A Linear Regression Analysis of Factors Affecting Social Determinants of Health Indicators

Abstract

Background. Social determinants of health are wider set of forces and systems that greatly influence an individual’s health outcomes.

Objective. This study aims to determine the socio-economic indicators that influence certain health indicators focusing on maternal and children under-5 health.

Methods. Selected data from from the World Health Organization (WHO), World Bank, and International Labor Organization (ILO) were primarily used to model health outcomes such as mortality rates, disability-adjusted life years, and deaths and injuries due to occupational injuries. A total of 194 countries were considered as respondents in this study. Linear hierarchical multiple regression was used to determine the relationship of social determinants of health on life expectancy at birth, maternal mortality ratio (per 100,000 live births), under-5 years mortality ratio, prevalence of overweight in children under-5 years, and death rate (per 100,000 population).

Results. Data from 194 countries shows that the global average life expectancy is 55.7 years. The global average maternal mortality ratio is 1119.509 per 100,000 live births, and maternal mortality is significantly increased by factors such as increase in total vulnerable employment, total unemployment, and CPIA gender equality rating. Focusing on children’s health outcomes, the global average under-5 mortality rate was 102.247 per 100,000 live births. Mortality rate for children under-5 increases with total vulnerable employment and total unemployment, while adult literacy rate, 1 medical doctor per 10,000 population, and food safety level decreases under-5 mortality rates. The global overweight prevalence in children under-5 is 10.389%. The increase in average monthly earnings of employees working in service and sales increases its prevalence. For death rate, the global average is 682.818 per 100,000 population. This is further positively affected by an increase in rural population and total unemployment. On the other hand, adult literacy rate decreases death rate.

Conclusion. Socio-economic factors such as income, education, employment, and government support influence maternal and children under-5 health indicators. Thus, programs, projects, and activities that aim to positively affect the health of the public should be holistic and should also focus on positively altering the health behavior of the public.