Applied psychology. Health and well-being最新文献

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.

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.

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.

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_age = 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.

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.

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_China = 7246, N_Finland = 5482, N_Colombia = 13,528, N_Canada = 7246, N_{Russia =}6434, N_Turkey = 5482, N_{South Korea} = 7246, N_Portugal=6434, and N_USA=6434). 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.

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.

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.

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.

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.