Factors Associated with Physical Activity Among African-American Men and Women

Bopp, Melissa; Wilcox, Sara; Laken, Marilyn; Butler, Kimberly; Carter, Rickey E.; McClorin, Lottie; Yancey, Antronette K.

doi:10.1016/j.amepre.2005.11.007

Cited by 73 publications

(60 citation statements)

References 29 publications

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“…e presence of sidewalks and pedestrian pathways increases the potential number of trips (Kitamura et al 1997) and the likelihood of walking (Corti et al 1996;Hess et al 1997Hess et al , 1999Parsons Brinckerhoff Quade and Douglas 1993). e quality of a pedestrian environment is a strong predictor of walking behavior and travel (Cervero and Kockelman 1997), and the presence of sidewalks on the shortest route to a destination tends to increase the likelihood of travel on foot (Rodriguez and Joonwon 2003).…”

Section: Accessmentioning

confidence: 99%

Access to Public Transit and Its Influence on Ridership for Older Adults in Two U.S. Cities

Hess

2009

JTLU

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Growth in the population of older adults (age 60 and above) in coming years will challenge urban planners and transportation managers to provide travel options that support autonomy. To investigate barriers that older adults experience in using public transit, this research explores associations between older adults who do and do not ride xed-route public transit and their neighborhood walking access to buses and trains. e research tests whether or not the distance between a trip origin or destination and a transit stop or station is a signi cant factor in predicting frequency of transit ridership. Data from a survey of older adults in California and New York is used to regress older adults' frequency of riding public transit against explanatory variables, including demographic and socioeconomic variables, access and mobility measures, and neighborhood characteristics. Findings suggest that self-reported walking distance to transit has a statistically signi cant in uence-in San José, California, but not in Buffalo, New York-in predicting transit ridership frequency. Drivers are more sensitive to walking distance than nondrivers. Models estimate that in San José, each additional ve minutes in perceived walking time to transit decreases transit ridership frequency by ve percent for nondrivers and by 25 percent for drivers. Older adults are likely to ride transit more o en if they are male, nonwhite, and low income.

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Section: Accessmentioning

confidence: 99%

Access to Public Transit and Its Influence on Ridership for Older Adults in Two U.S. Cities

Hess

2009

JTLU

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“…One of the most interesting findings from the current study is that men and women who were not employed were at significantly higher odds of leisure inactivity; a finding seen in some developed countries (30)(31)(32) but not others (33,34) . In our study, those who were not employed were diverse (i.e.…”

Section: Discussionmentioning

confidence: 51%

“…Studies have noted the clustering of risk behaviours such as physical inactivity with low fruit and vegetable intake (30,35) which suggests that public health interventions might target both behavioural risk factors together. The association of higher BMI with transport inactivity in men suggests that the promotion of physically active transport (such as the provision of sidewalks in residential areas to improve access to neighbourhood mosques and grocery stores) could be considered a potential obesity prevention/management strategy.…”

Section: Discussionmentioning

confidence: 99%

Correlates of Omani adults’ physical inactivity and sitting time

Mabry

Winkler

Reeves

et al. 2012

Public Health Nutr.

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Objective: To inform public health approaches for chronic disease prevention, the present study identified sociodemographic, anthropometric and behavioural correlates of work, transport and leisure physical inactivity and sitting time among adults in Oman. Design: Cross-sectional study using the WHO STEPwise study methodology. Setting: Sur City, Oman. Subjects: Men and women aged 20 years and older (n 1335) in the Sur City Healthy Lifestyle Study who had complete data for demographic variables (gender, age, education, work status and marital status), BMI and behavioural risk factors -smoking and dietary habits plus physical inactivity and sitting time (the outcome variables). Results: The highest level of physical inactivity was in the leisure domain (55?4 %); median sitting time was about 2 h/d. Gender-stratified logistic regression models found that the statistically significant (P , 0?05) correlates of inactivity (in one or more domains) were age, work status and fruit and vegetable intake in women, and age, education, work status, marital status and BMI in men. Gender-stratified linear regression models found that the statistically significant correlates of sitting time were age, work status and BMI in women and education in men. Conclusions: Findings suggest that public health interventions need to be gender responsive and focus on domain-specific physical inactivity. In the Omani context, this might include gender-segregated exercise facilities to promote leisure physical activity among women and walking-friendly environmental initiatives to promote transport physical activity among men. Further evidence on barriers to physical activity and factors that influence prolonged sitting is required to develop relevant public health interventions.

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“…24 In addition, PA programs at church were a significant correlate of activity for African American women in a cross-sectional investigation. 25 Despite the fact that similar evidence is not yet available in children and adolescents, interventions such as Go Girls provide evidence that adolescent girls enjoy physical activity programs offered in religious settings 26 and could potentially be a targeted site for future intervention studies.…”

Section: Discussionmentioning

confidence: 99%

Examining the Role of Churches in Adolescent Girls’ Physical Activity

Pfeiffer

Colabianchi

Dowda

et al. 2011

Journal of Physical Activity and Health

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Background:In adults, associations between church attendance and positive health behaviors exist; however, similar evidence among children and youth is lacking. The purposes of this investigation were to examine the associations between physical activity (PA) and church attendance, PA and use of church as a PA facility, and PA and proximity to churches among those who use church as a PA facility (while addressing racial and geographical differences). Methods: High school girls (N = 915, age = 17.7 ± 0.6 years, 56% African American) completed the 3-Day Physical Activity Recall and surveys including demographics and use of PA facilities. Geographic Information Systems data were used to spatially examine the number of churches within a 0.75-mile street network buffer around girls' homes. Associations were examined using mixed model analyses controlling for demographic factors. Results: For the overall sample, total METs (56 versus 52) and proportion of girls meeting PA guidelines (62% vs. 52%) were significantly higher in church attendees versus nonattendees. Among participants who used facilities, having more churches close to home was associated with more PA. Conclusions: Church attendance and use are correlates of physical activity that should be further explored and addressed in future intervention research with adolescent girls.

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Factors Associated with Physical Activity Among African-American Men and Women

Cited by 73 publications

References 29 publications

Access to Public Transit and Its Influence on Ridership for Older Adults in Two U.S. Cities

Access to Public Transit and Its Influence on Ridership for Older Adults in Two U.S. Cities

Correlates of Omani adults’ physical inactivity and sitting time

Examining the Role of Churches in Adolescent Girls’ Physical Activity

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