Small Changes and Lasting Effects (SCALE) Trial: the formation of a weight loss behavioral intervention using EVOLVE

Interval life events are an important determinant of heterogeneity in outcomes in a randomised trial: a novel, simple method of assessment

OBJECTIVE

Although life events are clearly important to health, most of the scientific focus has been on baseline life events that occur prior to a study. Life events that occur after enrolment, that is, interval life events, have had almost no attention. The aim of this analysis of data was to develop a method for measuring interval life events that could be used in clinical trials and other longitudinal studies.

DESIGN

Small Changes and Lasting Effects (SCALE) was a 12-month weight-loss randomised controlled trial (RCT). This was an analysis of the SCALE follow-up data.

SETTING

Healthcare networks, outpatient clinics and community churches in the South Bronx and Harlem areas of New York City.

PARTICIPANTS

Overweight black and Latino adults. This analysis focuses on the 330 of the 405 patients who had >4 weeks of follow-up with at least one perceived stress score (PSS).

INTERVENTION

The SCALE RCT was published elsewhere and involved positive affect and self-affirmation to increase behaviour change.

OUTCOME

5% weight loss.

FOLLOW-UP

Over 12 months, up to 27 follow-ups were conducted that evaluated interval life events, eating and physical activity behaviour, weight and perceived stress. During these follow-ups, participants were asked two open-ended questions to capture interval life events. The interval life events were qualitatively coded into categories. The interval life events categories were compared with interval monthly measures of perceived stress using the 4-item PSS scale.

RESULTS

During the interval follow-ups for the RCT, 70.6% of the 330 patients reported at least one interval life event, which occurred during a median of 15 follow-ups (95% CI: 5 to 24). The median number of interval events was 2 (95% CI: 0 to 8): 30.6% reported their own illness; 22%, death or bereavement; 21.8%, illness in the family and 13.1%, family conflicts. The mean perceived stress score (PSS-4) assessed over the year of follow-up was 3.2±2.7. Mean perceived stress (PSS-4) increased, especially for interval financial events, major conflict with a partner and unemployment, but by less for deaths, family illness and family conflict. Participants with the most interval life events had the greatest increase in interval perceived stress (p<0.0001). Of note, neither high baseline perceived stress (PSS-10 >20) nor baseline depression (Patient Health Questionnaire-9 >10) were associated with higher interval life events (p>0.05); but those with lower social support had more events. However, those with either depression or stress had higher interval stress responses. Most participants had neither baseline nor interval events, and the percentage with both was small so that baseline events did not predict subsequent perceived stress.

CONCLUSIONS

This method provides a straightforward method of assessing interval life events, by asking two open-ended questions, that can be coded in a simple categorical framework. Such events can affect outcomes in longitudinal studies and trials in part by increasing perceived stress. This framework moves beyond the events identified as important in the 1950s and recognises that specific life events may have significantly different life impacts in different individuals.

TRIAL REGISTERATION NUMBER

NCT01198990; Post-results.

A Pilot Feasibility Evaluation of a Heart Rate Variability Biofeedback App to Improve Self-Care in COVID-19 Healthcare Workers

COVID-19 exacerbated burnout and mental health concerns among the healthcare workforce. Due to high work stress, demanding schedules made attuned eating behaviors a particularly challenging aspect of self-care for healthcare workers. This study aimed to examine the feasibility and acceptability of a heart rate variability biofeedback (HRVB) mobile app for improving well-being among healthcare workers reporting elevated disordered eating during COVID-19. We conducted a mixed methods pre-mid-post single-arm pilot feasibility trial (ClinicalTrials.gov NCT04921228). Deductive content analysis of participants' commentary generated qualitative themes. Linear mixed models were used to examine changes in pre- mid- to post-assessment scores on well-being outcomes. We consented 28 healthcare workers (25/89% female; 23/82% Non-Hispanic White; 22/79% nurses) to use and evaluate an HRVB mobile app. Of these, 25/89% fully enrolled by attending the app and device training; 23/82% were engaged in all elements of the protocol. Thirteen (52%) completed at least 10 min of HRVB on two-thirds or more study days. Most participants (18/75%) reported being likely or extremely likely to continue HRVB. Common barriers to engagement were busy schedules, fatigue, and technology difficulties. However, participants felt that HRVB helped them relax and connect better to their body's signals and experiences. Results suggested preliminary evidence of efficacy for improving interoceptive sensibility, mindful self-care, body appreciation, intuitive eating, stress, resilience, and disordered eating. HRVB has potential as a low-cost adjunct tool for enhancing well-being in healthcare workers through positively connecting to the body, especially during times of increased stress when attuned eating behavior becomes difficult to uphold.

Recruitment and Retention Strategies for Underrepresented Populations and Adults With Arthritis in Behavioral Interventions: A Scoping Review

OBJECTIVE

To identify strategies used to recruit and retain underrepresented populations and populations with arthritis or fibromyalgia (FM) into behavioral programs targeting exercise, physical activity, or chronic disease self management.

METHODS

Five bibliographic databases were searched for articles published between January 2000 and May 2022. The search focused on strategies and best practices for recruiting and retaining underrepresented populations or populations with arthritis or FM into disease self-management or physical activity/exercise programs. Abstracts and full-text articles were screened for inclusion by 2 independent reviewers, and 2 reviewers extracted data from included articles.

RESULTS

Of the 2,800 articles, a total of 43 publications (31 interventions, 8 reviews, 4 qualitative/descriptive studies) met criteria and were included. The majority of studies focused on physical activity/exercise (n = 36) and targeted African American (n = 17), Hispanic (n = 9), or arthritis populations (n = 7). Recruitment strategies that were frequently used included having race- or community-matched team members, flyers and information sessions in areas frequented by the population, targeted emails/mailings, and word of mouth referrals. Retention strategies used included having race- or community-matched team members, incentives, being flexible, and facilitating attendance. Most studies used multiple recruitment and retention strategies.

CONCLUSION

This scoping review highlights the importance of a multifaceted recruitment and retention plan for underrepresented populations and populations with arthritis or FM in behavioral intervention programs targeting exercise, physical activity, or chronic disease self management. Additional research is needed to better understand the individual effects of different strategies and the costs associated with the various recruitment/retention methods in underrepresented populations and populations with arthritis.

Engaging Children to Support Parental Weight Loss: A Randomized Trial

Background. Despite evidence that social network members influence the eating behaviors of adults, no study to date has had the primary aim of examining children as support partners for parents in a weight loss intervention. Aim. To evaluate parent adherence with eating/exercise goals and weight loss in a 6-month study engaging children as support partners. Method. Adults with obesity (body mass index ≥ 30 kg/m², n = 102) and at least one child ≥12 years were randomized to a child support or control group. In the child support group, children enrolled with their parent and engaged in a supportive behavior 2 days/week. In the control group, there was no enrolled child support. Parents in both groups selected a healthy eating strategy and daily step goal. Results. There was no difference in weight loss between the child support and control groups (-5.97 vs. -5.42 lbs, p = .81). In the child support group, 30% of children did not engage in the study. The majority of parents whose children did not engage withdrew from the study. In secondary analyses, parent adherence with eating/exercise goals increased with the days of child support (p < .001). For all participants, low chaos in the home environment (p < .04) and increased parent adherence with follow-ups (p < .008) predicted weight loss. Conclusions. We found no treatment effect of child support on weight loss. Active child support of eating/exercise goals appeared to facilitate goal adherence, while anticipated but unrealized child support may have had iatrogenic consequences. Further investigation of family-focused weight loss interventions is warranted.

Protocol for a cluster-randomized controlled trial of a technology-assisted health coaching intervention for weight management in primary care: The GEM (goals for eating and moving) study

INTRODUCTION

Over one-third of American adults have obesity with increased risk of chronic disease. Primary care providers often do not counsel patients about weight management due to barriers such as lack of time and training. To address this problem, we developed a technology-assisted health coaching intervention called Goals for Eating and Moving (GEM) to facilitate obesity counseling within the patient-centered medical home (PCMH) model of primary care. The objective of this paper is to describe the rationale and design of a cluster-randomized controlled trial to test the GEM intervention when compared to Enhanced Usual Care (EUC).

METHOD

We have randomized 19 PCMH teams from two NYC healthcare systems (VA New York Harbor Healthcare System and Montefiore Medical Group practices) to either the GEM intervention or EUC. Eligible participants are English and Spanish-speaking primary care patients (ages 18-69 years) with obesity or who are overweight with comorbidity (e.g., arthritis, sleep apnea, hypertension). The GEM intervention consists of a tablet-delivered goal setting tool, a health coaching visit and twelve telephone calls for patients, and provider counseling training. Patients in the EUC arm receive health education materials. The primary outcome is mean weight loss at 1 year. Secondary outcomes include changes in waist circumference, diet, and physical activity. We will also examine the impact of GEM on obesity-related provider counseling competency and attitudes.

CONCLUSION

If GEM is found to be efficacious, it could provide a structured approach for improving weight management for diverse primary care patient populations with elevated cardiovascular disease risk.

Innovative approaches to weight loss in a high-risk population: The small changes and lasting effects (SCALE) trial

OBJECTIVE

To evaluate the efficacy of a small change behavioral weight loss intervention with or without a positive affect/self-affirmation (PA/SA) component on weight loss at 12 months.

METHODS

Black and Hispanic adults (N = 405) with body mass index 25-50 kg/m² selected one of ten small change eating strategies and a physical activity goal, randomly with/without PA/SA. Participants were followed by community health workers at set intervals (weekly in months 1-3; biweekly in months 4-9; once monthly in months 10-12).

RESULTS

There was no difference in weight loss at 12 months between participants in the small change approach alone (1.1%) versus the small change PA/SA intervention (1.2%). During treatment, 9% of participants lost at least 7% of their initial body weight. Participants who reported more interval life events had a lower likelihood of losing weight (P < 0.0001). However, those randomized to the small change PA/SA intervention gained less weight (+0.3% vs. 2.3% gain; P < 0.0001).

CONCLUSIONS

The small change PA/SA intervention did not lead to a significant difference in weight loss in comparison to the small change approach alone. It did, however, decrease the negative impact of psychosocial stressors on weight gain among participants with more interval life events.

Implementation Intention for Initiating Intuitive Eating and Active Embodiment in Obese Patients Using a Smartphone Application

This article describes a study protocol, which aims to explore and describe the feasibility of a mobile-phone application for initiating intuitive eating and intuitive exercising in patients who are following an ambulatory treatment for obesity. Intuitive eating refers to one's ability to make food choices based on one's awareness of his/her body's response. Intuitive exercising encourages people in finding enjoyable ways of being physically active. These two components will be trained using an implementation intention procedure, that is, behavioral plans that aim at creating a strong link between a specified situation and a response. We aim to recruit up to 80 overweight and obese patients over a period of 2 years. The smartphone application will be assessed on the basis of (i) data obtained through a 4-week use period, (ii) self-report measures taken before and after the use of the mobile application, and (iii) feedbacks from participants after the use of the mobile application. This pilot study will allow us to better understand the applicability of the use of mobile application within ambulatory treatment settings, and to adapt the design of the app necessary for building cross-sectional studies investigating its efficacy.

Weight Outcomes of Latino Adults and Children Participating in the Y Living Program, a Family-Focused Lifestyle Intervention, San Antonio, 2012-2013

Introduction

US Latinos have disproportionately higher rates of obesity and physical inactivity than the general US population, putting them at greater risk for chronic disease. This evaluation aimed to examine the impact of the Y Living Program (Y Living), a 12-week family-focused healthy lifestyle program, on the weight status of adult and child (aged ≥7 years) participants.

Methods

In this pretest–posttest evaluation, participants attended twice-weekly group education sessions and engaged in physical activity at least 3 times per week. Primary outcome measures were body mass index ([BMI], zBMI and BMI percentile for children), weight, waist circumference, and percentage body fat. Wilcoxon signed-rank tests and mixed effects models were used to evaluate pretest–posttest differences (ie, absolute change and relative change) for adults and children separately.

Results

BMI, weight, waist circumference, and percentage body fat improved significantly (both absolutely and relatively) among adults who completed the program (n = 180; all P ≤ .001). Conversely, child participants that completed the program (n = 72) showed no improvements. Intervention effects varied across subgroups. Among adults, women and participants who were obese at baseline had larger improvements than did children who were obese at baseline or who were in families that had an annual household income of $15,000 or more.

Conclusion

Significant improvements in weight were observed among adult participants but not children. This family-focused intervention has potential to prevent excess weight gain among high-risk Latino families.

Environmental influences on small eating behavior change to promote weight loss among Black and Hispanic populations

Small eating behavior changes are proposed as more feasible to achieve and maintain than larger changes used in traditional behavioral weight loss studies. However, it is unclear whether overweight Black and Hispanic adults in a low-income urban setting experience small changes as feasible and what might influence feasibility. Participants' experiences in a 12-week pilot weight loss intervention were explored qualitatively to determine the feasibility of making small eating behavior changes in this population. After the intervention (69% retention), semi-structured interviews with 46 men and women (mean age 51, 50% Non-Hispanic Black, 43% Hispanic) revealed that making small eating changes was a process shaped by participants' intrapersonal and interpersonal eating environments. Participants responded to intrapersonal and interpersonal eating environmental challenges by adapting small change strategies, navigating eating environments, and negotiating household eating practices. Findings highlight how even small eating behavior changes called for adaptation, navigation, and negotiation of complex eating environments in daily life. These findings were used to improve the trial that followed and underline the importance of feasibility studies to inform community trials. Findings also add to understanding of contextual challenges and the skills needed to implement small changes in a low income, ethnic minority population.

Social network characteristics associated with weight loss among black and hispanic adults

OBJECTIVE

To examine social network member characteristics associated with weight loss.

METHODS

A cross-sectional examination included egocentric network data from 245 Black and Hispanic adults with BMI ≥ 25 kg/m(2) enrolled in a small change weight loss study. The relationships between weight loss at 12 months and characteristics of helpful and harmful network members (relationship, contact frequency, living proximity, and body size) were examined.

RESULTS

There were 2,571 network members identified. Mean weight loss was -4.8 (±11.3) lbs. among participants with network help and no harm with eating goals vs. +3.4 (±7.8) lbs. among participants with network harm alone. In a multivariable regression model, greater weight loss was associated with help from a child with eating goals (P = 0.0002) and coworker help with physical activity (P = 0.01). Weight gain was associated with having network members with obesity living in the home (P = 0.048) and increased network size (P = 0.002).

CONCLUSIONS

There was greater weight loss among participants with support from children and coworkers. Weight gain was associated with harmful network behaviors and having network members with obesity in the home. Incorporating child and coworker support and evaluating network harm and the body size of network members should be considered in future weight loss interventions.

The Relationship between Social Network Body Size and the Body Size Norms of Black and Hispanic Adults

Objective

To examine the relationship between the body size norms of Black and Hispanic adults and the body sizes of their social network members.

Methods

Egocentric network data were examined for 245 adults recruited from 2012–2013 in New York City. A multivariable regression model was used to examine the relationship between participants' perception of normal body size and the body sizes of their network members adjusted for participant age, education, race/ethnicity and network size. Participants' body size norms were also examined stratified by the following characteristics of obese network members: frequency of contact, living proximity, relationship, and importance of relationship.

Results

Index participants were 89% female with mean body mass index 33.5 kg/m². There were 2571 network members identified (31% overweight, 10% obese). In the fully adjusted multivariable model, perception of normal body size increased as the number of network members with obesity increased (p < 0.01). Larger body size norms were associated with increased frequency of contact with obese network members (p = 0.04), and obese members living in the home (p = 0.049).

Conclusions

These findings support a relationship between the body size norms of Black and Hispanic adults and their social network body size.

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Participants reported a larger body size as normal as the number of social network members with obesity increased.

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Participants' perception of normal body size increased as frequency of contact with obese members increased.

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Participants with obese network members living in the home perceived a larger body size as normal.