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Sex-specific effects of social networks on the prevalence, awareness, and control of hypertension among older Korean adults 被引量:1

Sex-specific effects of social networks on the prevalence, awareness, and control of hypertension among older Korean adults
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摘要 Background Hypertension is a common chronic disease among older adults, and is associated with medical complications and mor- tality. This study aimed to examine the effects of social network characteristics on the prevalence, awareness, and control of hypertension among older adults. Methods The Korean Social Life, Health, and Aging Project (KSHAP) interviewed 814 〉 60-year-old residents and their spouses from a rural township between December 2011 and March 2012 (response rate: 95%). We evaluated the data from 595 partici- pants. Multivariate logistic regression models were used to assess the effects of network characteristics on hypertension. Results We ob- served strong sex-specific network effects on the prevalence, awareness, and control of hypertension. Among older women, network density was associated with hypertension awareness [odds ratio (OR): 2.63, 95% confidence interval (CI): 1.03 5.37J and control (OR: 1.72; 95% CI 0.94-3.13). Among older men, large networks were associated with a lower prevalence of hypertension (OR: 0.75; 95% CI: 0.58-0.96). Compared to older women, older men with coarse networks exhibited better hypertension awareness (OR: 0.37; 95% CI: 0.14-0.95) and control (OR: 0.42; 95% CI: 0.19-0.91 ). Network size interacted with density for hypertension control (P = 0.051), with controlled hyperten- sion being associated with large and course networks. Conclusions A large network was associated with a lower risk for hypertension, and a coarse network was associated with hypertension awareness and control among older men. Older women with dense networks were most likely to exhibit hypertension awareness and control.
出处 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2016年第7期580-586,共7页 老年心脏病学杂志(英文版)
关键词 Hypertension management Sex difference Social density Social network 网络特性 高血压 老年人 控制率 患病率 异性 性别 可信区间
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