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Objective: This study experimentally tested whether coach access to participants' digital self-monitoring data improved behavioral weight-loss outcomes., Methods: Participants (N = 322) received 12 weeks of group-based behavioral weight-loss sessions via videoconference and were instructed to engage in daily self-monitoring of weight, physical activity (PA), and dietary intake. For participants who were randomly assigned to Coach Share ON (n = 161), coaches regularly accessed a web-based portal that displayed data from the participants' scale, PA sensor, and food record., Results: Weight loss at 12 weeks was significantly greater in Coach Share ON versus OFF (6.2% vs. 5.3%; p = 0.04). Self-monitoring of PA (98.70% vs. 97.40% of days; p = 0.006) and eating (98.05% vs. 93.51% of days; p = 0.007) was more frequent in Coach Share ON versus OFF. There were no significant differences by condition in PA (p = 0.57), attendance (p = 0.42), working alliance (p = 0.62), or self-monitoring of weight (p = 0.12). Perceived supportive accountability was significantly greater in Coach Share ON versus OFF (p < 0.001)., Conclusions: The short-term efficacy of behavioral weight loss was greater when coaches had direct access to self-monitoring device data. Notably, there also was no evidence of iatrogenic effects of data sharing., (© 2024 The Obesity Society.)

The field of behavioral medicine has a long and successful history of leveraging digital health tools to promote health behavior change. Our 2019 summary of the history and future of digital health in behavioral medicine (Arigo in J Behav Med 8: 67-83, 2019) was one of the most highly cited articles in the Journal of Behavioral Medicine from 2010 to 2020; here, we provide an update on the opportunities and challenges we identified in 2019. We address the impact of the COVID-19 pandemic on behavioral medicine research and practice and highlight some of the digital health advances it prompted. We also describe emerging challenges and opportunities in the evolving ecosystem of digital health in the field of behavioral medicine, including the emergence of new evidence, research methods, and tools to promote health and health behaviors. Specifically, we offer updates on advanced research methods, the science of digital engagement, dissemination and implementation science, and artificial intelligence technologies, including examples of uses in healthcare and behavioral medicine. We also provide recommendations for next steps in these areas with attention to ethics, training, and accessibility considerations. The field of behavioral medicine has made meaningful advances since 2019 and continues to evolve with impressive pace and innovation., (© 2024. The Author(s).)

Background: Although regular physical activity (PA) mitigates the risk for cardiovascular disease (CVD) during midlife, existing PA interventions are minimally effective. Harnessing social influences in daily life shows promise: digital micro-interventions could effectively engage these influences on PA and require testing., Purpose: This feasibility study employed ecological momentary assessment with embedded micro-randomization to activate two types of social influences (i.e., comparison, support; NCT04711512)., Methods: Midlife adults (N = 30, MAge = 51, MBMI = 31.5 kg/m2, 43% racial/ethnic minority) with ≥1 CVD risk conditions completed four mobile surveys per day for 7 days while wearing PA monitors. After 3 days of observation, participants were randomized at each survey to receive 1 of 3 comparison micro-interventions (days 4-5) or 1 of 3 support micro-interventions (days 6-7). Outcomes were indicators of feasibility (e.g., completion rate), acceptability (e.g., narrative feedback), and potential micro-intervention effects (on motivation and steps within-person)., Results: Feasibility and acceptability targets were met (e.g., 93% completion); ratings of micro-intervention helpfulness varied by intervention type and predicted PA motivation and behavior within-person (srs=0.16, 0.27). Participants liked the approach and were open to ongoing micro-intervention exposure. Within-person, PA motivation and behavior increased from baseline in response to specific micro-interventions (srs=0.23, 0.13), though responses were variable., Conclusions: Experimental manipulation of social influences in daily life is feasible and acceptable to midlife adults and shows potential effects on PA motivation and behavior. Findings support larger-scale testing of this approach to inform a digital, socially focused PA intervention for midlife adults., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Objective: To examine associations between sleep disturbance, social support, and social comparison among midlife and older adults, including the moderating role of gender., Methods: Adults ages ≥40 years ( N  = 557, MAge  = 57, 53% men) completed a cross-sectional survey including validated measures of sleep disturbance, perceptions of social support, and social comparison orientation., Results: Sleep disturbance was negatively associated with social support ( r s = -0.42 to - 0.33, p s = 0.001) and associations were stronger for men than women - particularly perceived support from friends ( η 2  = 0.01). Sleep disturbance was also associated with upward comparison orientation ( r  = 0.12, p  = 0.003), more strongly for women than men ( η 2  = 0.01)., Discussion: Findings indicate that perceived support from friends (for men) and upward comparison (for women) may have particular influence on sleep among midlife and older adults. Additional work is needed to clarify the nature of these associations and their mechanism(s) of action, to inform potential treatment adaptations for this population., Competing Interests: No potential conflict of interest was reported by the author(s)., (© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)

Objective: Engaging a support partner during behavioral weight loss (BWL) programs can improve outcomes. However, little information is available about those selected as support partners. The study aimed to (1) characterize support partners and qualities of the relationship, (2) assess differences in relationship dynamics across relationship types, and (3) assess differences in supportive relationships by participant gender., Methods and Measures: Upon entering a 24-month BWL program, participants ( N  = 323) nominated a support person from their existing social networks. Participants completed self-report measures at baseline, including the Working Alliance Inventory and study-specific measures assessing characteristics of the support person and comfort in communicating with them., Results: Spouse/partners were chosen by 43.3% of all participants. Among married participants, 80.9% of men and 53.8% of women chose their spouse/partner. Working alliance was lower when the support partner was a spouse/partner versus a friend ( p  < 0.05, r  = -0.19). Comfort talking about exercise with a support partner was higher than talking about eating or weight ( p  < 0.001, η 2 p = 0.05)., Conclusion: A variety of friends and family can be selected as support partners during BWL. Programs should attend to the unique needs of men versus women when identifying sources of support.

Women age 40-60 are disproportionately affected by health problems that increase their risk for cardiovascular disease (CVD; e.g. hypertension). Social comparisons (i.e. self-evaluations relative to others) are known to influence health in this and other groups, but their nature and consequences in daily life are poorly understood. We conducted an ecological momentary assessment study over 10 days (5x/day) with 75 women ages 40-60 who had ≥1 CVD risk conditions (M Age  = 51.6 years, M BMI  = 34.0 kg/m 2 ). Using a mix of frequentist and Bayesian analytic approaches, we examined characteristics of women's naturally occurring comparisons and tested predictions from the Identification/Contrast Model within-person (e.g. identifying with an upward target results in positive affect, whereas contrasting results in negative affect). Comparisons occurred at 21% of moments, with considerable within-person variability in response. In line with predictions from the Identification/Contrast Model, women were more likely to experience positive affect after upward identification or downward contrast and more likely to experience negative affect after upward contrast or downward identification, though observed nuances warrant additional consideration. Overall, findings support the Identification/Contrast Model to describe women's comparison experiences as they occur in daily life. Future work should determine pathways between the immediate consequences of comparisons and longer-term health outcomes., (© 2024 The Authors. Applied Psychology: Health and Well‐Being published by John Wiley & Sons Ltd on behalf of International Association of Applied Psychology.)

Background: Barriers to attending in-person lifestyle interventions are common during pregnancy. The majority of young adults use Instagram, and pregnancy-related content abounds on this social media platform. The aims of this study were to assess interest in an Instagram-delivered gestational weight gain (GWG) intervention, examine characteristics associated with program interest, describe interest in specific program components, and to explore perceived advantages of and concerns about the proposed intervention., Methods: English-speaking pregnant women with pre-pregnancy overweight or obesity in the US who use Instagram completed a cross-sectional online survey (N=229). Participants reported interest in a proposed Instagram-delivered GWG intervention (very/quite a bit versus somewhat/a little bit/not at all interested), demographics, and Instagram use habits. Characteristics associated with program interest were examined using logistic regression models. Responses to open-ended questions about program likes and concerns were content-analyzed., Results: Thirty-four percent were very or quite a bit interested in an Instagram-delivered GWG intervention, and women with children, those who were more extraverted, and those with greater engagement on Instagram were more likely to report interest. Among participants with high program interest, 63-95% were interested in specific intervention components and 52-82% were willing to engage in different aspects of the intervention. Participants liked the potential for information, peer support, convenience, and accountability, but reported concerns about privacy/confidentiality, social pressure, time required, and negative psychological consequences., Conclusions: Fostering a positive, supportive group culture may be key to leveraging Instagram to deliver a GWG intervention., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://mhealth.amegroups.com/article/view/10.21037/mhealth-23-43/coif). All authors report that this project was supported by Faculty/Research Seed Grant from the Institute for Collaboration on Health, Intervention, and Policy (InCHIP) at the University of Connecticut (PI: M.E.W.). Additional support for this manuscript was provided by National Institute of Health (NIH) grants K23HL136657 (PI: D.A.) and K24HL124366 (PI: S.L.P.). M.E.W. is currently a Co-Investigator on a University of Connecticut Clinical Research and Innovation Seed Program (CRISP) related to a lifestyle intervention for pregnant persons with gestational diabetes mellitus; this grant did not provide support for the work reported in this manuscript. S.L.P. has received consulting fees from WW International for being a scientific advisor. The authors have no other conflicts of interest to declare., (2024 mHealth. All rights reserved.)

Objectives: To estimate the extent of reactivity to measurement of physical activity (PA) and sedentary behavior among women in midlife with elevated risk for cardiovascular disease (CVD)., Design: Secondary analysis of a 10-day observational study of PA and sedentary behavior., Main Outcome Measures: PA (steps, minutes of light PA, total minutes of moderate-to- vigorous PA [MVPA]) and percent time in sedentary behavior per day were assessed using ActiGraph GT3X tri-axial accelerometers in 75 women in midlife with elevated CVD risk (e.g. hypertension; M Age = 51.61, M BMI = 34.02 kg/m 2 ). Two-level multilevel models were used to test for evidence of reactivity, with the addition of random effects to test for evidence of individual differences in observed trends., Results: All outcomes showed linear trends across days ( p s < 0.001), though this masked what appeared to be meaningful dropoff after Day 1 or Day 2 (with little difference between subsequent days; sr s ranging from 0.15 to 0.32). The random effect was significant only for percent time in sedentary behavior ( χ 2 [1] = 10.40, p  = 0.02)., Conclusions: Consistent small to medium effects were found for all PA and sedentary behavior outcomes, underscoring the importance of considering measurement reactivity in populations with elevated CVD risk.

During midlife (ages 40-60), women experience myriad changes that elevate their risk for cardiovascular disease (CVD), including decreased physical activity (PA). Women cite lack of social support for PA and lack of active peers who can serve as role models as key barriers. Digital tools such as web applications can provide exposure to these social inputs; they are also accessible in daily life and require modest time investment. However, as few tools have been designed to meet the unique needs of women in midlife with CVD risk, our research team previously built a web application that is tailored for this population. In the present study, we used a convergent mixed methods design to develop a deep understanding of the feasibility, usability, and acceptability of this web application in a sample of identified end users. Participants ( N  = 27, M Age  = 53 years, M BMI  = 32.6 kg/m 2 ) used the web application at the start of each day for 7 days and completed a 1-hour qualitative interview at the end of this test period. Integration of findings from two-level multilevel models (quantitative) and thematic analysis (qualitative) indicated support for the feasibility, usability, and acceptability of the new web application among women in midlife with CVD risk conditions and identified critical opportunities for improving the user experience. Findings also speak to the utility of options for content selection that can meet women's needs in daily life and highlight women's desire for PA resources that prioritize their perspectives., Competing Interests: The authors declare that there is no conflict of interest. The Institutional Review Board at Rowan University approved this study (PRO-2021-422)., (© The Author(s) 2023.)

The goal of the present study was to examine naturalistic associations between body satisfaction and physical activity (PA) among women in midlife. Women 40-60 years of age with cardiovascular risk factors (e.g., hypertension; N = 75; Mage = 51.63) responded to five surveys per day for 10 days while accelerometer-derived PA measurements were collected continuously. PA parameters included cognitive determinants (PA motivation and intentions) and accelerometer-measured PA behavior (sedentary behavior, light-intensity PA, and moderate to vigorous PA). Multilevel models indicated that associations between body satisfaction and everyday PA differed across PA determinants, time frames (concurrent and prospective), and levels (momentary, daily, and person). For example, positive bidirectional associations were identified between women's daily body satisfaction and PA motivation, whereas greater momentary light-intensity PA (but not moderate to vigorous PA) was unidirectionally associated with greater body satisfaction at a subsequent prompt. These findings provide insight into how associations between body satisfaction and PA unfold in the daily lives of women in midlife and highlight the complexities of these associations.

Background: The overturning of Roe v. Wade in June 2022 has many implications for American women of reproductive age, as well as for researchers focused on women's health in the United States (U.S.). Personal reproductive health data, such as information collected by menstrual cycle (MC) tracking applications (apps), can now be bought, sold, or accessed by law enforcement to enforce limits on abortion. American women have grown concerned about data privacy and have even deleted MC tracking apps following the overturning of Roe v. Wade . This concern is problematic as these apps may advance our understanding of women's MC experiences by capturing time-sensitive data. The present study was designed to provide updated insight into women's perceptions of these apps, including the response rate to a study of this nature and women's willingness to self-report demographic information in this context, following the Supreme Court decision., Methods: A total of 206 women aged 18-60 years who were identified as pre- or perimenopausal completed an anonymous, cross-sectional survey between August and November 2022., Results: Most respondents had experience using a MC app at the time of reporting; 53.4% (n=110) were current users, and an additional 48 participants had used MC tracking apps in the past. Over one-third of participants (38.3%; n=75) indicated that they had reconsidered using such an app because of current events; 30.3% (n=59) preferred methods of MC tracking that did not involve app-based technology, and 34.2% (n=67) reported that they are not willing to participate in research that involves daily tracking of the MC., Conclusions: Overall, the feasibility of menstruation-related research that includes mobile apps is fairly low, given women's current comfort with this technology compared to the Roe era, and there is a need to establish criteria and protections for use of mobile apps in women's health research., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://mhealth.amegroups.com/article/view/10.21037/mhealth-23-31/coif). The authors have no conflicts of interest to declare., (2024 mHealth. All rights reserved.)

Purpose: Celiac disease and its treatment negatively impact quality of life, indicating potential need for measurement of disease-specific quality of life domains to inform interdisciplinary intervention. The Celiac Disease Quality of Life Survey (CD-QOL) has been used in clinical research; however, its factor structure has not been confirmed and psychometric properties have not been evaluated in English-speaking adults in the U.S., Aims: (1) Confirm the factor structure of the 20-item English CD-QOL; (2) assess psychometric properties including internal consistency reliability, convergent validity, known groups validity, and incremental validity., Methods: 453 adults with self-reported Celiac disease (M age  = 40.57; 88% female; 92% White) completed the CD-QOL and validated measures of generic health-related quality of life (SF-36), gluten-free diet adherence (CDAT), anxiety and depression symptoms (PROMIS), and physical symptoms (CSI) as part of the iCureCeliac ® patient-powered research network., Results: Confirmatory factor analysis found superior fit for a bifactor structure with one general factor and four group factors. Ancillary bifactor analyses suggest the CD-QOL can be considered primarily unidimensional. Total and three subscale scores demonstrated acceptable internal consistency reliability. Convergent and known groups validity were supported. The CD-QOL demonstrated some incremental validity over the SF-36., Conclusion: The English CD-QOL can be used as a measure of disease-specific quality of life among adults with Celiac disease in the U.S. Compared to generic instruments, the CD-QOL appears to better capture specific cognitive and affective aspects of living with Celiac disease. Use of a total score is recommended. Its utility as a screening and outcome measurement tool in clinical settings should be examined., (© 2023. The Author(s).)

Background: Participants in behavioral weight loss (BWL) programs increasingly use digital tools to self-monitor weight, physical activity, and dietary intake. Data collected with these tools can be systematically shared with other parties in ways that might support behavior change., Methods: Adults age 18 to 70 with overweight/obesity (BMI 27-50 kg/m 2 ) will enroll in a remotely delivered, 24-month BWL program designed to produce and maintain a 10% weight loss. Participants will be asked to use a wireless body weight scale, wearable activity sensor, and dietary intake app daily. All participants will receive individual and group counseling, engage in text messaging with members of their group, and appoint a friend or family member to serve in a support role. A 2x2x2 factorial design will test the effects of three types of data sharing partnerships: 1) Coach Share: The behavioral coach will regularly view digital self-monitoring data and address data observations. 2) Group Share: Participants will view each other's self-monitoring data in small-group text messages. 3) Friend/Family Share: A friend or family member will view the participant's data via automated message. The primary outcome is weight loss at 24 months. Mediators and moderators of intervention effects will be tested., Conclusion: This study will provide a clear indication of whether data sharing can improve long-term weight loss. This study will be the first to discern the mechanisms of action through which each type of data sharing may be beneficial, and elucidate conditions under which the benefits of data sharing may be maximized., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests that could have influenced this work., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Objective: To examine distinct types of social comparisons (i.e. self-evaluations relative to others) in behavioural weight loss groups and their relations with weight loss maintenance., Design: Participants ( N  = 127, M BMI = 35.66 kg/m 2 ) reported on their comparisons at mid-treatment (6 months), including identification of their primary individual comparison target (group member) and perceptions of their own treatment adherence versus that of their group and identified target., Main Outcome Measures: Weight was assessed at baseline, mid-treatment, end-of-treatment (12 months), and 18- and 24-month follow-ups., Results: Comparisons with individual targets perceived as more successful with weight loss were most frequent (i.e. upward comparisons), though comparisons differed based on group versus individual targets and specific treatment behaviours (e.g. self-monitoring). Comparisons did not align with participants' own treatment progress, suggesting that comparisons reflect more than just their objective weight loss relative to others. Relations between participants' initial weight loss and maintenance was moderated by the type of individual target identified at mid-treatment ( p  = 0.02, sr  = 0.27)., Conclusions: Social comparisons in group-based weight loss treatment are multifaceted and predict long-term weight loss maintenance. Additional work is needed to determine how best to harness comparison processes to promote success in behavioural weight loss treatment.

Background: Innovative approaches are needed to understand barriers to and facilitators of physical activity among insufficiently active adults. Although social comparison processes (ie, self-evaluations relative to others) are often used to motivate physical activity in digital environments, user preferences and responses to comparison information are poorly understood., Objective: We used an iterative approach to better understand users' selection of comparison targets, how they interacted with their selected targets, and how they responded to these targets., Methods: Across 3 studies, different samples of insufficiently active college students used the Fitbit system (Fitbit LLC) to track their steps per day as well as a separate, adaptive web platform each day for 7 to 9 days (N=112). The adaptive platform was designed with different layouts for each study; each allowed participants to select their preferred comparison target from various sets of options, view the desired amount of information about their selected target, and rate their physical activity motivation before and after viewing information about their selected target. Targets were presented as achieving physical activity at various levels below and above their own, which were accessed via the Fitbit system each day. We examined the types of comparison target selections, time spent viewing and number of elements viewed for each type of target, and day-level associations between comparison selections and physical activity outcomes (motivation and behavior)., Results: Study 1 (n=5) demonstrated that the new web platform could be used as intended and that participants' interactions with the platform (ie, the type of target selected, the time spent viewing the selected target's profile, and the number of profile elements viewed) varied across the days. Studies 2 (n=53) and 3 (n=54) replicated these findings; in both studies, age was positively associated with time spent viewing the selected target's profile and the number of profile elements viewed. Across all studies, upward targets (who had more steps per day than the participant) were selected more often than downward targets (who had fewer steps per day than the participant), although only a subset of either type of target selection was associated with benefits for physical activity motivation or behavior., Conclusions: Capturing physical activity-based social comparison preferences is feasible in an adaptive digital environment, and day-to-day differences in preferences for social comparison targets are associated with day-to-day changes in physical activity motivation and behavior. Findings show that participants only sometimes focus on the comparison opportunities that support their physical activity motivation or behavior, which helps explain previous, equivocal findings regarding the benefits of physical activity-based comparisons. Additional investigation of day-level determinants of comparison selections and responses is needed to fully understand how best to harness comparison processes in digital tools to promote physical activity., (©Danielle Arigo, Robert C Gray, Diane H Dallal, Jennifer Villareale, Jichen Zhu. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 27.02.2023.)

Background: Risk for cardiovascular disease is particularly high among women in midlife (ages 40-60). Moderate-to-vigorous-intensity physical activity (PA) can protect against risk during this time, and research is needed to understand contributors to PA motivation and behavior in daily life., Purpose: This study used ecological momentary assessment to examine: (a) within-person associations between social interactions (both quantity and quality) and PA outcomes (motivation and behavior) among women in midlife, and (b) variability in within-person associations across days., Methods: Women ages 40-60 with one or more cardiovascular disease risk conditions (e.g., hypertension; n = 75; MAge = 51.6 years, MBMI = 34.0 kg/m2) wore waistband accelerometers and completed five surveys per day for 10 days., Results: Controlling for social interactions overall, at times when women reported a higher number of positive interactions, they reported higher PA motivation; this association was negative for both the number and valence of negative interactions. At times when women experienced a higher number of interactions overall, they engaged in fewer subsequent minutes of moderate-to-vigorous-intensity PA, though reports of positive and negative interactions were not associated with moderate-to-vigorous-intensity PA behavior. Importantly, the direction of these within-person associations differed between days of observation (positive associations on ~50% of days and negative associations on ~50% of days)., Conclusions: Findings show that social interactions influence PA motivation and behavior among women in midlife but that these influences are inconsistent, suggesting the need for careful consideration of how to engage social interactions to promote PA in this group., (© Society of Behavioral Medicine 2022. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To examine the pain experiences of women in midlife with existing health conditions, including changes from prior to the COVID-19 pandemic through the first 6 months of the crisis., Design: Women ages 40-60 with health conditions (e.g., hypertension; N  = 35, M BMI = 32.2 kg/m 2 ) were prompted to complete 5 surveys per day for 5 days at 3 time points: pre-COVID-19, during stay-at-home orders, and at initial reopening., Main Outcome Measures: Pain occurrence (yes/no), number of locations, and intensity., Results: Women reported pain at 35% of surveys, particularly after waking and before bed compared to the middle of the day. The occurrence of pain decreased over time, whereas pain intensity decreased between pre-COVID-19 and stay-at-home orders but then remained stable. The number of pain locations decreased between stay-at-home orders and reopening, and pain was more variable during the pandemic than prior to its onset ( sr s = 0.24-0.32)., Conclusion: Women experienced decreased pain frequency and intensity from prior to during the COVID-19 pandemic, though pain was less predictable during (vs. prior to) the pandemic. This information may be useful for informing care in this at-risk group, to prevent the development of chronic pain.

Cardiovascular disease (CVD) remains the leading cause of death among women. During midlife (ages 40-60), universal aging processes, sex-specific factors such as menopause, psychological distress, and conditions such as hypertension substantially increase women's risk for CVD. The onset of the COVID-19 pandemic has impacted employment, social interactions, caregiving responsibilities, and overall well-being worldwide; however, little research has investigated how COVID-19 has affected women in midlife. The present study was designed to determine how COVID-19 has affected women in midlife with elevated risk for CVD, by examining changes in their mental health symptoms and life domains across three time points: prior to COVID-19 (2019), during stay-at-home orders (April-June 2020), and during initial reopening (August 2020). Women in midlife with one or more CVD risk conditions (e.g., hypertension; n = 35) responded to questions related to COVID-19, changes in life circumstances, and mental health symptoms at each time point. Findings showed meaningful changes in caregiving, medical visits, and employment status, as well as significant changes in depression and sleep quality scores across time. However, the findings also showed that women were distressed prior to COVID-19 and did not exhibit changes in perceived stress, body dissatisfaction, or anxiety symptoms over time. Findings from this study highlight the impact of the COVID-19 pandemic on an at-risk group of women, which may be used to help guide future health promotion efforts specifically tailored to this population.

Background: Women in midlife are vulnerable to developing cardiovascular disease, particularly those who have conditions such as hypertension. Physical activity (PA) can reduce risk, but efforts to promote PA in this population have been only modestly effective. More attention to social influences on PA behavior may be useful, particularly social support and social comparison processes. Activating these processes with digital tools can provide easy access that is flexible to the needs of women in midlife., Objective: This paper describes the user-centered design processes of developing and conducting initial evaluation of a personalized and adaptive web application, tailored to the social needs of women in midlife. The goal was to gather feedback from the population of interest, before and during the design process., Methods: This study was conducted in 4 stages. The first and second authors (DA and AFL) developed technical specifications, informed by their experience with the population of interest. We collected feedback on potential content for the web application with women in midlife using both interviews (5/10, 50%; mean age 47.4, SD 6.66 years; mean BMI 35.3, SD 9.55 kg/m 2 ) and surveys (5/10, 50%; mean age 51, SD 6.60 years; mean BMI 32.7, SD 8.39 kg/m 2 ). We used their feedback to inform support messages and peer profiles (ie, sources of social comparison information). Nine members of the behavioral science team and 3 testers unfamiliar with the web application completed internal testing. We conducted naturalistic functionality testing with a different group of women in midlife (n=5; mean age 50, SD 6.26 years; mean BMI 30.1, SD 5.83 kg/m 2 ), who used the web application as intended for 4 days and provided feedback at the end of this period., Results: Iterative storyboard development resulted in programming specifications for a prototype of the web application. We used content feedback to select and refine the support messages and peer profiles to be added. The following 2 rounds of internal testing identified bugs and other problems regarding the web application's functioning and full data collection procedure. Problems were addressed or logged for future consideration. Naturalistic functionality testing revealed minimal further problems; findings showed preliminary acceptability of the web application and suggested that women may select different social content across days., Conclusions: A multidisciplinary and user-centered design approach led to a personalized and adaptive web application, tailored to the social needs of women in midlife. Findings from testing with this population demonstrated the feasibility and acceptability of the new application and supported further development toward its use in daily life. We describe several potential uses of the web application and next steps for its development. We also discuss the lessons learned and offer recommendations for future collaborations between behavioral and computer scientists to develop similar tools., (©Danielle Arigo, Andrea F Lobo, M Cole Ainsworth, Kiri Baga, Kristen Pasko. Originally published in JMIR Formative Research (https://formative.jmir.org), 26.07.2022.)

Background: Digital tools may help to address social deficits in schizophrenia, particularly those that engage social comparison processes (ie, evaluating oneself relative to others). Yet, little is known about social comparison processes in schizophrenia or how best to capture between- versus within-person variability, which is critical to engaging comparisons in digital interventions., Objective: The goals of this pilot study were to (1) better understand affective responses to social comparisons among individuals with schizophrenia, relative to healthy controls, using a validated global self-report measure; and (2) test a new brief, mobile assessment of affective responses to social comparison among individuals with schizophrenia, relative to the full measure. This study was conducted in 2 phases., Methods: We first compared self-reported affective responses to social comparisons between individuals with schizophrenia (n=39) and healthy controls (n=38) using a traditional self-report measure, at 2 time points. We examined the temporal stability in responses and differences between groups. We then evaluated the performance of brief, mobile assessment of comparison responses among individuals with schizophrenia, completed over 12 weeks (n=31)., Results: Individuals with schizophrenia showed greater variability in affective responses to social comparison than controls on traditional measures and completed an average of 7.46 mobile assessments over 12 weeks. Mobile assessments captured within-person variability in affective responses in the natural environment (intraclass correlation coefficients of 0.40-0.60). Average scores for mobile assessments were positively correlated with responses to traditional measures., Conclusions: Affective responses to social comparison vary both between and within individuals with schizophrenia and capturing this variability via smartphone surveys shows some evidence of feasibility. As affective variability is a potential indicator of poor outcomes among individuals with mental health conditions, in the future, a brief, mobile assessment of affective responses to social comparisons may be useful for screening among individuals with schizophrenia. Further research on this process is needed to identify when specific comparison messaging may be most effective in digital interventions and could suggest new therapeutic targets for illnesses such as schizophrenia., (©Danielle Arigo, John Torous. Originally published in JMIR Formative Research (https://formative.jmir.org), 02.05.2022.)

Engaging in moderate-to-vigorous intensity physical activity (MVPA) is important for protecting cardiovascular health among women in midlife (i.e., ages 40-60), particularly if they have already developed conditions that increase their risk for cardiovascular disease (e.g., hypertension). Although the gap between MVPA intentions and behavior is well documented in other populations, little is known about the intention-behavior gap in this at-risk group - particularly as it plays a role in daily life. The present study employed an ecological momentary assessment design to examine the relation between women's MVPA intentions and behavior in the subsequent 3 hours, as well as momentary moderators of this relation (i.e., affective states and body satisfaction). Surveys sent to women's smartphones 5 times per day for 10 days while they wore ActiGraph GT3X waistband accelerometers. Women achieved their exercise intentions at only 13% of occasions on which they set intentions. Although the most common intended exercise was walking, women engaged in more minutes of MVPA after setting intentions to do yoga or Pilates than any other type of exercise ( sr = 0.25). Multilevel models showed a modest within-person relation between minutes of intended MVPA and observed MVPA in the next 3 hours ( sr = 0.20). This relation was moderated within-person by the reported extent of positive affect (particularly contentment) and body satisfaction ( sr s = 0.35 and 0.28, respectively). Findings extend knowledge about the physical activity intention-behavior gap to an at-risk population of women and identify positive affect and body satisfaction as potential contextual influences for this group, which could inform improvements to existing interventions (e.g., delivering intervention content at times with lower-than-usual body satisfaction)., Competing Interests: Declarations of interest: None.

The current set of within-subject, single-case design studies examined how exposure to social comparison information may impact physical activity in sedentary individuals. In Study 1, participants ( N  = 6) were exposed to two Fitbit challenges, one with a physically active confederate and another with a sedentary confederate. Each challenge phase lasted 7 days, during which participants were able to compare their daily steps to the assigned confederate on a ranked leaderboard, received notifications if their cumulative steps were surpassed by the confederate, and a notification indicating if they won at the conclusion of each challenge (i.e., active confederate in challenge one then sedentary confederate in challenge two, or vice versa). Study 2 replicated the procedures used in Study 1 but controlled for the distance between confederate and participant daily steps ( N  = 4). In Study 3, participants ( N  = 4) were exposed to the same confederate twice to evaluate potential order effects. Results showed that physical activity increased for most participants, but the direction and magnitude of effects differed across participants, challenge type, and order of confederate exposure. The factors producing differential responding to the Fitbit challenges, and the implications for future research on the effects of competition and social comparison on behavior, are discussed., Competing Interests: Conflict of InterestThe authors have no financial interests or non-financial interests to disclose., (© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.)

Digital technologies offer unique opportunities for health research. For example, Twitter posts can support public health surveillance to identify outbreaks (eg, influenza and COVID-19), and a wearable fitness tracker can provide real-time data collection to assess the effectiveness of a behavior change intervention. With these opportunities, it is necessary to consider the potential risks and benefits to research participants when using digital tools or strategies. Researchers need to be involved in the risk assessment process, as many tools in the marketplace (eg, wellness apps, fitness sensors) are underregulated. However, there is little guidance to assist researchers and institutional review boards in their evaluation of digital tools for research purposes. To address this gap, the Digital Health Checklist for Researchers (DHC-R) was developed as a decision support tool. A participatory research approach involving a group of behavioral scientists was used to inform DHC-R development. Scientists beta-tested the checklist by retrospectively evaluating the technologies they had chosen for use in their research. This paper describes the lessons learned because of their involvement in the beta-testing process and concludes with recommendations for how the DHC-R could be useful for a variety of digital health stakeholders. Recommendations focus on future research and policy development to support research ethics, including the development of best practices to advance safe and responsible digital health research., (©Rebecca Bartlett Ellis, Julie Wright, Lisa Soederberg Miller, Danielle Jake-Schoffman, Eric B Hekler, Carly M Goldstein, Danielle Arigo, Camille Nebeker. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 22.12.2021.)

Although mindfulness-based stress reduction (MBSR) can improve health and well-being, less is known about factors that predict outcomes. This prospective observational study examined gender and baseline anxiety and sleep quality as predictors of change in emotion regulation and stress symptoms following an 8-week MBSR program. Women and men reported similar improvement in stress symptoms and cognitive reappraisal, whereas men improved more in emotion suppression. Individuals with higher anxiety and worse sleep pre-treatment benefited most in terms of decreased stress. Evaluating pre-treatment characteristics could help determine optimal candidates for MBSR training, and could optimize outcomes for both women and men.

Background: Ample evidence indicates that everyday perceptions of the social environment can affect health behaviors; these include social comparisons (i.e., self-evaluations compared to others) and positive versus negative social interactions. However, relations between social perceptions and healthy behaviors have received little attention among specific medical populations for whom an improved understanding of behavioral determinants could inform updates to tailored interventions. Research methods that capture and differentiate between stable, person-level differences and dynamic, within-person variability in these relations would be particularly useful, both for identifying their nature in daily life and informing improvements to tailored interventions., Methods: We conducted a series of three formative research studies to adapt and test the measures and instructions for an ecological momentary assessment (EMA) protocol with midlife women who had elevated risk for cardiovascular disease (CVD; e.g., current diagnosis of hypertension, type 2 diabetes). Study 1 involved a pilot test of initial EMA items, sent to participants' smartphones 5 times per day for 7 days (N=13; M Age =47, M BMI =33.7 kg/m 2 ), as well as brief exit interviews to identify points of confusion and suggestions for improvement. Study 2 used 1-hour, individual qualitative interviews with a new sample to elicit women's perceptions of revised items and identify additional opportunities for refinement (N=10, M Age =52, M BMI =29.8 kg/m 2 ). In Study 3, a new sample of participants completed 7 days of EMA with revised items and instructions (5 times per day; N=13, M Age =50, M BMI =33.4 kg/m 2 )., Results: Item performance in Study 3, including the frequencies of reporting social comparisons and interactions, was compared to that in Study 1 using multilevel modeling; these tests showed meaningful improvement in reporting patterns between Studies 1 and 3 (e.g., changes of d=0.33-0.75 where appropriate)., Conclusions: Together, findings from this series of studies demonstrate the utility of a multi-study approach to refining EMA methods for use with midlife women who have elevated CVD risk, which may generalize to other populations of interest., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/mhealth-20-143). The authors have no conflicts of interest to declare., (2021 mHealth. All rights reserved.)

Women in midlife (ages 40-60) show decreases in physical activity (PA) that exacerbate risk for cardiovascular disease. Social comparisons (i.e., self-evaluations relative to others) are known to influence PA in other groups, but their association in this population is unknown. The present study used ecological momentary assessment to examine this relation among women in midlife with hypertension or another CVD risk condition (N = 75, M BMI  = 34.0 kg/m 2 ). Participants completed 5 surveys per day and wore tri-axial accelerometers for 10 days. PA engagement was lower after women reported more comparisons than were typical for them (7-14% reductions in PA for each additional comparison). These relations varied across days of observation and relations were positive on 34-58% of days. Findings call for careful consideration of how best to harness any potential benefits of social comparison for promoting PA in this and other groups., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Information shared via social media influences college students' self-perceptions and behavior, particularly, "fitspiration" posts (ie, images of healthy food, people exercising, or fitness quotations). There are mixed findings regarding the mental health implications of fitspiration and its potential to motivate healthy behavior. Individual differences such as social comparison orientation and regulatory focus could aid in determining for whom fitspiration may be helpful versus harmful, though these characteristics have received limited attention in terms of students' fitspiration perceptions., Objective: This cross-sectional study examined associations between students' fitspiration use (ie, intentional versus unintentional exposure while using social media), response tendencies (ie, feelings about the self and motivation to be physically active), social comparison orientation, and regulatory focus., Methods: College students (N=344; 239/344, 69.5% women) completed an electronic survey in which they self-reported demographic information, the frequency of their social media use, exposure to fitspiration posts, typical feelings in response to fitspiration posts, and typical motivation for physical activity after viewing fitspiration posts. They also completed validated self-report measures of social comparison orientation and regulatory focus., Results: College students reported frequent exposure to fitspiration posts on social media and that they experienced negative feelings in response to these posts more often than positive feelings. Average motivation for physical activity was rated as feeling motivated "some of the time." However, students who reported more negative feelings after viewing fitspiration also reported greater motivation to be physically active after exposure. Associations between the frequency of intentional fitspiration use and motivation for physical activity after viewing fitspiration posts were moderated by social comparison orientation (b=-0.01, P=.03) but not by regulatory focus (b=-0.002, P=.67)., Conclusions: Negative feelings about the self may be motivating for students with weak social comparison orientation, as fitspiration may highlight a discrepancy between one's real and ideal self that does not prompt dejection or disengagement. However, negative feelings for prevention-focused students might not be as motivating because there are no salient negative models to avoid. Further research into these associations is warranted and could inform future efforts to promote student health and well-being during college., (©Kristen Pasko, Danielle Arigo. Originally published in JMIR Mental Health (https://mental.jmir.org), 15.09.2021.)

The popular #fitspiration trend on Instagram and other social media platforms is intended to inspire healthy living (particularly exercise engagement), though several studies have documented the negative effects of fitspiration-style posts on women's body satisfaction and mood. Pairing fitspiration images with text focused on self-compassion shows promise for buffering this effect and warrants additional attention. In particular, little is known about the benefit of self-compassion (vs. traditional) messaging for exercise motivation or engagement, and few studies have examined gender differences in these effects. The present study used an experimental design to test the differential effects of fitspiration posts paired with traditional messaging, self-compassion messaging, or no text (image-only control). College students (N = 655; 59% women, 64% Caucasian) were randomized to view gender-congruent stimuli on Instagram; they then completed self-report measures of body satisfaction and exercise motivation, and their attendance at campus fitness centers was tracked over the following 7 days (to capture exercise engagement). Neither the expected benefits of self-compassion (vs. traditional) messages for body satisfaction and exercise motivation nor the expected benefit of traditional (vs. self-compassion) messages for exercise engagement were observed. However, results of exploratory analyses suggest that, as predicted, self-compassion messaging may be optimal for promoting positive outcomes among women, whereas images without associated text may be optimal for promoting positive outcomes among men (Cohen's ds = 0.14-0.41). Findings from this study provide insight into potential methods for optimizing the fitspiration trend to promote healthy self-perceptions and exercise engagement during college., (© Society of Behavioral Medicine 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

#fitspiration is a popular social media trend for sharing fitness-related content. To date, however, it is not clear how best to harness the power of this trend to improve users' health, including how best to tailor its content. In this study, a cross-sectional survey assessed intentions and perceptions of users who host fitspiration accounts on Instagram ( n = 65), as well as young adult followers ( n = 270). Fitstagrammers and men (across user groups) preferred messaging about earning fitness, whereas followers and women (across user groups) preferred messaging about the benefits of exercise efforts. Both fitstagrammers and followers also noted that they experience both positive and negative feelings in response to fitspiration images, with followers and women reporting more frequent negative feelings (vs fitstagrammers and men, respectively). These findings can inform the use of fitspiration as a health promotion tool, particularly with respect to tailoring content to match user preferences.

Rationale: Change in BMI is recognized as a key health indicator among midlife and older adults, though predictors of BMI change in this group have received little attention., Objective: The aim of this study was to examine relations between hypothesized predictors (i.e., gender, cardiovascular disease [CVD] risk status, depressive symptoms, social support) and BMI change over 10 years, among midlife and older adults., Methods: Participants were adults ages 50-74 at baseline (N = 5,688, 64% women) who completed four assessments over 10 years. Gender, CVD risk status (i.e., diagnosis of hypertension, type 2 diabetes, or both), depressive symptoms, and perceived social support were assessed at baseline, and BMI was calculated from height and weight reports at all assessments. Multilevel models tested for concurrent and prospective relations between predictors and BMI change (effect size estimates as semipartial correlation coefficients, sr), as well as whether observed relations were further moderated by baseline BMI category (underweight, healthy weight, overweight, or obese)., Results: Baseline BMI was higher among those with (vs. without) CVD risk, higher (vs. lower) depressive symptoms, and lower (vs. higher) social support; all of these relations were moderated by gender (ps < 0.05, srs 0.03-0.32). Moreover, BMI showed significant change over 10 years, and BMI variability during this time was higher among women (vs. men) and those with (vs. without) CVD risk (ps < 0.0001). BMI change also differed by CVD risk status, and this relation was moderated by gender, baseline depressive symptoms, and baseline BMI category (ps < 0.05, srs 0.03-0.08)., Conclusions: Although the predictors of interest were not associated with steady BMI decreases (which are associated with long term health risks for older adults), findings reveal unique patterns of change in BMI among subgroups of midlife and older adults, and may allow for early identification of those with noteworthy BMI changes after age 50., (Published by Elsevier Ltd.)

Despite the large amounts of research currently being conducted and the high number of editorials warning about the potential mental health impacts, there is a stunning lack of longitudinal mental health data on the effects of the pandemic. Yet, the pandemic may have sizable long-term impacts on psychological distress and health behaviors-these effects may be long-lasting and may disproportionately affect some demographic groups more than others. Data came from a longitudinal international study of the impacts of the COVID-19 pandemic on adults' psychological distress and wellbeing (N = 1567). We found high rates of depression (55% were diagnosable with probable depression at baseline), anxiety (65%), and risk for PTSD (51%). More than one-third of participants who reported that they drank alcohol indicated that their drinking had increased since the start of the pandemic. Over time, depressive symptoms and suicidal thoughts and behaviors increased significantly, but acute stress symptoms decreased. Specific demographic groups (people of color and sexual and gender minorities) appeared to be at high risk of distress across analyses. Our findings suggest high rates of depression, anxiety, acute stress, and other signs of distress like isolation, hopelessness, and use of substances to cope-even at five-month follow-up. Our findings suggest a need to prioritize availability of, and access to, mental health care during both the pandemic and the recovery., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Women perform less physical activity (PA) than men, and this gap widens during college. This study examined college women's daily PA intentions and behavior, and whether social support or social comparison orientation (SCO) moderated the PA intention-behavior relation. College women (N = 80) completed measures of social support and SCO at baseline. For seven consecutive days, participants completed an electronic survey to assess PA intentions and wore an activity monitor to assess minutes of moderate-to-vigorous intensity physical activity (MVPA). Results indicated that intended and performed MVPA minutes were weakly related (p = 0.17, sr = 0.16). Social support did not moderate the intention-behavior relation, but SCO did (p = 0.04, sr = 0.21). Participants with stronger (vs. weaker) SCO, particularly a tendency to compare downward (i.e., to worse-off others), showed smaller discrepancies between intended and completed MVPA. College women frequently fail to achieve PA goals, but stronger tendencies to make (downward) social comparisons may minimize this gap and be a target for intervention.

Digital health promises to increase intervention reach and effectiveness for a range of behavioral health outcomes. Behavioral scientists have a unique opportunity to infuse their expertise in all phases of a digital health intervention, from design to implementation. The aim of this study was to assess behavioral scientists' interests and needs with respect to digital health endeavors, as well as gather expert insight into the role of behavioral science in the evolution of digital health. The study used a two-phased approach: (a) a survey of behavioral scientists' current needs and interests with respect to digital health endeavors (n = 346); (b) a series of interviews with digital health stakeholders for their expert insight on the evolution of the health field (n = 15). In terms of current needs and interests, the large majority of surveyed behavioral scientists (77%) already participate in digital health projects, and from those who have not done so yet, the majority (65%) reported intending to do so in the future. In terms of the expected evolution of the digital health field, interviewed stakeholders anticipated a number of changes, from overall landscape changes through evolving models of reimbursement to more significant oversight and regulations. These findings provide a timely insight into behavioral scientists' current needs, barriers, and attitudes toward the use of technology in health care and public health. Results might also highlight the areas where behavioral scientists can leverage their expertise to both enhance digital health's potential to improve health, as well as to prevent the potential unintended consequences that can emerge from scaling the use of technology in health care., (© Society of Behavioral Medicine 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Midlife women are at an elevated risk for cardiovascular disease (CVD) and associated mortality. Those who have additional risk conditions such as obesity or hypertension report specific barriers to engaging in cardioprotective behaviors such as physical activity (PA). Considerable effort has been devoted to understanding PA determinants and designing interventions for midlife women, although with suboptimal success, as increasing PA could meaningfully attenuate CVD risk. An updated approach to understanding PA among midlife women could improve upon existing resources by focusing on novel psychosocial influences on PA in this population (ie, body satisfaction, social interactions, social comparisons, mood state) and within-person relations between these influences and PA in the natural environment., Objective: The overarching goal of Project WHADE (Women's Health And Daily Experiences) is to use an ecological momentary assessment (EMA) approach to capture ecologically valid relations between midlife women's psychosocial experiences and PA as they engage in their normal daily activities. The primary aim of the study is to identify within-person psychosocial predictors of variability in PA (ie, experiences associated with higher vs lower PA for a given individual)., Methods: Midlife women (aged 40-60 years) with one or more additional risk markers for CVD (eg, hypertension) will be recruited from primary care clinics and the general community (target n=100). Eligible women will complete an initial survey and a face-to-face baseline session before engaging in a 10-day EMA protocol. Psychosocial experiences will be assessed using a brief self-report via a smartphone 5 times per day, and PA will be assessed throughout waking hours using a research-grade monitor. Participants will return for a brief exit interview at the end of 10 days. Multilevel models that address the nested structure of EMA data will be used to evaluate the study aims., Results: Recruitment and enrollment are ongoing, and a total of 75 women have completed the protocol to date. Data collection is expected to be completed in Fall 2020., Conclusions: Project WHADE is designed to identify naturally occurring psychosocial experiences that predict short-term variability in midlife women's PA. As such, the results of this study should advance the current understanding of PA among midlife women by providing further insight into within-person psychosocial influences on PA in this group. In the future, this information could help inform the design of interventions for this population., International Registered Report Identifier (irrid): DERR1-10.2196/19044., (©Danielle Arigo, Megan M Brown, Kristen Pasko, Matthew Cole Ainsworth, Laura Travers, Adarsh Gupta, Danielle Symons Downs, Joshua M Smyth. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 15.10.2020.)

Upward body comparisons are prevalent among college women and associated with body dissatisfaction and disordered eating. However, less is known about distinguishing features of the comparisons themselves as they occur in daily life. The primary purpose of the present study was to examine whether two types of upward body comparisons previously studied experimentally (self-improvement and self-evaluation) are differentially associated with body- and exercise-related outcomes in real-life settings using ecological momentary assessment (EMA). Undergraduate women (N = 74) between 18-25 years (Mage = 20.4, SD = 1.63) completed five surveys on smartphones daily for seven days. EMA measures assessed body comparisons, body dissatisfaction, and exercise cognitions and behaviors. Baseline body dissatisfaction, comparison tendency, and exercise behavior were examined as moderators. Multilevel analyses revealed that both self-improvement and self-evaluation were associated with greater exercise thoughts (ps < .05), but not with changes in body dissatisfaction (ps> .05). Moderator analyses revealed differences between the two types and their associations with outcomes for select subgroups. For example, self-improvement comparisons were associated with fewer exercise thoughts among participants with high baseline exercise behaviors (p < .01). Further research is needed to understand the differences between self-improvement and self-evaluation and the potential protective mechanisms of self-improvement., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Objective: Midlife women experience elevated risk for cardiovascular disease and often receive advice to increase physical activity to mitigate this risk. Use of accelerometers to measure ambulatory physical activity requires selection of appropriate thresholds for estimating moderate-to-vigorous physical activity (MVPA), and choice of cut points may lead to meaningfully different conclusions about midlife women's physical activity (PA) engagement. This is particularly important given the recent elimination of 10-minute bout requirements for MVPA. This two-phase study examined differences between four cut point methods among midlife women with cardiovascular disease (CVD) risk. We used findings from Study 1 (exploratory) to generate hypotheses for Study 2 (confirmatory)., Methods: Across studies, participants (N = 65) were midlife women with an additional CVD risk factor (eg, hypertension). Participants wore waistband accelerometers for seven days. Daily totals were calculated for minutes in light and MVPA using four common quantification methods (Freedson, Matthews, Swartz, and Troiano)., Results: Multilevel models showed meaningful differences between methods (P < 0.0001). For total (non-bouted) minutes of MVPA, Freedson and Troiano methods showed that participants barely met MVPA recommendations (30 min per day), whereas Matthews and Swartz methods showed that participants greatly exceeded this goal. As differences between methods were smaller using MVPA bouts of 10 minutes or more (though remained significant), the observed variation was due in part to small bursts of MVPA dispersed throughout the day., Conclusions: Findings demonstrate the need for careful consideration of PA quantification among midlife women with CVD risk, and for further investigation to determine the most appropriate quantification method. : Video Summary:http://links.lww.com/MENO/A545.

This study examined reported post-traumatic stress disorder symptoms in adults with poorly controlled type 2 diabetes who had no history of psychiatric diagnosis or treatment ( n  = 184, M HbA1c  = 9.13%, standard deviation = 1.68). Participants reported moderate to severe intensity of post-traumatic stress disorder symptoms ( M  = 19.17, SD = 17.58). Together, depressive and post-traumatic stress disorder symptoms accounted for 10-40 percent of the variance in type 2 diabetes outcomes; post-traumatic stress disorder symptoms were associated with elevated diabetes distress and more frequent exercise and self-blood glucose testing (unique R 2  ~ 3%). Post-traumatic stress disorder symptoms may be overlooked in type 2 diabetes among patients without formal psychiatric diagnoses, and warrant increased attention.

Background: Smartphone apps promoting physical activity (PA) are abundant, but few produce substantial and sustained behavior change. Although many PA apps purport to induce users to compare themselves with others (by invoking social comparison processes), improvements in PA and other health behaviors are inconsistent. Existing literature suggests that social comparison may motivate PA for some people under some circumstances. However, 2 aspects of work that apply social comparison theory to PA apps remain unclear: (1) how comparison processes have been operationalized or harnessed in existing PA apps and (2) whether incorporating sources of variability in response to comparison have been used to tailor comparison features of apps, which could improve their effectiveness for promoting PA., Objective: The aim of this meta-review was to summarize existing systematic, quantitative, and narrative reviews of behavior change techniques in PA apps, with an emphasis on social comparison features, to examine how social comparison is operationalized and implemented., Methods: We searched PubMed, Web of Science, and PsycINFO for reviews of PA smartphone apps. Of the 3743 initial articles returned, 26 reviews met the inclusion criteria. Two independent raters extracted the data from these reviews, including the definition of social comparison used to categorize app features, the percentage of apps categorized as inducing comparison, specific features intended to induce comparison, and any mention of tailoring comparison features. For reference, these data were also extracted for related processes (such as behavioral modeling, norm referencing, and social networking)., Results: Of the included review articles, 31% (8/26) categorized app features as prompting social comparison. The majority of these employed Abraham and Michie's earliest definition of comparison, which differs from versions in later iterations of the same taxonomy. Very few reviews specified what dimension users were expected to compare (eg, steps, physical fitness) or which features of the apps were used to induce comparison (eg, leaderboards, message boards). No review referenced tailoring of comparison features. In contrast, 54% (14/26) reviews categorized features for prompting behavioral modeling and 31% (8/26) referenced tailoring app features for users' personal goals or preferences., Conclusions: The heterogeneity across reviews of PA apps and the absence of relevant information (eg, about dimensions or features relevant for comparison) create confusion about how to best harness social comparison to increase PA and its effectiveness in future research. No evidence was found that important findings from the broader social comparison literature (eg, that people have differing preferences for and responses to social comparison information) have been incorporated in the design of existing PA apps. Greater integration of the mobile health (mHealth) and social comparison literatures may improve the effectiveness of PA apps, thereby increasing the public health impact of these mHealth tools., International Registered Report Identifier (irrid): RR2-https://osf.io/nh4td/., (©Danielle Arigo, Megan M Brown, Kristen Pasko, Jerry Suls. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 27.03.2020.)

Objectives: There is a need to develop more effective physical activity (PA) promotion programs for college women. Theory and evidence suggest that perceptions of the social environment play a role in college women's PA, though little is known about how these perceptions are associated with PA at the day level. The goal of this study was to examine relations between changes in college women's daily social perceptions and objectively assessed PA over seven days., Design: Daily diary method., Method: College women ( n = 80, M Age = 20 , M BMI = 23.1 kg/m 2 ) wore Fitbit wristbands and completed daily self-reports of (1) the quantity and perceived intensity of their social interactions (positive/negative), and (2) the occurrence of social comparisons (based on appearance/health/status) for seven days., Results: Multilevel models showed daily variability in predictors and outcomes ( p s < 0.0001), as well as relations between within-person changes in social perceptions and PA. Increases in negative interactions (particularly those with friends) were consistently associated with decreases in daily PA, whereas increases in positive interactions showed limited relations ( sr s = -0.22-0.34). Days with health comparisons were days with greater PA for women who had stronger overall interest in comparisons, but were days with less PA for women with weaker overall interest ( sr s = 0.22-0.33). PA did not differ between days with vs. without appearance comparisons., Conclusions: Social perceptions show meaningful day-to-day variability and relations with college women's daily PA, and specific associations may be useful for improving tailored interventions for college women., Competing Interests: Declaration of Interest The authors confirm that they have no other interests to declare.

Peer support is increasingly recognized as consistent with the goals of integrated primary care and is being implemented in primary care settings as a patient-centered approach that increases patient activation and access to care. Within the Veterans Health Administration (VHA), peer support specialists (PSSs) have traditionally worked in specialty mental health settings and only recently started working in Primary Care-Mental Health Integration (PC-MHI) settings. Prior research has identified implementation challenges, such as role confusion, when integrating peer support into new settings. In this qualitative descriptive study, we conducted semistructured interviews on perceived barriers and facilitators to implementing peer support in PC-MHI with 25 key stakeholders (7 PSSs, 6 PSS supervisors, 6 PC-MHI providers, and 6 primary care providers). We used conventional content analysis to code responses within four a priori implementation categories: barriers, initial facilitators, long-term facilitators, and leadership support. Perceived barriers included poor program functioning, inadequate administrative support, role confusion, and negative stakeholder attitudes. Key perceived facilitators of initializing and maintaining peer support were similar; administrative support was emphasized followed by program functioning and team cohesion. Stakeholder buy-in and access/visibility were perceived to facilitate initial implementation, whereas evidence of success was believed to facilitate maintenance. Stakeholder buy-in and administrative support were considered key elements of leadership support. Results were consistent with prior research from specialty mental health settings, but identified unique considerations for PC-MHI settings, particularly clarifying the PSS role based on local PC-MHI needs, obtaining buy-in, and facilitating integration of PSSs into the primary care team. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Maintenance of weight loss after behavioral intervention tends to be poor, and there is need for an improved understanding of factors that are associated with successful maintenance. Social comparison is known to be a powerful influence on treatment outcomes for group-based behavioral weight loss programs, but little is known about the role of individual differences in social comparison orientation (i.e., tendency to value comparison information) in this context. The goal of this study was to examine prospective relations between social comparison orientation and long-term weight loss outcomes (percent weight loss and aerobic-intensity physical activity) among participants in behavioral weight loss treatment. Participants ( n  = 161, M Age  = 54, M BMI  = 34.4 kg/m 2 ) completed a measure of social comparison orientation at pre-treatment baseline. Height and weight were measured in the research center and aerobic-intensity physical activity was assessed via accelerometer at baseline, mid- and end-of-treatment, and at 6 and 12 months post-treatment (representing maintenance). Multilevel models tested prospective relations between comparison orientation and treatment outcomes over time, with emphasis on differences during the post-treatment maintenance phase. Stronger (vs. weaker) general comparison orientation was associated with better maintenance of aerobic-intensity physical activity. However, stronger (vs. weaker) orientation toward comparisons with better-off others (i.e., upward comparison) was associated with less weight loss success during and after treatment. Social comparison orientation thus shows meaningful relations with long-term maintenance of key outcomes in group-based behavioral weight loss treatment, and warrants further investigation in this context.