Jane Park1, Sarah Woo2, Young-Su Ju3, Young-Gyun Seo4, Hyun-Jung Lim5, Yoon-Myung Kim6, Hye-Mi Noh7, Hye-Ja Lee8, Sang Ick Park9, Kyung Hee Park10. 1. Department of Social Welfare, College of Social Sciences, Seoul National University, Seoul, Republic of Korea. Electronic address: jlpark315@gmail.com. 2. Major in Biomedical Science, Department of Medical Sciences, College of Medicine, Hallym University, Gangwon-do, Republic of Korea. Electronic address: hjejcross@naver.com. 3. Department of Occupational Medicine, National Medical Center, Seoul, Republic of Korea. Electronic address: juyoungsu.zorro@gmail.com. 4. Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University, Gyeonggi-do, Republic of Korea. Electronic address: yg035@daum.net. 5. Department of Medical Nutrition, Kyung Hee University, Yongin, Republic of Korea. Electronic address: hjlim@khu.ac.kr. 6. University College, Yonsei University International Campus, Incheon, Republic of Korea. Electronic address: yoonkim@yonsei.ac.kr. 7. Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University, Gyeonggi-do, Republic of Korea. Electronic address: noham111@hanmail.net. 8. Center for Biomedical Sciences, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea. Electronic address: hyejalee@korea.kr. 9. Center for Biomedical Sciences, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea. Electronic address: sooin0108@korea.kr. 10. Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University, Gyeonggi-do, Republic of Korea. Electronic address: beloved920@gmail.com.
Abstract
BACKGROUND: Significant dropout rates remain a serious concern in pediatric weight control program, but few studies have identified predictors of dropout. AIMS: The objective of the study is to identify factors associated with dropout from a pediatric lifestyle modification weight control program at different phases. METHODS: Data on overweight and obese participants (n = 242) aged 11-18 years in the Intervention for Childhood and Adolescent Obesity via Activity and Nutrition (ICAAN) study were collected at baseline, 6-months, and 24-months through self-report and a laboratory test. Logistic regression analysis was performed for those who dropped out during the first 6-months, and multivariate generalized estimating equation analysis identified longitudinal factors associated with those who dropped out after 24 months. RESULTS: Lower family functioning (OR = 2.30, 95% CI [1.18-4.46]), exercise group (OR = 0.36, 95% CI [0.15-0.86]), lower initial attendance rate (OR = 6.09, 95% CI [2.94-12.6]), and non-self -referral pathways (OR = 2.35, 95% CI [1.05-5.27]) were significantly associated with 6-month dropouts. For late dropout, lower family functioning (OR = 1.71, 95% CI [1.06-2.77]) and lower initial attendance rates (OR = 2.06, 95% CI [1.12-3.81]) remained significant. CONCLUSION: Family function and initial attendance rate were associated with lower dropout rates. Developing a supportive family environment and focusing on the early-stage factors at the intervention's outset may reduce overall dropout rates in obesity prevention intervention.
BACKGROUND: Significant dropout rates remain a serious concern in pediatric weight control program, but few studies have identified predictors of dropout. AIMS: The objective of the study is to identify factors associated with dropout from a pediatric lifestyle modification weight control program at different phases. METHODS: Data on overweight and obeseparticipants (n = 242) aged 11-18 years in the Intervention for Childhood and Adolescent Obesity via Activity and Nutrition (ICAAN) study were collected at baseline, 6-months, and 24-months through self-report and a laboratory test. Logistic regression analysis was performed for those who dropped out during the first 6-months, and multivariate generalized estimating equation analysis identified longitudinal factors associated with those who dropped out after 24 months. RESULTS: Lower family functioning (OR = 2.30, 95% CI [1.18-4.46]), exercise group (OR = 0.36, 95% CI [0.15-0.86]), lower initial attendance rate (OR = 6.09, 95% CI [2.94-12.6]), and non-self -referral pathways (OR = 2.35, 95% CI [1.05-5.27]) were significantly associated with 6-month dropouts. For late dropout, lower family functioning (OR = 1.71, 95% CI [1.06-2.77]) and lower initial attendance rates (OR = 2.06, 95% CI [1.12-3.81]) remained significant. CONCLUSION: Family function and initial attendance rate were associated with lower dropout rates. Developing a supportive family environment and focusing on the early-stage factors at the intervention's outset may reduce overall dropout rates in obesity prevention intervention.
Authors: Anna Pia Delli Bovi; Giorgia Manco Cesari; Maria Chiara Rocco; Laura Di Michele; Ida Rimauro; Anna Lugiero; Silvia Mottola; Anna Giulia Elena De Anseris; Lucia Nazzaro; Grazia Massa; Pietro Vajro Journal: Nutrients Date: 2021-02-16 Impact factor: 5.717