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Country-Level Socioeconomic Indicators Associated with Healthy Life Expectancy: Income, Urbanization, Schooling, and Internet Users: 2000–2012

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  • Jong In Kim

    (Wonkwang University
    Wonkwang University)

  • Gukbin Kim

    (University of London)

Abstract

This study confirms the associations between healthy life expectancy (HLE) and country-level socioeconomic factors. Our analysis is based on HLE data of 178 countries obtained from the World Health Organization. Data on country-level socioeconomic indicators were obtained from the World Bank database and the United Nations. The associations between socioeconomic indicators and HLE are assessed using Pearson’s correlation coefficients and multiple regression models. Our findings show significant positive correlations between HLE and the following country-level socioeconomic factors: national income level (INI: r = 0.775, p = 0.001), urban population (UP: r = 0.711, p = 0.001), mean years of schooling (MYS: r = 0.756, p = 0.001), and internet users (IU: r = 0.795, p = 0.001). Predictors of female and male HLE are used to build a model that predicts HLE by overall higher levels of INI, UP, MYS, and IU (R2 = 0.724, p

Suggested Citation

  • Jong In Kim & Gukbin Kim, 2016. "Country-Level Socioeconomic Indicators Associated with Healthy Life Expectancy: Income, Urbanization, Schooling, and Internet Users: 2000–2012," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 391-402, October.
    • Handle: RePEc:spr:soinre:v:129:y:2016:i:1:d:10.1007_s11205-015-1107-2
    DOI: 10.1007/s11205-015-1107-2
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    References listed on IDEAS

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    2. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    3. Mäki, Netta & Martikainen, Pekka & Eikemo, Terje & Menvielle, Gwenn & Lundberg, Olle & Östergren, Olof & Jasilionis, Domantas & Mackenbach, Johan P., 2013. "Educational differences in disability-free life expectancy: a comparative study of long-standing activity limitation in eight European countries," Social Science & Medicine, Elsevier, vol. 94(C), pages 1-8.
    4. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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    Cited by:

    1. Qucheng Deng & Yongping Wei & Yan Zhao & Xuerong Han & Juan Yin, 2018. "Understanding the Natural and Socioeconomic Factors behind Regional Longevity in Guangxi, China: Is the Centenarian Ratio a Good Enough Indicator for Assessing the Longevity Phenomenon?," IJERPH, MDPI, vol. 15(5), pages 1-16, May.
    2. Qucheng Deng & Lijuan Chen & Yongping Wei & Yonghua Li & Xuerong Han & Wei Liang & Yinjun Zhao & Xiaofei Wang & Juan Yin, 2018. "Understanding the Association between Environmental Factors and Longevity in Hechi, China: A Drinking Water and Soil Quality Perspective," IJERPH, MDPI, vol. 15(10), pages 1-17, October.
    3. Junfeng Jiang, 2023. "Heterogeneous Influence of Socioeconomic Inequality on Population Health: A Cross-national Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 1109-1124, October.
    4. Daquan Huang & Shuimiao Yang & Tao Liu, 2020. "Life Expectancy in Chinese Cities: Spatially Varied Role of Socioeconomic Development, Population Structure, and Natural Conditions," IJERPH, MDPI, vol. 17(18), pages 1-24, September.

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