Search Results (99)

Background: Depression constitutes a major public health issue, being one of the leading causes of the burden of disease worldwide. The risk of depression is determined by both genetic and environmental factors. While genetic factors cannot be altered, the identification of potentially reversible environmental factors is crucial in order to try and limit the prevalence of depression. Aim: A cross-sectional, questionnaire-based study on a sample from the multicultural region of Thrace in northeast Greece was designed to assess the potential association of depression with several sociodemographic characteristics, lifestyle, and health status. The study employed four machine learning (ML) methods to assess depression: logistic regression (LR), support vector machine (SVM), XGBoost, and neural networks (NNs). These models were compared to identify the best-performing approach. Additionally, a genetic algorithm (GA) was utilized for feature selection and SHAP (SHapley Additive exPlanations) for interpreting the contributions of each employed feature. Results: The XGBoost classifier demonstrated the highest performance on the test dataset to predict depression with excellent accuracy (97.83%), with NNs a close second (accuracy, 97.02%). The XGBoost classifier utilized the 15 most significant risk factors identified by the GA algorithm. Additionally, the SHAP analysis revealed that anxiety, education level, alcohol consumption, and body mass index were the most influential predictors of depression. Conclusions: These findings provide valuable insights for the development of personalized public health interventions and clinical strategies, ultimately promoting improved mental well-being for individuals. Future research should expand datasets to enhance model accuracy, enabling early detection and personalized mental healthcare systems for better intervention. Full article

The COVID-19 pandemic may have disproportionately affected forcibly displaced people due to parallel uncertainties such as visa insecurity and family separation. This study explicitly examined whether different sources of uncertainty contributed in specific ways to increased psychological symptoms for refugees during the pandemic. A large cohort of 733 refugees and asylum seekers settled in Australia completed a mental health survey in June 2020 (T1) and 12 months later in June 2021 (T2). Using cross-lagged panel modelling, we tested changes in post-traumatic stress (PTS), depression and anxiety symptoms, visa status, family separation and COVID-19 uncertainty stress, and the contribution of intolerance of uncertainty (trait prospective and inhibitory), controlling for age, sex, trauma exposure, language, and time in Australia. Visa status and family separation stress at T1 predicted increased depression (bidirectional pathways) and PTS symptoms at T2 (unidirectional pathways), respectively. Visa status uncertainty at T1 was also associated with increases in COVID-19 and family separation stress at T2. Intolerance of uncertainty showed limited associations with symptoms and stressors. Findings demonstrate that different forms of refugee uncertainty had specific impacts on psychopathology during the first year of the COVID-19 pandemic. Refugees facing diverse kinds of stress may benefit from individual, community, and policy level support targeted to their specific circumstances and mental health needs during future crises. Full article

Depression and anxiety are mental health disorders that significantly impact global public health, affecting more than 280 million people with depression and 301 million with anxiety worldwide. These conditions impair individuals’ ability to engage in economic and personal activities and can lead to severe outcomes, such as suicide. Current research suggests that inflammatory cytokines, such as interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor (TNF), play crucial roles in the pathophysiology of these disorders, influencing neurotransmitters. Elevated cortisol levels, typically associated with anxiety, worsen these conditions through dysregulation of the hypothalamic–pituitary–adrenal (HPA) axis. Additionally, vitamin D deficiency has been linked to reduced production of dopamine and norepinephrine, hormones involved in depressive symptoms. This study utilized the Random Forest machine learning algorithm along with cross-validation to assess the importance of various biomarkers, including IL-1β, IL-6, IL-8, TNF, cortisol, vitamin D, NT-proBNP, CK-MB, troponin, myoglobin, and C-reactive protein (CRP), in volunteers of both sexes diagnosed with mental disorders. A single sample from each of the 96 participants was analyzed, consisting of 50 women and 46 men. The results revealed sex-specific differences in biomarker relevance, with vitamin D, CRP, and D-dimer being the most predictive for depression in men, while IL-6, CRP, and vitamin D were significant in women. For anxiety, vitamin D and myoglobin were important biomarkers in men, while IL-8 and vitamin D were key in women. The methodological strategy adopted, based on the use of Random Forest and cross-validation assessment, not only confirmed the robustness of the model but also reliably identified the most important biomarkers for the outcomes studied. Full article

Background/Objectives: Long-term effects of post-COVID-19 on several health outcomes remain unclear. We assessed PA and sedentary behaviour changes and explored behaviour-change factors twelve months post-COVID-19 in people with and without Long COVID. Methods: A prospective cohort study followed people treated for COVID-19 in different settings (home, hospital ward, intensive care unit) from twelve months to eighteen months post-COVID-19. Participants with and without Long COVID were identified. PA (Light PA-LPA, Moderate-to-Vigorous PA-MVPA, Steps·day⁻¹), sedentary time, functional capacity (six-minute walk test-6MWT), muscle strength (quadriceps maximal voluntary contraction-QMVC), dyspnoea (modified Medical Research Council scale-mMRC), fatigue, symptoms of anxiety and depression, and health-related quality of life-HRQoL were assessed. Results: Among 148 participants (58 ± 15 years, 54% male), 101 had Long COVID. All remained physically inactive. People with Long COVID significantly increased LPA (LPA_LongCOVID +28 [1; 55] min·day⁻¹; LPA_Controls +6 [−32; 45] min·day⁻¹), and decreased MVPA (MVPA_LongCOVID −4 [−7; −2] min·day⁻¹; MVPA_Controls −4 [−8; 1] min·day⁻¹) and sedentarism (Sedentarism_LongCOVID −47 [−89; −4] min·day⁻¹; Sedentarism_Controls −30 [−88; 28] min·day⁻¹). At eighteen months, higher proportions of individuals with Long COVID had impaired 6MWT (17% vs. 0%), reduced QMVC (25% vs. 6%), dyspnoea (24% vs. 0%), fatigue (67% vs. 13%), symptoms of anxiety (47% vs. 9%) and depression (26% vs. 0%) as well as poor HRQoL (50% vs. 6%). PA and sedentary behaviour changes at eighteen months were associated with dyspnoea and impaired QMVC at twelve months (LPA: mMRC ≥ 2: −41.56 [−129.30; 46.00] min·day⁻¹, Steps·day⁻¹: mMRC: −416.13 [−1223.83; 391.57]; QMVC ≤ 70% predicted: −1251.39 [−2661.69; 158.91], Sedentarism: mMRC ≥ 2: +47.21 [−90.57; 184.99] min·day⁻¹; 0.24 ≤ R² ≤ 0.32). Conclusions: PA and sedentary behaviour remain altered long after COVID-19, with people with Long COVID adjusting to fit lower PA levels, possibly driven by physical limitations and symptoms. Dyspnoea and muscle weakness may influence PA and sedentary behaviour. Full article

Affective touch (stroking the skin at velocities between 1 and 10 cm/s) is generally perceived as pleasant. However, this pleasant sensation diminishes with continuous stimulation over several minutes, with substantial individual variability in the habituation process. This study aimed to identify individual characteristics associated with the decline in the hedonic value of prolonged affective touch. Eighty-one female participants (mean age = 26 years) received continuous stroking on their forearms for 10 min at two distinct velocities: 3 cm/s (affective touch) and 30 cm/s (nonaffective touch). Every 100 s, participants rated the perceived pleasantness of the stimulation. Regression analyses were conducted to examine whether participants’ age, attitude toward touch by an unfamiliar person, recalled positive touch experiences during childhood, sympathy toward the toucher, reported symptoms of anxiety, depression, or somatization, and order of touch conditions predicted changes in their responses. On average, the perceived pleasantness of touch declined over time. The extent of the decline and individual variability in pleasantness ratings were not significantly associated with the selected predictors. However, higher overall ratings of affective touch pleasantness were linked to greater sympathy toward the toucher, lower levels of depression and somatization, and a lower frequency of recalled positive touch experiences during childhood. Affective touch was perceived as more pleasant when it was preceded by the nonaffective touch condition, compared to when the order was reversed. Order effects, the rapid decline, and substantial individual variability in the perceived pleasantness of prolonged affective touch should be considered in both research and therapeutic applications. Full article

Background/Objectives: As a peripheral effect of depression-related traits, sensory responses may predispose individuals to depressive symptoms by prompting suboptimal dietary patterns with long-term effects on mood. Mood disturbances in adolescence are strong predictors of adult mental illness, making it crucial to identify factors that may shift transient mood fluctuations into more severe mental health issues during this vulnerable period. Given the substantial gender differences in susceptibility to comorbidities of depression, we examined whether the link between sensory perception and depressive symptoms in nonclinical adolescents varied by gender and was related to dietary habits. Methods: In this cross-sectional study, 232 healthy adolescents (41.8% girls, aged 13–17) reported their diet over the past year using the EPIC Food Frequency Questionnaire and rated their liking and perceived intensity of oral sensations from four grapefruit juices and dark chocolate puddings with varying sucrose levels. Additionally, participants completed assessments of anxiety, neuroticism, pickiness, body dissatisfaction, and the Patient Health Questionnaire (PHQ-9) to evaluate depressive symptoms. Results: We found that girls exhibited higher levels of depression, anxiety, neuroticism, and pickiness compared to boys (Wilcoxon Rank Sum Test), and that greater responsiveness to bitterness (e.g., β = 0.264, p = 0.037) and astringency (β = 0.269, p = 0.029) predicted higher depressive symptoms exclusively in girls. PHQ-9 scores were positively associated with alcohol use in both girls (ρ = 0.176, p = 0.003) and boys (ρ = 0.148, p = 0.004) and inversely related to the intake of beneficial nutrients (e.g., fiber, polyunsaturated fats), particularly in girls. Intriguingly, moderation analyses suggested that associations between nutrient intake and acuity for alarming oral sensations were largely moderated by depression-related traits in girls, but not in boys. Conclusions: Our findings suggest that gender moderates the links between depressive symptoms, sensory perception, and dietary habits in healthy adolescents, possibly reflecting gender-specific coping strategies for comorbidities of depression. Full article

Background/Objectives: Physical activity (PA) is a key determinant of mental and physical health, yet its relationship with affective states remains insufficiently explored. Emotional factors, such as depression, anxiety, and motivation levels, can significantly impact PA engagement. This study aims to validate the Affective State and Physical Activity Questionnaire (ASPAQ), a novel 15-item instrument designed to assess the interplay between affective states and PA in adults. Methods: A cross-sectional study was conducted with 412 adults (145 males, 267 females, aged 18–65 years). Participants completed the ASPAQ alongside the International Physical Activity Questionnaire—Short Form (IPAQ-SF) and the Patient Health Questionnaire-9 (PHQ-9) on an online platform, with the support of trained operators. The psychometric properties of the ASPAQ were evaluated using reliability tests (Cronbach’s alpha, McDonald’s omega), exploratory factor analysis (EFA), and correlational analyses to assess convergent validity. Results: The ASPAQ demonstrated excellent reliability (Cronbach’s alpha = 0.973; McDonald’s omega = 0.973) and a unidimensional structure. Convergent validity was supported by significant correlations between ASPAQ scores and established measures of PA (IPAQ-SF) and depression (PHQ-9). EFA confirmed a single-factor model, reinforcing its conceptual integrity. Conclusions: The ASPAQ is a reliable and valid instrument for assessing the relationship between affective states and PA. Its integration with established measures offers a comprehensive tool for evaluating emotional barriers to PA. Future studies should explore its predictive validity and potential applications in clinical and public health settings to inform personalized interventions promoting PA among individuals with affective challenges. Full article

Previous studies suggest that nursing diagnoses (NDs) could predict clinical outcomes, such as mortality, among patients with non-communicable diseases. However, evidence in patients with COVID-19 is still scarce. Objective: To evaluate the association between NDs and COVID-19 mortality among hospitalized patients. Methods: A retrospective cohort study was conducted on 498 paper clinical records of patients hospitalized for at least 72 h in the internal medicine unit for COVID-19 from June to December 2020. The interest association was assessed using logistic regression models. Results: NDs focused on COVID-19 pulmonary responses, such as impaired gas exchange (OR = 3.04; 95% CI = 1.87, 4.95), impaired spontaneous ventilation (OR = 3.67; 95% CI = 2.17, 6.21), or ineffective airway clearance (OR = 2.47; 95% CI = 1.48, 4.12), were significant predictors of mortality. NDs on COVID-19 extrapulmonary responses, such as risk for unstable blood glucose level (OR = 2.45; 95% CI = 1.45, 4,15), risk for impaired liver function (OR = 2.02; 95% CI = 1.11, 3.63), hyperthermia (OR = 2.08; 95% CI = 1.29, 3.35), decreased cardiac output (OR = 2.95; 95% CI = 1.42, 6.11), or risk for shock (OR = 3.03; 95% CI = 1.28, 7.13), were associated with a higher risk of in-hospital mortality. Conversely, patients with NDs of fear (OR = 0.56; 95% CI = 0.35, 0.89) and anxiety (OR = 0.44; 95% CI = 0.26, 0.77) had a lower risk of death. Conclusions: NDs on pulmonary and extrapulmonary responses to COVID-19 were associated with in-hospital mortality, suggesting that they are indicators of the severity of these patients. Therefore, NDs may help nursing staff identify individuals who require closer monitoring and guide early interventions for their recovery. Full article

Stress in the workplace is a major problem that affects people of all ages, backgrounds, and occupations. It can contribute to various health problems, from anxiety to insomnia, among others. Workplace stress significantly impacts employee well-being and productivity. Current stress-management approaches, while valuable, primarily address stress after it has occurred. This highlights the critical need for proactive systems capable of anticipating individual stress and preventing negative health consequences. This research presents the design and initial implementation of a novel microservice-based recommendation system for proactively mitigating workplace stress among computer users. The system leverages predicted stress levels to deliver timely, personalized, and easily implemented interventions. This study focuses on evaluating the system’s architecture, core functionalities, and initial performance using a content-based filtering approach. A pilot study demonstrated the system’s feasibility, highlighting areas for future development. Full article

Is empathy a “double-edged sword”? This study aimed to contribute to a more nuanced understanding of the multidimensional empathy construct in the statistical prediction of negative and positive mental health outcomes. More specifically, this research intended to reveal whether, what, and how four individual empathy dimensions (i.e., cognitive empathy for negative emotions, cognitive empathy for positive emotions, affective empathy for negative emotions, and affective empathy for positive emotions) uniquely statistically predicted the levels of anxiety and depression symptoms, as well as well-being. A total of 786 Polish-speaking adults (452 females and 334 males) filled out a series of self-report questionnaires on empathy (the Perth Empathy Scale), anxiety, and depression symptoms, as well as well-being. Adjusting for demographic variables, the frequentist and Bayesian multiple regression analyses revealed that affective empathy dimensions (i.e., abilities to vicariously share others’ emotions) significantly predicted psychopathology symptoms and well-being, whereas cognitive empathy dimensions (i.e., abilities to understand others’ emotions) did not. In particular, higher affective empathy for negative emotions contributed to worse mental health outcomes, whereas higher affective empathy for positive emotions contributed to better mental outcomes. Overall, the results indicated that individual empathy dimensions demonstrated their specific dark and light sides in the statistical prediction of mental illness and well-being indicators, further supporting the clinical relevance of the multidimensional empathy construct. Full article

Background/Objectives: Adolescence is a developmental stage characterized by profound physical and psychological transformations, often leading to vulnerabilities such as body dissatisfaction, identity challenges, and the use of maladaptive coping strategies. This often leads to body-related psychopathologies, including headaches, restrictive eating disorders, and non-suicidal self-injury (NSSI). The present study aimed to describe the typical functioning and features of these conditions and the differences between the three groups, and to identify the most effective assessment for predicting these conditions. Methods: Sixty adolescent patients (51 female; mean age = 15.34 ± 1.80) were divided into three groups: headaches, restrictive eating disorders, and NSSI, and assessed for differences in symptoms, cognitive performance, personality, functioning, and illness severity using semi-structured interviews, clinician-based scales, and performance-based tests like the Rorschach inkblot test, according to the Rorschach Performance Assessment System (R-PAS). Results: Individuals with headaches experienced more internalizing symptoms, had an average IQ, maintained some functioning areas, and had distorted patterns of self–other relationships with the tendency to project malevolent aspects onto others. Patients with restrictive eating disorders had high levels of depressive symptoms, above-average IQ scores, negative symptoms, moderate presence of obsessive–compulsive personality traits, disorganized thinking, and a tendency to interpret situations subjectively. Patients with NSSI showed the highest level of depressive symptoms and social anxiety symptoms, and a considerable presence of psychotic symptoms and perceptual distortions. Negative symptoms, borderline personality traits, and psychosis symptoms had the strongest predictivity. Conclusions: The study provides clinicians with relevant insights into the features of these conditions and highlights assessment strategies, tailored interventions, and enhanced outcomes for these vulnerable populations. Full article

Robotic technology to assist rehabilitation provides practical advantages compared with traditional rehabilitation treatments, but its efficacy is still disputed. This controversial effectiveness is due to different factors, including a lack of guidelines to adapt devices to users’ individual needs. These needs include the specific clinical conditions of people with disabilities, as well as their psychological and cognitive profiles. This pilot study aims to investigate the relationships between psychological, cognitive, and robot-related factors playing a role in human–robot interaction to promote a human-centric approach in robotic rehabilitation. Ten able-bodied volunteers were assessed for their anxiety, experienced workload, cognitive reserve, and perceived exoskeleton usability before and after a task with a lower-limb exoskeleton (i.e., 10 m path walking for 10 trials). Pre-trial anxiety levels were higher than post-trial ones (p < 0.01). While trait anxiety levels were predictive of the experienced effort (Adjusted-r² = 0.43, p = 0.02), the state anxiety score was predictive of the perceived overall workload (Adjusted-r² = 0.45, p = 0.02). High–average cognitive reserve scores were predictive of the perception of exoskeleton usability (Adjusted-r² = 0.45, p = 0.02). A negative correlation emerged between the workload and the perception of personal identification with the exoskeleton (r = −0.67, p-value = 0.03). This study provides preliminary evidence of the impact of cognitive and psychoaffective factors on the perception of workload and overall device appreciation in exoskeleton training. It also suggests pragmatic measures such as familiarization time to reduce anxiety and end-user selection based on cognitive profiles. These assessments may provide guidance on the personalization of training. Full article

In the digital age, social media has not only transformed the way individuals interact but has also become a significant platform for self-presentation, especially among young people. Social comparison regarding appearance has become more prevalent in this environment, raising concerns about its impact on mental health. This study specifically examines the effects of upward social comparison (USC) on appearance anxiety, providing empirical support for the relationship between USC and appearance anxiety. Based on the Stress-Vulnerability Model, the Stress and Coping Model, Objectification Theory, and Self-Compassion Theory, the study constructs a moderated mediation model. An anonymous survey was conducted of 397 young adults (mean age = 21.6 years, SD = 2.12 years). The results showed that: (1) USC significantly predicted appearance anxiety (β = 0.546, p < 0.001); (2) self-objectification partially mediated the relationship between USC and appearance anxiety, with the mediation effect accounting for 21% of the total effect; (3) self-compassion moderated the relationship between USC and self-objectification, such that higher levels of self-compassion weakened the effect of USC on self-objectification. Full article

An understanding of the psychosocial factors that influence an individual’s attitude towards climate change and the potential impact of these factors on sustainability could prove valuable in the development of future programmes and campaigns designed to encourage more eco-friendly behaviours. Therefore, the objective of this study was to examine the relationship between anxiety about climate change, climate change curiosity, and a number of variables pertaining to psychosocial functioning, including social orientations, preferred values, and political beliefs. This study involved a sample of 277 people (Mage = 30.10; SD age = 9.32) who completed a series of scales: The Climate Anxiety Scale, The Curiosity of Climate Changes Scale, Agency/Communion Scale, The Portrait Values Questionnaire, and The Political Beliefs Questionnaire. The regression analysis revealed that two aspects of social orientation, namely unmitigated agency and unmitigated communion, were predictive of anxiety about climate change. Conversely, curiosity about climate change was not predicted by different aspects of social orientation. The self-transcendence metacategory of values was found to positively predict climate anxiety, whereas the conservation metacategory of values predicts it negatively. Political beliefs were not found to predict fear of climate change; however, some aspects of political beliefs were predictive of interest in climate change. Furthermore, a cluster analysis identified three distinct clusters of participants, distinguished by varying scores on the climate anxiety and climate curiosity scales. These clusters were characterised as follows: Anxious (individuals with high levels of climate anxiety and high levels of climate curiosity), Curious (individuals with low levels of climate anxiety and high levels of climate curiosity) and Disinterested (individuals with low levels of climate anxiety and low levels of climate curiosity). The individuals grouped within these clusters demonstrated differences in some aspects of social orientation, preferred values, and political beliefs. Full article

Background: Caring for dependent people is an intense task that leads family caregivers to suffer physical or mental pathologies. Resilience is a protective factor that makes an individual more resistant to adverse events. Some characteristics of the caregiver or the care provided predispose the caregiver to be less resilient. Knowing these characteristics will allow us to detect vulnerable caregivers. Aim: The aim of this study was to explore the factors associated with caregiver resilience and establish a predictive model, including the relationship between preparedness, burden, resilience, and anxiety. Materials and Methods: The study design was descriptive, observational, and cross-sectional, with purposive sampling. The sample included 172 family caregivers of care-dependent patients in Spain. Questionnaires were administered to assess caregiver resilience, anxiety, burden, and the preparedness of care-dependent patients. Correlation, univariate, and multiple linear regression analyses were performed to identify the factors associated with resilience. Results: We found that there is a correlation between resilience, preparation, and burden. Factors related to resilience include age, the caregiver’s health status, kinship, childcare, and state aid granted. Caregiver preparedness is the factor that most predicts caregiver resilience in our model. Caregivers with high levels of resilience also demonstrated high levels of preparedness and experienced less burden than those with low levels of resilience. Conclusions: These findings emphasize the relevance of improving the preparation of family caregivers to increase their resilience and, at the same time, the quality of care provided. Full article