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Showing content from https://pubmed.ncbi.nlm.nih.gov/24200336/ below:

Mobile technology, cancer prevention, and health status among diverse, low-income adults

• PMID: 24200336
• PMCID: PMC4045653
• DOI: 10.4278/ajhp.120816-ARB-396

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Jason Q Purnell et al. Am J Health Promot. 2014 Jul-Aug.

• PMID: 24200336
• PMCID: PMC4045653
• DOI: 10.4278/ajhp.120816-ARB-396

Item in Clipboard

Purpose: Characterize mobile technology ownership, use, and relationship to self-reported cancer prevention behaviors and health status in a diverse, low-income sample of callers to 2-1-1.

Design: Secondary analyses of cross-sectional survey data from a larger trial collected from June 2010 to December 2012.

Setting: United Way Missouri 2-1-1 serves 99 of 114 counties and received 166,000 calls in 2011.

Subjects: The respondents (baseline, n = 1898; 4 month, n = 1242) were predominantly female, non-Hispanic Black, younger than 50 years, with high-school education or less and annual income <$20,000.

Measures: Cell phone ownership and use and its relationship to cancer prevention services and health status were assessed via telephone-based survey, using items adapted from previous research and the Behavioral Risk Factor Surveillance System. Smartphone ownership and use were also assessed.

Analysis: Descriptive statistics and bivariate and multivariate associations between cell phone ownership and prevention and health status are reported.

Results: Three-fourths (74%) of study participants owned a cell phone and 23% owned a smartphone. Text messaging was the most popular use. Ownership was significantly associated with good to excellent health status and presence of smoke-free home policies in multivariate models.

Conclusion: Cell phone ownership is growing and has potential to deliver health information to low-income populations. With 16 million calls annually, the national 2-1-1 system may be a promising model and platform.

Keywords: 2-1-1; Cellular Phone; Health Behavior; Health Status; Poverty; Prevention; Prevention Research. Manuscript format: research; Research purpose: modeling; descriptive; Study design: nonexperimental; Outcome measure: behavioral; Setting: state; Health focus: cancer prevention and control; racial and ethnic minority population; self-reported health status; Strategy: communication; Target population age: adults; Target population circumstances: low-income populations.

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1. 1. Siegel R, Ward E, Brawley O, Jemal A. Cancer statistics, 2011: The impact of eliminating socioeconomic and racial disparities on premature cancer deaths. CA Cancer J Clin. 2011;61:212–236. - PubMed
2. 1. Stringhini S, Sabia S, Shipley M, et al. Association of socioeconomic position with health behaviors and mortality. JAMA. 2010;303:1159–1166. - PMC - PubMed
3. 1. Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009;15:231–240. - PubMed
4. 1. Zickuhr K, Smith EA. Digital Differences. Washington, DC: Pew Internet & American Life Project; 2012. [Accessed August 22, 2012]. Available at: http://pewinternet.org/Reports/2012/Digital-differences.aspx.
5. 1. Talukdar D, Gauri DK. Home internet access and usage in the USA: Trends in the socio-economic digital divide. Commun Assoc Inform Syst. 2011;28:86–98.

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