Effect of self-rated health status on functioning difficulties among older adults in Ghana: Coarsened exact matching method of analysis of the World Health Organization's study on global AGEing and adult health, Wave 2

PLoS One. 2019 Nov 5;14(11):e0224327. doi: 10.1371/journal.pone.0224327. eCollection 2019.

Abstract

Background: Functional difficulty assessment has been proven as a key factor in the health evaluation of adults. Previous studies have shown a reduction in health and functional difficulties with increasing age. This analysis was conducted to quantify the effect of poor self-rated health on functional difficulty among older adults in Ghana.

Method: This analysis was based on the World Health Organization Study on Global AGEing and Adult Health in Ghana for older adults 50 years and above. Fifteen standard functioning difficulty tools were extracted and used for the analysis. Three predictive models with the Coarsened Exact Matching method involving Negative Binomial, Logistics and Ordered logistic regression were performed using Stata 14.

Results: Overall, the prevalence of poor Self-rated health was 34.9% and that of functional difficulties among older adults in Ghana was 69.4%. Female sex, increasing age, being separated, having no religious affiliation, not currently working and being underweight were associated with and significantly influence poor Self-rated health [AOR(95%CI)p-value = 1.41(1.08-1.83)0.011, 3.85(2.62-5.64)0.000, 1.45(1.08-1.94)0.013, 2.62(1.68-4.07)0.000, 2.4(1.85-3.12)0.000 and 1.39(1.06-1.81)0.017 respectively]. In addition, poor Self-rated health and geographical location (rural vs. urban)significantly influence functioning difficulties among older adults in Ghana as predicted by the three models [Negative Binomial: PR(95%CI) = 1.62(1.43-1.82), Binary logistic: AOR(95%CI) = 3.67(2.79-4.81) and ordered logistic: AOR(95%CI) = 2.53(1.14-2.03)].

Conclusion: Poor SRH is more pronounced among older adult females in Ghana. Some determinants of poor SRH include; age, geographical location (urban vs. rural), marital status, religion, and employment status. This provides pointers to important socio-demographic determinants with implications on the social function of older adults in line with the theme of the national aging policy of 2010, 'ageing with security and dignity' and ultimately in the national quest to achieve the Sustainable Development Goals by 2030.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aging / physiology*
  • Cross-Sectional Studies
  • Datasets as Topic
  • Female
  • Geriatric Assessment / methods*
  • Geriatric Assessment / statistics & numerical data
  • Ghana
  • Health Status Indicators*
  • Health Status*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Rural Population / statistics & numerical data
  • Self-Assessment*
  • Social Determinants of Health / statistics & numerical data
  • Socioeconomic Factors
  • Urban Population / statistics & numerical data

Grants and funding

There was no funding support for this research.