Morgan K Taylor, Kylie A Schiloski, Margie E Lachman
{"title":"Maintaining cognitive and physical health across the adult lifespan: the contribution of psychosocial factors.","authors":"Morgan K Taylor, Kylie A Schiloski, Margie E Lachman","doi":"10.1007/s10865-025-00603-9","DOIUrl":"10.1007/s10865-025-00603-9","url":null,"abstract":"<p><p>Research demonstrates that demographic (e.g., age, sex), behavioral (e.g., exercise), and lifestyle (e.g., drinking habits) factors are related to individual differences in cognition and health. Although some work has examined modifiable psychosocial factors (e.g., control beliefs, purpose in life, social contact) in relation to cognition and health, they are typically examined separately. We used data from the Midlife in the United States (MIDUS) study to investigate whether a composite measure of sense of control, purpose in life, and social support assessed at the second wave (M2) would be associated with cognition (episodic memory, executive function) and health (functional health, chronic conditions) ten years later at the third wave (M3). Participants (N = 2,497) ranged from 33 to 83 years old. We created a continuous composite of sense of control, purpose in life, and social support by standardizing and summing the individual factor scores. Using multiple regression, we tested the composite as a predictor of 10 year changes in episodic memory, executive function, functional health, and chronic conditions. We found that those higher on the psychosocial composite demonstrated greater maintenance of cognition and health compared to those lower on the composite, even after controlling for demographic, behavioral, and lifestyle risk and protective factors. Education moderated the effect of the composite on functional health, such that having a higher psychosocial score was more predictive of better functional health among those with lower and moderate levels of education. We discuss the value of using a psychosocial composite measure and implications for public health.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12494166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145201704","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}
Brooke Y Redmond, Maxwell Suffis, Angelica Duran, Andrew H Rogers, Michael J Zvolensky
{"title":"Anxiety sensitivity sub-facets and pain intensity and disability among individuals seeking treatment for weight-related behaviors.","authors":"Brooke Y Redmond, Maxwell Suffis, Angelica Duran, Andrew H Rogers, Michael J Zvolensky","doi":"10.1007/s10865-025-00605-7","DOIUrl":"https://doi.org/10.1007/s10865-025-00605-7","url":null,"abstract":"<p><p>Obesity in the United States is highly prevalent and often comorbid with other burdensome and debilitating conditions, such as chronic pain. To better address pain in the context of obesity, it is important to consider vulnerability factors associated with pain experiences. Anxiety sensitivity (i.e., fears of the potentially harmful consequences of anxiety-related symptoms) is an actionable transdiagnostic vulnerability factor robustly linked to pain. However, the unique role of specific sub-facets of anxiety sensitivity on pain-related outcomes such as pain intensity and disability have not been examined among individuals with weight-related concerns (e.g., obesity). The current study sought to explore the unique role of anxiety sensitivity sub-facets (i.e., physical, cognitive, and social concerns) with pain intensity and disability. Participants included 158 adults (61.8% female, M<sub>age</sub> = 31.6, SD = 10.68) who completed a baseline assessment for a larger randomized controlled trial for stress and weight-related behaviors (e.g., emotional eating). Results indicated that higher anxiety sensitivity physical concerns was associated with increased pain intensity and disability, whereas higher anxiety sensitivity social concerns was associated with lower pain intensity and disability. The present findings suggest the potential clinical utility of targeting anxiety sensitivity physical concerns in pain management among individuals with weight-related concerns.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145201603","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}
Renee El-Krab, Moira O Kalichman, Lisa A Eaton, Bruno Shkembi, Seth C Kalichman
{"title":"Diminished social support as an explanatory mechanism in the relationship between stigma and engagement HIV care.","authors":"Renee El-Krab, Moira O Kalichman, Lisa A Eaton, Bruno Shkembi, Seth C Kalichman","doi":"10.1007/s10865-025-00604-8","DOIUrl":"https://doi.org/10.1007/s10865-025-00604-8","url":null,"abstract":"<p><p>HIV-related stigma experiences impede healthcare engagement and adversely impact people living with HIV. However, the mechanisms that account for the association between stigma and poor health are not fully known. Grounded in contemporary theories of stigma and health, we conducted a 16-month prospective cohort study of 435 younger people living with HIV (ages 18-36), with 352 (81%) retained over 16 months. We tested two primary hypotheses: (a) in cross-sectional analyses, perceived social support would mediate for the association between HIV stigma experiences and missing recent HIV care appointments; and (b) in prospective analyses, the association between stigma and HIV viral load would be serially mediated by perceived social support and missed care appointments. We tested these associations for both past stigma experiences (e.g., enacted stigma) and expectancies for future stigma (e.g., anticipated stigma). Results confirmed both hypotheses: perceived social support mediated the association between both enacted and anticipated stigma and recently missed care appointments; and the association between both enacted and anticipated stigma and viral load were serially mediated by perceived social support and missed care appointments. These findings affirm that diminished social support may explain the association between HIV-related stigma and poor health outcomes in younger people living with HIV. Results are discussed in the context of interventions designed to mitigate the adverse effects of stigma by building sustainable support networks among younger people living with HIV.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145179195","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":"Food labeling strategies to alter meat analogue consumption willingness in Midwestern adults.","authors":"Lindsey Fremling, Alison Phillips","doi":"10.1007/s10865-025-00602-w","DOIUrl":"https://doi.org/10.1007/s10865-025-00602-w","url":null,"abstract":"<p><p>High levels of meat consumption pose well-documented risks to both human health and environmental sustainability. Given the substantial resources required for meat production and the pressures of population growth, continued reliance on meat as the dominant protein source is increasingly untenable. The Midwest region of the United States, which exhibits disproportionately high rates of both meat production and consumption, represents a particularly critical context for interventions aimed at shifting dietary behavior. Encouraging adoption of meat analogues in this region could have an outsized impact on both consumption patterns and environmental outcomes. The present study draws on theories of limited-resource social dilemmas and extends prior research on pro-environmental messaging and food labeling to evaluate strategies for increasing acceptance of meat analogues. A 2 (label present vs. absent) × 3 (label type: education, identity, social norm) factorial experiment was conducted to assess expected liking, willingness to try, willingness to purchase, and willingness to substitute meat analogues for conventional meat among Midwestern adults. Findings revealed a significant interaction between social norm and identity labels: when presented in combination, these labels increased expected liking (p = .013), willingness to purchase (p = .007), and willingness to substitute (p = .011). In contrast, education labels produced a significant backfiring effect on willingness to try (p = .013), raising important concerns about the efficacy of commonly used sustainability messaging. Finally, results indicated that the majority of participants were not willing to pay more for environmentally sustainable meat analogues, a pattern that diverges from past findings and highlights the need for pricing strategies.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145179212","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":"Healthcare discrimination, healthcare avoidance, and self-rated health in a sample of American Indians with type 2 diabetes.","authors":"Gabby Gomez, Kelley J Sittner, Crystal Greensky","doi":"10.1007/s10865-025-00598-3","DOIUrl":"https://doi.org/10.1007/s10865-025-00598-3","url":null,"abstract":"<p><p>Indigenous Peoples experience the highest age-adjusted prevalence of type 2 diabetes of any racial group in the U.S. Though the management of type 2 diabetes requires regular healthcare visits, North American Indigenous individuals with diabetes do not always utilize the healthcare available to them, and this lack of utilization may lead to poor health outcomes over time. Drawing on literature showing that North American Indigenous patients experience discrimination in healthcare and that experiencing discrimination in healthcare is associated with healthcare avoidance and/or delay, the current study conceptualized unmet healthcare utilization as healthcare avoidance and used path analysis with longitudinal data (four points of data collection) to examine the relationships between healthcare discrimination, healthcare avoidance, and self-rated health in a sample of 192 Indigenous adults with type 2 diabetes from the northern Midwest U.S. We found that healthcare avoidance was negatively associated with baseline self-rated health, and that healthcare avoidance partially explained the negative effect of lifetime healthcare discrimination on self-rated health at the final follow-up of the study. These results show that healthcare avoidance statistically mediates the relationship between healthcare discrimination and self-rated health and suggest that healthcare avoidance is an important mechanism linking healthcare discrimination to worse self-rated health over time. Ultimately, we argue that creating more inclusive and less microaggressive healthcare spaces is important for individual health outcomes and macro-level health inequities. Continued efforts to understand instances of and to diminish healthcare mistreatment of Indigenous Peoples are recommended.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024465","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":"Representing subpopulations with latent profile analysis: a non-technical introduction using exercisers' goal orientation adoption profiles.","authors":"E Whitney G Moore, Alessandro Quartiroli","doi":"10.1007/s10865-025-00596-5","DOIUrl":"https://doi.org/10.1007/s10865-025-00596-5","url":null,"abstract":"<p><p>Latent profile analysis (LPA) is in the finite mixture model analysis family and identifies subgroups by participants' responses to continuous variables (i.e., indicators); participants' probable membership in each subgroup is based on the similarity between the subgroup's prototypical responses and the person's unique responses. Compared to latent class analysis (LCA) with categorical data, LPA is a better fit for many variables and theories in behavioral medicine, because LPA can have continuous item, sub-scale, or scale scores as indicators, which can enable identifying and examining subgroups defined by responses representing complex, multidimensional concepts (e.g., orientations, motivations, well-being, ill-being, physical activity engagement) and biomarkers of diseases and disorders. Recently, the use of LPA has increased and as it continues to evolve, it is important researchers know best practice recommendations and explanations for both conducting as well as reading/reviewing LPA models. With this paper we: 1) discuss the strengths and weaknesses of LPA and the questions it is most appropriate to answer, 2) introduce LPA conceptually, 3) illustrate an LPA conducted with exercise psychology variables following current best practice recommendations, and 4) juxtapose resulting models from the LPA approach to a typical approach with the same data. We also share the data and syntax files used to conduct the basic steps of the LPA analyses as supplemental appendix files in addition to including the tables and figures for reporting LPA results following best practices.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024513","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}
Amy Liang, Kristopher J Preacher, Nathaniel J Williams, Paul D Allison, Steven C Marcus, Sonya K Sterba
{"title":"Determining the power of a 1-sided z-test given only the power of the corresponding 2-sided test.","authors":"Amy Liang, Kristopher J Preacher, Nathaniel J Williams, Paul D Allison, Steven C Marcus, Sonya K Sterba","doi":"10.1007/s10865-025-00595-6","DOIUrl":"https://doi.org/10.1007/s10865-025-00595-6","url":null,"abstract":"<p><p>Estimating statistical power is essential for designing behavioral medicine studies efficiently and conserving finite resources. Sometimes behavioral medicine researchers are interested in calculating power for 1-sided z-tests of individual parameters (e.g., slopes) in complex models such as multilevel structural equation models or multilevel mixture regression models. For such models, calculating power for 1-sided z-tests is cumbersome because: (a) online z-test power calculator tools are inapplicable, (b) commonly-used power analysis software provides power only for 2-sided z-tests and does not allow changing alpha, and (c) published power tables typically provide power results only for 2-sided z-tests. Hence, here we introduce straightforward and resource-efficient conversion formulas to estimate the power of 1-sided z-tests of individual parameters in any model by using direct power conversions from the corresponding 2-sided tests. We then implement these conversion formulas in accessible R and Excel software. This brief report thus provides behavioral medicine researchers with a convenient and practical solution for power calculation that minimizes the time, financial, and computational resources typically needed for power estimation.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024427","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":"Methods for analyzing longitudinal data from randomized pretest-posttest-follow-up trials in behavioral research: a practical guide to latent change models.","authors":"Constance A Mara","doi":"10.1007/s10865-025-00600-y","DOIUrl":"https://doi.org/10.1007/s10865-025-00600-y","url":null,"abstract":"<p><p>Randomized pretest, posttest, follow-up (RPPF) designs are widely used in longitudinal behavioral intervention research to evaluate the efficacy of treatments over time. These designs typically involve random assignment of participants to treatment and control conditions, with assessments conducted at baseline, immediately post-intervention, and during the follow-up period. Researchers primarily focus on determining whether the intervention is more effective than the control condition at post-treatment and whether these effects are sustained or change over time. This paper presents Latent Change Models (LCMs) as a practical approach for analyzing randomized pretest-posttest-follow-up (RPPF) trials, directly estimating discrete changes between timepoints and intervention-control group differences. The utility of LCMs is demonstrated through an application to the STAR (Supporting Treatment Adherence Regimens) trial, a pediatric randomized behavioral clinical trial aimed at improving adherence to anti-seizure medications (ASMs) among children with new-onset epilepsy. The results of the trial analyzed via an LCM are contrasted with the results as analyzed by an ANCOVA, a longitudinal linear mixed-effects model, and a latent growth curve model. The tutorial and application to the STAR trial demonstrate that LCMs offer notable strengths, including the ability to estimate discrete changes over time, control for baseline variability in the outcome, and incorporate all longitudinal data within a single, parsimonious model. These models provide an accurate and nuanced understanding of intervention effects in RPPF designs, with implications for clinical intervention research.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145024442","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}
Nicholas D Myers, Isaac Prilleltensky, Seungmin Lee
{"title":"Measuring stability and change in response patterns to a set of hierarchical scales in a randomized intervention study: an innovative application of latent transition analysis.","authors":"Nicholas D Myers, Isaac Prilleltensky, Seungmin Lee","doi":"10.1007/s10865-025-00586-7","DOIUrl":"https://doi.org/10.1007/s10865-025-00586-7","url":null,"abstract":"<p><p>The objective of this study was to measure stability and change in response patterns to a set of hierarchical Physical Activity Self-Efficacy (PASE) Scales with latent transition analysis (LTA). To accomplish this objective a multiple-group LTA modeled binary responses to six ordered items within each PASE scale. Data (N<sub>baseline</sub> = 461 and N<sub>30 days post-baseline</sub> = 428) from the Well-Being and Physical Activity (WBPA; ClinicalTrials.gov, identifier: NCT03194854) study were analyzed. A four-class solution with interpretable parameter restrictions explained response patterns to each PASE scale at baseline. Evidence for temporal measurement invariance of this four-class solution was provided. Stability of latent class membership from baseline (i.e., pre-intervention) to 30 days post-baseline (i.e., post-intervention) was modest, consistent with substantive theory. Desirable differences in LTA probabilities (e.g., transitioning from confidence to engage in 10 min of weekly physical activity at baseline to confidence to engage in 90 min of weekly physical activity at 30 days post-baseline) by intervention group were observed, consistent with objectives of the WBPA study.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144974575","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}
Andrew H Rogers, Tanya Smit, Jafar Bakhshaie, Michael J Zvolensky
{"title":"Impact of intraindividual pain variability on functional pain outcomes among adults with chronic pain: an ecological momentary assessment study.","authors":"Andrew H Rogers, Tanya Smit, Jafar Bakhshaie, Michael J Zvolensky","doi":"10.1007/s10865-025-00590-x","DOIUrl":"https://doi.org/10.1007/s10865-025-00590-x","url":null,"abstract":"<p><p>Chronic pain is a significant public health problem linked to notable functional impairment and economic burden. Despite considerable research attention, chronic pain treatments only yield small to medium sized effects for pain complaints. Better understanding the pain experience may help improve treatment outcomes for pain. Specifically, intraindividual variation in pain intensity represents a potentially important avenue that captures the dynamic nature of pain and may improve overall understanding of pain. Limited work has examined metrics of intraindividual pain variation across chronic pain populations, but no work has examined how these metrics are associated with pain functional outcomes (pain-related disability, negative affect, and activity avoidance). Therefore, the current study utilized ecological momentary assessment to assess pain intensity, pain-related disability, negative affect, and activity avoidance, 5 times a day for 7 days, among 48 adults with chronic pain. Results suggested that pain instability metrics (e.g., intraindividual standard deviation) were associated with pain-related activity avoidance, while dynamic metrics of variability (e.g. % of time in high pain) were directly associated with pain-related disability and negative affect. Results from the current study have important clinical implications that can be applied to the assessment of pain to guide further treatment planning. Contextualizing pain as a dynamic experience that can be captured via intensive self-report assessment may improve overall intervention outcomes.</p>","PeriodicalId":48329,"journal":{"name":"Journal of Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144800647","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}