Applied psychology. Health and well-being最新文献

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.

Brief, low-cost growth mindset interventions improving academic-related outcomes can be valuable. However, less is known regarding their effectiveness on learning motivation, behaviors, and academic performance in non-Western cultures like China. This study aimed to examine the effects of a single-session growth mindset intervention on Chinese junior secondary students during the COVID-19 pandemic. We recruited 618 Chinese junior secondary school students from two schools and cluster-randomly assigned them to be the intervention school (n = 311) or the control school (n = 307). Data was collected during the fall semester of 2019 and the spring semester of 2020. Compared with the control school, students in the intervention school reported stronger growth mindset (partial η² = 0.02, p < .001), academic self-efficacy (partial η² = 0.02, p < .001), study engagement (partial η² = 0.01, p = .041), and improved Chinese performance (partial η² = 0.07, p < .001), with lower helpless attributions (partial η² = 0.03, p < .001) over time. The intervention had direct and indirect effects (i.e., via the growth mindset) on helpless attributions and academic self-efficacy, with an indirect effect on study engagement.The results support the effectiveness of the brief growth mindset intervention.

The cross-sectional association between self-compassion and coping self-efficacy has been well documented, but little is known about the extent to which self-compassion or coping self-efficacy persists in daily life. This study used dynamic structural equation modeling to explore the temporal relationship between self-compassion and coping self-efficacy through a daily diary study. Participants (N = 240, M_age = 18.98 ± 0.99 years, 44.8% female) completed 14 consecutive daily diaries on self-compassion and coping self-efficacy (for a total of 3219 observations). We found that self-compassion and coping self-efficacy demonstrated stability through autocorrelations. Self-compassion was a significant predictor of subsequent coping self-efficacy, and coping self-efficacy was a significant predictor of subsequent self-compassion. These findings suggest that there has been a virtuous cycle between state coping self-efficacy and state self-compassion.

Drinking alcohol in excess is associated with deleterious health outcomes, highlighting the need for research to identify potentially modifiable correlates of excessive alcohol consumption to target in behavioral interventions. The present two-wave prospective correlational study applied an integrated theoretical model that included theory of planned behavior constructs alongside habit, cue consistency, affective attitudes, and past behavior as predictors of two alcohol-related behaviors, drinking within safe limits and regular alcohol drinking, in separate samples of Australian undergraduate students (total N = 474). Structural equation models identified direct effects of habit, affective attitude, and subjective norms on intention for both behaviors. Habit at follow-up, cue consistency, and past behavior directly predicted behavior in both samples, whereas intention predicted behavior only for drinking within safe limits, and affective attitude only predicted behavior for regular drinking. Cue consistency moderated the effects of habit on behavior for both behaviors and moderated the effect of past behavior on regular drinking. Results corroborate past behavior and habit as key correlates of behavior and provide preliminary evidence of the importance of integrating cue consistency, a defining characteristic of habit, as a moderator of habit and past behavior effects an integrated theory test.

The use of e-cigarette or vape devices is a growing concern on an international scale, given the devices' addictive nature and questions regarding their short- and long-term health impacts. Their use is especially an issue in young people, many of whom have little or no previous nicotine use experience. This study tested an integrated dual process model in 363 young Australian undergraduates where prospectively measured e-cigarette use was predicted by the psychological constructs of the theory of planned behavior, supplemented with risk perception, e-cigarette dependence, habit, and implicit attitude. Intention to use an e-cigarette was predicted by affective attitude, subjective norm, and e-cigarette dependance, but not instrumental attitude, perceived behavioral control, or risk perception. E-cigarette use was predicted by e-cigarette dependance, intention, habit, implicit attitude, and previous nicotine use, although perceived behavioral control did not directly predict behavior nor moderate the intention-behavior relationship. Current findings provide evidence for important psychological predictors of e-cigarette use, signposting potential intervention targets. Specifically, interventions may benefit from using strategies that tap affective or normative beliefs alongside automatic constructs and dependence, while focusing less on beliefs about the health impacts of e-cigarettes or control over using.

This study investigated: i) the effects of loneliness on self-reported sleep outcomes and daily stress/hassles, ii) whether the effects of loneliness on sleep outcomes were mediated through prior-day stress/hassles and iii) if the effects of loneliness on daily stress/hassles were mediated through prior-night sleep measures. Using a 7-day diary design, this study aimed to investigate relationships between loneliness, daily sleep outcomes and daily stress/hassles. Participants (N = 174, M_age 19.95, 86.2% female) completed the UCLA Loneliness Scale once before a 7-day online diary twice per day. Measures of daily stress and hassles were completed before bed and sleep outcomes the following day. Multilevel modelling found higher levels of loneliness were associated with poorer sleep quality, greater pre-sleep arousal, morning tiredness, fewer total hours slept and higher levels of daily stress and hassles across the 7-day study. Loneliness was found also to have indirect effects on sleep quality, pre-sleep arousal and morning tiredness through prior-day daily stress and hassles. In addition, loneliness also had indirect effects on daily stress and hassles through prior night sleep measures. The current findings suggest that interventions aimed at mitigating the effects of loneliness should also incorporate components that target modifiable risk factors such as sleep and stress.

Over recent decades, serious games have become a promising intervention approach for addressing psychological problems by providing users with computerized, engaging, and interactive experiences. An innovative serious game, Traveler, has been developed specifically as an intervention tool for managing posttraumatic responses immediately after trauma. The game incorporates the principle of visuospatial interference, the core elements of Tetris, such as spatial displacement and mental rotation, and the critical phases of eye movement desensitization and reprocessing. To test the intervention efficacy and feasibility of Traveler, we conducted a randomized controlled trial involving 105 young adults. Participants were randomly assigned into three groups: a wait-list control group, a group undergoing five-session written exposure therapy, or a group engaging in one session of Traveler gameplay. Outcome measures included intrusive memories (i.e. vividness of traumatic images, disgust at traumatic images, flashback frequency, and flashback impact) and posttraumatic growth measured by the Posttraumatic Growth Inventory. Traveler significantly outperformed the control and written exposure therapy groups in reducing intrusive memories and enhancing posttraumatic growth, with effects persisting at a 30-day follow-up. Thus, Traveler offers a promising brief and early intervention technique for addressing posttraumatic responses. Yet, its clinical applicability requires further investigation.

Previous research has demonstrated the influence of commensal dining between humans on food choices, whereas we conducted two studies to examine how the presence of a robot might influence people's choices between meat-heavy and vegetable-forward meals in imaginary scenarios. In Study 1, participants were instructed to choose three desirable dishes from a set of two meat and two vegetable dishes while they imagined eating alone, with a human, or with a robot. Although the meat dishes were rated as more palatable and pleasant, the female participants chose fewer meat-heavy meals when eating alone or with a robot than when eating with a human, whereas no such effect was observed for the male participants. We also replicated these patterns in Study 2, as the female participants chose fewer meat-heavy meals when eating with a robot and a human than when eating with two humans. Collectively, these findings provide empirical evidence regarding how the presence of a certain robot can influence female consumers' food choices in imaginary scenarios, which has direct implications for the practice of promoting sustainable food choices.