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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?

Author

Listed:
  • Qucheng Deng

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia)

  • Yongping Wei

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia
    Key Laboratory of Environmental Change and Resources, Guangxi Teachers Education University, The Ministry of Education, Nanning 530001, China)

  • Yan Zhao

    (School of Earth and Environmental Sciences, The University of Queensland, Brisbane 4067, Australia)

  • Xuerong Han

    (Guangxi Zhuang Autonomous Region Environmental Monitoring Center, Nanning 530028, China)

  • Juan Yin

    (Department of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning 530003, Guangxi, China)

Abstract

Despite a number of longevity indicators having been used in previous longevity studies, few studies have critically evaluated whether these indicators are suitable to assess the regional longevity level. In addition, an increasing number of studies have attempted to determine the influence of socioeconomic and natural factors on regional longevity, but only certain factors were considered. This study aims to bridge this gap by determining the relationship between the 7 longevity indicators and selecting 24 natural and socioeconomic indicators in 109 selected counties and urban districts in Guangxi, China. This study has applied spatial analysis and geographically weighted regression as the main research methods. The seven longevity indicators here refer to centenarian ratio, longevity index, longevity level, aging tendency, 80 + ratio, 90 + ratio, and 95 + ratio. Natural indicators in this study mainly refer to atmospheric pressure, temperature, difference in temperature, humidity, rainfall, radiation, water vapor, and altitude. Socioeconomic indicators can be categorized into those related to economic status, education, local infrastructure, and health care facilities. The results show that natural factors such as the difference in temperature and altitude, along with socioeconomic factors such as GDP, might be the most significant contributors to the longevity of people aged 60–90 years in Guangxi. The longevity index and longevity level are useful supplementary indexes to the centenarian ratio for assessing the regional longevity.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:938-:d:145126
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    References listed on IDEAS

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    1. Zeng Yi & James W. Vaupel & Xiao Zhenyu & Zhang Chunyuan & Liu Yuzhi, 2002. "Sociodemographic and Health Profiles of the Oldest Old In China," Population and Development Review, The Population Council, Inc., vol. 28(2), pages 251-273, June.
    2. 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.
    3. Yang, S. & Khang, Y.-H. & Harper, S. & Smith, G.D. & Leon, D.A. & Lynch, J., 2010. "Understanding the rapid increase in life expectancy in South Korea," American Journal of Public Health, American Public Health Association, vol. 100(5), pages 896-903.
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    Cited by:

    1. Silvana Mirella Aliberti & Francesco De Caro & Richard H. W. Funk & Luigi Schiavo & Joseph Gonnella & Giovanni Boccia & Mario Capunzo, 2022. "Extreme Longevity: Analysis of the Direct or Indirect Influence of Environmental Factors on Old, Nonagenarians, and Centenarians in Cilento, Italy," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    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. Qucheng Deng & Yongping Wei & Lijuan Chen & Wei Liang & Jijun Du & Yuling Tan & Yinjun Zhao, 2019. "Relationship between Air Pollution and Regional Longevity in Guangxi, China," IJERPH, MDPI, vol. 16(19), pages 1-12, October.

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