Multilevel analysis of socioeconomic determinants on diabetes prevalence, awareness, treatment and self-management in ethnic minorities of Yunnan Province, China

  • Rong Su
  • , Le Cai*
  • , Wenlong Cui
  • , Jianhui He
  • , Dingyun You
  • , Allison Golden
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number751
JournalInternational Journal of Environmental Research and Public Health
Volume13
Issue number8
DOIs
StatePublished - Aug 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diabetes
  • Multilevel modeling
  • Prevalence
  • Self-management
  • Socioeconomic status
  • Unique ethnic minority

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