Literature DB >> 21467595

Identifying combinations of risk and protective factors predicting physical activity change in high school students.

Genevieve Fridlund Dunton1, Audie A Atienza, James Tscherne, Daniel Rodriguez.   

Abstract

Research sought to identify combinations of risk and protective factors predicting change in physical activity (PA) over one year in high school students. Adolescents (N = 344; M = 15.7 years) participated in a longitudinal study with assessment of demographics, substance use/smoking exposure, height and weight, psychological factors, and PA in 10th and 11th grade. PA participation in 11th grade was greatest for adolescents who engaged in PA and had high sports competence (78%), and least for adolescents who did not engage in or enjoy PA (13%) in 10th grade. Identifying adolescent subgroups at risk for decreasing PA can inform the development of tailored interventions.

Mesh:

Year:  2011        PMID: 21467595     DOI: 10.1123/pes.23.1.106

Source DB:  PubMed          Journal:  Pediatr Exerc Sci        ISSN: 0899-8493            Impact factor:   2.333


  2 in total

1.  Characterizing user engagement with health app data: a data mining approach.

Authors:  Katrina J Serrano; Kisha I Coa; Mandi Yu; Dana L Wolff-Hughes; Audie A Atienza
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

2.  Mining Health App Data to Find More and Less Successful Weight Loss Subgroups.

Authors:  Katrina J Serrano; Mandi Yu; Kisha I Coa; Linda M Collins; Audie A Atienza
Journal:  J Med Internet Res       Date:  2016-06-14       Impact factor: 5.428

  2 in total

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