Exploring potential reach and representativeness of a self-weighing weight gain prevention intervention in adults with overweight and obesity

Most adults with obesity do not enrol in comprehensive weight loss interventions when offered. For these individuals, lower burden self-weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m2 (or 25-30 kg/m2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low-burden weight gain prevention intervention focused on daily self-weighing using a cellular network-connected in-home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self-weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m2), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self-weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self-weighing intervention was that it would make individuals overly focused on weight. A low-intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.

Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial

BACKGROUND

The prevalence of obesity and its associated comorbidities continue to rise in the United States. Populations who are uninsured and from racial and ethnic minority groups continue to be disproportionately affected. These populations also experience fewer clinically meaningful outcomes in most weight loss trials. Weight gain prevention presents a useful strategy for individuals who experience barriers to weight loss. Given the often-limited weight management resources available to patients in primary care settings serving vulnerable patients, evaluating interventions with pragmatic designs may help inform the design of comprehensive obesity care delivered in primary care.

OBJECTIVE

This study aims to evaluate the effectiveness of Balance, a 2-arm, 12-month pragmatic randomized controlled trial of a digital weight gain prevention intervention, delivered to patients receiving primary care within federally qualified community health centers.

METHODS

Balance was a 2-arm, 12-month pragmatic randomized controlled trial of a digital weight gain prevention intervention delivered to individuals who had a BMI of 25-40 kg/m2, spoke English or Spanish, and were receiving primary care within a network of federally qualified community health centers in North Carolina. The Balance intervention was designed to encourage behavioral changes that result in a slight energy deficit. Intervention participants received tailored goal setting and tracking, skills training, self-monitoring, and responsive health coaching from registered dietitians. Weight was measured at regular primary care visits and documented in the electronic health record. We compared the percentage of ≤3% weight gain in each arm at 24 months after randomization-our primary outcome-using individual empirical best linear unbiased predictors from the linear mixed-effects model. We used individual empirical best linear unbiased predictors from participants with at least 1 electronic health record weight documented within a 6-month window centered on the 24-month time point.

RESULTS

We randomized 443 participants, of which 223 (50.3%) participants were allocated to the intervention arm. At baseline, participants had a mean BMI of 32.6 kg/m2. Most participants were Latino or Hispanic (n=200, 45.1%) or non-Latino or Hispanic White (n=115, 26%). In total, 53% (n=235) of participants had at least 1 visit with weight measured in the primary time window. The intervention group had a higher proportion with ≤3% weight gain at 6 months (risk ratio=1.12, 95% CI 0.94-1.28; risk difference=9.5, 95% CI -4.5 to 16.4 percentage points). This difference attenuated to the null by 24 months (risk ratio=1.00, 95% CI 0.82-1.20; risk difference=0.2, 95% CI -12.1 to 11.0 percentage points).

CONCLUSIONS

In adults with overweight or obesity receiving primary care at a community health center, we did not find long-term evidence to support the dissemination of a digital health intervention for weight gain prevention.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03003403; https://clinicaltrials.gov/study/NCT03003403.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12889-019-6926-7.

Life events and stress among young adults in weight gain prevention trial

OBJECTIVE

Young adults (YAs) are at high risk for weight gain and show high variability in treatment response. Life events and high perceived stress are common in YAs and could drive less favorable outcomes. The goal was to examine whether life events and stress were related to program engagement and weight outcomes in a weight gain prevention trial for YAs.

METHOD

Secondary analysis from the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized clinical trial (N = 599, 18-35 years, BMI 21-30 kg/m²). Both intervention arms received 10 in-person sessions over 4 months, with long-term contact via web and SMS. Participants completed the CARDIA life events survey and Cohen Perceived Stress Scale-4 at 0 and 4 months; weight was objectively measured at 0, 4 months, and 1, 2, 3, and 4 years.

RESULTS

Participants who experienced more life events prior to study entry had lower session attendance (p < .01) and retention (p < .01), although no differences in weight outcomes were observed (p = .39). Baseline perceived stress followed a similar pattern. Participants who experienced more life events and higher perceived stress during the initial in-person program (0-4 months) appeared to experience less favorable weight outcomes long-term (p = .05 for life events, p = .04 for stress). Very few associations differed by treatment arm.

CONCLUSIONS

Experiencing more life events and stress was negatively associated with program engagement and may impair long-term weight outcomes for YAs. Future work should consider identifying YAs at highest risk and tailoring interventions to better meet their needs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A small change approach on adiposity, lean mass and bone mineral density in adults with overweight and obesity: A randomized controlled trial

We sought to determine whether small changes in physical activity and diet could prevent adverse changes in body composition over 2 years in adults with overweight and obesity. Previously inactive adults (N = 289) were included in a secondary analysis of data derived from a 3-year, single-centre, two-arm, longitudinal randomized controlled trial. Participants were randomized to a small change approach (N = 144, body mass index: 32.4 ± 4.2 [mean ± standard deviation], age: 52.3 ±. 10.6 years) or usual care (N = 145, body mass index: 32.4 ± 4.2, age: 53.1 ± 10.6 years). Small change approach participants were counselled to make small changes in diet and physical activity, while usual care participants were asked to maintain their usual lifestyle. Adiposity, lean mass and bone mineral density were measured by dual-x-ray absorptiometry. The change in total adiposity was significantly greater in the small change approach group than usual care at 6 and 12 months but did not remain significant at 24 months (mean change [standard error] -0.8 [0.4] vs. -0.7 [0.4] kg; difference 0.6, 95% confidence interval [CI] -1.2 to 1.1). Changes in visceral fat were significantly greater in the small change approach than usual care at 6 and 12 months but did not remain significant at 24 months (-0.04 [0.03] vs. 0.02 [0.03] kg; difference 0.06, 95% CI: -1.5 to 0.3). Changes in lean mass or bone mineral density were not significantly different between groups at any time point (all p > 0.1). The small change approach did not prevent gains in adiposity or losses in lean mass compared to usual care at 2 years in adults with overweight or obesity. No difference from baseline in adiposity, lean mass or bone mineral density was observed in either arm of the trial.

Is a small change approach for weight management effective? A systematic review and meta-analysis of randomized controlled trials

Traditional weight management interventions typically involve people making large changes to their energy intake and/or expenditure and can be effective in the short term, but weight regain is common. An alternative strategy is a small change approach, which asks people to make small(er) changes to their diet and/or physical activity behaviors (e.g., 100-kcal reduction or increases of 1000 steps/day). This approach may lead to sustained weight management because such energy-deficit goals are easier for people to integrate into their lives and then maintain. This systematic review and meta-analysis of randomized and quasi-randomized controlled trials assessed the effectiveness of a small change approach for weight management; 21 trials were included. In weight gain prevention trials with adults, the mean difference in weight change between groups was -0.7 kg (95% CI -1.0 to -0.4, 95% PI -1.1 to -0.3) at program-end and -0.9 kg (95% CI -1.5 to -0.3, 95% PI -3.1 to 1.3) at last follow-up, favoring small change interventions. A small change approach was not effective for weight loss. Only 2/21 trials had a low risk of bias. Initial evidence supports the effectiveness of a small change approach for weight gain prevention but not weight loss. Further high-quality trials with longer follow-up are required.

Behaviour Change Techniques in Weight Gain Prevention Interventions in Adults of Reproductive Age: Meta-Analysis and Meta-Regression

Weight gain prevention interventions are likely to be more effective with the inclusion of behaviour change techniques. However, evidence on which behaviour change techniques (BCT) are most effective for preventing weight gain and improving lifestyle (diet and physical activity) is limited, especially in reproductive-aged adults. This meta-analysis and meta-regression aimed to identify BCT associated with changes in weight, energy intake and physical activity in reproductive-aged adults. BCT were identified using the BCT Taxonomy (v1) from each intervention. Meta-regression analyses were used to identify BCT associated with change in weight, energy intake and physical activity. Thirty-four articles were included with twenty-nine articles for the meta-analysis. Forty-three of the ninety-three possible BCT listed in the taxonomy were identified in the included studies. Feedback on behaviour and Graded tasks were significantly associated with less weight gain, and Review behaviour goals was significantly associated with lower energy intake. No individual BCT were significantly associated with physical activity. Our analysis provides further evidence for which BCT are most effective in weight gain prevention interventions. The findings support that the use of key BCT within interventions can contribute to successful weight gain prevention in adults of reproductive age.

Patterns of weight change in a weight gain prevention study for young adults

OBJECTIVE

Recovery from weight regain is uncommon during weight loss treatment. This study examined whether participants in a weight gain prevention intervention similarly struggle to recover following weight gains and which factors predict transitions.

METHODS

This is a secondary analysis of data from the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized controlled trial comparing two weight gain prevention interventions with a control group. Young adults (n = 599; age 18-35 years) were followed over 3 years. Markov models identified transition rates in going above and returning below baseline weight across follow-up. Logistic regressions identified predictors of transitions.

RESULTS

At each time point, approximately double the number of participants who transitioned from below to above baseline transitioned from above to below. The magnitude of weight changes from baseline and the number of weight loss strategies used predicted transitions from below to above and above to below baseline weight (with opposite relationships). Infrequent self-weighing and lower dietary restraint predicted transitions below to above baseline weight. Treatment arm, demographics, calorie consumption, and physical activity generally did not predict transitions.

CONCLUSIONS

Young adults engaging in weight gain prevention struggle to lose gained weight. Alternative strategies are needed to address weight gains in weight gain prevention interventions.

Applying RE-AIM to Evaluate the External Validity of Weight Gain Prevention Interventions in Young Adults: A Systematic Review

OBJECTIVES

The purpose of this review was to use RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) to assess the extent to which weight gain prevention studies targeting young adults reported on elements of external validity.

DESIGN

Systematic review.

ELIGIBILITY CRITERIA

Articles of interest included a lifestyle/behavioral intervention targeting weight gain prevention. Eligibility criteria included the following: study design of randomized controlled trials, quasi-randomized control trials, or natural experiments; average participant age between 18 and 35 years; study duration of at least 12 months; and published in English between January 2008 and May 2018. Studies had to report weight or body mass index as a measured outcome and were excluded if they were paired with smoking cessation programs, were conducted in specific groups (ie, pregnant women, breast cancer survivors), or were follow-ups to weight loss studies.

STUDY SELECTION

After removing duplicates, the search yielded 11426 articles. Titles and abstracts were screened by 1 reviewer; 144 articles were assessed in a full-text review by 2 reviewers. Discrepancies were resolved by consensus. Nine studies (13 articles) were included in the review.

MAIN OUTCOMES MEASURES

Reported elements of the RE-AIM framework.

RESULTS

A total of 9 studies met the selection criteria. All studies lacked full reporting on external validity elements. Of the total of 60 RE-AIM reporting criteria, 8 were reported by all 9 studies, 26 criteria were reported by fewer than 4 studies, and 22 criteria were not reported by any of the studies.

DISCUSSION

There remains inadequate reporting of elements of external validity and generalizability in weight gain prevention studies. This is a significant scientific constraint that limits the information required to disseminate and implement prevention of weight gain interventions for population impact. Standardized reporting may be needed to ensure results that demonstrate not only internal validity but also external validity and generalizability are needed to promote public health impact.

Usability and experience testing to refine an online intervention to prevent weight gain in new kidney transplant recipients

OBJECTIVES

Weight gain in the first year following kidney transplantation increases the risk of adverse health outcomes. Currently, there is no recognized intervention available to prevent weight gain after kidney transplantation. An online kidney transplant-specific resource, entitled Exercise in Renal Transplant Online (ExeRTiOn), has been co-created by a multi-professional team, including patients, to assist with weight prevention. This study aimed to evaluate patient and health care professional usability and experience of the ExeRTiOn online resource.

DESIGN

Qualitative study utilizing 'Think-Aloud' and semi-structured interviews.

METHODS

Participants (n = 17) were purposively sampled to include new kidney transplant recipients (n = 11) and transplant health care professionals (n = 6). Kidney transplant recipient participants were from a spread of physical activity levels based on scores from the General Practice Physical Activity Questionnaire (GPPAQ). 'Think-Aloud' interviews assessed the usability of ExeRTiOn. Semi-structured interviews explored participants' experience of ExeRTiOn, weight gain, and physical activity. The data set were analysed thematically. Participant characteristics, including login data and self-reported body weight, were collected.

RESULTS

Data analyses identified valued intervention content and usability aspects which were summarized by two themes. The first theme 'You need to know how to manage yourself' included subthemes: (1) the resource filled a guidance gap, (2) expert patient content resonated, and (3) the importance of goal setting and monitoring progress. The second theme 'room for improvement' included subthemes: (2) web support and (2) content and operational change suggestions.

CONCLUSIONS

Results have allowed for identification of potential areas for resource refinement. This has facilitated iterative enhancement of ExeRTiOn in preparation for a randomized controlled feasibility trial.

Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis

BACKGROUND

Obesity and lack of physical activity are major health risk factors for many life-threatening diseases, such as cardiovascular diseases, type 2 diabetes, and cancer. The use of mobile app interventions to promote weight loss and boost physical activity among children and adults is fascinating owing to the demand for cutting-edge and more efficient interventions. Previously published studies have examined different types of technology-based interventions and their impact on weight loss and increase in physical activity, but evidence regarding the impact of only a mobile phone app on weight loss and increase in physical activity is still lacking.

OBJECTIVE

The main objective of this study was to assess the efficacy of a mobile phone app intervention for reducing body weight and increasing physical activity among children and adults.

METHODS

PubMed, Google Scholar, Scopus, EMBASE, and the Web of Science electronic databases were searched for studies published between January 1, 2000, and April 30, 2019, without language restrictions. Two experts independently screened all the titles and abstracts to find the most appropriate studies. To be included, studies had to be either a randomized controlled trial or a case-control study that assessed a mobile phone app intervention with body weight loss and physical activity outcomes. The Cochrane Collaboration Risk of Bias tool was used to examine the risk of publication bias.

RESULTS

A total of 12 studies involving a mobile phone app intervention were included in this meta-analysis. Compared with the control group, the use of a mobile phone app was associated with significant changes in body weight (-1.07 kg, 95% CI -1.92 to -0.21, P=.01) and body mass index (-0.45 kg/m2, 95% CI -0.78 to -0.12, P=.008). Moreover, a nonsignificant increase in physical activity was observed (0.17, 95% CI -2.21 to 2.55, P=.88).

CONCLUSIONS

The findings of this study demonstrate the promising and emerging efficacy of using mobile phone app interventions for weight loss. Future studies are needed to explore the long-term efficacy of mobile app interventions in larger samples.

Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis

Background

Obesity and lack of physical activity are major health risk factors for many life-threatening diseases, such as cardiovascular diseases, type 2 diabetes, and cancer. The use of mobile app interventions to promote weight loss and boost physical activity among children and adults is fascinating owing to the demand for cutting-edge and more efficient interventions. Previously published studies have examined different types of technology-based interventions and their impact on weight loss and increase in physical activity, but evidence regarding the impact of only a mobile phone app on weight loss and increase in physical activity is still lacking.

Objective

The main objective of this study was to assess the efficacy of a mobile phone app intervention for reducing body weight and increasing physical activity among children and adults.

Methods

PubMed, Google Scholar, Scopus, EMBASE, and the Web of Science electronic databases were searched for studies published between January 1, 2000, and April 30, 2019, without language restrictions. Two experts independently screened all the titles and abstracts to find the most appropriate studies. To be included, studies had to be either a randomized controlled trial or a case-control study that assessed a mobile phone app intervention with body weight loss and physical activity outcomes. The Cochrane Collaboration Risk of Bias tool was used to examine the risk of publication bias.

Results

A total of 12 studies involving a mobile phone app intervention were included in this meta-analysis. Compared with the control group, the use of a mobile phone app was associated with significant changes in body weight (−1.07 kg, 95% CI −1.92 to −0.21, P=.01) and body mass index (−0.45 kg/m2, 95% CI −0.78 to −0.12, P=.008). Moreover, a nonsignificant increase in physical activity was observed (0.17, 95% CI −2.21 to 2.55, P=.88).

Conclusions

The findings of this study demonstrate the promising and emerging efficacy of using mobile phone app interventions for weight loss. Future studies are needed to explore the long-term efficacy of mobile app interventions in larger samples.

Experiences of African American Breast Cancer Survivors Using Digital Scales and Activity Trackers in a Weight Gain Prevention Intervention: Qualitative Study

BACKGROUND

The use of digital tools to promote daily self-weighing and daily activity tracking may be a promising strategy for weight control among African American breast cancer survivors (AABCS). There have been no studies exploring the acceptability and feasibility of using digital tools for weight control or qualitative studies characterizing perceptions of daily self-weighing and daily activity tracking among AABCS.

OBJECTIVE

This study aimed to explore the subjective experiences of daily self-weighing and daily activity tracking using digital tools, including wireless scales and activity trackers, in a sample of AABCS participating in two technology-based weight gain prevention interventions over 6 months.

METHODS

Semistructured interviews (N=21) were conducted in person or over the phone, were audio recorded, and then transcribed verbatim. Each transcript was read to identify key themes and develop a codebook. Each transcript was coded using Atlas.ti software, and code outputs were used to identify overarching themes and patterns in the data.

RESULTS

On average, participants were 52.6 (SD 8.3) years of age, with obesity at baseline (BMI 33.1 kg/m2, SD 5.9), and weighed on 123.4 (SD 48.0) days out of the 168 days (73.5%) in the study period. Women tended to attribute their weight gain to cancer treatment and framed program benefits in terms of improved quality of life and perceptions of prolonging their survival following treatment. Using the smart scale for daily self-weighing was viewed as the tool by which participants could control their weight and improve their health and well-being posttreatment. The activity tracker increased awareness of physical activity and motivated participants to be more active.

CONCLUSIONS

Participants reported positive experiences and benefits from daily self-weighing and daily activity tracking. Findings suggest that daily self-weighing and daily activity tracking using digital tools are well-received, acceptable, and feasible intervention strategies for AABCS in the context of posttreatment weight management.

Effects of Intervention Characteristics on Willingness to Initiate a Weight Gain Prevention Program

PURPOSE

To determine characteristics of weight gain prevention programs that facilitate engagement.

DESIGN

Randomized factorial experiment (5 × 2).

SETTING

Recruited nationally online.

PARTICIPANTS

Adults aged 18 to 75 with body mass index ≥25 who decline a behavioral weight loss intervention (n = 498).

MEASURES

Participants were randomly presented with one of 10 possible descriptions of hypothetical, free weight gain prevention programs that were all low dose and technology-based but differed in regard to 5 behavior change targets (self-weighing only; diet only; physical activity only; combined diet, physical activity, and self-weighing; or choice between diet, physical activity, and self-weighing targets) crossed with 2 financial incentive conditions (presence or absence of incentives for self-monitoring). Participants reported willingness to join the programs, perceived program effectiveness, and reasons for declining enrollment.

ANALYSIS

Logistic regression and linear regression to test effects of program characteristics offered on willingness to initiate programs and programs' perceived effectiveness, respectively. Content analyses for open-ended text responses.

RESULTS

Participants offered the self-weighing-only programs were more willing to initiate than those offered the programs targeting all 3 behaviors combined (50% vs 36%; odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.01-3.13). Participants offered the programs with financial incentives were more willing to initiate (50% vs 33%; OR = 2.08; 95% CI, 1.44-2.99) and anticipated greater intervention effectiveness (β = .34, P = .02) than those offered no financial incentives. Reasons for declining to initiate included specific program features, behavior targets, social aspects, and benefits.

CONCLUSION

Targeting self-weighing and providing financial incentives for self-monitoring may result in greater uptake of weight gain prevention programs.

STUDY PREREGISTRATION

https://osf.io/b9zfh, June 19, 2018.

Weight gain prevention content delivered to mothers: Lessons from an intervention embedded in a community organization

BACKGROUND

Transparent reporting of the intervention content study participants receive is particularly important for dissemination and implementation of evidence-based interventions to address obesity. This study explores intervention delivery and perceptions of content when an intervention is embedded within an organization's usual practice and associations with weight outcomes.

METHODS

This is a secondary analysis from the Healthy Eating and Active Living Taught at Home (HEALTH) randomized trial. HEALTH is a weight gain prevention intervention embedded within a national home visiting programme (Parents as Teachers, PAT). To be consistent with PAT practice, HEALTH has a suggested but also flexible home visit structure. Therefore, the number and frequency of home visits are determined by the family's needs and preferences based on the parent educator's professional judgement. The proportion of participants who received each curriculum core lesson was explored among the 105 families randomized to the HEALTH intervention group, as were mean parent educator perception ratings of the visits (5-point Likert-type scale). A chi-square test was used to examine the association between utilization (ie, low: 1-6, middle: 7-12, or high: 13-18 visits) category and weight maintenance.

RESULTS

Mothers received on average 13.3 (standard deviation 6.2) core visits. Mean parent educator perception of the mothers' response (out of 5) ranged from 3.99 to 4.27; educators' perception of their own experience with the lesson ranged from 4.13 to 4.34. Among mothers who maintained their weight, 13% were low, 22% were middle, and 65% were high utilizers, while among mothers who gained weight, 3%, 31%, and 67% were low, middle, and high utilizers, respectively; this difference was not statistically significant.

CONCLUSIONS

This study identified wide variation in the visits families received from the curriculum but minimal variation in visit perceptions. Future studies could explore whether there are optimal patterns for visit content, associated with successful outcomes.

Impact of a workplace holiday weight gain prevention program

BACKGROUND

The average worker gains 2-3 lb (0.9-1.4 kg) a year, about half of which is gained during the fall holiday season (Halloween through New Year's).

AIM

The aim of the study was to conduct a pilot test of a weight gain prevention program that was implemented in a workplace setting during the fall holiday season.

METHODS

239 state government employees participated in a weight gain prevention program offered during the fall holiday season. The program was a 10-week, team-based program that consisted of self-monitoring, regular weigh-ins, a team challenge, and organizational support. Weight was measured at baseline, every two weeks during the program, and post-program.

RESULTS

Participants lost a significant amount of weight (from 196.7 lb/89.2 kg to 192.3 lb/87.2 kg) during the program. Positive changes were observed in physical activity and eating behaviors.

CONCLUSIONS

This study demonstrated that a weight gain prevention program during a high risk period (fall holiday season) can be effective.

A Digital Behavioral Weight Gain Prevention Intervention in Primary Care Practice: Cost and Cost-Effectiveness Analysis

Background

Obesity is one of the largest drivers of health care spending but nearly half of the population with obesity demonstrate suboptimal readiness for weight loss treatment. Black women are disproportionately likely to have both obesity and limited weight loss readiness. However, they have been shown to be receptive to strategies that prevent weight gain.

Objective

The aim of this study was to evaluate the costs and cost-effectiveness of a digital weight gain prevention intervention (Shape) for black women. Shape consisted of adaptive telephone-based coaching by health system personnel, a tailored skills training curriculum, and patient self-monitoring delivered via a fully automated interactive voice response system.

Methods

A cost and cost-effectiveness analysis based on a randomized clinical trial of the Shape intervention was conducted from the payer perspective. Costs included those of delivering the program to 91 intervention participants in the trial and were summarized by program elements: self-monitoring, skills training, coaching, and administration. Effectiveness was measured in quality-adjusted life years (QALYs). The primary outcome was the incremental cost per QALY of Shape relative to usual care.

Results

Shape cost an average of US $758 per participant. The base-case model in which quality of life benefits decay linearly to zero 5 years post intervention cessation, generated an incremental cost-effectiveness ratio (ICER) of US $55,264 per QALY. Probabilistic sensitivity analyses suggest an ICER below US $50,000 per QALY and US $100,000 per QALY in 39% and 98% of simulations, respectively. Results are highly sensitive to durability of benefits, rising to US $165,730 if benefits end 6 months post intervention.

Conclusions

Results suggest that the Shape intervention is cost-effective based on established benchmarks, indicating that it can be a part of a successful strategy to address the nation’s growing obesity epidemic in low-income at-risk communities.

Weight and Shape Concern Impacts Weight Gain Prevention in the SNAP Trial: Implications for Tailoring Intervention Delivery

OBJECTIVE

The Study of Novel Approaches to Weight Gain Prevention (SNAP) trial demonstrated that two self-regulatory interventions prevented weight gain in young adults. Weight and shape concern (WSC) at baseline was evaluated as a moderator of weight outcomes at 24 months.

METHODS

Young adults (n = 599) were randomized to self-regulation with small changes (to create 200 kcal/day deficit), self-regulation with large changes (to facilitate preemptive weight loss of 5-10 lb), or self-guided control. WSC was assessed by using one item from the Eating Disorders Assessment. ANOVA was used to examine whether the association between baseline level of WSC and percent weight change over 24 months differed across treatment conditions.

RESULTS

Approximately 22% of participants reported high WSC (37% moderate; 41% low). WSC and treatment condition interacted to influence weight change at 24 months (P = 0.03). Individuals with high WSC gained weight in the large changes group (WSC least squares means ± SE, high: + 0.73% ± 1.19%; moderate: -2.74% ± 0.84%; low: -2.41% ± 0.79%). The small changes condition was particularly effective for those with high WSC (high WSC: -2.49% ± 1.16%; moderate: -0.60% ± 0.88%; low: -0.71% ± 0.80%). WSC did not impact weight change among control participants.

CONCLUSIONS

Individuals with high WSC may benefit from a small-changes approach to weight gain prevention. These findings indicate WSC may be used to match individuals to weight gain prevention treatment conditions.

The lifestyle behaviours of young adults with intellectual disabilities as they transition from school to adulthood: A pilot and feasibility study

BACKGROUND

In the general population, the transition from adolescence to adulthood has been identified as a "high-risk" period for weight gain. There has been no research examining health behaviours over this transition in adults with intellectual disabilities.

METHODS/DESIGN

The feasibility of recruitment, retention and relevant health behaviours were measured in 31 adolescents with mild-moderate intellectual disabilities. Anthropometric, objective physical activity, dietary and self-determination measures were collected over a 12-month transitional period from school to adulthood.

RESULTS

Key results suggest weight and BMI increased significantly from month 6 to month 12 (p = 0.044 and p = 0.043). Waist circumference increased significantly from baseline to month 12 (p = 0.049), and from month 6 to month 12 (p = 0.03).

DISCUSSION

Recruiting and retaining young adults with intellectual disabilities over a 12-month health behaviour study is feasible. The data indicate the transition from school to adulthood may be the start of a high-risk period for weight gain.

College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey

BACKGROUND

College freshmen are highly vulnerable to experiencing weight gain, and this phenomenon is associated with an increased risk of chronic diseases and mortality in older adulthood. Technology offers an attractive and scalable way to deliver behavioral weight gain prevention interventions for this population. Weight gain prevention programs that harness the appeal and widespread reach of Web-based technologies (electronic health or eHealth) are increasingly being evaluated in college students. Yet, few of these interventions are informed by college students' perspectives on weight gain prevention and related lifestyle behaviors.

OBJECTIVE

The objective of this study was to assess college freshmen students' concern about weight gain and associated topics, as well as their interest in and delivery medium preferences for eHealth programs focused on these topics.

METHODS

Web-based surveys that addressed college freshmen students' (convenience sample of N=50) perspectives on weight gain prevention were administered at the beginning and end of the fall 2015 semester as part of a longitudinal investigation of health-related issues and experiences in first semester college freshmen. Data on weight gain prevention-related concerns and corresponding interest in eHealth programs targeting topics of potential concern, as well as preferred program delivery medium and current technology use were gathered and analyzed using descriptive statistics.

RESULTS

A considerable proportion of the freshmen sample expressed concern about weight gain (74%, 37/50) and both traditional (healthy diet: 86%, 43/50; physical activity: 64%, 32/50) and less frequently addressed (stress: 82%, 41/50; sleep: 74%, 37/50; anxiety and depression: 60%, 30/50) associated topics within the context of behavioral weight gain prevention. The proportion of students who reported interest in eHealth promotion programs targeting these topics was also generally high (ranging from 52% [26/50] for stress management to 70% [35/50] for eating a healthy diet and staying physically active). Email was the most frequently used electronic platform, with 96% (48/50) of students reporting current use of it. Email was also the most frequently cited preferred eHealth delivery platform, with 86% (43/50) of students selecting it. Facebook was preferred by the second greatest proportion of students (40%, 20/50).

CONCLUSIONS

Most college freshmen have concerns about an array of weight gain prevention topics and are generally open to the possibility of receiving eHealth interventions designed to address their concerns, preferably via email compared with popular social media platforms. These preliminary findings offer a foundation to build upon when it comes to future descriptive investigations focused on behavioral weight gain prevention among college freshmen in the digital age.

Exploring Diet Quality between Urban and Rural Dwelling Women of Reproductive Age

Health disparities, including weight gain and obesity exist between urban and rural dwelling women. The primary aim was to compare diet quality in urban and rural women of reproductive age, and secondary analyses of the difference in macronutrient and micronutrient intake in urban and rural women, and the predictors of diet quality. Diet quality was assessed in urban (n = 149) and rural (n = 394) women by a modified version of the Dietary Guideline Index (DGI) energy, macronutrient and micronutrient intake from a food frequency questionnaire (FFQ) and predictors of diet quality. Diet quality did not significantly differ between urban and rural women (mean ± standard deviation (SD), 84.8 ± 15.9 vs. 83.9 ± 16.5, p = 0.264). Rural women reported a significantly higher intake of protein, fat, saturated fat, monounsaturated fat, cholesterol and iron and a higher score in the meat and meat alternatives component of the diet quality tool in comparison to urban women. In all women, a higher diet quality was associated with higher annual household income (>$Australian dollar (AUD) 80,000 vs. <$AUD80,000 p = 0.013) and working status (working fulltime/part-time vs. unemployed p = 0.043). Total diet quality did not differ in urban and rural women; however, a higher macronutrient consumption pattern was potentially related to a higher lean meat intake in rural women. Women who are unemployed and on a lower income are an important target group for future dietary interventions aiming to improve diet quality.

A Mobile Health Lifestyle Program for Prevention of Weight Gain in Young Adults (TXT2BFiT): Nine-Month Outcomes of a Randomized Controlled Trial

Background

The unprecedented rise in obesity among young adults, who have limited interaction with health services, has not been successfully abated.

Objective

The objective of this study was to assess the maintenance outcomes of a 12-week mHealth intervention on prevention of weight gain in young adults and lifestyle behaviors at 9 months from baseline.

Methods

A two-arm, parallel, randomized controlled trial (RCT) with subjects allocated to intervention or control 1:1 was conducted in a community setting in Greater Sydney, Australia. From November 2012 to July 2014, 18- to 35-year-old overweight individuals with a body mass index (BMI) of 25-31.99 kg/m2 and those with a BMI ≥ 23 kg/m2 and a self-reported weight gain of ≥ 2 kg in the past 12 months were recruited. A 12-week mHealth program “TXT2BFiT” was administered to the intervention arm. This included 5 coaching calls, 96 text messages, 12 emails, apps, and downloadable resources from the study website. Lifestyle behaviors addressed were intake of fruits, vegetables, sugar-sweetened beverages (SSBs), take-out meals, and physical activity. The control group received 1 phone call to introduce them to study procedures and 4 text messages over 12 weeks. After 12 weeks, the intervention arm received 2 further coaching calls, 6 text messages, and 6 emails with continued access to the study website during 6-month follow-up. Control arm received no further contact. The primary outcome was weight change (kg) with weight measured at baseline and at 12 weeks and self-report at baseline, 12 weeks, and 9 months. Secondary outcomes were change in physical activity (metabolic equivalent of task, MET-mins) and categories of intake for fruits, vegetables, SSBs, and take-out meals. These were assessed via Web-based surveys.

Results

Two hundred and fifty young adults enrolled in the RCT. Intervention participants weighed less at 12 weeks compared with controls (model β=−3.7, 95% CI −6.1 to −1.3) and after 9 months (model β=− 4.3, 95% CI − 6.9 to − 1.8). No differences in physical activity were found but all diet behaviors showed that the intervention group, compared with controls at 9 months, had greater odds of meeting recommendations for fruits (OR 3.83, 95% CI 2.10-6.99); for vegetables (OR 2.42, 95% CI 1.32-4.44); for SSB (OR 3.11, 95% CI 1.47-6.59); and for take-out meals (OR 1.88, 95% CI 1.07-3.30).

Conclusions

Delivery of an mHealth intervention for prevention of weight gain resulted in modest weight loss at 12 weeks with further loss at 9 months in 18- to 35-year-olds. Although there was no evidence of change in physical activity, improvements in dietary behaviors occurred, and were maintained at 9 months. Owing to its scalable potential for widespread adoption, replication trials should be conducted in diverse populations of overweight young adults.

Trial Registration

Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000924853; (Archived by WebCite at http://www.webcitation.org/6i6iRag55)

A Technology-Mediated Behavioral Weight Gain Prevention Intervention for College Students: Controlled, Quasi-Experimental Study

BACKGROUND

Both men and women are vulnerable to weight gain during the college years, and this phenomenon is linked to an increased risk of several chronic diseases and mortality. Technology represents an attractive medium for the delivery of weight control interventions focused on college students, given its reach and appeal among this population. However, few technology-mediated weight gain prevention interventions have been evaluated for college students.

OBJECTIVE

This study examined a new technology-based, social media-facilitated weight gain prevention intervention for college students.

METHODS

Undergraduates (n =58) in two sections of a public university course were allocated to either a behavioral weight gain prevention intervention (Healthy Weight, HW; N=29) or a human papillomavirus (HPV) vaccination awareness intervention (control; N=29). All students were enrolled, regardless of initial body weight or expressed interest in weight management. The interventions delivered 8 lessons via electronic newsletters and Facebook postings over 9 weeks, which were designed to foster social support and introduce relevant educational content. The HW intervention targeted behavioral strategies to prevent weight gain and provided participants with a Wi-Fi-enabled scale and an electronic physical activity tracker to facilitate weight regulation. A repeated-measures analysis of variance was conducted to examine within- and between-group differences in measures of self-reported weight control practices and objectively measured weight. Use of each intervention medium and device was objectively tracked, and intervention satisfaction measures were obtained.

RESULTS

Students remained weight stable (HW: -0.48+1.9 kg; control: -0.45+1.4 kg), with no significant difference between groups over 9 weeks (P =.94). However, HW students reported a significantly greater increase in the number of appropriate weight control strategies than did controls (2.1+4.5 vs -1.1+3.4, respectively; P =.003) and there was no increase in inappropriate weight control behaviors (P =.11). More than 90% of students in the HW arm opened the electronic newsletters each week, and the average number of Facebook interactions (comments and likes) per student each week was 3.3+1.4. Each self-monitoring device was initialized by 90% of HW students. On average, they used their physical activity tracker for 23.7+15.2 days and their Wi-Fi scale for 14.1+13.1 days over the 9 weeks. HW students rated the intervention favorably.

CONCLUSIONS

The short-term effect of this technology-based weight gain prevention intervention for college students is promising and merits evaluation over a longer duration to determine whether engagement and behavioral improvements positively affect weight outcomes and can be maintained.

Weight Gain Prevention among Midlife Women: A Randomized Controlled Trial to Address Needs Related to the Physical and Social Environment

Women tend to gain weight at midlife (40–60 years) increasing risk of obesity-related chronic diseases. Within specific eating occasions, needs related to the physical and social environment may result in less healthy eating behavior, which can lead to weight gain over time. The purpose of this study was to determine if a dietitian-delivered nutrition counseling intervention tailored to eating occasion needs could improve diet and prevent weight gain among midlife women over two years. A randomized controlled trial was conducted with healthy midlife women (n = 354) in one U.S. metropolitan area. The intervention group (n = 185) received ten hours of individual nutrition counseling from dietitians over six months, while women in a control group (n = 169) received no counseling. Measured height, weight and waist circumference, and dietary intakes were collected at baseline and every six months over two years. Mixed linear models were used to test for intervention effect on change in outcome variables over time. Dietary intakes of fruit, reduced/low-fat dairy foods and refined grains were significantly improved over time in the intervention compared to control group. However, the intervention had no effect on weight over time (p = 0.48). Nutrition counseling tailored to address eating occasion needs improved self-reported diet but did not significantly affect weight change.

Effectiveness of a mHealth Lifestyle Program With Telephone Support (TXT2BFiT) to Prevent Unhealthy Weight Gain in Young Adults: Randomized Controlled Trial

Background

Weight gained in young adulthood often persists throughout later life with associated chronic disease risk. Despite this, current population prevention strategies are not specifically designed for young adults.

Objective

We designed and assessed the efficacy of an mHealth prevention program, TXT2BFiT, in preventing excess weight gain and improving dietary and physical activity behaviors in young adults at increased risk of obesity and unhealthy lifestyle choices.

Methods

A two-arm, parallel-group randomized controlled trial was conducted. Subjects and analyzing researchers were blinded. A total of 250 18- to 35-year-olds with a high risk of weight gain, a body mass index (BMI) of 23.0 to 24.9 kg/m² with at least 2 kg of weight gain in the previous 12 months, or a BMI of 25.0 to 31.9 kg/m² were randomized to the intervention or control group. In the 12-week intervention period, the intervention group received 8 text messages weekly based on the transtheoretical model of behavior change, 1 email weekly, 5 personalized coaching calls, a diet booklet, and access to resources and mobile phone apps on a website. Control group participants received only 4 text messages and printed dietary and physical activity guidelines. Measured body weight and height were collected at baseline and at 12 weeks. Outcomes were assessed via online surveys at baseline and at 12 weeks, including self-reported weight and dietary and physical activity measures.

Results

A total of 214 participants—110 intervention and 104 control—completed the 12-week intervention period. A total of 10 participants out of 250 (4.0%)—10 intervention and 0 control—dropped out, and 26 participants (10.4%)—5 intervention and 21 control—did not complete postintervention online surveys. Adherence to coaching calls and delivery of text messages was over 90%. At 12 weeks, the intervention group were 2.2 kg (95% CI 0.8-3.6) lighter than controls (P=.005). Intervention participants consumed more vegetables (P=.009), fewer sugary soft drinks (P=.002), and fewer energy-dense takeout meals (P=.001) compared to controls. They also increased their total physical activity by 252.5 MET-minutes (95% CI 1.2-503.8, P=.05) and total physical activity by 1.3 days (95% CI 0.5-2.2, P=.003) compared to controls.

Conclusions

The TXT2BFiT low-intensity intervention was successful in preventing weight gain with modest weight loss and improvement in lifestyle behaviors among overweight young adults. The short-term success of the 12-week intervention period shows potential. Maintenance of the behavior change will be monitored at 9 months.

Trial Registration

Trial Registration: The Australian New Zealand Clinical Trials Registry ACTRN12612000924853; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12612000924853 (Archived by WebCite at http://www.webcitation.org/6Z6w9LlS9).

Effective Strategies to Recruit Young Adults Into the TXT2BFiT mHealth Randomized Controlled Trial for Weight Gain Prevention

Background

Younger adults are difficult to engage in preventive health, yet in Australia they are gaining more weight and increasing in waist circumference faster than middle-to-older adults. A further challenge to engaging 18- to 35-year-olds in interventions is the limited reporting of outcomes of recruitment strategies.

Objective

This paper describes the outcomes of strategies used to recruit young adults to a randomized controlled trial (RCT), healthy lifestyle mHealth program, TXT2BFiT, for prevention of weight gain. The progression from enquiry through eligibility check to randomization into the trial and the costs of recruitment strategies are reported. Factors associated with nonparticipation are explored.

Methods

Participants were recruited either via letters of invitation from general practitioners (GPs) or via electronic or print advertisements, including Facebook and Google—social media and advertising—university electronic newsletters, printed posters, mailbox drops, and newspapers. Participants recruited from GP invitation letters had an appointment booked with their GP for eligibility screening. Those recruited from other methods were sent an information pack to seek approval to participate from their own GP. The total number and source of enquiries were categorized according to eligibility and subsequent completion of steps to enrolment. Cost data and details of recruitment strategies were recorded.

Results

From 1181 enquiries in total from all strategies, 250 (21.17%) participants were randomized. A total of 5311 invitation letters were sent from 12 GP practices—16 participating GPs. A total of 131 patients enquired with 68 participants randomized (68/74 of those eligible, 92%). The other recruitment methods yielded the remaining 182 randomized participants. Enrolment from print media was 26% of enquiries, from electronic media was 20%, and from other methods was 3%. Across all strategies the average cost of recruitment was Australian Dollar (AUD) $139 per person. The least expensive modality was electronic (AUD $37), largely due to a free feature story on one university Web home page, despite Facebook advertising costing AUD $945 per enrolment. The most expensive was print media at AUD $213 and GP letters at AUD $145 per enrolment.

Conclusions

The research indicated that free electronic media was the most cost-effective strategy, with GP letters the least expensive of the paid strategies in comparison to the other strategies. This study is an important contribution for future research into efficacy, translation, and implementation of cost-effective programs for the prevention of weight gain in young adults. Procedural frameworks for recruitment protocols are required, along with systematic reporting of recruitment strategies to reduce unnecessary expenditure and allow for valuable public health prevention programs to go beyond the research setting.

Trial Registration

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000924853; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=362872 (Archived by WebCite at http://www.webcitation.org/6YpNfv1gI).

Frequent self-weighing as part of a constellation of healthy weight control practices in young adults

OBJECTIVE

Frequent self-weighing is linked with weight management success, but concern has been raised about its possible association with unhealthy practices. This study examined the association of self-weighing with other weight control behaviors in a sample for whom frequent weighing might be questioned--namely, normal-weight or overweight (BMI of 21-29.9) young adults (age 18-35).

METHODS

Participants (N = 583; mean [SD] age = 27.7 [4.4]; BMI = 25.4 [2.6]) entering the Study of Novel Approaches to Weight Gain Prevention (SNAP) completed objective measures of weight and physical activity and self-reported weight history, use of healthy and unhealthy weight control strategies, depressive symptoms, and dietary intake.

RESULTS

Daily self-weighing was reported by 11% of participants, and 23% weighed several times per week. Frequent weighing was not associated with current BMI, gender, or age but was associated with being further below one's highest weight, history of dieting, and perceived difficulty maintaining weight. Frequent weighing was associated with healthy weight management strategies, but not with unhealthy practices or depressive symptoms.

CONCLUSIONS

In this sample, frequent self-weighing appears to be part of a constellation of healthy weight control behaviors used to counteract a perceived tendency toward weight gain. SNAP follow-up will determine whether frequent self-weighing helps prevent weight gain.

Determinants of weight gain prevention in young adult and midlife women: study design and protocol of a randomized controlled trial

BACKGROUND

Treatment of overweight and obesity through body weight reduction has been monumentally ineffective as few individuals are able to sustain weight loss. Rather than treating weight gain once it has become problematic, prevention of weight gain over time may be more effective.

OBJECTIVE

The aim of this research is to preclude the burden of adult obesity in women by identifying the determinants of weight gain prevention. The objective of this randomized controlled trial (RCT) is to compare a weight gain prevention intervention delivered by the registered dietitian versus counselor.

METHODS

This is a 12-month parallel-arm weight gain prevention RCT designed to increase self-efficacy, self-regulation, outcome expectations and family and social support through the use of a nutrition education intervention in women, aged 18-45 years, from the Urbana-Champaign (Illinois, USA) area. Women have been randomized to registered dietitian, counselor or wait-list control groups (August 2014) and are undergoing weekly nutrition education sessions for four months, followed by monthly sessions for eight months (through August 2015). Outcome measures, including: (1) dietary intake, (2) physical activity, (3) anthropometric and blood pressure measurements, (4) biochemical markers of health, (5) eating behaviors and health perceptions, and (6) mediators of behavior change, were collected before the intervention began (baseline) and will be collected at 3, 6, 9, and 12 months of the study.

RESULTS

In total, 87 women have been randomized to intervention groups, and 81 women have completed first week of the study. Results are expected in early 2016.

CONCLUSIONS

This RCT is one of the first to examine weight gain prevention in women across normal, overweight, and obese body mass index categories. Results of this research are expected to have application to evidence-based practice in weight gain prevention for women and possibly have implication for policy regarding decreasing the encumbrance of overweight and obesity in the United States.

Guide to Health: A Randomized Controlled Trial of the Effects of a Completely WEB-Based Intervention on Physical Activity, Fruit and Vegetable Consumption, and Body Weight

BACKGROUND

Theory-based, efficacious, long-term, completely Internet-based interventions are needed to induce favorable shifts in health behaviors and prevent weight gain.

PURPOSE

To assess nutrition, physical activity, and, secondarily, body weight outcomes in the tailored, social cognitive theory Guide to Health (WB-GTH) program with all recruitment, assessment, and intervention performed on the Internet.

METHODS

The focus of the efficacy study was engaged participants who completed 3 or more program modules plus baseline, 6-months post and, 16-months follow-up assessments (n = 247). To be eligible, participants needed to be between 18-63 years of age, with a BMI between 23-39, sedentary to low-active but otherwise healthy. Participant had a mean age of 45.5 years (10.3), 86.2% were female, with 8.5% from minority groups, with a mean 17.5 (3.0) years of education, and had a median annual household income of about $85k. Nevertheless, about 83% were overweight or obese and about 75% were sedentary (i.e., <5000 steps/day) or had low levels of activity (i.e., 5,000 - 7499 steps/day). Participants were randomized to the WB-GTH-Basic intervention or WB-GTH-Enhanced intervention. Content, overall target behaviors, program goals and strategies were the same in the two interventions with the difference that Basic included a generic feedback and planning approach and Enhanced included a highly tailored planning and feedback approach. Participants reported at assessments pedometer step counts to assess physical activity, bodyweight from a scale provided, and fruit and vegetable (F&V) servings were assessed from food frequency questionnaires completed online.

RESULTS

Participants in both Basic and Enhanced at follow-up increased physical activity by about 1400 steps/day, lost about 3% of bodyweight, and increased F&V by about 1.5 serving/day. There was evidence that the least physically active, those who were obese, and those with poorest nutrition made greater long-term improvements.

CONCLUSIONS

Given similar outcomes for Basic and Enhanced, a relatively simple entirely Internet-based program can help people improve health behaviors and prevent weight gain.

Weight gain prevention: identifying theory-based targets for health behavior change in young adults

Young adults attending college are more vulnerable to weight gain than the general population. We sought to identify health behavior change targets related to weight management in college students. Based on the Social Cognitive Theory model for health behavior change, we investigated the health-related lifestyle behaviors and physiological characteristics of this population. Forty-three college students (18.3+/-0.1 years) completed a series of quantitative assessments (eg, body weight and composition, cardiorespiratory fitness, and diet and activity habits) and structured qualitative assessments (ie, structured interview or focus group). Participants were predominantly normal weight (mean body mass index 22.2+/-0.4) and fit (maximal oxygen consumption 50.5+/-1.5 mL/kg/minute). However, healthful eating and physical activity were not considered high priorities, despite having ample free time, high exercise self-efficacy, positive outcome expectations for exercise, and a desire to exercise more. Participants reported that regularly engaging in exercise was difficult. This may have been due to poor planning/time management, satisfaction with body image, lack of accountability, and feelings of laziness. Dietary patterns generally met recommendations but were low in fruits, vegetables, and whole grains. Social support for exercise and healthful dietary habits were important factors associated with health behaviors. Students reported a decline in exercise and dietary habits relative to high school, which may have contributed to college weight gain. Our results suggest that this population may not have adequate self-regulatory skills, such as planning and self-monitoring, to maintain healthful behaviors in the college environment. Food and nutrition professionals working with young adults attending college may use these findings to guide the behavioral therapy component of their weight management medical nutrition therapy goals and outcomes.

Weight gain prevention among women

OBJECTIVE

Women 25 to 45 years old are at risk for weight gain and future obesity. This trial was designed to evaluate the efficacy of two interventions relative to a control group in preventing weight gain among normal or overweight women and to identify demographic, behavioral, and psychosocial factors related to weight gain prevention.

RESEARCH METHODS AND PROCEDURES

Healthy women (N = 284), ages 25 to 44, with BMI < 30 were randomized to one of three intervention conditions: a clinic-based group, a correspondence course, or an information-only control. Intervention was provided over 2 years, with a follow-up at Year 3. BMI and factors related to eating and weight were assessed yearly.

RESULTS

Over the 3-year study period, 40% (n = 114) of the women remained at or below baseline body weight (+/-2 lbs), and 60% gained weight (>2 lbs). Intervention had no effect on weight over time. Independently of intervention, women who were older, not actively dieting to lose weight, and who reported less perceived hunger at baseline were more likely to be successful at weight maintenance. Weight maintenance also was associated with increasing dietary restraint (conscious thoughts and purposeful behaviors to control calorie intake) and decreasing dietary disinhibition (the tendency to lose control over eating) over time.

DISCUSSION

This study raises concern about the feasibility and efficacy of weight gain prevention interventions because most women were interested in weight loss, rather than weight gain prevention, and the interventions had no effect on weight stability. Novel approaches to the prevention of weight gain are needed.