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Shreela Sharma, PhD RD LD, Department of Health and Human Performance, University of Houston, 4800 Calhoun, Houston, TX 77204, 713-743-4249, ssharma2@uh.edu, Deanna Hoelscher, PhD RD LD CNS, Michael & Susan Dell Center for Advancement of Healthy Living, University of Texas School of Public Health at Houston, 1200 Hermann Pressler, Houston, TX 77030, and Steve Kelder, PhD, The University of Texas School of Public Health, 7000 Fannin, UCT-2658, Houston, TX 77225.
Objectives: The purpose of this study was to identify the psychosocial and environmental predictors of calcium intake, physical activity and bone health in adolescent girls. Methods: A secondary data analysis using a cross-sectional and longitudinal study design was implemented to examine the associations of interest. Data from the Incorporating More Physical Activity and Calcium in Teens (IMPACT) study collected in 2001-2003 were utilized for the analyses. IMPACT was a 1 ½ year study designed to improve bone density in 718 middle-school girls in central Texas. Multilevel linear regression modeling was used to determine the psychosocial predictors of calcium intake, physical activity and bone health at baseline and follow up. Adjustment variables included BMI, lactose intolerance, ethnicity, menarche status, intervention and participation in 7th grade PE/athletics. Results: Multilevel regression analysis showed that self-efficacy towards eating calcium containing foods and knowledge of calcium content of foods were the strongest predictor of milligrams of calcium consumed per day (β= 7.02, p<0.0001, β= 1.19, p=0.0457 respectively). For glasses of milk drunk per day, both self-efficacy (β= 0.03, p<0.0001) and milk availability at home (β= 0.39, p<0.0001) were the strongest predictors. For physical activity, results showed that friend engagement in physical activity and participation in sports teams were the strongest predictors of mean minutes of physical activity per day (β= 5.82, p=0.0154, β=7.77, p=0.0002 respectively). Physical activity self-efficacy, friend engagement in physical activity and participation in sports teams were the strongest predictor of number of days of jumping activities per week (β= 0.02, p=0.0065, β= 0.30, p<0.0001, β= 0.15, p=0.0182 respectively). Regression analysis for baseline predicting follow-up showed that participation in sports teams, self-efficacy, outcome expectations and social support at baseline were significant predictors of physical activity at follow-up. Conclusion: Results of this study reinforce the relevance of addressing both, psychosocial and environmental factors when developing interventions to influence calcium intake, physical activity and improve bone health in adolescent girls.
Learning Objectives:
Keywords: Adolescents, Nutrition
Related Web page: www.sph.uth.tmc.edu/hnc/Impact/index.htm
Presenting author's disclosure statement:
Not Answered
The 134th Annual Meeting & Exposition (November 4-8, 2006) of APHA