Mindfulness instruction comprising both formal (FM) and informal (IM) mindfulness practice is increasingly offered to university students. FM involves sustaining attention on thoughts, emotions and bodily sensations through structured practices, while IM involves incorporating mindfulness into daily activities. However, recent evidence suggests that FM may pose challenges for students with recent non-suicidal self-injury (NSSI), whereas the flexibility and brevity inherent in IM may be better tolerated. This randomized controlled trial compared a FM induction, IM induction and control task among university students with (n = 103) and without (n = 123) past-year NSSI in terms of acceptability and pre-post state mindfulness, stress and well-being. Notably, results did not differ as a function of NSSI history. Two-way ANOVAs revealed that only IM was consistently preferred over the control task. Furthermore, three-way mixed ANOVAs revealed that-when assessed using brief Visual Analogue Scales-state well-being increased in all conditions, state mindfulness increased after both IM and FM, and state stress only decreased after IM. Notably, these differences by condition appeared to be of short duration as they were not found with lengthier measures. Results highlight the potential promise of IM and the importance of measurement selection when assessing the transient effects of mindfulness inductions in research.

Stress is a known contributor to psychosocial pathological conditions and reduction of well-being. The literature has highlighted the role of emotional schemas and psychological flexibility as psychological processes underlying this relationship in the short term. This two-wave longitudinal study analyses the mediating role of psychological flexibility and emotional schemas in the relationship between stress responses to COVID-19-related events and mental health 6 months later. Two hundred and seventy-six individuals were included in this study, completing measures of stress responses, emotional schemas, psychological flexibility and positive and negative mental health. Negative evaluation of emotions was a significant mediator in the longitudinal relationship between stress responses and negative mental health. Valued action and openness to experience mediate the longitudinal relationship between stress responses and positive mental health. This study underscores the importance of the different dimensions of psychological processes, suggesting that over time, more maladaptive psychological processes play a significant role in elucidating the relationship between stress responses and negative mental health. Similarly, it suggests that more adaptive processes may help explain the relationship between stress responses and positive mental health. This contributes to a better understanding of the stability of these processes, which is important for determining which intervention targets should be prioritised.

In recent years, artificial intelligence (AI) chatbots have made significant strides in generating human-like conversations. With AI's expanding capabilities in mimicking human interactions, its affordability and accessibility underscore the potential of AI chatbots to facilitate negative emotional disclosure or venting. The study's primary objective is to highlight the potential benefits of AI-assisted venting by comparing its effectiveness to venting through a traditional journaling platform in reducing negative affect and increasing perceived social support. We conducted a pre-registered within-subject experiment involving 150 participants who completed both traditional venting and AI-assisted venting conditions with counterbalancing and a wash-out period of 1-week between the conditions. Results from the frequentist and Bayesian dependent samples t-test revealed that AI-assisted venting effectively reduced high and medium arousal negative affect such as anger, frustration and fear. However, participants in the AI-assisted venting condition did not experience a significant increase in perceived social support and perceived loneliness, suggesting that participants did not perceive the effective assistance from AI as social support. This study demonstrates the promising role of AI in improving individuals' emotional well-being, serving as a catalyst for a broader discussion on the evolving role of AI and its potential psychological implications.

The present research examines whether and how lay intuitive theory regarding the interconnectedness of the mind and body, which we term mind-body correspondence (MBC), predicts engagement in health behaviors. Specifically, we hypothesised that MBC would strengthen mind influences the body (MIB) and body influences the mind (BIM) beliefs, which would in turn increase mental and physical health behaviors, respectively. We tested associations among MBC (independent variable), MIB and BIM beliefs (proposed mediators), and mental and physical health behaviors (dependent variables) using correlational designs in Studies 1a to 1c. Results revealed positive associations between MBC and (1) MIB and BIM and (2) mental and physical health behaviors, as well as between MIB and mental health behaviors and between BIM and physical health behaviors. We then tested the full model in Study 2 with an experimental manipulation of MBC and in Study 3 with a two-wave longitudinal design. Both studies revealed significant indirect effects of MBC on mental health behaviors via MIB and on physical health behaviors via BIM. Together, our findings suggest that one can encourage mental health behaviors by emphasizing the mind-to-body connection and physical health behaviors by highlighting the body-to-mind connection.

Social-emotional skills are vital for individual development, yet research on which skills most effectively promote students' mental and physical health, particularly from a global perspective, remains limited. This study aims to address this gap by identifying the most important social-emotional skills using global data and machine learning approaches. Data from 61,585 students across nine countries, drawn from the OECD Social-Emotional Skills Survey, were analyzed (N = 7246, N = 5482, N = 13,528, N = 7246, N6434, N = 5482, N = 7246, N6434, and N6434). Six machine learning techniques-including Random Forest, Logistic Regression, AdaBoost, LightGBM, Artificial Neural Networks, and Support Vector Machines-were employed to identify critical social-emotional skills. The results indicated that the Random Forest algorithm performed best in the prediction models. After controlling for demographic variables, optimism, energy, and stress resistance were identified as the top three social-emotional skills contributing to both subjective well-being and physical health. Additionally, sociability and trust were found to be the fourth most important skills for well-being and physical health, respectively. These findings have significant implications for designing tailored interventions and training programs that enhance students' social-emotional skills and overall health.

The significant prevalence of mental health problems among children and adolescents is a major concern worldwide. The current study evaluates the impact of a year-long, school-based intervention, Flourishing Students, on adolescents' salivary cortisol levels, depressive symptoms, psychological well-being, and hope. Utilizing a cluster randomized design with intervention and control classes, 72 students engaged in 32 well-being lessons during academic year 2016-2017, whereas 68 students followed their standard curriculum. Depressive symptoms and psychological well-being were assessed at three time points, while the stress hormone cortisol and hope were measured at two. The results showed a slight increase in cortisol levels from baseline to post-intervention during school hours in the control group, whereas no change occurred in the intervention group. Additionally, total cortisol levels at post-intervention were slightly lower among intervention-group students compared with control group students. Questionnaire data revealed significant interaction effects on psychological well-being and hope from baseline to post-intervention, and on depression and psychological well-being from baseline to the 5-month follow-up. The intervention group scored lower in depressive symptoms and higher in psychological well-being and hope compared with the control group. These findings underscore the essential role of comprehensive assessment methods in evaluating intervention efficacy in well-being programs.

Meaning-based interventions have demonstrated promising outcomes in enhancing meaning in life. However, understanding their efficacy in diverse contexts requires further research. This study aims to investigate the effectiveness of a meaning-based intervention in a military sample and the impact of incorporating an additional emotion regulation module into the intervention. We conducted a randomized three-group parallel trial with active-duty military personnel: a waitlist control group (n = 21), a meaning-based intervention group (n = 42), and a meaning-based intervention with emotion regulation group (n = 43). Both intervention groups received six 2-hour sessions and a follow-up session 4 months later. Meaning in life and work-related variables, as well as well-being, depression, emotion regulation, and work-related factors, were assessed using a mixed-factorial analysis of variance (ANOVA). The results showed that only the meaning-based intervention with an emotion regulation component significantly increased the presence of meaning in life. We also observed a trend toward improved well-being scores over time that did not emerge for the other intervention. This study provides initial support for the efficacy of meaning-based interventions within the military context when supplemented with emotion regulation skills.

Children with special educational needs (SEN) are a diverse group facing numerous challenges related to well-being and mental health. Understanding the predictors of well-being in this population requires the incorporation of diverse factors along with approaches that can uncover complexity in how these factors work together to influence well-being. We longitudinally predicted subjective well-being in a group of children with diverse special educational needs (N = 499; M = 8.4 ± 0.9 years). Thirty-two variables - ranging from demographics to various categories of life experiences - were used as predictors for both nonlinear machine learning and classical linear classifiers. Nonlinear machine learning classifiers exhibited much performance in predicting subjective well-being (F1 score = 0.72 to 0.84) compared to traditional linear classifiers. Overall, across all children, prior subjective well-being, numeracy, literacy skills, and interpersonal dimensions played important roles. However, clustering further identified four distinct clusters sharing important predictors: a 'socializer' cluster dominated by interpersonal functioning predictors, an 'analyzer' cluster emphasizing academic skills predictors, and two clusters with more diverse sets of important predictors. Our research highlights the multiple pathways toward well-being in children with SEN as uncovered by machine learning, with implications for understanding and supporting their well-being.

Understanding what facilitates and hinders water drinking is crucial to inform interventions for preventing underhydration. Using the Situated Assessment Method, we extended previous research by examining what influences water drinking in daily life. We studied 213 UK adults, assessing 13 potential predictors (e.g. thirst, availability of other drinks) of their typical water intake across 10 everyday situations (e.g. during work, dinner). Participants then reported their actual water intake in these situations over three alternating days during a 1-week follow-up. We evaluated the variability of water intake and its influences across individuals and situations and the prospective relationship between these influences and water intake. The 13 identified predictors explained substantial proportions of variation in water intake. Factors like habitualness (e.g. subjective effort), self-relevance (e.g. health consciousness) and immediate feedback (e.g. taste) were positively associated with water intake. However, the influence of these factors varied significantly across individuals and situations. Our results suggest that various interrelated predictors facilitate and hinder water drinking behaviour, emphasising the importance of using comprehensive behaviour theories to inform research in this domain. They also align with growing evidence that reward may regulate habitual behaviour.

Relationship satisfaction is associated consistently with better physical and mental health. Less is known about these associations in daily life, particularly the association between relationship satisfaction and cognitive health. This study examined the daily, within-person association between relationship satisfaction and subjective health markers, including cognitive health. Participants from the United States (N = 303; M = 51.71, SD = 7.32) in the Couples Healthy Aging Project (CHAP) completed assessments of relationship satisfaction and health markers every night for eight days. Multilevel modeling was performed by accounting for personal (sex, age, race, education), relational (relationship duration), and contextual (day in the study, weekend day) factors. Within-person, on days when participants were more satisfied with their relationship, they felt healthier, younger, more satisfied with their life, and more purposeful. They also reported a sharper mind, better memory, and clearer thinking; relationship satisfaction was unrelated to whether participants were bothered and disrupted by forgetting. Results indicated that a satisfying romantic relationship is closely associated with better physical, psychological, and cognitive health markers in daily life.

Anhedonia, the loss of interest in and pleasure from previously enjoyable activities is a core symptom of depression and presents a major challenge to treatments. Interventions involving positive mental imagery generation have been suggested to reduce anhedonia. However, it is not clear whether the imagery component of such interventions is crucial for these effects. The current study aimed to test this by contrasting repeated generation of positive mental imagery versus positive verbal thoughts. Over a one-week period, 53 mildly anhedonic adults completed five sessions of a computerized training program involving the generation of either positive images or positive sentences. Compared to participants who generated sentences, participants who generated imagery showed greater improvements from pre- to post-training on an individualized multi-facetted measure of anhedonia (the Dimensional Anhedonia Rating Scale), but not on standardized measures of anticipated pleasure (the Snaith-Hamilton Pleasure Scale), depression symptoms, or positive affect. The present study supports the proposal that positive imagery could provide a route to improve anhedonia, with generation of imagery in particular (as opposed to positive thoughts in general) as an important driving mechanism for these effects. This has theoretical and clinical implications for understanding the role of imagery in anhedonia and its treatment.

Sleep problems positively predict loneliness to a large extent, which would harm adolescent health. However, little is known about the underlying mechanism. This research investigates the potential mediating roles of rumination and resilience in the relation among adolescents and further examines the changing relationships. In Study 1, 1056 adolescents from two schools completed self-reported measures of sleep problems, loneliness, rumination, and resilience. We found that sleep problems were positively associated with loneliness, and that rumination and resilience mediated this relationship, both individually and sequentially. To examine the varying relationship between rumination, resilience, and loneliness, Study 2 adopted the cross-lagged design in a long-term longitudinal study of 131 students and found that rumination and resilience at T1 significantly predict loneliness at T2. To further directly explore the changing relationship between sleep problems and loneliness, we performed a short-term longitudinal study across 7 weeks of 242 adolescents in Study 3. The results replicated the findings of Study 2 and found sleep problems at T1 positively predicted loneliness at T2. These results underscore the significance of sleep problems in contributing to loneliness through mediating mechanisms and unveil the possible causal relationships, offering robust insights to alleviate adolescent loneliness.

Research on state anxiety has long been dominated by the traditional psychometric approach that assumes anxiety symptoms have a common cause. Yet state anxiety can be conceptualized as a network system. In this study, we utilized data from the COVID-Dynamic dataset from waves 7 to 13, collected at three-week intervals from June 6, 2020, to October 13, 2020, and included 1,042 valid participants to characterize the internal dynamics of state anxiety. Using the Gaussian graphical model along with strength centrality, we estimated three network models of state anxiety. The between-subjects and contemporaneous network showed numerous positive relations between items and some unexpected negative relations. Three communities were identified in the between-subjects network, and two communities were identified in the contemporaneous network. The temporal network showed the coexistence of positive and negative predictions between items after three weeks. Several items exhibited significant positive autocorrelations after three weeks. These findings have implications for anxiety theory and clinical interventions at between-subjects and within-subjects levels.

Promoting individuals' overall health and well-being is important, and understanding the interconnections between daily movement and dietary behaviors may provide insights for developing effective health behavior interventions. In the current study, we therefore adopted a network approach to investigate the complex relationships among movement and dietary behaviors within a daily diary study. Data were collected from 101 college students over a 28-day period, assessing movement (i.e., physical exercise and sedentary behavior) and dietary (i.e., overeating, sugar-sweetened beverage intake, and snack consumption) behaviors. We employed a multilevel vector autoregressive model to analyze the within-person (temporal and contemporaneous) and between-person networks of movement and dietary behaviors. Our findings unveiled a negative association between physical exercise and sedentary behavior at both contemporaneous and between-person levels, while the interconnections among dietary behaviors displayed nuanced variations across different levels. We also found intricate relationships between movement and dietary behaviors, with sedentary behavior and sugar-sweetened beverage intake emerging as central nodes in the behavior networks. This exploratory study underscores the complex interconnections of daily health behaviors, particularly highlighting the potential roles of sedentary behavior and sugar-sweetened beverage intake in multiple behavior interventions. These preliminary findings have yet to be validated through theory-driven studies with experimental designs.

People with significant health anxiety may experience brain-gut dysregulation, leading to increased visceral sensitivity and greater gastrointestinal (GI) symptoms. Positive affect (PA), on the other hand, may serve as a protective characteristic, buffering the negative impact of health anxiety on GI symptoms. This study investigated interrelationships between health anxiety, PA, and GI symptoms. Longitudinal data were collected on health anxiety, PA, and GI symptoms via an online survey from 861 adults at two timepoints, 4 weeks apart. Regression models were conducted to examine the moderating effect of PA at baseline on future GI symptoms. Greater health anxiety at baseline predicted GI symptoms at follow-up, whereas higher levels of PA predicted reduced GI symptoms at follow-up. Post hoc testing revealed that PA significantly moderated the relationship between health anxiety and GI symptoms over time, such that higher levels of PA attenuated the effect of health anxiety on belly pain, nausea and vomiting, and reflux at follow-up. This study provides preliminary evidence PA may buffer the negative impact of health anxiety on GI symptoms. Future studies should explore whether the promotion of PA through interventions similarly attenuates health related anxiety's impact on GI symptoms.

Understanding the influence of habit on health behaviour, or the formation or disruption of health habits over time, requires reliable and valid measures of automaticity. The most used measure, the Self-Report Behavioural Automaticity Index (SRBAI; derived from the Self-Report Habit Index [SRHI]), comprises four items, which may be impractical in some research contexts. Responding to demand from fellow researchers, this study sought to identify whether and which single items from the SRBAI adequately detect hypothesised effects of automaticity, via secondary analysis of 16 datasets, incorporating 16,838 participants and seven different behaviours. We assessed construct validity through correlations between each item and the full SRBAI (and where possible, the SRHI) and predictive validity by examining correlations with behaviour. All four single-item measures independently met construct and predictive validity criteria. We recognise compelling conceptual and methodological arguments regarding why people should not attempt to assess automaticity via a single, self-report item. However, where circumstances require brief measures, three SRBAI items each offer a credible and practical one-item measure that can substitute for the SRBAI or SRHI. We recommend one item in particular-'Behaviour X is something I do automatically'-because it tended to most closely replicate the effects of the four-item SRBAI.

Cancer is an important issue and a model topic for misinformatfion researchers. The present research experimentally investigates the effect of cancer-related conspiracy beliefs and misinformation on oncology treatment intentions in a cancer-free population. In three pre-registered studies (N total = 1020), participants were asked to put themselves in the shoes of a patient recommended for chemotherapy. Study 1 (N = 300) failed to experimentally manipulate cancer-related conspiracy beliefs with exposure to a health scandal not related to cancer. In Study 2 (N = 258), exposure to a pro-conspiracy (vs. anti-conspiracy) content related to cancer treatment was associated with more conspiracy beliefs, less intention to use chemotherapy and more intentions to use unconventional medicines. Exploratory analyses revealed that these effects were conditioned by the credibility of the misinformation. Study 3 (N = 462) replicated these findings using a full experimental design. Exposure (vs. no exposure) to a warning and accuracy prompt, prior to exposure to the pro-conspiracy content, was found to be effective in reducing its credibility and preventing its detrimental effects. These findings corroborate the existence of an effect of conspiracy beliefs on treatment intentions in oncology and also suggest several ways to mitigate them.

Habits are cue-behavior associations learned through repetition that are assumed to be relatively stable. Thereby, unhealthy habits can pose a health risk due to facilitating relapse. In the absence of research on habit decay in daily life, we aimed to investigate how habit decreases over time when trying to degrade a habit and whether this differs by four health-risk behaviors (sedentary behavior, unhealthy snacking, alcohol consumption, and smoking). This 91-day intensive longitudinal study included four parallel non-randomized groups (one per behavior; N = 194). Habit strength was measured daily with the Self-Report Behavioral Automaticity Index (11,805 observations) and modelled over time with constant, linear, quadratic, cubic, asymptotic, and logistic models. Person-specific modelling revealed asymptotic and logistic models as the most common best-fitting models (54% of the sample). The time for habit decay to stabilize ranged from 1 to 65 days. Multilevel modelling indicated substantial between-person heterogeneity and suggested initial habit strength but not the decay process to vary by behavioral group. Findings suggest that habit decay when trying to degrade a habit typically follows a decelerating negative trend but that it is a highly idiosyncratic process. Recommendations include emphasizing the role of person-specific modelling and data visualization in habit research.

Interventions often fail to achieve long-term behavioral maintenance. Utilizing motivational and volitional strategies to promote behavioral maintenance factors may improve this. Using a full-factorial experiment, we tested the effects of three intervention components (focused on intrinsic motivation and identity, exercise preparation habit, and exercise instigation habit) on exercise participation over a year, among new users (N = 751; 91% identifying as female, 54% identifying as White race) of a global, online exercise class platform, run by Les Mills International Ltd, called LM+. We also tested the intervention components' theoretical mechanisms of action-habit formation, intrinsic motivation, identity, and self-efficacy. Multi-level models found some support for a main effect of the exercise preparation habit intervention component in promoting self-reported and objective exercise participation (behavioral outcomes measured via monthly surveys and the LM+ platform; mechanisms measured via monthly surveys)-in particular online exercise class frequency (fixed effect estimate = 0.84, p < 0.05, and = 0.12, p < 0.05, respectively). The preparation habit component also significantly increased preparation habit strength (0.30, p < 0.05) and instigation habit strength (0.33, p < 0.05). Other expected effects were nonsignificant. Helping individuals form an exercise preparation habit may facilitate initiating and maintaining exercise over time, in particular for attending online exercise classes, potentially through promoting greater preparation and exercise instigation habit strength.

This study aimed to examine profiles of subjective well-being (SWB) and their stability during the economic hardships associated with the long-term impact of the COVID-19 pandemic and the Russian invasion of Ukraine. Selected sociodemographic, personality, and context-related variables were tested as covariates. Data were collected from 1755 participants (mean age 45.75 ± 15.99 years) in a nationwide panel over four waves (from November 2022 to June 2023; 34.3% dropout rate). SWB was measured using the Satisfaction with Life Scale and the Positive and Negative Affect Schedule, while personality traits were assessed with the Ten-Item Personality Inventory. Latent profile and transition analyses identified four SWB profiles (ambivalent, average, low, high) that remained stable over 8 months despite a significant drop in the inflation rate. Subjectively evaluated financial situation and the perceived impact of inflation on the household were significant covariates of profile membership, even after controlling for personality traits. The results of this study support the set-point theory of SWB and suggest that SWB is stable under socially shared circumstances of economic hardships, which may be attributed to both individual-level and country-level processes.

Health assessments have long been a significant research topic within the field of health psychology. By analyzing the results of subject scales, these assessments effectively evaluate physical and mental health status. Traditional methods, based on statistical analysis, are limited in accuracy due to their reliance on linear scoring methods. Meanwhile, machine learning approaches, despite their potential, have not been widely adopted due to their poor interpretability and dependence on large amounts of training data. Recently, large language models (LLMs) have gained widespread attention for their powerful natural language understanding capabilities, offering a viable solution to these issues. This study investigates the application of LLMs in enhancing physical and mental health assessments, introducing ScaleLLM. ScaleLLM employs language and knowledge alignment to turn LLMs into expert evaluators for health psychology scales. Experimental results indicate that ScaleLLM can improve the accuracy and interpretability of health assessments.

Habit is a key psychological determinant for physical activity behavior change and maintenance. This study aims to deepen the understanding of habit formation in physical activity and identify promotion strategies. We examined the habit formation trajectory and its relationships with cue-behavior repetition (a cue-triggered 15-minute brisk walk) and unconditional physical activity (daily steps). We also tested whether the behavior change techniques (BCTs) 'commitment' and 'prompts and cues' promote habit, cue-behavior repetition, and daily steps within persons. This micro-randomized trial included a 7-day preparatory and a 105-day experimental phase delivered via the HabitWalk app. Participants (N = 24) had a 50% probability of receiving each BCT daily, leading to four conditions. Habit strength was assessed daily using the Self-Report Behavioral Automaticity Index, while cue-behavior repetition and steps were measured via an activity tracker. Person-specific growth functions indicated that habit strength trajectories were highly idiosyncratic. Multilevel models indicated a positive effect of cue-behavior repetition on habit strength, but not vice versa. The effect of habit strength on daily steps varied by the operationalization of cue-behavior repetition. Tentative findings suggest that commitment and prompts and cues are effective habit-promotion strategies when delivered together.

Parent-child relationships play a crucial role in shaping adolescent depression. However, existing research has predominantly focused on isolated time points when examining the impact of parent-child relationship quality, overlooking the effect of parent-child relationship changes on depression. Using a four-wave longitudinal study of 951 adolescents, the current study investigated the impact of parent-child relationship quality and its changes on adolescent depression, while also examining the moderating role of interpersonal sensitivity and potential gender differences in these moderation patterns. Herein, we report that higher parent-child relationship quality is associated with lower levels of adolescent depression, while parent-child relationship changes are linked to higher depression. Interpersonal sensitivity moderates the association between parent-child relationship quality, relationship changes, and depression, with the moderation varying by gender. Specifically, in males with high interpersonal sensitivity, parent-child relationships negatively predict depression, while relationship fluctuations positively predict depression. In females with high interpersonal sensitivity, a rapid decline in the quality of the parent-child relationship seems to be associated with an increase in depression. The present study highlights the impact and mechanisms of parent-child relationship quality and its effects on depression, and provides a reference for the intervention of depression based on parent-child relationship changes.

Previous research has found that self-compassion enhances well-being outcomes such as happiness and meaning in life. However, little is known about the link between self-compassion and psychological richness, a recently introduced concept of well-being. Thus, an exploration of the relationship between self-compassion and psychological richness is necessary to gain a comprehensive understanding of the association between self-compassion and well-being. To address this issue, this study investigated the temporal directionality of their relationship within a cohort of Chinese college students, utilizing a two-wave longitudinal approach. Using a cross-lagged model, the results revealed that the self-compassion could predict psychological richness 3 months later, and conversely, psychological richness could also predict subsequent self-compassion. This research provides new insights into the bidirectional relationship between self-compassion and psychological richness, broadening our understanding of the association between self-compassion and well-being. Future interventions should focus on the important effect of self-compassion interventions in the development of psychological richness. In addition, future research could consider interventions on increasing psychological richness to improve the level of self-compassion among college students.

Although an increasing number of people are now committed to pursuing a healthy diet, it remains unclear how mental health changes during this process. The present study aimed to examine the combined effect of healthy dietary intention and behavior on depression and anxiety across two sub-studies. This study consisted of two parts: a cross-sectional survey (Study 1) involving 1,433 college students and an 11-day daily diary study (Study 2) with 117 college students. Polynomial regression and response surface analysis indicated that in cases of congruence, individuals' intention and behavior align at a high level and were associated with lower levels of depression and anxiety in the motivational phase but were not found similar association in the volitional phase. In cases of incongruence, individuals with high intention-low behavior tend to experience lower levels of depression and anxiety in the motivational phase. However, individuals with high intention-low behavior tend to experience higher levels of depression and anxiety in the volitional phase. These findings not only enrich the current understanding of diet and health but also contribute to the development of holistic strategies for promoting a healthy diet.

The COVID-19 pandemic has led to a global health crisis and a significant increase in psychological distress and psychopathological symptoms. We conducted a randomized controlled trial with two online interventions derived from positive psychology (PP) and acceptance and commitment therapy (ACT) in N = 138 "homestayers" during the first lock-down period in Germany. PP exercises had a positive impact on anxiety scores, which decreased significantly during the intervention, particularly in participants without access to a garden. Direct or indirect social contact, movement/exercise, and exposure to nature were the most frequently reported helpful coping strategies. We conclude that low-threshold online interventions with a focus on positive aspects of people's lives may be helpful to support mental health during pandemic crises. From a mental health perspective, the results also reinforce the approach of countries that allow their citizens to, for example, still go for walks during periods of contact restrictions, compared to full lock-down conditions.

Despite rigorous theoretical and clinical training, nursing students face emotional and academic challenges that can harm their well-being. Nonetheless, there is a dearth of research investigating the impact of laughter yoga (LY) on nursing students' well-being, perceived stress, and self-efficacy. The aim of this single-blinded, two-armed randomized controlled trial is to evaluate the effect of LY on nursing students' well-being, perceived stress, and academic self-efficacy (ASE). A total of five sessions of LY were applied to the intervention group. The analysis included a total of 83 nursing students (intervention group n = 41 and control group n = 42). Repeated-measures multivariate analysis of variance (MANOVA) and paired-samples t-test were used for data analysis. Results revealed that the intervention group showed a significant increase in well-being (p < .001) and a decrease in perceived stress after LY (p < .01). However, statistically significant differences between the intervention and control groups were not found in well-being, perceived stress, and ASE (p > .05). These results indicate the potential effects of LY on the students' well-being and perceived stress. Community mental health nurses and educators can use LY to improve well-being in universities.

The social identity model of identity change (SIMIC) posits that social group memberships protect well-being during transitional periods, such as the transition to university, via two pathways - maintaining previously held social group memberships (social identity continuity) and gaining new social group memberships (social identity gain). Breaking new ground, this study investigates how these processes can influence an important biomarker of stress - cortisol awakening response (CAR). A total of 153 first year undergraduate students (69.3% female) completed measures (group memberships, depression, life satisfaction) at the beginning of the academic year (October, time 1; T1), of which 67 provided a saliva sample for CAR assessment. Seventy-nine students completed the time 2 (February, T2) measures 4 months later (41 provided saliva). Academic performance was assessed objectively through end-of-academic year university grade data (June, T3). At T1, students who maintained and gained social group memberships reported lower depressive symptoms and greater life satisfaction. Across the academic year, social identity gain was associated with a larger post-awakening cortisol response at T2, indicative of a better ability to cope with stress. Thus, gaining new social group memberships during the transition to university was associated with a better ability to cope with stress.

Existing evidence has indicated that adopting a temporally distanced perspective can enhance the search for and presence of meaning in life. However, this effect may not hold among individuals facing highly stressful situations, as meaning-search might be considered dysfunctional in such contexts. Furthermore, prior research has not distinguished between near and distant perspectives when examining the impact of temporal distancing on meaning-search and meaning-presence. To address these gaps, this study utilized a prescreening stage (N = 972) to recruit participants dealing with unresolved stressors of moderate-to-high severity. A pre-test and post-test design was employed, with participants randomly assigned to either near-future or distant-future conditions. The results (n = 129) showed that temporal distancing manipulation increased meaning-presence scores across both conditions. Meaning-search scores were significantly lower at post-test compared to pre-test within the distant-future condition but not within the near-future condition. By examining the differential effects of near-future versus distant-future perspectives and recruiting individuals experiencing moderate-to-severe unresolved stressors, this study sheds light on how temporal distancing serves as a coping strategy, enabling individuals to maintain a relatively balanced sense of meaning in life when confronted with significant stressors.

The promotion of health and provision of care services for new recruits are issues of constant concern for military leaders and healthcare providers, as they are crucial to maintaining and operating military forces. The enhancement of military personnel's empowerment has been recognized as a core value in promoting health perception. However, the pathways between military personnel's sense of empowerment and health perception have not been thoroughly explored. The primary aim of this study is to examine the predictive power of different dimensions of empowerment (personal, interpersonal, and socio-political) on new recruits' health perception, and to further observe differences among subgroups, which will help us grasp the nuances of future health intervention measures. The research data were extracted from the "Military Career Development Study," analyzing personal empowerment data from Wave 1 (W1) and perceived health data from Wave 2 (W2) (N = 2,232). In terms of analytical methods, five ML classifiers, including Decision Tree, Random Forest, Support Vector Machine, AdaBoost, and k-Nearest Neighbors (KNN) algorithms, were used for prediction in both the full sample and subsamples (gender and socioeconomic status). Results show that among the five ML classifiers, the Decision Tree performed best overall, achieving a prediction accuracy of 95.4%. The results by gender show that the ML models perform best for both males and females with the Decision Tree and Random Forest methods. For the Decision Tree, the accuracy rates were 94.9% for males and 95.1% for females; the F1 scores were 92.9% for males and 93.2% for females. For the Random Forest, the accuracy rates were 94.9% for males and 95.4% for females; the F1 scores were 92.7% for males and 93.2% for females. Regarding SES, the Decision Tree and Random Forest methods performed best. In the SES Low group, both methods achieved a prediction accuracy of 95.6% and an F1 score of 93.7%; in the SES high group, they achieved a prediction accuracy of 95.4% and an F1 score of 93.3%. However, the contribution of different dimensions of empowerment features varied significantly among subgroups. These findings can provide important information on the differences in health perception among military personnel.