Perceptions of One's Neighborhood and Mammogram Use among a Sample of Low-Income Women at Risk for Human Immunodeficiency Virus and Sexually Transmitted Infections

Womens Health Issues. 2016 Mar-Apr;26(2):196-200. doi: 10.1016/j.whi.2015.08.005. Epub 2015 Sep 26.

Abstract

Background: Neighborhood disorder, signs of physical and social disorganization, has been related to a range of poor mental and physical health outcomes. Although individual factors have been widely associated with getting a mammogram, little is known about the impact of the neighborhood environment on a woman's decision to get a mammogram.

Methods: In a sample of women at risk for human immunodeficiency virus and sexually transmitted infections, we explored the role of perceptions of one's neighborhood on getting a mammogram. The study included two samples: women 40 to 49 years (n = 233) and women 50 years and older (n = 83). Data were collected from May 2006 through June 2008.

Results: Women age 50 years and older who lived in a neighborhood with disorder were 72% less likely to get a mammogram compared with women who lived in neighborhoods without disorder. There was no relationship for women age 40 to 49 years.

Conclusions: Interventions are needed to increase awareness and encourage women living in neighborhoods with disorder to get a mammogram. In addition to interventions to increase mammography, programs are needed to decrease neighborhood disorder. Increasing neighborhood cohesion, social control, and empowerment could integrate health promotion programs to both reduce disorder and increase health behaviors.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Female
  • Follow-Up Studies
  • HIV Infections / epidemiology
  • Health Behavior*
  • Humans
  • Mammography / psychology
  • Mammography / statistics & numerical data*
  • Mass Screening / psychology
  • Mass Screening / statistics & numerical data
  • Middle Aged
  • Patient Acceptance of Health Care / psychology*
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Perception
  • Poverty*
  • Residence Characteristics*
  • Sexually Transmitted Diseases / epidemiology
  • Socioeconomic Factors