Annals of Behavioral Medicine最新文献

{"title":"Dulce Digital-Me: results of a randomized comparative trial of static versus adaptive digital interventions for Latine adults with diabetes.","authors":"Athena Philis-Tsimikas, Addie L Fortmann, Taylor Clark, Samantha R Spierling Bagsic, Emilia Farcas, Scott C Roesch, James Schultz, Todd P Gilmer, Job G Godino, Kimberly L Savin, Mariya Chichmarenko, Jennifer A Jones, Haley Sandoval, Linda C Gallo","doi":"10.1093/abm/kaae077","DOIUrl":"10.1093/abm/kaae077","url":null,"abstract":"<p><strong>Objective: </strong>To compare the effectiveness of a static, text-based diabetes education and support intervention (Dulce Digital, DD) versus a dynamic approach with personalized feedback and goal setting (Dulce Digital-Me, DD-Me) in improving diabetes outcomes.</p><p><strong>Design and methods: </strong>Comparative effectiveness trial in 310 Latine adults with poorly managed type 2 diabetes in a Federally Qualified Health Center in Southern California, randomized to DD, DD-Me-Auto (algorithm-driven text-based personalized feedback), or DD-Me-Tel (coach delivered personalized feedback). Changes in HbA1c (primary outcome), low-density lipoprotein-cholesterol, systolic blood pressure, and patient-reported outcomes were examined across 6 and 12 months, with the primary comparison being DD versus DD-Me (combined automated and telephonic).</p><p><strong>Results: </strong>Participants were 52.1 (±10.2) years old, 69.7% female, with HbA1c 9.3% (±1.6) at baseline. Across groups, there was a statistically significant improvement in HbA1c at 6 months (mean∆ per month = -0.17, 95% CI -0.20, -0.14; P < .001) and 12 months (mean∆ per month = -0.07, 95% CI -0.09, -0.05; P < .001). However, there were no time-by-group interaction effects indicating group differences in clinical outcomes across 6 or 12 months. The DD-Me groups showed greater improvements across time than the DD group for diabetes self-management behaviors.</p><p><strong>Conclusions: </strong>Static and adaptive digital interventions for Latine adults with type 2 diabetes had similar and clinically significant effects on HbA1c across 12 months. Simple digital approaches can be integrated within primary care-based chronic care models to reduce diabetes disparities.</p><p><strong>Clinicaltrials.gov registration: </strong>NCT03130699, Initial Release 04/24/2017, https://clinicaltrials.gov/ct2/show/NCT03130699?term=NCT03130699&draw=2&rank=1.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11761693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871162","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":"Provided and received positive and negative social control, relationship satisfaction, and sedentary behavior in parent-child dyads.","authors":"Maria Siwa, Anna Banik, Zofia Szczuka, Ewa Kulis, Monika Boberska, Dominika Wietrzykowska, Nina Knoll, Anita DeLongis, Bärbel Knäuper, Aleksandra Luszczynska","doi":"10.1093/abm/kaae092","DOIUrl":"https://doi.org/10.1093/abm/kaae092","url":null,"abstract":"<p><strong>Background: </strong>The close relationship processes and health model and the dyadic health influence model posit that relationship beliefs (eg, relationship satisfaction) and influence strategies (eg, provision and receipt of positive and negative social control) mediate health behavior change. However, evidence for such mediation in parent-child dyads is limited.</p><p><strong>Purpose: </strong>Two complementary mediation hypotheses were tested: (1) social control forms indirect relationships with sedentary behavior (SB), via relationship satisfaction acting as a mediator; and (2) relationship satisfaction forms indirect relationships with SB, with social control operating as a mediator.</p><p><strong>Methods: </strong>Data from 247 parent-child dyads (9- to 15-year-old children) were analyzed using manifest mediation models. SB was measured with GT3X-BT accelerometers at Time 1 (T1; baseline) and Time 3 (T3; 8-month follow-up). Relationship satisfaction and social control were assessed at T1 and Time 2 (T2; 2-month follow-up). Path analysis models, controlling for baseline SB, were fit.</p><p><strong>Results: </strong>Received positive control (children, T1) was associated with higher relationship satisfaction in both children and parents (T2), which in turn were related to lower and higher parental SB at T3, respectively. Provided positive control (parents; T1) was related to higher SB (T3) in children. Relationship satisfaction among children (T1) predicted higher levels of received positive and negative control (children, T2).</p><p><strong>Conclusions: </strong>Provided and received positive social control may form direct and indirect associations with SB in parent-child dyads. Future research may need to consider further subtypes of positive control, which may explain the divergent effects of this form of control on SB.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":"59 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142943029","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":"Daily reciprocal relationships between affect, physical activity, and sleep in middle and later life.","authors":"Sun Ah Lee, Zachary Fisher, David M Almeida","doi":"10.1093/abm/kaae072","DOIUrl":"10.1093/abm/kaae072","url":null,"abstract":"<p><strong>Background: </strong>The daily dynamics among affect, physical activity, and sleep are often explored by taking a unidirectional approach. Yet, obtaining a comprehensive understanding of the reciprocal dynamics among affect and health behaviors is crucial for promoting daily well-being.</p><p><strong>Purpose: </strong>This study examined the reciprocal associations among affect, physical activity, and sleep in daily life in a U.S. national sample of mid- and later-life adults.</p><p><strong>Methods: </strong>The study sample included 1,171 participants (mean age = 62.61 years, SD = 10.26 years, 57% female, 82% White) with 9,033 daily interview days from the daily diary project of the third wave of the Midlife in the United States study (MIDUS III). Participants reported their daily experiences across eight consecutive days. Using a dynamic structural equation modeling, we examined day-to-day autoregressive and cross-lagged associations among positive and negative affect, physical activity, and sleep.</p><p><strong>Results: </strong>Results revealed that higher positive affect predicted a greater likelihood of engaging in moderate-to-vigorous physical activity (MVPA) and better sleep quality the following day. Higher sleep quality predicted increased positive affect, reduced negative affect, and a greater likelihood of MVPA engagement the next day. Longer sleep duration predicted lower negative affect the following day. However, MVPA engagement predicted subsequent higher negative affect.</p><p><strong>Conclusions: </strong>Findings underscore the importance of simultaneously considering affect, physical activity, and sleep in studying their day-to-day dynamics, and the protective role of positive affect and sleep quality in daily life. Maintaining high positive affect and managing sleep quality may be important intervention targets for enhancing daily well-being.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142811969","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":"Longitudinal timing of physical activity and associated cardiometabolic and behavioral health outcomes in young adults.","authors":"Caitlin P Bailey, Angelo Elmi, Jingyi Qian, Loretta DiPietro, Mia S Tackney, Melissa A Napolitano","doi":"10.1093/abm/kaae084","DOIUrl":"10.1093/abm/kaae084","url":null,"abstract":"<p><strong>Background: </strong>This is the first study to examine longitudinal associations between self-selected timing of moderate-to-vigorous physical activity (MVPA) and health outcomes in young adults over 18 months.</p><p><strong>Methods: </strong>Young adults (N = 434, Mage = 23.9, SDage = 4.6 years) enrolled in a weight management trial recorded 4-7 days of ActiGraph wear time at ≥1 time point (baseline, months 6, 12, and 18). Time-of-day categories were based on quartiles of the temporal distribution of MVPA min/h at baseline: morning (06:00-11:59), afternoon (12:00-15:59), evening (16:00-18:59), and night (19:00-00:59). The proportion of weekly MVPA accumulated during each time category was the predictor in longitudinal linear mixed-effects models predicting body mass index (BMI) and total weekly MVPA. Longitudinal quasibinomial generalized estimating equations models predicted cardiometabolic risk. Interactions were tested, and marginal trend estimates were generated for sex and age subgroups.</p><p><strong>Results: </strong>The analytic sample was 79% female and 49% non-Hispanic White, with a mean (±SD) weekly MVPA of 311 ± 167 min at baseline. In adjusted models, there were no associations with BMI. Morning MVPA was inversely associated with cardiometabolic risk (OR [95% CI]: 0.99 [0.98-0.99]) for both sex and age groups. Evening MVPA was inversely associated with cardiometabolic risk for 26-35 year olds (0.98 [0.97-0.99]). Morning MVPA was associated with greater total MVPA across subgroups, and afternoon MVPA was associated with less total MVPA in women.</p><p><strong>Conclusions: </strong>Over 18 months, incremental health benefits may accrue with optimal activity timing in young adults. Activity-based interventions designed to improve cardiometabolic and behavioral health outcomes in young adults may be optimized by tailoring timing recommendations to demographic factors.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783297/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142806066","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":"Twenty years of intervention optimization.","authors":"Linda M Collins","doi":"10.1093/abm/kaae076","DOIUrl":"10.1093/abm/kaae076","url":null,"abstract":"<p><p>In the classical paradigm for intervention research, the components that are to make up an intervention are identified, pilot tested, and then immediately assembled into a treatment package and subjected to an evaluation randomized controlled trial (RCT) to assess the performance of the entire package. Intervention optimization, which adapts ideas from technological fields to intervention science in order to hasten scientific progress, is an alternative to the classical paradigm. The first article introducing intervention optimization via the multiphase optimization strategy (MOST) was published in Annals of Behavioral Medicine in 2005. In this commentary, I reflect on the evolution of intervention optimization from that first publication to today, and on what the future could hold if the intervention science field continues to adopt the optimization paradigm. I propose that if intervention optimization became standard operating procedure, the field would accumulate a coherent base of knowledge about what specific intervention strategies work, for whom, under which circumstances, and why; every intervention produced would contain only components that contribute enough to justify their resource requirements; interventions would be readily implementable; and as the knowledge base grew, interventions would be improved continually.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142806070","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":"Diabetes-specific family functioning typology associated with intervention engagement and effects: secondary analyses from a randomized controlled trial.","authors":"McKenzie K Roddy, Andrew J Spieker, Robert A Greevy, Lyndsay A Nelson, Cynthia Berg, Lindsay S Mayberry","doi":"10.1093/abm/kaae070","DOIUrl":"10.1093/abm/kaae070","url":null,"abstract":"<p><strong>Background: </strong>Observationally, family and social support are important for optimal diabetes self-management; however, interventions targeting family/social support have not consistently been effective. A novel, diabetes-specific family functioning typology offers the opportunity to classify types of baseline family functioning to determine for whom family interventions may be effective.</p><p><strong>Purpose: </strong>We examined the effects of an intervention by baseline type of family functioning post hoc, to inform differential benefit from interventions.</p><p><strong>Methods: </strong>Participants were randomized to enhanced treatment as usual or a 9-month, mobile phone-delivered, family-focused, self-care support intervention. Adults with type 2 diabetes (N = 318) who participated in the randomized clinical trial (RCT) and provided baseline data were included. We determined participants' diabetes-specific family functioning types at baseline using a validated, survey-administered, typology assessment tool. We investigated the associations between type and engagement (eg, attending coaching sessions and responding to text messages) and psychosocial (eg, well-being and diabetes distress) and glycemic outcomes at mid- and post-treatment.</p><p><strong>Results: </strong>Despite overall high engagement, there was variability across types in engagement and effects. WantMoreInvolvement benefited the most; Satisfied withLowInvolvement showed early improvements that waned; Collaborative &Helpful were highly engaged but derived minimal benefits from the intervention; and CriticallyInvolved benefitted the least and may have experienced some harm.</p><p><strong>Conclusions: </strong>We demonstrated the utility of a novel diabetes-specific family functioning typology to explain variability in response to a family-focused intervention. Findings from this work answer the calls for systems-level consideration in precision behavioral medicine and drive hypothesis generation for future, tailored interventions.</p><p><strong>Registration: </strong>The larger RCT is registered with ClinicalTrials.gov (NCT04347291).</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783318/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142811972","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":"Correction to: Implementation of a Telehealth Smoking Cessation Program in Primarily Socioeconomically Disadvantaged Black Patients: Courage to Quit Rolling-Virtual (CTQ-RV).","authors":"","doi":"10.1093/abm/kaae095","DOIUrl":"10.1093/abm/kaae095","url":null,"abstract":"","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11761437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142942984","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":"Predicting the side effects of influenza vaccination.","authors":"Connor Silvester, Chiara Gasteiger, Greg D Gamble, Marc S Wilson, Kate Faasse, Keith J Petrie, Kate MacKrill","doi":"10.1093/abm/kaaf024","DOIUrl":"10.1093/abm/kaaf024","url":null,"abstract":"<p><strong>Background: </strong>Side effects following vaccination intensify vaccine hesitancy, which remains a significant challenge to public health. Research suggests that a proportion of side effects are not caused by the vaccine but are instead associated with psychological factors that influence nocebo responding.</p><p><strong>Purpose: </strong>This study investigates the psychological and demographic factors associated with symptom reporting postvaccination, the attribution of these symptoms as side effects, and their influence on future intentions to vaccinate.</p><p><strong>Methods: </strong>A prospective, longitudinal design was employed with 225 influenza vaccination recipients. Demographic and psychological measures (including anxiety, vaccination attitudes, and side effect expectations) were completed at baseline. Side effects were measured immediately and 1-week following the vaccination. Future intentions to vaccinate were measured 1-week postvaccination.</p><p><strong>Results: </strong>Anxiety (P < .001) and perceived sensitivity to vaccines (P = .044) predicted the number of symptoms reported immediately following vaccination. Anxiety (P < .001) and perceived sensitivity (P = .035) along with baseline symptoms (P < .001) predicted symptoms 1 week following the vaccination. Female gender (P = .003), younger age (P = .018), anxiety (P < .001), and baseline symptoms (P = .009) predicted whether participants attributed symptoms as vaccination side effects. Anti-vaccination attitudes were associated with less intention to vaccinate in the future (P = .033).</p><p><strong>Conclusions: </strong>Nocebo-associated psychological factors contributed to symptoms experienced after an influenza vaccination. Findings demonstrate that the way symptoms are noticed, and then interpreted as side effects, appear to be separate mechanisms promoted by different factors. This study improves identification of side effect reporters prior to vaccination.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":"59 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11942782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727340","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":"Changes in daily stress reactivity and changes in physical health across 18 years of adulthood.","authors":"Jonathan Rush, Susan T Charles, Emily C Willroth, Eric S Cerino, Jennifer R Piazza, David M Almeida","doi":"10.1093/abm/kaae086","DOIUrl":"10.1093/abm/kaae086","url":null,"abstract":"<p><strong>Background: </strong>Stress plays a pivotal role in physical health. Although many studies have linked stress reactivity (daily within-person associations between stress exposure and negative affect) to physical health outcomes, we know surprisingly little about how changes in stress reactivity are related to changes in physical health.</p><p><strong>Purpose: </strong>The current study examines how change in stress reactivity over 18 years is related to changes in functional health and chronic health conditions.</p><p><strong>Methods: </strong>Three measurement bursts from the National Study of Daily Experiences (N = 2880; 55% female) each included daily measures of stressor exposure and negative affect across 8 consecutive days, yielding 33 944 days of data across 18 years of adulthood. At each wave, participants reported their functional health limitations (ie, basic activities of daily living [ADL] and instrumental activities of daily living [IADL]) and chronic health conditions. Multilevel structural equation models simultaneously modeled stress reactivity at Level 1, longitudinal changes in stress reactivity at Level 2, and the association between changes in stress reactivity and changes in functional limitations and chronic conditions at Level 3.</p><p><strong>Results: </strong>Higher levels of stress reactivity at baseline were associated with more functional health limitations 18 years later (ADLs: Est. = 0.90, P = .001; IADLs: Est. = 1.78, P < .001). Furthermore, individuals who increased more in their stress reactivity across the 18-year period also showed greater increases in their functional health limitations (ADLs: Est. = 4.02, P = .017; IADLs: Est. = 5.74, P < .001) and chronic conditions (Est. = 11.17, P = .008).</p><p><strong>Conclusions: </strong>These findings highlight the strong connection between health and stress in daily life, and how they travel together across adulthood.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11761442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142891437","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":"Changing mindsets about methotrexate in the rheumatology clinic to reduce side effects and improve adherence: a randomized controlled trial.","authors":"Rachael Yielder, Kari Leibowitz, Alia J Crum, Paul Manley, Nicola Dalbeth, Keith J Petrie","doi":"10.1093/abm/kaae089","DOIUrl":"10.1093/abm/kaae089","url":null,"abstract":"<p><strong>Background: </strong>Patients' negative expectations about medication can exacerbate side effect burden leading to low adherence and persistence. A novel intervention involves targeting mindsets about non-severe symptoms; reframing them as encouraging signs of medication working.</p><p><strong>Purpose: </strong>This study aimed to assess whether a brief symptom-mindset intervention can improve symptom experience and adherence in patients starting methotrexate to treat an inflammatory rheumatic disease.</p><p><strong>Methods: </strong>A randomized controlled trial was conducted with patients starting methotrexate. Participants were randomly assigned (1:1) to a mindset intervention or standard information control condition. Symptom mindset was assessed after 4 weeks to check intervention efficacy. The primary outcome was symptom experience after 4 weeks. Secondary outcomes were adherence and motivation to take methotrexate (4 weeks), as well as continuation and C-reactive protein (12 weeks).</p><p><strong>Results: </strong>Forty-seven participants were randomly assigned to the intervention (n = 24) or control group (n = 23). All participants completed the study. After 4 weeks, compared to the control group, intervention participants endorsed more positive symptom mindsets, experienced less symptom burden (mean difference -2.70 [95% CI, -4.50, -0.90] P = .005), fewer general symptoms (3.53 [-6.99, .79] P = .045) and a similar number of methotrexate-specific symptoms (-0.79 [-2.29, 0.71] P = .295). The intervention group had better motivation and adherence to methotrexate at 4 weeks and better continuation, and C-reactive protein at 12 weeks than the control group. There was no difference in side effect attribution.</p><p><strong>Conclusions: </strong>In patients starting methotrexate, a mindset intervention reframing the role of non-severe side effects is a promising approach for improving symptom experience and early stage medication persistence.</p>","PeriodicalId":7939,"journal":{"name":"Annals of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11761654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880940","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}