Annals of Behavioral Medicine最新文献

Background: Low levels of physical activity (PA), more prevalent among those with low education, require effective interventions. Fewer trials have tested interventions to decrease sedentary behavior (SB). No school-based interventions have shown lasting effects on PA or SB in vocational schools.

Purpose: To examine whether the Let's Move It intervention has effects on behavioral and clinical outcomes among vocational students after 2 and 14 months.

Methods: A cluster randomized trial in 6 school units in vocational education in Finland (N = 1112) (mean age 18.5 years, range 15-46). The multi-component intervention targeted in-class activity opportunities (eg, teacher-led activity breaks, equipment in classrooms), and students' motivation and self-regulation (eg, 6 group sessions, à 45-60 min, during the intensive intervention period of 2 months). Valid (≥ 4 days, ≥ 10 h/day) accelerometer data were obtained from 741 students at baseline, 521 (70.3%) at 2 months, and 406 (54.8%) at 14 months.

Results: No evidence of a significant intervention effect on the co-primary outcomes (moderate-to-vigorous PA, SB, breaks in SB) was found. Participants in the intervention arm reduced their total daily SB time by 32 min (95% CI, -43.2 to -20.8) on weekdays, compared with the control arm's reduction of 8.6 (95% CI, -19.5 to 2.3) and engaged in more accelerometer-measured light PA during school time. Few differences were found in secondary outcomes. The fidelity of intervention delivery was relatively good.

Conclusions: This school-based intervention did not affect leisure-time activity. Despite a positive outcome on school-time light PA, more comprehensive or intensive environmental changes may be needed to meaningfully improve vocational students' total activity.

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.

Background: Self-efficacy is a modifiable intervention target in behavioral weight loss interventions. However, its role in the context of digital interventions is less clear.

Purpose: To determine change in self-efficacy in a digital weight loss intervention, and whether self-efficacy is associated with engagement in self-monitoring diet or weight loss.

Methods: This is a secondary analysis of the GoalTracker study among 100 adults with overweight or obesity enrolled in a 12-week standalone digital weight loss intervention emphasizing daily self-monitoring. At baseline, 1 month, and 3 months, we assessed self-efficacy for controlling eating (via the Weight Efficacy Lifestyle Questionnaire; WELQ) and self-efficacy for tracking diet. Dietary self-monitoring engagement data were collected from the MyFitnessPal app. Weight was collected in person on a calibrated scale. Analyses included participants with complete data (N range: 72-99).

Results: Positive change from baseline to 1 month in self-efficacy for controlling eating was associated with higher dietary self-monitoring engagement (r = 0.21, P = .008) but not with 3-month weight change (r = -0.20, P = .052). Meanwhile, positive change from baseline to 1 month in self-efficacy for tracking diet was associated in a beneficial direction with both outcomes (r = 0.57, P < .001; r = -0.35, P < .001, respectively). However, on average, self-efficacy for controlling eating did not change over time while self-efficacy for tracking diet decreased (P < .001).

Conclusion: Improvements in self-efficacy-particularly for tracking diet-early on in a digital weight loss intervention served as a mechanism of greater engagement and weight loss, highlighting the need for strengthening intervention strategies that promote early self-efficacy within a digital context.

Objective: 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.

Design and methods: 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).

Results: 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.

Conclusions: 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.

Clinicaltrials.gov registration: NCT03130699, Initial Release 04/24/2017, https://clinicaltrials.gov/ct2/show/NCT03130699?term=NCT03130699&draw=2&rank=1.

Background: 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.

Purpose: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Background: 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.

Purpose: We examined the effects of an intervention by baseline type of family functioning post hoc, to inform differential benefit from interventions.

Methods: 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.

Results: 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.

Conclusions: 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.

Registration: The larger RCT is registered with ClinicalTrials.gov (NCT04347291).

Background: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

Background: Firearms-related health sciences research has documented disparities in fatal and nonfatal firearm injury impacting populations in the United States defined by race and ethnicity, age, gender, and geography. Recent reports from research and advocacy organizations have highlighted a need for this research to include sexual and gender minority (ie, lesbian, gay, bisexual, transgender, and queer [LGBTQ+]) populations to guide public health efforts to prevent homicide, suicide, and injury.

Purpose: The current review examines and summarizes existing research related to firearms and LGBTQ+ populations in the United States.

Methods: A search of PubMed, Embase, CINAHL, PsycInfo, LGBT Life, and Scopus was conducted in May 2024 using search strings related to LGBTQ+ populations, firearms, and suicide. Articles were included in this review if they were peer-reviewed, empirical studies assessing any construct related to firearms among LGBTQ+ people in the United States.

Results: Ultimately, 35 studies were included. Constructs examined in included studies were suicide (n = 6), homicide (n = 4), responses to the Pulse nightclub shooting (n = 9), nonfatal interpersonal violence (n = 4), and firearm access and ownership (n = 12).

Conclusions: Findings identified substantial gaps in the literature, underscoring an urgent need for LGBTQ+ health researchers and firearm injury prevention researchers to collaboratively extend and improve the evidence base on firearms among LGBTQ+ populations. Key recommendations include improving Sexual Orientation and Gender Identity data collection in firearms research, collecting original data to address LGBTQ+-specific and LGBTQ+-inclusive research questions regarding firearms, broadening the scope of firearms constructs assessed among LGTBQ+ populations, and using intersectionality to guide future research.

Background: Past reviews have shown that culturally salient resilience interventions buffer the negative effects of racial discrimination on psychological and behavioral outcomes among Black youth. However, these prior reviews neglect to integrate trials targeting physical health and/or health-promoting outcomes, synthesize trials based on methodological rigor, or systematically assess efficacy or resilience intervention components.

Purpose: This systematic review expands on past research by (1) providing an up to-date literature review on family-based cultural resilience interventions across a range of health-related outcomes (physical health, health behaviors, health risk-taking behaviors, and psychological), (2) evaluating the rigor of these interventions, (3) analyzing the efficacy of rigorous interventions, and (4) describing the resilience intervention components of rigorous interventions.

Methods: Using the PRISMA guidelines, a systematic search was conducted from 1992 to 2022. Studies were included if they were family-based resilience interventions targeting health-related outcomes among Black adolescents ages 10-17 years.

Results: Fifteen studies met inclusion criteria, 10 of which were not included in past reviews. Overall, 10 trials demonstrated high methodological rigor, 9 of which were efficacious. Most rigorous, efficacious trials targeted health risk-taking behaviors outcomes (~66%), whereas none targeted health promotion behaviors (physical activity, diet). Resilience components of rigorous efficacious interventions included racial socialization (racial coping, cultural pride) and family resilience (communication, routine), with fewer integrating racial identity (self-concept, role models) and cultural assets (spirituality, communalism).

Conclusions: These findings suggest the need to replicate existing rigorous strengths-based resilience interventions and address broader outcomes, including health-promoting behaviors, in the future.

Introduction: Economic, social, and traumatic stressors have been shown to impact mental and physical health. Few studies have considered whether different domains of stressors have a differential effect on health outcomes or have considered stressors across the lifecourse. We characterize stress cumulatively (life stress) and across different domains and examine their relation to adult mental and physical health using prospectively collected data from the DISPAR study.

Methods: At 4 timepoints (birth, age 9, 15, and 50), economic, relational, and traumatic stressors were assessed, and interviews were conducted between 1959 and 2012. Experiences of major discrimination were assessed at age 50. Life stress scores and domain-specific stress scores, (occurring in either childhood or adulthood), were created. The Kessler distress scale, self-reported health, and objective measured allostatic load (AL) were assessed at age 50.

Results: Adjusting for race and sex, life stress was associated with all 3 outcomes. Domain-specific analysis showed that only SES stressors impacted all outcomes (poorer self-rated health, higher distress, and higher AL). Relational stress was associated with distress only; experiences of discrimination were associated with poor self-rated health and distress.

Conclusion: Stressors across the lifecourse have been proposed to affect wear and tear on multiple bodily systems and to affect multiple health outcomes. Our empirical test supported this hypothesis in a 50-year old cohort and in particular the impact of economic stress across physical and mental health outcomes.