Pengaruh Kemiskinan Dan Pendidikan Terhadap Kesehatan Masyarakat

Azahari, Reza

doi:10.33019/equity.v8i1.14

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…It means that when poverty is high, life expentancy district or city in Central Kalimantan Province actually decrease, and vice versa. The results of this study support (Azahari, 2020) that poverty shows a negative relationship to health, but statistically insignificant, thus there is no effect of poverty on the health of the people of Bangka Belitung Islands Province. Similar results were described by (Bariyah, 2022) who found that there was no correlation between poverty and life expectancy (LE) in West Kalimantan Province.…”

Section: Results Correlation Testsupporting

confidence: 71%

“…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. Then education is positively correlated with public health, meaning that when educational indicators increase it can extend the life expectancy of an individual.…”

Section: Introductionmentioning

confidence: 99%

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

Hastuti

Hukom

2023

Int. J. on Social Sci, Econ and Art

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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.

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Section: Results Correlation Testsupporting

confidence: 71%

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

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“…Neglect of the education and health care of farm family member's results in reduced productivity, so poverty will continue to surround the farm family. Azahari (17) argues that poverty has a negative influence on public health, namely reducing the realization of public health figures, in particular the life expectancy of an individual. While education has a positive impact on public health, this means that increasing educational factors can improve public health indicators in this case the life expectancy of individuals.…”

Section: Poverty Among Forest Farmer Householdsmentioning

confidence: 99%

Tobacco use and its impact on poverty among forest households: The cases of Indonesia

Diniyati¹,

Achmad²

2022

World J. Bio. Pharm. Health Sci.

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Cigarettes are a widely distributed type of food product in the community, mainly in West Java (32.7%) and West Nusa Tenggara (30.3%). The government, therefore, needs to understand the impact of tobacco use on poverty among farm households. The study was conducted in three villages of Cukangkawung, Sukaharja, and Labuhan Badas, selecting 30 respondents per village. Those are farmers who work in the forest sector, for a total of 90 respondents. Data were obtained through interviews and desk studies that were analyzed descriptively. The results of the study showed that the highest number of smokers in Cukangkawung, Sukaharja, and Labuhan Badas were 10, 10, and 11 persons, respectively. Their yearly average consumption per person was IDR 2,754,000, IDR 9,375,000 and IDR 1,682,180 respectively. The smoking rate per village was 9.47% (Cukangkawung), 9.96% (Sukaharja), and 10.28% (Labuhan Badas). Cigarette consumption by farmers leads to lost opportunities to invest in other purposes, including education and health care. These two factors lead to productivity which is closely related to poverty. As productivity is low, farm incomes are also low, so the needs cannot be fully satisfied. It was revealed when income rises, cigarette consumption rises, but it is interesting to note that when income falls, cigarette consumption remains constant. If this continues, farmers and families will continue to live in poverty. This phenomenon requires government action to break the chain of poverty through a variety of policies and incentives.

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Predictors of national health insurance membership among the poor with different education levels in Indonesia

2023

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Background Indonesia has made significant progress in expanding universal health coverage (UHC) through its National Health Insurance (NHI) mechanism. However, in the context of NHI implementation in Indonesia, socioeconomic disparities caused its subpopulations to have different literacy of NHI concepts and procedures, increasing the risk of healthcare access inequities. Hence, the study aimed to analyse the predictors of NHI membership among the poor with different education levels in Indonesia. Methods This study used the secondary dataset of the nationwide survey “Abilities and Willingness to Pay, Fee, and Participant Satisfaction in implementing National Health Insurance in Indonesia in 2019” by The Ministry of Health of the Republic of Indonesia. The study population was the poor population in Indonesia and included a weighted sample of 18,514 poor people. The study used NHI membership as a dependent variable. Meanwhile, the study analysed seven independent variables: wealth, residence, age, gender, education, employment, and marital status. In the final step of the analysis, the study used binary logistic regression. Results The results show that the NHI membership among the poor population tends to be higher among those who have higher education, live in urban areas, are older than 17 years old, are married and are wealthier. The poor population with higher education levels is more likely to become NHI members than those with lower education. Their residence, age, gender, employment, marital status, and wealth also predicted their NHI membership. Poor people with primary education are 1.454 times more likely to be NHI members than those without education (AOR 1.454; 95% CI 1.331–1.588). Meanwhile, those with secondary education are 1.478 times more likely to be NHI members than those with no education (AOR 1.478; 95% CI 1.309–1.668). Moreover, higher education is 1.724 times more likely to result in being an NHI member than no education (AOR 1.724; 95% CI 1.356–2.192). Conclusion Education level, residence, age, gender, employment, marital status, and wealth predict NHI membership among the poor population. Since significant differences exist in all of those predictors among the poor population with different education levels, our findings highlighted the importance of government investment in NHI, which must be supported with investment in the poor population’s education.

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Pengaruh Kemiskinan Dan Pendidikan Terhadap Kesehatan Masyarakat

Cited by 3 publications

References 13 publications

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

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

Tobacco use and its impact on poverty among forest households: The cases of Indonesia

Predictors of national health insurance membership among the poor with different education levels in Indonesia

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