Next Article in Journal
Injury as a Result of Children and Adolescent Labor—An Association with Ethnicity and Peripherality: A Retrospective Cohort Study Based on the Israeli Trauma Registry
Previous Article in Journal
Big Five Personality Traits and Compulsive Buying: The Mediating Role of Self-Esteem
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Time Balance and Family Functioning: The Role of Time Perspective in the Cohesion and Adaptability of Families with Adolescents

by
Cristián Oyanadel
1,2,*,
Frank C. Worrell
2,
Jorge Pinto-Vigueras
1,
Sara Betancur
1,
Tamara Véliz Tapia
1,
Marisol Au-Castro
1,
Génesis Peña-Reyes
1,
Melissa González-Loyola
1 and
Wenceslao Peñate
3
1
Department of Psychology, Universidad de Concepción, Concepcion 4030000, Chile
2
Berkeley School of Education, University of California, Berkeley, CA 94720-1670, USA
3
Department of Clinical Psychology, Psychobiology and Methodology, Universidad de La Laguna, 38200 La Laguna, Spain
*
Author to whom correspondence should be addressed.
Eur. J. Investig. Health Psychol. Educ. 2024, 14(1), 117-132; https://doi.org/10.3390/ejihpe14010008
Submission received: 25 October 2023 / Revised: 26 December 2023 / Accepted: 28 December 2023 / Published: 29 December 2023

Abstract

:
Family functioning, understood as cohesion and adaptability, is critical in families with adolescent children, given the changes that this stage implies at the family level. Time perspective is one variable that can facilitate better family functioning through the way people give meaning to the process they live. In this study, we examined the relationship between family functioning and the time perspective of adolescent children’s parents. The FACES IV and ZTPI were administered to 276 parents of adolescents. Regression analyses indicated that the past positive, past negative, and future scores predicted family cohesion and adaptability, explaining at least 20% of the variance. Balanced families, with greater cohesion and adaptability, presented a higher level of past positive and future-oriented temporal perspectives, compared to unbalanced families, which presented a greater orientation to the past negative and deviated from the balanced temporal profile. The importance of considering the inter-relationship between family functioning and time perspective was discussed, considering its impact on the health and well-being of families with adolescents.

1. Introduction

Family functioning is defined as the ability of a family to meet the different needs it faces throughout the family life cycle [1] (Ortíz-Sánchez et al., 2023), and it is based on what [2] called the circumplex model of family systems. In this model, family functioning consists of three elements: family cohesion, referring to the degree to which family members interact or connect emotionally with each other; family adaptability, linked to the ability of a family to adapt to new changes as children progress through developmental stages; and family communication, understood as the communicative interaction that family members have with each other.

1.1. Family Functioning

To operationalize these elements, Olson (2014) [3] proposed two balanced and four unbalanced scales regarding family functioning. The two balanced scales are the cohesion scale, which assesses the emotional bond that family members have with each other, and the adaptability scale, which assesses the quality and ways in which leadership and organization are manifested in the family, in addition to how roles, rules, and negotiations are presented in relationships. The four unbalanced scales include (a) attachment, understood as connection and dependence between family members; (b) detachment, understood as significant disconnection and independence between members of a family system; (c) rigidity, understood as the presence of high control in relationships, with fixed roles and rules within the family; and (d) chaos, referring to the lack of leadership and order, with hasty decisions, and roles that are usually diffuse and interchangeable within the family and its relationships.
Family functioning has been studied in different age groups and has been related to different aspects of mental health. For example, family functioning has been found to be negatively related to depression [4,5,6], compulsive eating behaviors [7,8], and the quality of family attachment [9] and negatively related with the occurrence of suicidal ideation in adolescents [1,10,11,12]. In contrast, family functioning is positively related to medical treatment adherence [13], emotional expression [14,15], satisfaction and perceived well-being [16], and happiness [17]. Additionally, family functioning has been found to influence the appearance of behavioral problems in children [18,19], and, in addition, families with a member with autism spectrum disorder (ASD) present greater problems in their family functioning [20]. In contrast, family functioning is a relevant aspect to consider in order to improve the quality of life of caregivers [21].
The circumplex model of family functioning suggests that balanced families function better than unbalanced families [22,23]. Balanced families show low problematic functioning and are capable of facing stressful situations and managing tensions among their members, whereas unbalanced families report greater problems in terms of functioning, lack of strength, and protective factors [24]. Despite this general pattern, Crone and Fuligni (2020) [25] noted that it is normative for family functioning to fluctuate in certain life situations. For example, in the case of families with adolescents, family functioning fluctuates between balanced and unbalanced as children transition from childhood to adulthood.
Adolescence involves biological changes, such as physical changes or brain maturity [26], and psychological and social changes, which involve the incorporation of the adolescent into society through social responsibility, the establishment of personal goals, the fulfillment of cultural milestones (such as the formation of a couple), and the development of one’s own identity [27]. Therefore, parents must make family rules more flexible to promote independent decision making in their children, which allows them to prepare to live in society.

1.2. Family Functioning and Time Perspective

One aspect that may contribute to the understanding of functioning difficulties in families with adolescents is the time perspective, an unconscious process in which life experiences are attributed to time frames, which people use to make sense of their experiences [28]. The time perspective incorporates awareness of past and future events, which are influenced by cognitive (beliefs), emotional (affect associated with events), and social (cultural elements) aspects learned during the primary socialization process [29,30,31]. The time perspective tends to be considered as a stable element in human beings, as a personality trait, shaped by culture and interaction with the environment, such as religion, family, and personal values, generating a bias or inclination toward one of the time perspectives, which becomes the dominant perspective through which events are interpreted. For example, changes in the family cycle such as traumas, changes in religion, emigrations, or deaths, to name a few changes, impact the time perspective of family members, making them more future-oriented or more hopeless [29,31,32].
Zimbardo and Boyd (1999, 2009) [28,31] proposed five temporal dimensions: (a) past negative (PN), related to a negative attitude toward past events; (b) past positive (PP), which is related to a positive attitude toward past events; (c) present hedonistic (PH), defined as the orientation toward pleasure and enjoyment of what is experienced in the present; (d) present fatalistic (PF), defined as pessimism and hopelessness due to the events being experienced; and (e) future (F), understood as the attitude of projecting oneself and seeking future goals. Based on this model, the authors constructed the Zimbardo Time Perspective Inventory (ZTPI), which assesses these five temporal orientations.
ZTPI scores can be used to calculate a balanced temporal profile (BTP; [31]) and a negative temporal profile (NTP; [33]). A balanced temporal profile includes a high positive past score, a moderate score on the future and hedonistic present scales, and a low score on the negative past and fatalistic present scales [31,33], and this profile is considered optimal for well-being and health. A deviation from the balanced temporal profile (DBTP) can negatively affect health, well-being, affection, happiness, work success, and interpersonal relationships [30,31,34]. A negative temporal profile includes a low positive past score, a moderate score on the future and hedonistic present scales, and a high score on the negative past and fatalistic present scales [33]. Unlike with the DBTP, a deviation from the negative temporal profile (DNTP) is positively associated with perceived well-being as well as health [35].
Different time perspectives, as well as BTP and NTP, have been linked to different mental health variables. For example, perceived well-being has been positively associated with a positive past orientation, a future orientation, and a balanced time profile, whereas it has been negatively related to past negative and present fatalistic orientations [36,37,38,39,40]. Similarly, mental health and satisfaction with life have been positively related to a balanced time perspective [41,42,43,44]. It has also been observed how a present- and future-oriented perspective is positively related to higher self-esteem, whereas a greater orientation to the past is associated with lower levels of self-esteem [45]. In contrast, evidence has also demonstrated the mediating and predictive role of time perspective in emotional regulation [46], perceived well-being [47,48], perceived stress [49], decision making [50], depressive symptomatology [51], and suicide [52,53,54].
There is also evidence indicating that family characteristics and time perspective play an important role in the development of healthy and unhealthy behaviors in adolescents and emerging adults. Lin (2023) [55] linked time perspective with parenting and gratitude perceived by young adults. This researcher found that young adults who had high positive past and low negative past scores were more grateful to parents who were more affectionate, while young adults who were more oriented to the negative past were less grateful. Lin concluded that time perspective was a partial mediator of the association between parental care and gratitude. Stolarski et al. (2021) [56] studied how high family cohesion allowed adolescents to value, to a greater extent, the positive events that occurred throughout their lives, thus developing adaptive and healthy time perspectives, while adolescents in families with high family conflict developed less healthy temporal perspectives. In the case of the DBTP, the evidence indicates that students who report low acceptance within their family have higher DBTP scores compared to those who report higher levels of family acceptance, with the DBTP also being a moderator between school burnout and the development of depressive symptoms [57].
These studies notwithstanding, there is still limited evidence about the relationship between time perspective and family functioning. Specifically, cohesion and adaptability can be key in helping a family cope with its adolescent members and in the generation of healthy temporal perspectives [56]. Thus, time perspective together with family functioning can be relevant antecedents to consider in the development of more precise intervention strategies in the school and health contexts, in addition to the development of appropriate parental tools for this developmental period.
Therefore, the main objective of this research was to examine the association between family functioning and time perspective in parents of adolescent children. The specific objectives to be answered were how to (a) assess the relationships between family functioning and the temporal profiles of fathers and mothers of adolescent children; (b) evaluate the role of family cohesion in the time perspective of fathers and mothers of adolescent children; (c) examine the role of family adaptability in the time perspective of fathers and mothers of adolescent children; and (d) examine the role of time perspective variables in relation to the type of family functioning.

2. Materials and Methods

2.1. Design

A cross-sectional observational design was used, in which the dimensions of family cohesion and adaptability were quantitatively related to the different temporal perspectives postulated by Zimbardo and Boyd (1999) [28], which include negative past, past positive, present hedonistic, present fatalistic, and future. In addition, the relationship of family cohesion and adaptability to the deviation from the balanced and negative temporal profiles was assessed.

2.2. Participants

Using a non-probabilistic convenience sample, data were collected from 276 fathers and mothers of adolescent children attending school. The inclusion criteria were (a) being a father or mother and (b) having an adolescent child aged 14 to 17 years studying between the first and fourth years of high school who lived with their parents. La media de edad de los hijos fue de 15.42 años (SD = 1.15). Table 1 presents the sociodemographic characteristics of the sample, collected using a sociodemographic data sheet.

2.3. Instruments

Three evaluation instruments were used: a questionnaire to collect sociodemographic data, the Adaptability and Family Cohesion Evaluation Scale IV, and the Zimbardo Time Perspective Inventory. Sociodemographic data were collected at the beginning of the evaluation using a questionnaire. Questions were related to age, sex, marital status, and level of schooling of the participating fathers and mothers.
Family functioning was assessed with the Family Adaptability and Cohesion Assessment Scale IV (FACES IV, [58]). This instrument consists of 42 items that are answered on a Likert-type scale from 1 to 5, where 1 means completely disagree and 5 means completely agree [59]. As previously mentioned, FACES IV has six subscales that evaluate family functioning: two scales assessing balanced functioning (cohesion and adaptability) and four scales assessing unbalanced functioning (attachment, detachment, rigidity, and chaos; [3]). Only the balanced subscales were used in this study. Since scores on FACES IV have not been validated for the Chilean population, a Spanish version by Martínez-Pampliega et al. (2017) [59], adapted through cognitive interviews with parents or caregivers of Chilean adolescents, was used. In this study, the internal consistency was estimated with McDonald’s Omega coefficient, according to Kalkbrenner’s (2023) [60] suggestions, which were 0.72 for cohesion scores and 0.78 for adaptability scores.
Time perspective was measured using the ZTPI [28]. This scale is made up of 56 items divided into five subscales—past positive, past negative, present hedonistic, present fatalistic, and future—that assess how characteristic a statement is for the person, on a 5-point Likert-type scale, with 1 representing strongly disagree and 5 representing strongly agree. In the Chilean validation study, Cronbach’s alpha reliability estimates for the subscales scores were as follows: α = 0.59 for past positive, α = 0.80 for past negative, α = 0.79 for present hedonistic, α = 0.74 for present fatalistic, and α = 0.80 for future [61]. In this study, using McDonald’s omega, reliability estimates for ZPTI scores were as follows: ω = 0.79 for negative past, ω = 0.60 for positive past, ω = 0.78 for hedonistic present, ω = 0.66 for fatalistic present, and ω = 0.65 for future.

2.4. Procedure

Prior to data collection, cognitive interviews were conducted with 10 fathers or mothers of adolescent children, given that the FACES IV is not validated in Chile. A panel of experts suggested modifications, including precision of the prompt toward the nuclear family and replacement of some words with synonyms better known to the target population. Subsequently, the mothers and fathers of adolescents who were the study’s participants were informed in parent meetings about the objectives of the research and signed an informed consent. The data collection process lasted about 8 weeks. The collection strategy was through access via the schools to the parents’ meetings where the instruments were answered.

2.5. Data Analysis

For data analysis, the DBTP [48] and DNTP [33] coefficients were calculated. The DBTP was calculated according to the following formula:
DBTP = ( o P N e P N ) 2 + ( o P P e P P ) 2 + ( o P F e F P ) 2 + ( o P H e P H ) 2 + ( o F e F ) 2
in which (o) corresponds to the optimal score, and (e) corresponds to the score observed in the subjects. The optimal values for the five time perspectives are oPN = 1.95; oPP = 4.60; oPF= 1.50; oPH = 3.90; and oF = 4.00. In the case of the DNTP, the proposed formula is
DNTP = ( n P N e P N ) 2 + ( n P P e P P ) 2 + ( n P F e P F ) 2 + ( n P H e P H ) 2 + ( n F e F ) 2
in which (n) corresponds to the expected score, while (e) corresponds to the score observed in the subjects. The optimal scores in this case are nPN = 4.35; nPP = 2.80; nPF = 3.30; nPH = 2.65; and nF = 2.75. In both calculations, a result closer to 0 would indicate greater proximity to the balanced time profile or the negative time profile.
The Kolmogorov–Smirnov test was applied to determine the normality of the sample for family cohesion and adaptability, as well as the five time perspectives, the DBTP, and the DNTP. Since the data were not normally distributed, the Spearman correlation test was used to relate the family functioning variables to each of the time perspective variables, along with their deviations. Then, two stepwise multiple regressions were carried out, one with cohesion and the other with adaptability, with the objective of finding a model that would explain the predictive capacity of the different time perspective variables in the two main dimensions of family functioning.
Subsequently, using the percentile score conversion tables in the FACES IV manual [58], the level of each family was calculated based on its cohesion and adaptability. These analyses yielded three types of families for family cohesion—(a) very connected families, (b) connected families, and (c) somewhat connected families—and three types for family adaptability—(a) very adaptable families, (b) adaptable families, and (c) somewhat adaptable families. Once the levels were defined, the Kruskal–Wallis H test was used to compare the five temporal perspectives (positive past, negative past, hedonistic present, fatalistic present, and future) and the DBTP and DNTP of the sample with the different family types, based on cohesion and adaptability as independent variables. Additionally, the Bonferroni post hoc test was used to identify differences between families for family cohesion and adaptability.
Finally, integrating both dimensions of family functioning, the scores from the conversion table used for the previous analysis were used to form four family typologies: (a) dysfunctional, for families low in cohesion and adaptability; (b) adapted, for families with a high score on adaptability and a low score on cohesion; (c) cohesive, for families with a high score on cohesion but a low score on adaptability; (d) balanced, for families with high scores on cohesion and adaptability. The Kruskal–Wallis H with Bonferroni post hoc test was used to compare the four types of resulting families with the five dimensions of time perspective, together with the DBTP and DNTP. Cohen’s d was calculated for all group differences. All analyses were performed using the Statistical Package for the Social Sciences (SPSS) V.27.

3. Results

3.1. Correlations and Regressions

First, we examined the relationships between the levels of family cohesion and adaptability and the time perspective variables. Using the Spearman correlation test and a Bonferroni adjusted critical value of 0.005, the results indicated modest-to-moderate, positive, and statistically significant associations between cohesion scores and positive past, future, and DNTP scores and modest negative and statistically significant associations between cohesion scores and negative past, fatalistic present, and DBTP scores (see Table 2). Adaptability scores had modest-to-moderate, positive, and statistically significant relationships with positive past, future, and DNTP scores and a modest negative, statistically significant association with negative past scores.
Next, two stepwise multiple regression analyses were run to determine if the time perspective variables predicted family cohesion and adaptability. As the DBTP and DNTP are scores derived from the five ZPTI subscale scores, only the five subscale scores—positive past, negative past, hedonistic present, fatalistic present, and future—were used in these analyses. The results are summarized in Table 3 (predicting cohesion) and Table 4 (predicting adaptability).
The equation predicting cohesion was statistically significant: F(3, 272) = 34.40, p < 0.001, and R2 = 0.28. As can be seen in Table 3, three predictors were retained in the equation predicting cohesion. Past positive and future scores were positive predictors with interpretable effect sizes (i.e., β > 0.20; [62]), and past negative scores were a negative predictor with a small effect size. The equation predicting adaptability was also statistically significant (see Table 4): F(3, 272) = 22.47, p < 0.001, and R2 = 0.20. The same three predictors were retained in this equation with associations in the same direction, but only future had an interpretable effect size.

3.2. Differences among Family Types

3.2.1. Family Types Based on Cohesion

The first set of family types were based on cohesion scores using the percentiles established by Olson et al. (2006) [58]. For family types based on cohesion, 60.5% of the sample (n = 167) were categorized as very connected families, 27.9% (n = 77) as connected families, and 11.6% (n = 32) as somewhat connected families. The three types of connected families significantly differed on positive past, H(2) = 30.267, p ≤ 0.001; negative past, H(2) = 8.254, p = 0.016; and future, H(2) = 26.89, p ≤ 0.001 (see Table 5). The interpretation of group differences was based on effect sizes.
The results indicated that very connected families had meaningfully (i.e., d > 0.40; [62]) higher positive past scores than connected families (p = 0.001, d = 0.51) and somewhat connected families (p ≤ 0.001, d = 1.10), and connected families had meaningfully higher positive past scores than somewhat connected families (p = 0.007, d = 0.63). In contrast, somewhat connected families had meaningfully higher negative past scores compared to very connected families (p = 0.011, d = −0.55) and connected families (p = 0.058, d = −0.56). Lastly, very connected families had meaningfully higher future scores than connected families (p = 0.001, d = 0.54) and somewhat connected families (p ≤ 0.001, d = 0.96). Very connected and connected families did not meaningfully differ on negative past scores (d = −0.07), and the difference between connected families and somewhat connected families fell just short of a meaningful difference on future scores (d = 0.39).
Statistically significant differences were also found in the DBTP scores among the three types of connected families, H(2) = 28.536, p ≤ 0.001. Post hoc analyses indicated that somewhat connected families deviated more from the balanced temporal profile than connected families (p = 0.003, d = −0.95) and very connected families (p ≤ 0.001, d = −1.22). The difference in DBTP scores between connected families and very connected families was also statistically significant (p = 0.001) and just short of meaningful (d = 0.40; Ferguson, 2009). With regard to DNTP scores, statistically significant differences were also found between families according to their level of family cohesion, H(2) = 29.516, p ≤ 0.001, and all three differences were statistically significant and meaningful: very connected families and connected families (p = 0.003, d = 0.46); very connected families and somewhat connected families (p ≤ 0.001, d = 1.00); and connected families and somewhat connected families (p = 0.021, d = 0.61).

3.2.2. Family Types Based on Adaptability

With regard to family adaptability, 78.3% (n = 216) were categorized as very adaptable families, 19.5% (n = 54) as adaptable families, and only 2.2% (n = 6) as somewhat adaptable families [58]. Given the low frequency of somewhat adaptable families, we combined this group with the adaptable family group (21.7% of the sample; n = 60). We used the Mann–Whitney U test to compare the two family adaptability groups, and statistically significant differences were found between very adaptable and adaptable families on past positive, past negative, and future scores, as well as on DBTP and DNTP scores (see Table 6).
Very adaptable families had higher past positive (U = 4949.5, p = 0.005, d = 0.47) and future (U = 3872.5, p ≤ 0.001, d = 0.71) scores than adaptable families, and adaptable families had higher past negative scores than very adaptable families (U = 5098, p = 0.011, d = −0.40). The adaptable families deviated significantly more from the balanced temporal profile than the very adaptable families (U = 4855, p = 0.003, d = 0.40), whereas the very adaptable families were found to deviate more from the negative temporal profile than adaptable families (U = 4030, p ≤ 0.001, d = 0.69).

3.2.3. Family Types Based on Cohesion and Adaptability

The third set of family types were created using both the cohesion and adaptability scores. First, low cohesion and low adaptability groups were created for families scoring at the 33rd percentile or lower for each variable, and high cohesion and high adaptability groups were created for families scoring at the 67th percentile or higher. Then, four family types were formed: dysfunctional families (low in both cohesion and adaptability), adaptable families (low in cohesion and high in adaptability), cohesive families (high in cohesion and low in adaptability), and balanced families (high in both cohesion and adaptability). Table 7 presents the distribution of the sample in the four resulting family types.
The four family groups were compared on the five temporal perspective scales—that is, we included the two present-oriented scores as exploratory—and the two temporal perspective composites (i.e., DBTP and DNTP) using the Kruskal–Wallis test (see Table 8 for means and standard deviations). The indicated results presented statistically significant differences among family types on past positive (χ2(3) = 36.44, p < 0.001) and future scores (χ2(3) = 44.01, p < 0.001), as well as on the DBTP (χ2(3) = 24.16, p < 0.001) and DNTP composites (χ2(3) = 42.47, p < 0.001). Family types did not meet the criterion for a significant difference (p < 0.01) on past negative scores (χ2(3) = 8.97, p = 0.03) and did not significantly meet it on present hedonistic and present fatalistic scores. Nonetheless, given the small numbers of families classified as adaptable and cohesive, we used effect sizes to compare the families on the temporal perspective subscale scores and composites. In keeping with best practice, effect sizes (d ≥ 0.41; [62]) were used to examine differences in time perspective scores among family types.
The differences in the pattern of results are presented in Figure 1. As can be seen in the figure, balanced families typically had higher scores than dysfunctional families on positive time constructs and lower scores on negative time constructs, with adaptable and cohesive families falling in the middle. The meaningful differences among the family types are presented in the next paragraph.
With regard to positive past, all comparisons between families yielded meaningful differences (0.43 < d < 1.15), except for one: dysfunctional families did meaningfully differ from adapted families (d = −0.24). The largest difference was in favor of balanced families relative to dysfunctional families (d = 0.97) and adaptable families (d = 1.15). On negative past, dysfunctional families reported meaningfully higher scores than adaptable (d = −0.59), cohesive (d = −0.54), and balanced (d = −0.41) families, but the latter three groups’ scores did not meaningfully differ (0.05 < d < 0.11; see Figure 1). Although the statistical analysis indicated no statistically significant differences for hedonistic present scores, three comparisons yielded meaningful differences. Adaptable families reported meaningfully lower scores than the other three family types: dysfunctional (d = −0.44), cohesive (d = −0.59), and balanced (d = −0.53). There was one meaningful difference on fatalistic present scores: cohesive families reported lower scores than dysfunctional families (d = −0.67). With regard to future scores, four of the six comparisons yielded meaningful differences (0.55 < d < 1.20), with scores increasing from dysfunctional to adaptable to cohesive to balanced families. Adaptable and cohesive families had similar future scores (d = 0.10), and adaptable families fell just short of a meaningful difference from dysfunctional families (d = 0.40).
Meaningful differences were also found for the two composite scores. For DBTP scores, cohesive and balanced families (d = 0.08) and dysfunctional and adaptable families (d = 0.16) did not meaningfully differ; however, the other four comparisons yielded meaningful differences (−0.83 < d < −0.71), with cohesive and balanced families reporting lower DBTP scores than dysfunctional and adaptable families. In contrast, dysfunctional families reported meaningfully lower DNTP scores than adaptable (d = 0.79), cohesive (d = 1.04), and balanced (d = 1.21) families, and adaptable families also reported lower DNTP scores than balanced families (d = 0.41). However, adaptable and cohesive families (d = 0.17) and cohesive and balanced families (d = 0.24) did not meaningfully differ.

4. Discussion

In this study, we analyzed the pattern of relationships between the two dimensions of family functioning (cohesion and adaptability), on the one hand, and five time perspective scores and two time perspective composite scores, on the other hand, in parents with adolescent children. The first objective was to assess the associations between family functioning and the temporal scores of the fathers and mothers of adolescent children. The results indicated that cohesion and adaptability had statistically significant positive associations with positive past, future, and DNTP scores and had statistically significant negative associations with negative past scores. Cohesion also had negative associations with fatalistic present and DBTP scores. However, not all associations were significant or interpretable based on effect size considerations, e.g., the temporal dimensions of the present. There were not statistically or practically significant associations between family functioning scores and hedonistic present, and adaptability was also not related to fatalistic present. These findings were supported with a stepwise multiple regression, with only positive past, negative past, and future being retained as predictors of cohesion and adaptability scores, accounting for 28% and 20% of the variance in these two variables, respectively. Positive past and future were meaningful predictors of cohesion, and future was a meaningful predictor of adaptability.
The second and third objectives were to determine the unique role of family cohesion and adaptability, respectively, in the time perspective of fathers and mothers of adolescent children. Using effect sizes, the results showed meaningful differences between both dimensions with past and future tenses and temporal deviations. Generally, families with greater cohesion and adaptability reported higher scores on positive past, future, and the DNTP, while families with lower cohesion and adaptability reported higher scores on negative past and the DBTP. Finally, the fourth objective was to examine time perspective scores in relation to family typologies based on both cohesion and adaptability. In these analyses, families classified as balanced reported higher positive past, future, and DNTP scores and lower negative past and DBTP scores than families classified as dysfunctional. Families classified as cohesive and adaptable were similar to balanced families on temporal scores (e.g., negative past) or fell between balanced and dysfunctional families (e.g., on future and DNTP scores).

4.1. Family Functioning and Temporal Perspectives

The results in the current study can be looked at in two ways: on the one hand, the prediction of the levels of family cohesion and adaptability by time perspective and, on the other hand, the family typologies that are related to positive, negative, and balanced time perspectives. The correlational analyses suggest that positive past and future are the strongest predictors of family cohesion, a point that is confirmed by the regression analyses that control for covariation among the predictors, with positive past carrying more weight. With regard to adaptability, both the correlational and regression analyses showcase the future as the strongest predictor, with positive past playing a lesser role. Thus, the perception of positive interactions in the past promotes family cohesion in the present with this connection, with expectations about the future contributing less to current satisfactory emotional engagement [36,55,56]. In the case of family adaptability, the greatest weight is carried by positive expectations of the future. In this sense, adaptability to contextual circumstances takes the future into account, which may be especially important for parents with adolescent children due to the need for adequate accommodation and assimilation of the changes that occur at this time [57,63].
With regard to predicting levels of family cohesion and adaptability, the valuation of the present does not play as significant a role. This finding could mean that the functioning of parents of adolescent boys and girls is more dependent on what has happened (and what will happen) than on the current circumstances. In this sense, parents’ distance themselves from the present situation (good or bad) and prefer to make value judgments based on how the family has been relating and how they have previously adapted [36] Although previous research indicates that present temporal dimensions are negatively associated with different life processes [64], the failure of a present orientation to contribute to family cohesion or adaptability can also be a negative indicator, to the extent that it can mean a distancing from the immediate reality in favor of past and future events that cannot be managed in the same way [47]. Future research could determine the plausibility of these conjectures.
The contrasts among the four created family typologies also reveal contrasting patterns, with balanced functioning (i.e., high levels of cohesion and adaptability) being associated with more positive time perspectives: higher levels of positive past and future and a larger deviation from the negative profile, alongside a smaller deviation from the balanced profile. Additionally, three of the four family types—that is, adaptable, cohesive, and balanced—do not differ in their valuation of negative past, with the three groups reporting lower scores than dysfunctional families. The present time perspective scores also play a less important role in differentiating among the four groups. For example, with the exception of dysfunctional families reporting higher scores than cohesive families, the four family types do not differ in their scores on fatalistic present. Similarly, adaptable families report lower hedonistic present scores than the other three groups. Thus, the negative past and the present time perspectives may be less important to family functioning than the positive past and future time constructs.
Generally speaking, cohesive families are more similar to balanced families than adaptable families, who are more similar to dysfunctional families than the cohesive group. In analyzing the differences among the typologies, cohesive families differ from balanced families only by slightly lower positive past and future scores. However, adaptable families (high in adaptability and low in cohesion) have substantially lower scores than balanced families on both positive past and future as well as lower hedonistic present scores. This finding is supportive of the idea that it is the level of cohesion that has the greatest weight in producing the association between a balanced time perspective and good family functioning. Considering cohesion as the emotional bond for the family [3], previous results [46,64], show that the relationship between emotional regulation/dysregulation is directly associated with time perspective. In contrast, family functioning is also associated with better resource management to control emotional disturbances [6,12,15]. The connection between good family functioning and a balanced time perspective makes sense, at least in that both are conditions that favor better regulation of emotions, both in normal conditions and in psychopathological conditions (especially anxiety and depression). The mechanisms by which this connection is established remain to be elucidated.

4.2. Limitations and Implications

Among the main limitations of this study, the Family Adaptability and Cohesion Evaluation Scale IV (FACES IV) does not have validity studies in Chile, so the subscales were adapted for use in the Chilean population using cognitive interviews, which were specifically carried out for this study. In addition, the sample size was limited, and it was a convenience sample of parents available to participate in this study. Furthermore, the entire sample corresponded to the Chilean population and its cultural framework. Therefore, the generalization of the results obtained for the population should be observed considering both limitations. In contrast, the ZTPI positive past scale does not show good reliability, which shows a difficulty that can be remedied or complemented with the use of robust instruments such as the Adolescent and Adult Time Inventory-Time Attitudes (AATI-TA) for the measurement of these variables [65]. The parents attended parent meetings at school, which may make the sample biased toward families that are more committed to formal aspects of their children’s education, and, therefore, are better functioning. However, although a larger sample is required for the results to be more robust, the current findings provide preliminary indications in the Chilean context about the relationship between time perspective and family functioning.
In future studies, it would be interesting to compare these findings with data on family functioning and time perspective in families at other stages of the family life cycle, especially families with pre-adolescent children and families with children who are already in emerging adulthood. The use of mixed methods might also provide a better understanding of the processes between time perspective and family functioning. Studies with family dyads would be especially interesting for a more complete understanding of this relationship. Nonetheless, the results of this study suggest that the time perspective of parents of adolescent children predicts the perceived closeness between family members, as well as their ability to adapt to the passage of time. On a practical level, these findings may be useful for parent education or in interventions or family guidance processes in adolescence, including as components cohesion, the balanced temporal perspective, and the role in emotion regulation. In sum, the results support the idea of promoting a positive and balanced time perspective in families with adolescents.

5. Conclusions

In this study, we examined the relationship between family functioning, understood as family cohesion and adaptability, and time perspective, understood as orientation toward the past, present, and future. The obtained results indicated how past and future time perspectives predict the level at which fathers and mothers of adolescent children perceive their ties as a family and the ability to adapt to the different evolutionary changes in the life cycle. Families that are balanced in their functioning were also more balanced in their time perspective. From this point of view, taking time perspective in the functioning of families with adolescent children into consideration is relevant, due to the implications for the health and well-being of adolescents and their family group.

Author Contributions

Conceptualization, C.O., J.P.-V., S.B., T.V.T., M.A.-C. and G.P.-R.; data curation, S.B., T.V.T., M.A.-C. and G.P.-R.; funding acquisition, C.O. and F.C.W.; investigation, S.B., T.V.T., M.A.-C. and G.P.-R.; methodology, F.C.W., J.P.-V. and W.P.; project administration, C.O.; software, J.P.-V. and W.P.; supervision, C.O.; validation, M.G.-L.; writing—original draft, J.P.-V.; writing—review and editing, C.O., F.C.W., M.G.-L. and W.P. All authors have read and agreed to the published version of the manuscript.

Funding

The authors declare that they received financial support from the National Agency for Research and Development (ANID)/International Cooperation Program/project MEC80180087 and postdoctoral grant “Becas Chile” ID74220048 to C.O. and from ANID/Subdirectorate of Human Capital/master’s scholarship/2021-22211454 to J.P.-V. Ministry of Science, Technology, Knowledge, and Innovation, Chile.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of the Universidad de Concepción. This study was approved by the Ethics and Bioethics Committee of the Department of Psychology of the University of Concepción (ref. 20082018).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Please contact the corresponding author to get the data.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Ortiz-Sánchez, F.A.; Brambila-Tapia, A.J.L.; Cárdenas-Fujita, L.S.; Toledo-Lozano, C.G.; Samudio-Cruz, M.A.; Gómez-Díaz, B.; García, S.; Rodríguez-Arellano, M.E.; Zamora-González, E.O.; López-Hernández, L.B. Family Functioning and Suicide Attempts in Mexican Adolescents. Behav. Sci. 2023, 13, 120. [Google Scholar] [CrossRef]
  2. Olson, D. FACES IV and the circumplex model: Validation study. J. Marital. Fam. Ther. 2011, 37, 64–80. [Google Scholar] [CrossRef] [PubMed]
  3. Olson, D.H. Circumplex model of family Systems VIII: Family assessment and intervention. In Circumplex Model: Systemic Assessment and Treatment of Families; Olson, D.H., Russell, C.S., Sprenkle, D.H., Eds.; Routledge: Abingdon, UK, 2014; pp. 7–50. [Google Scholar]
  4. Huang, X.; Hu, N.; Yao, Z.; Peng, B. Family functioning and adolescent depression: A moderated mediation model of self-esteem and peer relationships. Front. Psychol. 2022, 13, 962147. [Google Scholar] [CrossRef] [PubMed]
  5. Li, M.; Li, L.; Wu, F.; Cao, Y.; Zhang, H.; Li, X.; Zou, J.; Guo, Z.; Kong, L. Perceived family adaptability and cohesion and depressive symptoms: A comparison of adolescents and parents during COVID-19 pandemic. J. Affect. Disord. 2021, 287, 255–260. [Google Scholar] [CrossRef] [PubMed]
  6. Zhang, C.; Zhang, Q.; Zhuang, H.; Xu, W. The reciprocal relationship between depression, social anxiety and aggression in Chinese adolescents: The moderating effects of family functioning. J. Affect. Disord. 2023, 329, 379–384. [Google Scholar] [CrossRef] [PubMed]
  7. Laghi, F.; Bianchi, D.; Pompili, S.; Lonigro, A.; Baiocco, R. Binge eating and binge drinking behaviors: The role of family functioning. Psychol. Health Med. 2021, 26, 408–420. [Google Scholar] [CrossRef] [PubMed]
  8. Lee, A.Y.; Reynolds, K.D.; Stacy, A.; Niu, Z.; Xie, B. Family functioning, moods, and binge eating among urban adolescents. J. Behav. Med. 2019, 42, 511–521. [Google Scholar] [CrossRef]
  9. Cócola, F. Apego, regulación emocional y functionamiento familiar en adultos con trastornos pr consume de cocaína Attachment, emotion regulation and family functioning in adults with cocaine use disorders. Rev. Psicopatol. Psicol. Clin. 2022, 27, 59–72. [Google Scholar] [CrossRef]
  10. Cong, C.W.; Ling, W.S.; Fitriana, M. Family functioning, coping strategy, and suicidal ideation among adolescents. J. Child Adolesc. Ment. Health 2020, 32, 131–140. [Google Scholar] [CrossRef]
  11. Marco-Sánchez, S.; Mayoral-Aragón, M.; Valencia-Agudo, F.; Roldán-Díaz, L.; Espliego-Felipe, A.; Delgado-Lacosta, C.; Hervás-Torres, G. Funcionamiento familiar en adolescentes en riesgo de suicidio con rasgos de personalidad límite: Un estudio exploratorio Family functioning in suicidal adolescents with borderline personality traits; An exploratory study. Rev. Psicol. Clínica Niños Adolesc. 2020, 7, 50–55. [Google Scholar] [CrossRef]
  12. Zhou, Y.; Hu, D.; Zhang, K.; Mao, J.; Teng, F.; Yu, T.; Xu, K.; Tan, R.; Ding, X.; Liu, Y. The mechanism of family adaptability and cohesion in suicidal ideation among Chinese cancer patients. J. Psychosoc. Oncol. 2020, 38, 612–626. [Google Scholar] [CrossRef] [PubMed]
  13. Psihogios, A.M.; Fellmeth, H.; A Schwartz, L.; Barakat, L.P. Family functioning and parental bonding during childhood in adults diagnosed with ADHD. J. Pediatr. Psychol. 2019, 44, 84–97. [Google Scholar] [CrossRef] [PubMed]
  14. Ángel-González, M.; Colunga-Rodríguez, C.; Vázquez-Juárez, C.L.; Colunga-Rodríguez, B.A.; Dávalos-Picazo, G.; Orozco-Solis, M.G.; Vázquez-Colunga, J.C. Family functioning and school connectivity in Mexican high school adolescents. Estud. Psicol. (Campinas) 2022, 39, 1–14. [Google Scholar] [CrossRef]
  15. Zhu, D.; Chen, Y.; Li, L.; Dunsmore, J.C. Family functioning, emotion socialization, and children’s social competence: Gender-specific effects in Chinese families. J. Child Fam. Stud. 2023, 32, 257–271. [Google Scholar] [CrossRef]
  16. Jozefiak, T.; Wallander, J.L. Perceived family functioning, adolescent psychopathology and quality of life in the general population: A 6-month follow-up study. Qual. Life Res. 2016, 25, 959–967. [Google Scholar] [CrossRef] [PubMed]
  17. Alarcón, R. Funcionamiento familiar y sus relaciones con la felicidad Family functioning and its relations with happiness. Rev. Peru. Psicol. Trab. Soc. 2017, 3, 61–74. [Google Scholar]
  18. De Souza, J.; Crepaldi, M.A. Problemas emocionales y comportamentales en los niños: Asociasión entre el funcionamiento familiar, la coparentalidad y la relación conyugal Emotional and behavioral problems of children: Association between family functioning, coparenting and marital relationship. Acta Colomb. Psicol. 2019, 22, 69–106. [Google Scholar] [CrossRef]
  19. Zeng, S.; Wang, Z.; Zhang, R.; Yang, X. The The longitudinal relationships between family functioning and children’s conduct problems: The moderating role of atten-tional control indexed by intraindividual response time variability. J. Psychopathol. Behav. Assess. 2022, 44, 862–874. [Google Scholar] [CrossRef]
  20. Godfrey, G.D.; Downes, N.; Cappe, E. A systematic review of family functioning in families of children on the Autism Spectrum. J. Autism Dev. Disord. 2023, 1–22. [Google Scholar] [CrossRef]
  21. Lei, X.; Kantor, J. Social support and family quality of life in Chinese families of children with autism spectrum disorder: The mediating role of family cohesion and adaptability. Int. J. Dev. Disabil. 2022, 68, 454–461. [Google Scholar] [CrossRef]
  22. Olson, D.H. Circumplex model of marital and family systems. J. Fam. Ther. 2000, 22, 144–167. [Google Scholar] [CrossRef]
  23. Rivero, N.; Martínez-Pampliega, A.; Olson, D.H. Spanish adaptation of the FACES IV questionnaire: Psychometric characteristics. Fam. J. 2010, 18, 288–296. [Google Scholar] [CrossRef]
  24. Olson, D.H.; Gorall, D.M. Faces IV and the Circumplex Model; Life Innovations: Agua Dulce, CA, USA, 2006. [Google Scholar]
  25. Crone, E.A.; Fuligni, A.J. Self and others in adolescence. Annu. Rev. Psychol. 2020, 71, 447–469. [Google Scholar] [CrossRef] [PubMed]
  26. Sawyer, S.M.; Azzopardi, P.S.; Wickremarathne, D.; Patton, G.C. The age of adolescence. Lancet Child. Adolesc. Health 2018, 2, 223–228. [Google Scholar] [CrossRef]
  27. Crone, E.A.; Dahl, R.E. Understanding adolescence as a period of social–affective engagement and goal flexibility. Nat. Rev. Neurosci. 2012, 13, 636–650. [Google Scholar] [CrossRef] [PubMed]
  28. Zimbardo, P.G.; Boyd, J.N. Putting time in perspective: A valid, reliable individual-differences metric. J. Pers. Soc. Psychol. 1999, 77, 1271–1288. [Google Scholar] [CrossRef]
  29. Boniwell, I.; Zimbardo, P.G. Balancing time perspective in pursuit of optimal functioning. In Positive Psychology in Practice: Promoting Human Flourishing in Work, Health, Education, and Everyday Life; Joseph, S., Ed.; John Wiley & Sons: Hoboken, NJ, USA, 2015; pp. 223–236. [Google Scholar]
  30. Oyanadel, C.; Buela-Casal, G. Percepción del tiempo y salud: La influencia del perfil temporal equilibrado (BTP) y el perfil temporal negativo (NTP) en la salud física y mental [Time perception and health: The influence of the balanced time profile (BTP) and the negative time profile (NTP) on physical and mental health]. Rev. Argent. Clínica Psicológica 2017, 26, 296–306. [Google Scholar] [CrossRef]
  31. Zimbardo, P.G.; Boyd, J.N. La Paradoja del Tiempo [The Time Paradox]; Paidós: Veracruz, Mexico, 2009. [Google Scholar]
  32. Sircova, A.; van de Vijver, F.J.R.; Osin, E.; Milfont, T.L.; Fieulaine, N.; Kislali-Erginbilgic, A.; Zimbardo, P.G.; Djarallah, S.; Chorfi, M.S.; Leite, U.D.R.; et al. A global look at time: A 24-country study of the equivalence of the Zimbardo Time Perspective Inventory. SAGE Open 2014, 4, 1–12. [Google Scholar] [CrossRef]
  33. Oyanadel, C.; Buela-Casal, G. Time perception and psychopathology: Influence of time perspective on quality of life of severe mental illness. Actas Espanñolas Psiquiatr. 2014, 42, 99–107. [Google Scholar]
  34. Boniwell, I.; Osin, E.; Linley, P.A.; Ivanchenko, G.V. A question of balance: Time perspective and well-being in British and Russian samples. J. Posit. Psychol. 2010, 5, 24–40. [Google Scholar] [CrossRef]
  35. Olivera-Figueroa, L.A.; Juster, R.-P.; Morin-Major, J.K.; Marin, M.-F.; Lupien, S.J. A time to be stressed? Time perspectives and cortisol dynamics among healthy adults. Biol. Psychol. 2015, 111, 90–99. [Google Scholar] [CrossRef] [PubMed]
  36. Jankowski, K.S.; Zajenkowski, M.; Stolarski, M. What are the optimal levels of time perspectives? Deviation from the balanced time perspective-revisited (DBTP-r). Psychol. Belg. 2020, 60, 164–183. [Google Scholar] [CrossRef] [PubMed]
  37. Kuan, T.-Y.J.; Zhang, L.-F. Educating students about time perspective and its effect on subjective well-being. Educ. Psychol. 2022, 42, 644–668. [Google Scholar] [CrossRef]
  38. Mascia, M.L.; Agus, M.; Cabras, C.; Bellini, D.; Renati, R.; Penna, M.P. Present and Future Undergraduate Students’ Well-Being: Role of Time Perspective, Self-Efficacy, Self-Regulation and Intention to Drop-Out. Educ. Sci. 2023, 13, 202. [Google Scholar] [CrossRef]
  39. Mioni, G.; Cellini, N.; Romola, M.; Bruno, F. The The association between balanced time perspective, personality traits, subjective well-being, and distress during the COVID-19 pandemic. Timing Time Percept. 2022, 33, 1–24. [Google Scholar] [CrossRef]
  40. Pyszkowska, A.; Rönnlund, M. Psychological flexibility and self-compassion as predictors of well-being: Mediating role of a balanced time perspective. Front. Psychol. 2021, 12, 671746. [Google Scholar] [CrossRef] [PubMed]
  41. Ballabrera, Q.; Pérez-Burriel, M. The role of balanced time perspective mediating the relationship between mindfulness as a trait and life satisfaction in Catalan University students. Curr. Psychol. 2022, 42, 28728–28737. [Google Scholar] [CrossRef] [PubMed]
  42. Maciantowicz, O.; Witowska, J.; Sass-Stańczak, K. Empowered and satisfied: Relationship between empowerment, temporal life satisfaction and time perspective. Ceskoslovenska Psychol. 2018, 62, 488–502. [Google Scholar]
  43. Rönnlund, M.; Åström, E.; Westlin, W.; Flodén, L.; Unger, A.; Papastamatelou, J.; Carelli, M.G. A time to sleep well and be contented: Time perspective, sleep quality, and life satisfaction. Front. Psychol. 2021, 12, 627836. [Google Scholar] [CrossRef]
  44. Webster, J.D.; Vowinckel, J.; Ma, X. The meaning of temporal balance: Does meaning in life mediate the relationship between a balanced time perspective and mental health? Eur. J. Psychol. 2021, 17, 119–133. [Google Scholar] [CrossRef]
  45. Loose, T.; Vasquez-Echeverría, A. Academic performance and feelings of belonging: Indirect effects of time perspective through motivational processes. Curr. Psychol. 2023, 42, 4531–4542. [Google Scholar] [CrossRef]
  46. Oyanadel, C.; Núñez, Y.; González-Loyola, M.; Jofré, I.; Peñate, W. Association of Emotion Regulation and Dispositional Mindfulness in an Adolescent Sample: The Mediational Role of Time Perspective. Children 2023, 10, 24. [Google Scholar] [CrossRef]
  47. Fuentes, A.; Oyanadel, C.; Zimbardo, P.; González-Loyola, M.; Olivera-Figueroa, L.A.; Peñate, W. Mindfulness and balanced time perspective: Predictive model of psychological well-being and gender differences in college students. Eur. J. Investig. Health Psychol. Educ. 2022, 12, 306–318. [Google Scholar] [CrossRef]
  48. Stolarski, M.; Zajenkowski, M.; Jankowski, K.S.; Szymaniak, K. Deviation from the balanced time perspective: A systematic review of empirical relationships with psychological variables. Pers. Individ. Differ. 2020, 156, 109772. [Google Scholar] [CrossRef]
  49. Rönnlund, M.; Koudriavtseva, A.; Germundsjö, L.; Eriksson, T.; Åström, E.; Carelli, M.G. Mindfulness promotes a more balanced time perspective: Correlational and intervention-based evidence. Mindfulness 2019, 10, 1579–1591. [Google Scholar] [CrossRef]
  50. Mehrotra, S.; Rangaiah, B.; Kathi, S. Relationship between decision-making, time perspective and stress. Timing Time Percept. 2022, 19, 1–17. [Google Scholar] [CrossRef]
  51. Carpenter, R.K.; Horton, J.C.; Alloway, T.P. Time perspective, working memory, and depression in non-clinical samples: Is there a link? J. Psychol. 2022, 156, 414–434. [Google Scholar] [CrossRef]
  52. Karaytuğ, M.O.; Tamam, L.; Demirkol, M.E.; Namlı, Z.; Gürbüz, M.; Yeşiloğlu, C.; Eriş Davut, Ö.E. The Mediating Role of Time Perspective in the Relationship between Chronotype and Suicide in Bipolar Disorder. Behav. Sci. 2022, 12, 492. [Google Scholar] [CrossRef]
  53. Oyanadel, C.; Carrasco-Correa, H.; Latorre-Nanjarí, J.; Peñate-Castro, W.; Sepúlveda-Queipul, C. Reduciendo la ideación suicida en adolescentes con terapia de perspectiva temporal. Un estudio experimental Reducing suicidal ideation in adolescents with time perspective therapy. An experimental study. Acta Colomb. Psicol. 2021, 24, 63–71. [Google Scholar] [CrossRef]
  54. Shahnaz, A.; Saffer, B.Y.; Klonsky, E.D. Examining time perspective orientation in suicide ideation and suicide attempts. J. Soc. Clin. Psychol. 2019, 38, 627–646. [Google Scholar] [CrossRef]
  55. Lin, C.-C. The influence of parenting on gratitude during emerging adulthood: The mediating effect of time perspective. Curr. Psychol. 2023, 42, 174–184. [Google Scholar] [CrossRef]
  56. Stolarski, M.; Wojciechowski, J.; Matthews, G. Seeking the origins of time perspectives—Intelligence, temperament, or family environment? A one-year longitudinal study. Pers. Individ. Differ. 2021, 169, 110080. [Google Scholar] [CrossRef]
  57. Macałka, E.; Tomaszek, K.; Kossewska, J. Students’ depression and school burnout in the context of family network acceptance and deviation from balanced time perspective. Educ. Sci. 2022, 12, 157. [Google Scholar] [CrossRef]
  58. Olson, D.H.; Gorall, D.M.; Tiesel, J.W. FACES IV Package. Administration Manual; Life Innovations: Agua Dulce, CA, USA, 2006. [Google Scholar]
  59. Martínez-Pampliega, A.; Merino, L.; Iriarte, L.; Olson, D.H. Psychometric properties of the Spanish version of the Family Adaptability and Cohesion Evaluation Scale IV. Psicothema 2017, 29, 414–420. [Google Scholar] [CrossRef] [PubMed]
  60. Kalkbrenner, M.T. Alpha, omega, and H internal consistency reliability estimates: Reviewing these options and when to use them. Couns. Outcome Res. Evaluation 2023, 14, 77–88. [Google Scholar] [CrossRef]
  61. Oyanadel, C.; Buela-Casal, G.; Pérez-Fortis, A. Propiedades psicométricas del Inventario de Orientación Temporal de Zimbardo en una muestra Chilena Psycjomeric properties of the Zimbardo Time Perspective Inventory in a Chilean sample. Ter. Psicológica 2014, 32, 47–55. [Google Scholar] [CrossRef]
  62. Ferguson, C.J. An effect size primer: A guide for clinicians and researchers. Prof. Psychol. Res. Pract. 2009, 40, 532–538. [Google Scholar] [CrossRef]
  63. Zambianchi, M.; Bitti, P.E.R. The role of proactive coping strategies, time perspective, perceived efficacy on affect regulation, divergent thinking and family communication in promoting social well-Being in emerging adulthood. Soc. Indic. Res. 2014, 116, 493–507. [Google Scholar] [CrossRef]
  64. Baird, H.M.; Webb, T.L.; Sirois, F.M.; Gibson-Miller, J. Understanding the effects of time perspective: A meta-analysis testing a self-regulatory framework. Psychol. Bull. 2021, 147, 233–267. [Google Scholar] [CrossRef]
  65. Vásquez-Echeverría, A.; Álvarez-Núñez, L.; Mello, Z.; Worrell, F. Time Attitude Profiles and Health-Related Behaviors: Validation of a Spanish Version of the Adolescent and Adult Time Inventory–Time Attitudes (AATI-TA). Span. J. Psychol. 2020, 23, e51. [Google Scholar] [CrossRef]
Figure 1. Patterns of time perspective scores by family type.
Figure 1. Patterns of time perspective scores by family type.
Ejihpe 14 00008 g001
Table 1. Sociodemographic characteristics of the sample.
Table 1. Sociodemographic characteristics of the sample.
VariableN%
Caregiver
  Father4215.2
  Mother23484.8
  Total276100
Civil Status
  Single4717
  Married16559.8
  Widow165.8
  Divorced207.2
  Separated217.6
  Civil Union51.8
  Other20.7
  Total276100
Education Level
  Primary165.8
  Secondary9233.3
  Technical10437.7
  University6021.7
  Other41.5
  Total276100
Child High School Level
  1st year10939.5
  2nd year7527.2
  3rd year7226.1
  4th year155.4
  Other51.8
  Total276100
Table 2. Correlations between the balanced dimensions of the FACES IV and the ZTPI, DBTP, and DNTP scales.
Table 2. Correlations between the balanced dimensions of the FACES IV and the ZTPI, DBTP, and DNTP scales.
Past
Positive
Past NegativePresent HedonisticPresent FatalisticFutureDBTPDNTP
Cohesion0.42 *−0.18 *0.11−0.16 *0.39 *−0.35 *0.41 *
Adaptability0.28 *−0.16 *0.03−0.070.43 *−0.120.37 *
Note: FACES IV = Family Adaptability and Cohesion Evaluation Scale fourth version; ZTPI = Zimbardo Time Perspective Inventory; DBTP = Deviation from the Balanced Temporal Profile; DNTP = Deviation from the Negative Temporal Profile. * p < 0.005.
Table 3. Stepwise multiple regression analysis predicting cohesion levels by time perspective variables (N = 276).
Table 3. Stepwise multiple regression analysis predicting cohesion levels by time perspective variables (N = 276).
VariableCoefficienttp95% C.I.
Bβ
Constant14.46 6.50<0.00110.0818.83
Past Positive2.880.376.61<0.0012.023.74
Future1.780.224.02<0.0011.012.66
Past Negative−0.87−0.13−2.370.018−1.60−0.15
Note: C.I. = confidence interval.
Table 4. Stepwise multiple regression analysis predicting adaptability levels by time perspective variables (N = 276).
Table 4. Stepwise multiple regression analysis predicting adaptability levels by time perspective variables (N = 276).
VariableCoefficienttp95% C.I.
Bβ
Constant16.43 6.64<0.00111.6121.39
Future2.870.345.78<0.0011.893.84
Past Negative−1.11−0.15−2.60.008−1.92−0.30
Past Positive1.230.152.540.0120.282.19
Note: C.I. = confidence interval.
Table 5. Descriptive statistics for family cohesion groups by temporal perspective.
Table 5. Descriptive statistics for family cohesion groups by temporal perspective.
Family CohesionTemporal Perspective
Past Positive **Past Negative *Future **DBTP **DNTP **
M (SD)M (SD)M (SD)M (SD)M (SD)
Very Connected
(n = 167)
3.83
(0.48)
2.69
(0.61)
3.83 (0.45)2.02 (0.63)2.61 (0.61)
Connected
(n = 77)
3.59
(0.44)
2.73
(0.50)
3.58
(0.50)
2.26 (0.54)2.34 (0.55)
Somewhat Connected
(n = 32)
3.27
(0.64)
3.02
(0.55)
3.38 (0.55)2.78 (0.57)2.01 (0.52)
Note: DBTP = Deviation from the Balanced Time Profile; DNTP = Deviation from the Negative Time Profile. * p < 0.016. ** p < 0.001.
Table 6. Descriptive statistics for family adaptability groups by temporal perspective.
Table 6. Descriptive statistics for family adaptability groups by temporal perspective.
Family AdaptabilityTemporal Perspective
Past Positive **Past Negative *Future **DBTP **DNTP **
M (SD)M (SD)M (SD)M (SD)M (SD)
Very Adaptable
n = 216
3.74 (0.52)2.69 (0.58)3.78 (0.48)2.10 (0.59)2.56 (0.6)
Adaptable
n = 60
3.50 (0.50)2.92 (0.54)3.44 (0.49)2.36 (0.61)2.15 (0.56)
Note: DBTP = Deviation from the Balanced Temporal Profile; DNTP = Deviation from the Negative Temporal Profile. * p < 0.011. ** p < 0.005.
Table 7. Distribution of family types in the studied sample.
Table 7. Distribution of family types in the studied sample.
Cohesion
LowHigh
AdaptabilityLowDysfunctional (n = 70)Cohesive (n = 16)
HighAdaptable (n = 20)Balanced (n = 84)
Table 8. Time perspective scores by family type.
Table 8. Time perspective scores by family type.
Family TypePast
Positive
Past NegativePresent HedonisticPresent FatalisticFutureDBTPDNTP
M (SD)M (SD)M (SD)M (SD)M (SD)M (SD)M (SD)
Dysfunctional3.51 (0.49)2.89 (0.49)2.96 (0.52)2.70 (0.55)3.42 (0.49)2.39 (0.54)2.12 (0.50)
Adaptable3.38 (0.70)2.58 (0.65)2.73 (0.54)2.62 (0.85)3.63 (0.64)2.49 (0.82)2.55 (0.67)
Cohesive3.77 (0.51)2.61 (0.62)3.05 (0.55)2.33 (0.60)3.69 (0.49)1.93 (0.62)2.66 (0.59)
Balanced3.97 (0.46)2.65 (0.66)3.06 (0.64)2.51 (0.64)3.99 (0.46)1.98 (0.61)2.81 (0.62)
Note: DBTP = Deviation from the Balanced Temporal Profile; DNTP = Deviation from the Negative Temporal Profile.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Oyanadel, C.; Worrell, F.C.; Pinto-Vigueras, J.; Betancur, S.; Véliz Tapia, T.; Au-Castro, M.; Peña-Reyes, G.; González-Loyola, M.; Peñate, W. Time Balance and Family Functioning: The Role of Time Perspective in the Cohesion and Adaptability of Families with Adolescents. Eur. J. Investig. Health Psychol. Educ. 2024, 14, 117-132. https://doi.org/10.3390/ejihpe14010008

AMA Style

Oyanadel C, Worrell FC, Pinto-Vigueras J, Betancur S, Véliz Tapia T, Au-Castro M, Peña-Reyes G, González-Loyola M, Peñate W. Time Balance and Family Functioning: The Role of Time Perspective in the Cohesion and Adaptability of Families with Adolescents. European Journal of Investigation in Health, Psychology and Education. 2024; 14(1):117-132. https://doi.org/10.3390/ejihpe14010008

Chicago/Turabian Style

Oyanadel, Cristián, Frank C. Worrell, Jorge Pinto-Vigueras, Sara Betancur, Tamara Véliz Tapia, Marisol Au-Castro, Génesis Peña-Reyes, Melissa González-Loyola, and Wenceslao Peñate. 2024. "Time Balance and Family Functioning: The Role of Time Perspective in the Cohesion and Adaptability of Families with Adolescents" European Journal of Investigation in Health, Psychology and Education 14, no. 1: 117-132. https://doi.org/10.3390/ejihpe14010008

APA Style

Oyanadel, C., Worrell, F. C., Pinto-Vigueras, J., Betancur, S., Véliz Tapia, T., Au-Castro, M., Peña-Reyes, G., González-Loyola, M., & Peñate, W. (2024). Time Balance and Family Functioning: The Role of Time Perspective in the Cohesion and Adaptability of Families with Adolescents. European Journal of Investigation in Health, Psychology and Education, 14(1), 117-132. https://doi.org/10.3390/ejihpe14010008

Article Metrics

Back to TopTop