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Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China

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  • Rong Su

    (School of Public Health, Kunming Medical University, 1168 Yu Hua Street, Chun Rong Road, Cheng Gong New City, Kunming 650500, China
    Department of Gerontology, The Affiliated Ganmei Hospital of Kunming Medical University, 504 Qing Nian Road, Kunming 650011, China)

  • Le Cai

    (School of Public Health, Kunming Medical University, 1168 Yu Hua Street, Chun Rong Road, Cheng Gong New City, Kunming 650500, China)

  • Wenlong Cui

    (School of Public Health, Kunming Medical University, 1168 Yu Hua Street, Chun Rong Road, Cheng Gong New City, Kunming 650500, China)

  • Jianhui He

    (School of Public Health, Kunming Medical University, 1168 Yu Hua Street, Chun Rong Road, Cheng Gong New City, Kunming 650500, China)

  • Dingyun You

    (School of Public Health, Kunming Medical University, 1168 Yu Hua Street, Chun Rong Road, Cheng Gong New City, Kunming 650500, China)

  • Allison Golden

    (School of Public Health, Kunming Medical University, 1168 Yu Hua Street, Chun Rong Road, Cheng Gong New City, Kunming 650500, China)

Abstract

Objectives : The objective of this manuscript is to investigate socioeconomic differences in prevalence, awareness, treatment and self-management of diabetes among ethnic minority groups in Yunnan Province, China. Methods : We conducted a cross-sectional survey in a sample of 5532 Na Xi, Li Su, Dai and Jing Po ethnic minorities. Multilevel modeling was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence, as well as the other outcomes. Results : Higher individual educational level was associated with a higher rate of awareness, treatment, adherence to medicines and monitoring of blood glucose (OR = 1.87, 4.89, 4.83, 6.45; 95% CI: 1.26–2.77, 1.87–12.7, 1.95–11.9, 2.23–18.6, respectively). Diabetic respondents with better household assets tended to receive more treatment (OR = 2.81, 95% CI: 1.11–7.12) and to monitor their blood glucose (OR = 3.29, 95% CI: 1.48–7.30). Diabetic patients with better access to medical services were more likely to treat (OR = 7.09, 95% CI: 2.46–20.4) and adhere to medication (OR = 4.14, 95% CI: 1.46–11.7). Income at the contextual level was significantly correlated with diabetes prevalence, treatment and blood glucose monitoring (OR = 1.84, 3.04, 4.34; 95% CI: 1.20–2.83, 1.20–7.73, 1.45–13.0, respectively). Conclusions : Future diabetes prevention and intervention programs should take both individual and township-level socioeconomic factors into account in the study regions.

Suggested Citation

  • Rong Su & Le Cai & Wenlong Cui & Jianhui He & Dingyun You & Allison Golden, 2016. "Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China," IJERPH, MDPI, vol. 13(8), pages 1-12, July.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:8:p:751-:d:74666
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    References listed on IDEAS

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    3. Robert Adams & Natasha Howard & Graeme Tucker & Sarah Appleton & Anne Taylor & Catherine Chittleborough & Tiffany Gill & Richard Ruffin & David Wilson, 2009. "Effects of area deprivation on health risks and outcomes: a multilevel, cross-sectional, Australian population study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 54(3), pages 183-192, May.
    4. Shugang Li & Shuxia Guo & Fei He & Mei Zhang & Jia He & Yizhong Yan & Yusong Ding & Jingyu Zhang & Jiaming Liu & Heng Guo & Shangzhi Xu & Rulin Ma, 2015. "Prevalence of Diabetes Mellitus and Impaired Fasting Glucose, Associated with Risk Factors in Rural Kazakh Adults in Xinjiang, China," IJERPH, MDPI, vol. 12(1), pages 1-12, January.
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    2. Beata Gavurova & Jan Dvorsky & Boris Popesko, 2021. "Patient Satisfaction Determinants of Inpatient Healthcare," IJERPH, MDPI, vol. 18(21), pages 1-18, October.

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