Using demographics to predict smartphone health app adoption and intentions to improve wellbeing

Jennifer Carroll, Anne Moorhead, Raymond Bond, William LeBlanc, Robert Petrella, Kevin Fiscella

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Background: Smartphone use and the adoption of healthy lifestyle software applications (“health apps”) are rapidly proliferating. There is limited information on users of the health apps in terms of their characteristics, intentions to change, and actual health behaviours. The study objectives were to 1) to describe the socio-demographic and health behaviour characteristics associated with health app use in a recent U.S. nationally representative sample; 2) to assess the predictors of use of health apps for health promotion, and 3) to examine the association between use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity.Methods: Data on 3,677 users of mobile devices and health apps were analysed from National Cancer Institute’s 2015 Health Information National Trends Survey (HINTS), designed to provide nationally representative estimates for health information in the US and is publicly available online. Machine learning evaluation and multivariable logistic regression models were used to assess socio-demographic predictors of mobile device and health app use and examine associations between app use, intentions to change behaviour, and actual behaviour change for fruit and vegetable consumption, physical activity, and weight loss.Findings: Older individuals (45 to 64 years, OR=0.56; 65+ years, OR=0.19), males (OR=0.80), and having a degree (OR=2.83) or less than high school education (OR=0.43) were all significantly associated with a reduced likelihood of having adopted mobile technology; these variables were mildly to moderately potent in predicting mobile technology adoption. Individuals with apps were significantly more likely to report intentions to improve fruit (P=0.01) and vegetable (P
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages1
Publication statusAccepted/In press - 6 Jun 2016
EventInternational Conference on Communication in Healthcare - Heidelberg, Germany
Duration: 6 Jun 2016 → …

Conference

ConferenceInternational Conference on Communication in Healthcare
Period6/06/16 → …

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Demography
Health
Vegetables
Fruit
Telemedicine
Health Behavior
Logistic Models
Technology
Equipment and Supplies
National Cancer Institute (U.S.)
Health Promotion
Smartphone
Weight Loss
Software
Guidelines
Education

Keywords

  • smartphone
  • health app
  • adoption
  • intentions
  • wellbeing

Cite this

Carroll, J., Moorhead, A., Bond, R., LeBlanc, W., Petrella, R., & Fiscella, K. (Accepted/In press). Using demographics to predict smartphone health app adoption and intentions to improve wellbeing. In Unknown Host Publication
Carroll, Jennifer ; Moorhead, Anne ; Bond, Raymond ; LeBlanc, William ; Petrella, Robert ; Fiscella, Kevin. / Using demographics to predict smartphone health app adoption and intentions to improve wellbeing. Unknown Host Publication. 2016.
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Carroll, J, Moorhead, A, Bond, R, LeBlanc, W, Petrella, R & Fiscella, K 2016, Using demographics to predict smartphone health app adoption and intentions to improve wellbeing. in Unknown Host Publication. International Conference on Communication in Healthcare, 6/06/16.

Using demographics to predict smartphone health app adoption and intentions to improve wellbeing. / Carroll, Jennifer; Moorhead, Anne; Bond, Raymond; LeBlanc, William; Petrella, Robert; Fiscella, Kevin.

Unknown Host Publication. 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Moorhead, Anne

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AU - LeBlanc, William

AU - Petrella, Robert

AU - Fiscella, Kevin

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N2 - Background: Smartphone use and the adoption of healthy lifestyle software applications (“health apps”) are rapidly proliferating. There is limited information on users of the health apps in terms of their characteristics, intentions to change, and actual health behaviours. The study objectives were to 1) to describe the socio-demographic and health behaviour characteristics associated with health app use in a recent U.S. nationally representative sample; 2) to assess the predictors of use of health apps for health promotion, and 3) to examine the association between use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity.Methods: Data on 3,677 users of mobile devices and health apps were analysed from National Cancer Institute’s 2015 Health Information National Trends Survey (HINTS), designed to provide nationally representative estimates for health information in the US and is publicly available online. Machine learning evaluation and multivariable logistic regression models were used to assess socio-demographic predictors of mobile device and health app use and examine associations between app use, intentions to change behaviour, and actual behaviour change for fruit and vegetable consumption, physical activity, and weight loss.Findings: Older individuals (45 to 64 years, OR=0.56; 65+ years, OR=0.19), males (OR=0.80), and having a degree (OR=2.83) or less than high school education (OR=0.43) were all significantly associated with a reduced likelihood of having adopted mobile technology; these variables were mildly to moderately potent in predicting mobile technology adoption. Individuals with apps were significantly more likely to report intentions to improve fruit (P=0.01) and vegetable (P

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Carroll J, Moorhead A, Bond R, LeBlanc W, Petrella R, Fiscella K. Using demographics to predict smartphone health app adoption and intentions to improve wellbeing. In Unknown Host Publication. 2016