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  • Psychology and Behavior in Sport/Exercise x
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Diana Marina Camargo, Paula Camila Ramírez, Vanesa Quiroga, Paola Ríos, Rogério César Férmino and Olga L. Sarmiento

park use among both high- and low-poverty area populations. Nonetheless, no differences were found in observed park use by neighborhood poverty level. Leslie et al 13 found that residents of high-SES areas live in environments that promote park use, which positively contributes to their weekly amounts

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Maria Kosma, David Buchanan and Jan Hondzinski

exercise guidelines compared to 33.9% of older White women and 33.7% of older African American men. African Americans also have higher poverty rates ( Beckles & Truman, 2013 ; Housing Assistance Council, 2012 ; U.S. Department of Health and Human Services [USDHHS], Office of Disease Prevention and Health

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Samantha M. Ross, Ellen Smit, Joonkoo Yun, Kathleen Bogart, Bridget Hatfield and Samuel W. Logan

are precalculated for adolescent children (>10 y) only, based on child’s age and derived from parent-reported height and weight. Household characteristics included income level relative to the 2010 federal poverty level (FPL) of 0%–99%, 100%–199%, 200%–399%, or >400% FPL, highest parental education

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Elizabeth Lorenzo, Jacob Szeszulski, Michael Todd, Scherezade K. Mama and Rebecca E. Lee

.9 Age, mean (SD) 45.07 (9.47) 45.30 (9.39) 44.9 (9.55) .71 44.64 (9.48) 45.87 (9.44) .27 Abbreviations: AT, active transportation; FPL, federal poverty level; GED, general education diploma. Note: Boldface indicates significant. Table 2 Outcome Variables for Sample, and by AT Use and Race

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Xinling Xu, Orgul D. Ozturk, Margaret A. Turk and Suzanne W. McDermott

, race/ethnicity, marital status, poverty level, census region, health insurance status for the year from MEPS, education level, smoking status, and body mass index category. As having chronic conditions might affect the medical expenditures, we also included binary variables for chronic conditions

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Viviene A. Temple, Dawn L. Lefebvre, Stephanie C. Field, Jeff R. Crane, Beverly Smith and Patti-Jean Naylor

, 2005 ; Lloyd, Li, & Hertzman, 2010 ; Pinto Pereira, Li, & Power, 2014 ; World Health Organization, 2007 ). Disadvantage, as gauged by poverty and low socio-economic status, is a predictor of school literacy achievement ( Buckingham, Wheldall, & Beaman-Wheldall, 2013 ), physical health and well

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David A. White, Youngha Oh and Erik A. Willis

examiner. 24 Covariates Interviewer-administered questionnaires obtained the following covariates: age (y), sex, race (non-Hispanic white and other), poverty–income ratio, head of household education level (that is, high school or less, associate degree/some college, and college/graduate degree), and

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Morgan N. Clennin and Russell R. Pate

of households with low income, median household income, proportion of living below the federal poverty level, proportion of female headed households, and median value of all owner-occupied households. Principal component analysis was rerun with these selected variables. Final variable loading

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Melinda Forthofer, Sara Wilcox, Deborah Kinnard, Brent Hutto and Patricia A. Sharpe

the federal poverty level (23.2% vs 18.0%). Intervention Sumter County On The Move! is the result of integrating social cognitive 17 and social network 18 theories, empirical evidence, and formative research to develop a community-based program tailored to the social environments of target

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Nicole E. Nicksic, Meliha Salahuddin, Nancy F. Butte and Deanna M. Hoelscher

covariates were utilized in analyses based on prior research 6 , 10 , 11 , 31 : parent-reported child race/ethnicity, parent level of education, poverty-income ratio (PIR), marital status, child’s weight status, and parent PA. Child race/ethnicity was operationalized as non-Hispanic blacks, Hispanics, and