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RESEARCH AND PRACTICE |
JoAnn Kuo and Deborah Rohm Young are with the Department of Kinesiology, University of Maryland, College Park. Carolyn C. Voorhees is with the Department of Public and Community Health, University of Maryland, College Park. Jennifer A. Haythornthwaite is with the Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medical Institutions, Baltimore, Md.
Correspondence: Requests for reprints should be sent to JoAnn Kuo, MPH, Department of Kinesiology, University of Maryland, 2351 Health and Human Performance Building, College Park, MD 20742-2611 (e-mail: jkuo1{at}umd.edu).
| ABSTRACT |
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We examined the association between various dimensions of the family environment, including family intimacy and involvement in activities, family support for physical activity, and neighborhood violence (perceived and objective) and physical activity among urban, predominantly African American, ninth-grade girls in Balti-more, Md. Greater family intimacy (P = .05) and support (P = .01), but not neighborhood violence, was associated with physical activity. Family factors, including family intimacy and support, are potential targets in physical activity interventions for urban high-school girls.
| INTRODUCTION |
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| METHODS |
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We used reliable and validated instruments to assess physical activity and environmental factors.812 After 7 days had passed, a physical activity recall was used to assess total daily energy expenditure, following the methodology of Sallis et al.8 Perceived threatened or actual violence in the past year was assessed using an exposure-to-violence subscale.9 Closeness and emotional sharing among family members were assessed using a family intimacy subscale.10 Family involvement in social and recreational activities11 and family support for exercise12 also were assessed using respective subscales.
We obtained the number of violent crimes (i.e., aggravated assault, murder, rape, and robbery) reported citywide in 2000 from the Vital Signs for Baltimore Neighborhoods Report and calculated the rate of violent crime per 1000 residents.13 Violent crime counts were obtained by occurrence within a community statistical area (defined as a neighborhood cluster created along boundaries of census tracts with similar demographics, income, and education). We used a girls home address to determine her community statistical area. Each community statistical area had an average of 4691 households. Because neighborhoods are more recognizable to community groups, police, and residents, this approach to measuring crime data may be more amenable to intervention.
Analyses indicated that physical activity and perceived neighborhood violence were skewed, so we performed regression analyses with and without logarithmically transformed data. Final analyses used the transformed physical activity variable and the original violence variable. We examined associations between physical activity and family environmental characteristics after we controlled for mothers education. The results were not affected after we controlled for which parent participants lived with and race/ethnicity; these variables were not included in the final models. We used similar models to compare the association of physical activity to perceived violence (model 1) and violent crime rate (model 2). We used a mixed models approach to construct models with girls nested within community statistical areas (SAS, version 9.1; SAS Institute Inc, Cary, NC).
| RESULTS |
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| DISCUSSION |
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Studies on violence and physical activity are inconsistent. Perception of neighborhood crime was associated with less adult physical activity,4,5 but objectively measured crime was associated with more adolescent physical activity.18 The neighborhood environment may influence adults and adolescents differently, possibly because environments outside the neighborhood are less accessible to adolescents.
It is not clear why neither perceived violence nor the objective violent crime rate predicted adolescent physical activity in this study. Perceived crime was expected to predict physical activity better than was objective crime because perceived crime reflects direct exposure to specific types of crime. Because community statistical areas are large, girls may not know about crimes that happened within their community statistical area if those crimes occurred too far from home. The objective crime measurement was made on the basis of reported crimes, which may have underestimated the actual number of crimes that were committed. The overall inactivity of the study population may explain why differences by crime were not detected.
This study had several limitations. Self-report measures could have been biased toward socially desirable responses and were subject to lack of recall. Interviewers used probes to improve girls recall of their activities, particularly those that were less vigorous in nature. Results may not be generalizable beyond a population of urban, predominantly African American girls.
Our results extend the adolescent physical activity literature and suggest an area for future investigation: the role of aspects of the family environment other than that of family social support, particularly family intimacy and involvement in activities, that also may influence physical activity. Future research should use crime data from smaller geographic levels (e.g., census tract) or weighted for distance from home. Other aspects of the neighborhood that contribute to safety, such as the presence of sidewalks or heavy traffic, may be important factors for adolescent physical activity level. Future research should continue to study additional aspects of the adolescent family and neighborhood environments as possible determinants of physical activity.
| Acknowledgments |
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Human Participant Protection
This study was approved by the internal review boards at Johns Hopkins University and the University of Maryland.
| Footnotes |
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Contributors
J. Kuo led the writing of the brief, performed the data analysis, interpreted the results, and collaborated on the study design. C.C. Voorhees participated in the writing of the brief and collaborated on the study design. J.A. Haythorn-thwaite helped obtain funding, assisted with interpretation of results, and participated in the writing of the brief. D. Rohm Young obtained funding, supervised the study, assisted with interpretation of results, participated in the writing of the brief, and collaborated on the study design.
Accepted for publication August 15, 2006.
| References |
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2. Kimm YS, Glynn NW, Kriska AM, et al. Decline in physical activity in black girls and white girls during adolescence. N Engl J Med. 2002;347:709715.
3. Sallis JF, Owen N. Ecological models of health behavior. In: Glanz K, Rimer BK, Lewis FM, eds. Health Behavior and Health Education: Theory, Research, and Practice. 3rd ed. San Francisco, Calif: Jossey-Bass; 2002:462484.
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