Dissemination of the Look AHEAD Intensive Lifestyle Intervention in the United States Military: A Randomized Controlled Trial

Randomized Controlled Trials to Treat Obesity in Military Populations: A Systematic Review and Meta-Analysis

In recent years, overweight and obesity have reached an alarmingly high incidence and prevalence worldwide; they have also been steadily increasing in military populations. Military personnel, as an occupational group, are often exposed to stressful and harmful environments that represent a risk factor for disordered eating, with major repercussions on both physical and mental health. This study aims to explore the effectiveness of weight loss interventions and assess the significance of current obesity treatments for these populations. Three online databases (PubMed, PsycInfo, and Web of Science) were screened to identify randomized controlled trials (RCTs) aiming to treat obesity in active-duty military personnel and veterans. Random-effects meta-analyses were conducted for body weight (BW) and body mass index (BMI) values, both longitudinally comparing treatment groups from pre-to-post intervention and cross-sectionally comparing the treatment group to controls at the end of the intervention. A total of 21 studies were included: 16 cross-sectional (BW: n = 15; BMI: n = 12) and 16 longitudinal (BW: n = 15; BMI: n = 12) studies were meta-analyzed, and 5 studies were narratively synthesized. A significant small overall BW and BMI reduction from baseline to post-intervention was observed (BW: g = -0.10; p = 0.015; BMI: g = -0.32; p < 0.001), together with a decreased BMI (g = -0.16; p = 0.001) and nominally lower BW (g = -0.08; p = 0.178) in the intervention group compared to controls at the post-intervention time-point. Despite limitations, such as the heterogeneity across the included interventions and the follow-up duration, our findings highlight how current weight loss interventions are effective in terms of BW and BMI reductions in military populations and how a comprehensive approach with multiple therapeutic goals should be taken during the intervention.

A Postpartum Weight Loss-focused Stepped-care Intervention in a Military Population: A Randomized Controlled Trial

OBJECTIVE

Postpartum weight retention is associated with adverse health among both civilian and military women.

PURPOSE

The current study evaluated a stepped-care weight management intervention, Moms Fit 2 Fight, adapted for use in a pregnant and postpartum military population.

METHODS

Active duty women and other TRICARE beneficiaries (N = 430) were randomized to one of three conditions: gestational weight gain only (GWG-only) intervention (n =144), postpartum weight loss only (PPWL-only) intervention (n =142), or a combined GWG + PPWL intervention (n = 144). Those participants who received the PPWL intervention (i.e., the PPWL-only and GWG+PPWL conditions) were combined consistently with the pre-registered protocol and compared to those participants who did not receive the PPWL intervention in the primary analyses. Primary outcome data (i.e., postpartum weight retention) were obtained at 6-months postpartum by unblinded data collectors, and intent-to-treat analyses were conducted.

RESULTS

Retention at 6-months postpartum was 88.4%. Participants who received the PPWL intervention retained marginally less weight (1.31 kg) compared to participants that received the GWG-only intervention (2.39 kg), with a difference of 1.08 kg (p = .07). None of the measured covariates, including breastfeeding status, were significantly associated with postpartum weight retention. Of the participants who received the PPWL intervention, 48.1% participants returned to their pre-pregnancy weight at 6-months postpartum, with no significant differences compared to those who received the GWG-only intervention.

CONCLUSIONS

A behavioral intervention targeting diet and physical activity during the postpartum period had a trend for reduced postpartum weight retention.

CLINICAL TRIAL INFORMATION

The trial is registered on clinicaltrials.gov (NCT03057808).

Changes in self-reported and accelerometer-measured physical activity among pregnant TRICARE Beneficiaries

Background

Physical activity is recommended for all pregnant individuals and can prevent excessive gestational weight gain. However, physical activity has not been assessed among military personnel and other TRICARE beneficiaries, who experience unique military lifestyles. The current study assessed physical activity among pregnant TRICARE beneficiaries, both active duty and non-active duty, as measured by accelerometry and self-report data to examine potential predictors of physical activity engagement in the third trimester, and if self-report data was consistent with accelerometry data. We expected having a lower BMI, being active-duty, and having higher baseline physical activity engagement to be associated with higher physical activity at 32-weeks. We also hypothesized that accelerometry data would show lower physical activity levels than the self-reported measure.

Methods

Participants were 430 TRICARE adult beneficiaries (204 Active Duty; 226 non-Active Duty) in San Antonio, TX who were part of a randomized controlled parent study that implemented a stepped-care behavioral intervention. Participants were recruited if they were less than 12-weeks gestation and did not have health conditions precluding dietary or physical activity changes (e.g., uncontrolled cardiovascular conditions) or would contribute to weight changes. Participants completed self-report measures and wore an Actical Activity Monitor accelerometer on their wrist to collect physical activity data at baseline and 32-weeks gestation.

Results

Based on the accelerometer data, 99% of participants were meeting moderate physical activity guidelines recommending 150 min of moderate activity per week at baseline, and 96% were meeting this recommendation at 32-weeks. Based on self-report data, 88% of participants at baseline and 92% at 32-weeks met moderate physical activity recommendations. Linear regression and zero-inflated negative binomial models indicated that baseline physical activity engagement predicted moderate physical activity later in pregnancy above and beyond BMI and military status. Surprisingly, self-reported data, but not accelerometer data, showed that higher baseline activity was associated with decreased vigorous activity at 32-weeks gestation. Additionally, self-report and accelerometry data had small correlations at baseline, but not at 32-weeks.

Conclusions

Future intervention efforts may benefit from intervening with individuals with lower pre-pregnancy activity levels, as those who are active seem to continue this habit.

Trial Registration

The trial is registered on clinicaltrials.gov (NCT 03057808).

Results of a 2-year lifestyle intervention for type 2 diabetes: the Reach Ahead for Lifestyle and Health-Diabetes randomized controlled trial

OBJECTIVE

The Reach Ahead for Lifestyle and Health (REAL HEALTH)-Diabetes study assessed the comparative effectiveness of two Look AHEAD (Action for Health in Diabetes)-adapted lifestyle intervention (LI) arms targeting weight loss in type 2 diabetes compared with medical nutrition therapy (MNT) referral. At 1 year, LI had greater weight loss than MNT. This study reports outcomes at 24 (end of LI) and 36 months.

METHODS

Participants (N = 211) with type 2 diabetes and BMI > 25 kg/m2 were randomly assigned to in-person LI, telephone conference call LI, or MNT. The primary outcome was percentage weight change. Secondary outcomes included 5% and 10% weight loss, glycated hemoglobin (HbA1c), and patient-reported outcomes.

RESULTS

Participants were 61.7 (SD 10.2) years old; 55% were female; 77% were non-Hispanic White; and had mean (SD) weight of 98 (18.9) kg and mean (SD) HbA1c of 7.7% (1.2%). Mean (SD) weight change at 24 and 36 months was -4.4% (5.9%) and -4.4% (5.4%) in in-person LI, -4.0% (5.8%) and -5.3% (6.4%) in telephone LI, and -3.1% (5.2%) and -5.8% (7.1%) in MNT, with no statistically significant difference in weight or HbA1c at 24 and 36 months. Compared with MNT, LI arms had favorable changes in patient-reported outcomes related to learned dietary skills.

CONCLUSIONS

There were no differences in weight outcomes among LI participants compared with referral to MNT at the end of intervention or 1 year after its conclusion.

An interim analysis of a gestational weight gain intervention in military personnel and other TRICARE beneficiaries

OBJECTIVE

Despite military fitness regulations, women in the military frequently experience overweight/obesity, excessive gestational weight gain (GWG), and the postpartum implications. This interim analysis of the Moms Fit 2 Fight study examines GWG outcomes among active-duty personnel and other TRICARE beneficiaries who received a stepped-care GWG intervention compared with those who did not receive a GWG intervention.

METHOD

Participants (N = 430; 32% identified with an underrepresented racial group, 47% were active duty) were randomized to receive a GWG intervention or the comparison condition, which did not receive a GWG intervention.

RESULTS

Retention was 88% at 32 to 36 weeks' gestation. Participants who received the GWG intervention gained less weight compared with those who did not (mean [SD] = 10.38 [4.58] vs. 11.80 [4.87] kg, p = 0.0056). Participants who received the intervention were less likely to have excessive GWG compared with those who did not (54.6% vs. 66.7%, p = 0.0241). The intervention effects were significant for participants who identified as White, but not for those of other racial identities. There were no significant differences between the conditions in maternal/neonatal outcomes.

CONCLUSIONS

The intervention successfully reduced excessive GWG, particularly among participants who identified as White. Should this intervention be found cost-effective, it may be sustainably integrated throughout the military prenatal care system.

Randomized trial of a novel lifestyle intervention compared with the Diabetes Prevention Program for weight loss in adult dependents of military service members

BACKGROUND

Lifestyle interventions are the first-line treatment for obesity, but participant weight loss is typically low.

OBJECTIVES

We evaluated the efficacy of an alternative lifestyle intervention [Healthy Weight for Living (HWL)] compared with a modified Diabetes Prevention Program (m-DPP). HWL was based on a revised health behavior change model emphasizing hunger management and the development of healthy food preferences. m-DPP was a standard Diabetes Prevention Program implemented with counselor time matched to HWL. Participants were adult dependents of military personnel and had overweight or obesity.

METHODS

Participants were randomly assigned to HWL (n = 121) or m-DPP (n = 117), delivered primarily by group videoconference with additional midweek emails. The primary outcome was 12-mo weight change. Secondary outcomes included 6-mo changes in cardiometabolic risk factors and diet. Intention-to-treat (ITT) and complete case (CC) analyses were performed using linear mixed models.

RESULTS

Retention did not differ between groups (72% and 66% for HWL and m-DPP at 12 mo, respectively; P = 0.30). Mean ± SE adjusted 12-mo weight loss in the ITT cohort was 7.46 ± 0.85 kg for HWL and 7.32 ± 0.87 kg for m-DPP (P = 0.91); in the CC cohort, it was 7.83 ± 0.82 kg for HWL and 6.86 ± 0.88 kg for m-DPP (P = 0.43). Thirty-eight percent of HWL and 30% of m-DPP completers achieved ≥10% weight loss (P = 0.32). Improvements in systolic blood pressure, LDL cholesterol, triglycerides, fasting glucose, general health, sleep, and mood were similar across groups; improvements in diastolic blood pressure were greater in m-DPP. Adjusted group mean reductions in energy intake were not significantly different between groups, but HWL participants were more adherent to their dietary prescription for lower glycemic index and high fiber and protein (P = 0.05 to <0.001 for ITT).

CONCLUSIONS

HWL and m-DPP showed equivalent and clinically impactful mean weight loss with cardiometabolic benefits. These results identify an alternative approach for behavioral treatment of overweight and obesity.This trial was registered at clinicaltrials.gov as NCT02348853.

Assessing the Contribution of Self-Monitoring Through a Commercial Weight Loss App: Mediation and Predictive Modeling Study

Background

Electronic self-monitoring technology has the potential to provide unique insights into important behaviors for inducing weight loss.

Objective

The aim of this study is to investigate the effects of electronic self-monitoring behavior (using the commercial Lose It! app) and weight loss interventions (with differing amounts of counselor feedback and support) on 4- and 12-month weight loss.

Methods

In this secondary analysis of the Fit Blue study, we compared the results of two interventions of a randomized controlled trial. Counselor-initiated participants received consistent support from the interventionists, and self-paced participants received assistance upon request. The participants (N=191), who were active duty military personnel, were encouraged to self-monitor their diet and exercise with the Lose It! app or website. We examined the associations between intervention assignment and self-monitoring behaviors. We conducted a mediation analysis of the intervention assignment for weight loss through multiple mediators—app use (calculated from the first principal component [PC] of electronically collected variables), number of weigh-ins, and 4-month weight change. We used linear regression to predict weight loss at 4 and 12 months, and the accuracy was measured using cross-validation.

Results

On average, the counselor-initiated–treatment participants used the app more frequently than the self-paced–treatment participants. The first PC represented app use frequencies, the second represented calories recorded, and the third represented reported exercise frequency and exercise caloric expenditure. We found that 4-month weight loss was partially mediated through app use (ie, the first PC; 60.3%) and the number of weigh-ins (55.8%). However, the 12-month weight loss was almost fully mediated by 4-month weight loss (94.8%). Linear regression using app data from the first 8 weeks, the number of self–weigh-ins at 8 weeks, and baseline data explained approximately 30% of the variance in 4-month weight loss. App use frequency (first PC; P=.001), self-monitored caloric intake (second PC; P=.001), and the frequency of self-weighing at 8 weeks (P=.008) were important predictors of 4-month weight loss. Predictions for 12-month weight with the same variables produced an R² value of 5%; only the number of self–weigh-ins was a significant predictor of 12-month weight loss. The R² value using 4-month weight loss as a predictor was 31%. Self-reported exercise did not contribute to either model (4 months: P=.77; 12 months: P=.15).

Conclusions

We found that app use and daily reported caloric intake had a substantial impact on weight loss prediction at 4 months. Our analysis did not find evidence of an association between participant self-monitoring exercise information and weight loss. As 12-month weight loss was completely mediated by 4-month weight loss, intervention targets should focus on promoting early and frequent dietary intake self-monitoring and self-weighing to promote early weight loss, which leads to long-term success.

Trial Registration

ClinicalTrials.gov NCT02063178; https://clinicaltrials.gov/ct2/show/NCT02063178

Counselor Efficiency at Providing Feedback in a Technology-Based Behavioral Weight Loss Intervention: Longitudinal Analysis

BACKGROUND

Feedback for participants' self-monitoring is a crucial and costly component of technology-based weight loss interventions. Detailed examination of interventionist time when reviewing and providing feedback for online self-monitoring data is lacking.

OBJECTIVE

The aim of this study was to longitudinally examine the time counselors spent providing feedback on participant self-monitoring data (ie, diet, physical activity, weight) in a 12-month technology-based weight loss intervention. We hypothesized that counselors would compose feedback for participants more quickly over time.

METHODS

The time the lay counselors (N=10) spent reviewing self-monitoring records and providing feedback to participants via email was longitudinally examined for all counselors across the three years of study implementation. Descriptives were observed for counselor feedback duration across counselors by 12 annual quarters (ie, 3-month periods). Differences in overall duration times by each consecutive annual quarter were analyzed using Wilcoxon-Mann-Whitney tests.

RESULTS

There was a decrease in counselor feedback duration from the first to second quarter (mean 53 to 46 minutes; P<.001), and from the second to third (mean 46 to 30 minutes; P<.001). A trend suggested a decrease from the third to fourth quarter (mean 30 to 26 minutes; P=.053), but no changes were found in subsequent quarters. Consistent with the hypothesis, counselors may be increasing their efficiency in providing feedback; across 12 months, counselors spent less time reviewing participant self-monitoring and composing feedback (decreasing from mean 53 to 26 minutes).

CONCLUSIONS

Counselors used increasingly less time to review online self-monitoring data and compose feedback after the initial 9 months of study implementation. Results inform counselor costs for future technology-based behavioral weight loss interventions. For example, regardless of increasing counselor efficiency, 25-30 minutes per feedback message is a high cost for interventions. One possibility for reducing costs would be generating computer-automated feedback.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02063178; https://clinicaltrials.gov/ct2/show/NCT02063178.

Effectiveness of Lifestyle Interventions in an Active Duty Air Force Population

PURPOSE

To examine the effectiveness of 3 lifestyle intervention programs in an active duty military population.

DESIGN

Experimental design with stratified random assignment to 1 of 3 intervention groups. Measures were taken at baseline, 3 months and 6 months.

SETTING

A Military Treatment Facility in the western U.S.

SUBJECTS/INTERVENTION

122 active duty service members were enrolled and randomly assigned to 1 of 3 lifestyle intervention programs: the Diabetes Prevention Program-Group Lifestyle Balance (DPP-GLB), the Better Body Better Life (BBBL) program or the Fitness Improvement Program (FIP).

MEASURES

weight, abdominal circumference, lipid and HbA1c levels, physical activity, and well-being as measured by the RAND SF-36 questionnaire.

ANALYSIS

Statistical analyses were performed to assess changes over time.

RESULTS

83 participants completed the study (BBBL N = 23, FIP N = 30, DPP-GLB N = 30). The DPP-GLB participants had statistically significant decreases in weight (-3.1 pounds, p = .01) and abdominal circumference (-0.9 inches; p = .01) over time. HbA1c was also significantly lower in this group at 6 months compared to baseline (p = .036). There were no statistically significant changes in weight, abdominal circumference, or HbA1c in the FIP or BBBL groups. No significant changes were observed in lipids in any of the groups.

CONCLUSION

Results from this study indicate that the DPP-GLB program may be effective in reducing weight, abdominal circumference, and HbA1c in an active duty U.S. military population.

Efficacy of Weight Loss Interventions in United States Active Duty Military Populations: A Systematic Review

BACKGROUND

Since the beginning of overseas contingency operations, the percent of service members who are considered overweight or obese has tripled to 15% for men and 20% for women. This has implications for national security if the country is unable to staff its military with fit-to-fight individuals. The purpose of this systematic review is to move policy efforts forward by illuminating the efficacy of several lifestyle interventions for active duty service members since 2001. It aims to both identify common aspects of successful interventions and also identify interventions without success so DoD leaders may replace those initiatives.

MATERIALS AND METHODS

The electronic database PubMed was searched from September 11, 2001 to May 15, 2020. Studies were included if the target population was United States active duty service members from any branch, the study included an intervention, and the measured outcome was weight loss. Seven studies met final inclusion criteria.

RESULTS

Interventions with corresponding weight loss data are summarized in Table III. This review found that there is not a sufficient body of evidence to determine if interventions to aid active duty service members in losing weight are effective.

CONCLUSION

However, as a collection, the studies could support the notion that military members get the best results when interventions are convenient, modern, personalized, and accessible. More studies are needed, and future studies with larger sample sizes and longer durations would be valuable in determining efficacy of weight loss interventions. Undoubtedly, enrollment and compliance is difficult with military member moves and competing mission requirements. Ideally, the DoD should work to aggregate the efforts in this field, as many initiatives are not captured, shared, and utilized by other installations or other services. Data silos and unpublished or underdeveloped research reactively addresses issues and does not proactively address them. Policy change will need to be nested in further research, as well as consider the food environment on bases and possible prevention efforts.

Effectiveness of Lifestyle Intervention for Type 2 Diabetes in Primary Care: the REAL HEALTH-Diabetes Randomized Clinical Trial

BACKGROUND

Intensive lifestyle interventions (LI) improve outcomes in obesity and type 2 diabetes but are not currently available in usual care.

OBJECTIVE

To compare the effectiveness and costs of two group LI programs, in-person LI and telephone conference call (telephone LI), to medical nutrition therapy (MNT) on weight loss in primary care patients with type 2 diabetes.

DESIGN

A randomized, assessor-blinded, practice-based clinical trial in three community health centers and one hospital-based practice affiliated with a single health system.

PARTICIPANTS

A total of 208 primary care patients with type 2 diabetes, HbA1c 6.5 to < 11.5, and BMI > 25 kg/m² (> 23 kg/m² in Asians).

INTERVENTIONS

Dietitian-delivered in-person or telephone group LI programs with medication management or MNT referral.

MAIN MEASURES

Primary outcome: mean percent weight change.

SECONDARY OUTCOMES

5% and 10% weight loss, change in HbA1c, and cost per kilogram lost.

KEY RESULTS

Participants' mean age was 62 (SD 10) years, 45% were male, and 77% were White, with BMI 35 (SD 5) kg/m² and HbA1c 7.7 (SD 1.2). Seventy were assigned to in-person LI, 72 to telephone LI, and 69 to MNT. The mean percent weight loss (95% CI) at 6 and 12 months was 5.6% (4.4-6.8%) and 4.6% (3.1-6.1%) for in-person LI, 4.6% (3.3-6.0%) and 4.8% (3.3-6.2%) for telephone LI, and 1.1% (0.2-2.0%) and 2.0% (0.9-3.0%) for MNT, with statistically significant differences between each LI arm and MNT (P < 0.001) but not between LI arms (P = 0.63). HbA1c improved in all participants. Compared with MNT, the incremental cost per kilogram lost was $789 for in-person LI and $1223 for telephone LI.

CONCLUSIONS

In-person LI or telephone group LI can achieve good weight loss outcomes in primary care type 2 diabetes patients at a reasonable cost.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02320253.

Seasonal fluctuations in weight and self-weighing behavior among adults in a behavioral weight loss intervention

PURPOSE

The current study aimed to observe potential seasonal fluctuations in weight and self-weighing behavior among a diverse sample of adults engaged in a behavioral weight loss intervention.

METHODS

Active duty personnel (N = 248) were randomized to either a counselor-initiated or self-paced 12-month behavioral weight loss intervention promoting daily self-weighing. Body weight and self-weighing frequency were collected from electronic scales (e-scales) provided at baseline.

RESULTS

Overall, participants lost weight from winter to spring (p = 0.02) and gained weight from fall to winter (p < 0.001). No demographic differences in weight changes were observed. Participants self-weighed less frequently during summer compared to spring (p < 0.0001), less in fall compared to summer (p < 0.0001), and less in winter compared to fall (p < 0.0001). In multivariate models, weight change and self-weighing frequency during the previous season, as well as days since randomization and intervention intensity were associated with seasonal weight changes.

CONCLUSIONS

This study is the first to observe seasonal fluctuations of weight and self-weighing behavior among adults actively engaged in a weight loss intervention, consistent with research in the general population. Findings highlight the importance of acknowledging seasonal influence within weight loss programs and trials.

LEVEL OF EVIDENCE

Level I, randomized controlled trial.

Weight Loss Intervention Impact on the Physical Fitness Test Scores of Air Force Service Members

INTRODUCTION

Overweight and obesity are a major public health concern in the United States, including among active duty military personnel. Approximately 51% of active duty personnel are classified as overweight and 15% are classified as obese. This may impact military readiness. The current study aimed to determine if a weight loss intervention impacted fitness test scores among Air Force personnel.

MATERIALS AND METHODS

From 2014 to 2016, 204 Air Force members with overweight/obesity were randomized into either a Self-paced or counselor-initiated arm in a weight loss program. Study procedures were approved by the Institutional Review Board of the 59th Medical Wing in San Antonio and were acknowledged by the Institutional Review Board at the University of Tennessee Health Science Center. Fitness test scores from before, during, and after the intervention were used to determine if the intervention resulted in improvements in overall fitness test ratings and scores on individual components of the test.

RESULTS

Participants who lost at least 5% of their weight had better fitness ratings during the intervention compared to individuals who did not lose 5%. However, in the overall sample, fitness ratings worsened from preintervention to during the intervention, and from during to postintervention. Participants with overweight had better aerobic scores pre- and postintervention as well as better abdominal circumference scores and better fitness test ratings preintervention, during the intervention and postintervention compared to participants with obesity.

CONCLUSIONS

Behavioral weight management interventions that achieve 5% weight loss may help improve military fitness test ratings.

Cost-Effectiveness of a Weight Loss Intervention: An Adaptation of the Look AHEAD Lifestyle Intervention in the US Military

OBJECTIVE

This study aimed to assess whether a counselor-initiated (CI) adaptation of the Look AHEAD (Action for Health in Diabetes) intensive lifestyle intervention in a military setting was cost-effective relative to a self-paced (SP) adaptation.

METHODS

A cost-effectiveness analysis from a payer perspective was performed alongside a 2014-2017 randomized behavioral weight loss trial among 248 active-duty military personnel stationed at a US Air Force base in Texas. Incremental cost-effectiveness ratios were calculated for weight loss, reductions in waist circumference, and quality-adjusted life-years (QALYs).

RESULTS

After 12 months, the CI adaptation cost more per participant compared with the SP adaptation ($1,081 vs. $120) but achieved greater weight loss (1.86 kg vs. 0.06 kg), greater reductions in waist circumference (1.85 cm vs. 0.48 cm), and more QALYs (0.871 vs. 0.856). The incremental cost-effectiveness ratio for the CI adaptation relative to the SP adaptation was $61,268 per additional QALY. At willingness-to-pay thresholds of $50,000 and $100,000 per QALY, the CI adaptation was 45% and 49% likely to be cost-effective, respectively.

CONCLUSIONS

The CI delivery of the Look AHEAD Intensive Lifestyle Intervention may offer a cost-effective approach to tackle excess weight in the US military.

Do the holidays impact weight and self-weighing behaviour among adults engaged in a behavioural weight loss intervention?

We examined the U.S. holiday period impact on weight gain, self-weighing, and treatment success among adults in a weight loss intervention (N=171). Using electronic scales, body weight and self-weighing frequency were compared by time period [i.e., pre-holiday, holiday (November 15-January 1), post-holiday]. Self-weighing was less frequent during holiday period (p<.01), and longer intervention engagement was associated with weight gain (p<.0001) during this time. Enrollment during holiday period was associated with 2.3% 12-month weight loss. Holiday period enrollment might be beneficial for preventing holiday weight gain and facilitating successful intervention outcomes.

Changes in the Perceptions of Self-weighing Across Time in a Behavioral Weight Loss Intervention

OBJECTIVE

Changes in beliefs about self-weighing were examined across time in a behavioral weight loss intervention.

METHODS

Active duty military personnel (n = 248) enrolled in a 12-month counselor-initiated or self-paced intervention based on the Look AHEAD (Action for Health in Diabetes) Intensive Lifestyle Intervention. Using an electronic scale, participants were asked to self-weigh daily. Self-weighing perceptions were compared from baseline to 4 months (weight loss phase), from 4 months to 12 months (weight maintenance phase), and from baseline to 12 months (full intervention), as well as across time by behavioral and demographic characteristics.

RESULTS

Overall, participants perceived self-weighing as more helpful and positive, less frustrating, and making them less self-conscious after the weight loss phase. After weight maintenance, individuals believed self-weighing was less helpful and positive, more frustrating and anxiety provoking, and making them more self-conscious. However, after the intervention, participants still viewed self-weighing as more helpful and positive and less frustrating than at baseline. Weight change, self-weighing behavior prior to the intervention, and intervention condition were associated with perception change. Controlling for these influencing factors, differences in gender, BMI, age, ethnicity, and race were observed in how beliefs changed across time.

CONCLUSIONS

Results suggest engaging in a weight loss intervention promoting daily self-weighing increases positive and decreases negative beliefs about self-weighing.