Simon E Blackwell, Angela Rölver, Jürgen Margraf, Marcella L Woud
{"title":"The effect of positive mental imagery versus positive verbal thoughts on anhedonia.","authors":"Simon E Blackwell, Angela Rölver, Jürgen Margraf, Marcella L Woud","doi":"10.1111/aphw.12626","DOIUrl":"https://doi.org/10.1111/aphw.12626","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142666945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Selin Karakose, Martina Luchetti, Thomas Ledermann, Yannick Stephan, Antonio Terracciano, Angelina R Sutin
{"title":"Daily relationship satisfaction and markers of health: Findings from a smartphone-based assessment.","authors":"Selin Karakose, Martina Luchetti, Thomas Ledermann, Yannick Stephan, Antonio Terracciano, Angelina R Sutin","doi":"10.1111/aphw.12627","DOIUrl":"10.1111/aphw.12627","url":null,"abstract":"<p><p>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<sub>age</sub> = 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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of a meaning in life intervention applied to work: A randomized clinical trial.","authors":"Diana C Ríos, Gonzalo Hervas","doi":"10.1111/aphw.12622","DOIUrl":"https://doi.org/10.1111/aphw.12622","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Han Meng, Shiyu He, Jiesi Guo, Huiru Wang, Xin Tang
{"title":"Applying machine learning to understand the role of social-emotional skills on subjective well-being and physical health.","authors":"Han Meng, Shiyu He, Jiesi Guo, Huiru Wang, Xin Tang","doi":"10.1111/aphw.12624","DOIUrl":"https://doi.org/10.1111/aphw.12624","url":null,"abstract":"<p><p>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<sub>China</sub> = 7246, N<sub>Finland</sub> = 5482, N<sub>Colombia</sub> = 13,528, N<sub>Canada</sub> = 7246, N<sub>Russia =</sub>6434, N<sub>Turkey</sub> = 5482, N<sub>South Korea</sub> = 7246, N<sub>Portugal=</sub>6434, and N<sub>USA=</sub>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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Subjective well-being of children with special educational needs: Longitudinal predictors using machine learning.","authors":"Amanda Swee-Ching Tan, Farhan Ali, Kenneth K Poon","doi":"10.1111/aphw.12625","DOIUrl":"https://doi.org/10.1111/aphw.12625","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amy Rodger, Lawrence W. Barsalou, Esther K. Papies
{"title":"Habitualness, reward and external constraints: Exploring the underlying influences of daily water intake using the Situated Assessment Method2","authors":"Amy Rodger, Lawrence W. Barsalou, Esther K. Papies","doi":"10.1111/aphw.12598","DOIUrl":"10.1111/aphw.12598","url":null,"abstract":"<p>Understanding what facilitates and hinders water drinking is crucial to inform interventions for preventing underhydration. Using the Situated Assessment Method<sup>2</sup>, 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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":"16 4","pages":"2458-2483"},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/aphw.12598","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142613841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emily J. Ross, Mackenzie Shanahan, Livia Guadagnoli, Daniel E. Jimenez, Jeffrey E. Cassisi
{"title":"Positive affect longitudinally buffers the negative effect of health anxiety on gastrointestinal symptoms","authors":"Emily J. Ross, Mackenzie Shanahan, Livia Guadagnoli, Daniel E. Jimenez, Jeffrey E. Cassisi","doi":"10.1111/aphw.12601","DOIUrl":"10.1111/aphw.12601","url":null,"abstract":"<p>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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":"16 4","pages":"2484-2498"},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin Gardner, Phillippa Lally, Amanda L. Rebar
{"title":"Can—and should—automaticity be self-reported using a single item? A secondary analysis of 16 datasets","authors":"Benjamin Gardner, Phillippa Lally, Amanda L. Rebar","doi":"10.1111/aphw.12600","DOIUrl":"10.1111/aphw.12600","url":null,"abstract":"<p>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 <i>should not</i> 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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":"16 4","pages":"2438-2457"},"PeriodicalIF":3.8,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/aphw.12600","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding internal dynamics of state anxiety during COVID-19 pandemic: Seven-wave longitudinal findings via panel network analysis","authors":"Yimei Zhang, Zhihao Ma","doi":"10.1111/aphw.12599","DOIUrl":"10.1111/aphw.12599","url":null,"abstract":"<p>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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":"16 4","pages":"2421-2437"},"PeriodicalIF":3.8,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cheng Yu, Shan Zhao, Ling Jin, Yaqiong Wang, Danhua Lin
{"title":"A single-session growth mindset intervention among Chinese junior secondary school students","authors":"Cheng Yu, Shan Zhao, Ling Jin, Yaqiong Wang, Danhua Lin","doi":"10.1111/aphw.12596","DOIUrl":"10.1111/aphw.12596","url":null,"abstract":"<p>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 <i>η</i><sup>2</sup> = 0.02, <i>p</i> < .001), academic self-efficacy (partial <i>η</i><sup>2</sup> = 0.02, <i>p</i> < .001), study engagement (partial <i>η</i><sup>2</sup> = 0.01, <i>p</i> = .041), and improved Chinese performance (partial <i>η</i><sup>2</sup> = 0.07, <i>p</i> < .001), with lower helpless attributions (partial <i>η</i><sup>2</sup> = 0.03, <i>p</i> < .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.</p>","PeriodicalId":8127,"journal":{"name":"Applied psychology. Health and well-being","volume":"16 4","pages":"2397-2420"},"PeriodicalIF":3.8,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142279623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}