The effect of moderate-intensity exercise on nightly variability in objectively measured sleep parameters among older women.

Objective/Background: Exercise training has been demonstrated to beneficially influence mean-level measures of sleep; however, few studies have examined the impact of an exercise intervention on night-to-night variability in sleep. This study investigated whether four months of moderate-intensity exercise impacted night-to-night variability in sleep among older women. Methods: Participants (n = 49) were randomized to one of two moderate-intensity walking programs with different doses of energy expenditure: low-dose (n = 23: 8 kcal/kg of body weight per week) or high-dose (n = 26: 14 kcal/kg of body weight per week). Sleep parameters were assessed objectively via actigraphy at baseline, mid- (2 months), and postintervention (4 months). Nightly variability in each of the sleep parameters was calculated using the seven-day standard deviation (SD) and a coefficient of variation (SD/mean x 100%). Cardiorespiratory fitness (VO2peak) was measured at baseline and postintervention using a graded treadmill test. Results: Both measures of nightly variability demonstrated a borderline to significantly lower amount of night-to-night variability in wake time after sleep onset (WASO) and number of awakenings at postintervention in comparison to baseline (p ≤ 0.05). Higher VO2peak levels at baseline were associated with less time in bed and lower total sleep time variability throughout the exercise intervention (p < 0.05). Conclusion: Overall, participation in moderate-intensity exercise was observed to reduce the amount of nightly variability for WASO and number of awakenings over time in older women.

Questionnaire-based problematic relationship to eating and food is associated with 25 year body mass index trajectories during midlife: The Coronary Artery Risk Development In Young Adults (CARDIA) Study.

OBJECTIVE: Problematic eating behaviors and attitudes are of public health concern. Questionnaire-based assessment of these behaviors is important for large-scale research on eating behaviors. The questionnaire on eating and weight patterns-revised (QEWP-R) measures potential problematic behaviors and attitudes toward food (including anxieties, compensatory actions, overeating and loss of control, dieting, and shape concerns) that in aggregate may indicate diagnosable eating disorders. An important question regards the prevalence of these issues and their longitudinal associations with body mass index (BMI) in generally healthy middle aged adults. METHOD: Based on eight constructs measured on QEWP-R, we created a new problematic relationship to eating and food (PREF) scale by assigning a point for each construct endorsed. Analyses were conducted in 3,892 black and white men and women participating in the community-based Coronary Artery Risk Development in Young Adults (CARDIA) Study. The QEWP-R was administered in CARDIA year 10, when participants were aged 27-41 years. We used linear regression to model the relationship of individual constructs and the PREF scale to BMI over CARDIA follow-up. RESULTS: Fifty-five percent of participants had 1-5 points and 4% had 6-8 points on the PREF scale. Each separate construct was positively associated with BMI, except concern about weight and shape. Adjusting for age, race, sex, education, and study center, mean BMI at CARDIA year 10, the time of PREF assessment, was approximately 1.0-2.5 kg/m2 higher per PREF category. CONCLUSION: In middle age, problematic behaviors and attitudes toward food were common and associated with higher BMI.

E-Media Use and Preferences for Physical Activity and Public Health Information: Results of a Web-Based Survey.

CONTEXT: As social media (eg, Twitter) continues to gain widespread popularity, health research and practice organizations may consider combining it with other electronic media (e-media) channels (eg, Web sites, e-newsletters) within their communication plans. However, little is known about added benefits of using social media when trying to reach public health audiences about physical activity. OBJECTIVE: Learn about current use and preference for e-media communication channels among physical activity researchers and practitioners. DESIGN: A Web-based survey was used, open for responses from August 20, 2015, through January 5, 2016. Survey participation was voluntary and anonymous. The survey was advertised through multiple channels targeting physical activity researchers and practitioners, including announcements on professional listservs and in e-newsletters, Twitter, and posts on Facebook pages of public health organizations. SETTING AND PARTICIPANTS: A total of 284 survey respondents had complete data. MAIN OUTCOME MEASURES: Typical use of e-media to receive, seek out, and share information about physical activity and health and what appeals to researchers and practitioners for professional use. RESULTS: Most respondents preferred non-social media channels to social media and these preferences did not differ widely when examining subgroups such as researchers versus practitioners or social media users versus nonusers. There were few differences by respondent demographics, though younger respondents reported using social media more than older respondents. However, limiting analyses to respondents who identified as social media users, only about 1% of respondents ranked social media sources as their preferred channels for information; thus, most people would continue to be reached if communication remained largely via non-social media e-media channels. CONCLUSIONS: The present study supports growing evidence that careful surveying of a target audience should be undertaken when considering new communication channels, as preference and use may not support the effort required to create and maintain resource-intensive strategies like social media.

Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes.

BACKGROUND: Weight loss is recommended for overweight or obese patients with type 2 diabetes on the basis of short-term studies, but long-term effects on cardiovascular disease remain unknown. We examined whether an intensive lifestyle intervention for weight loss would decrease cardiovascular morbidity and mortality among such patients. METHODS: In 16 study centers in the United States, we randomly assigned 5145 overweight or obese patients with type 2 diabetes to participate in an intensive lifestyle intervention that promoted weight loss through decreased caloric intake and increased physical activity (intervention group) or to receive diabetes support and education (control group). The primary outcome was a composite of death from cardiovascular causes, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for angina during a maximum follow-up of 13.5 years. RESULTS: The trial was stopped early on the basis of a futility analysis when the median follow-up was 9.6 years. Weight loss was greater in the intervention group than in the control group throughout the study (8.6% vs. 0.7% at 1 year; 6.0% vs. 3.5% at study end). The intensive lifestyle intervention also produced greater reductions in glycated hemoglobin and greater initial improvements in fitness and all cardiovascular risk factors, except for low-density-lipoprotein cholesterol levels. The primary outcome occurred in 403 patients in the intervention group and in 418 in the control group (1.83 and 1.92 events per 100 person-years, respectively; hazard ratio in the intervention group, 0.95; 95% confidence interval, 0.83 to 1.09; P=0.51). CONCLUSIONS: An intensive lifestyle intervention focusing on weight loss did not reduce the rate of cardiovascular events in overweight or obese adults with type 2 diabetes. (Funded by the National Institutes of Health and others; Look AHEAD ClinicalTrials.gov number, NCT00017953.).

Are early first trimester weights valid proxies for preconception weight?

BACKGROUND: An accurate estimate of preconception weight is necessary for providing a gestational weight gain range based on the Institute of Medicine's guidelines; however, an accurate and proximal preconception weight is not available for most women. We examined the validity of first trimester weights for estimating preconception body mass index category. METHODS: Under identical measurement conditions, preconception weight and two first trimester weights (i.e., 4-10 and 12 weeks gestation) were obtained (n = 43). RESULTS: The 4-10 week and the 12 week weight correctly classified 95 and 91% women, respectively. Mean weight changes were relatively small overall (M = 0.74 ± 1.99 kg at 4-10 weeks and M = 1.02 ± 2.46 at 12 weeks). There was a significant difference in mean weight gain by body mass index category at 4-10 weeks (-0.09 ± 1.86 kg for normal weight participants vs. 1.61 + 1.76 kg for overweight/obese participants, p = 0.01), but not at 12 weeks (0.53 ± 2.29 kg for normal weight participants vs. 1.54 ± 2.58 kg for overweight/obese participants). CONCLUSIONS: Assigning gestational weight gain guidelines based on an early first trimester weight resulted in 5-9% of women being misclassified depending on the gestational week the weight was obtained. Thus, most women are correctly classified based on a first trimester weight, particularly an early first trimester weight, although it is possible that modeling strategies could be developed to further improve estimates of preconception body mass index category. TRIAL REGISTRATION: Clinicaltrials.gov # NCT01131117 , registered May 25, 2010.

The evaluation of Arkansas Act 1220 of 2003 to reduce childhood obesity: conceptualization, design, and special challenges.

This article describes the evaluation of the Arkansas Act 1220 of 2003, a comprehensive legislative proposal to address the growing epidemic of childhood obesity through changes in the school environment. In addition, the article discusses specific components of the evaluation that may be applicable to other childhood obesity policy evaluation efforts. The conceptual framework for the evaluation, research questions, and evaluation design are described, along with data collection methods and analysis strategies. A mixed methods approach, including both quantitative (surveys, telephone interviews) and qualitative (key informant interviews, records reviews) approaches, was utilized to collect data from a range of informant groups including parents, adolescents, school principals, school district superintendents, and other stakeholders. Challenges encountered with the evaluation are discussed, as are strategies to overcome those challenges. Now in its 9th year, this evaluation has documented substantial changes to school policies and environments but fewer changes to student and family behaviors. The evaluation may inform the methods of other evaluations of childhood obesity prevention policies, as well as inform policymakers about how quickly they might expect implementation of such policies in their own states and localities and anticipate both positive and adverse outcomes.

Weight loss prevents urinary incontinence in women with type 2 diabetes: results from the Look AHEAD trial.

PURPOSE: We determined the effect of weight loss on the prevalence, incidence and resolution of weekly or more frequent urinary incontinence in overweight/obese women with type 2 diabetes after 1 year of intervention in the Look AHEAD (Action for Health in Diabetes) trial. MATERIALS AND METHODS: Women in this substudy (2,739, mean ± SD age 57.9 ± 6.8 years, body mass index 36.5 ± 6.1 kg/m(2)) were randomized into an intensive lifestyle weight loss intervention or a diabetes support and education control condition. RESULTS: At baseline 27% of participants reported urinary incontinence on a validated questionnaire (no significant difference by intensive lifestyle intervention vs diabetes support and education). After 1 year of intervention the intensive lifestyle intervention group in this substudy lost 7.7 ± 7.0 vs 0.7 ± 5.0 kg in the diabetes support and education group. At 1 year fewer women in the intensive lifestyle intervention group reported urinary incontinence (25.3% vs 28.6% in the diabetes support and education group, p = 0.05). Among participants without urinary incontinence at baseline 10.5% of intensive lifestyle intervention and 14.0% of diabetes support and education participants experienced urinary incontinence after 1 year (p = 0.02). There were no significant group differences in the resolution of urinary incontinence (p >0.17). Each kg of weight lost was associated with a 3% reduction in the odds of urinary incontinence developing (p = 0.01), and weight losses of 5% to 10% reduced these odds by 47% (p = 0.002). CONCLUSIONS: Moderate weight loss reduced the incidence but did not improve the resolution rates of urinary incontinence at 1 year among overweight/obese women with type 2 diabetes. Weight loss interventions should be considered for the prevention of urinary incontinence in overweight/obese women with diabetes.

Effects of meeting steps-based and minutes-based physical activity goals on weight loss in online behavioral weight control: seemingly unrelated regression analysis.

Background: Behavioral weight loss programs often prescribe physical activity (PA) goals in terms of minutes/week of moderate-to-vigorous PA (MVPA) and steps/day. However, the impact of meeting each type of goal prescription on weight loss is unclear, particularly in digitally-based (eHealth/mHealth) programs. This secondary analysis of a randomized trial examined the effects of meeting steps-based and minutes-based goals on weight loss in an eHealth behavioral weight control program. Methods: Adults in the control arm received a 6-month online behavioral weight loss intervention with prescribed weekly goals for daily steps and minutes of MVPA. The number of weeks steps-based and minutes-based goals were met (≥100% and ≥75% thresholds) based on self-reported PA were examined as predictors of 6-month weight loss among those providing weight outcomes (n = 172; 81% of control arm) using a systems regression approach. Results: Participants (BMI 35.6 kg/m2; 90.1% female; 48.7 years of age) met weekly goals for MVPA (7.1 ± 6.4 weeks) more often than steps (3.5 ± 5.5 weeks, P < .001). Meeting the steps goals (ß = .24, P < .001) and MVPA goals (ß = .20, P < .001) were each statistically significant predictors of weight loss at the 100% threshold; their total effects were not statistically different from one another (χ 2 = 1.12, P = .29). Similarly, at the 75% threshold for steps goals (ß = .19, P < .001) and MVPA goals (ß = .19, P < .001), each independently predicted weight loss; no differences were detected in their total effects (χ2 = .01, P = .92). The probability of reaching ≥5% weight loss was comparable between meeting the steps goals and MVPA goals at both adherence thresholds. Conclusions: Greater attainment of PA goals prescribed as steps and minutes of MVPA independently contribute to similar weight loss outcomes in a 6-month online behavioral weight loss intervention. Future research should determine whether promoting adherence to combined steps-based and minutes-based goals produces better weight loss than utilizing either goal alone and identify strategies that improve adherence.

Examining weekly facilitated group sessions and counselor-crafted self-monitoring feedback on treatment outcome in digital weight control: A pilot factorial study.

Objective: Weight control programs that incorporate group sessions produce greater weight losses, but this has not been explored in the context of online programs. Further, counselor-crafted self-monitoring feedback is a core element of lifestyle interventions, although pre-scripted, modular feedback which does not require detailed counselor review may adequately promote weight loss. The current study explored the weight losses achieved in an online program that included facilitated group sessions, as well as outcomes when counselor-crafted self-monitoring feedback was provided. Methods: A 2 × 2 pilot factorial randomized participants (90% women) with overweight/obesity (N = 73) to facilitated group sessions (yes/no) and type of feedback (counselor-crafted/pre-scripted, modular) within a 16-week online behavioral weight control program. Weight change outcomes were collected digitally. Treatment engagement and intervention delivery time were also tracked. Results: Individuals offered weekly facilitated online group sessions lost more weight (-5.3% ± 4.9%) than those receiving the same digital program without group sessions (-3.1% ± 4.0%; p = 0.04). Those receiving group sessions also demonstrated significantly greater treatment engagement. Individuals receiving pre-scripted, modular feedback lost significantly more weight (-5.3% ± 4.8%) than those receiving the more traditional counselor-crafted feedback (-3.1% ± 4.1%; p = 0.04), but treatment engagement did not differ between conditions. However, interventionist time required to provide feedback was markedly lower for pre-scripted than counselor-crafted feedback (1.4 vs. 3.5 h per participant over 16 weeks, respectively, p = 0.01). Conclusions: Incorporating weekly facilitated online group sessions significantly increased weight losses achieved in a digital lifestyle program. Further, pre-scripted, modular feedback required significantly less staff time than counselor-crafted feedback without diminishing weight losses. Thus, group sessions and pre-scripted feedback warrant consideration when designing digital lifestyle programs.

Perspectives on the Form, Magnitude, Certainty, Target, and Frequency of Financial Incentives in a Weight Loss Program.

PURPOSE: Financial incentives are a promising approach to enhance weight loss outcomes; however, little guidance exists on the optimal incentive structure. DESIGN: Mixed methods. SETTING: An online weight management trial, combining outcome (i.e., weight loss) and behavioral (i.e., self-weighing, dietary self-monitoring, and steps) incentives over 12 months (up to $665). SUBJECTS: 116 participants who completed the incentive preference assessment at the 18-month follow-up visit. METHOD: Response distributions on the form, magnitude, certainty, and target of the incentives and content analysis of the qualitative responses. RESULTS: Nearly all (96.6%) participants indicated they liked receiving electronic Amazon gift cards, more so than the alternatives presented. Most participants (81.0%) thought they would have lost a similar amount of weight if the incentives were smaller. Few (18.1%) indicated they would have preferred a lottery structure, but 50.8% indicated the variable incentive schedule was beneficial during the maintenance period. Most (77.6%) felt incentives were most helpful when starting to lose weight. In both phases, most participants (85.3% and 72.4%, respectively) indicated appropriate behaviors were incentivized. Participants had mixed views on whether outcome or behavioral incentives were most motivating. CONCLUSION: There was notable variation in preferences for the magnitude, duration, and timing of incentives; it will be important to examine in future research whether incentive design should be tailored to individual preferences.

Randomized controlled trial of financial incentives during weight-loss induction and maintenance in online group weight control.

OBJECTIVE: This study examined the impact of a financial incentive scheme integrating process and outcome incentives across weight-loss induction and weight maintenance on 18-month weight outcomes. METHODS: This was a randomized controlled trial. Participants with overweight or obesity (n = 418; 91% female; 28% racial/ethnic minority) were randomized to an 18-month, online, group-based behavioral weight-control program (Internet-Only) or the same program with financial incentives provided for 12 months, contingent on self-regulatory weight-control behaviors (self-weighing, dietary self-monitoring, and physical activity) and weight-outcome benchmarks (Internet+Incentives). No financial incentives were provided from Months 13 to 18 to examine the durability of weight-control behaviors and outcomes without incentives. RESULTS: Weight-loss induction at Month 6 was significantly greater for Internet+Incentives than Internet-Only (6.8% vs. 4.9%, respectively, p = 0.01). Individuals receiving incentives were significantly more likely to maintain weight loss ≥ 5% at Month 12 (45% in Internet+Incentives vs. 32% in Internet-Only, p < 0.02) and remain weight stable (39% vs. 27%, respectively, p < 0.01). Internet+Incentives participants also reported significantly greater behavioral engagement through Month 12. However, once incentives ceased, there were no differences in sustained weight outcomes (Month 18), and engagement declined dramatically. CONCLUSIONS: Despite promoting greater treatment engagement and initial weight loss, financial incentives as offered in this study did not promote better extended weight control.

The accuracy of weight reported in a web-based obesity treatment program.

OBJECTIVE: The overall goal of the study was to understand the accuracy of self-reported weight over a 6-month Web-based obesity program. MATERIALS AND METHODS: As part of a larger study, subjects (n=323; 93% female; 28% African American) were randomized to a 6-month Internet-based behavioral weight loss program with weekly group meetings delivered either: (1) entirely by online synchronous chats or (2) by a combination of online chats plus monthly in-person group sessions. Observed weights were obtained at 0 and 6 months for all participants. Self-reported weights were submitted weekly to the study Web site. Differences in Observed and Reported weights were examined by gender, race, and condition. RESULTS: Observed and Reported weight were significantly correlated at 0 and 6 months (r=0.996 and 0.996, ps <0.001 respectively). However, Reported weight underestimated Observed weight by 0.86 kg (p<0.001) at 6 months. Further, there was a significant weight loss effect (p<0.001) with those losing more weight more accurately estimating their Reported weight at 6 months. Additionally, 6-month Reported weight change differed from Observed weight change (difference=0.72 kg, p<0.001), with weight change using Reported weights estimating a slightly larger weight loss than Observed weights. CONCLUSIONS: In general, the accuracy of self-reported weight is high for individuals participating in an Internet-based weight loss treatment program. Accuracy differed slightly by amount of weight lost and was not improved with periodic in-person assessment. Importantly, weight change by self-report was comparable to observed, suggesting that it is suitable for Web-based obesity treatment.

Distinguishing early patterns of physical activity goal attainment and weight loss in online behavioral obesity treatment using latent class analysis.

Physical activity (PA) goal adherence is consistently associated with greater weight loss during behavioral obesity treatment, and early weight loss response predicts future weight loss success. However, it remains unclear which behaviors during the initial weeks of treatment distinguish responders from nonresponders and might be effective targets for improving treatment outcomes. To characterize subgroups with distinct patterns of PA goal adherence during the initial 2 months of an online, group-based weight control program and determine associations between these patterns and 6-month weight loss. Participants received an online behavioral obesity intervention with PA goals and daily self-monitoring. Weekly adherence to step goals and moderate-to-vigorous PA (MVPA) minute goals based on self-monitoring records were examined using latent class analysis. Body weight was objectively measured at 0, 2, and 6 months. Participants (N = 212; 91.5% female, 31.6% race/ethnic minority, mean body mass index: 35.8 ± 5.9 kg/m2) clustered into three subgroups based on early goal attainment: "Both PA Goals," "MVPA Goals Only," and "Neither PA Goal." The "Both PA Goals" class had significantly greater 6-month weight loss (estimated mean weight loss [95% CI]: -9.4% [7.4 to 11.5]) compared to the "MVPA Goals Only" (-4.8% [3.4 to 6.1]) and "Neither PA Goal" classes (-2.5% [1.4 to 3.6]). Individuals meeting both PA goals early in treatment achieve greater weight losses than those meeting MVPA but not step goals, pointing to the need to explore factors associated with nonadherence to each of the PA goals to better understand these potential targets for treatment refinement and adaptive interventions.

This study is the first to characterize subgroups of individuals engaged in a behavioral weight control program with distinct patterns of early physical activity (PA) goal attainment. These early PA patterns emerged as a novel factor associated with subsequent weight loss and provide an important lens to view early treatment engagement. The greatest weight losses were seen in the subgroup likely to meet program goals for both weekly minutes of moderate-to-vigorous PA and daily steps. Understanding the factors associated with PA goal attainment during the initial 2 months of a behavioral weight control program may provide insights that will allow early identification of likely treatment success and detect individuals at risk for reduced weight losses, which could signal individuals for whom additional or different support may then be directed to increase weight loss success.

Weight Status and Sedentary Behavior of Alzheimer's Disease Caregivers.

Objectives: In this study, we sought to characterize the weight status, sedentary behavior, and physical activity of caregivers of individuals with Alzheimer's disease. Methods: In 2014, we surveyed caregivers of individuals with Alzheimer's disease from the South Carolina Alzheimer's Disease Registry (N = 47) about their personal health behaviors. Additionally, a subset of individuals (N = 14) wore an accelerometer for 7 days. Results: Caregivers (N = 47) were mostly overweight or obese (85%) and self-reported a daily average sedentary time of 246.5 ± 203.0 minutes and 455.8 ± 291.4 minutes, as measured by 2 questionnaires. Objective measures indicated that persons spent an average of 769.4 ± 167.6 minutes per day (77.8% of their waking day) engaged in sedentary behavior. Conclusion: Given the negative health outcomes associated with both obesity and sedentary behavior, this is a vulnerable population that likely would benefit from interventions focused on weight management and reducing sedentary behavior.

Eating behavior and weight gain during pregnancy.

OBJECTIVES: Little is known about the relationship between eating behavior and weight gain during pregnancy. PURPOSE: Our objective was to assess the relationship among self-reported cognitive restraint, disinhibition, and hunger, and excessive gestational weight gain (GWG) as defined by the Institute of Medicine's (IOM) 2009 guidelines. Based on previous research examining eating behaviors and weight gain in non-pregnant women, we hypothesized that excessive GWG would be related to higher cognitive restraint, higher disinhibition, and higher perception of hunger. METHODS: 190 pregnant women from the Glowing study completed the Three-Factor Eating Questionnaire (TFEQ) at the enrollment visit, which included subscales assessing restraint, disinhibition, and hunger. Participants' height and weight from <10 weeks through 36 weeks gestation were measured, allowing classification within or in excess of the IOM guidelines adjusted for the week of the final measurement. RESULTS: The odds that a participant would gain weight above IOM recommendations was 1.2 times higher (OR = 1.17, 95% CI = 1.05-1.29) for each one-unit increase in the disinhibition subscale in the unadjusted logistic regression. However, after controlling for sociodemographic characteristics and baseline BMI categories, participants' TFEQ scores were not associated with the likelihood of having GWG above IOM guidelines. Eating behaviors subscales were modestly correlated with baseline BMI categories (all rs < 0.50 with p-values ranging from <0.001 to 0.619). CONCLUSIONS: Although disinhibition scores had a significant relationship with excessive GWG, the significance of this relationship was not sustained after adjusting for sociodemographic characteristics and baseline BMI categories.

Adding Financial Incentives to Online Group-Based Behavioral Weight Control: An RCT.

INTRODUCTION: Internet-delivered behavioral weight control is promising for expanding the reach and availability of weight management, but online programs produce lower weight losses than typically achieved in person. Financial incentives have been shown to increase weight losses. This study examined whether adding financial incentives for self-monitoring and achieving target weight losses increases weight losses attained in a fully online, group-based behavioral weight management program compared with the same program alone. STUDY DESIGN: This study was an RCT. SETTING/PARTICIPANTS: Adults with overweight and obesity (n=418; 91% female; 28% minority) were recruited from 2 clinical centers. INTERVENTION: The intervention was a 24-session online group-based behavioral weight control program with weekly synchronous chat sessions (Internet-only) or the same program with weekly financial incentives for self-monitoring body weight and dietary intake daily and for achieving target weight losses at 2 and 6 months (Internet + incentives). MAIN OUTCOME MEASURES: This study measured weight loss at 6 months and treatment engagement (attendance, self-monitoring of body weight, dietary intake, and physical activity). Data were collected between February 2016 and August 2018, and analyses were completed in 2019. RESULTS: Participants randomized to the Internet + incentives group lost more weight (-6.4 [SD=5.5] kg) than those in the Internet-only group (-4.7 [SD=6.6] kg; p<0.01). Further, a higher proportion of the Internet + incentives group achieved ≥5% weight loss (55%) than those in the Internet-only group (40%; p<0.05). Treatment engagement was higher in the Internet + incentives condition, with greater self-monitoring of behaviors targeted by incentives, as well as higher rates of behaviors not targeted and higher self-reported physical activity. Study retention was higher among those in the Internet + incentives condition (91%) than those in the Internet-only condition (81%; p=0.003). CONCLUSIONS: Adding financial incentives to a program delivered fully online increases weight losses compared with the program alone and can achieve weight losses comparable to in-person programs, offering potential for substantial geographic reach. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT02688621.

Association between urinary incontinence and depressive symptoms in overweight and obese women.

OBJECTIVE: The objective of the study was to determine the association between urinary incontinence (UI) and depressive symptoms. STUDY DESIGN: The study was a cross-sectional study of 338 incontinent and overweight women at baseline in the Program to Reduce Incontinence by Diet and Exercise trial. Depressive symptoms were defined as a Beck Depression Inventory score of 10 or greater. UI frequency was determined by a 7-day voiding diary. Symptom bother and quality of life were determined using the Urogenital Distress Inventory (UDI) and the Incontinence Impact Questionnaire (IIQ). Multivariable regression was used to estimate the association between UI and depressive symptoms. RESULTS: Women with depressive symptoms (n = 101) reported a higher mean number of UI episodes per week (28 vs 23; P = .005) and higher (worse) mean scores on the UDI (176 vs 162; P = .02) and IIQ (136 vs 97; P < .001) compared with women without depressive symptoms. The risk of having depressive symptoms increased with each 7-episode increase in UI per week (adjusted odds ratio [AOR], 1.10; 95% confidence interval [CI], 1.01-1.21), each 50-point increase in UDI (AOR, 1.27; 95% CI, 1.01-1.60), and each 50-point increase in IIQ (AOR, 1.44; 95% CI, 1.22-1.71). CONCLUSION: Urinary incontinence frequency, symptom bother, and quality of life are independently associated with depressive symptoms in overweight and obese women.

Enhancing group-based internet obesity treatment: A pilot RCT comparing video and text-based chat.

OBJECTIVE: Internet delivery of behavioural weight control interventions offers potential for broad geographic reach and accessibility, but weight losses online fall short of those produced with the same programme delivered in-person. This pilot study examined feasibility and preliminary efficacy of a video-based platform for delivering weekly chat as part of a 6-month, 24-session online group behavioural weight control programme compared with the established text-based format, which has produced the best online weight losses to date. METHOD: Women with obesity (N = 32) were randomized to either (a) weekly video group chat sessions and provided with a cellular-enabled scale (Video) or (b) Text-based weekly chat sessions and given a digital scale (Text) and followed for 6 months to determine weight loss and treatment engagement. RESULTS: Women randomized to the ideo condition lost more weight than those in the Text condition (-5.0 ± 6.0% vs. -3.0 ± 4.1%, respectively) at 6 months, although the difference was not statistically significant. However, women in the Video condition had significantly greater treatment engagement, with greater self-monitoring and website utilization than those in the Text condition. CONCLUSIONS: Videoconference delivery of group-based online weight control accompanied by a cellular-connected scale may promote greater treatment engagement and weight loss than text-based chat. A larger, adequately powered study is warranted to determine which elements drive these enhanced treatment outcomes.

Impact of a 12-month Inflammation Management Intervention on the Dietary Inflammatory Index, inflammation, and lipids.

BACKGROUND AND AIMS: The objective of this study was to assess the feasibility (ability to recruit participants and develop the 12-month intervention), acceptability (retention of participants in the intervention), and impact on systemic inflammation and Dietary Inflammatory Index (DII®) scores over a 12-month DII-based intervention. METHODS: Adults were recruited to participate in a self-selection trial (intervention: n = 61, in-person classes; control: n = 34, newsletters). Classes included participatory cooking and dietary recommendations focused on consuming a plant-based diet rich in anti-inflammatory foods (spices, vegetables, etc.). Changes in markers of inflammation, lipids, and DII were analyzed using general linear models with repeated measurements. RESULTS: At 3 months, intervention participants had significantly lower DII scores (-2.66 ± 2.44) compared to controls (-0.38 ± 2.56) (p < 0.01); but not at 12 months (P = 0.10). The only biomarker to approach a significant group effect or group-by-time interaction was CRP (P = 0.11 for the group-by-time interaction). CRP decreased by -0.65 mg/L (95%CI = 0.10-1.20, P = 0.02) at 12 months in the intervention group; no significant decrease was seen for the control group. With both groups combined at 3 months, those with the greatest decrease/improvement in DII score (tertile 1) compared with those whose scores increased (tertile 3) had greater reductions in CRP (-1.09 vs. +0.52 mg/L, P = 0.04), total cholesterol (-9.38 vs. +12.02 mg/dL, P = 0.01), and LDL cholesterol (-11.99 vs. +7.16 mg/dL, P = 0.01). CONCLUSIONS: Although the intervention group had reductions in DII and CRP, main inflammation and lipid outcomes did not differ between groups. Overall, those participants with the largest reduction in DII scores had the largest reductions in CRP and LDL and total cholesterol. Future interventions may need to have more components in place to support maintenance and continued reductions in the DII. CLINICALTRIALS. GOV IDENTIFIER: NCT02382458.

Impact of USPSTF practice guidelines on clinician weight loss counseling as reported by obese patients.

OBJECTIVES: This study assessed the impact of the US Preventive Services Task Force (USPSTF) guidelines recommending that clinicians provide weight loss counseling (WLC) to all their obese patients. METHODS: Pre-guideline (n=5524) and post-guideline (n=11,569) datasets were constructed from 2000 and 2005 Behavior Risk Factor Surveillance System survey data from eleven states which administered the weight control module in both years. Responses from obese (BMI> or =30), non-pregnant adults who had a check-up in the previous year were analyzed to determine proportion reporting WLC in the two surveys. Associations of WLC with selected demographics and health characteristics were examined, as well as with reports of weight loss efforts. RESULTS: Less than half of both pre- and post-guideline obese respondents reported receiving WLC from their clinician. There were no significant differences in adjusted odds of receiving WLC when comparing pre-guideline and post-guideline data. Obese respondents reporting WLC also had higher odds of reporting current efforts to lose weight compared to those reporting no WLC. CONCLUSIONS: The results suggest the USPSTF obesity-related guidelines have had little impact on clinician WLC behavior. Interventions to improve WLC by clinicians for their obese patients should be developed as practice guidelines alone do not appear to elicit appropriate counseling behavior.