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Social media use as a predictor of higher body mass index in persons living with HIV.
Schnall, Rebecca; Porras, Tiffany; Musanti, Rita; Adams Tufts, Kimberly; Sefcik, Elizabeth; Hamilton, Mary Jane; Dawson-Rose, Carol; Portillo, Carmen; Philips, J Craig; Chaiphibalsarisdi, Puangtip; Orton, Penelope; Perazzo, Joseph; Webel, Allison R.
Afiliação
  • Schnall R; School of Nursing, Columbia University, New York, NY, USA.
  • Porras T; School of Nursing, Columbia University, New York, NY, USA.
  • Musanti R; School of Nursing, Rutgers University Newark, Newark, USA.
  • Adams Tufts K; Nursing, Old Dominion University, Norfolk, USA.
  • Sefcik E; College of Nursing and Health Sciences, Texas A&M University - Corpus Christi, Corpus Christi, USA.
  • Hamilton MJ; College of Nursing and Health Sciences, Texas A&M University - Corpus Christi, Corpus Christi, USA.
  • Dawson-Rose C; School of Nursing, University of California San Francisco, San Francisco, USA.
  • Portillo C; School of Nursing, Yale University, West Haven, USA.
  • Philips JC; Faculty of Health Sciences, School of Nursing, University of Ottawa, Ottawa, Canada.
  • Chaiphibalsarisdi P; Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
  • Orton P; Department of Nursing, Durban University of Technology, Durban, South Africa.
  • Perazzo J; School of Nursing, University of Cincinnati, Cincinnati, USA.
  • Webel AR; Bolton School of Nursing, Case Western Reserve University, Cleveland, USA.
AIDS Care ; 33(4): 434-440, 2021 04.
Article em En | MEDLINE | ID: mdl-32005080
ABSTRACT
Social media tools have been touted as an approach to bring more democratic communication to health care. We conducted a multi-site cross-sectional study among persons living with HIV (PLWH) to desrcibe technology use among PLWH in the US and the association between social media use and body-mass index (BMI). Our primary predictor variable was social media use. Our primary outcome was BMI measured through height and weight. Descriptive statistics were used to describe the demographic profiles of the study participants and linear regression models were used to analyze associations between the outcome and predictor variables controlling for demographic characteristics. Study participants (N = 606) across 6 study sites in the United States were predominately 50-74 years old (67%). Thirty-three percent of study participants had a normal weight (BMI 18.5-25), 33% were overweight (BMI 25-30), and 32% were obese (BMI > 30). Participants used several social media sites with Facebook (45.6%) predominating. Social media use was associated with higher BMI in study participants (p < .001) and this effect persisted, although not as strongly, when limiting the analysis to those who only those who used Facebook (p = .03). Further consideration of social factors that can be ameliorated to improve health outcomes is timely and needed.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Infecções por HIV / Mídias Sociais Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Infecções por HIV / Mídias Sociais Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article