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Distance as a Predictor of Treatment Attendance in a Family Based Pediatric Weight Management Program in Rural Areas
Author(s) -
Klitzman Page,
Armstrong Bridget,
Janicke David M.
Publication year - 2014
Publication title -
the journal of rural health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.439
H-Index - 57
eISSN - 1748-0361
pISSN - 0890-765X
DOI - 10.1111/jrh.12078
Subject(s) - attendance , psychological intervention , moderation , medicine , multilevel model , overweight , intervention (counseling) , marital status , gerontology , family medicine , demography , psychology , body mass index , environmental health , population , nursing , social psychology , pathology , machine learning , sociology , computer science , economics , economic growth
Purpose The primary aim of this study was to determine whether demographic variables and distance to treatment were significant predictors of treatment attendance in a family based healthy lifestyle intervention program held in rural counties. Methods Two hundred forty‐nine children aged 8‐12 who were overweight or obese and their parents participated in a 21‐session healthy lifestyle intervention. Measures were obtained at baseline, and attendance included the number of the first core 12 sessions attended. Hierarchical linear regression analyses were conducted to identify variables that significantly predicted treatment attendance, and exploratory moderation analyses were conducted to examine if demographic variables moderated effects of distance to treatment site predicting group attendance. Findings Results support significant inverse relationships between distance to treatment and treatment attendance. Additionally, parents’ marriage status significantly moderated the relationship between distance to treatment and treatment attendance. Conclusions These results expand the literature to a rural sample and indicate the importance of marital status for treatment attendance. Knowledge of these barriers to treatment provides information to tailor interventions to improve attendance in the future. Possible strategies include addressing cultural norms, providing resources to overcome time and travel barriers, and implementing e‐health interventions.