Morgan M Philbin1, Carrigan Parish1, Margaret Pereyra1, Daniel J Feaster2, Mardge Cohen3, Gina Wingood1, Deborah Konkle-Parker4, Adebola Adedimeji5, Tracey E Wilson6, Jennifer Cohen7, Lakshmi Goparaju8, Adaora A Adimora9,10, Elizabeth T Golub11, Lisa R Metsch1. 1. a Department of Sociomedical Sciences , Columbia University Mailman School of Public Health , New York , NY , USA. 2. b Department of Public Health Sciences, Division of Biostatistics , University of Miami Miller School of Medicine , Miami , FL , USA. 3. c Cook County Health & Hospital System , Departments of Medicine/CORE Center at John H. Stroger Jr Hospital of Cook County , Chicago , IL , USA. 4. d Division of Infectious Diseases , University of Mississippi Medical Center , Jackson , MS , USA. 5. e Department of Epidemiology & Population Health , Albert Einstein College of Medicine , Bronx , NY , USA. 6. f Department of Community Health Sciences , School of Public Health, SUNY Downstate Medical Center , Brooklyn , NY , USA. 7. g Department of Clinical Pharmacy , UCSF School of Pharmacy , San Francisco , CA , USA. 8. h Department of Medicine , Georgetown University Medical Center , Washington , D.C. , USA. 9. i Division of Infectious Diseases , University of North Carolina School of Medicine , Chapel Hill , NC , USA. 10. j Department of Epidemiology , Gillings School of Global Public Health, University of North Carolina at Chapel Hill , Chapel Hill , NC , USA. 11. k Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health , Baltimore , MD , USA.
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.
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.
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