Literature DB >> 31241204

Predicting physical activity among urban adolescent girls: A test of the health promotion model.

Vicki R Voskuil1, Lorraine B Robbins2, Steven J Pierce3.   

Abstract

The purpose of this study was to test hypothesized relationships of the health promotion model (HPM) as a means of predicting moderate-to-vigorous physical activity (MVPA) among urban, adolescent girls. A secondary analysis of baseline data from a group randomized controlled trial was conducted. The study involved eight urban schools in the Midwestern United States. The sample included girls (N = 517) in the 5th-8th grades. Data were collected on age, body mass index, pubertal status, enjoyment, self-efficacy, social support, options for physical activity (PA), and commitment to PA. MVPA was measured via accelerometers worn by the girls for 7 days. Structural equation modeling was used to analyze study aims. Mean age of the sample was 11.8 years (standard deviation [SD] = 1.0). Girls attained an average of 3.0 (SD = 1.2) minutes per hour of MVPA. Self-efficacy had a positive direct (β = .337; p < .001) and total effect (β = .310; p < .001) on MVPA. Social support and options for PA were not significant predictors of commitment to PA or MVPA. Commitment to PA had a negative but nonsignificant effect (β = -.056; p = .357) on MVPA. The model predicted 10.1% of the variance in MVPA with 9.6% of the variance predicted by self-efficacy. Limitations include lack of longitudinal analysis and inability to generalize the results to other populations such as boys. PA self-efficacy continues to emerge as a significant predictor of MVPA in the HPM. Continued theory testing is needed to better understand the correlates and determinants of PA among adolescent girls before designing theory-based interventions to promote PA.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  females; self-efficacy; structural equation modeling; theory

Mesh:

Year:  2019        PMID: 31241204      PMCID: PMC6713590          DOI: 10.1002/nur.21968

Source DB:  PubMed          Journal:  Res Nurs Health        ISSN: 0160-6891            Impact factor:   2.228


  85 in total

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Journal:  J Phys Act Health       Date:  2010-03

4.  Factorial validity and invariance of questionnaires measuring social-cognitive determinants of physical activity among adolescent girls.

Authors:  R W Motl; R K Dishman; S G Trost; R P Saunders; M Dowda; G Felton; D S Ward; R R Pate
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7.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

8.  Gender differences in the psychosocial and cognitive correlates of physical activity among Taiwanese adolescents: a structural equation modeling approach.

Authors:  Su-Yin Wu; Nola Pender; Samar Noureddine
Journal:  Int J Behav Med       Date:  2003

9.  Predictors for physical activity in adolescent girls using statistical shrinkage techniques for hierarchical longitudinal mixed effects models.

Authors:  Edward M Grant; Deborah Rohm Young; Tong Tong Wu
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

10.  Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status.

Authors:  Sander M Slootmaker; Albertine J Schuit; Marijke Jm Chinapaw; Jacob C Seidell; Willem van Mechelen
Journal:  Int J Behav Nutr Phys Act       Date:  2009-03-25       Impact factor: 6.457

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