TY - JOUR
T1 - Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access
T2 - MESA (Multi-Ethnic Study of Atherosclerosis)
AU - Patel, Reshmi J.S.
AU - Ding, Jie
AU - Marvel, Francoise A.
AU - Shan, Rongzi
AU - Plante, Timothy B.
AU - Blaha, Michael J.
AU - Post, Wendy S.
AU - Martin, Seth S.
N1 - Publisher Copyright:
© 2022 The Authors.
PY - 2022/9/6
Y1 - 2022/9/6
N2 - BACKGROUND: Mobile health (mHealth) has an emerging role in the prevention of cardiovascular disease. This study evaluated possible inequities in mHealth access in older adults. METHODS AND RESULTS: mHealth access was assessed from 2019 to 2020 in MESA (Multi-Ethnic Study of Atherosclerosis) telephone surveys of 2796 participants aged 62 to 102 years. A multivariable logistic regression model adjusted for general health status assessed associations of mHealth access measures with relevant demographic, socioeconomic, and cognitive characteristics. There were lower odds of all access measures with older age (odds ratios [ORs], 0.37– 0.59 per 10 years) and annual income <$50 000 (versus ≥$50 000 ORs, 0.55– 0.62), and higher odds with higher Cognitive Abilities Screening Instrument Score (ORs, 1.22–1.29 per 5 points). Men (versus women) had higher odds of internet access (OR, 1.32 [95% CI,1.05–1.66]) and computing device ownership (OR, 1.31 [95% CI, 1.05–1.63]) but lower fitness tracker ownership odds (OR, 0.70 [95% CI, 0.49– 0.89]). For internet access and computing device ownership, we saw lower odds for Hispanic participants (versus White participants OR, 0.61 [95% CI, 0.44– 0.85]; OR, 0.69 [95% CI, 0.50– 0.95]) and less than a high school education (versus bachelor’s degree or higher OR, 0.27 [95% CI, 0.18– 0.40]; OR, 0.32 [95% CI, 0.28– 0.62]). For internet access, lower odds were seen for Black participants (versus White participants OR, 0.64 [95% CI, 0.47– 0.86]) and other health insurance (versus health maintenance organization/private OR, 0.59 [95% CI, 0.47– 0.74]). Chinese participants (versus White participants) had lower internet access odds (OR, 0.63 [95% CI, 0.44– 0.91]) but higher computing device ownership odds (OR, 1.87 [95% CI, 1.28– 2.77]). CONCLUSIONS: Among older-age adults, mHealth access varied by major demographic, socioeconomic, and cognitive charac-teristics, suggesting a digital divide. Novel mHealth interventions should consider individual access barriers. REGISTRATION: URL: https://www.clinicaltrials.gov/; Unique identifier: NCT00005487.
AB - BACKGROUND: Mobile health (mHealth) has an emerging role in the prevention of cardiovascular disease. This study evaluated possible inequities in mHealth access in older adults. METHODS AND RESULTS: mHealth access was assessed from 2019 to 2020 in MESA (Multi-Ethnic Study of Atherosclerosis) telephone surveys of 2796 participants aged 62 to 102 years. A multivariable logistic regression model adjusted for general health status assessed associations of mHealth access measures with relevant demographic, socioeconomic, and cognitive characteristics. There were lower odds of all access measures with older age (odds ratios [ORs], 0.37– 0.59 per 10 years) and annual income <$50 000 (versus ≥$50 000 ORs, 0.55– 0.62), and higher odds with higher Cognitive Abilities Screening Instrument Score (ORs, 1.22–1.29 per 5 points). Men (versus women) had higher odds of internet access (OR, 1.32 [95% CI,1.05–1.66]) and computing device ownership (OR, 1.31 [95% CI, 1.05–1.63]) but lower fitness tracker ownership odds (OR, 0.70 [95% CI, 0.49– 0.89]). For internet access and computing device ownership, we saw lower odds for Hispanic participants (versus White participants OR, 0.61 [95% CI, 0.44– 0.85]; OR, 0.69 [95% CI, 0.50– 0.95]) and less than a high school education (versus bachelor’s degree or higher OR, 0.27 [95% CI, 0.18– 0.40]; OR, 0.32 [95% CI, 0.28– 0.62]). For internet access, lower odds were seen for Black participants (versus White participants OR, 0.64 [95% CI, 0.47– 0.86]) and other health insurance (versus health maintenance organization/private OR, 0.59 [95% CI, 0.47– 0.74]). Chinese participants (versus White participants) had lower internet access odds (OR, 0.63 [95% CI, 0.44– 0.91]) but higher computing device ownership odds (OR, 1.87 [95% CI, 1.28– 2.77]). CONCLUSIONS: Among older-age adults, mHealth access varied by major demographic, socioeconomic, and cognitive charac-teristics, suggesting a digital divide. Novel mHealth interventions should consider individual access barriers. REGISTRATION: URL: https://www.clinicaltrials.gov/; Unique identifier: NCT00005487.
KW - cardiovascular disease
KW - mHealth
KW - mobile health
KW - prevention
UR - http://www.scopus.com/inward/record.url?scp=85137604717&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85137604717&partnerID=8YFLogxK
U2 - 10.1161/JAHA.121.024885
DO - 10.1161/JAHA.121.024885
M3 - Article
C2 - 36056720
AN - SCOPUS:85137604717
SN - 2047-9980
VL - 11
JO - Journal of the American Heart Association
JF - Journal of the American Heart Association
IS - 17
M1 - e024885
ER -