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Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access to parks or low walkability) may limit one's ability to respond to FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of FB on PA, and residents of high walkability neighborhoods will achieve higher PA levels at 12 months than those in low walkability neighborhoods. The study is a secondary analysis of a 12-month behavioral weight-loss trial. Adults with overweight/obesity were randomized to SM + FB (n = 251) or SM alone (n = 251). SM + FB group received smartphone pop-up messages thrice/week tailored to their PA SM data. The assessment included neighborhood walkability via Walk Score (low [<50] vs. high [≥50]), moderate to vigorous PA (MVPA) and step count via Fitbit Charge 2™, and weight via smart scale. We report adjusted linear regression coefficients (b) with standard errors (SE). The analysis included participants who were primarily white, female, and with obesity. In adjusted models, neighborhood walkability did not moderate the effect of treatment assignment on log-transformed (ln) MVPA or steps count over 12 months. The SM + FB group had greater lnMVPA than the SM group, but lnMVPA and steps were similar between walkability groups. There were no significant interactions for group and time or group, time, and walkability. These findings suggest that adding FB to SM had a small but significant positive impact on PA over 12 months, but neighborhood walkability did not moderate the treatment effect of FB on PA. [ABSTRACT FROM AUTHOR]

BackgroundHealthcare providers play an important role in encouraging healthy behaviors and improving health-related quality of life (HRQoL). They are most effective when they partner with informed, engaged patients.ObjectiveTo examine the impact of a new health-information technology intervention (FAST-Feedback) that provides patients with immediate, personalized, guideline-based feedback regarding tobacco use, physical activity, and HRQoL, and encourages patients to initiate discussions regarding these topics with their primary care physician.DesignA pilot, randomized controlled trial clustered by resident physician, with patients as the unit of analysis.ParticipantsResident physicians and their out-patients in a single academic health center between May and October 2011.InterventionPatients received (intervention) or did not receive (control) FAST-Feedback prior to the clinical encounter.Main outcome measuresPrimary outcomes were patient reports of initiating any discussions regarding tobacco use, physical activity, and HRQoL. Subgroup analyses examined patient reports of discussions regarding tobacco use, physical activity, and HRQoL, respectively.Key resultsThirty of the 36 eligible resident physicians (83%) agreed to participate; 173 of their 415 eligible patients (42%) expressed interest in the study and 99 (24%) consented to participate. Compared to controls, a higher percentage of intervention patients reported initiating any discussion with their resident physician, although this difference was not statistically significant (40% vs. 27%; p = 0.12). For subgroup analyses regarding specific topics of discussion, patients in the intervention group reported initiating more discussions regarding mental HRQoL than controls (23% vs. 0%; p = 0.02). There was no difference in patient reports of initiating discussions regarding smoking, physical activity or physical HRQoL.ConclusionsProviding patients with immediate, personalized, guideline-based feedback prior to the clinical encounter can increase patient-initiated discussions regarding mental HRQoL. Future work should test FAST-Feedback in a larger population and evaluate the impact on tobacco cessation, increased physical activity, and improvements in HRQoL.

The diet quality of US adults is poor and cross-sectional analyses suggest self-perception of healthful dietary intake may be overestimated. This analysis assessed the concordance between calculated and perceived diet quality and changes in diet quality among adults seeking weight loss and enrolled in a 12-month randomized behavioral trial. Healthy Eating Index-2015 diet quality (HEI) was calculated from self-administered 24-hour recalls. Perceived diet quality (PDQ) was measured on a 100-point scale. Higher scores indicate better diet quality. Concordance was assessed using the concordance correlation coefficient and Bland-Altman plots. The one hundred and five participants with complete dietary data were mostly female and white. There was good agreement between HEI and PDQ scores at 12 months for less than a third of participants. Most of the disagreement arose from PDQ scores being higher than HEI scores. Even fewer participants had good agreement between HEI changes and PDQ changes. Participants perceived greater improvement in diet quality than indicated by HEI score changes. Concordance was low at 12 months and for change in diet quality. Despite the diet quality of adults seeking weight loss being suboptimal and not improving, many perceived their diet quality and diet quality improvements as better than calculated. Future studies might explore the effect of misperceptions on weight loss outcomes. [ABSTRACT FROM AUTHOR]

Asthma is one of the most common chronic conditions in developed countries. We examined whether physical activity (PA) is related to asthma control and body mass index (BMI) in asthma patients. Cross-sectional data collected on PA (ActiGraph GT3X-BT), asthma control (the Asthma Control Questionnaire; ACQ), and BMI were examined in 206 adults (mean[sd] age 47.2[13.8] years; 49.5% had an obese BMI) with clinically diagnosed asthma. Relationships between PA and continuous BMI and asthma control were assessed using linear regression. Differences in PA across obesity (non-obese: <30 Kg/m2/obese: ≥30 Kg/m2) and asthma control categories (controlled: ≤0.75/uncontrolled: >0.75 ACQ score) were also examined. Median (p25, p75) steps counts and peak cadence were 6035 (4248, 8461) steps/day and 123 (115, 133) steps in a minute, respectively. There were nearly 2000 fewer steps/day among those with uncontrolled asthma versus controlled and among those with obese BMI versus nonobese, respectively (both p < 0.05). In regression models adjusted for relevant covariates each 1-unit increase in ACQ score was associated with −686 [95%CI −997, −13] (p ≤ 0.05) average steps/day. The statistical significance of these findings was attenuated (p ≥ 0.05) when BMI was added to the model. However, the point estimate was not reduced (-766 [95%CI −1060, 34]. Overall step counts were low in this population despite peak cadence values suggesting that most participants could perform moderate intensity activity. Increasing step counts should be considered an important lifestyle intervention goal in obese and non-obese asthma patients with low PA levels. [ABSTRACT FROM AUTHOR]

BackgroundThere is growing interest in identifying and recruiting research participants from health systems using electronic health records (EHRs). However, few studies have described the practical aspects of the recruitment process or compared electronic recruitment methods to in-person recruitment, particularly across health systems. ObjectiveThe objective of this study was to describe the steps and efficiency of the recruitment process and participant characteristics by recruitment strategy. MethodsEHR-based eligibility criteria included being an adult patient engaged in outpatient primary or bariatric surgery care at one of 5 health systems in the PaTH Clinical Research Network and having ≥2 weight measurements and 1 height measurement recorded in their EHR within the last 5 years. Recruitment strategies varied by site and included one or more of the following methods: (1) in-person recruitment by study staff from clinical sites, (2) US postal mail recruitment letters, (3) secure email, and (4) direct EHR recruitment through secure patient web portals. We used descriptive statistics to evaluate participant characteristics and proportion of patients recruited (ie, efficiency) by modality. ResultsThe total number of eligible patients from the 5 health systems was 5,051,187. Of these, 40,048 (0.8%) were invited to enter an EHR-based cohort study and 1085 were enrolled. Recruitment efficiency was highest for in-person recruitment (33.5%), followed by electronic messaging (2.9%), including email (2.9%) and EHR patient portal messages (2.9%). Overall, 779 (65.7%) patients were enrolled through electronic messaging, which also showed greater rates of recruitment of Black patients compared with the other strategies. ConclusionsWe recruited a total of 1085 patients from primary care and bariatric surgery settings using 4 recruitment strategies. The recruitment efficiency was 2.9% for email and EHR patient portals, with the majority of participants recruited electronically. This study can inform the design of future research studies using EHR-based recruitment.

Objective: It has been reported that mothers who do not breastfeed are at an increased risk of T2DM, metabolic syndrome, and CVD. We hypothesize that lactation may influence cardio-metabolic risk by altering maternal body composition. We examined the extent to which lactation was associated with regional and total adiposity in a sample of US women 15 years after their last birth. Study Design : Cross-sectional analysis of data provided by 1,268 women aged 45-58 who enrolled in the Study of Women’s Health Across the Nation (1996 -1997). Adiposity was assessed using dual-energy X-ray absorptiometry. History of lactation was self-reported and categorized into three groups: mothers who breastfed for ≥3 months after every birth, those who discontinued lactation within 3 months of some births, and those who never breastfed. Results: Compared with mothers who breastfed after every birth for at least 3 months, mothers who never breastfed had 0.87 kg greater trunk fat mass (FM), 1.3% greater % trunk FM, 1.3% lower % leg FM, and 0.075 greater trunk to leg FM ratio after adjustment for age, parity, height, years since last birth, race/ethnicity, socioeconomic, lifestyle, psychological, and family history variables, maximum gestational weight gain, and menopausal status. After additional adjustment for current BMI, women who never breastfed had 0.40 kg greater trunk FM and 0.053 greater trunk to leg FM ratio than mothers who breastfed every child for ≥3 months. Similarly, mothers who discontinued lactation within 3 months of some births had 0.28 kg greater trunk FM and 0.87% lower % leg FM than mothers who consistently breastfed. Conclusion : Women who did not breastfeed for at least 3 months after every birth exhibit less favorable body fat distributions 15 years postpartum. These results provide a potential physiologic basis for prior findings that women who do not breastfeed their children face increased risk of diabetes, the metabolic syndrome, and cardiovascular disease. Given existing disparities in rates of lactation, obesity and CVD, these findings have great clinical relevance and suggest the need for targeted lactation support for women at risk of cardiovascular disease.

BackgroundMost adults are not achieving recommended levels of physical activity (150 minutes/week, moderate-to-vigorous intensity). Inadequate activity levels are associated with numerous poor health outcomes, and clinical recommendations endorse physical activity in the front-line treatment of obesity, diabetes, dyslipidemia, and hypertension. A framework for physical activity prescription and referral has been developed, but has not been widely implemented. This may be due, in part, to the lack of feasible and effective physical activity intervention programs designed to coordinate with clinical care delivery. ObjectiveThis manuscript describes the protocol for a pilot randomized controlled trial (RCT) that tests the efficacy of a 13-week online intervention for increasing physical activity in adult primary care patients (aged 21-70 years) reporting inadequate activity levels. The feasibility of implementing specific components of a physical activity clinical referral program, including screening for low activity levels and reporting patient program success to referring physicians, will also be examined. Analyses will include participant perspectives on maintaining physical activity. MethodsThis pilot study includes a 3-month wait-listed control RCT (1:1 ratio within age strata 21-54 and 55-70 years). After the RCT primary end point at 3 months, wait-listed participants are offered the full intervention and all participants are followed to 6 months after starting the intervention program. Primary RCT outcomes include differences across randomized groups in average step count, moderate-to-vigorous physical activity, and sedentary behavior (minutes/day) derived from accelerometers. Maintenance of physical activity changes will be examined for all participants at 6 months after the intervention start. ResultsRecruitment took place between October 2018 and May 2019 (79 participants were randomized). Data collection was completed in February 2020. Primary data analyses are ongoing. ConclusionsThe results of this study will inform the development of a clinical referral program for physical activity improvement that combines an online intervention with clinical screening for low activity levels, support for postintervention behavior maintenance, and feedback to the referring physician. Trial RegistrationClinicalTrials.gov NCT03695016; https://clinicaltrials.gov/ct2/show/NCT03695016. International Registered Report Identifier (IRRID)DERR1-10.2196/18891