Wenhua Lu1, E Lisako J McKyer2, Chanam Lee3, Suojin Wang4, Patricia Goodson2, Marcia G Ory5. 1. Department of Health & Kinesiology, Texas A&M University, College Station, TX, USA. wlu@hlkn.tamu.edu. 2. Department of Health & Kinesiology, Texas A&M University, College Station, TX, USA. 3. Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, College Station, TX, USA. 4. Department of Statistics, Texas A&M University, College Station, TX, USA. 5. Health Promotion & Community Health Sciences, Health Science Center, Texas A&M University, College Station, TX, USA.
Abstract
OBJECTIVE: To test a modified integrative model (IM) in explaining parents' intention toward active commuting to school (ACS) and children's ACS. METHODS: Parents of fourth graders (N = 857) completed a survey assessing factors associated with ACS. A modified IM was developed and tested using structural equation modeling. RESULTS: The IM demonstrated good model fit (RMSEA = .04, CFI = .97, TLI = .97). Perceived barriers, self-efficacy, and health beliefs/outcome evaluation predicted parents' intention directly and children's ACS indirectly, with self-efficacy as the strongest predictor. Intention, in turn, predicted children's ACS. Similar findings emerged in a replication using the urban subsample data. CONCLUSIONS: The IM may enable health behavior researchers to design effective interventions to promote ACS.
OBJECTIVE: To test a modified integrative model (IM) in explaining parents' intention toward active commuting to school (ACS) and children's ACS. METHODS: Parents of fourth graders (N = 857) completed a survey assessing factors associated with ACS. A modified IM was developed and tested using structural equation modeling. RESULTS: The IM demonstrated good model fit (RMSEA = .04, CFI = .97, TLI = .97). Perceived barriers, self-efficacy, and health beliefs/outcome evaluation predicted parents' intention directly and children's ACS indirectly, with self-efficacy as the strongest predictor. Intention, in turn, predicted children's ACS. Similar findings emerged in a replication using the urban subsample data. CONCLUSIONS: The IM may enable health behavior researchers to design effective interventions to promote ACS.
Authors: R Larouche; O L Sarmiento; S T Broyles; K D Denstel; T S Church; T V Barreira; J-P Chaput; M Fogelholm; G Hu; R Kuriyan; A Kurpad; E V Lambert; C Maher; J Maia; V Matsudo; T Olds; V Onywera; M Standage; M S Tremblay; C Tudor-Locke; P Zhao; P T Katzmarzyk Journal: Int J Obes Suppl Date: 2015-12-08
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Authors: María Jesús Aranda-Balboa; Palma Chillón; Romina Gisele Saucedo-Araujo; Javier Molina-García; Francisco Javier Huertas-Delgado Journal: Int J Environ Res Public Health Date: 2021-03-03 Impact factor: 3.390