Journal of Behavioral Medicine最新文献

{"title":"Differences in anxiety, depression and pain experience among adults with chronic low back pain as a function of nicotine product use.","authors":"Michael J Zvolensky, Tanya Smit, Andrew H Rogers, Jafar Bakhshaie, Joseph W Ditre, Dipali V Rinker","doi":"10.1007/s10865-024-00547-6","DOIUrl":"10.1007/s10865-024-00547-6","url":null,"abstract":"<p><p>The landscape of nicotine use in the United States (US) has continued to evolve, with electronic cigarette use (hereafter e-cigarette) becoming more evident in recent years. Patterns of dual nicotine use, or using combustible nicotine in conjunction with e-cigarettes, may increase dependence on nicotine, continued exposure to toxins, and corresponding health risks. One of the most prevalent health problems related to nicotine use is the experience of chronic pain. Past work has established a bidirectional relationship between nicotine use and pain, such that pain motivates nicotine use and nicotine use contributes to pain. However, no work has explored differences in negative mood and pain experience as a product of nicotine use type among adults with chronic low back pain. The current cross-sectional study examined whether dual cigarette/e-cigarette use was associated with greater anxiety, depression, and pain experience among a sample of adult nicotine users (cigarettes and/or e-cigarettes) with self-reported mild to severe chronic low back pain (N = 1034, 66.0% female, M_age= 44.47 years, SD = 11.63). Results indicated that, compared to exclusive combustible nicotine users, dual cigarette/e-cigarette users had statistically significantly higher anxiety, depression, and pain disability scores, beyond the effects of age, sex, education, and use of opioid medications for pain. No significant group differences emerged as a function of exclusive e-cigarette use. The current findings highlight that dual cigarette/e-cigarette use may serve to mark a subpopulation of persons with chronic low back pain who present more complicated clinical features that require comprehensive care.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"331-340"},"PeriodicalIF":2.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956799","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 impact of experiential avoidance on anxiety and depressive disorders in hematological cancer patients.","authors":"Gregor Weißflog, Jochen Ernst, Peter Esser, Uwe Platzbecker, Vladan Vucinic, Anja Mehnert-Theuerkauf, Franziska Springer","doi":"10.1007/s10865-025-00553-2","DOIUrl":"10.1007/s10865-025-00553-2","url":null,"abstract":"<p><p>Anxiety disorders and/or depressive disorders co-occurring with hematological cancer are an additional burden for patients. Experiential avoidance (EA; efforts to avoid negative emotions, thoughts, or memories) is an empirically evident transdiagnostic factor for the onset and maintenance of anxiety and depressive disorders in non-cancer populations. There is lack of evidence on the impact of EA in predicting anxiety and depression in cancer patients. A total of 291 patients with hematological cancer (60% male, mean age 55 years) were included in this cross-sectional observational study. Participants were assessed using the Structured Clinical Interview for DSM-5 mental disorders (SCID-5). EA was assessed via self-report using the Brief Experiential Avoidance Questionnaire (BEAQ). Hierarchical binomial logistic regression was conducted in order to estimate the impact of EA on anxiety and depressive disorders. A total of 38 patients (13.3%) met the diagnostic criteria for a current anxiety disorder, while 49 patients (17.2%) met the criteria for a current depressive disorder. In bivariate analyses, EA was significantly elevated in patients with an anxiety disorder in comparison to those without (54.4 vs. 48.9; p = 0.01). The same was true for depressive disorder (54.9 vs. 48.6; p < 0.01). After controlling for relevant sociodemographic and medical factors, EA did not predict anxiety or depressive disorder in separate regression models. The presence of an anxiety disorder was significantly predicted by female sex, younger age and elevated comorbidity burden. In contrast, the presence of a depressive disorder was predicted by comorbidity burden. Sociodemographic and medical predictors have greater predictive potential than EA regarding current anxiety and depressive disorder in hematological cancer patients.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"394-402"},"PeriodicalIF":2.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11929714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143383541","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":"Exposure to firearm injury and suicide in a rural Pennsylvania county: implications for mental and behavioral health.","authors":"Richard Stansfield, Daniel C Semenza, Devon Ziminski","doi":"10.1007/s10865-024-00529-8","DOIUrl":"10.1007/s10865-024-00529-8","url":null,"abstract":"<p><p>To evaluate the association between self-reported gun violence exposures and mental health and behavioral health indicators in a rural population. Using cross-sectional survey responses from 630 residents of a rural county in Pennsylvania, logistic regression models estimate the likelihood of residents indicating moderate or severe levels of health outcomes as a function of gun violence exposure. We control for a series of variables related to gun ownership, behavior, history with firearms and demographic characteristics. Personal firearm victimization was associated with self-reported depressive symptoms and interrupted sleep. Secondary exposure to firearm violence, particularly exposure to friends attempting or completing a suicide, was associated with higher odds of reporting severe levels (14 days or more in the past month) of depressive symptoms, anxiety, and poor sleep. For firearm suicide involving a friend or family member, the odds of reporting severe levels of all three outcomes are 3 times greater (OR 2.984, 95% CI 1.457-6.108). For each additional firearm exposure, the odds of experiencing severe levels of mental health and sleep difficulties are 1.4 times greater (OR 1.384, 95% CI 1.115-1.720). Cumulative exposures also increase the odds of reporting binge drinking and drug use. Firearm violence exposure was associated with adverse health indicators in this rural population. Approaches to counter the effects of cumulative firearm exposure and firearm suicide exposure, including reinvigorating community spaces and strengthening social supports, may help to reduce mental health burden in rural communities.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"188-198"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893648/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523365","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":"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":"Personality and cardiovascular mortality risk: a multi-cohort analysis in individuals with and without pre-existing cardiovascular disease.","authors":"Markus Jokela, Laura Pulkki-Råback, Marko Elovainio, G David Batty, Mika Kivimäki","doi":"10.1007/s10865-024-00528-9","DOIUrl":"10.1007/s10865-024-00528-9","url":null,"abstract":"<p><p>This study investigated the associations between personality traits of the Five Factor Model and cardiovascular mortality, with a specific focus on whether pre-existing cardiovascular conditions modified these associations. We used data from 43,027 participants across five cohort studies: Health and Retirement Study (HRS); Wisconsin Longitudinal Study (WLS); National Social Life, Health, and Aging Project (NSHAP); Midlife in the United States (MIDUS); Household, Income, and Labour Dynamics in Australia (HILDA) with a mean age 55.9 years and 6493 individuals with pre-existing cardiovascular disease. We conducted meta-analyses examining conscientiousness, emotional stability, agreeableness, openness to experience, and extraversion in relation to mortality due to coronary heart disease and stroke. During a mean follow-up of 12.1 years, 1620 participants died from coronary heart disease and 454 from stroke. Lower conscientiousness was associated with higher mortality risk from both coronary heart disease (hazard ratio per 1SD = 0.82, 95%CI = 0.75-0.90) and stroke (HR = 0.84, CI = 0.72-0.99). Lower emotional stability predicted increased coronary heart disease mortality (HR = 0.91, CI = 0.85-0.97). The association between conscientiousness and cardiovascular mortality did not differ between individuals with or without baseline cardiovascular conditions. In addition, adjustments for health behaviors and other covariates only slightly attenuated this association. Other personality traits were not associated with cardiovascular disease mortality. Our findings highlight the role of low conscientiousness, and to a lesser extent low emotional stability, in the development and progression of fatal cardiovascular disease through pathways that may extend beyond established health behaviors.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":"111-119"},"PeriodicalIF":2.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893667/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523366","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":"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}