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

Initial weight loss and early intervention adherence predict long-term weight loss during the Promoting Successful Weight Loss in Primary Care in Louisiana lifestyle intervention

OBJECTIVE

This study tested whether initial weight change (WC), self-weighing, and adherence to the expected WC trajectory predict longer-term WC in an underserved primary-care population with obesity.

METHODS

Data from the intervention group (n = 452; 88% women; 74% Black; BMI 37.3 kg/m2 [SD: 4.6]) of the Promoting Successful Weight Loss in Primary Care in Louisiana trial were analyzed. Initial (2-, 4-, and 8-week) percentage WC was calculated from baseline clinic weights and daily at-home weights. Weights were considered adherent if they were on the expected WC trajectory (10% at 6 months with lower [7.5%] and upper [12.5%] bounds). Linear mixed-effects models tested whether initial WC and the number of daily and adherent weights predicted WC at 6, 12, and 24 months.

RESULTS

Percentage WC during the initial 2, 4, and 8 weeks predicted percentage WC at 6 (R2  = 0.15, R2  = 0.28, and R2  = 0.50), 12 (R2  = 0.11, R2  = 0.19, and R2  = 0.32), and 24 (R2  = 0.09, R2  = 0.11, and R2  = 0.16) months (all p < 0.01). Initial daily and adherent weights were significantly associated with WC as individual predictors, but they only marginally improved predictions beyond initial weight loss alone in multivariable models.

CONCLUSIONS

These results highlight the importance of initial WC for predicting long-term WC and show that self-weighing and adherence to the expected WC trajectory can improve WC prediction.

Association between weight control behaviors and diet quality among Brazilian adolescents and young adults: Health Survey of São Paulo with Focus on Nutrition, 2015

PURPOSE

Little is known about how behaviors to control weight are associated with diet quality among youth from low- and middle-income countries. The aim of this study was to examine associations between efforts to control weight (ECW) and diet quality among Brazilian adolescents and young adults.

METHODS

Data from 731 participants (17.89 ± 4.92 years, 51.1% female) of the 2015 Health Survey of São Paulo were used for this cross-sectional study. Dietary intake was assessed using a 24 h dietary recall and diet quality was calculated using the Brazilian Healthy Eating Index-Revised (BHEI-R). Participants reported their ECW, weight satisfaction, and socio-demographics. Descriptive statistics and linear regressions were calculated to investigate associations between ECW and diet quality.

RESULTS

Approximately 47.7% of participants were dissatisfied with their current weight, and 41.0% reported ECW. Reported strategies to control weight included increased physical activity, taking care of what they eat, and dieting (8.2, 3.1, and 2.5%, respectively). After adjusting for age, sex, race/ethnicity, and body mass index, reporting at least one ECW (ß = 0.08; 95% CI 0.02, 0.13), taking care of what to eat (ß = 0.15; 0.08, 0.22) and being satisfied with their weight (0.08; 0.02, 0.13) were all associated with a higher overall BHEI-R score.

CONCLUSION

Overall diet quality score showed a small increase in participants reporting ECW. Further studies should be conducted to provide strategies used by adolescents from low- and middle-income countries to control their weight. Thus, developing public health policies, and behavioral-change strategies.

LEVEL V

Cross-sectional descriptive study.

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.

Strategies to manage weight during the holiday season among US adults: A descriptive study from the National Weight Control Registry

BACKGROUND

Holidays are challenging for weight control and are consistently associated with weight gain. Managing holiday weight gain may be especially difficult for individuals with higher body weight or a history of overweight/obesity. The current study evaluated how individuals with a history of successful weight loss plan for the holiday season and how the use of weight control strategies was associated with weight change.

METHODS

A subgroup of participants in the National Weight Control Registry (NWCR) were asked to complete a survey before (November) and after the holidays (January). At pre-holiday, participants reported height, weight, and weight goals for the holiday season (lose, maintain, minimize gains, or gain), and selected the top three weight control strategies they planned to use (from a list of 18). Post-holiday, participants reported weight and how often (frequently, infrequently, or not at all) they used each of the 18 strategies throughout the holidays.

RESULTS

Individuals who completed both surveys were included in the analysis (n = 683; 69% female, 93% white, 54.6 years [SD: 13.2], 26.9 kg/m2 [SD: 5.5]). Pre-holiday, 64% of participants were currently trying to lose weight. Only 35% of the sample wanted to continue losing weight during the holiday season. The most common strategies individuals planned to use during the holiday season were evidence based (maintaining exercise, monitoring portions, tracking foods, and self-weighing). Participants gained 0.66 kg (SD: 1.85) from pre- to post-holiday and reported using an average of 12/18 strategies. A greater number of strategies were associated with less weight gain (F[1, 670] = 4.28, p = 0.04). Daily self-weighing (p = 0.03) and prioritizing food choices (p = 0.02) were individually associated with less weight gain.

DISCUSSION

Participants in the NWCR entered the holiday season with a variety of goals for their weight and used many different strategies to control their weight. Having a wider range of strategies may be helpful to navigate the challenges to weight control during the holidays.

A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study

BACKGROUND

Smartphone apps, fitness trackers, and online social networks have shown promise in weight management and physical activity interventions. However, there are knowledge gaps in identifying the most effective and engaging interventions and intervention features preferred by their users.

OBJECTIVE

This 6-month pilot study on a social networking mobile app connected to wireless weight and activity tracking devices has 2 main aims: to evaluate changes in BMI, weight, and physical activity levels in users from different BMI categories and to assess user perspectives on the intervention, particularly on social comparison and automated self-monitoring and feedback features.

METHODS

This was a mixed methods study involving a one-arm, pre-post quasi-experimental pilot with postintervention interviews and focus groups. Healthy young adults used a social networking mobile app intervention integrated with wireless tracking devices (a weight scale and a physical activity tracker) for 6 months. Quantitative results were analyzed separately for 2 groups-underweight-normal and overweight-obese BMI-using t tests and Wilcoxon sum rank, Wilcoxon signed rank, and chi-square tests. Weekly BMI change in participants was explored using linear mixed effects analysis. Interviews and focus groups were analyzed inductively using thematic analysis.

RESULTS

In total, 55 participants were recruited (mean age of 23.6, SD 4.6 years; 28 women) and 45 returned for the final session (n=45, 82% retention rate). There were no differences in BMI from baseline to postintervention (6 months) and between the 2 BMI groups. However, at 4 weeks, participants' BMI decreased by 0.34 kg/m² (P<.001), with a loss of 0.86 kg/m² in the overweight-obese group (P=.01). Participants in the overweight-obese group used the app significantly less compared with individuals in the underweight-normal BMI group, as they mentioned negative feelings and demotivation from social comparison, particularly from upward comparison with fitter people. Participants in the underweight-normal BMI group were avid users of the app's self-monitoring and feedback (P=.02) and social (P=.04) features compared with those in the overweight-obese group, and they significantly increased their daily step count over the 6-month study duration by an average of 2292 steps (95% CI 898-3370; P<.001). Most participants mentioned a desire for a more personalized intervention.

CONCLUSIONS

This study shows the effects of different interventions on participants from higher and lower BMI groups and different perspectives regarding the intervention, particularly with respect to its social features. Participants in the overweight-obese group did not sustain a short-term decrease in their BMI and mentioned negative emotions from app use, while participants in the underweight-normal BMI group used the app more frequently and significantly increased their daily step count. These differences highlight the importance of intervention personalization. Future research should explore the role of personalized features to help overcome personal barriers and better match individual preferences and needs.

Digital self-monitoring: Does adherence or association with outcomes differ by self-monitoring target?

OBJECTIVE

Digital self-monitoring of eating, physical activity, and weight is increasingly prescribed in behavioural weight loss programmes. This study determined if adherence rates or associations with outcomes differed according to self-monitoring target (ie, self-monitoring of eating versus physical activity versus weight).

METHODS

Participants in a 3-month, group-based weight loss programme were instructed to use an app to record food intake, wear a physical activity sensor, and use a wireless body weight scale. At post-treatment, weight loss was measured in clinic and moderate-to-vigorous physical activity (MVPA) was measured by research-grade accelerometer.

RESULTS

Adherence to self-monitoring decreased significantly over time for eating and weight but not physical activity. Overall, adherence to self-monitoring of weight was lower than that of eating or physical activity. Greater adherence to self-monitoring of eating, physical activity, and weight each predicted greater weight loss. Only greater adherence to self-monitoring of eating was associated with greater bouted minutes of MVPA.

CONCLUSIONS

Findings from this study suggest that self-monitoring should be considered a target-specific behaviour rather than a unitary construct when conceptualizing adherence and association with treatment outcomes.

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

Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial

BACKGROUND

Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes.

OBJECTIVE

This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement.

METHODS

GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m²) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires.

RESULTS

At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m². One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean -2.7 kg, 95% CI -3.9 to -1.5) and either the App-Only arm (-2.4 kg, -3.7 to -1.2; P=.78) or the Simultaneous arm (-2.8 kg, -4.0 to -1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms.

CONCLUSIONS

Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

The Transition into Young Adulthood: a Critical Period for Weight Control

PURPOSE OF REVIEW

Emerging adulthood (age 18-25) represents a critical period for weight control: rate of weight gain is greatest during these years and the prevalence of overweight and obesity is estimated to be at least 40% among emerging adults. Unique behavioral, psychosocial, and cognitive risk factors among this population must be specifically addressed within weight management programs. We review extant treatment approaches, including lessons learned from the nascent literature specifically targeting this population. Lastly, we provide suggestions to inform future work in this area.

RECENT FINDINGS

The EARLY consortium comprises seven clinical trials targeting weight control in young adults age 18-35. Though these studies encompass a broader age range, two of the trials enrolled large numbers of 18-25-year-olds. Results from these trials and other recent pilot trials provide a foundation for next steps with respect to developing weight management interventions for emerging adults. The design of targeted weight control approaches for emerging and young adults has contributed to improved outcomes for this high-risk population. However, suboptimal engagement and variability in response pose challenges. Identifying and intervening on individual-level behavioral and psychological variables may enhance the effects of these adapted treatments.

Project TEAMS (Talking about Eating, Activity, and Mutual Support): a randomized controlled trial of a theory-based weight loss program for couples

BACKGROUND

Obesity risk is shared between spouses, yet existing weight loss programs focus on individuals and not the marital dyad. Given the interdependence of weight in couples, weight management outcomes might be improved by targeting joint weight loss and the creation of an interpersonal milieu that supports long-term behavior change. According to Self-Determination Theory (SDT), greater autonomous self-regulation of behaviors, and subsequently better treatment outcomes, are observed in needs supportive environments in which personally meaningful choice is supported and criticism and control are minimized. Correlational analyses confirm these pathways in weight management, with needs support from one's spouse or partner emerging as a distinct predictor of weight loss success. Research is now needed to establish causal links and to develop and test weight loss interventions designed to facilitate the needs supportive behavior of spouses.

METHODS

Project TEAMS (Talking about Eating, Activity, and Mutual Support) is a randomized controlled trial testing a couples-based intervention, grounded in SDT, designed to change the social context of weight loss by training spouses to provide needs support for each other's eating and physical activity behavior. Sixty-four couples will be randomized to either 6 months of behavioral weight loss treatment informed by SDT (SDT-WL) or to 6 months of standard behavioral weight loss treatment (BWL). Couples will attend weekly sessions for 6 months and will be assessed at 0, 3, 6, and 12 months. By bolstering needs support, SDT-WL is predicted to increase autonomous self-regulation and perceived competence and produce greater weight loss and maintenance than standard behavioral treatment. Exploratory analyses will examine the SDT process model prediction that the influence of needs support on treatment outcomes will be mediated by autonomous self-regulation and perceived competence.

DISCUSSION

This study addresses the fundamental importance of interpersonal support in weight management by focusing on couples rather than individuals and using a rich theoretical framework to train spouses in supportive behaviors.

TRIAL REGISTRATION

Clinicaltrials.gov ; NCT02570009 .

Weight Loss Strategies Utilized in a Men's Weight Loss Intervention

Men are underrepresented in weight loss programs and little is currently known about the weight loss strategies men prefer. This study describes the weight loss strategies used by men during a men-only weight loss program. At baseline, 3 months, and 6 months, participants reported how frequently they used 45 weight loss strategies including strategies frequently recommended by the program (i.e., mentioned during every intervention contact; e.g., daily self-weighing), strategies occasionally recommended by the program (i.e., mentioned at least once during the program; e.g., reduce calories from beverages), and strategies not included in the program (e.g., increase daily steps). At baseline participants ( N = 107, 44.2 years, body mass index = 31.4 kg/m², 76.6% White) reported regularly using 7.3 ± 6.6 ( M ± SD) strategies. The intervention group increased the number of strategies used to 19.1 ± 8.3 at 3 months and 17.1 ± 8.4 at 6 months with no changes in the waitlist group. The intervention group reported increased use of most of the strategies frequently recommended by the program (4 of 5), nearly half of the strategies occasionally recommended by the program (10 of 24), and one strategy not included in the program (of 16) at 6 months. The intervention effect at 6 months was significantly mediated by the number of strategies used at 3 months. This study adds to what is known about men's use of weight loss strategies prior to and during a formal weight loss program and will help future program developers create programs that are tailored to men.

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.

Objective Estimates of Physical Activity and Sedentary Time among Young Adults

Background. This study examines factors associated with physical activity (PA) and sedentary behaviors (SB) in young adults (18-35 years) and compares objective and subjective assessment measures of PA and SB. Methods. 595 young adults (27.7 ± 4.4 years; 25.5 ± 2.6 kg/m²) enrolled in the Study of Novel Approaches to Weight Gain Prevention (SNAP) trial. Hours/day spent in SB (<1.5 METs) and minutes/week spent in bout-related moderate-to-vigorous intensity PA (MVPA; ≥3 METs and ≥10 min) were assessed using self-report and objective measures. Demographic factors associated with SB and MVPA were also explored (i.e., age, gender, BMI, ethnicity, work and relationship status, and number of children). Results. Objective MVPA (263 ± 246 min/wk) was greater than self-report estimates (208 ± 198 min/wk; p < 0.001) and differed by 156 ± 198 min/wk at the individual level (i.e., the absolute difference). Females, overweight participants, African Americans, and those with children participated in the least amount of MVPA. Objective estimates of SB (9.1 ± 1.8 hr/day; 64.5% of wear time) were lower than subjective estimates (10.1 ± 3.5 hr/day; p < 0.001), differing by 2.6 ± 2.5 hr/day for each participant. Conclusion. Young adults interested in weight gain prevention engage in both high levels of MVPA and SB, with participants self-reporting fewer MVPA minutes and more SB compared to objective estimates. This study is registered at ClinicalTrials.gov (NCT01183689).

A comparison of MOVE! versus TeleMOVE programs for weight loss in Veterans with obesity

BACKGROUND

Obesity is a leading contributor to disability. Treatment approaches incorporating telehealth technologies are becoming increasingly popular in treating obesity, but their benefits relative to established behavioural weight loss therapies are poorly understood. The objective of this study was to compare a new telehealth treatment (TeleMOVE) to an established behavioural treatment (MOVE!) among Veterans with obesity.

METHODS

This was an observational study of Veterans in the TeleMOVE or MOVE! programs between October, 2011 and March, 2013. A total of 699 Veterans enrolled in these programs from 2011-2013. A secondary focus was on Veterans that were ≥90% adherent to their treatment. From this group, 72 (33.1%) TeleMOVE and 141 (29.3%) MOVE! participants met adherence criteria. The primary outcome criterion was changes in body weight.

RESULTS

Both programs were associated with significant weight reductions, with MOVE! participants showing significantly less weight loss relative to those in TeleMOVE (MOVE! mean weight loss=4.5[7.1]lb/2.0[3.2]kg; 1.8% mean weight loss; 12.0% achieving ≥5% weight loss; TeleMOVE mean weight loss=8.6[9.9]lb/3.9[4.5]kg; 3.6% mean weight loss; 26.6% achieving ≥5% weight loss, p's<.01). Among highly adherent participants, patients in TeleMOVE versus MOVE! lost significantly more weight (TeleMOVE=11.1[9.9]lb/5.0[4.5]kg versus MOVE!=5.7[7.1]lb/2.6[3.2]kg; t=4.6, p<.001) and were significantly more likely to achieve clinically significant weight loss (% with ≥5% weight loss were 43.1% versus 13.5%, respectively, p<.001).

CONCLUSIONS

In this observational study, TeleMOVE was at least as effective for weight loss as the more established multidisciplinary MOVE!

PROGRAM

Overeat today, skip the scale tomorrow: An examination of caloric intake predicting nonadherence to daily self-weighing

OBJECTIVE

Daily self-weighing is an effective weight loss strategy. Little is known about "micro" factors influencing nonadherence to self-weighing (e.g., daily overeating). It was hypothesized that increased caloric intake on a given day would increase odds of not self-weighing the following day.

METHODS

Daily self-reports of weight and caloric intake were collected from 74 adults with overweight and obesity (mean BMI = 31.2 ± 4.5 kg/m² , age = 50.6 ± 10 years, 69% female, 87% Caucasian) throughout a 12-week Internet-based weight management intervention. Multilevel logistic regression investigated odds of nonadherence to self-weighing on a given day based on the previous day's caloric intake.

RESULTS

Self-monitoring adherence was high (weights: 87%; calories: 85%); adherence was associated with greater 12-week weight loss (weighing: r = -0.24, P = 0.04; calories: r = -0.26, P = 0.04). Increased caloric intake on a given day, relative to the individual's average intake, was associated with increased odds of nonadherence to self-weighing the next day (F_(1,5106)  = 12.66, P = 0.0004, β = 0.001). For example, following a day of eating 300 calories more than usual, odds of not self-weighing increased by 1.33.

CONCLUSIONS

Odds of nonadherence to self-weighing increased following a day with higher-than-usual caloric intake. Weight management interventions collecting daily self-monitoring data could provide support to participants who report increased caloric intake to prevent self-weighing nonadherence.

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.

Patterns of self-weighing behavior and weight change in a weight loss trial

BACKGROUND/OBJECTIVES

Regular self-weighing has been associated with weight loss and maintenance in adults enrolled in a behavioral weight loss intervention; however, few studies have examined the patterns of adherence to a self-weighing protocol. The study aims were to (1) identify patterns of self-weighing behavior; and (2) examine adherence to energy intake and step goals and weight change by self-weighing patterns.

SUBJECTS/METHODS

This was a secondary analysis of self-monitoring and assessment weight data from a 12-month behavioral weight loss intervention study. Each participant was given a scale that was Wi-Fi-enabled and transmitted the date-stamped weight data to a central server. Group-based trajectory modeling was used to identify distinct classes of trajectories based on the number of days participants self-weighed over 51 weeks.

RESULTS

The sample (N=148) was 90.5% female, 81.1% non-Hispanic white, with a mean (s.d.) age of 51.3 (10.1) years, had completed an average of 16.4 (2.8) years of education and had mean body mass index of 34.1 (4.6) kg m(-2). Three patterns of self-weighing were identified: high/consistent (n=111, 75.0% self-weighed over 6 days per week regularly); moderate/declined (n=24, 16.2% declined from 4-5 to 2 days per week gradually); and minimal/declined (n=13, 8.8% declined from 5-6 to 0 days per week after week 33). The high/consistent group achieved greater weight loss than either the moderate/declined and minimal/declined groups at 6 months (-10.19%±5.78%, -5.45%±4.73% and -2.00%±4.58%) and 12 months (-9.90%±8.16%, -5.62%±6.28% and 0.65%±3.58%), respectively (P<0.001). The high/consistent group had a greater mean number days per week of adherence to calorie intake goal or step goal but not higher than the moderate/declined group.

CONCLUSIONS

This is the first study to reveal distinct temporal patterns of self-weighing behavior. The majority of participants were able to sustain a habit of daily self-weighing with regular self-weighing leading to weight loss and maintenance as well as adherence to energy intake and step goals.

Young Adults' Attitudes and Perceptions of Obesity and Weight Management: Implications for Treatment Development

Young adults are underrepresented in standard behavioral weight loss trials, and evidence suggests that they differ from older adults on many weight-related constructs. The aim of this review is to explore young adults' attitudes toward obesity and weight management, with particular attention to those factors that may play a role in the development of future treatment efforts. Both intrapersonal and interpersonal considerations unique to young adulthood are assessed; in addition, we examine young adults' perceptions of specific weight-related behaviors such as dieting, physical activity, and self-weighing. Conclusions are consistent with other findings suggesting that weight management interventions should be adapted and designed specifically for this age group.

Frequency of self-weighing and weight loss outcomes within a brief lifestyle intervention targeting emerging adults

Background

Frequent self‐weighing is associated with better weight loss and maintenance among adults. Emerging adults ages 18–25 rarely enroll in behavioural weight loss trials, and thus, little is known about their willingness to engage in frequent self‐weighing and its association with weight loss in this age group.

Purpose

The purpose of this study is to examine the frequency of self‐weighing among 18–25‐year‐old over the course of a brief lifestyle intervention and to determine the association between frequent self‐weighing and weight loss.

Methods

Emerging adults (EA) ages 18–25 [N = 52, 54% racial/ethnic minority, 79% female, BMI = 34.2 (5.4)] enrolled in a 3‐month lifestyle intervention with structure and content modified for EA. Benefits of frequent self‐weighing were presented; participants were encouraged to weigh themselves at least weekly and no more than daily. Assessments occurred at baseline and post‐treatment (3 months).

Results

At baseline, a majority of participants (63.5%) reported self‐weighing less than once a week. Frequency of self‐weighing increased over treatment (p < 0.001), with 42.9% weighing weekly and 38.2% weighing several times per week or more (i.e. frequent self‐weighing) at 3 months. Frequent self‐weighing was associated with greater weight loss (p = 0.03) and greater likelihood of achieving 5% weight loss (p = 0.01) at post‐treatment.

Conclusions

Frequent self‐weighing may be a viable approach to promoting self‐regulation during the high‐risk developmental period of emerging adulthood. Consistent with findings among other adult samples, frequent self‐weighing was associated with greater weight losses.