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Article

Food Insecurity during the Pandemic in South Korea: The Effects of University Students’ Perceived Food Insecurity on Psychological Well-Being, Self-Efficacy, and Life Satisfaction

1
Smart Education Platform, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
2
Department of Culinary Arts and Foodservice Management, College of Hotel & Tourism Management, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
3
Center for Converging Humanities, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
*
Author to whom correspondence should be addressed.
Foods 2023, 12(18), 3429; https://doi.org/10.3390/foods12183429
Submission received: 14 August 2023 / Revised: 8 September 2023 / Accepted: 12 September 2023 / Published: 14 September 2023
(This article belongs to the Section Food Security and Sustainability)

Abstract

:
This study examined the impact of university students’ perceptions of food insecurity on psychological well-being, self-efficacy, and life satisfaction and observed that the students’ gender plays a moderating role in this causal relationship, based on a total of 491 university students who participated in this empirical study. This study used SPSS (Version 22.0) and AMOS (Version 20.0) for the analyses. This study examines the structural relationship of this causal model. Our findings suggest that students’ perceived food insecurity negatively affects the status of their psychological well-being and self-efficacy. However, contrary to expectations, perceived food insecurity has no negative effects on students’ life satisfaction. In addition, the level of students’ psychological well-being positively influences their life satisfaction, while self-efficacy does not. The moderating effects of gender differences in this research were also disclosed. Limitations and future research directions are also discussed.

1. Introduction

The global food environment is currently facing serious crises because of various external factors arising from environmental and social problems [1,2]. In particular, the COVID-19 pandemic, an unpredictable outbreak of infectious diseases, has caused diverse barriers that restrict people’s basic quality of life [3,4] and has brought significant negative impacts on global food security [5,6]. On account of quarantine and border closures caused by COVID-19, food exchange and trade between countries have been restricted, resulting in higher food prices and lower food accessibility [7,8,9]. Today’s rapid changes in the food environment are changing the way people consume and choose food, resulting in side effects that seriously threaten people’s eating habits [10,11,12,13,14]. It is expected that the broken balance between global food supply and demand will further exacerbate people’s food safety and dietary diversity in the years ahead [15,16,17].
As the food environment has become increasingly unstable with the progression of severe crises, the food insecurity problem has currently intensified at an alarming level [8,18,19]. In general, food security, defined as “people’s physical, social and economic access to sufficient, safe and nutritious food that meets their dietary needs and food preferences for an active and healthy life”, is based on four important pillars, namely the availability, accessibility, utilization, and stability of food [20]. These multidimensional aspects of food security are recognized as basic human rights to be guaranteed to all citizens [21]. In contrast to the notion of food security, food insecurity is most widely defined as “limited or uncertain availability of nutritionally adequate and safe foods or limited or uncertain ability to acquire acceptable foods in socially acceptable ways” [22]. It implies a situation in which an individual has difficulty obtaining food and suffers from nutrition deficiency with mental distress [23,24,25]. For this reason, food insecurity problems are perceived as severe threats to people’s daily lives, and they even result in many terrible diseases that not only affect physical aspects but also psychological well-being [26,27]. Furthermore, many recent research studies have confirmed that food insecurity issues are closely related to the level of one’s self-efficacy and life satisfaction [28]. According to previous studies, people who were brought up in food-secure and affluent households generally act in an autonomous manner with firm confidence, and they feel less restricted in attempting new challenges [29,30]. They can cultivate self-esteem through continuous processes of trial and error, and they intend to seize opportunities for developing self-efficacy [31,32]. Thus, food security is regarded as one of the primary assets that can enhance one’s psychological well-being and self-efficacy level, with a major role in improving overall satisfaction [33,34,35].
In the past, food insecurity, which has a profound impact on one’s life, was a socially problematic issue normally only found in disadvantaged households [36,37,38]. Today, however, as many environmental and social incidents that threaten stable food systems constantly occur around the world [39], the general public is also faced with a high vulnerability to the food insecurity problem [3,40]. In particular, university students who become an adult for the first time with unfamiliar autonomous discretion are recognized as the most economically and socially marginalized [41,42,43,44], and they are in danger of the high prevalence of food insecurity these days [14]. Although healthy eating habits need to be formed during that period, today’s university students often purchase relatively cheap and unhealthy ultra-processed foods, since they have no fixed income and have high living costs [45,46,47,48]. In addition, because they are swamped with studying and workloads, they do not have enough time to acquire fresh and healthy food regularly [49,50] and are eventually exposed to the risk of food insecurity, which becomes a serious threat to their health and even academic success [51,52]. Accordingly, unhealthy food consumption behavior is most observed in this generation of undergraduates, especially with respect to students who come from low-income and food-insecure families [53,54,55].
Since the eating habits of university students are the primary determinants that influence their entire lifetime’s eating habits [56,57,58] and the overall quality of life in the long run [59,60,61,62], it is necessary to examine the present status of students’ food insecurity level and also its impacts on psychological aspects that are related to the satisfaction of life [63,64,65]. However, most studies so far have focused on the impact of food insecurity on physical consequences such as nutritional status or physical illness. Moreover, there is little research that goes into great depth on the relationship between food insecurity and psychological or cognitive domains. In addition, despite the rapidly changing food environment after the COVID-19 pandemic, there is no research focusing on the food insecurity and psychological states of university students in Republic of Korea during the pandemic era. Therefore, existing research studies are insufficient for explaining the complex relationship of the research variables above; furthermore, intensive investigation should be carried out to clarify the exact influences on food insecurity. Under this research background, this study conducted a profound analysis to explore the relationships between food insecurity, psychological well-being, self-efficacy, and life satisfaction among university students in Republic of Korea.

2. Literature Review

2.1. Food Insecurity

Food insecurity, which means “limited availability of nutritionally adequate foods or uncertain ability to acquire safe foods in socially acceptable ways”, raises severe physical and psychological problems in peoples’ lives in both short and long terms [22,26,66]. In physical aspects, since people in food insecure households face chronic food shortages [67,68,69], they are generally in nutritional imbalance states, which cause health problems such as malnutrition or low blood pressure [52,70]. In addition, a lot of food insecure people are overly dependent on unprocessed or energy-dense food because of their limited food budget [71,72]. Accordingly, this unhealthy eating pattern leads them to the destruction of their physical condition by inducing various adult diseases such as overweight, obesity, diabetes, and even cardiovascular diseases [73,74].
Not only does food insecurity adversely affect physical health, but also it leads to fatal consequences for psychological and mental well-being [75,76,77]. Since food expense is one of the crucial and indispensable expenditures of everyday life, it is difficult to considerably save or reduce the budget [78,79]. Therefore, people who suffer from food insecurity are under tremendous stress, anxiety, fear, and even suicide ideation with financial pressure [80,81]. Moreover, when people cannot take enough nutrition and fail to satisfy their appetites, they tend to experience psychiatric disorders with severe depression which often manifest in abnormal or self-destructive behavior [82,83,84]. Therefore, there is no doubt that food insecurity causes great negative impacts not only on an individual’s physical and psychological well-being but also the overall quality of life [51,85,86,87]; this also produces negative knock-on effects on the stability of one’s family, community, and society as a whole [88,89,90]. Accordingly, many researchers in various fields are paying great attention to the significant function of food security and the seriousness of food insecurity problem issues around the world [91,92,93]. Governments are also attempting to seek efficient solutions for mitigating these grave problems [94,95,96,97].

2.2. Psychological Well-Being

The nature of one’s psychological well-being, which originated from positive psychology discourses, indicates one’s multidimensional, psychological, and spiritual state, which is derived from favorable affects and the perceived feelings of satisfaction in one’s daily life, and it is greatly influenced by various surrounding environmental factors [98]. For this reason, psychological well-being is very difficult to define exactly and is used interchangeably with the terms of subjective well-being, subjective quality of life, and happiness [99]. Ryff [100], one of the distinguished scholars in psychological well-being research, emphasized the eudaemonic aspects of well-being and embodied the concept of psychological well-being through a specific multidimensional model comprising the notions of autonomy, environmental mastery, personal growth, positive relations, purpose, and self-acceptance.
In the context of food and eating, however, psychological well-being has been interpreted in more expanded views including hedonic aspects [101,102]. The reason is that in people’s lives, food is not only responsible for supplying fundamental nutrients, but also has the potential to elevate moods through the pleasure of gastronomy and commensality [103]. Therefore, many studies exploring the relationship between one’s dietary pattern and psychological well-being have been conducted from diverse areas of research. For example, in clinical fields, Barnhart et al. [104] and Chan and Chiu [105] identified that peoples’ disordered eating behaviors are closely connected with their psychological well-being. Moreover, in the studies of Bucchianeri et al. [106] and Ickes et al. [107], the associations between one’s eating habits and psychological health appear differently depending on specific demographic information such as age, gender, or race. Many researchers today especially pay great attention to the topic of students’ psychological well-being related to their food insecurity status. Men and Tarasuk [108] and Polsky and Gilmour [109] asserted that a lot of students around the world seriously suffer from psychological problems, which have been derived from food insecurity since the COVID-19 pandemic. Men et al. [110] also found that food insecurity hinders students’ academic success and even causes considerable psychological stresses, which become a real threat to their whole lives.

2.3. Self-Efficacy

Self-efficacy, stemming from Bandura’s social cognitive theory, is defined as “one’s belief in their capability to regulate negative emotions and to plan and follow sustainable actions which will bring desired outcomes and achievements” [111]. Bandura [111] discovered the critical function of self-efficacy in people’s lives and disclosed that self-efficacy gives them confidence to change existing behaviors and enhances the possibility of creating better performances in the future [112]. Due to this hopeful and future-oriented nature, the notion of self-efficacy has been treated as significant in the healthcare industry to help patients recover [113], and it also draws a great deal of attention from many researchers for improving public health and welfare to this day [114,115].
In the context of food and eating, consumers’ self-efficacy has become more important in making healthy and safe food choices under an industrialized food system [116]. As Anderson et al. [117] pointed out, individuals who have high levels of self-efficacy and self-confidence are not easily tempted by junk foods and maintain healthy diets with daily exercises. Moreover, many researchers discovered that self-efficacy levels in choosing healthy foods can be greatly enhanced through social support such as families assisting with home meal preparation, financial aid from communities, or health promotion interventions from educational institutions [118,119,120,121]. Furthermore, it was discovered that self-efficacy plays a pivotal role in increasing one’s food security levels, especially when people are under poor surrounding conditions of living or in a terrible environmental crisis [122,123]. Therefore, self-efficacy is closely bound up with one’s eating habits, and it is considered to be a critical factor in determining the quality of their overall dietary life.

2.4. Life Satisfaction

Life satisfaction, generally defined as “individual’s subjective evaluation of their overall quality of life”, is closely linked with the ideas of happiness and the achievement of a meaningful life [124,125]. In other words, the level of life satisfaction relies heavily on people’s positive affectivity and perceived quality of life and well-being [126]. Therefore, many researchers in positive psychology consider the satisfaction with life index to be a significant construct for predicting people’s mental health [127] and discovered that not only internal personal factors such as personalities but also diverse external influences such as interpersonal relations, working environments, or media seriously affect people’s satisfaction with their lives [128,129,130].
Food and healthy eating, which are indispensable elements in maintaining one’s life, are significant factors that determine people’s quality of life and satisfaction level [131,132]. For this reason, various research have explored the complex relationship between people’s eating behavior and life satisfaction [133,134]. In a recent study by Hempel and Roosen [135], the associations between the purchase intention of healthy food, locus of control, and life satisfaction was analyzed in detail in the context of COVID-19. Furthermore, Selvamani et al. [136] and Holm et al. [137] discovered that food insecurity is a key obstacle in practicing healthy eating habits, consequently inducing serious negative impacts on people’s life satisfaction.

3. Research Hypothesis

According to previous studies, food security is positively related to people’s safe and happy life and negatively related to both their physical and psychological health [20]. This indicates that if people have insufficient resources or inadequate capabilities for sustaining stable diets, people feel threatened and even fear for their whole livelihood at a dangerously high level [81,85]. This tendency toward food insecurity has been stronger than in the past, especially for university students [14,51]. Accordingly, the low level of food security is expected to have serious adverse effects on students’ psychological and mental states and even aggravate their overall life satisfaction.

3.1. Relationship between Food Insecurity and Psychological Well-Being

Food insecurity is closely linked to one’s poor health, especially with regard to psychological and mental aspects [27,138]. According to the research studies of Jessiman-Perreault and McIntyre [139] and Men et al. [110], students’ food insecurity has significant adverse effects on their mental stability. Moreover, Bruening et al. [140] and Reeder et al. [82] identified that food insecurity exacerbates students’ psychological disorder problems by severely interfering with their daily functioning in school life. In addition, Men and Tarasuk [108] and Polsky and Gilmour [109] found that many students have been suffering from serious psychological distress derived from food insecurity since the COVID-19 pandemic, and this tendency is particularly stronger in students who were under severe food restraints from financial vulnerability and inaccessibility to healthy foods [141,142]. Therefore, this study assumes that university students’ food insecurity will have a negative influence on their psychological well-being.
H1. 
Food insecurity negatively influences psychological well-being.

3.2. Relationship between Food Insecurity and Self-Efficacy

Not only students’ psychological well-being but also their self-efficacy is closely associated with the notion of food insecurity [28,122,143]. According to Anderson et al. [112] and Martin et al. [35], an individual’s food insecurity situation has a great detrimental effect on psychological aspects as well as cognitive skills such as self-efficacy, self-esteem, and self-confidence. Moreover, as Muturi et al. [132] notes, self-efficacy plays a crucial role in enhancing the food security level of adolescents, especially when they are under poor surrounding conditions of living or in a terrible environmental crisis. Based on these prior findings, similar results were expected in this research on university students, and this study proposes the following hypothesis as follows:
H2. 
Food insecurity negatively influences self-efficacy.

3.3. Relationship between Food Insecurity and Life-Satisfaction

Life satisfaction is another important element that is intertwined with one’s food security status. Chung et al. [144] and Grunert et al. [145] verified serious adverse effects of food insecurity on the life satisfaction of individuals. In addition, in the studies of Salahodjaev and Mirziyoyeva [19] and Holm et al. [137], food insecurity derived from unstable food costs and restrictive access to a safe food environment is a major obstacle in practicing healthy eating diets, consequently inducing serious negative impacts on people’s life satisfaction. Therefore, on the basis of previous research results, this study formulates the following hypothesis to examine the influence of food insecurity on students’ life satisfaction:
H3. 
Food insecurity negatively influences life satisfaction.

3.4. Relationship between Psychological Well-Being and Life Satisfaction

As well as people’s food security status, psychological well-being is closely related to perceived quality of life and overall life satisfaction [125,126,127]. According to the prior findings of Hege et al. [60], one’s psychological well-being has a positive impact on their life satisfaction. In addition, Magallares et al. [146] asserted that psychological well-being and life satisfaction are inextricably linked to each other and should be considered together in people’s daily lives. For these reasons, this study assumes that university students’ psychological well-being will positively affect their life satisfaction level.
H4. 
Psychological well-being positively influences life satisfaction.

3.5. Relationship between Self-Efficacy and Life Satisfaction

Self-efficacy, which refers to the belief that one can perform a specific action to achieve one’s goal, not only plays a role in encouraging action in real life but also sways one’s satisfaction level of their overall quality of life [29]. In the studies of Hempel and Roosen [135] and Muturi et al. [123], self-consciousness such as self-efficacy and self-esteem has a major impact on one’s quality of life by determining life satisfaction levels. Furthermore, Berman [147], Oishi et al. [148], and Proctor and Linley [149] identified self-efficacy as an influential predictor in measuring people’s life satisfaction and perceived quality of life. In this context, this study proposes the following hypothesis:
H5. 
Self-efficacy positively influences life satisfaction.

3.6. Moderating Role of Gender

According to the results of the research by Rajikan et al. [61], male students tend to be more conscious of their food insecurity than female students. Also, Barry et al. [56] identified that males, especially those who are inexperienced in solving their food insecurity status, face more serious difficulties in coping with poor daily diets than females who generally have more knowledge about skillfully managing their eating plans. On the contrary, Becerra and Becerra [150], Bruening et al. [24], and Jung et al. [36] verified that female students are more vulnerable to food insecurity, and they sustain a lot of mental traumas from their precarious living and unstable eating habits. Based on the various results of these preceding studies, it is expected that the moderating effect of gender will be discovered in this research (see Figure 1).
H6. 
Gender moderates the effects of food insecurity on psychological well-being, self-efficacy, and life satisfaction.

4. Methodology

4.1. Sample and Data Collection

In this study, university students were selected as subjects, and questionnaires were disseminated and collected using Embrain, a specialized data collection company. The English questions in the original questionnaire were translated into Korean and then translated again into English to confirm that there was no contextual difference between the Korean and English versions [151]. Prior to the main survey, a preliminary survey was administered to 50 subjects. Based on the results of this survey, questions found to be difficult or ambiguous were modified for use in the main survey. In total, 500 questionnaires were distributed over a one-month period from 1–15 October 2022. The respondents were assured that the data collected would remain confidential. In total, 491 questionnaires were used in the final analysis. The survey respondents consisted of 332 females (67.6%) and 159 males (32.4%), with a relatively similar number of students according to grade: first year (n = 124, 25.3%), second year (n = 126, 25.6%), third year (n = 117, 23.8%), and fourth year (n = 124, 25.3%).

4.2. Measures

In this study, university students’ perceptions of a set of variables (e.g., food insecurity, psychological well-being, self-efficacy, and life satisfaction) were measured. Based on the preliminary survey, 18 questions were selected, and all items were measured on a 7-point Likert scale (not at all to very much). A 7-point scale was selected because the respondents were less likely to be biased toward the median compared to a 5-point scale. In addition, a 7-point scale can more readily identify differences among respondents. Moreover, in this study, each item was measured using multiple questions, because multiple questions per item can measure research concepts more precisely than a single question per item. The general characteristics of the subjects comprised two questions each for gender and grade.
In addition to background information, food insecurity, which is defined as the limited availability of nutritionally safe food or the uncertain ability to obtain food in a socially acceptable way, was measured with six questions with reference to the questions used in a study by Johnson et al. [152]. These included the following two questions: “During the last 12 months, you ate less than you thought you should?” and “You were worried you would not have enough food to eat?” Psychological well-being, a psychological concept that is considered to constitute the quality of an individual’s life, was measured with five statements based on a study by Ryff [98]. The statements used for measuring this item included the following: “In general, I feel I am in charge of the situation in which I live, and I find it satisfying to think about what I have accomplished in life”. Self-efficacy, which refers to the self-evaluation of one’s belief in their ability to reach a goal, was measured with five statements based on studies by Bandura [111] and Schwarzer and Jerusalem [153]. The statements for measuring this item included “I can always manage to solve difficult problems if I try hard enough, and I am confident that I could deal efficiently with unexpected events”. Life satisfaction, which can be defined as the evaluation of a person’s perceived satisfaction with their overall life [154,155], was measured using three statements based on a study by Diener et al. [156] and it included statements, such as “The conditions of my life are excellent, and I am satisfied with my life”.

4.3. Statistical Analysis

The collected data were analyzed using Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS). The normal distribution of the measurement items was confirmed, and common-method variance (CMV) was tested using multicollinearity and the Harman test. The validity and reliability of the measurement items were verified through confirmatory factor analysis (CFA) and reliability analysis. The average variance extracted (AVE), composite construct reliability (CCR), average shared variance (ASV), and maximum shared variance (MSV) were calculated to determine the validity of the measurement items [157]. In addition, structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the study’s hypotheses [158].

5. Results

5.1. Measurement Model

Table 1 shows the reliability and validity analysis results for the measurement items used in this study. An exploratory factor analysis was conducted prior to the reliability and validity analysis to examine the presence or absence of common method bias (CMB). The results were factorized into a total of four factors with an eigen value of 1 or above, and the total explanatory power was 82.341%, which is very good. The first factor’s explanatory power was 35.783, accounting for less than half of the total explanatory power, which confirmed that the level of CMB was very low. Based on these results, CFA was performed. As shown by the results, the model’s goodness of fit was satisfactory, with χ2 = 497.979, df = 129, χ2/df = 3.860, GFI = 0.894, TLI = 0.929, CFI = 0.940, IFI = 0.940, RMSEA = 0.076, and RMR = 0.054. The standardized regression coefficients of all measurement items were statistically significant (p < 0.001), the CCR and Cronbach’s alpha values were 0.7 or above, and the AVE value was 0.5 or above, which was excellent. Therefore, the reliability and validity of the measurement items used in this study met the required criteria [159]. A correlation analysis was conducted to determine whether the direction between the measurement items was consistent with the direction of the hypotheses (Table 2). As shown by the results, both the direction of the hypotheses and the correlation coefficients were consistent.

5.2. SEM

In this study, a structural equation analysis was employed to verify the five hypotheses proposed to consider the direct impact of the measurement items (Table 3). The final model’s goodness of fit was relatively good, with χ2 = 372.917, df = 127, χ2/df = 2.936, GFI = 0.924, IFI = 0.960, CFI = 0.960, RMR = 0.48, and RMSEA = 0.063. Although a better fit could have been obtained using a modified index, this study’s final model was confirmed without using the index in this study to ensure its validity. Hypothesis 1 assumed that university students’ perceptions of food insecurity would have a negative impact on their psychological well-being. This hypothesis was accepted, given that a higher awareness of food insecurity led to a corresponding lower level of psychological well-being (β = −0.129, t-value = −2.476, p < 0.05). Hypothesis 2 assumed that perceived food insecurity would lower self-efficacy. This hypothesis was also accepted because university students’ food insecurity significantly reduced their self-efficacy (β = −0.144, t-value = −2.814, p < 0.01). This means that students’ greater anxiety about food and their experience of inadequate food reduced their psychological well-being and self-confidence in their abilities. However, the negative impact of food insecurity on life satisfaction, as set out in Hypothesis 3, was rejected because the impact was not significant (β = −0.029, t-value = −0.085, p > 0.05). Hypothesis 4, which assumed that university students’ psychological well-being would increase their life satisfaction, was also accepted (β = 0.715, t-value = 9.566, p < 0.001). This means that a psychologically enjoyable and fulfilling emotional state improves life satisfaction. Finally, the positive impact of self-efficacy on life satisfaction, which was set out in Hypothesis 5, was rejected because this impact turned out to be insignificant (β = 0.080, t-value = 1.189, p > 0.05).

5.3. Moderating Effect of Gender

To verify the moderating role of gender (Hypothesis 6) in the relationship between food insecurity and psychological well-being, self-efficacy, and life satisfaction, a multi-group analysis was performed using the difference in the degree of freedom between the free and constraint models (Table 4). Given that the difference in the degree of freedom between these models was 1, a significant moderating effect can be assumed if the difference in the chi-square value is greater than 3.84. Before verifying the moderating effect, we analyzed measurement invariance according to gender. As shown by the results, there was no significant difference in the invariance model. Therefore, it was also confirmed in advance that there was no problem with measurement invariance [160]. As a result of the study’s analysis, a gender-specific moderating effect was found in the negative impact of food insecurity perceived by university students on their psychological well-being and self-efficacy. To be specific, the negative impact of food insecurity on psychological well-being was significantly greater among male than female students (male students: β = −0.307, t-value = −3.347, p < 0.001; female students: β = −0.033, t-value = −0.512, p > 0.05). Thus, Hypothesis 6a was accepted. In addition, the negative impact of food insecurity on self-efficacy was greater among male students (β = −0.314, t-value = −3.506, p < 0.001) than female students (β = −0.059, t-value = −0.955, p > 0.05). Thus, Hypothesis 6b was also accepted. However, Hypothesis 6c was rejected because no significant difference was found in the effect of food insecurity on life satisfaction by gender. Based on these findings, the negative impact of food insecurity perceived by university students on their psychological well-being and self-efficacy was greater among male students. This result suggests that stronger awareness of food insecurity lowers an individual’s psychological well-being and confidence and that this negative impact is greater among male students.

6. Discussion and Implications

6.1. Conclusions and Discussion

The aim of this study is to explore the relationships between food insecurity, psychological well-being, self-efficacy, and life satisfaction among university students in South Korea. Our findings suggest that students’ perceived food insecurity negatively affects the status of psychological well-being. This result is consistent with preceding studies, which have confirmed that students’ food insecurity causes serious damage to their mental stability [110,139], and it exacerbates their psychological disorder problems by severely interfering with their everyday lives [82,138,140]. This finding also coincides with prior research results, which state that many students are suffering from serious psychological distress derived from food insecurity since the COVID-19 pandemic [108,109], and this tendency was particularly stronger in students who were under severe food restraints with financial vulnerability and inaccessibility to healthy foods [141,142]. Moreover, not only students’ psychological well-being but also self-efficacy is deeply associated with the notion of food insecurity [28,122,123,143]. It reconfirms previous research that states that an individuals’ food insecurity situation has a great detrimental effect on psychological aspects as well as cognitive skills such as self-efficacy, self-esteem, and self-confidence [35,112].
However, contrary to expectations, perceived food insecurity has no negative effects on students’ life satisfaction. Although this result is different from the majority of the prior studies that verified adverse effects of food insecurity on individuals’ life satisfaction [32,50,78,137,144], it is consistent with earlier studies conducted among university students who have other distinct important priorities such as housing, financial situation, or human relations rather than food security status [161]. Since the primary factors influencing individual life satisfaction may differ by each country [162] and generation [49,50], an analysis considering cultural and environmental contexts is necessary. Future qualitative studies are critically needed to clarify which living condition sources or personal factors, rather than food security, contribute to determining students’ overall contentment with life.
In addition, the level of students’ psychological well-being positively influences their life satisfaction [60,146]. One of the key results from this study is that, among research variables, psychological well-being has the largest influence on students’ life satisfaction. These findings are consistent with previous studies that confirm that psychological well-being and life satisfaction are inextricably linked to each other [163,164].
However, unlike the close relationship between psychological well-being and life satisfaction, not statistically significant results were obtained for the relationship between self-efficacy and life satisfaction. Although many researchers claim that one’s self-consciousness such as self-efficacy and self-esteem has a major impact on one’s quality of life by determining life satisfaction levels [122,135], no similar results were found in this study sample. This result indicates that self-efficacy is not an influential predictor of university students’ life satisfaction, and there is a need to closely examine other significant factors that directly affect students’ daily lives from a practical point of view. As mentioned earlier, life satisfaction factors may vary depending on the situation of each country or each age group, and individuals derive satisfaction from different sources based on their personal code of values [161]. In this sense, more studies need to be continued in the future to explore complex relationships between students’ life satisfaction and the potentially influential predictors of them.
Concerning the moderating effects of gender in this study, the results partially supported hypothesis 6, because the negative impact of food insecurity on psychological well-being and self-efficacy was greater in male students rather than female students. This finding is similar with preceding studies, which indicate that male students tend to be more conscious of their food insecurity status [56] and sustain a lot of mental traumas from their precarious living situations [165]. Although there are prior studies reporting that females are more vulnerable to food insecurity [150], our findings contradict this, and one possible explanation could be that males are more inexperienced in solving their food insecurity status and have more difficulty coping with poor diets than females who generally have more knowledge about skillfully managing their diet plans [56]. In addition, another plausible reason is that each research may achieve different results depending on the national and cultural circumstances or other extraneous contextual factors in which the respondents are placed [128]. Further exploration studies are needed to confirm these results and establish the primary causes of gender difference. Therefore, all the research variables in this study should be underscored as important factors, and further extended studies must be carried out to provide better insight concerning students’ food insecurity status. It is expected that future studies with more macroscopic and holistic views will be needed to derive more valuable information for the enhancement of students’ food security.

6.2. Implications for Research and Practice

Since food dominates one’s life, food insecurity is a very significant issue that needs to be urgently addressed. Through previous studies and the results presented in this research, it has clearly been shown that food insecurity affects university students’ psychological well-being and self-efficacy, and side effects of food insecurity impose serious negative barriers on students’ daily lives. Since students’ academic success and overall well-being cannot be achieved when they are under a lot of psychological stress derived from poor and irregular eating habits, it is necessary to find effective ways to solve food insecurity problems. Based on these findings, this study suggests multiple significant implications for university, government, and local organizational institutions.
First, universities should pay more attention to the issue of students’ food insecurity and further accelerate related research from various angles. To be more specific, not only qualitative approaches but also preemptive and qualitative research methods will be helpful for closely examining students’ present food security situation and hearing their personal thoughts on related issues. In particular, the in-depth interview method will be the surest way for discovering students’ true feelings about their food insecurity status by exploring the primary factors of food security such as high food prices, raises in tuition fees, low income, or inadequate financial aid. This will also be effective in the finding of key solutions to fundamental problems that arise in each student’s situation. In addition, dividing students into subgroups according to their food security levels based on standardized criteria categories may be an efficient way to find suitable solutions for each group [79]. Identifying distinct characteristics of different groups and discovering their common features will be a great help to researchers for looking for appropriate solutions for each group and suggesting implications for reducing food insecurity severities.
Secondly, in a more practical sense, universities should provide student assistance programs and internally create stable food environments for the enhancing of students’ food security. For example, by conducting systemic food literacy education or nutritional classes as part of the required curriculum, universities can help students recognize the importance of ideal eating habits by guiding them on how to maintain sustainable healthy diets even with limited resources. In order to successfully implement these educational intervention strategies, exploiting media tools and developing online educational programs will be very effective in increasing students’ accessibility so that many students can easily utilize educational programs more often, without restrictions on time and space. According to related prior studies, the fact that many students want this type of university food-related education and additional outreach for alleviating their food insecurity was established [142], and it was proven that students succeeded in making ideal food choices and maintaining healthy eating habits through these educational programs [54]. However, universities’ systematic education about food security were found to be insufficient in the case of South Korea when comparing with that of Western nations. Therefore, educators and supporters who are engaged in Korean universities should lead stronger efforts to prepare structured educational environments and provide systematic programs with supportive services. If additional longitudinal studies that verify the short-term and long-term effectiveness of food security educations on students are conducted, universities’ educational programs will become strengthened, progressively improving students’ food security status and promoting their well-being.
Furthermore, in addition to micro level implications for university institutions, as a measure of precaution against aggravating students’ food insecurity status, more solutions from a macroscopic perspective must be prepared as well. For instance, universities can provide various campaign activities such as farmer’s market or campus food pantries in concert with local organizations. This type of national and community level support will promote both student awareness of food security issues and the possibility of purchasing healthy ingredients at a reasonable price. In addition, public health professionals should simultaneously work with university institutions to screen students’ food security in a more systematic manner in order to suggest reasonable policies for improving student welfare. These collective efforts and integrative cooperation among various actors in society will greatly assist food insecure students in need of immediate financial support and practical help. All these holistic approaches and social cohesions for alleviating multi-faceted risk factors that threaten students’ food security are expected to contribute to proposing sustainable eating plans over the long run.

6.3. Strengths and Limitations

To the best of our knowledge, this study is the first research work that thoroughly focuses on the effects of university students’ food insecurity on their psychological states and life satisfaction in Republic of Korea during the COVID-19 pandemic. Moreover, unlike many previous studies that solely address the subject of food insecurity with physical health, this research deeply examines the potential effects of perceived food insecurity on various psychological and cognitive aspects from the perspective of university students. In addition, it incorporates a unique research concept, which is self-efficacy, into the food insecurity issue and also explored gender differences to provide more interesting implications. Thus, this research is considered meaningful in terms of expanding the scope of existing research by providing valuable research data with novel viewpoints. Therefore, further extended studies with more macroscopic and holistic views are needed to derive more valuable information and to provide better insight into the enhancement of students’ food security.
Even though this study includes important considerations and future implications from various perspectives, it must be acknowledged that it still has several limitations. First, the respondents to the survey are limited to university students in South Korea, which means that it is difficult to generalize the results for people of all ages around the world. Therefore, additional meaningful results will be obtained if follow-up research is conducted targeting more diverse cultural groups. Second, because this study only used quantitative research methods, there is a possibility that the psychological aspects of the respondents were not sufficiently reflected. Therefore, if qualitative investigations such as focus group discussions or one-on-one in-depth interviews are conducted, researchers may obtain more detailed information from respondents. Third, this study solely examines the moderating effects of gender differences. In order to achieve specific results from more expanded perspectives, it is imperative to verify the moderating effects of other influential demographic factors, such as students’ grades, food cost standards, and dwelling environments. Lastly, since this study only focuses on food insecurity with several psychological domains and the cognitive aspects of students, future studies can expand the scope of the research by combining both physical outcomes and psychological consequences with students’ food insecurity status.

Author Contributions

The authors contributed equally to this work. Conceptualization, Y.L. and H.J.; methodology, H.J. and H.Y.; software, Y.L., H.J. and H.Y.; validation, Y.L. and H.J.; formal analysis, Y.L. and H.J.; Investigation and data curation, Y.L. and H.J.; writing—original draft preparation, Y.L., H.J., T.K. and H.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the first author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Khojasteh, D.; Davani, E.; Shamsipour, A.; Haghani, M.; Glamore, W. Climate change and COVID-19: Interdisciplinary perspectives from two global crises. Sci. Total Environ. 2022, 844, 157142. [Google Scholar] [PubMed]
  2. Paslakis, G.; Dimitropoulos, G.; Katzman, D.K. A call to action to address COVID-19–induced global food insecurity to prevent hunger, malnutrition, and eating pathology. Nutr. Rev. 2021, 79, 114–116. [Google Scholar] [PubMed]
  3. Kakaei, H.; Nourmradi, H.; Bakhtiyari, S.; Jalilian, M.; Mirzaei, A. Effect of COVID-19 on food security, hunger, and food crisis. In COVID-19 and the Sustainable Development Goals; Elsevier: Amsterdam, The Netherlands, 2022; pp. 3–19. [Google Scholar]
  4. Pereira, M.; Oliveira, A.M. Poverty and food insecurity may increase as the threat of COVID-19 spreads. Public Health Nutr. 2020, 23, 3236–3240. [Google Scholar] [CrossRef] [PubMed]
  5. Owens, M.R.; Brito-Silva, F.; Kirkland, T.; Moore, C.E.; Davis, K.E.; Patterson, M.A.; Tucker, W.J. Prevalence and social determinants of food insecurity among college students during the COVID-19 pandemic. Nutrients 2020, 12, 2515. [Google Scholar]
  6. Smith, M.D.; Wesselbaum, D. COVID-19: Food insecurity, and migration. J. Nutr. 2020, 150, 2855–2858. [Google Scholar]
  7. Mihrshahi, S.; Dharmayani, P.N.A.; Amin, J.; Bhatti, A.; Chau, J.Y.; Ronto, R.; Taylor, M. Higher prevalence of food insecurity and psychological distress among international university students during the COVID-19 pandemic: An australian perspective. Int. J. Environ. Res. Public Health 2022, 19, 14101. [Google Scholar]
  8. Niles, M.T.; Bertmann, F.; Belarmino, E.H.; Wentworth, T.; Biehl, E.; Neff, R. The early food insecurity impacts of COVID-19. Nutrients 2020, 12, 2096. [Google Scholar]
  9. Torero, M. Without food, there can be no exit from the pandemic. Nature 2020, 580, 588–589. [Google Scholar]
  10. Hammons, A.J.; Robart, R. Family food environment during the COVID-19 pandemic: A qualitative study. Children 2020, 8, 354. [Google Scholar]
  11. Kent, K.; Murray, S.; Penrose, B.; Auckland, S.; Visentin, D.; Godrich, S.; Lester, E. Prevalence and socio-demographic predictors of food insecurity in Australia during the COVID-19 pandemic. Nutrients 2020, 12, 2682. [Google Scholar] [CrossRef]
  12. Leddy, A.M.; Weiser, S.D.; Palar, K.; Seligman, H. A conceptual model for understanding the rapid COVID-19–related increase in food insecurity and its impact on health and healthcare. Am. J. Clin. Nutr. 2020, 112, 1162–1169. [Google Scholar] [PubMed]
  13. Lauren, B.N.; Silver, E.R.; Faye, A.S.; Rogers, A.M.; Woo-Baidal, J.A.; Ozanne, E.M.; Hur, C. Predictors of households at risk for food insecurity in the United States during the COVID-19 pandemic. Public Health Nutr. 2021, 24, 3929–3936. [Google Scholar]
  14. Vilme, H.; Duke, N.N.; Dokurugu, Y.; Akin-Odanye, E.O.; Paul, C.J.; Kaninjing, E.; Muiruri, C. Food insecurity among university students in the United States amidst the COVID-19 pandemic. J. Am. Coll. Health 2022, 1–6. [Google Scholar] [CrossRef]
  15. Adams, E.L.; Caccavale, L.J.; Smith, D.; Bean, M.K. Food insecurity, the home food environment, and parent feeding practices in the era of COVID-19. Obesity 2020, 28, 2056–2063. [Google Scholar] [PubMed]
  16. Fang, D.; Thomsen, M.R.; Nayga, R.M. The association between food insecurity and mental health during the COVID-19 pandemic. BMC Public Health 2021, 21, 607. [Google Scholar]
  17. Vandevijvere, S.; De Ridder, K.; Drieskens, S.; Charafeddine, R.; Berete, F.; Demarest, S. Food insecurity and its association with changes in nutritional habits among adults during the COVID-19 confinement measures in Belgium. Public Health Nutr. 2021, 24, 950–956. [Google Scholar] [CrossRef]
  18. Graham, E.; Dallmann, D.; Melgar-Quiñonez, H. Gender disparities in perceived life satisfaction within food insecure populations. Food Secur. 2019, 11, 493–502. [Google Scholar]
  19. Salahodjaev, R.; Mirziyoyeva, Z. The link between food security and life satisfaction: Panel data analysis. Sustainability 2021, 13, 2918. [Google Scholar]
  20. Sulaiman, N.; Yeatman, H.; Russell, J.; Law, L.S. A food insecurity systematic review: Experience from Malaysia. Nutrients 2021, 13, 945. [Google Scholar]
  21. Chilton, M.; Rose, D. A rights-based approach to food insecurity in the United States. Am. J. Public Health 2009, 99, 1203–1211. [Google Scholar]
  22. United States Department of Agriculture. Food Security in the U.S.: Measurement. 2015. Available online: http://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/measurement.aspx (accessed on 1 September 2016).
  23. Balistreri, K.S. A decade of change: Measuring the extent, depth and severity of food insecurity. J. Fam. Econ. Issues 2016, 37, 373–382. [Google Scholar] [PubMed]
  24. Mechler, H.; Coakley, K.; Walsh-Dilley, M.; Cargas, S. Examining the relationship between food insecurity and academic performance: Implications for diversity and equity in higher education. J. Coll. Stud. Retent. Res. Theory Pract. 2021, 1–16. [Google Scholar] [CrossRef]
  25. Nazmi, A.; Martinez, S.; Byrd, A.; Robinson, D.; Bianco, S.; Maguire, J.; Ritchie, L. A systematic review of food insecurity among US students in higher education. J. Hunger Environ. Nutr. 2019, 14, 725–740. [Google Scholar]
  26. Adamovic, E.; Newton, P.; House, V. Food insecurity on a college campus: Prevalence, determinants, and solutions. J. Am. Coll. Health 2022, 70, 58–64. [Google Scholar]
  27. Bruening, M.; Dinour, L.M.; Chavez, J.B.R. Food insecurity and emotional health in the USA: A systematic narrative review of longitudinal research. Public Health Nutr. 2017, 20, 3200–3208. [Google Scholar]
  28. Godrich, S.L.; Loewen, O.K.; Blanchet, R.; Willows, N.; Veugelers, P. Canadian children from food insecure households experience low self-esteem and self-efficacy for healthy lifestyle choices. Nutrients 2019, 11, 675. [Google Scholar]
  29. Bandura, A. Self-Efficacy: The Exercise of Control; Freeman: New York, NY, USA, 1997. [Google Scholar]
  30. Ke, J.; Ford-Jones, E.L. Food insecurity and hunger: A review of the effects on children’s health and behaviour. Paediatr. Child. Health 2015, 20, 89–91. [Google Scholar] [CrossRef]
  31. Ashiabi, G.S.; O’Neal, K.K. A framework for understanding the association between food insecurity and children’s developmental outcomes. Child Dev. Perspect. 2008, 2, 71–77. [Google Scholar]
  32. Stebleton, M.J.; Lee, C.K.; Diamond, K.K. Understanding the food insecurity experiences of college students: A qualitative inquiry. Rev. High. Educ. 2020, 43, 727–752. [Google Scholar] [CrossRef]
  33. Bruening, M.; Argo, K.; Payne-Sturges, D.; Laska, M.N. The struggle is real: A systematic review of food insecurity on postsecondary education campuses. J. Acad. Nutr. Diet. 2017, 117, 1767–1791. [Google Scholar]
  34. Kornher, L.; Sakketa, T.G. Does food security matter to subjective well-being? Evidence from a cross-country panel. J. Int. Dev. 2021, 33, 1270–1289. [Google Scholar] [CrossRef]
  35. Martin, K.S.; Colantonio, A.G.; Picho, K.; Boyle, K.E. Self-efficacy is associated with increased food security in novel food pantry program. SSM-Popul. Health 2016, 2, 62–67. [Google Scholar] [PubMed]
  36. Jung, N.M.; de Bairros, F.S.; Pattussi, M.P.; Pauli, S.; Neutzling, M.B. Gender differences in the prevalence of household food insecurity: A systematic review and meta-analysis. Public Health Nutr. 2017, 20, 902–916. [Google Scholar] [PubMed]
  37. Kirkpatrick, S.I.; Tarasuk, V. Assessing the relevance of neighbourhood characteristics to the household food security of low-income Toronto families. Public Health Nutr. 2010, 13, 1139–1148. [Google Scholar] [PubMed]
  38. Weigel, M.M.; Armijos, R.X.; Racines, M.; Cevallos, W. Food insecurity is associated with undernutrition but not overnutrition in Ecuadorian women from low-income urban neighborhoods. J. Environ. Public Health 2016, 2016, 8149459. [Google Scholar]
  39. Marques, B.; Azevedo, J.; Rodrigues, I.; Rainho, C.; Gonçalves, C. Food insecurity levels among university students: A cross-sectional study. Societies 2022, 12, 174. [Google Scholar]
  40. Kent, K.; Visentin, D.; Peterson, C.; Ayre, I.; Elliott, C.; Primo, C.; Murray, S. Severity of food insecurity among Australian university students, professional and academic staff. Nutrients 2022, 14, 3956. [Google Scholar]
  41. Brescia, S.A.; Cuite, C.L. Understanding coping mechanisms: An investigation into the strategies students use to avoid, manage, or alleviate food insecurity. J. Coll. Character 2019, 20, 310–326. [Google Scholar] [CrossRef]
  42. Hattangadi, N.; Vogel, E.; Carroll, L.J.; Côté, P. Everybody I know is always hungry… but nobody asks why: University students, food insecurity and mental health. Sustainability 2019, 11, 1571. [Google Scholar]
  43. Henry, L. Understanding food insecurity among college students: Experience, motivation, and local solutions. Ann. Anthropol. Pract. 2017, 41, 6–19. [Google Scholar]
  44. Schnettler, B.; Miranda-Zapata, E.; Grunert, K.G.; Lobos, G.; Denegri, M.; Hueche, C.; Poblete, H. Life satisfaction of university students in relation to family and food in a developing country. Front. Psychol. 2017, 8, 1522. [Google Scholar] [PubMed]
  45. Bennett, C.J.; Christian, M.; Phan, S.; McCabe, M.; Cornish, K.; Kleve, S. Food insecurity during COVID-19: An Australian university experience. Health Soc. Care Comm. 2022, 30, 5401–5411. [Google Scholar]
  46. Christensen, K.A.; Forbush, K.T.; Richson, B.N.; Thomeczek, M.L.; Perko, V.L.; Bjorlie, K.; Mildrum, C.S. Food insecurity associated with elevated eating disorder symptoms, impairment, and eating disorder diagnoses in an American university student sample before and during the beginning of the COVID-19 pandemic. Int. J. Eat. Disord. 2021, 54, 1213–1223. [Google Scholar] [PubMed]
  47. Ellison, B.; Bruening, M.; Hruschka, D.J.; Nikolaus, C.J.; van Woerden, I.; Rabbitt, M.P.; Nickols-Richardson, S.M. Food insecurity among college students: A case for consistent and comparable measurement. Food Policy 2021, 101, 102031. [Google Scholar]
  48. Zigmont, V.; Linsmeier, A.; Gallup, P. Understanding the why of college student food insecurity. J. Hunger Environ. Nutr. 2021, 16, 595–610. [Google Scholar] [CrossRef]
  49. McCloskey, M. Exercise and Eating Habits of University Students in Relation to Their Body Image and Life Satisfaction; Department of Psychology, Dublin Business School: Dublin, Ireland, 2019. [Google Scholar]
  50. Schnettler, B.; Miranda, H.; Lobos, G.; Orellana, L.; Sepúlveda, J.; Denegri, M.; Grunert, K.G. Eating habits and subjective well-being: A typology of students in Chilean state universities. Appetite 2015, 89, 203–214. [Google Scholar]
  51. Ahmad, N.S.S.; Sulaiman, N.; Sabri, M.F. Food insecurity: Iis it a threat to university students’ well-being and success? Int. J. Environ. Res. Public Health 2021, 18, 5627. [Google Scholar]
  52. Morris, L.M.; Smith, S.; Davis, J.; Null, D.B. The prevalence of food security and insecurity among Illinois university students. J. Nutr. Educ. Behav. 2016, 48, 376–382. [Google Scholar]
  53. Hughes, R.; Serebryanikova, I.; Donaldson, K.; Leveritt, M. Student food insecurity: The skeleton in the university closet. Nutr. Diet. 2011, 68, 27–32. [Google Scholar] [CrossRef]
  54. Landry, M.J.; Gundersen, C.; Eicher-Miller, H.A. Food insecurity on college and university campuses: A context and rationale for solutions. J. Acad. Nutr. Diet. 2022, 122, 519–524. [Google Scholar]
  55. Richards, R.; Stokes, N.; Banna, J.; Cluskey, M.; Bergen, M.; Thomas, V.; Christensen, R. A comparison of experiences with factors related to food insecurity between college students who are food secure and food insecure: A qualitative study. J. Acad. Nutr. Diet. 2022, 123, 438–453. [Google Scholar] [CrossRef] [PubMed]
  56. Barry, M.R.; Sonneville, K.R.; Leung, C.W. Students with food insecurity are more likely to screen positive for an eating disorder at a large, public university in the Midwest. J. Acad. Nutr. Diet. 2021, 121, 1115–1124. [Google Scholar] [CrossRef] [PubMed]
  57. DeBate, R.; Himmelgreen, D.; Gupton, J.; Heuer, J.N. Food insecurity, well-being, and academic success among college students: Implications for post COVID-19 pandemic programming. Ecol. Food Nutr. 2021, 60, 564–579. [Google Scholar] [CrossRef]
  58. Murray, S.; Peterson, C.; Primo, C.; Elliott, C.; Otlowski, M.; Auckland, S.; Kent, K. Prevalence of food insecurity and satisfaction with on-campus food choices among Australian university students. Int. J. Sustain. High. Educ. 2021, 22, 731–746. [Google Scholar] [CrossRef]
  59. Haskett, M.E.; Majumder, S.; Kotter-Grühn, D.; Gutierrez, I. The role of university students’ wellness in links between homelessness, food insecurity, and academic success. J. Soc. Distress Homeless. 2021, 30, 59–65. [Google Scholar] [CrossRef]
  60. Hege, A.; Stephenson, T.; Pennell, M.; Revlett, B.; VanMeter, C.; Stahl, D.; Crosby, C. College food insecurity: Implications on student success and applications for future practice. J. Stud. Aff. Res. Pract. 2021, 58, 44–61. [Google Scholar] [CrossRef]
  61. Rajikan, R.; Shin, L.H.; Hamid, N.I.A.; Elias, S.M. Food insecurity, quality of life, and diet optimization of low income university students in Selangor, Malaysia. J. Gizi Dan Pangan 2019, 14, 107–116. [Google Scholar] [CrossRef]
  62. Ullevig, S.L.; Vasquez, L.L.; Ratcliffe, L.G.; Oswalt, S.B.; Lee, N.; Lobitz, C.A. Establishing a campus garden and food pantry to address food insecurity: Lessons learned. J. Am. Coll. Health 2021, 69, 684–688. [Google Scholar] [CrossRef]
  63. Diamond, K.K.; Stebleton, M.J.; delMas, R.C. Exploring the relationship between food insecurity and mental health in an undergraduate student population. J. Stud. Aff. Res. Pract. 2020, 57, 546–560. [Google Scholar] [CrossRef]
  64. Frank, L.B. Free food on campus! Using instructional technology to reduce university food waste and student food insecurity. J. Am. Coll. Health 2022, 70, 1959–1963. [Google Scholar] [CrossRef]
  65. Wood, J.L.; Harris, F., III. Experiences with “acute” food insecurity among college students. Educ. Res. 2018, 47, 142–145. [Google Scholar] [CrossRef]
  66. Davison, K.M.; Marshall-Fabien, G.L.; Tecson, A. Association of moderate and severe food insecurity with suicidal ideation in adults: National survey data from three Canadian provinces. Soc. Psychiatry Psychiatr. Epidemiol. 2015, 50, 963–972. [Google Scholar] [CrossRef] [PubMed]
  67. Chilton, M.; Knowles, M.; Rabinowich, J.; Arnold, K.T. The relationship between childhood adversity and food insecurity: ‘It’s like a bird nesting in your head’. Public Health Nutr. 2015, 18, 2643–2653. [Google Scholar] [CrossRef]
  68. Dinour, L.M.; Bergen, D.; Yeh, M.C. The food insecurity–obesity paradox: A review of the literature and the role food stamps may play. J. Am. Diet. Assoc. 2007, 107, 1952–1961. [Google Scholar] [CrossRef] [PubMed]
  69. Regan, E.P. Food insecurity among college students. Sociol. Compass 2020, 14, e12790. [Google Scholar] [CrossRef]
  70. Leung, C.W.; Epel, E.S.; Ritchie, L.D.; Crawford, P.B.; Laraia, B.A. Food insecurity is inversely associated with diet quality of lower-income adults. J. Acad. Nutr. Diet. 2014, 114, 1943–1953. [Google Scholar] [CrossRef] [PubMed]
  71. Cuy Castellanos, D.; Holcomb, J. Food insecurity, financial priority, and nutrition literacy of university students at a mid-size private university. J. Am. Coll. Health 2020, 68, 16–20. [Google Scholar] [CrossRef] [PubMed]
  72. Hanson, K.L.; Connor, L.M. Food insecurity and dietary quality in US adults and children: A systematic review. Am. J. Clin. Nutr. 2014, 100, 684–692. [Google Scholar] [CrossRef]
  73. Becker, C.B.; Middlemass, K.; Taylor, B.; Johnson, C.; Gomez, F. Food insecurity and eating disorder pathology. Int. J. Eat. Disord. 2017, 50, 1031–1040. [Google Scholar] [CrossRef]
  74. Pourmotabbed, A.; Moradi, S.; Babaei, A.; Ghavami, A.; Mohammadi, H.; Jalili, C.; Miraghajani, M. Food insecurity and mental health: A systematic review and meta-analysis. Public Health Nutr. 2020, 23, 1778–1790. [Google Scholar] [CrossRef]
  75. Connell, C.L.; Lofton, K.L.; Yadrick, K.; Rehner, T.A. Children’s experiences of food insecurity can assist in understanding its effect on their well-being. J. Nutr. 2005, 135, 1683–1690. [Google Scholar] [CrossRef]
  76. Heylen, E.; Panicker, S.T.; Chandy, S.; Steward, W.T.; Ekstrand, M.L. Food insecurity and its relation to psychological well-being among South Indian people living with HIV. AIDS Behav. 2015, 19, 1548–1558. [Google Scholar] [CrossRef]
  77. Jones, A.D. Food insecurity and mental health status: A global analysis of 149 countries. Am. J. Prev. Med. 2017, 53, 264–273. [Google Scholar] [CrossRef]
  78. Hamelin, A.M.; Habicht, J.P.; Beaudry, M. Food insecurity: Consequences for the household and broader social implications. J. Nutr. 1999, 129, 525S–528S. [Google Scholar] [CrossRef]
  79. Knol, L.L.; Robb, C.A.; McKinley, E.M.; Wood, M. Food insecurity, self-rated health, and obesity among college students. Am. J. Health Educ. 2017, 48, 248–255. [Google Scholar] [CrossRef]
  80. Laraia, B.A.; Siega-Riz, A.M.; Gundersen, C.; Dole, N. Psychosocial factors and socioeconomic indicators are associated with household food insecurity among pregnant women. J. Nutr. 2006, 136, 177–182. [Google Scholar] [CrossRef] [PubMed]
  81. Myers, C.A. Food insecurity and psychological distress: A review of the recent literature. Curr. Nutr. Rep. 2020, 9, 107–118. [Google Scholar] [CrossRef] [PubMed]
  82. Reeder, N.; Tapanee, P.; Persell, A.; Tolar-Peterson, T. Food insecurity, depression, and race: Correlations observed among college students at a university in the Southeastern United States. Int. J. Environ. Res. Public Health 2020, 17, 8268. [Google Scholar] [CrossRef] [PubMed]
  83. Whittle, H.J.; Sheira, L.A.; Wolfe, W.R.; Frongillo, E.A.; Palar, K.; Merenstein, D.; Weiser, S.D. Food insecurity is associated with anxiety, stress, and symptoms of posttraumatic stress disorder in a cohort of women with or at risk of HIV in the United States. J. Nutr. 2019, 149, 1393–1403. [Google Scholar] [CrossRef] [PubMed]
  84. Willis, D.E. Feeding inequality: Food insecurity, social status and college student health. Sociol. Health Illn. 2021, 43, 220–237. [Google Scholar] [CrossRef]
  85. Abu, B.A.; Tavarez, S.; Oldewage-Theron, W. University students suggest solutions to campus food insecurity: A mixed methods study. J. Hunger Environ. Nutr. 2023, 18, 96–111. [Google Scholar] [CrossRef]
  86. Ciciurkaite, G.; Brown, R.L. The link between food insecurity and psychological distress: The role of stress exposure and coping resources. J. Community Psychol. 2022, 50, 1626–1639. [Google Scholar] [CrossRef] [PubMed]
  87. Nagata, J.M.; Palar, K.; Gooding, H.C.; Garber, A.K.; Whittle, H.J.; Bibbins-Domingo, K.; Weiser, S.D. Food insecurity is associated with poorer mental health and sleep outcomes in young adults. J. Adolesc. Health 2019, 65, 805–811. [Google Scholar] [CrossRef] [PubMed]
  88. Bronte-Tinkew, J.; Zaslow, M.; Capps, R.; Horowitz, A.; McNamara, M. Food insecurity works through depression, parenting, and infant feeding to influence overweight and health in toddlers. J. Nutr. 2007, 137, 2160–2165. [Google Scholar] [CrossRef]
  89. Leung, C.W.; Laraia, B.A.; Feiner, C.; Solis, K.; Stewart, A.L.; Adler, N.E.; Epel, E.S. The psychological distress of Food Insecurity: A qualitative study of the emotional experiences of parents and their coping strategies. J. Acad. Nutr. Diet. 2022, 122, 1903–1910. [Google Scholar] [CrossRef]
  90. Weiser, S.D.; Palar, K.; Hatcher, A.M.; Young, S.; Frongillo, E.A.; Laraia, B. Food insecurity and health: A conceptual framework. In Food Insecurity and Public Health; CRC Press: Boca Raton, FL, USA, 2015; pp. 23–50. [Google Scholar]
  91. Barrett, C.B. Measuring food insecurity. Science 2010, 327, 825–828. [Google Scholar] [CrossRef]
  92. Gundersen, C.; Kreider, B.; Pepper, J. The economics of food insecurity in the United States. Appl. Econ. Perspect. Policy 2011, 33, 281–303. [Google Scholar] [CrossRef]
  93. United Nations, Department of Economic and Social Affairs. The Sustainable Development Goals: Report; UN: San Francisco, CA, USA, 2022. [Google Scholar]
  94. Hagedorn, R.L.; Pampalone, A.L.; Hood, L.B.; Yura, C.A.; Morrow, D.F.; Olfert, M.D. Higher education food insecurity toolkit development and feedback. J. Nutr. Educ. Behav. 2020, 52, 64–72. [Google Scholar] [CrossRef]
  95. Nikolaus, C.J.; An, R.; Ellison, B.; Nickols-Richardson, S.M. Food insecurity among college students in the United States: A scoping review. Adv. Nutr. 2020, 11, 327–348. [Google Scholar] [CrossRef]
  96. Seligman, H.K.; Berkowitz, S.A. Aligning programs and policies to support food security and public health goals in the United States. Ann. Rev. Public Health 2019, 40, 319–337. [Google Scholar] [CrossRef]
  97. White, S.S. Student food insecurity and the social equity pillar of campus sustainability. Int. J. Sustain. High. Educ. 2020, 21, 861–875. [Google Scholar] [CrossRef]
  98. Ryff, C.D. Happiness is everything, or is it? Explorations on the meaning of psychological well-being. J. Pers. Soc. Psychol. 1989, 57, 1069. [Google Scholar] [CrossRef]
  99. Han, J.S.; Lee, H.J. The relationship between eating out consumption propensity, dessert cafe satisfaction, psychological well-being and quality of Life. Culin. Sci. Hosp. Res. 2018, 24, 71–82. [Google Scholar]
  100. Ryff, C.D. Psychological well-being revisited: Advances in the science and practice of eudaimonia. Psychother. Psychosom. 2014, 83, 10–28. [Google Scholar] [CrossRef]
  101. Romano, K.A.; Ebener, D. Disparities in psychological well-being based on subjective and objective eating disorder recovery statuses, and recovery status concordance. Eat. Dis. 2019, 27, 82–99. [Google Scholar] [CrossRef]
  102. Tomba, E.; Offidani, E.; Tecuta, L.; Schumann, R.; Ballardini, D. Psychological well-being in out-patients with eating disorders: A controlled study. Int. J. Eat. Dis. 2014, 47, 252–258. [Google Scholar] [CrossRef]
  103. Lee, Y.; Kim, T.; Jung, H. Effects of university students’ perceived food literacy on ecological eating behavior towards sustainability. Sustainability 2022, 14, 5242. [Google Scholar] [CrossRef]
  104. Barnhart, W.R.; Hamilton, L.; Jordan, A.K.; Pratt, M.; Musher-Eizenman, D.R. The interaction of negative psychological well-being and picky eating in relation to disordered eating in undergraduate students. Eat. Behav. 2021, 40, 101476. [Google Scholar] [CrossRef]
  105. Chan, C.Y.; Chiu, C.Y. Disordered eating behaviors and psychological health during the COVID-19 pandemic. Psych. Health Med. 2022, 27, 249–256. [Google Scholar] [CrossRef]
  106. Bucchianeri, M.M.; Fernandes, N.; Loth, K.; Hannan, P.J.; Eisenberg, M.E.; Neumark-Sztainer, D. Body dissatisfaction: Do associations with disordered eating and psychological well-being differ across race/ethnicity in adolescent girls and boys? Cult. Divers. Ethn. Minor. Psychol. 2016, 22, 137. [Google Scholar] [CrossRef]
  107. Ickes, S.B.; Wu, M.; Mandel, M.P.; Roberts, A.C. Associations between social support, psychological well-being, decision making, empowerment, infant and young child feeding, and nutritional status in Ugandan children ages 0 to 24 months. Mat. Child. Nutr. 2018, 14, e12483. [Google Scholar] [CrossRef]
  108. Men, F.; Tarasuk, V. Food insecurity amid the COVID-19 pandemic: Food charity, government assistance, and employment. Can. Pub. Pol. 2021, 47, 202–230. [Google Scholar] [CrossRef]
  109. Polsky, J.Y.; Gilmour, H. Food insecurity and mental health during the COVID-19 pandemic. Health Rep. 2020, 31, 3–11. [Google Scholar]
  110. Men, F.; Elgar, F.J.; Tarasuk, V. Food insecurity is associated with mental health problems among Canadian youth. J. Epidemiol. Community Health 2021, 75, 741–748. [Google Scholar] [CrossRef] [PubMed]
  111. Bandura, A. Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychol. Rev. 1977, 84, 191–215. [Google Scholar] [CrossRef] [PubMed]
  112. Anderson, E.S.; Winett, R.A.; Wojcik, J.R. Self-regulation, self-efficacy, outcome expectations, and social support: Social cognitive theory and nutrition behavior. Ann. Behav. Med. 2007, 34, 304–312. [Google Scholar] [CrossRef] [PubMed]
  113. Bandura, A. Health promotion by social cognitive means. Health Educ. Behav. 2004, 31, 143–164. [Google Scholar] [CrossRef]
  114. Fitzgerald, A.; Heary, C.; Kelly, C.; Nixon, E.; Shevlin, M. Self-efficacy for healthy eating and peer support for unhealthy eating are associated with adolescents’ food intake patterns. Appetite 2013, 63, 48–58. [Google Scholar] [CrossRef]
  115. Stewart-Knox, B.; Rankin, A.; Bunting, B.; Frewer, L.; Celis-Morales, C.; Livingstone, K.; Fischer, A.R.; Poínhos, R.; Kuznesof, S.; Gibney, M.; et al. Self-efficacy, habit strength, health locus of control and response to the personalised nutrition Food4Me intervention study. Br. Food J. 2022, 124, 314–330. [Google Scholar] [CrossRef]
  116. Sol, B.G.; van der Graaf, Y.; van Petersen, R.; Visseren, F.L. The effect of self-efficacy on cardiovascular lifestyle. Eur. J. Card. Nurs. 2011, 10, 180–186. [Google Scholar] [CrossRef]
  117. Anderson, E.S.; Winett, R.A.; Wojcik, J.R. Social-cognitive determinants of nutrition behavior among supermarket food shoppers: A structural equation analysis. Health Psychol. 2000, 19, 479. [Google Scholar] [CrossRef]
  118. Chu, Y.L.; Farmer, A.; Fung, C.; Kuhle, S.; Storey, K.E.; Veugelers, P.J. Involvement in home meal preparation is associated with food preference and self-efficacy among Canadian children. Public Health Nutr. 2013, 16, 108–112. [Google Scholar] [CrossRef] [PubMed]
  119. Cunningham-Sabo, L.; Lohse, B. Cooking with Kids positively affects fourth graders’ vegetable preferences and attitudes and self-efficacy for food and cooking. Child. Obes. 2013, 9, 549–556. [Google Scholar] [CrossRef] [PubMed]
  120. Saksvig, B.I.; Gittelsohn, J.; Harris, S.B.; Hanley, A.J.; Valente, T.W.; Zinman, B. A pilot school-based healthy eating and physical activity intervention improves diet, food knowledge, and self-efficacy for native Canadian children. J. Nutr. 2015, 135, 2392–2398. [Google Scholar] [CrossRef] [PubMed]
  121. Shannon, B.; Bagby, R.; Wang, M.Q.; Trenkner, L. Self-efficacy: A contributor to the explanation of eating behavior. Health Educ. Res. 1990, 5, 395–407. [Google Scholar] [CrossRef]
  122. Jiao, W.; Liu, M.T.; Schulz, P.J.; Chang, A. Impacts of self-efficacy on food and dietary choices during the first COVID-19 lockdown in China. Foods 2022, 11, 2668. [Google Scholar] [CrossRef]
  123. Muturi, N.W.; Kidd, T.; Khan, T.; Kattelmann, K.; Zies, S.; Lindshield, E.; Adhikari, K. An examination of factors associated with self-efficacy for food choice and healthy eating among low-income adolescents in three US states. Front. Commun. 2016, 1, 6. [Google Scholar] [CrossRef]
  124. Diener, E.; Diener, M. Cross-cultural correlates of life satisfaction and self-esteem. J. Pers. Sociol. Psychol. 1995, 68, 653. [Google Scholar] [CrossRef]
  125. Proctor, C.L.; Linley, P.A.; Maltby, J. Youth life satisfaction: A review of the literature. J. Happiness Stud. 2009, 10, 583–630. [Google Scholar] [CrossRef]
  126. Diener, E.; Suh, E.M.; Lucas, R.E.; Smith, H.L. Subjective well-being: Three decades of progress. Psychol. Bull. 1999, 125, 276. [Google Scholar] [CrossRef]
  127. Gilman, R.; Huebner, S. A review of life satisfaction research with children and adolescents. Sch. Psychol. Quar. 2003, 18, 192. [Google Scholar] [CrossRef]
  128. Dumludag, D. Consumption and life satisfaction at different levels of economic development. Int. Rev. Econ. 2005, 62, 163–182. [Google Scholar] [CrossRef]
  129. Ferguson, C.J.; Muñoz, M.E.; Garza, A.; Galindo, M. Concurrent and prospective analyses of peer, television and social media influences on body dissatisfaction, eating disorder symptoms and life satisfaction in adolescent girls. J. Youth Adolesc. 2014, 43, 1–14. [Google Scholar] [CrossRef]
  130. Lyubomirsky, S.; King, L.; Diener, E. The benefits of frequent positive affect: Does happiness lead to success? Psychol. Bull. 2005, 131, 803. [Google Scholar] [CrossRef] [PubMed]
  131. André, B.; Canhão, H.; Espnes, G.A.; Rodrigues, A.M.F.; Gregorio, M.J.; Nguyen, C.; Grønning, K. Is there an association between food patterns and life satisfaction among Norway’s inhabitants ages 65 years and older? Appetite 2017, 110, 108–115. [Google Scholar] [CrossRef] [PubMed]
  132. Schnettler, B.; Miranda-Zapata, E.; Grunert, K.G.; Lobos, G.; Lapo, M.; Hueche, C. Satisfaction with food-related life and life satisfaction: A triadic analysis in dual-earner families. Cad. Saúde Pública 2020, 36, e00090619. [Google Scholar] [CrossRef] [PubMed]
  133. Liu, R.; Grunert, K.G. Satisfaction with food-related life and beliefs about food health, safety, freshness and taste among the elderly in China: A segmentation analysis. Food Qual. Pref. 2020, 79, 103775. [Google Scholar] [CrossRef]
  134. Gacek, M. The sense of life satisfaction versus dietary choices of young women doing fitness for recreational purpose. Rocz. Panstw. Zaki. Hig. 2017, 68, 77–81. [Google Scholar]
  135. Hempel, C.; Roosen, J. The role of life satisfaction and locus of control in changing purchase intentions for organic and local food during the pandemic. Food Qual. Pref. 2022, 96, 104430. [Google Scholar] [CrossRef]
  136. Selvamani, Y.; Arokiasamy, P.; Chaudhary, M. Association between food insecurity and quality of life among older adults (60+) in six low and middle-income countries. Arch. Gerontol. Geriatr. 2023, 113, 105079. [Google Scholar] [CrossRef]
  137. Holm, L.; Nielsen, A.L.; Lund, T.B. Adapting to financial pressure on household food budgets in Denmark: Associations with life satisfaction and dietary health. Acta Sociol. 2020, 63, 191–208. [Google Scholar] [CrossRef]
  138. Heflin, C.M.; Siefert, K.; Williams, D.R. Food insufficiency and women’s mental health: Findings from a 3-year panel of welfare recipients. Soc. Sci. Med. 2005, 61, 1971–1982. [Google Scholar] [CrossRef] [PubMed]
  139. Jessiman-Perreault, G.; McIntyre, L. The household food insecurity gradient and potential reductions in adverse population mental health outcomes in Canadian adults. SSM-Popul. Health 2017, 3, 464–472. [Google Scholar] [CrossRef]
  140. Bruening, M.; Van Woerden, I.; Todd, M.; Laska, M.N. Hungry to learn: The prevalence and effects of food insecurity on health behaviors and outcomes over time among a diverse sample of university freshmen. Int. J. Behav. Nutr. Phys. Act. 2018, 15, 9. [Google Scholar] [CrossRef] [PubMed]
  141. Davidson, A.R.; Morrell, J.S. Food insecurity prevalence among university students in New Hampshire. J. Hunger Environ. Nutr. 2020, 15, 118–127. [Google Scholar] [CrossRef]
  142. Whatnall, M.C.; Hutchesson, M.J.; Patterson, A.J. Predictors of food insecurity among Australian university students: A cross-sectional study. Int. J. Environ. Res. Public Health 2020, 17, 60. [Google Scholar] [CrossRef]
  143. Conner, T.S.; Brookie, K.L.; Richardson, A.C.; Polak, M.A. On carrots and curiosity: Eating fruit and vegetables is associated with greater flourishing in daily life. Br. J. Health Psychol. 2015, 20, 413–427. [Google Scholar] [CrossRef]
  144. Chung, H.K.; Kim, O.Y.; Kwak, S.Y.; Cho, Y.; Lee, K.W.; Shin, M.J. Household food insecurity is associated with adverse mental health indicators and lower quality of life among Koreans: Results from the Korea National Health and Nutrition Examination Survey 2012–2013. Nutrients 2016, 8, 819. [Google Scholar] [CrossRef]
  145. Grunert, K.G.; Dean, M.; Raats, M.M.; Nielsen, N.A.; Lumbers, M. A measure of satisfaction with food-related life. Appetite 2007, 49, 486–493. [Google Scholar] [CrossRef]
  146. Magallares, A.; Jauregui-Lobera, I.; Gamiz-Jimenez, N.; Santed, M.A. Subjective well-being in a sample of women with eating disorders. Psychol. Rec. 2014, 64, 769–776. [Google Scholar] [CrossRef]
  147. Berman, E.S. The relationship between eating self-efficacy and eating disorder symptoms in a non-clinical sample. Eat. Behav. 2006, 7, 79–90. [Google Scholar] [CrossRef] [PubMed]
  148. Oishi, S.; Diener, E.; Lucas, R.E.; Suh, E.M. Cross-cultural variations in predictors of life satisfaction: Perspectives from needs and values. In Culture and Well-Being: The Collected Works of Ed Diener; Springer: Dordrecht, The Netherlands, 2009; pp. 109–127. [Google Scholar]
  149. Proctor, C.; Linley, P.A. Life satisfaction in youth. In Increasing Psychological Well-Being in Clinical and Educational Settings: Interventions and Cultural Contexts; Springer Science + Business Media: Dordrecht, The Netherlands, 2014; pp. 199–215. [Google Scholar]
  150. Becerra, M.B.; Becerra, B.J. Psychological distress among college students: Role of food insecurity and other social determinants of mental health. Int. J. Environ. Res. Public Health 2020, 17, 4118. [Google Scholar] [CrossRef] [PubMed]
  151. Brislin, R.W. Translation and content analysis of oral and written materials. In Handbook of Cross-Cultural Psychology: Methodology; Allyn and Bacon: Boston, MA, USA, 1980; pp. 389–444. [Google Scholar]
  152. Johnson, K.; Drew, C.; Auerswald, C. Structural violence and food insecurity in the lives of formerly homeless young adults living in permanent supportive housing. J. Youth Stud. 2020, 23, 1249–1272. [Google Scholar] [CrossRef]
  153. Schwarzer, R.; Jerusalem, M. Generalized self-efficacy scale. In Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs; Weinman, J., Wright, S., Johnston, M., Eds.; NFER-NELSON: Windsor, UK, 1995; pp. 35–37. [Google Scholar]
  154. Deci, E.L.; Ryan, R.M. Facilitating optimal motivation and psychological well-being across life’s domains. Can. Psychol. 2008, 49, 14–23. [Google Scholar] [CrossRef]
  155. Huebner, E.S. Research on assessment of life satisfaction of children and adolescents. Soc. Indic. Res. 2004, 66, 3–33. [Google Scholar] [CrossRef]
  156. Diener, E.D.; Emmons, R.A.; Larsen, R.J.; Griffin, S. The satisfaction with life scale. J. Pers. Assess. 1985, 49, 71–75. [Google Scholar] [CrossRef]
  157. Anderson, J.C.; Gerbing, D.W. Structural equation modeling in practice: A review and recommended two-step approach. Psychol. Bull. 1998, 103, 411–423. [Google Scholar] [CrossRef]
  158. Bagozzi, R.P.; Yi, Y. On the evaluation of structural equation models. J. Acad. Mark. Sci. 1988, 16, 74–94. [Google Scholar] [CrossRef]
  159. Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
  160. Hsiao, Y.Y.; Lai, M.H. The impact of partial measurement invariance on testing moderation for single and multi-level data. Front. Psychol. 2018, 9, 740. [Google Scholar] [CrossRef]
  161. Abu, B.; Oldewage-Theron, W. Food insecurity among college students in West Texas. Br. Food J. 2019, 121, 738–754. [Google Scholar] [CrossRef]
  162. Clench-Aas, J.; Nes, R.B.; Dalgard, O.S.; Aarø, L.E. Dimensionality and measurement invariance in the Satisfaction with Life Scale in Norway. Qual. Life Res. 2011, 20, 1307–1317. [Google Scholar] [CrossRef] [PubMed]
  163. Appleton, K.M.; McGowan, L. The relationship between restrained eating and poor psychological health is moderated by pleasure normally associated with eating. Eat. Behav. 2006, 7, 342–347. [Google Scholar] [CrossRef] [PubMed]
  164. Boehm, J.K.; Kubzansky, L.D. The heart’s content: The association between positive psychological well-being and cardiovascular health. Psychol. Bull. 2012, 138, 655. [Google Scholar] [CrossRef] [PubMed]
  165. Nurulhudha, M.J.; Norhasmah, S.; Siti, N.A.A.; Zainal, B. Financial problems associated with food insecurity among public university students in Peninsular Malaysia. Malays. J. Nutr. 2020, 26, 411–423. [Google Scholar]
Figure 1. Research model.
Figure 1. Research model.
Foods 12 03429 g001
Table 1. Confirmatory factor analysis and reliability analysis.
Table 1. Confirmatory factor analysis and reliability analysis.
Construct
(Cronbach’s Alpha)
Standardized Estimatet-ValueCCR aAVE b
Food hardship
(0.870)
0.9030.531
    FH10.713fixed
    FH20.74615.120 ***
    FH30.76915.537 ***
    FH40.74415.077 ***
    FH50.67413.726 ***
    FH60.72514.717 ***
Psychological well-being
(0.886)
0.8760.610
    PW10.783fixed
    PW20.72816.920 ***
    PW30.76017.820 ***
    PW40.82819.816 ***
    PW50.80319.084 ***
Self-efficacy
(0.918)
0.8710.738
    SE10.881fixed
    SE20.84524.908 ***
    SE30.84925.118 ***
    SE40.86225.831 ***
Life satisfaction
(0.926)
0.8660.808
    LS10.940fixed
    LS20.82627.041 ***
    LS30.92835.956 ***
Note: a CCR = composite construct reliability; b AVE = average variance extracted; Standardized estimate = β-value; χ2 = 497.979 (df = 129) p < 0.001; χ2/df = 3.860; Goodness of Fit Index (GFI) = 0.894; Tucker–Lewis Index (TLI) = 0.929; Comparative Fit Index (CFI) = 0.940; Incremental Fit Index (IFI) = 0.940; Root Square Error of Approximation (RMSEA) = 0.076; RMR = 0.054; *** p < 0.001.
Table 2. Means, standard deviations, and correlation analyses.
Table 2. Means, standard deviations, and correlation analyses.
Construct12345Mean ± SD a
1. Gender1 1.68 ± 0.468
2. Age−0.1391 22.52 ± 2.116
3. Food hardship−0.024−0.0641 4.67 ± 0.661
4. Psychological well-being−0.008−0.110 *−0.118 **1 5.06 ± 0.993
5. Self-efficacy−0.059−0.023−0.127 **0.702 **14.73 ± 1.154
6. Life satisfaction−0.065−0.045−0.104 *0.693 **0.592 **4.43 ± 1.298
Note: a SD = Standard Deviation; All variables were measured on a 7-point Likert scale from 1 (strongly disagree) to 7 (strongly agree), * p < 0.01; ** p < 0.05.
Table 3. Structural parameter estimates.
Table 3. Structural parameter estimates.
Hypothesized Path
(Stated as Alternative Hypothesis)
Standardized Path Coefficientst-ValueResults
H1: Food hardship → Psychological well-being−0.129−2.476 *Accepted
H2: Food hardship → Self-efficacy−0.144−2.814 **Accepted
H3: Food hardship → Life satisfaction−0.029−0.085Rejected
H4: Psychological well-being → Life satisfaction0.7159.566 ***Accepted
H5: Self-efficacy → Life satisfaction0.0801.189Rejected
Goodness-of-fit statisticsχ2(127) = 372.917 (p < 0.001)
χ2/df = 2.936
GFI = 0.924
IFI = 0.960
CFI = 0.960
RMR = 0.048
RMSEA = 0.063
Note: * p < 0.05, ** p <0.01, *** p < 0.001; GFI = Goodness of Fit Index; NFI = Normed Fit Index; CFI = Comparative Fit Index; RMSEA = Root Mean Square Error of Approximation.
Table 4. Moderating effects on university students’ gender.
Table 4. Moderating effects on university students’ gender.
Hypothesized PathMale (n = 159)Female (n = 332)Constrained
Model χ2
(df = 255)
∆χ2
(df = 1)
Standardized Coefficientst-ValueStandardized Coefficientst-Value
H1: Food hardship → Psychological well-being−0.307−3.347 ***−0.033−0.512 ns522.2416.53 *
H2: Food hardship → Self-efficacy−0.314−3.506 ***−0.059−0.955 ns520.3824.68 *
H3: Food hardship → Life satisfaction−0.063−1.051 ns−0.007−0.163 ns516.2160.51 ns
H4: Psychological well-being → Life satisfaction0.4753.889 ***0.8128.806 ***522.9247.22 *
H5: Self-efficacy → Life satisfaction0.3452.909 **−0.030−0.376 ns522.3736.67 *
Note: Unconstrained model χ2 = 515.702; df = 254; GFI = 0.898, CFI = 0.958; AIC (Akaike Information Criterion) = 691.702; * p < 0.05, ** p < 0.01, *** p < 0.001, ns—not significant.
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Lee, Y.; Yoon, H.; Kim, T.; Jung, H. Food Insecurity during the Pandemic in South Korea: The Effects of University Students’ Perceived Food Insecurity on Psychological Well-Being, Self-Efficacy, and Life Satisfaction. Foods 2023, 12, 3429. https://doi.org/10.3390/foods12183429

AMA Style

Lee Y, Yoon H, Kim T, Jung H. Food Insecurity during the Pandemic in South Korea: The Effects of University Students’ Perceived Food Insecurity on Psychological Well-Being, Self-Efficacy, and Life Satisfaction. Foods. 2023; 12(18):3429. https://doi.org/10.3390/foods12183429

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Lee, Yoojin, Hyehyun Yoon, Taehee Kim, and Hyosun Jung. 2023. "Food Insecurity during the Pandemic in South Korea: The Effects of University Students’ Perceived Food Insecurity on Psychological Well-Being, Self-Efficacy, and Life Satisfaction" Foods 12, no. 18: 3429. https://doi.org/10.3390/foods12183429

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