Outcomes From a Sequential Multiple Assignment Randomized Trial of Weight Loss Strategies for African American Adolescents With Obesity.

BACKGROUND: Minority adolescents are at highest risk for obesity and extreme obesity; yet, there are few clinical trials targeting African American adolescents with obesity. PURPOSE: The purpose of the study was to develop an adaptive family-based behavioral obesity treatment for African American adolescents using a sequential multiple assignment randomized trial (SMART) design. METHODS: Fit Families was a SMART where 181 African American adolescents (67% female) aged 12-17 were first randomized to office-based versus home-based behavioral skills treatment delivered from a Motivational Interviewing foundation. After 3 months, nonresponders to first phase treatment were rerandomized to continued home-based behavioral skills treatment or contingency management with voucher-based reinforcement for adolescent weight loss and for caregiver adherence to the program. All interventions were delivered by community health workers. The primary outcome was treatment retention and percent overweight. RESULTS: All adolescents reduced percent overweight by -3.20%; there were no significant differences in percent overweight based on treatment sequence. Adolescents receiving home-based delivery in Phase 1 and contingency management in Phase 2 completed significantly more sessions than those receiving office-based treatment and continued skills without CM (M = 8.03, SD = 3.24 and M = 6.62, SD = 2.95, respectively). The effect of contingency management was strongest among older and those with lower baseline confidence. Younger adolescents experienced greater weight reductions when receiving continued skills (-4.90% compared with -.02%). CONCLUSIONS: Behavioral skills training can be successfully delivered to African American adolescents with obesity and their caregivers by community health workers when using a home-based service model with incentives. More potent interventions are needed to increase reductions in percent overweight and may need to be developmentally tailored for younger and older adolescents.

Effectiveness of Nutrition Intervention in a Selected Group of Overweight and Obese African-American Preschoolers.

High prevalence of childhood obesity persists as a public health concern in the USA. However, limited study has been conducted on the effectiveness of nutrition education focused on African-American (AA) preschoolers (PSLRs) in the preschool settings. The aim of this pilot study was to explore the effectiveness of nutrition education on AA PSLR's health. A convenience sample of 164 PSLRs (95% AA, 44% female) from six Head Start (HS) centers in a Midwestern metropolitan area was randomly assigned to 3 groups: intervention group A, standard curriculum plus nutrition education for PSLRs; intervention group B, standard curriculum plus nutrition education for PSLRs and their caregivers (CGs); and control group, standard curriculum. Baseline and post-intervention differences within each group and differences among the three groups in body mass index (BMI) percentiles, blood lipid profile, and food preference/knowledge were analyzed. No significant changes in BMI percentiles among the three groups were observed. When only overweight and obese PSLRs were considered, there was a significant reduction in BMI percentile in group B (PSLR + CG) and control group. More PSLRs in all three groups had blood lipid levels in the acceptable with few in the high-risk levels. There were no changes in nutrition knowledge and healthy eating behavior post-intervention. This pilot study supports including both PSLRs and CGs in future preschool-based interventions and the need for more intense intervention to optimize healthy outcomes, especially for those AA PSLRs who are overweight or obese.

Correction to: Effectiveness of Nutrition Intervention in a Selected Group of Overweight and Obese African-American Preschoolers.

Part of our original analyses was performed with overweight and obese preschoolers only. This procedure may have created a subgroup of individuals with extreme values at baseline and this may likely be inappropriate.

A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories.

This study examines the effectiveness of state-of-the-art supervised machine learning methods in conjunction with different feature types for the task of automatic annotation of fragments of clinical text based on codebooks with a large number of categories. We used a collection of motivational interview transcripts consisting of 11,353 utterances, which were manually annotated by two human coders as the gold standard, and experimented with state-of-art classifiers, including Naïve Bayes, J48 Decision Tree, Support Vector Machine (SVM), Random Forest (RF), AdaBoost, DiscLDA, Conditional Random Fields (CRF) and Convolutional Neural Network (CNN) in conjunction with lexical, contextual (label of the previous utterance) and semantic (distribution of words in the utterance across the Linguistic Inquiry and Word Count dictionaries) features. We found out that, when the number of classes is large, the performance of CNN and CRF is inferior to SVM. When only lexical features were used, interview transcripts were automatically annotated by SVM with the highest classification accuracy among all classifiers of 70.8%, 61% and 53.7% based on the codebooks consisting of 17, 20 and 41 codes, respectively. Using contextual and semantic features, as well as their combination, in addition to lexical ones, improved the accuracy of SVM for annotation of utterances in motivational interview transcripts with a codebook consisting of 17 classes to 71.5%, 74.2%, and 75.1%, respectively. Our results demonstrate the potential of using machine learning methods in conjunction with lexical, semantic and contextual features for automatic annotation of clinical interview transcripts with near-human accuracy.

Contingency management adapted for African-American adolescents with obesity enhances youth weight loss with caregiver participation: a multiple baseline pilot study.

BACKGROUND: Contingency management (CM) interventions, which use operant conditioning principles to encourage completion of target behavioral goals, may be useful for improving adherence to behavioral skills training (BST). Research-to-date has yet to explore CM for weight loss in minority adolescents. OBJECTIVE: To examine the effects of CM in improving adolescent weight loss when added to BST. DESIGN: The study utilized an innovative experimental design that builds upon multiple baseline approaches as recommended by the National Institutes of Health. PARTICIPANTS/SETTING: Six obese African-American youth and their primary caregivers living in Detroit, Michigan, USA. INTERVENTION: Adolescents received between 4 and 12 weeks of BST during a baseline period and subsequently received CM targeting weight loss. MAIN OUTCOME MEASURES: Youth weight. STATISTICAL ANALYSIS PERFORMED: Linear mixed effects modeling was used in the analysis. RESULTS: CM did not directly affect adolescent weight loss above that of BST (p=0.053). However, when caregivers were involved in CM session treatment, contingency management had a positive effect on adolescent weight loss. The estimated weight loss due to CM when caregivers also attended was 0.66 kg/week (p<0.001, [95% CI; -1.96, -0.97]) relative to the baseline trajectory. CONCLUSION: This study demonstrates application of a novel experimental approach to intervention development and demonstrated the importance of parent involvement when delivering contingency management for minority youth weight loss. Lessons learned from contingency management program implementation are also discussed in order to inform practice.

Recruitment strategies and the retention of obese urban racial/ethnic minority adolescents in clinical trials: the FIT families project, Michigan, 2010-2014.

INTRODUCTION: The successful recruitment and retention of participants is integral to the translation of research findings. We examined the recruitment and retention rates of racial/ethnic minority adolescents at a center involved in the National Institutes of Health Obesity Research for Behavioral Intervention Trials (ORBIT) initiative by the 3 recruitment strategies used: clinic, informatics, and community. METHODS: During the 9-month study, 186 family dyads, each composed of an obese African American adolescent and a caregiver, enrolled in a 6-month weight-loss intervention, a sequential multiple assignment randomized trial. We compared recruitment and retention rates by recruitment strategy and examined whether recruitment strategy was related to dyad baseline characteristics. RESULTS: Of the 186 enrolled families, 110 (59.1%) were recruited through clinics, 53 (28.5%) through informatics, and 23 (12.4%) through community. Of those recruited through community, 40.4% enrolled in the study, compared with 32.7% through clinics and 8.2% through informatics. Active refusal rate was 3%. Of the 1,036 families identified for the study, 402 passively refused to participate: 290 (45.1%) identified through informatics, 17 (29.8%) through community, and 95 (28.3%) through clinics. Recruitment strategy was not related to the age of the adolescent, adolescent comorbidities, body mass index of the adolescent or caregiver, income or education of the caregiver, or retention rates at 3 months, 7 months, or 9 months. Study retention rate was 87.8%. CONCLUSION: Using multiple recruitment strategies is beneficial when working with racial/ethnic minority adolescents, and each strategy can yield good retention. Research affiliated with health care systems would benefit from the continued specification, refinement, and dissemination of these strategies.