The impact of regular self-weighing on weight management: a systematic literature review

Furthering Scientific Inquiry for Weight Loss Maintenance: Assessing the Psychological Processes Impacted by a Low intensity Technology-Assisted Intervention (NULevel Trial)

BACKGROUND

NULevel was a randomized control trial to evaluate a technology-assisted weight loss maintenance (WLM) program in the UK. The program included: (a) a face-to-face goal-setting session; (b) an internet platform, a pedometer, and wirelessly connected scales to monitor and report diet, physical activity, and weight, and; (c) regular automated feedback delivered by mobile phone, tailored to participants' progress. Components were designed to target psychological processes linked to weight-related behavior. Though intervention participants showed increased physical activity, there was no difference in WLM between the intervention and control groups after 12 months (Sniehotta FF, Evans EH, Sainsbury K, et al. Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomized controlled trial in the UK (NULevel Trial). PLoS Med. 2019; 16(5):e1002793. doi:10.1371/journal.pmed.1002793). It is unclear whether the program failed to alter targeted psychological processes, or whether changes in these processes failed to influence WLM.

PURPOSE

We evaluate whether the program influenced 16 prespecified psychological processes (e.g., self-efficacy and automaticity toward diet and physical activity), and whether these processes (at 6 months) were associated with successful WLM (at 12 months).

METHODS

288 adults who had previously lost weight were randomized to the intervention or control groups. The control group received wireless scales and standard advice via newsletters. Assessments occurred in person at 0, 6, and 12 months.

RESULTS

The intervention significantly altered 10 of the 16 psychological processes, compared with the control group. However, few processes were associated with WLM, leading to no significant indirect effects of the intervention via the processes on WLM.

CONCLUSIONS

Changes in targeted processes were insufficient to support WLM. Future efforts may more closely examine the sequence of effects between processes, behavior, and WLM.

Evaluating Preconception Health and Behaviour Change in Australian Women Planning a Pregnancy: The OptimalMe Program, a Digital Healthy Lifestyle Intervention with Remotely Delivered Coaching

OptimalMe is a digital healthy lifestyle intervention for women planning a pregnancy, with remotely delivered coaching. This follow-up study of Australian women, stratified by coaching delivery mode (phone vs. videoconferencing), assessed alignment to preconception care guidelines and self-reported behaviour change. Overall, 298 women enrolled with a mean (SD) age of 31.8 (4.3) years and mean BMI of 25.7 (6.1) kg/m2. Suboptimal preconception behaviours were reported at baseline, including alcohol consumption (57.2%), infrequent weighing (37.2%) and incomplete cervical cancer screening (15.8%) and prenatal supplementation (38.5). At follow-up (4.5 months) (n = 217), a statistically significant shift towards desired behaviours was reported for alcohol consumption (z = -2.6045, p = 0.00932), preconception supplementation (z = -2.7288, p = 0.00634) and frequent weight monitoring (z = -5.2911, p < 0.00001). An insignificant shift towards adherence to cervical cancer screening (z = -1.8679, p = 0.06148) was observed, with a positive trend towards adherence. Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy and general health and lifestyle improvement. Women demonstrated improvement in lifestyle behaviours and self-monitoring, indicating the uptake of low-intensity, non-prescriptive information provision. Supporting the provision of knowledge-enhancing tools and general healthy lifestyle information combines with skilled health coaching as an effective method for behaviour change and self-management. OptimalMe also shows significant improvements in rates of healthcare engagement, which suggests coaching-based digital health interventions may decrease women's barriers for preconception care and improve engagement in clinical settings.

Intrinsic motivation for physical activity, healthy eating, and self-weighing in association with corresponding behaviors in early pregnancy

Healthy lifestyle behaviors influence maternal cardiovascular health, but motivation for them in pregnancy is poorly understood. We examined whether intrinsic motivation (assessed on 5-point scales for each behavior) is associated with three lifestyle behaviors in early pregnancy: physical activity, by intensity level; healthy eating, quantified with the Alternate Healthy Eating Index for Pregnancy (AHEI-P); and weight self-monitoring, a standard weight management technique. Participants in the Northern California Pregnancy, Lifestyle and Environment Study (PETALS) population-based cohort completed validated surveys in early pregnancy (2017-18; N = 472; 22 % Asian, 6 % Black, 30 % Hispanic, 13 % multiracial, 30 % White). Cross-sectional data were analyzed in 2021-22. Overall, 40.7 % (n = 192) met United States national physical activity guidelines; the average AHEI-P score was 62.3 out of 130 (SD 11.4); and 36.9 % reported regular self-weighing (≥once/week; n = 174). In models adjusted for participant characteristics, 1-unit increases in intrinsic motivation were associated with increased likelihood of meeting physical activity guidelines (risk ratio [95 % CI]: 1.66 [1.48, 1.86], p < 0.0001); meeting sample-specific 75th percentiles for vigorous physical activity (1.70 [1.44, 1.99], p < 0.0001) and AHEI-P (1.75 [1.33, 2.31], p < 0.0001); and regular self-weighing (2.13 [1.92, 2.37], p < 0.0001). A 1-unit increase in intrinsic motivation lowered the risk of meeting the 75th percentile for sedentary behavior (0.79 [0.67, 0.92], p < 0.003). Intrinsic motivation was not associated with reaching 75th percentiles for total, light, or moderate activity. Intrinsic motivation is associated with physical activity, healthy eating, and self-weighing among diverse individuals in early pregnancy. Results can inform intervention design to promote maternal health via increased enjoyment of lifestyle behaviors.

Daily self-weighing compared with an active control causes greater negative affective lability in emerging adult women: A randomized trial

Age-related weight gain prevention may reduce population overweight/obesity. Emerging adulthood is a crucial time to act, as rate of gain accelerates and health habits develop. Evidence supports self-weighing (SW) for preventing weight gain; however, how SW impacts psychological states and behaviors in vulnerable groups is unclear. This study assessed daily SW effects on affective lability, stress, weight-related stress, body satisfaction, and weight-control behaviors. Sixty-nine university females (aged 18-22) were randomized to daily SW or temperature-taking (TT) control. Over 2 weeks, participants completed five daily ecological momentary assessments with their intervention behavior. A graph of their data with a trendline was emailed daily, with no other intervention components. Multilevel mixed models with random effect for day assessed variability in positive/negative affect. Generalized linear mixed models assessed outcomes pre- and post-SW or TT and generalized estimating equations assessed weight-control behaviors. Negative affective lability was significantly greater for SW versus TT. While general stress did not differ between groups, weight-related stress was significantly higher and body satisfaction was significantly lower post-behavior for SW but not TT. Groups did not significantly differ in the number or probability of weight-control behaviors. Caution is advised when recommending self-weighing to prevent weight gain for emerging adults.

Weekly, Seasonal, and Festive Period Weight Gain Among Australian Adults

Importance

Obesity is a major global health concern. A better understanding of temporal patterns of weight gain will enable the design and implementation of interventions with potential to alter obesity trajectories.

Objective

To describe changes in daily weight across 12 months among Australian adults.

Design, Setting, and Participants

This cohort study conducted between December 1, 2019, and December 31, 2021 in Adelaide, South Australia, involved 375 community-dwelling adults aged 18 to 65 years. Participants wore a fitness tracker and were encouraged to weigh themselves, preferably daily but at least weekly, using a body weight scale. Data were remotely gathered using custom-developed software.

Exposure

Time assessed weekly, seasonally, and at Christmas/New Year and Easter.

Main Outcomes and Measures

Data were visually inspected to assess the overall yearly pattern in weight change. Data were detrended (to remove systematic bias from intraindividual gradual increases or decreases in weight) by calculating a line of best fit for each individual's annual weight change relative to baseline and subtracting this from each participant's weight data. Multilevel mixed-effects linear regression analysis was used to compare weight across days of the week and seasons and at Christmas/New Year and Easter.

Results

Of 375 participants recruited, 368 (mean [SD] age, 40.2 [5.9] years; 209 [56.8%] female; mean [SD] baseline weight, 84.0 [20.5] kg) provided at least 7 days of weight data for inclusion in analyses. Across the 12-month period, participants gained a median of 0.26% body weight (218 g) (range, -29.4% to 24.0%). Weight fluctuated by approximately 0.3% (252 g) each week, with Mondays and Tuesdays being the heaviest days of the week. Relative to Monday, participants' weight gradually decreased from Tuesday, although not significantly so (mean [SE] weight change, 0.01% [0.03%]; P = .83), to Friday (mean [SE] weight change, -0.18% [0.03%]; P < .001) and increased across the weekend to Monday (mean [SE] weight change for Saturday, -0.16% [0.03%]; P < .001; mean [SE] weight change for Sunday, -0.10% [0.03%]; P < .001). Participants' weight increased sharply at Christmas/New Year (mean [SE] increase, 0.65% [0.03%]; z score, 25.30; P < .001) and Easter (mean [SE] weight change, 0.29% [0.02%], z score, 11.51; P < .001). Overall, participants were heaviest in summer (significantly heavier than in all other seasons), were lightest in autumn (mean [SE] weight change relative to summer, -0.47% [0.07%]; P < .001), regained some weight in winter (mean [SE] weight change relative to summer, -0.23% [0.07%]; P = .001), and became lighter in spring (mean [SE] weight change relative to summer, -0.27% [0.07%]; P < .001).

Conclusions and Relevance

In this cohort study of Australian adults with weekly and yearly patterns in weight gain observed across 12 months, high-risk times for weight gain were Christmas/New Year, weekends, and winter, suggesting that temporally targeted weight gain prevention interventions may be warranted.

Lifetime history of an anxiety or depression disorder and adherence to medications used for the acute treatment of migraine

OBJECTIVE

In this secondary analysis of mobile health headache diary data, we evaluated the relationship between adherence to medication used for the acute treatment of migraine and lifetime history of an anxiety or depression disorder.

BACKGROUND

Medication non-adherence can produce poor clinical efficacy and may be associated with medication overuse. Medication overuse was defined by taking a migraine-specific medication (MSM) for ≥10 days/month, an opioid or barbiturate for ≥10 days/month, or a nonsteroidal anti-inflammatory drug for ≥15 days/month and having ≥15 headache days/month. Extant literature predominantly evaluates fixed-schedule medication adherence. Little is known about predictors of adherence to as-needed medication such as those used for the acute treatment of migraine.

METHODS

Adults with prior migraine diagnosis and at least 4 headache days/month completed baseline questionnaires assessing lifetime history of depression or anxiety disorder diagnoses and were asked to record 90 days of once-daily electronic headache diaries soliciting: Headache occurrence; symptoms; medication taken, if any, for the acute treatment of migraine; and their pain level (mild, moderate, severe) when the medication was taken. The 193 participants who completed ≥30 days of headache diary were included in this secondary analysis.

RESULTS

A MSM was used as the first medication taken on 45.7% (2825/6176) of headache days. Nearly a quarter of the sample (45/193, 23.3%) overused medications for acute treatment of migraine. Medication overuse was more common in patients with a history of an anxiety disorder, odds ratio (OR) 2.01 (95% confidence interval [CI] 1.01-3.69), but this relationship was not significant when headache days were accounted for, OR 2.02 (95% CI 0.83-4.91). Neither a history of a depression disorder, OR 1.40 (95% CI 0.90-2.16), nor an anxiety disorder, OR 1.11 (95% CI 0.71-1.72), was associated with taking medications early; however, duration of self-monitoring was associated with taking MSM early, OR 1.006 (95% CI 1.004-1.009).

CONCLUSION

Lifetime history of depression and anxiety were not associated with taking a MSM early. Medication overuse may be more common in patients who have both migraine and anxiety. Taking a MSM early improved over time for all participants, even when adjusting for a history of an anxiety and or a depression disorder.

Attitudes to Three Weight Maintenance Strategies: A Qualitative Study

Weight loss maintenance can be difficult and ultimately unsuccessful, due to psychological, behavioural, social, and physiological influences. The present study investigated three strategies with the potential to improve weight maintenance success: daily weighing, missing an occasional meal, habitually changing high energy foods. The principal aim was to gain an understanding of attitudes to these strategies in participants who had recent experience of weight loss attempts, with or without maintenance. This was a qualitative study involving semi-structured interviews, with 20 participants aged 18–67 (twelve females), analysed using thematic analysis. Most participants disliked daily weighing and missing an occasional meal for long-term maintenance and were concerned about potential negative effects on mental health. All participants had experience of habitual changes to high energy foods and regarded this strategy as obvious and straightforward. Replacement of high energy foods was favoured over elimination. Participants preferred strategies that felt flexible, “normal” and intuitive and disliked those that were thought to have a negative impact on mental health. Further investigation is needed on whether concerns regarding mental health are well founded and, if not, how the strategies can be made more acceptable and useful.

Limiting Postpartum Weight Retention in Culturally and Linguistically Diverse Women: Secondary Analysis of the HeLP-her Randomized Controlled Trial

Postpartum weight retention (PPWR) contributes to maternal obesity development and is more pronounced in culturally and linguistically diverse (CALD) women. Our antenatal healthy lifestyle intervention (HeLP-her) demonstrated efficacy in reducing PPWR in non-Australian-born CALD women compared with Australian-born women. In this secondary analysis, we aimed to examine differences in the intervention effect on behavioral and psychosocial outcomes between Australian-born and non-Australian-born women and explore factors associated with the differential intervention effect on PPWR. Pregnant women at risk of gestational diabetes (Australian-born n = 86, non-Australian-born n = 142) were randomized to intervention (four lifestyle sessions) or control (standard antenatal care). PPWR was defined as the difference in measured weight between 6 weeks postpartum and baseline (12–15 weeks gestation). Behavioral (self-weighing, physical activity (pedometer), diet (fat-related dietary habits questionnaire), self-perceived behavior changes), and psychosocial (weight control confidence, exercise self-efficacy, eating self-efficacy) outcomes were examined by country of birth. Multivariable linear regression analysis was conducted to assess factors associated with PPWR. The intervention significantly increased self-weighing, eating self-efficacy, and self-perceived changes to diet and physical activity at 6 weeks postpartum in non-Australian-born women, compared with no significant changes observed among Australian-born women. Intervention allocation and decreased intake of snack foods were predictors of lower PPWR in non-Australian-born women. Results indicate that the HeLP-her intervention improved dietary behaviors, contributing to the reduction of PPWR in CALD women. Future translations could prioritize targeting diet while developing more effective strategies to increase exercise engagement during pregnancy in this population.

A Pragmatic Intervention Using Financial Incentives for Pregnancy Weight Management: Feasibility Randomized Controlled Trial

BACKGROUND

Excessive gestational weight gain (GWG) is common and can result in maternal and child health complications. Pragmatic behavioral interventions that can be incorporated into standard obstetric care are needed, and financial incentives are a promising approach.

OBJECTIVE

The aim of this study is to evaluate the feasibility of recruitment, randomization, and retention, as well as treatment engagement and intervention satisfaction, in a behavioral program. The program provided small incentives for meeting behavioral goals of self-weighing and physical activity as well as larger outcome incentives for meeting GWG goals.

METHODS

We recruited 40 adult women in their first trimester of pregnancy from February 2019 to September 2019 at an obstetric clinic. Participants were randomized to 3 intervention components using a 2×2×2 factorial design: daily incentives for self-weighing (lottery vs certain loss), incentives for adhering to the Institute of Medicine's GWG guidelines based on BMI category (monthly vs overall), and incentives for reaching physical activity goals (yes vs no). Participants were asked to complete daily weigh-ins using the Withings Body wireless scale provided by the study, as well as wear a physical activity tracker (Fitbit Flex 2). Feasibility outcomes of recruitment, randomization, and retention, as well as treatment engagement and intervention satisfaction, were assessed. Weight assessments were conducted at baseline, 32-week gestation, and 36-week gestation.

RESULTS

Participants were enrolled at, on average, 9.6 (SD 1.8) weeks' gestation. Of the 39 participants who were oriented to their condition and received the intervention, 24 (62%) were Black or African American, 30 (77%) were not married, and 29 (74%) had an annual household income of less than US $50,000. Of the 39 participants, 35 (90%) completed the follow-up data collection visit. Participants were generally quite positive about the intervention components, with a particular emphasis on the helpfulness of, and the enjoyment of using, the e-scale in both the quantitative and qualitative feedback. Participants who received the loss incentive, on average, had 2.86 times as many days of self-weighing as those who received the lottery incentive. Participants had a relatively low level of activity, with no difference between those who received a physical activity incentive and those who did not.

CONCLUSIONS

A financial incentive-based pragmatic intervention was feasible and acceptable for pregnant women for promoting self-weighing, physical activity, and healthy GWG. Participants were successfully recruited early in their first trimester of pregnancy and retained for follow-up data collection in the third trimester. Participants demonstrated promising engagement in self-weighing, particularly with loss-based incentives, and reported finding the self-weighing especially helpful. This study supports further investigation of pragmatic, clinic-based financial incentive-based interventions for healthy GWG behaviors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03834194; https://clinicaltrials.gov/ct2/show/NCT03834194.

Facilitators and barriers to behaviour change within a lifestyle program for women with obesity to prevent excess gestational weight gain: a mixed methods evaluation

Background

Maternal obesity is associated with health risks for women and their babies and is exacerbated by excess gestational weight gain. The aim of this study was to describe women’s experiences and perspectives in attending a Healthy Pregnancy Service designed to optimise healthy lifestyle and support recommended gestational weight gain for women with obesity.

Methods

An explanatory sequential mixed methods study design utilised two questionnaires (completed in early and late pregnancy) to quantify feelings, motivation and satisfaction with the service, followed by semi-structured interviews that explored barriers and enablers of behaviour change. Data were analysed separately and then interpreted together.

Results

Overall, 49 women attending the service completed either questionnaire 1, 2 or both and were included in the analysis. Fourteen women were interviewed. Prior to pregnancy, many women had gained weight and attempted to lose weight independently, and reported they were highly motivated to achieve a healthy lifestyle. During pregnancy, diet changes were reported as easier to make and sustain than exercise changes. Satisfaction with the service was high. Key factors identified in qualitative analysis were: service support enabled change; motivation to change behaviour, social support, barriers to making change (intrinsic, extrinsic and clinic-related), post-partum lifestyle and needs. On integration of data, qualitative and quantitative findings aligned.

Conclusions

The Healthy Pregnancy service was valued by women. Barriers and enablers to the delivery of an integrated model of maternity care that supported healthy lifestyle and recommended gestational weight gain were identified. These findings have informed and improved implementation and further scale up of this successful service model, integrating healthy lifestyle into routine antenatal care of women with obesity.

Trial registration

This trial is registered with the Australian New Zealand Clinical Trials Registry (no.12620000985987). Registration date 30/09/2020, retrospectively registered. http://www.anzctr.org.au/

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-04034-7.

Practice nurse-supported weight self-management delivered within the national child immunisation programme for postnatal women: a feasibility cluster RCT

BACKGROUND

Pregnancy is a high-risk time for excessive weight gain. The rising prevalence of obesity in women, combined with excess weight gain during pregnancy, means that there are more women with obesity in the postnatal period. This can have adverse health consequences for women in later life and increases the health risks during subsequent pregnancies.

OBJECTIVE

The primary aim was to produce evidence of whether or not a Phase III trial of a brief weight management intervention, in which postnatal women are encouraged by practice nurses as part of the national child immunisation programme to self-monitor their weight and use an online weight management programme, is feasible and acceptable.

DESIGN

The research involved a cluster randomised controlled feasibility trial and two semistructured interview studies with intervention participants and practice nurses who delivered the intervention. Trial data were collected at baseline and 3 months later. The interview studies took place after trial follow-up.

SETTING

The trial took place in Birmingham, UK.

PARTICIPANTS

Twenty-eight postnatal women who were overweight/obese were recruited via Birmingham Women's Hospital or general practices. Nine intervention participants and seven nurses were interviewed.

INTERVENTIONS

The intervention was delivered in the context of the national child immunisation programme. The intervention group were offered brief support that encouraged self-management of weight when they attended their practice to have their child immunised at 2, 3 and 4 months of age. The intervention involved the provision of motivation and support by nurses to encourage participants to make healthier lifestyle choices through self-monitoring of weight and signposting to an online weight management programme. The role of the nurse was to provide regular external accountability for weight loss. Women were asked to weigh themselves weekly and record this on a record card in their child's health record ('red book') or using the online programme. The behavioural goal was for women to lose 0.5-1 kg per week. The usual-care group received a healthy lifestyle leaflet.

MAIN OUTCOME MEASURES

The primary outcome was the feasibility of a Phase III trial to test the effectiveness of the intervention, as assessed against three traffic-light stop-go criteria (recruitment, adherence to regular self-weighing and registration with an online weight management programme).

RESULTS

The traffic-light criteria results were red for recruitment (28/80, 35% of target), amber for registration with the online weight loss programme (9/16, 56%) and green for adherence to weekly self-weighing (10/16, 63%). Nurses delivered the intervention with high fidelity. In the qualitative studies, participants indicated that the intervention was acceptable to them and they welcomed receiving support to lose weight at their child immunisation appointments. Although nurses raised some caveats to implementation, they felt that the intervention was easy to deliver and that it would motivate postnatal women to lose weight.

LIMITATIONS

Fewer participants were recruited than planned.

CONCLUSIONS

Although women and practice nurses responded well to the intervention and adherence to self-weighing was high, recruitment was challenging and there is scope to improve engagement with the intervention.

FUTURE WORK

Future research should focus on investigating other methods of recruitment and, thereafter, testing the effectiveness of the intervention.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN12209332.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 49. See the NIHR Journals Library website for further project information.

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

The experiences of postnatal women and healthcare professionals of a brief weight management intervention embedded within the national child immunisation programme

BACKGROUND

After childbirth, most women do not lose the extra weight gained during pregnancy. This is important because postnatal weight retention contributes to the development of obesity in later life. Research shows that postnatal women living with overweight would prefer to weigh less, are interested in implementing weight loss strategies, and would like support. Without evidence for the benefit of weight management interventions during pregnancy, postnatal interventions are increasingly important. Research has focused on intensive weight loss programmes, which cannot be offered to all postnatal women. Instead, we investigated the feasibility of a brief intervention delivered to postnatal women at child immunisation appointments. This qualitative study explored the views of women who received the intervention and healthcare professionals who delivered it.

METHODS

The intervention was delivered within the context of the national child immunisation programme. The intervention group were offered brief support encouraging self-management of weight when attending general practices to have their child immunised at two, three and four months of age. The intervention involved motivation and support from practice nurses to encourage women to make healthier lifestyle choices through self-monitoring of weight and signposting to an online weight management programme. Nurses provided external accountability for weight loss. Women were asked to weigh themselves weekly and record this on a weight record card. Nested within this trial, semi-structured interviews explored the experiences of postnatal women who received the intervention and nurses who delivered it.

RESULTS

The intervention was generally acceptable to participants and child immunisation appointments considered a suitable intervention setting. Nurses were hesitant to discuss maternal weight, viewing the postnatal period as a vulnerable time. Whilst some caveats to implementation were discussed by nurses, they felt the intervention was easy to deliver and would motivate postnatal women to lose weight.

CONCLUSIONS

Participants were keen to lose weight after childbirth. Overall, they reported that the intervention was acceptable, convenient, and, appreciated support to lose weight after childbirth. Although nurses, expressed concerns about raising the topic of weight in the early postnatal period, they felt the intervention was easy to deliver and would help to motivate women to lose weight.

Mental Health, Behavior Change Skills, and Eating Behaviors in Postpartum Women

Excessive postpartum weight retention conveys risks for future metabolic diseases. Eating behaviors influence postpartum weight retention; however, the modifiable predictors of eating behaviors remain unclear. Using data from a three-arm, randomized controlled trial, the purpose of this study was to examine the longitudinal associations of mental health (e.g., depressive symptoms) and behavior change skills (e.g., self-efficacy) with eating behaviors (i.e., compensatory restraint, routine restraint, emotional eating, and external eating) among women (N = 424) over 18-months postpartum. Results revealed that depressive symptoms, perceived stress, healthy eating self-efficacy, overeating self-efficacy, self-weighing, and problem-solving confidence were associated with one or more of the examined eating behaviors. Furthermore, depressive symptoms moderated the association between healthy eating self-efficacy and routine restraint. Perceived stress moderated the associations between healthy eating/overeating self-efficacy and emotional eating. The findings suggest that mental health and behavior change skills may serve as targets for interventions designed to improve postpartum women's eating behaviors.Clinical trials registry:ClinicalTrials.gov #NCT01331564.

Predictors of successful weight loss outcomes amongst individuals with obesity undergoing lifestyle interventions: A systematic review

Understanding the predictors of weight loss with lifestyle interventions can help to ascertain the probable outcomes of individuals with obesity who undergo such interventions. This systematic review assessed the evidence of predictors of successful weight loss among individuals who are overweight or with obesity undergoing lifestyle interventions. Four electronic databases (PubMed, Cochrane Reviews, PsychInfo and Wiley) were searched to find relevant literature published in the past 20 years. A total of 1351 titles were identified in the initial search, of which 23 studies were finally included. Predictors were synthesized in the domains of socio-demographic factors, anthropometric parameters, psychological and behavioural factors and intervention-based factors. The overall quality of evidence on predictors was then appraised using an adapted GRADE approach. Patient-specific factors such as being male, older in age, having existing cardiometabolic comorbidities and limited fat intake were significantly associated with weight loss success. Amongst intervention specific predictors, greater initial weight loss and higher adherence to lifestyle advice were associated with greater weight loss success. In this review, initial weight loss came out to be as the most important predictor of successful weight loss outcome.

Exploring women's thoughts on self-weighing during pregnancy: results of the Self-Weighing in Pregnancy: Experiences (SWIPE) study

Background

Excess gestational weight gain is common and an important risk factor for adverse pregnancy outcomes. Regular weighing can be used to assess and manage weight gain, but NICE guidelines do not recommend routine weighing during antenatal care. Trials that have tested the effectiveness of self-weighing to manage GWG have been unsuccesful in engaging women in regular self-weighing, although the reasons for lack of engagement are not fully understood. This study aimed to understand why this lack of engagement occurred by exploring the naturally occurring thoughts and feelings of pregnant women (9 to 15 weeks gestational age) who were asked to weigh themselves at home.

Methods

Twenty-five women were recruited to take part. Participants completed short questionnaires at their first-trimester and 20-week scans. After recruitment, participants were asked to weigh themselves at roughly the same time each week for 8 weeks. Whilst they weighed themselves they were asked to audio-record their current weight and describe any thoughts or feelings that occurred as they weighed themselves. These audio recordings were then sent to researchers using a secure messaging service.

Results

Most of the recruited women (56%) were unaware of guidelines for gestational weight gain, and only 40% could identify the ideal rate of GWG for their BMI group. Thematic analysis of the think-aloud recordings resulted in three main themes: “understanding weight gain in pregnancy”, “taking action to prevent weight gain” and “reactions to self-weighing”. Overall, there was a relatively positive response to self-weighing and some participants used self-weighing to reflect on the reasons for weight gain and plan actions they could take to avoid excess gain. Negative emotional responses tended to be related to a lack of guidance about what level of weight gain or loss was “healthy”, or to other worries about the pregnancy. Of the women recruited who submitted at least one think aloud recording (n 10), 80% found self-weighing to be useful, and said they would likely continue to self-weigh at home.

Conclusions

Women had complex emotions about self-weighing during pregnancy but overall found it useful, suggesting it could be encouraged as part of self-regulatory interventions to control GWG. Clear guidelines about appropriate gestational weight gain could help to reduce anxiety.

Trial registration

The study was prospectively registered with ISRCTN ISRCTN10035244.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-03636-5.

Counselor Surveillance of Digital Self-Monitoring Data: A Pilot Randomized Controlled Trial

OBJECTIVE

This pilot study tested counselor access to participants' digital self-monitoring (SM) data as a means of improving long-term lifestyle modification (LM) outcomes.

METHODS

After 12 weeks of weight-loss treatment, participants (N = 77) were randomized to LM or LM+SHARE for weeks 13 to 52. All participants received monthly phone calls and weekly text messages from weeks 13 to 52 and were instructed to engage in daily digital SM of weight, eating, and exercise. In LM+SHARE, but not LM, counselors had access to SM device data. Assessments were conducted as weeks 0, 13, 26, and 52.

RESULTS

Retention, engagement, and treatment satisfaction were excellent. LM+SHARE participants, compared with LM, had more frequent SM of weight and eating. Weight loss continued at a similar rate in both conditions from weeks 13 to 26. From weeks 26 to 52, those in LM regained approximately 2 kg, whereas those in LM+SHARE maintained weight loss, a significant difference. Nonetheless, total weight loss did not significantly differ by condition. Engagement in dietary SM mediated the effect of condition on weight.

CONCLUSIONS

Counselor access to SM data is feasible and acceptable. Additional research is warranted to determine whether it can meaningfully improve outcomes.

Cognitive and behavioural strategies employed to overcome "lapses" and prevent "relapse" among weight-loss maintainers and regainers: A qualitative study

While many behavioural weight management programmes are effective in the short-term, post-programme weight regain is common. Overcoming "lapses" and preventing "relapse" has been highlighted as important in weight-loss maintenance, but little is known on how this is achieved. This study aimed to compare the cognitive and behavioural strategies employed to overcome "lapses" and prevent "relapse" by people who had regained weight or maintained weight-loss after participating in a weight management programme. By investigating differences between groups, we intended to identify strategies associated with better weight-loss maintenance. Semi-structured interviews were conducted with 26 participants (58% female) recruited from the 5-year follow-up of the Weight Loss Referrals for Adults in Primary Care (WRAP) trial (evaluation of a commercial weight-loss programme). Participants who had lost ≥5% baseline weight during the active intervention were purposively sampled according to 5-year weight trajectories (n = 16 'Regainers', n = 10 'Maintainers'). Interviews were audio-recorded, transcribed verbatim, and analysed thematically. Key differences in strategies were that Maintainers continued to pay attention to their dietary intake, anticipated and planned for potential lapses in high-risk situations, and managed impulses using distraction techniques. Regainers did not report making plans, used relaxed dietary monitoring, found distraction techniques to be ineffective and appeared to have difficulty navigating food within interpersonal relationships. This study is one of the longest qualitative follow-ups of a weight loss trial to date, offering unique insights into long-term maintenance. Future programmes should emphasize strategies focusing on self-monitoring, planning and managing interpersonal relationships to help participants successfully maintain weight-loss in the longer-term.

Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study

Background

Body weight variability (BWV) is common in the general population and may act as a risk factor for obesity or diseases. The correct identification of these patterns may have prognostic or predictive value in clinical and research settings. With advancements in technology allowing for the frequent collection of body weight data from electronic smart scales, new opportunities to analyze and identify patterns in body weight data are available.

Objective

This study aims to compare multiple methods of data imputation and BWV calculation using linear and nonlinear approaches

Methods

In total, 50 participants from an ongoing weight loss maintenance study (the NoHoW study) were selected to develop the procedure. We addressed the following aspects of data analysis: cleaning, imputation, detrending, and calculation of total and local BWV. To test imputation, missing data were simulated at random and using real patterns of missingness. A total of 10 imputation strategies were tested. Next, BWV was calculated using linear and nonlinear approaches, and the effects of missing data and data imputation on these estimates were investigated.

Results

Body weight imputation using structural modeling with Kalman smoothing or an exponentially weighted moving average provided the best agreement with observed values (root mean square error range 0.62%-0.64%). Imputation performance decreased with missingness and was similar between random and nonrandom simulations. Errors in BWV estimations from missing simulated data sets were low (2%-7% with 80% missing data or a mean of 67, SD 40.1 available body weights) compared with that of imputation strategies where errors were significantly greater, varying by imputation method.

Conclusions

The decision to impute body weight data depends on the purpose of the analysis. Directions for the best performing imputation methods are provided. For the purpose of estimating BWV, data imputation should not be conducted. Linear and nonlinear methods of estimating BWV provide reasonably accurate estimates under high proportions (80%) of missing data.

Validation of the Arabic version of the Eating Attitude Test in Lebanon: a population study

OBJECTIVES

To validate an Arabic version of the Eating Attitude Test (EAT-26) and identify factors (such as depression, stress, anxiety and body dissatisfaction) that might be associated with disordered eating among a sample of the Lebanese population.

DESIGN

Cross-sectional study.

SETTING

All Lebanese governorates.

PARTICIPANTS

A total of 811 participants randomly selected participated in this 5-month study (January-May 2018).

RESULTS

The EAT-26 scale items converged over a solution of six factors that had an eigenvalue over 1, explaining a total of 60·07 % of the variance (Cronbach's α = 0·895). The prevalence of disordered eating attitudes was 23·8 %. Higher EAT-26 scores (disordered eating attitudes) were significantly associated with higher depression (β = 0·325), higher emotional eating (β = 0·083), daily weighing (β = 3·430), higher physical activity (β = 0·05), starving to reduce weight (β = 4·94) and feeling pressure from TV/magazine to lose weight (β = 3·95).

CONCLUSIONS

The Arabic version of EAT-26 can be a useful instrument for screening and assessing disordered eating attitudes in clinical practice and research. Some factors seem to be associated with more disordered eating attitudes among participants for whom psychological counseling may be needed. Yet, our findings are considered preliminary, and further studies are warranted to confirm them.

Drivers of weight loss in a CDC-recognized digital diabetes prevention program

INTRODUCTION

To investigate the impact of the digital Livongo Diabetes Prevention Program (DPP) on weight at 12 months, understand participants' self-monitoring behaviors associated with greater weight loss, and evaluate the impact of coaching interactions on more frequent self-monitoring behaviors.

RESEARCH DESIGN AND METHODS

A retrospective analysis was performed using data from 2037 participants enrolled in the Livongo DPP who completed lesson 1 and recorded a starting weight during 2016-2017. Self-monitoring behaviors, including weigh-ins, food logging, activity, and coach-participant interactions, were analyzed at 6 and 12 months. Subgroup analysis was conducted based on those who were highly engaged versus those minimally engaged. Multiple regression analysis was performed using demographic, self-monitoring, and lesson attendance data to determine predictors of weight loss at 12 months and coaching impact on self-monitoring.

RESULTS

Participants had a mean age of 50 years (SD ±12), with a starting weight of 94 kg (SD ±21), were college-educated (78%), and were female (74%). Overall, participants lost on average 5.1% of their starting weight. Highly engaged participants lost 6.6% of starting body weight, with 25% losing ≥10% at 12 months. Logistic regression analysis showed each submitted food log was associated with 0.23 kg (p<0.05) weight loss, each lesson completed was associated with 0.14 kg (p<0.05) weight loss, and a week of 150 active minutes was associated with 0.1 kg (p<0.01) weight loss. One additional coach-participant message each week was associated with 1.4 more food logs per week, 1.6% increase in weeks with four or more weigh-ins, and a 2.7% increase in weeks with 150 min of activity.

CONCLUSIONS

Food logging had the largest impact on weight loss, followed by lesson engagement and physical activity. Future studies should examine further opportunities to deliver nutrition-based content to increase and sustain weight loss for DPP.

Effectiveness of a self-regulation intervention for weight loss: A randomized controlled trial

OBJECTIVES

To evaluate effectiveness and acceptability of a novel intervention, based on self-regulation theory, for weight loss.

DESIGN

A two-arm parallel group design was employed.

METHODS

Adult participants with a BMI ≥ 30 kg/m² and the aim to lose weight were recruited and randomized to either a control or intervention group. Both groups were asked to weigh themselves daily for eight weeks. The intervention group was encouraged to use a weight tracking app, and complete daily and weekly questionnaires to prompt action planning, reflection, and evaluation of actions. Participants chose daily actions from a menu of 53 behaviours. The primary outcome was weight change after 8 weeks, assessed using linear mixed effects models. At follow-up, 20 intervention group participants were interviewed regarding their experiences in the trial.

RESULTS

100 participants were recruited, and 98% were followed up at 8 weeks. Mean weight loss was -4.18 kg (SD = 3.84) in the intervention compared to -1.01 kg (SD = 2.67) in the control group; the adjusted difference was -3.20 kg (95% CI -4.49, -1.92). Participants rated the intervention's usefulness as 8.25 (SD = 2.04) on a scale from 1 to 10. Adherence was a significant independent predictor of weight loss success (-1.54 kg per one SD, 95% CI -2.16, -0.93), but not a mediator of the intervention effect. Participants reported that the intervention enabled them to experiment with and identify effective weight loss actions.

CONCLUSIONS

Guiding participants through the self-regulation process was feasible, acceptable to participants, and led to significantly greater short-term weight loss than unguided self-weighing.

Why young women gain weight: A narrative review of influencing factors and possible solutions

Significant weight gain occurs in women during young adulthood, which increases risk of diseases such as diabetes, cardiovascular disease, and many cancers. This review aims to inform future individually targeted weight gain prevention programmes and summarizes possible targets: key life events, mediators that influence energy intake and physical activity levels, and moderators that could identify groups of women at greatest risk. Life events affecting weight include pregnancy and motherhood, smoking cessation, marriage and cohabiting, attending university, and possibly bereavement. Research has identified successful methods for preventing weight gain associated with pregnancy and motherhood, which could now be used in practice, but evidence is inconclusive for preventing weight gain around other life events. Weight gain is mediated by lack of knowledge and skills around food and nutrition, depression, anxiety, stress, satiety, neural responses, and possibly sleep patterns and premenstrual cravings. A paucity of research exists into altering these to limit weight gain. Moderators include socioeconomic status, genetics, personality traits, and eating styles. More research is required to identify at-risk females and engage them in weight gain prevention. There is a need to address evidence gaps highlighted and implement what is currently known to develop effective strategies to limit weight gain in young women.

Effects of Self-Weighing During Weight Loss Treatment: A 6-Month Randomized Controlled Trial

Objective

To examine the effectiveness of self-weighing for weight loss in men for 6 months.

Methods

In the present study, 54 men, mean age of 40.1 ± 11.1 years, with overweight or obesity, were recruited and randomly assigned into two groups: control group (CG), without weight self-monitoring and intervention group (IG), with weight self-monitoring. Both groups received the same nutritional and educational advice and the establishment of a weight target to reach in the weight loss program. Subjects of IG also had individualized motivating content to improve self-management for 24 weeks. Anthropometric indices were measured at baseline and weekly for 24 weeks.

Results

When the group assigned after randomization was introduced in the analysis, its influence was significant in weight loss (F1.52 = 19.465, ± 2 = 0.272, p < 0.001) and in the decrease in body fat percentage (F1.52 = 8,306, ± 2 = 0.132, p < 0.01).

Conclusion

Study results indicate that self-weighing can help patients to lose additional weight. Our findings have implications in the emerging area of the behavioral approach of patients undergoing weight-loss treatment, as well as clinical care processes.

Clinical Trial Registration

www.ClinicalTrials.gov, identifier NCT04032249.

Relation of self-weighing to future weight gain and onset of disordered eating symptoms

OBJECTIVE

Frequent self-weighing is recommended in weight loss interventions and may prevent weight gain. However, concerns regarding the associations between self-weighing and eating disorders have been expressed and the relations between self-weighing and weight gain/eating pathology have not been examined prospectively. We tested whether (a) frequency of baseline self-weighing in college students with weight concerns predicted weight change over 2-year follow-up, (b) this relation was moderated by eating disorder symptoms, and (c) self-weighing predicted future eating disorder symptoms.

METHOD

Data were merged from two trials evaluating obesity/eating disorder prevention programs in 762 students (Mage = 18.7; 86% women). Participants reported how often they weighed themselves at baseline; body mass index (BMI) and eating disorder symptoms were assessed over 2-year follow-up.

RESULTS

Baseline self-weighing predicted weight gain, with more frequent weighers experiencing greater gains (i.e., +0.8 of BMI) over follow-up. This relation was moderated by the frequency of binge eating but not weight/shape concerns or compensatory behaviors; the combination of more frequent self-weighing and binge eating was associated with greatest weight gain (+1.6 of BMI). More frequent weighers also reported higher onset of compensatory behaviors, relative to non-self-weighers (odds ratio = 3.90, 95% confidence interval [1.76, 8.75]).

CONCLUSIONS

Young adults who weighed themselves more frequently had greater weight gain than those who self-weighed less frequently, especially those who engaged in binge eating, and were at risk for future unhealthy compensatory behaviors. Findings suggest that frequent self-weighing may have negative effects for some young adults, and that relations between self-weighing and weight control outcomes require further investigation. (PsycINFO Database Record

Prevalence and predictors of weight loss maintenance: a retrospective population-based survey of European adults with overweight and obesity

BACKGROUND

The prevalence of weight loss attempts has increased worldwide, although the extent to which sustained weight loss is achieved is unknown. There is insufficient research into weight loss maintenance (WLM) in individuals with overweight or obesity who have recently lost clinically significant amounts of weight (≥5%), particularly in the European general population. The present study aimed to determine the prevalence and retrospective predictors of WLM in population-based samples of European adults with overweight or obesity who had made a recently completed weight loss attempt.

METHODS

Participants (N = 2000) in UK, Denmark and Portugal completed an online survey about loss and regain in their most recent completed weight loss attempt, features of their attempt (duration, self-weighing, lapses, strategies), as well as loss of control and binge eating. Multiple regression analysis was used to determine factors retrospectively associated with WLM in those who achieved clinically significant weight loss (n = 1272).

RESULTS

Mean (SD) self-reported weight loss was 9% (8%) and mean (SD) regain was 96.3% (9%) of participants' start weight. Twenty-three percent of the total sample had maintained weight loss of ≥5% for at least 1 month. Controlling for weight loss and time since attempt, predictors of better WLM were avoidance of a temporary lapse, infrequent/absent loss of control and binge eating, and use of a greater number of dietary strategies for WLM (r²  = 0.338, P < 0.001).

PRINCIPAL CONCLUSIONS

Factors associated with recent successful WLM indicate the importance of the continued use of dietary and other strategies for WLM, particularly in the face of a lapse, as well as the need to manage dysfunctional eating behaviours.

Daily Self-Weighing to Prevent Holiday-Associated Weight Gain in Adults

OBJECTIVE

Holiday weight gain is reported to be 0.4 to 1.5 kg and may contribute to annual weight gain. The objective of this study was to test the efficacy of daily self-weighing (DSW) using visual graphical feedback (GF) to prevent holiday weight gain.

METHODS

A total of 111 adults were randomly assigned into a control or DSW + GF group and completed the preholiday visit (v1; before Thanksgiving), the postholiday visit (v2; after New Year's Day), and the follow-up visit (v3; 14 weeks after v2). The participants in the DSW + GF group performed DSW with Wi-Fi scales during the holidays and were told to try not to gain weight above baseline weight.

RESULTS

There was no change in weight with DSW + GF, whereas the control group gained weight from v1 to v2 (-0.13 ± 0.27 kg vs. 2.65 ± 0.33 kg, P < 0.001, respectively). In the control group, weight change was similar between individuals with overweight or obesity (OW/OB) versus individuals with normal weight (2.71 ± 0.48 kg vs. 2.62 ± 0.43 kg, not significant, respectively). For DSW + GF, individuals with OW/OB lost weight whereas those with normal weight maintained weight during the holidays (-1.46 ± 0.62 kg vs. 0.33 ± 0.27 kg, P = 0.01, respectively). The control group lost weight during the follow-up (-1.14 ± 0.43 kg, P = 0.01; v2 to v3) but retained 57% of weight gain; therefore, weight gain from v1 to v3 was significant (1.51 ± 0.39 kg, P < 0.001).

CONCLUSIONS

DSW + GF was a successful approach to prevent holiday weight gain, with those with OW/OB responding most favorably to DSW + GF.

Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomised controlled trial in the UK (NULevel Trial)

BACKGROUND

Scalable weight loss maintenance (WLM) interventions for adults with obesity are lacking but vital for the health and economic benefits of weight loss to be fully realised. We examined the effectiveness and cost-effectiveness of a low-intensity technology-mediated behavioural intervention to support WLM in adults with obesity after clinically significant weight loss (≥5%) compared to standard lifestyle advice.

METHODS AND FINDINGS

The NULevel trial was an open-label randomised controlled superiority trial in 288 adults recruited April 2014 to May 2015 with weight loss of ≥5% within the previous 12 months, from a pre-weight loss BMI of ≥30 kg/m2. Participants were self-selected, and the majority self-certified previous weight loss. We used a web-based randomisation system to assign participants to either standard lifestyle advice via newsletter (control arm) or a technology-mediated low-intensity behavioural WLM programme (intervention arm). The intervention comprised a single face-to-face goal-setting meeting, self-monitoring, and remote feedback on weight, diet, and physical activity via links embedded in short message service (SMS). All participants were provided with wirelessly connected weighing scales, but only participants in the intervention arm were instructed to weigh themselves daily and told that they would receive feedback on their weight. After 12 months, we measured the primary outcome, weight (kilograms), as well as frequency of self-weighing, objective physical activity (via accelerometry), psychological variables, and cost-effectiveness. The study was powered to detect a between-group weight difference of ±2.5 kg at follow-up. Overall, 264 participants (92%) completed the trial. Mean weight gain from baseline to 12 months was 1.8 kg (95% CI 0.5-3.1) in the intervention group (n = 131) and 1.8 kg (95% CI 0.6-3.0) in the control group (n = 133). There was no evidence of an effect on weight at 12 months (difference in adjusted mean weight change from baseline: -0.07 [95% CI 1.7 to -1.9], p = 0.9). Intervention participants weighed themselves more frequently than control participants and were more physically active. Intervention participants reported greater satisfaction with weight outcomes, more planning for dietary and physical activity goals and for managing lapses, and greater confidence for healthy eating, weight loss, and WLM. Potential limitations, such as the use of connected weighing study in both trial arms, the absence of a measurement of energy intake, and the recruitment from one region of the United Kingdom, are discussed.

CONCLUSIONS

There was no difference in the WLM of participants who received the NULevel intervention compared to participants who received standard lifestyle advice via newsletter. The intervention affected some, but not all, process-related secondary outcomes of the trial.

TRIAL REGISTRATION

This trial is registered with the ISRCTN registry (ISRCTN 14657176; registration date 20 March 2014).

Effect of Serial Anthropometric Measurements and Motivational Text Messages on Weight Reduction Among Workers: Pilot Randomized Controlled Trial

BACKGROUND

Obesity is an endemic problem with significant health and financial consequences. Text messaging has been shown to be a simple and effective method of facilitating weight reduction. In addition, waist-to-hip ratio (WHR) has emerged as a significant anthropometric measure. However, few studies have examined the effect of serial anthropometric self-measurement combined with text messaging.

OBJECTIVE

The primary aim of this study was to assess whether an 8-week program, consisting of weekly serial self-measurements of waist and hip circumference, combined with motivational text messages, could reduce WHR among Australian workers.

METHODS

This was a community-based, participant-blinded, staggered-entry, parallel group study. Adult workers with access to mobile phones were eligible and recruited through an open access Web-based survey. Participants were randomly allocated to receive intervention or control messages for 8 weeks. Outcome data were self-assessed through a Web-based survey.

RESULTS

A total of 60 participants were randomized with 30 participants each allocated to a control and an intervention group. There was no significant change in WHR (P=.43), and all secondary outcome measures did not differ between the intervention group and the control group at the end of the 8-week intervention. Both groups, however, showed a significant decrease in burnout over time (mean [SE]: pre 4.80 [0.39] vs post 3.36 [0.46]; P=.004). The intervention uptake followed a downward trend. Peak participant replies to weekly self-measurements were received in week 3 (14/23, 61%) and the least in week 8 (8/23, 35%). No harm was found to result from this study.

CONCLUSIONS

This study is an innovative pilot trial using text messaging and serial anthropometric measurements in weight management. No change was detected in WHRs in Australian workers over 8 weeks; therefore, it could not be concluded whether the intervention affected the primary outcome. However, these results should be interpreted in the context of limited sample size and decreasing intervention uptake over the course of the study. This pilot trial is useful for informing and contributing to the design of future studies and the growing body of literature on serial self-measurements combined with text messaging.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12616001496404; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371696&isReview=true (Archived by WebCite at http://www.webcitation.org/73UkKFjSw).

Testosterone therapy to prevent type 2 diabetes mellitus in at-risk men (T4DM): Design and implementation of a double-blind randomized controlled trial

BACKGROUND

Low circulating testosterone is associated with an increased risk of developing type 2 diabetes (T2DM) in overweight men with impaired glucose tolerance (IGT).

AIMS

To determine in a multi-centre, double-blinded placebo-controlled randomized trial whether testosterone treatment combined with lifestyle intervention (Weight Watchers) relative to lifestyle intervention alone reduces T2DM incidence and improves glucose tolerance at 2 years.

STUDY POPULATION

Overweight or obese men aged 50-74 years with a serum testosterone of ≤14 nmol/L and IGT or newly diagnosed T2DM established by an oral glucose tolerance test (OGTT).

SETTING, DRUG AND PROTOCOL

Six Australian capital city-based tertiary care centres. Participants were randomized 1:1 and injected with testosterone undecanoate (1000 mg/4 mL) or vehicle (4 mL castor oil), at baseline, 6 weeks and 3-monthly thereafter. PRIMARY ENDPOINTS: (a) Proportion of participants with 2-hour OGTT ≥11.1 mmol/L at 2 years, and (b) a difference at 2 years ≥0.6 mmol/L in the mean 2-hour OGTT glucose between treatments.

SECONDARY ENDPOINTS

Fasting insulin, HbA1c, body composition, maximal handgrip strength; sexual function and lower urinary tract symptoms; serum sex steroids and sex hormone binding globulin; mood and psychosocial function; adherence to lifestyle intervention; and healthcare utilization and costs.

SAFETY

Overseen by an Independent Data Safety Monitoring Committee. Haematocrit, lipids and prostate-specific antigen (PSA) are assessed 6-monthly and information relating to haematological, urological and cardiovascular adverse events from each clinic visit. SUB-STUDIES: (a) Changes in bone density and micro-architecture, (b) motivation and behaviour, (c) telomere length, (d) extended treatment up to 4 years, and (e) hypothalamo-pituitary testicular axis recovery at treatment end.

Accuracy of Self-Report Versus Objective Smart-Scale Weights During a 12-Week Weight Management Intervention

OBJECTIVE

Greater frequency of self-weighing has been associated with greater weight loss in weight management interventions, but little is known regarding the accuracy of self-reported weight data.

METHODS

Agreement between objective smart-scale and self-reported weight data was assessed in 74 adults (age = 50.7 years; BMI = 31.2 kg/m² ) enrolled in a 12-week, Internet-based weight management program. Participants were asked to self-weight daily using a study-provided smart scale and to self-report weights via the study website.

RESULTS

There was strong agreement between smart-scale and self-reported weight values (intraclass correlation = 0.982) but only moderate agreement regarding frequency of self-weighing assessed via each method (κ = 0.491; P < 0.0001). Greater self-weighing frequency was associated with greater weight loss across measures (all P < 0.001). Compared with days when participants did both, weights were 0.66 kg higher on days when participants self-weighed via the smart scale but did not self-report weight (8% of days) and 0.58 kg higher on days when they self-reported weight but did not self-weigh via the smart scale (4% of days; all P < 0.0001).

CONCLUSIONS

Results suggest that self-reported weight values are similar to smart-scale measurements; however, either method alone may underestimate self-weighing frequency. Furthermore, missing self-weighing data should not be treated as ignorable because weights may be higher than those observed on nonmissing days.

Helpful or harmful? The comparative value of self-weighing and calorie counting versus intuitive eating on the eating disorder symptomology of college students

OBJECTIVE

The current study evaluated the comparative implications of self-weighing and calorie counting versus intuitive eating (IE) on the eating disorder (ED) severity of college students.

METHODS

In this cross-sectional study, college students in the US [N = 902; 68% female; mean body mass index (BMI) = 24.3] completed the web-based Healthy Bodies Study in 2015.

RESULTS

A hierarchical multiple regression analysis revealed that elevated BMI, more frequent self-weighing and calorie counting, and lower IE scores predicted increased ED severity. The results of Kruskal-Wallis H tests indicated that participants with elevated weight statuses engaged in self-weighing and calorie counting more frequently, and possessed lower IE scores, than their lower weight counterparts.

CONCLUSION

Engaging in self-weighing and calorie counting was adversely associated with ED severity among the present sample of college students. Cultivating IE within health promotion efforts may, instead, lead to favorable eating-related outcomes that may translate to the holistic health of this population.

LEVEL OF EVIDENCE

V cross-sectional descriptive study.

Multi-sensor ecological momentary assessment of behavioral and psychosocial predictors of weight loss following bariatric surgery: study protocol for a multicenter prospective longitudinal evaluation

BACKGROUND

Bariatric surgery is currently the most effective strategy for producing significant and durable weight loss. Yet, not all patients achieve initial weight loss success and some degree of weight regain is very common, sometimes as early as 1-2 years post-surgery. Suboptimal weight loss not fully explained by surgical, demographic, and medical factors has led to greater emphasis on patient behaviors evidenced by clinical guidelines for appropriate eating and physical activity. However, research to inform such guidelines has often relied on imprecise measures or not been specific to bariatric surgery. There is also little understanding of what psychosocial factors and environmental contexts impact outcomes. To address research gaps and measurement limitations, we designed a protocol that innovatively integrates multiple measurement tools to determine which behaviors, environmental contexts, and psychosocial factors are related to outcomes and explore how psychosocial factors/environmental contexts influence weight. This paper provides a detailed description of our study protocol with a focus on developing and deploying a multi-sensor assessment tool to meet our study aims.

METHODS

This NIH-funded prospective cohort study evaluates behavioral, psychosocial, and environmental predictors of weight loss after bariatric surgery using a multi-sensor platform that integrates objective sensors and self-report information collected via smartphone in real-time in patients' natural environment. A target sample of 100 adult, bariatric surgery patients (ages 21-70) use this multi-sensor platform at preoperative baseline, as well as 3, 6, and 12 months postoperatively, to assess recommended behaviors (e.g., meal frequency, physical activity), psychosocial indicators with prior evidence of an association with surgical outcomes (e.g., mood/depression), and key environmental factors (e.g., type/quality of food environment). Weight also is measured at each assessment point.

DISCUSSION

This project has the potential to build a more sophisticated and valid understanding of behavioral and psychosocial factors contributing to success and risk after bariatric surgery. This new understanding could directly contribute to improved (i.e., specific, consistent, and validated) guidelines for recommended pre- and postoperative behaviors, which could lead to improved surgical outcomes. These data will also inform behavioral, psychosocial, and environmental targets for adjunctive interventions to improve surgical outcomes.

TRIAL REGISTRATION

Registered trial NCT02777177 on 5/19/2016.

Anxiety, Incentives, and Adherence to Self-Monitoring on a Mobile Health Platform: A Naturalistic Longitudinal Cohort Study in People With Headache

OBJECTIVE

To evaluate factors associated naturalistically with adherence to a mobile headache diary.

BACKGROUND

Self-monitoring (keeping a headache diary) is commonly used in headache to enhance diagnostic accuracy and evaluate the effectiveness of headache therapies. Mobile applications are increasingly used to facilitate keeping a headache diary. Little is known about the factors associated with adherence to mobile headache diaries.

METHODS

In this naturalistic longitudinal cohort study, people with headache (n = 1561) registered to use Curelator Headache® (now called N1-Headache®), an application that includes a mobile headache diary, through their physician (coupon), or directly through the website or app store using either a paid or free version of the application. Participants completed baseline questionnaires and were asked to complete daily recordings of headache symptoms and other factors for at least 90 days. Baseline questionnaires included headache characteristics and migraine disability. Daily recordings included headache symptoms and anxiety ratings. Adherence to keeping the headache diary was conceptualized as completion (kept the headache diary for 90 days), adherence rate (proportion of diary days completed 90 days after registration), and completion delay (the number of days past 90 days after registration required to complete 90 days of headache diary).

RESULTS

The majority of participants reported migraine as the most common headache type (90.0%), and reported an average of 30.8 headache days/90 days (SD = 24.2). One-third of participants completed 90 days of headache diary (32.4%). Endorsing higher daily anxiety scores (8/10 OR = 0.97 [95% CI = 0.96, 0.99]; 10/10 OR = 0.96 [95% CI = 0.91, 0.99]) was associated with lower odds of completion, whereas higher age (OR = 1.04 [95% CI = 1.03, 1.05]), and downloading the app paid vs free (OR = 4.27 [95% CI = 2.62, 7.06]), paid vs coupon (OR = 2.43, 95% CI = 1.41, 4.26]), or through a physician coupon vs free (OR = 1.75 [95% CI = 1.27, 2.42]) were associated with higher odds of completion. The median adherence rate at 90 days was 0.34 (IQR = 0.10-0.88), indicating that half of participants kept 34 or fewer days 90 diary days after registration. Endorsing high daily anxiety scores (5/10 OR = 0.98 [95% CI = 0.97, 1.00]; 8/10 OR = 0.96 [95% CI = 0.94, 0.98]; 10/10 OR = 0.96 [9% CI = 0.92, 0.98]) and higher age (OR = 1.05 [95% CI = 1.04, 1.07]) were associated with lower odds of adhering at 90 days, whereas downloading the app paid vs free (OR = 9.63 [95% CI = 4.61, 25.51]), paid vs coupon (OR = 2.39, 95% CI = 1.27, 5.10]), or through a physician coupon vs free (OR = 4.01 [95% CI = 2.54, 7.26]) were associated with higher odds of adhering at 90 days. Among completers, the median completion delay was 6.0 days (IQR = 2.0-15.0). Among completers, endorsing high daily anxiety scores (9/10 OR = 1/06 [95% CI = 1.01, 1.12]) and younger age (OR = 0.98 [95% CI = 0.97, 1.00]) was associated with completion delay; downloading the app through physician coupon vs free (OR = 0.40 [95% CI = 0.22, 0.71]) or paid vs free (OR = 0.38 [95% CI = 0.20, 0.72]) was associated with lower odds of completing 90 diary days in 90 calendar days.

CONCLUSION

This naturalistic observational study confirmed evidence from clinical observation and research: adherence to mobile headache diaries is a challenge for a significant proportion of people with headache. Endorsing higher levels of daily anxiety, younger age, and downloading the app for free (vs either paying for the self-monitoring app or receiving a physician referral coupon) were associated with poorer adherence to keeping a mobile headache diary.

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.

Habit-based interventions for weight loss maintenance in adults with overweight and obesity: a randomized controlled trial

OBJECTIVES

The objective of this study was to determine whether habit-based interventions are clinically beneficial in achieving long-term (12-month) weight loss maintenance and explore whether making new habits or breaking old habits is more effective.

METHODS

Volunteer community members aged 18-75 years who had overweight or obesity (BMI ≥ 25 kg/m²) were randomized in a single-blind, three-arm, randomized controlled trial. Ten Top Tips (TTT), Do Something Different (DSD), and the attention-only waitlist (WL) control groups were conducted for 12 weeks from July to October 2015. Participants were followed up post-intervention (all groups) and at 6 and 12-month post-intervention (Ten Top Tips and Do Something Different only). The primary outcome was weight-loss maintenance at 12-month follow-up. Secondary outcomes included weight loss at all time points, fruit and vegetable consumption, exercise, wellbeing, depression, anxiety, habit strength, and openness to change.

RESULTS

Of the 130 participants assessed for eligibility, 75 adults (mean BMI 34.5 kg/m² [SD 6.2]), with a mean age of 51 years were recruited. Assessments were completed post-intervention by 66/75 (88%) of participants and by 43/50 (86%) at 12 months. At post-intervention, participants in the Ten Top Tips (-3.3 kg; 95% CI -5.2, -1.4) and Do Something Different (-2.9 kg; 95% CI -4.3, -1.4) interventions lost significantly more weight (P = < .001) than those on the waitlist control (-0.4 kg; 95% CI -1.2, 0.3). Both intervention groups continued to lose further weight to the 12-month follow-up; TTT lost an additional -2.4 kg (95% CI -5.1, 0.4) and DSD lost -1.7 kg (95% CI -3.4, -0.1). At 12-month post-intervention, 28/43 (65%) of participants in both intervention groups had reduced their total body weight by ≥5%, a clinically important change.

CONCLUSIONS

Habit-based weight-loss interventions-forming new habits (TTT) and breaking old habits (DSD), resulted in clinically important weight-loss maintenance at 12-month follow-up.

Predictors of weight reduction and maintenance in a large cohort of overweight and obese adults in a community setting

AIM

In overweight/obese individuals, modest 5% weight loss and its maintenance promotes health; however, it is challenging and typically unachievable, especially in community settings. Established predictors of weight loss outcome in a community setting are lacking, hindering the development of practical interventions and prevention tools. Our aim was to identify predictors associated with 5% weight reduction (initial 6 months) and maintenance (1 year) in overweight and obese adults undergoing weight reduction treatment, free of charge, in a community setting.

METHODS

Computerised medical files of 11 842 adults aged 50.6 ± 16.3 years, attending 162 primary clinics, were analysed retrospectively. Thirty medical, biochemical and demographic independent variables were tested as potential predictors using multiple logistic regression models.

RESULTS

Significant predictors of high successful weight reduction were: not being treated with insulin (odds ratio (OR) = 0.53), higher baseline body mass index (OR = 1.05) and younger age (OR = 0.98). Weight maintenance predictors were: successful initial weight reduction (OR = 1.26), short time intervals between weighings (OR = 0.88) and frequent weighing (OR = 0.95). Visits to a dietitian were significantly associated with success during both periods: each visit raised the probability of success by 13.4 and 7.6%, respectively. Type 2 diabetes or use of hypoglycaemic drugs were not significant predictors.

CONCLUSIONS

In a community-based setting, number of visits to a dietitian is a strong predictor of successful weight reduction and maintenance. Initial success is a critical predictor of weight loss maintenance. Subgroup of older, diabetic patients treated with insulin has a dramatically lower probability of weight reduction success.

Weight loss and frequency of body-weight self-monitoring in an online commercial weight management program with and without a cellular-connected 'smart' scale: a randomized pilot study

Objective

Evaluate the effects of an online commercial weight management program, with and without provision of a 'smart' scale with instructions to weigh daily and weekly tailored feedback, on weight loss and the frequency of body-weight self-monitoring.

Methods

Participants (N = 92; body mass index 27-40 kg/m²) were randomized to 6 months of no-cost access to the Weight Watchers Online (WWO) platform alone, or enhanced with a cellular-connected 'smart' scale, instructions to weigh daily and weekly pre-scripted email feedback (Weight Watchers Online Enhanced [WWO-E]). The number of days that weight was self-monitored (via 'smart' scale in WWO-E and manually in WWO) was recorded automatically across the 6-month trial. Objective weight was measured at baseline, 3 and 6 months.

Results

While both groups achieved statistically significant weight loss, mean ± standard error weight loss did not differ between WWO-E and WWO at 3 months (5.1 ± 0.6 kg vs. 4.0 ± 0.7 kg, respectively; p = 0.257) or 6 months (5.3 ± 0.6 kg vs. 3.9 ± 0.7 kg, respectively; p = 0.116). However, a greater proportion of WWO-E lost ≥5% of initial body weight at 3 months (52.2% vs. 28.3%; p = 0.033), but not 6 months (43.5% vs. 30.4%; p = 0.280), compared with WWO. Mean ± standard deviation days with self-monitored weight was higher in WWO-E (80.5 ± 5.6; 44.7% of days) than WWO (12.0 ± 1.0; 6.7% of days; p < 0.001) across the 6-month study period.

Conclusions

This is the first study to show that provision of a 'smart' scale with weekly tailored feedback substantially increased the frequency of self-weighing and the proportion of participants achieving an initial clinically significant ≥5% weight loss (52% vs. 28%) in an online commercial weight management program. Both WWO and WWO-E produced significant weight loss over 6 months. While mean weight losses were slightly greater in the enhanced group, the difference was not statistically significant in this small sample. This study provides support for the clinical utility of online commercial weight management programs and the potential for supporting technology such as 'smart' scales to improve adherence to body-weight self-monitoring and clinical outcomes.

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.

Daily self-weighing and weight gain prevention: a longitudinal study of college-aged women

Daily self-weighing has been suggested as an important factor for weight loss maintenance among samples with obesity. This study is a secondary analysis that examined daily self-weighing in association with weight and body composition outcomes over 2 years among young women with vulnerability for weight gain. Women (N = 294) of varying weight status completed self-weighing frequency questionnaires and weight was measured in the clinic at baseline, 6 months, 1, and 2 years; DXA scans were completed at baseline, 6 months and 2 years. Multilevel models examined the relationship between daily self-weighing (at any point in the study) and trajectories of BMI and body fat percentage. Daily self-weighing was associated with significant declines in BMI and body fat percent over time. Future research is needed to examine causal relations between daily self-weighing and weight gain prevention. Nonetheless, these data extend the possibility that daily self-weighing may be important for prevention of unwanted weight gain.

Postoperative Behavioral Variables and Weight Change 3 Years After Bariatric Surgery

IMPORTANCE

Severe obesity (body mass index ≥35 [calculated as weight in kilograms divided by height in meters squared]) is associated with significant medical comorbidity and increased mortality. Bariatric surgery induces weight loss, the extent of which can vary. Postoperative predictors of weight loss have not been adequately examined.

OBJECTIVE

To describe postoperative eating behaviors and weight control and their effects on 3-year change in weight.

DESIGN, SETTING, AND PARTICIPANTS

The Longitudinal Assessment of Bariatric Surgery-2 (LABS-2) study is a multicenter observational cohort study at 10 US hospitals in 6 geographically diverse clinical centers. Adults undergoing first-time bariatric surgical procedures as part of routine clinical care were recruited between 2006 and 2009 and followed up until September 2012. Participants completed detailed surveys regarding eating and weight control behaviors prior to surgery and then annually after surgery for 3 years.

MAIN OUTCOMES AND MEASURES

Twenty-five postoperative behaviors related to eating behavior, eating problems, weight control practices, and the problematic use of alcohol, smoking, and illegal drugs. Behaviors examined were divided into those that were never present (preoperatively or postoperatively), those that were always present (preoperatively and postoperatively), and those that underwent a healthy change after surgery (development of a positive behavior or omission of a negative behavior).

RESULTS

The sample included a total of 2022 participants (median age, 47 years [interquartile range, 38-55 years]; median BMI, 46 [interquartile range, 42-51]; 78% women): 1513 who had undergone Roux-en-Y gastric bypass and 509 who had undergone laparoscopic adjustable gastric banding. If we consider the cumulative effects of the 3 behaviors that explain most of the variability (16%) in 3-year percent weight change following Roux-en-Y gastric bypass, ie, weekly self-weighing, continuing to eat when feeling full more than once a week, and eating continuously during the day, a participant who postoperatively started to self-weigh, stopped eating when feeling full, and stopped eating continuously during the day after surgery would be predicted to lose a mean (SE) of 38.8% (0.8%) of their baseline weight. This average is about 14% greater weight loss compared with participants who made no positive changes in these variables (mean [SE], -24.6% [1.6%]; mean difference, -14.2%; 95% CI, -18.7% to -9.8%; P < .001) and 6% greater weight loss compared with participants who always reported positive on these healthy behaviors (mean [SE], -33.2% [0.6%]; mean difference, -5.7%; 95% CI, -7.8% to -3.5%; P < .001).

CONCLUSIONS AND RELEVANCE

The results suggest the importance of assessing behaviors related to eating behavior, eating problems, weight control practices, and the problematic use of alcohol, smoking, and illegal drugs in bariatric surgery candidates and patients who have undergone bariatric surgery, and they suggest that the utility of programs to modify problematic eating behaviors and eating patterns should be addressed in research.

Weighing as a stand-alone intervention does not reduce excessive gestational weight gain compared to routine antenatal care: a systematic review and meta-analysis of randomised controlled trials

Background

Excessive gestational weight gain is associated with short and long-term adverse maternal and infant health outcomes, independent of pre-pregnancy body mass index. Weighing pregnant women as a stand-alone intervention during antenatal visits is suggested to reduce pregnancy weight gain. In the absence of effective interventions to reduce excessive gestational gain within the real world setting, this study aims to test if routine weighing as a stand-alone intervention can reduce total pregnancy weight gain and, in particular, excessive gestational weight gain.

Methods

A systematic review and meta–analysis of randomised controlled trials (RCTs) was conducted between November 2014 and January 2016, and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Seven databases were searched. A priori eligibility criteria were applied to published literature by at least two independent reviewers. Studies considered methodologically rigorous, as per the Academy of Nutrition and Dietetics Quality Criteria Checklist for Primary Research, were included. Meta-analysis was conducted using fixed-effects models.

Results

A total of 5223 (non-duplicated) records were screened, resulting in two RCTs that were pooled for meta-analysis (n = 1068 randomised participants; n = 538 intervention, n = 534 control). No difference in total weight gain per week was observed between intervention and control groups (weighted mean difference (WMD) -0.00 kg/week, 95% confidence interval (CI) -0.03 to 0.02). There was also no reduction in excessive gestational weight gain between intervention and control, according to pre-pregnancy body mass index (BMI). However, total weight gain was lower in underweight women (n = 23, BMI <18.5 kg/m²) in the intervention compared to control group (−0.12 kg/week, 95% CI −0.23 to −0.01). No significant differences were observed for other pregnancy, birth and infant outcomes.

Conclusion

Weighing as a stand-alone intervention is not worse nor better at reducing excessive gestational weight gain than routine antenatal care.

Electronic supplementary material

The online version of this article (doi:10.1186/s12884-016-1207-2) contains supplementary material, which is available to authorized users.

Small weight gains during obesity treatment: normative or cause for concern?

Objectives

The objectives of the study are to characterize the frequency and size of small weight gains during behavioural weight loss treatment and to evaluate the relationship between small weight gains and weight loss outcomes.

Methods

Participants (n = 281) in a year‐long behavioural weight loss programme were weighed at treatment sessions, and between‐session weight gains were classified into several categories based on size. The occurrence of different gain magnitudes and their relation to weight loss were examined during both the active weight loss (months 1–6) and weight loss maintenance (months 7–12) phases of treatment.

Results

Weight gains were common during both phases of treatment, with smaller gains occurring more frequently than larger gains. Greater frequency of all gain magnitudes was associated with lesser weight loss during both phases. Additionally, participants who had just one or two weight gains of the smallest size examined (1.0–1.9 lb) lost less weight than those who had no gains.

Conclusions

Small gains appear to reflect true weight gain due to poor adherence to behavioural recommendations and are associated with worse weight loss outcomes, even when limited in number. Future research should examine how best to prevent small weight gains from occurring and how clinicians and participants should respond when a weight gain does occur to promote weight control success.

Preventing weight gain in African American breast cancer survivors using smart scales and activity trackers: a randomized controlled pilot study

PURPOSE

This study evaluated the feasibility and preliminary efficacy of two 6-month, self-regulation interventions that focused on daily self-weighing (DSW) and used objective monitoring and tailored feedback about weight (±activity), to prevent weight gain among African American breast cancer survivors.

METHODS

Participants (n = 35) were randomized to an intervention + activity monitoring (INT+), intervention (INT), or control (CON) group. Interventions included a wireless scale (±activity tracker) that transmitted objective data to a mobile app/website, emailed lessons, and tailored feedback based on objective weight (±activity data). Participants completed in-person and online assessments at baseline, 3 months, and 6 months.

RESULTS

Ninety-four percent of participants completed assessments at 3 months, and 97 % at 6 months. Median (IQR) weight change after 6 months was -0.9 % (-4.4-0.1) in the INT+ (p = 0.075; p = 0.067 vs. CON) and -0.2 % (-4.2-1.3) in the INT groups (p = 0.463; p = 0.357 vs. CON), versus a 0.2 % (-0.7-1.7) gain in the CON group. The proportion of INT+, INT, and CON participants that were at or below baseline weight was 72.7, 53.8, and 45.5 %, respectively (effect sizes d = 0.64, d = 0.18). Most INT+ participants weighed and wore trackers ≥5 days/week (INT+, 81.9 % vs. INT, 38.5 % vs. CON, 0 %; p < 0.0005; INT+, 72.7 %). Both intervention groups perceived DSW as positive, and 100 % would recommend the program to other breast cancer survivors.

CONCLUSION

An intervention focused on DSW as a self-monitoring strategy shows promise for preventing weight gain in breast cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Daily self-monitoring of weight and activity may be a feasible and accessible approach to promote weight gain prevention in breast cancer survivors.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov, NCT02030353.

Self-weighing behavior in individuals with eating disorders

OBJECTIVE

To describe the frequency of self-weighing and reactions to prescribed weekly weighing among individuals with eating disorder (ED) diagnoses, and to compare individuals weighing more or less frequently on mass index (BMI) and the Eating Disorder Examination (EDE) subscales.

METHOD

Baseline EDE and demographics from five studies (N = 758).

RESULTS

Self-weighing was most frequent among individuals with anorexia nervosa (AN), followed by those with bulimia nervosa (BN) and binge eating disorder (BED). On average, participants reacted moderately negative to prescribed weekly weighing. No relationship between weighing frequency and BMI was evident in any sample. There was indication of greater pathology (i.e., restraint, shape concern, weight concern, global) in AN with more frequent weighing. In BN, mixed evidence emerged to support a relationship between more frequent weighing and higher shape concern, weight concern, and global score. In BED, higher restraint was found in those who weighed versus those who did not.

DISCUSSION

Weighing frequency in each eating disorder (ED) sample was to some extent associated with greater ED severity, but not BMI. Future research should examine relationships between self-weighing, reactions to changing weighing frequency, and ED symptomatology in both ED and non-ED groups to understand the impact of self-weighing in heterogeneous populations. © 2016 Wiley Periodicals, Inc. (Int J Eat Disord 2016; 49:817-821).

Qualitative analysis of the role of self-weighing as a strategy of weight control for weight-loss maintainers in comparison with a normal, stable weight group

Self-weighing seems to have a primary role in weight-loss maintenance. The use of this strategy may help correct even slight weight regain and contribute to long-term weight stability. However, self-weighing has also been associated with negative psychological health consequences in specific subgroups. This study aimed to explore the use and the behavioral and psychological consequences of self-weighing in a group of weight-loss maintainers (WLoMs). We chose a qualitative design to conduct this investigation. Eighteen WLoMs were interviewed and compared to a matched comparison group of 18 participants with a lifelong normal stable weight (NSW). Analyses showed that most WLoMs needed regular self-weighing to be aware of their weight. The weight displayed on the scale helped WLoMs sustain the continuous efforts needed to maintain weight loss and also at times triggered corrective actions that were sometimes drastic. Weight changes generated both negative and positive affect among WLoMs, who could experience anxiety because of self-weighing or have their self-esteem impaired in the case of weight gain. In comparison, the NSW group rarely used self-weighing. They relied on a conscious way of living to control their weight and needed fewer strategies. NSW participants simply went back to their routine when they felt a slight increase in their weight, without experiencing consequences on their mood or self-esteem. Regular self-weighing as a component of weight-loss maintenance should be encouraged to help WLoMs regulate their food and physical activity, provided that potential consequences on psychological well-being, including self-esteem, are screened and addressed when needed.

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.

Enhancement of Self-Monitoring in a Web-Based Weight Loss Program by Extra Individualized Feedback and Reminders: Randomized Trial

Background

Self-monitoring is an essential behavioral strategy for effective weight loss programs. Traditionally, self-monitoring has been achieved using paper-based records. However, technology is now more frequently used to deliver treatment programs to overweight and obese adults. Information technologies, such as the Internet and mobile phones, allow innovative intervention features to be incorporated into treatment that may facilitate greater adherence to self-monitoring processes, provide motivation for behavior change, and ultimately lead to greater weight loss success.

Objective

The objective of our study was to determine whether the consistency of self-monitoring differed between participants randomly assigned to a basic or an enhanced 12-week commercial Web-based weight loss program.

Methods

We randomly assigned a sample of 301 adults (mean age 42.3 years; body mass index 31.3 kg/m2; female 176/301, 58.5%) to the basic or enhanced group. The basic program included tools for self-monitoring (online food and exercise diary, and a weekly weigh-in log) with some feedback and reminders to weigh in (by text or email). The enhanced program included the basic components, as well as extra individualized feedback on self-monitoring entries and reminders (by text, email, or telephone) to engage with self-monitoring tools. We evaluated the level of self-monitoring by examining the consistency of self-monitoring of food, exercise, and weight during the 12 weeks. Consistency was defined as the number of weeks during which participants completed a criterion number of entries (ie, ≥3 days of online food or exercise diary records per week and ≥1 weigh-in per week).

Results

The enhanced group’s consistency of use of self-monitoring tools was significantly greater than that of the basic group throughout the 12 weeks (median consistency for food 8 vs 3 weeks, respectively, P<.001; for exercise 2.5 vs 1 weeks, respectively, P=.003).

Conclusions

Enhanced features, including additional individualized feedback and reminders, are effective in enhancing self-monitoring behaviors in a Web-based weight loss program.

ClinicalTrial

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12610000197033; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=335159 (Archived by WebCite at http://www.webcitation.org/6gCQdj21G)

Adherent Use of Digital Health Trackers Is Associated with Weight Loss

We study the association between weight fluctuation and activity tracking in an on-line population of thousands of individuals using digital health trackers (1,749 ≤ N ≤ 14,411, depending on the activity tracker considered) with millions of recorded activities (119,292 ≤ N ≤ 2,221,382) over the years 2013–2015. In a first between-subject analysis, we found a positive association between activity tracking frequency and weight loss. Users who log food with moderate frequency lost an additional 0.63% (CI [0.55, 0.72]; p < .001) of their body weight per month relative to low frequency loggers. Frequent workout loggers lost an additional 0.38% (CI [0.20, 0.56]; p < .001) and frequent weight loggers lost an additional 0.40% (CI [0.33, 0.47]; p < .001) as compared to infrequent loggers. In a subsequent within-subject analysis on a subset of the population (799 ≤ N ≤ 6,052) with sufficient longitudinal data, we used fixed effect models to explore the temporal relationship between a change in tracking adherence and weight change. We found that for the same individual, weight loss is significantly higher during periods of high adherence to tracking vs. periods of low adherence: +2.74% of body weight lost per month (CI [2.68, 2.81]; p < .001) during adherent weight tracking, +1.35% per month (CI [1.26, 1.43]; p < .001) during adherent food tracking, and +0.60% per month (CI [0.44, 0.76]; p < .001) during adherent workout tracking. The findings suggest that adherence to activity tracking can be utilized as a convenient real-time predictor of weight fluctuations, enabling large-scale, personalized intervention strategies.

Dietary restraint: what's the harm? A review of the relationship between dietary restraint, weight trajectory and the development of eating pathology

Dietary restraint has historically been implicated as a risk factor for the development of eating pathology. Despite existing findings, recent research suggests that many individuals are capable of practicing dietary restraint without negative effects. In order to successfully incorporate the positive aspects of dietary restraint into interventions for healthy weight management, a nuanced examination of the relationship between dietary restraint and resulting eating patterns is necessary. Accordingly, the current review seeks to clarify the existing literature with regard to dietary restraint. First, this review examines the construct of dietary restraint and differentiates dietary restraint from related constructs, such as weight loss dieting. Second, it identifies situations in which dietary restraint has been linked with positive outcomes, such as healthy weight management and prevention of eating pathology. Altogether, it appears that dietary restraint can prove a beneficial strategy for those attempting to control their weight, as it does not relate to increased levels of eating pathology when practiced as part of a well-validated weight management programme.