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Health trajectories of children with severe obesity attending a weight management program.

ABSTRACT: Purpose:The objective of the present study is to examine physical and mental health trajectories of change in youth with severe obesity attending a tertiary care weight management program. It was predicted that younger children would show favourable changes in body mass index (BMI), markers of cardiovascular health, quality of life, and mental health. Methods:This 2-year longitudinal study examined health trajectories of children referred to a weight management program at a Canadian paediatric tertiary care centre from November 2010 to December 2013. Participants were 209 of 217 consecutive referred paediatric patients (families) aged 3 to 17 years who met criteria for severe obesity and consented to participate. To maximize generalizability of results, there were no exclusion criteria. Primary outcomes were children's quality of life and BMI. Secondary outcomes included anxiety, depression, and non-high-density lipoprotein cholesterol levels. Results:The findings suggest an improvement in mental health, quality of life, and cardiometabolic health of children and adolescents of all ages over the 2 years of programming. These positive findings were consistent across gender, age, and distance to the program. BMI trajectory changes varied across age cohorts such that younger children showed more favourable outcomes. The retention rate over the 2 years was high at 82.9%. Conclusions:This is the first study to show improvements in both physical and mental health outcomes beyond 1 year in a tertiary care setting with a high-risk population of children and youth with severe obesity. Findings highlight the need to examine both mental and physical health outcomes beyond 1 year.

SUBMITTER: Buchholz A

PROVIDER: S-EPMC7606165 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Health trajectories of children with severe obesity attending a weight management program.

Buchholz Annick A Howard Andrea L AL Baldwin Katherine K Hammond Nicole G NG Mohipp Charmaine C Rutherford Jane J Kazoun Fatima F Clark Laurie L Adamo Kristi K Goldfield Gary G Hadjiyannakis Stasia S

Paediatrics & child health 20190712 7

<h4>Purpose</h4>The objective of the present study is to examine physical and mental health trajectories of change in youth with severe obesity attending a tertiary care weight management program. It was predicted that younger children would show favourable changes in body mass index (BMI), markers of cardiovascular health, quality of life, and mental health.<h4>Methods</h4>This 2-year longitudinal study examined health trajectories of children referred to a weight management program at a Canadi ...[more]

PMID: 33173555

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Project description:BackgroundIn obesity management, whether patients lose ≥5% of their initial weight is a critical factor in clinical outcomes. However, evaluations that take only this approach are unable to identify and distinguish between individuals whose weight changes vary and those who steadily lose weight. Evaluation of weight loss considering the volatility of weight changes through a mobile-based intervention for obesity can facilitate understanding of an individual's behavior and weight changes from a longitudinal perspective.ObjectiveThe aim of this study is to use a machine learning approach to examine weight loss trajectories and explore factors related to behavioral and app use characteristics that induce weight loss.MethodsWe used the lifelog data of 13,140 individuals enrolled in a 16-week obesity management program on the health care app Noom in the United States from August 8, 2013, to August 8, 2019. We performed k-means clustering with dynamic time warping to cluster the weight loss time series and inspected the quality of clusters with the total sum of distance within the clusters. To identify use factors determining clustering assignment, we longitudinally compared weekly use statistics with effect size on a weekly basis.ResultsThe initial average BMI value for the participants was 33.6 (SD 5.9) kg/m2, and it ultimately reached 31.6 (SD 5.7) kg/m2. Using the weight log data, we identified five clusters: cluster 1 (sharp decrease) showed the highest proportion of participants who reduced their weight by >5% (7296/11,295, 64.59%), followed by cluster 2 (moderate decrease). In each comparison between clusters 1 and 3 (yo-yo) and clusters 2 and 3, although the effect size of the difference in average meal record adherence and average weight record adherence was not significant in the first week, it peaked within the initial 8 weeks (Cohen d>0.35) and decreased after that.ConclusionsUsing a machine learning approach and clustering shape-based time series similarities, we identified 5 weight loss trajectories in a mobile weight management app. Overall adherence and early adherence related to self-monitoring emerged as potential predictors of these trajectories.

Project description:ImportanceOnline programs may help with weight loss but have not been widely implemented in routine primary care.ObjectiveTo compare the effectiveness of a combined intervention, including an online weight management program plus population health management, with the online program only and with usual care.Design, setting, and participantsCluster randomized trial with enrollment from July 19, 2016, through August 10, 2017, at 15 primary care practices in the US. Eligible participants had a scheduled primary care visit and were aged 20 to 70 years, had a body mass index between 27 and less than 40, and had a diagnosis of hypertension or type 2 diabetes. Follow-up ended on May 8, 2019.InterventionsParticipants in the usual care group (n = 326) were mailed general information about weight management. Participants in the online program only group (n = 216) and the combined intervention group (n = 298) were registered for the online program. The participants in the combined intervention group also received weight-related population health management, which included additional support from nonclinical staff who monitored their progress in the online program and conducted periodic outreach.Main outcomes and measuresThe primary outcome was weight change at 12 months based on measured weights recorded in the electronic health record. Weight change at 18 months was a secondary outcome.ResultsAmong the 840 participants who enrolled (mean age, 59.3 years [SD, 8.6 years]; 60% female; 76.8% White), 732 (87.1%) had a recorded weight at 12 months and the missing weights for the remaining participants were imputed. There was a significant difference in weight change at 12 months by group with a mean weight change of -1.2 kg (95% CI, -2.1 to -0.3 kg) in the usual care group, -1.9 kg (95% CI, -2.6 to -1.1 kg) in the online program only group, and -3.1 kg (95% CI, -3.7 to -2.5 kg) in the combined intervention group (P < .001). The difference in weight change between the combined intervention group and the usual care group was -1.9 kg (97.5% CI, -2.9 to -0.9 kg; P < .001) and the difference between the combined intervention group and the online program only group was -1.2 kg (95% CI, -2.2 to -0.3 kg; P = .01). At 18 months, the mean weight change was -1.9 kg (95% CI, -2.8 to -1.0 kg) in the usual care group, -1.1 kg (95% CI, -2.0 to -0.3 kg) in the online program only group, and -2.8 kg (95% CI, -3.5 to -2.0 kg) in the combined intervention group (P < .001).Conclusions and relevanceAmong primary care patients with overweight or obesity and hypertension or type 2 diabetes, combining population health management with an online program resulted in a small but statistically significant greater weight loss at 12 months compared with usual care or the online program only. Further research is needed to understand the generalizability, scalability, and durability of these findings.Trial registrationClinicalTrials.gov Identifier: NCT02656693.

Project description:UnlabelledOver one-third of patients treated in the Veterans Health Administration (VHA) are obese. VHA introduced the MOVE! Weight Management Program for Veterans in 2006 to provide comprehensive weight management services. An evolving, periodic evaluation using the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance) has been conducted to gauge success and opportunities for improvement. Key metrics were identified in each RE-AIM dimension. Data were compiled over fiscal years (FY) 2006 through 2010 from a variety of sources including VHA administrative and clinical databases, electronic medical record reviews, and an annual, structured VHA facility self-report. REACH: Screening for obesity and offering weight management treatment to eligible patients increased from 66% to 95% over the past 3 years. MOVE! is currently provided at every VHA hospital facility and at over one-half of VHA community-based outpatient clinics. The percent of eligible patients who participate in at least one weight management visit has doubled since implementation began but has stabilized at 10 to 12%.EffectivenessAbout 18.6% of the 31,854 patients with available weight data who participated in at least two treatment visits between Jul 1, 2008 and Sep 30, 2009 had at least a 5% body weight loss by 6 months as did almost one-third of those who participated in more intense and sustained treatment. By contrast, only 12.5% of a comparison group of patients matched on age, gender, body mass index (BMI) class, and comorbidity status who were not treated with MOVE! had at least a 5% body weight loss. ADOPTION: The median full-time staff equivalent providing weight management services at each facility has increased over time and was 1.76 in FY 2010.ImplementationStaff from multiple disciplines typically provide MOVE!-related care although not all disciplines are involved with providing care at every facility. Group-based treatment has become increasingly utilized, and in FY 2010 it represented 72% of all MOVE!-related visits. Intensity of treatment has increased from an average of 3.6 visits per patient per year in FY 2007 to 4.6 in FY 2010, but more than half of patients have two visits or less. Almost all facilities now report the consistent use of key evidence-based behavioral strategies with patients. MAINTENANCE: While participation in MOVE! by patients continues to grow each year, facility self-reported program staffing and space/equipment challenges are potential barriers to long-term program maintenance. Evidence-based weight management treatment can be delivered at VHA medical centers and community-based outpatient clinics, but the REACH remains limited after several years of implementation. Intense and sustained treatment with MOVE! results in a modest positive impact on short-term weight loss outcomes, but a relatively small proportion of patients engage in this level of care. Increasing reach, improving effectiveness of care, and keeping patients engaged in treatment are areas for future policy, practice, and research.

Project description:BackgroundGenetic screening for youth with obesity in the absence of syndromic findings has not been part of obesity management. For children with early onset obesity, genetic screening is recommended for those having clinical features of genetic obesity syndromes (including hyperphagia).ObjectivesThe overarching goal of this work is to report the findings and experiences from one pediatric weight management program that implemented targeted sequencing analysis for genes known to cause rare genetic disorders of obesity.Subjects/methodsThis exploratory study evaluated youth tested over an 18-month period using a panel of 40-genes in the melanocortin 4 receptor pathway. Medical records were reviewed for demographic and visit information, including body mass index (BMI) percent of 95th percentile (%BMIp95) and two eating behaviors.ResultsOf 117 subjects: 51.3% were male; 53.8% Hispanic; mean age 10.2 years (SD 3.8); mean %BMIp95 157% (SD 29%). Most subjects were self- or caregiver-reported to have overeating to excess or binge eating (80.3%) and sneaking food or eating in secret (59.0%). Among analyzed genes, 72 subjects (61.5%) had at least one variant reported; 50 (42.7%) had a single variant reported; 22 (18.8%) had 2-4 variants reported; most variants were rare (<0.05% minor allele frequency [MAF]), and of uncertain significance; all variants were heterozygous. Nine subjects (7.7%) had a variant reported as PSCK1 "risk" or MC4R "likely pathogenic"; 39 (33.3%) had a Bardet-Biedl Syndrome (BBS) gene variant (4 with "pathogenic" or "likely pathogenic" variants). Therefore, 9 youth (7.7%) had gene variants previously identified as increasing risk for obesity and 4 youth (3.4%) had BBS carrier status.ConclusionsPanel testing identified rare variants of uncertain significance in most youth tested, and infrequently identified variants previously reported to increase the risk for obesity. Further research in larger cohorts is needed to understand how genetic variants influence the expression of non-syndromic obesity.

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Health trajectories of children with severe obesity attending a weight management program.

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Health trajectories of children with severe obesity attending a weight management program.

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