Journal of Behavioral Medicine最新文献

Purpose We aimed to document the acceptability (enrollment rate) and feasibility (phone call delivery rate) of implementing a behavioral PA intervention over 12 weeks, in addition to documenting its effects on patient-reported outcomes and physical functioning. This study also describes the costs of carrying out a behavioral PA intervention. A total of 40 participants were randomized in a 1:1 ratio. The tailored behavioral PA intervention was developed based on the most recent PA guidelines in pediatric oncology and on the COM-B framework to enact PA behavior changes. The prescription (frequency, intensity, time and type (FITT)) was adjusted each week during the weekly support calls. The control group did not receive the intervention. 26 males and 14 females (13.6 years old on average and 2.9 years post-cancer treatment on average) participated in our study. The acceptability rate was 90.9% and the feasibility rate was > 85%. We found that 85% improved PA frequency, 80% improved PA intensity, 100% improved PA time, and 50.0% achieved the recommended PA guidelines. No adverse events were reported over the duration of the intervention. Physical function improved with longer 6-minute walk distances in the intervention group (465.8 ± 74.5 m) than in the control group (398.7 ± 92.9 m) (p = 0.016). PROs scores for all participants were within the limits of the normal range. The estimated cost per participant of carrying out this intervention was USD $126.57. Our 12-week behavioral PA intervention, based on the COM-B framework, was found to be acceptable, feasible and safe in childhood cancer survivors. This study is an important step in the right direction to make exercise standard practice in pediatric oncology.

Postmenopausal Hispanic/Latina (N = 254) women with a body mass index (BMI) ≥ 25 kg/m² were randomized to an intervention to reduce sitting time or a comparison condition for 12 weeks. The standing intervention group received three in-person health-counseling sessions, one home visit, and up to eight motivational interviewing calls. The heart healthy lifestyle comparison group (C) received an equal number of contact hours to discuss healthy aging. The primary outcome was 12-week change in sitting time measured via thigh-worn activPAL. Group differences in outcomes were analyzed using linear mixed-effects models. Participants had a mean age of 65 (6.5) years, preferred Spanish language (89%), BMI of 32.4 (4.8) kg/m², and sat for an average of 540 (86) minutes/day. Significant between-group differences were observed in reductions of sitting time across the 12-week period [M_difference (SE): C - 7.5 (9.1), SI - 71.0 (9.8), p < 0.01]. Results demonstrate that coaching models to reduce sitting are feasible and effective.

Given the traditional methods of treating obesity through education on controlling eating and increasing exercise have largely failed beyond the very short term, a more intensive focus on psychosocial correlates of those weight-loss behaviors has been suggested. Multiple behavioral theories incorporate self-regulation, self-efficacy, and mood; however, their interrelations and effects over both the short and long term within cognitive-behavioral obesity treatments remain unclear. Within a novel community-based program with women with obesity who had either low (n = 29) or high (n = 71) mood disturbance scores, there were significant improvements in exercise- and eating-related self-regulation and eating-related self-efficacy-primary targets of that intervention-with no significant difference in those changes by mood disturbance grouping. Changes in the summed exercise- and eating-related self-regulation scores significantly mediated relationships between changes in eating-related self-efficacy and weight (over both 6 and 12 months). There were similar results with mediation assessed via the extent exercise-related self-regulation carried over to eating-related self-regulation. In both of those models a reciprocal relationship between self-regulation and self-efficacy changes was indicated. In serial multiple mediation equations, paths of changes in exercise-related self-regulation → eating-related self-regulation → eating-related self-efficacy → weight were significant. However, paths were not significant when change in self-efficacy was entered as the predictor (initial) variable. Findings suggest viability in first focusing on exercise-related self-regulation, then eating-related self-regulation, in the course of increasing self-efficacy and probabilities for inducing enough sustained weight loss to improve obesity-associated health risks. Benefits of field-based research findings generalizing to weight-management applications were suggested.

The purpose of this study was to: (1) compare the relative efficacy of different combinations of three behavioral intervention strategies (i.e., personalized reminders, financial incentives, and anchoring) for establishing physical activity habits using an mHealth app and (2) to examine the effects of these different combined interventions on intrinsic motivation for physical activity and daily walking habit strength. A four-arm randomized controlled trial was conducted in a sample of college students (N = 161) who had a self-reported personal wellness goal of increasing their physical activity. Receiving cue-contingent financial incentives (i.e., incentives conditional on performing physical activity within ± one hour of a prespecified physical activity cue) combined with anchoring resulted in the highest daily step counts and greatest odds of temporally consistent walking during both the four-week intervention and the full eight-week study period. Cue-contingent financial incentives were also more successful at increasing physical activity and maintaining these effects post-intervention than traditional non-cue-contingent incentives. There were no differences in intrinsic motivation or habit strength between study groups at any time point. Financial incentives, particularly cue-contingent incentives, can be effectively used to support the anchoring intervention strategy for establishing physical activity habits. Moreover, mHealth apps are a feasible method for delivering the combined intervention technique of financial incentives with anchoring.

Type 2 diabetes (T2D) is a chronic metabolic disorder characterized by impaired glucose regulation. This study aimed to compare the effectiveness of Acceptance-Based Emotion Regulation Therapy (ABERT) and Acceptance and Commitment Therapy (ACT) on HbA1c levels and self-care behaviors in patients living with T2D. Participants were randomly assigned to ABERT (n = 16), ACT (n = 17), and control (n = 17) groups. The treatment groups received therapy based on treatment manuals, while the control group received treatment as usual (i.e., standard medical treatment). Assessments were conducted pre- and post-treatment, with a six-month follow-up, measuring HbA1c levels and self-care behaviors. Results from repeated-measures ANOVAs and post-hoc analysis demonstrated that both ABERT and ACT led to significant improvements compared to the control group. However, ABERT was more effective than ACT in reducing HbA1c levels and enhancing self-care behaviors, with sustained benefits observed in the long term. At the individual level, a higher percentage of participants in the ACT and ABERT groups experienced a global improvement in HbA1c compared to the control group during the post-test assessment. Furthermore, a higher percentage of participants in the ABERT group showed global improvement compared to both the ACT and control groups in the post-test to follow-up period. No statistically significant differences in self-care behaviors were observed between the groups at the individual level. These findings suggest that the ABERT may be a valuable intervention for individuals living with T2D, though more studies are needed to examine this subject.

Based on the signaling hypothesis of blood glucose (BG), a rise in BG levels signals a positive energy budget for healthy individuals but cellular starvation for individuals with type 1 diabetes. We examined this novel prediction and its intervention implications in the context of delay discounting, the degree to which delayed rewards are discounted, and the regulatory effects of insulin ingestion. We recruited 44 adults with type 1 diabetes (mean age 30.8 years, diabetes duration 15.4 years) and recorded their BG levels. The delay discounting rate was measured using the intertemporal choice task, where participants were required to choose between sets of smaller-and-sooner (SS) and larger-and-later (LL) rewards. In addition, 82 age-matched healthy participants were recruited to provide a baseline comparison on delay discounting. Random forest analysis showed that among many diagnostic factors, delay discounting was most dominating in differentiating the individuals with type 1 diabetes from the control participants. A hierarchical linear mixed model revealed that participants with type 1 diabetes had a stronger preference for SS rewards (p < .001) after controlling for covariates. Participants who had insulin delivered before the last meal exhibited a stronger preference for LL rewards compared to after-meal delivery. In contrast, subjective measures (e.g., self-reported hunger) failed to predict the participants' actual BG levels and delay discounting rates. In sum, individuals with type 1 diabetes tend to discount future rewards excessively compared to the control participants. Pre-meal insulin ingestion was associated with a higher LL preference for future rewards.

Research has pointed to myriad cultural and socio-psychological factors associated with HIV testing, such as acculturation, social norms about HIV testing, masculinity, homonegativity, and constructs from the Theory of Planned Behavior. However, the interrelationships of these factors on the intentions of HIV testing among the population of Asian American men remains unknown. A dataset of 425 Asian American men in the U.S., collected online with convenience sampling method during 2020-2021, was analyzed to test a conceptual framework that aimed to fill this gap. Results from a path model with two endogenous variables (homonegativity and HIV testing intention) indicated that perceived social norms about HIV testing, attitude about HIV testing, and perceived HIV risk had directandindirect relationships with the intentions of HIV testing in the study population. However, social norms about HIV testing and perceived HIV risk showed stronger direct effects (standardized estimates = 0.37 and 0.34, respectively, p-value < 0.001). Additionally, we found that the relationships of these factors with HIV testing intention were also mediated by homonegativity. Findings from this study advance our understanding of pathways of associations between a host of cultural and socio-psychological factors with HIV testing intention among an understudied population - Asian American men. Our results will help inform the development of future intervention programs to increase HIV testing in this population.

The research that links excessive screen time to adverse health outcomes is based on self-reported screen use. Few studies have documented how passively-sensed smartphone and app use relate to health behaviors like activity and sitting. Furthermore, they have not considered that daily fluctuations in smartphone/app use may have different relationships to these behaviors than a person's usual smartphone/app use. This study evaluated whether physical activity or sedentary (sitting) behavior are associated with either smartphone screen time or specific smartphone app use by adolescents and young adults during the COVID-19 pandemic. Adolescents and young adults aged 13-29 years wore activPAL4 micro activity monitors while their smartphones logged daily screen time and app use durations for nine days. Data were collected in 2020-2021 and analyzed in 2022-2023. Participants (N = 125) had a mean (SD) age of 19.7 (4.3) years. Participants' usual smartphone screen time was negatively associated with daily step counts. Daily deviations in smartphone screen time were negatively associated with daily step counts and moderate-vigorous physical activity durations. Time spent on Instagram, YouTube and, to a lesser extent, TikTok were linked with reduced activity levels. Daily sedentary behavior was not associated with usual or daily screen time. Interventions to promote physical activity during the transition into adulthood may benefit from limiting excessive smartphone screen time. Specific intervention targets could include limiting use of apps with infinite scrolling feeds algorithmically tuned to maintain user engagement, such as Instagram, YouTube and TikTok.

Background: Little work has examined how coping efficacy and lung cancer-related social isolation relate to social well-being in the context of a patient's computed tomography (CT) scan. Researchers tested the cross-sectional relationship of social isolation and social well-being, and the longitudinal relationship between coping efficacy and social well-being before CT scans.

Method: 25 patients with lung cancer, within 6 months of their upcoming CT scan, participated. Baseline surveys collected clinical information, demographics, and social isolation; repeated monthly surveys collected coping efficacy and social well-being every 30 days until one's scan.

Results: [Cross-sectional] High levels of social isolation were associated with low levels of social well-being. [Longitudinal] On months patients reported high coping efficacy, they also reported increases in social well-being.

Conclusions: Social interventions may improve well-being among those with lung cancer as our work shows that getting and receiving support are strongly related to well-being in the time surrounding a scan.

Childhood adversity is linked to psychological, behavioral, and physical health problems, including obesity and cardiometabolic disease. Epigenetic alterations are one pathway through which the effects of early life stress and adversity might persist into adulthood. Epigenetic mechanisms have also been proposed to explain why cardiometabolic health can vary greatly between individuals with similar Body Mass Index (BMIs). We evaluated two independent cross-sectional cohorts of adults without known medical illness, one of which explicitly recruited individuals with early life stress (ELS) and control participants (n = 195), and the other a general community sample (n = 477). In these cohorts, we examine associations between childhood adversity, epigenetic aging, and metabolic health. Childhood adversity was associated with increased GrimAge Acceleration (GAA) in both cohorts, both utilizing a dichotomous yes/no classification (both p < 0.01) as well as a continuous measure using the Childhood Trauma Questionnaire (CTQ) (both p < 0.05). Further investigation demonstrated that CTQ subscales for physical and sexual abuse (both p < 0.05) were associated with increased GAA in both cohorts, whereas physical and emotional neglect were not. In both cohorts, higher CTQ was also associated with higher BMI and increased insulin resistance (both p < 0.05). Finally, we demonstrate a moderating effect of BMI on the relationship between GAA and insulin resistance where GAA correlated with insulin resistance specifically at higher BMIs. These results, which were largely replicated between two independent cohorts, suggest that interactions between epigenetics, obesity, and metabolic health may be important mechanisms through which childhood adversity contributes to long-term physical and metabolic health effects.