A comparison of virtual and in person delivery of a full meal replacement program for obesity

Objective

Full meal replacement (FMR) Intensive Lifestyle Interventions (ILI) have been used for weight management. However, predictors of efficacy with these programs are less clear. The primary objective was to assess weight loss predictors in a community-based FMR ILI program. A secondary objective was to determine if weight loss was different between virtual and in person ILI.

Methods

This was a retrospective cohort study involving 234 patients who started the program between 1 January 2016 and 3 March 2021. In the 24-week program, patients spent 12 weeks on FMR and then transitioned back to food for the remainder, with weekly follow up with a physician and group sessions with a dietitian. Visits were in person prior to March 2020 and virtual afterward.

Results

Patients' average age was 47.5 years (SD = 12.0) and 73.5% were female. Average weight loss was 14.3% (SD = 6.2%). There was no significant difference in weight loss between virtual and in person programs. Patients on a Glucagon-like Peptide-1 Receptor Agonist prior lost less weight. Other significant associations between groups were baseline Hemoglobin A1C, classes attended, as well as the age since peak weight.

Conclusion

Weight loss from virtual ILI was not significantly different from person ILI. More research is needed to determine how to best stratify care as virtual or in person using FMR programs.

Predictors of successful weight loss in children treated at a community hospital-based tertiary care pediatric weight management program

Childhood obesity is a major public health concern. However, predictors of successful outcomes for patients treated at multidisciplinary community hospital-based pediatric weight management programs remain poorly understood. We conducted a retrospective analysis to evaluate 633 pediatric patients from ages 2 to 18 at a tertiary pediatric weight management program in 2018. Predictors were evaluated in univariate comparisons, and significant variables were included in a linear regression analysis to identify factors associated with improvements in body mass index relative to the age- and sex-specific 95th percentile body mass index (%BMIp95). We found that male sex and increased number of clinical visits were independently and significantly associated with reductions in %BMIp95. Baseline %BMIp95, age, preferred language, and insurance status were not significant predictors of outcomes. A total of 398 (63%) patients experienced a decrease in %BMIp95 from baseline to follow-up. One quarter (24.8%) of patients experienced a decrease in %BMIp95 of at least 5%, a threshold associated with cardiometabolic improvements. Further, we observed significant improvements in cholesterol, triglycerides, alanine aminotransferase, aspartate aminotransferase, HbA1c, and waist circumference. These findings support a potential need for sex- and gender-tailored care as well as the benefits of increased access to pediatric weight management programs.

Neutral Effect of Increased Dairy Product Intake, as Part of a Lifestyle Modification Program, on Cardiometabolic Health in Adolescent Girls With Overweight/Obesity: A Secondary Analysis From a Randomized Controlled Trial

Background: The presence of obesity and some cardiometabolic disease risk factors in childhood and adolescence track into adulthood. Intake of dairy products has been shown to be inversely related to adiposity and cardiometabolic variables in youth. However, limited research has examined cardiometabolic disease risk factors following increased dairy product consumption as part of a lifestyle modification intervention in youth with overweight/obesity. This secondary analysis aimed to determine whether 12 weeks of increased dairy consumption, as part of a lifestyle modification program, affects cardiometabolic variables in adolescent females (range: 10-18 years) with overweight/obesity (BMI > 85th centile). Methods: Participants were randomized into two groups: higher dairy intake (RDa; four servings/day [to reflect previous Canada's Food Guide recommendations]; n = 23) or low dairy intake (LDa; 0-2 servings/day; n = 23). Both RDa and LDa participated in a 12-week, eucaloric, lifestyle modification intervention consisting of exercise training, and nutritional counseling. Adiposity (percent body fat [%BF]), dietary intake, and measures of cardiometabolic health were measured pre- and post-intervention. Results: There were no significant changes over time within groups or differences over time between groups for triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL), TC/HDL ratio, low-density lipoprotein cholesterol (LDL), glucose, insulin, homeostatic model assessment of insulin resistance, adiponectin, and tumor necrosis factor alpha (TNF-α) (main effects of time and interactions, p > 0.05). Leptin decreased over the 12-week lifestyle intervention in both groups (main effect of time, p = 0.02). After combining the groups (n = 46), significant correlations were found between change in %BF and change in some cardiometabolic variables (HDL [r = -0.40], TC/HDL ratio [r = 0.42], LDL [r = 0.36], and TNF-α [r = 0.35], p < 0.05). After controlling for change in dairy product intake, the correlations were unchanged. Conclusion: Our findings demonstrate that increased dairy product consumption, as part of a lifestyle modification, weight management intervention, had a neutral effect on cardiometabolic disease risk factors in adolescent females with overweight/obesity. Change in dairy product intake did not influence the relationships between change in adiposity and change in cardiometabolic variables. Future research designed to primarily assess the effect of increased dairy product consumption on cardiometabolic disease risk factors in this population is warranted. Clinical Trial Registration: Clinicaltrials.gov; NCT#02581813.

Associations between effort, importance, and self-monitoring during and after a 12-week behavioural weight management program

Objective

Self‐monitoring of weight and caloric intake has been associated with improved weight loss and weight loss maintenance in behavioural weight loss programs; however, participants' adherence to self‐monitoring tends to decrease over time. To identify potential barriers to self‐monitoring adherence, the current study examined week‐to‐week associations between ratings of perceived effort, relative importance of weight loss goals, and adherence to self‐monitoring of weight and caloric intake during and after a behavioural weight loss programme.

Method

Participants were 74 adults with overweight and obesity enrolled in a 12‐week, Internet‐based weight loss programme followed by a 40‐week “maintenance” period during which no additional intervention was provided. Participants self‐reported adherence to self‐monitoring and completed ratings of effort and importance on a study website weekly throughout the study period (1 year).

Results

Longitudinal multilevel models demonstrated that higher ratings of effort were associated with fewer days of self‐monitoring of weight, β = −0.100, p < .0001, and caloric intake, β = −0.300, p < .0001. Conversely, higher ratings of importance were associated with more frequent self‐monitoring of weight, β = 0.360, p < .0001, and caloric intake, β = 0.742, p < .0001. Moreover, the magnitude of these associations were stronger during the maintenance period than during initial intervention, ps < .01.

Conclusions

Perceptions of effort and importance are both independently associated with adherence to self‐monitoring weight and caloric intake, and this effect appears to be stronger after the end of initial intervention. Future research should investigate whether tailoring intervention content based on these constructs can improve adherence to self‐monitoring.

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.

Parents' Willingness to Pay for Pediatric Weight Management Programs

OBJECTIVE

To examine parents' interest in continuing and willingness to pay (WTP) for 2 pediatric weight management programs following their participation.

METHODS

Participants were parents of 2- to 12-year-old children with body mass index ≥ 85th percentile who participated in the Connect for Health trial. One group received enhanced primary care (EPC) and the other received EPC plus individualized coaching (EPC+C). At 1 year, we assessed parents' self-reported WTP for a similar program and the maximum amount ($/month) they would pay. We used multivariable regression to examine differences in WTP and WTP amount by intervention arm and by individual and family-level factors.

RESULTS

Of 638 parents who completed the survey, 85% were interested in continuing and 38% of those parents were willing to pay (31% in the EPC group and 45% in the EPC+C group). The median amount parents were willing to pay was $25/month (interquartile range, $15-$50). In multivariable models, the EPC+C parents were more likely to endorse WTP than the EPC parents (odds ratio, 1.53; 95% confidence interval, 1.05-2.22). Parents of children with Hispanic/Latino versus white ethnicity and those reporting higher satisfaction with the program were also more likely to endorse WTP.

CONCLUSIONS

Most parents of children in a weight management program were interested in continuing it after it ended, but fewer were willing to pay out of pocket for it. A greater proportion of parents were willing to pay if the program included individualized health coaching.

Problem Video Gaming Among Children Enrolled in Tertiary Weight Management Programs

Prior studies show seven percent to nine percent of children demonstrate gaming behaviors that affect a child's ability to function (e.g., problem gaming), but none have examined the association between problem gaming and weight status. The objective of this study was to determine the prevalence of problem gaming among children enrolled in tertiary weight management programs. We administered a computer-based survey to a convenience sample of children aged 11-17 years enrolled in five geographically diverse pediatric weight management (PWM) programs in the COMPASS (Childhood Obesity Multi-Program Analysis and Study System) network. The survey included demographics, gaming characteristics, and a problem gaming assessment. The survey had 454 respondents representing a diverse cohort (53 percent females, 27 percent black, 24 percent Hispanic, 41 percent white) with mean age of 13.7 years. A total of 8.2 percent of respondents met criteria for problem gaming. Problem gamers were more likely to be white, male, play mature-rated games, and report daily play. Children in PWM programs reported problem gaming at the same rate as other pediatric populations. Screening for problem gaming provides an opportunity for pediatricians to address gaming behaviors that may affect the health of children with obesity who already are at risk for worsened health and quality of life.

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.

Cardiometabolic and Fitness Improvements in Obese Girls Who Either Gained or Lost Weight during Treatment

OBJECTIVE

To evaluate the quality of weight change (change in fat mass vs fat-free mass [FFM]), changes in cardiorespiratory fitness (CRF), and frequencies of metabolic risk factors in adolescent females with obesity who either lost or gained weight following lifestyle treatment.

STUDY DESIGN

Fifty-eight girls (mean age = 13.0 ± 1.6 years; 77% black; mean body mass index = 36.5 ± 4.5 kg/m(2)) completed a 6-month lifestyle intervention combining dietary and behavioral counseling with aerobic and resistance exercise training. We examined baseline to 6-month differences in weight (kg), body composition, CRF, and frequencies of metabolic risk factors between weight loss and weight gain groups.

RESULTS

In the weight loss group, body weight (-4.50 ± 3.53 kg, P < .001), fat mass (-4.50 ± 2.20 kg, P < .001), and body fat percentage (-2.97% ± 1.45%, P < .001) decreased, and FFM was unchanged at 6 months. In the weight gain group, body weight (4.50 ± 2.20 kg, P < .001), fat mass (1.52 ± 3.16 kg, P < .024), and FFM (2.99 ± 2.45 kg, P < .001) increased, and body fat percentage was unchanged. Both groups improved CRF (P < .05). Frequencies of metabolic risk factors were reduced across all participants after the 6-month treatment.

CONCLUSIONS

Participation in a weight management program might elicit health improvements in obese adolescent females who increase weight and fat mass, provided that FFM gains are sufficient to negate increases in body fat percentage.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT00167830.

Effectiveness of a cognitive behavioral weight management intervention in obese patients with psychotic disorders compared to patients with nonpsychotic disorders or no psychiatric disorders: results from a 12-month, real-world study

OBJECTIVE

Studies of behavioral weight loss intervention in patients with psychotic disorders are sparse, and its efficacy compared to other obese patients is unknown. Therefore, we compared the effect of a cognitive-behavioral weight loss intervention in obese subjects with psychotic disorders, other psychiatric diagnoses, and without psychiatric disorders.

METHODS

A 12-month naturalistic study of weekly group or individual cognitive-behavioral weight management in 222 consecutively enrolled obese patients (body mass index [BMI], 43.7 ± 9.6 kg/m2) with psychotic spectrum disorders (PSDs, n = 47), other psychiatric disorders (OPDs, n = 49), and no psychiatric disorder (NPD, n = 126).

RESULTS

Patients with PSD had greater treatment persistence (48.9%) and longer treatment duration (8.7 ± 4.4 months) than those with OPD (22.4% and 5.4 ± 4.3 months) and NPD (22.2% and 4.9 ± 4.7 months) (P < 0.01 for all; number needed to treat, 3). In last-observation-carried-forward analyses, patients with PSD had greater percent baseline weight loss at 12 months (5.1% ± 9.3%) than patients with OPD and with NPD (2.7% ± 5.5% and 2.4% ± 6.3%); greater percent BMI loss at 9 and 12 months than both groups (P < 0.05 for all) and greater BMI loss at 9 months (2.1 ± 3.5 kg/m2) and 12 months (2.3 ± 4.1 kg/m2) than NPD patients (1.1 ± 2.3 and 1.2 ± 2.4 kg/m2). Furthermore, weight loss of 5% or more occurred in 42.6% of patients with PSD versus 18.4% and 23.0% in OPD and NPD patients (P < 0.01 for all; numbers needed to treat, 5 and 6). The strongest weight loss predictor was treatment duration (β = 0.51-0.54; P < 0.001). Attrition was predicted by NPD (P = 0.001) and OPD group status (P = 0.036), lower proportion of group sessions (P = 0.002), higher depression (P = 0.028), and lower baseline BMI (P = 0.030).

CONCLUSIONS

Patients with PSD had greater weight loss than other obese patients. Nonadherence and depression should be targeted to enhance weight loss success.