Chronic Noncommunicable Diseases in 6 Low- and Middle-Income Countries: Findings From Wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (SAGE)

Am J Epidemiol. 2017 Mar 15;185(6):414-428. doi: 10.1093/aje/kww125.

Abstract

In this paper, we examine patterns of self-reported diagnosis of noncommunicable diseases (NCDs) and prevalences of algorithm/measured test-based, undiagnosed, and untreated NCDs in China, Ghana, India, Mexico, Russia, and South Africa. Nationally representative samples of older adults aged ≥50 years were analyzed from wave 1 of the World Health Organization's Study on Global Ageing and Adult Health (2007-2010; n = 34,149). Analyses focused on 6 conditions: angina, arthritis, asthma, chronic lung disease, depression, and hypertension. Outcomes for these NCDs were: 1) self-reported disease, 2) algorithm/measured test-based disease, 3) undiagnosed disease, and 4) untreated disease. Algorithm/measured test-based prevalence of NCDs was much higher than self-reported prevalence in all 6 countries, indicating underestimation of NCD prevalence in low- and middle-income countries. Undiagnosed prevalence of NCDs was highest for hypertension, ranging from 19.7% (95% confidence interval (CI): 18.1, 21.3) in India to 49.6% (95% CI: 46.2, 53.0) in South Africa. The proportion untreated among all diseases was highest for depression, ranging from 69.5% (95% CI: 57.1, 81.9) in South Africa to 93.2% (95% CI: 90.1, 95.7) in India. Higher levels of education and wealth significantly reduced the odds of an undiagnosed condition and untreated morbidity. A high prevalence of undiagnosed NCDs and an even higher proportion of untreated NCDs highlights the inadequacies in diagnosis and management of NCDs in local health-care systems.

Keywords: chronic disease; diagnosis; low- and middle-income countries; noncommunicable diseases; untreated diseases.

MeSH terms

  • Aged
  • Aging*
  • Chronic Disease / economics
  • Chronic Disease / epidemiology*
  • Cluster Analysis
  • Developing Countries / statistics & numerical data*
  • Educational Status
  • Female
  • Global Health / statistics & numerical data*
  • Health Status
  • Health Surveys
  • Humans
  • Interviews as Topic
  • Longitudinal Studies
  • Male
  • Marital Status
  • Middle Aged
  • Prevalence
  • Regression Analysis
  • Self Report
  • Sex Distribution
  • Social Class*
  • World Health Organization