Applied psychology. Health and well-being最新文献

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.

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.

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.

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.

Understanding what facilitates and hinders water drinking is crucial to inform interventions for preventing underhydration. Using the Situated Assessment Method², 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.

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.

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.

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.

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.