Journal of Behavioral Medicine最新文献

{"title":"The impact of exercise interventions on sleep in adult populations with depression, anxiety, or posttraumatic stress: review of the current evidence and future directions.","authors":"Kristin L Szuhany, Abigail J Sullivan, Joshua L Gills, M Alexandra Kredlow","doi":"10.1007/s10865-024-00532-z","DOIUrl":"10.1007/s10865-024-00532-z","url":null,"abstract":"<p><p>Consistent evidence suggests that exercise leads to improvements in subjective sleep quality and also objective sleep metrics in non-psychiatric adult populations. However, the degree to which exercise provides sleep benefits for adults with psychiatric disorders is less known, despite the potential benefits given that sleep disturbance is prevalent in these populations. In this narrative review, we synthesize results of randomized controlled trials examining the influence of aerobic and/or resistance exercise interventions on sleep outcomes in adult psychiatric populations. We specifically focus on populations with elevated symptoms or diagnoses of depression, anxiety, or posttraumatic stress disorder. A systematic search through June 2024 yielded 26 relevant trials. Overall, most trials reported improvement of subjective sleep quality after aerobic and/or resistance exercise programs in samples with depression. Similar effects were observed for posttraumatic stress; however, larger trials are needed. Further research is needed to examine the impact of exercise on sleep in anxiety populations as only one trial with mixed results was identified. Results were more equivocal for the subpopulation of adult women with perinatal or postpartum depression, demonstrating the importance of understanding exercise effects on sleep in specific subpopulations. Few studies examined objective sleep outcomes, impact of acute exercise on next day sleep, or the interplay between exercise, sleep, and psychiatric symptom changes, all important areas of future research. Other implications and future directions are discussed, including potential moderators and mechanisms of action that warrant further study to better understand how exercise interventions may optimally target sleep in psychiatric populations.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"4-21"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anxiety moderates the association between severity of food insecurity and sleep duration among young adults in food-insecure households.","authors":"Jesujoba I Olanrewaju, Leah A Irish, Vivienne M Hazzard, Rachel Widome, Dianne Neumark-Sztainer","doi":"10.1007/s10865-024-00542-x","DOIUrl":"10.1007/s10865-024-00542-x","url":null,"abstract":"<p><p>This study examined associations between food insecurity (FI) severity, anxiety symptoms, and sleep duration among young adults in food-insecure households. We hypothesized that more severe FI and higher anxiety would independently predict shorter sleep duration, and that anxiety would amplify the FI-sleep duration relationship. Analysis was conducted on a subsample (n = 96) of the EAT 2010-2018 young adult cohort. Participants completed the U.S. Household Food Security Survey Module, Generalized Anxiety Disorder-7, and sleep assessment items. Linear regression models, controlling for demographics, showed that increased anxiety symptoms were associated with decreased sleep duration (p < .001), while FI severity was not significantly associated. A synergistic interaction between FI severity and anxiety (p = .04) revealed that individuals with severe FI and high anxiety had the shortest sleep duration. Results suggest that people struggling with both FI and anxiety may be at high risk of short sleep. Future interventions for individuals with FI should consider anxiety's role in influencing sleep disturbance.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"199-205"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143060780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mindfulness-based interventions for binge eating: an updated systematic review and meta-analysis.","authors":"Jianyi Liu, Mara Tynan, Alexandra Mouangue, Caroline Martin, Stephanie Manasse, Kathryn Godfrey","doi":"10.1007/s10865-025-00550-5","DOIUrl":"10.1007/s10865-025-00550-5","url":null,"abstract":"<p><p>Mindfulness-based interventions (MBIs) have gained popularity in recent years in treating binge eating. Previous reviews and meta-analyses have found that MBIs demonstrated medium-large to large effects in reducing binge eating. However, as the literature on this topic has been growing rapidly, an updated review on MBIs' effectiveness is much needed. This study is a 10-year update of the Godfrey, Gallo, & Afari (2015) systematic review and meta-analysis of MBIs for binge eating. PubMED, PsycINFO, and Web of Science were searched using keywords including binge eating, overeating, objective bulimic episodes, acceptance and commitment therapy, dialectical behavior therapy, mindfulness, meditation, and mindful eating. Results indicate there has been a large increase in the number of studies testing MBIs for binge eating in the past 10 years with 54 studies meeting inclusion criteria, compared to 19 ten years ago. The majority of the studies yielded large and medium effect sizes. The random effects meta-analysis of between-group effect sizes yielded medium-large effects for MBIs versus non-psychological intervention controls at post-treatment (mean Hedge's g = - 0.65) and follow-up (mean Hedge's g = - 0.71), and negligible effects for MBIs versus active psychological controls at post-treatment (mean Hedge's g = - 0.05) and follow-up (mean Hedge's g = 0.13). Of all MBIs, DBT had the most studies with large effects. More studies examined MBIs that directly targeted binge eating had larger effects than studies with MBIs targeting other health outcomes (with binge eating as a secondary outcome). New studies included in the current review were internationally-conducted, focused more on participants with overweight or obesity, involved more self-help and technology-based components, and had more novel and innovative interventions components. Future MBIs research should conduct more RCTs comparing MBIs with other psychological interventions, conduct meta-analyses to examine the effectiveness of different types of MBIs and intervention targets, and extend follow-up periods.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"57-89"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143469554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing daily physical activity patterns with unsupervised learning via functional mixture models.","authors":"Ipek Ensari, Billy A Caceres, Kasey B Jackman, Jeff Goldsmith, Niurka M Suero-Tejeda, Michelle L Odlum, Suzanne Bakken","doi":"10.1007/s10865-024-00519-w","DOIUrl":"10.1007/s10865-024-00519-w","url":null,"abstract":"<p><p>Physical inactivity is a significant public health concern. Consideration of inter-individual variations in physical activity (PA) trends can provide additional information about the groups under study to aid intervention design. This study aims to identify latent profiles (\"phenotypes\") based on daily PA trends among adults living in. This was a secondary analysis of 724 person-level days of accelerometry data from 133 urban-dwelling adults (89% Latinx, age = 19-77 years). We used Actigraph accelerometers and the Actilife software to collect and process 24-hour PA data. We implemented a probabilistic clustering technique based on functional mixture models. Multiple days of data per person were averaged for entry into the models. We evaluated step counts, moderate-intensity PA (MOD), total activity and sedentary minutes as potential model variables. Bayesian Information Criterion (BIC) index was used to select the model that provided the best fit for the data. A 4-cluster resolution provided the best fit for the data (i.e., BIC=-3257, improvements of Δ = 13 and Δ = 7 from 3- and 5-cluster models, respectively). MOD provided the greatest between-cluster discrimination. Phenotype 1 (N = 61) was characterized by a morning peak in PA that declined until bedtime. Later bedtimes and the highest daily PA volume were distinct for phenotype 2 (N = 18), along with a similar peak pattern. Phenotype 3 (N = 29) membership was associated with the lowest PA levels throughout the day. Phenotype 4 was characterized by a more evenly distributed PA during the day, and later waking/bedtimes. Our findings point to distinct, interpretable PA phenotypes based on temporal patterns. Functional clustering of PA data could provide additional actionable points for tailoring behavioral interventions.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"149-161"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mobile apps for diabetes self-management: An updated review of app features and effectiveness.","authors":"Joyce A Corsica, Mackenzie C Kelly, Lauren E Bradley, Madeline M Konsor, Elizabeth J Wilson, Isabel C Quinones, Rebecca W Jeddi, Megan A Markey","doi":"10.1007/s10865-024-00525-y","DOIUrl":"10.1007/s10865-024-00525-y","url":null,"abstract":"<p><p>Self-management of diabetes is extremely challenging and non-adherence is common. Health consequences are significant for those unable to adhere to the complex treatment regimen, which includes regular oral medication and/or insulin use, frequent blood sugar checks, strict dietary management, and regular physical activity. Mobile applications (apps) present a tremendous opportunity to help patients improve adherence to these behaviors. The availability of commercial diabetes self-management apps is increasing exponentially, making it difficult for patients and providers to stay informed about app options and benefits. Previous reviews have described commercial diabetes apps and their features and usability for patients with diabetes. A smaller number have reviewed the effectiveness of these apps in improving blood glucose as well as other aspects of diabetes management. The aim of this article is to update our 2016 review, summarize the results of new reviews, review outcomes of diabetes apps described in the literature, and offer recommendations for app features, effectiveness research, and marketing in apps for diabetes self-management. Although higher-quality research is needed, current reviews suggest that many diabetes apps are effective in lowering HbA1c. Recommendations for future research include reporting critical details such as patient demographics and intervention elements and designing studies to identify the most effective components of diabetes management apps. Furthermore, clearly labeling apps that have data supporting clinical efficacy in app stores would allow both providers and patients to easily identify apps that might be most beneficial. Future research should explore the use of apps for the prevention of diabetes in individuals diagnosed with prediabetes.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"137-148"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142569840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Journal of behavioral medicine high impact updates: an introduction to the special series.","authors":"Alan J Christensen, Dorothy Pekmezi","doi":"10.1007/s10865-025-00558-x","DOIUrl":"10.1007/s10865-025-00558-x","url":null,"abstract":"","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"1-3"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143504448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024.","authors":"Danielle Arigo, Danielle E Jake-Schoffman, Sherry L Pagoto","doi":"10.1007/s10865-024-00526-x","DOIUrl":"10.1007/s10865-024-00526-x","url":null,"abstract":"<p><p>The field of behavioral medicine has a long and successful history of leveraging digital health tools to promote health behavior change. Our 2019 summary of the history and future of digital health in behavioral medicine (Arigo in J Behav Med 8: 67-83, 2019) was one of the most highly cited articles in the Journal of Behavioral Medicine from 2010 to 2020; here, we provide an update on the opportunities and challenges we identified in 2019. We address the impact of the COVID-19 pandemic on behavioral medicine research and practice and highlight some of the digital health advances it prompted. We also describe emerging challenges and opportunities in the evolving ecosystem of digital health in the field of behavioral medicine, including the emergence of new evidence, research methods, and tools to promote health and health behaviors. Specifically, we offer updates on advanced research methods, the science of digital engagement, dissemination and implementation science, and artificial intelligence technologies, including examples of uses in healthcare and behavioral medicine. We also provide recommendations for next steps in these areas with attention to ethics, training, and accessibility considerations. The field of behavioral medicine has made meaningful advances since 2019 and continues to evolve with impressive pace and innovation.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"120-136"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical activity interventions: an update on advancing sedentary time, technology, and dissemination and implementation research.","authors":"Beth A Lewis, Melissa A Napolitano, Matthew P Buman, David M Williams, Claudio R Nigg","doi":"10.1007/s10865-024-00533-y","DOIUrl":"10.1007/s10865-024-00533-y","url":null,"abstract":"<p><p>Approximately 28% of American adults meet both the physical activity (PA) and strength training guidelines despite the numerous health benefits associated with a physically active lifestyle. The purpose of this paper is to provide an update of the 2017 Society of Behavioral Medicine PA Special Interest Group article that outlined future directions in sedentary time reduction interventions, technology-based PA interventions, and the dissemination and implementation of PA interventions. Since the prior review, there has been significant progress on effective interventions for reducing sedentary time. However, there has been less progress for improving the specificity of sedentary time guidelines. There has been a dramatic increase in the number of studies examining PA mHealth interventions and support for mHealth intervention has generally been positive, though sustaining engagement in mHealth interventions remains a challenge. Promising newer technologies that have been explored more extensively since the prior review including artificial intelligence (AI). Knowledge of how to implement and scale-up effective PA interventions has also increased. Several current trends in PA intervention research that continue to advance the field include examining the moderating effect of the built environment on the effectiveness of behavioral interventions, cultural tailoring of interventions, Just in Time Adaptive Interventions (JITAIs), and exercise snacks (vigorous intensity PA sessions that are less than one minute). Overall, there has been significant progress in the PA intervention field but significant work remains for creating effective interventions that can be readily implemented into real world settings.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"99-110"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142630533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minority stress in relation to biological outcomes among sexual and gender minority people: a systematic review and update.","authors":"Annesa Flentje, Gowri Sunder, Elliot Tebbe","doi":"10.1007/s10865-024-00539-6","DOIUrl":"10.1007/s10865-024-00539-6","url":null,"abstract":"<p><p>Here we present an updated systematic review identifying studies published 2019-2024, since our prior systematic review in 2020, that examine the association between minority stress and a biological outcome among sexual and gender minority (SGM) people. Pubmed, Web of Science, and Embase were queried to identify studies that examined an association between minority stress (including prejudice events and conditions, anticipation of rejection and discrimination, concealment or disclosure of SGM identity(ies), internalized stigma, or structural stigma) and a biological health outcome among SGM people. Included studies were coded for methodological approaches, study population, minority stress measure, biological outcomes, count of overall analyses, and count of analyses where an association was detected. Fifty-nine studies met inclusion criteria and included a total of 391 analyses between an element of minority stress and a biological outcome, among which 38% of analyses detected an association (44% detected this association when study outliers were removed). All elements of minority stress demonstrated associations with outcomes: multicomponent measures, prejudice events and conditions, and structural stigma demonstrated the highest proportion of associations. Associations with minority stress were detected for general physical health, sleep, immune, cardiovascular, metabolic, hormonal, brain health, allostatic load, epigenetic and transcriptional regulation. The highest proportion of associations were detected among sleep, immune, cardiovascular, and hormonal outcomes. These studies evidence associations between minority stress and biological outcomes among gender minority people in addition to evidence among sexual minority people. Future research should consider increasing rigor in methodology and expanding our understanding of moderators and mediators of these relationships.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"22-42"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maintaining habitual physical activity by overcoming disruptive competing actions: mechanisms and interventions.","authors":"Navin Kaushal, Donya Nemati, Darko Jekauc, Aleksandra Luszczynska, Martin S Hagger","doi":"10.1007/s10865-024-00541-y","DOIUrl":"10.1007/s10865-024-00541-y","url":null,"abstract":"<p><p>Habits are mental representations of associations between actions and contextual contingencies. Habit formation can be efficacious in promoting health behavior maintenance, including for highly complex behaviors such as physical activity. Changes in circumstances (e.g., job transitions, moving home) or the advent of disruptive events (e.g., work-related or personal responsibilities) can lead to habit discontinuity by eliminating the contextual contingencies associated with the behavior. Recently, habit theorists have distinguished between preparation or instigation and execution habits, with preparation or instigation habits proposed as central to the development and maintenance of complex habitual behaviors. Discontinuity for complex habitual behaviors may entail disruption of preparation, instigation, or execution habits making such behaviors highly vulnerable to disruption and discontinuity. We propose that the advent of events such as increased work demands or personal responsibilities (e.g., job demands or personal circumstances such as caregiving) and competing highly rewarding activities (e.g., technology-mediated screen activities such as using smartphone apps and games) have high potential to disrupt preparation and instigation habits for complex behaviors. We outline the mechanisms involved and propose several strategies that may be employed to minimize disruption and discontinuity of complex habitual behaviors using physical activity as an illustration. We identify reaffirming original goals, self-monitoring, and planning strategies as potentially efficacious means to minimize the potential for events and competing activities to disrupt physical activity preparation and instigation habits. We call for future research to investigate the efficacy of these strategies in managing disruptive events and promote maintenance of habitual physical activity habit maintenance.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"90-98"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}