Age differences in health effects of stressors and perceived control among urban African American women

J Urban Health. 2005 Mar;82(1):122-41. doi: 10.1093/jurban/jti014. Epub 2005 Feb 28.

Abstract

A conceptual model of the stress process has been useful in examining relationships among a variety of stressors, health status, and protective factors that modify the health-stress relationship. The model can contribute to an understanding of variations in health among people living in urban environments experiencing high degrees of stress. This study examines social contextual stressors in the neighborhood, health outcomes, and perceived control at multiple levels beyond the individual as a protective factor, among a random sample (N = 679) of predominantly low-income African American women who reside on Detroit's east side. Findings suggest that although stress has a consistently negative impact on health, perceived control may buffer against the deleterious effects of stress. The buffering role of perceived control, however, depends on age, the type of stressor examined, and the context or level at which perceived control is assessed (e.g., organizational, neighborhood, beyond the neighborhood). For young women, perceived control was found to be health protective. Among older women, perceived control in the face of stressors was inversely related to health. These findings suggest the need for health and social service programs and policy change strategies to both increase the actual influence and control of women living in low-income urban communities and to reduce the specific social contextual stressors they experience.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Black or African American / psychology*
  • Black or African American / statistics & numerical data
  • Female
  • Health Status
  • Health Surveys
  • Humans
  • Michigan
  • Middle Aged
  • Models, Psychological
  • Poverty
  • Psychometrics
  • Regression Analysis
  • Residence Characteristics*
  • Safety
  • Stress, Psychological / ethnology*
  • Stress, Psychological / psychology
  • Urban Health / statistics & numerical data*
  • Women's Health / ethnology*