Longitudinal analysis of the determinants of life expectancy and healthy life expectancy: A causal approach

Aanegola, Rohan; Sakai, Shinpei Nakamura; Kumar, Navin

doi:10.1016/j.health.2022.100028

Cited by 7 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Health factors are able to intervene in poverty reduction because good health will encourage improved performance and productivity, so the correlation between the two shows a negative relationship (Tubaka, 2019). Life expentacy is one of the indicator captured quality of health, it is on of key metrics for assessing population health and hence, of primary interest in medical research (Aanegola et al, 2022). This statement is supported by (Azahari, 2020) that poverty has a negative correlation with public health, meaning that when poverty increases, it can reduce health, especially the life expectancy of an individual.…”

Section: Introductionmentioning

confidence: 99%

Typology analysis and correlation between poverty, health, and education in central kalimantan

Hastuti

Hukom

2023

Int. J. on Social Sci, Econ and Art

View full text Add to dashboard Cite

The poverty rate in Central Kalimantan in the last period has shown an increase in contrast to education and health data which show a positive trend. This is far from the Regional Action Plan that has been designed, so it is necessary to carry out an analysis to determine the relationship between several research variants. This study aims to analyze the correlation and mapping of the poverty quadrant region with district/city levels of education and health in the Province of Central Kalimantan in 2018 and 2021. This research is a type of quantitative research using secondary data which is analyzed through Cartesian diagrams and Pearson correlations. The population and research samples cover 14 districts/cities in the Province of Central Kalimantan. The results showed that there were four areas of poverty, education and health quadrants. A comparison of the mapping of the quadrant areas between poverty and education in 2018 and 2021 shows no difference, while the quadrant areas of poverty and health in 2018 and 2021 show a shift. The Pearson correlation test conducted on the variables of poverty, education, and health shows a negative relationship but low correlation or in other words there is no strong influence between variables. The implication of the findings of this study is that there is a need for policies from the government as policy makers to create educational programs that tend to increase skills. Not only that, special attention is needed to improve health quality in Central Kalimantan Province so that it can become a poverty alleviation tool.

show abstract

Section: Introductionmentioning

confidence: 99%