[Skip to Navigation]
Sign In
Figure.  Study Flowchart
Study Flowchart

BMI indicates body mass index (calculated as weight in kilograms divided by height in meters squared).

Table.  Biomedical, Behavioral, and Quality of Life Outcomes
Biomedical, Behavioral, and Quality of Life Outcomes
1.
Kelishadi  R, Heidari-Beni  M.  Prevention and control of childhood obesity: the backbone in prevention of non communicable disease.   Adv Exp Med Biol. 2019;1121:61-66. doi:10.1007/978-3-030-10616-4_7PubMedGoogle ScholarCrossref
2.
Nobles  J, Griffiths  C, Pringle  A, Gately  P.  Design programmes to maximise participant engagement: a predictive study of programme and participant characteristics associated with engagement in paediatric weight management.   Int J Behav Nutr Phys Act. 2016;13(1):76. doi:10.1186/s12966-016-0399-1 PubMedGoogle ScholarCrossref
3.
Cull  BJ, Rosenkranz  SK, Dzewaltowski  DA, Teeman  CS, Knutson  CK, Rosenkranz  RR.  Wildcat wellness coaching feasibility trial: protocol for home-based health behavior mentoring in girls.   Pilot Feasibility Stud. 2016;2:26. doi:10.1186/s40814-016-0066-y PubMedGoogle ScholarCrossref
4.
Bandura  A.  Health promotion from the perspective of social cognitive theory.   Psychol Health. 1998;13(4):623-649. doi:10.1080/08870449808407422 Google ScholarCrossref
5.
Deci  EL, Ryan  RM.  Self-determination theory: a macrotheory of human motivation, development, and health.   Can Psychol. 2008;49(3):182-185. doi:10.1037/a0012801 Google ScholarCrossref
6.
Skelton  JA, Beech  BM.  Attrition in paediatric weight management: a review of the literature and new directions.   Obes Rev. 2011;12(5):e273-e281. doi:10.1111/j.1467-789X.2010.00803.x PubMedGoogle ScholarCrossref
Research Letter
Nutrition, Obesity, and Exercise
June 13, 2022

Home-Based Health Coaching for Girls With Overweight and Obesity: A Randomized Clinical Trial

Author Affiliations
  • 1Department of Food, Nutrition, Dietetics and Health, Kansas State University, Manhattan
  • 2Department of Health Promotion, University of Nebraska Medical Center, Omaha
JAMA Netw Open. 2022;5(6):e2216720. doi:10.1001/jamanetworkopen.2022.16720
Introduction

Behavior-change efforts that include physical activity and healthy eating can prevent or manage complications of obesity and many noncommunicable diseases.1 In some regions, girls lack adequate access to health information and services, and reaching girls through evidence-based interventions in key behavioral settings has been a challenge in pediatric weight management.2 To investigate the potential for a definitive home-based trial, this study tested the feasibility of participant recruitment, delivery, and rigorous evaluation for an innovative girls-only health coaching intervention model.

Methods

This randomized clinical trial was approved by Kansas State University’s institutional review board. Signed parental informed consent was obtained for all participants. The CONSORT reporting guideline was followed for reporting this trial.

In this parallel-group randomized feasibility trial conducted from 2012 to 2017, 42 girls with overweight or obesity (age range, 8-13 years) were recruited and randomly allocated (1:1 ratio) to home-based health coaching intervention conditions: 20 participants in health education (HE) and 22 participants in healthy eating and physical activity (HEPA) skills (see study protocol in Supplement 1). Full details of intervention and assessment methods are available elsewhere.3 Child race and ethnicity, as reported by the parent, were collected for sample description. Based on relevant behavioral theories,4,5 trained young adult female health coaches visited girls’ homes weekly to model healthful behaviors and deliver 60-minute coaching sessions for 12 consecutive weeks. Feasibility indicators consisted of recruitment and retention, clinical laboratory assessments, and records of intervention delivery fidelity. Clinical assessments included height, weight, waist circumference, body composition (via dual-energy X-ray absorptiometry using Lunar Prodigy, GE Healthcare), blood pressure (HEM-907XL monitor, Omron Healthcare), physical activity (Actical accelerometer, Philips), self-reported dietary intake (Children’s Dietary Questionnaire), and quality of life (Pediatric Quality of Life Inventory version 4.0). Assessments were made prerandomization at baseline, postintervention (ie, 3 months postbaseline), and at follow-up (ie, 6 months postbaseline). SPSS statistical software version 27 (IBM) was used for statistical analysis in January 2022 to derive frequencies, means, SEs, and Cohen d. The Figure portrays the flow of participants throughout the study.

Results

The trial was set to end after a sample size of 40 girls was achieved, requiring 4 waves of recruitment and intervention delivery (2013-2016), although a total of 42 girls were recruited. Participating girls (mean [SD] age, 10.6 [1.5] years; 2% Hispanic, 5% non-Hispanic Black or African American, 67% non-Hispanic White, 26% multiple races or ethnicities; 31% low-income households) came from mostly highly educated households (76% with maternal college degree). Girls received 97% of scheduled health coaching sessions (mean [SD], 11.7 [0.93] sessions) in their home settings, and fidelity data showed that 100% of primary and secondary session activities occurred as planned. Across 6 months of assessments, 32 participants were retained with complete data for all measures. Participants and parents reported high satisfaction with interventions; no adverse effects were reported.

The Table displays data from 3 time points by intervention condition. Effect size estimates revealed decreases in body fat percentage for both groups during the intervention period (HE: −0.48; HEPA: −0.17), with substantial attenuation of those decreases by time point 3 (HE: −0.07; HEPA: −0.04). Body mass index z scores also decreased during intervention as shown by effect sizes (HE: −0.35; HEPA: −0.58), and changes were maintained at time point 3 in the HEPA group (−0.78). Effect sizes for physical activity and fruit and vegetable consumption indicated small to moderate behavioral changes in the desired direction, most notably for the HEPA group. Quality of life, however, featured the largest effect sizes among all measures, with moderate to large improvements at time point 2 (HE: 0.37; HEPA: 0.65) that remained at time 3 (HE: 0.76; HEPA: 0.90).

Discussion

This randomized clinical trial evaluated the feasibility of participant recruitment, intervention delivery, and rigorous evaluation for 2 home-based health coaching interventions for pediatric weight management. Results showed that girls and parents could be recruited for participation and that trained health coaches could deliver theory-based health coaching weight-management interventions in home-based settings that were convenient and satisfactory to participants. Unknown generalizability and attrition pose limitations, but this may be less so than in other published trials.6 Study results suggest that proceeding to a fully powered randomized clinical trial using a standard-care control group may be warranted.

Back to top
Article Information

Accepted for Publication: April 25, 2022.

Published: June 13, 2022. doi:10.1001/jamanetworkopen.2022.16720

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Rosenkranz RR et al. JAMA Network Open.

Corresponding Author: Richard R. Rosenkranz, PhD, Department of Food, Nutrition, Dietetics and Health, Kansas State University, 1324 Lovers Lane, Kansas State University, Manhattan, KS 66506 (icardo@ksu.edu).

Author Contributions: Dr R. R. Rosenkranz had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: All authors.

Acquisition, analysis, or interpretation of data: R. R. Rosenkranz, Cull, Dzewaltowski.

Drafting of the manuscript: R. R. Rosenkranz, Dzewaltowski.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: R. R. Rosenkranz, Cull.

Obtained funding: R. R. Rosenkranz.

Administrative, technical, or material support: Cull, S. K. Rosenkranz, Dzewaltowski.

Supervision: R. R. Rosenkranz.

Conflict of Interest Disclosures: None reported.

Trial Registration: ClinicalTrials.gov Identifier: NCT01845480

Data Sharing Statement: See Supplement 2.

References
1.
Kelishadi  R, Heidari-Beni  M.  Prevention and control of childhood obesity: the backbone in prevention of non communicable disease.   Adv Exp Med Biol. 2019;1121:61-66. doi:10.1007/978-3-030-10616-4_7PubMedGoogle ScholarCrossref
2.
Nobles  J, Griffiths  C, Pringle  A, Gately  P.  Design programmes to maximise participant engagement: a predictive study of programme and participant characteristics associated with engagement in paediatric weight management.   Int J Behav Nutr Phys Act. 2016;13(1):76. doi:10.1186/s12966-016-0399-1 PubMedGoogle ScholarCrossref
3.
Cull  BJ, Rosenkranz  SK, Dzewaltowski  DA, Teeman  CS, Knutson  CK, Rosenkranz  RR.  Wildcat wellness coaching feasibility trial: protocol for home-based health behavior mentoring in girls.   Pilot Feasibility Stud. 2016;2:26. doi:10.1186/s40814-016-0066-y PubMedGoogle ScholarCrossref
4.
Bandura  A.  Health promotion from the perspective of social cognitive theory.   Psychol Health. 1998;13(4):623-649. doi:10.1080/08870449808407422 Google ScholarCrossref
5.
Deci  EL, Ryan  RM.  Self-determination theory: a macrotheory of human motivation, development, and health.   Can Psychol. 2008;49(3):182-185. doi:10.1037/a0012801 Google ScholarCrossref
6.
Skelton  JA, Beech  BM.  Attrition in paediatric weight management: a review of the literature and new directions.   Obes Rev. 2011;12(5):e273-e281. doi:10.1111/j.1467-789X.2010.00803.x PubMedGoogle ScholarCrossref
×