Health Disparities and the Digital Divide: The Relationship between Communication Inequalities and Quality of Life among Women in a Nationwide Prospective Cohort Study in the United States
- PMID: 31198091
- PMCID: PMC6620144
- DOI: 10.1080/10810730.2019.1630524
Health Disparities and the Digital Divide: The Relationship between Communication Inequalities and Quality of Life among Women in a Nationwide Prospective Cohort Study in the United States
Abstract
Background: Communication inequalities can affect health-seeking behaviors yet the relationship between Internet use and overall health is inconclusive. Communication-related inequalities vary by race/ethnicity and SES but existing research primarily includes middle-class Whites. We therefore examined the relationship between communication-related inequalities-measured by daily Internet use-and health-related quality of life (QOL) using a nationwide prospective cohort study in the United States that consists of primarily low income, minority women. Methods: We examined Internet use and QOL among participants in the Women's Interagency HIV Study. Data collection occurred from October 2014-September 2015 in Chicago, New York, Washington DC, San Francisco, Atlanta, Chapel Hill, Birmingham/Jackson and Miami. We used multi-variable analyses to examine the relationship between daily Internet use and QOL. Results: The sample of 1,915 women was 73% African American and 15% Hispanic; 53% reported an annual income of ≤$12,000. Women with daily Internet use reported a higher QOL at six months, as did women with at least a high school diploma, income >$12,000, and non-White race; older women and those with reported drug use, depressive symptoms and loneliness had lower QOL. Conclusions: Overcoming communication inequalities may be one pathway through which to improve overall QOL and address public health priorities. Reducing communication-related inequalities-e.g, by providing reliable Internet access-and thus improving access to health promoting information, may lead to improved health outcomes.
Conflict of interest statement
COMPETING INTERESTS
The authors have no competing interests to report.
References
-
- Afsar B (2013). The relation between Internet and social media use and the demographic and clinical parameters, quality of life, depression, cognitive function and sleep quality in hemodialysis patients: social media and hemodialysis. General hospital psychiatry, 35(6), 625–630. - PubMed
-
- Anderson M, & Perrin A (2015). 15% of American’s don’t use the Internet. Who are they? Retrieved from http://www.pewresearch.org/fact-tank/2015/07/28/15-of-americans-dont-use...:
-
- Bozzette SA, Hays RD, Berry SH, Kanouse DE, & Wu AW (1995). Derivation and properties of a brief health status assessment instrument for use in HIV disease. JAIDS Journal of Acquired Immune Deficiency Syndromes, 8(3), 253–265. - PubMed
Publication types
MeSH terms
Grants and funding
- U01 AI103397/AI/NIAID NIH HHS/United States
- U01 AI031834/AI/NIAID NIH HHS/United States
- U01 AI035004/AI/NIAID NIH HHS/United States
- U01 AI034989/AI/NIAID NIH HHS/United States
- K01 DA039804/DA/NIDA NIH HHS/United States
- U01 AI034994/AI/NIAID NIH HHS/United States
- UL1 TR000454/TR/NCATS NIH HHS/United States
- U01 AI103401/AI/NIAID NIH HHS/United States
- UL1 TR000004/TR/NCATS NIH HHS/United States
- U01 AI103408/AI/NIAID NIH HHS/United States
- U01 HL146194/HL/NHLBI NIH HHS/United States
- U01 AI103390/AI/NIAID NIH HHS/United States
- U01 AI034993/AI/NIAID NIH HHS/United States
- U01 HL146203/HL/NHLBI NIH HHS/United States
- P30 AI050410/AI/NIAID NIH HHS/United States
- U01 HD032632/HD/NICHD NIH HHS/United States
- U01 AI042590/AI/NIAID NIH HHS/United States
LinkOut - more resources
Full Text Sources
Medical