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.

Highlights

  • IntroductionAging is a challenge for the global community due to its significant socioeconomic implications

  • Aging is a challenge for the global community due to its significant socioeconomic implications.It is well known that the elderly population is more vulnerable due to its weaker immune system and hypofunction, and its life expectancy may be influenced by many factors including genetic, medical, natural, and economic aspects [1–5]

  • This study aims to investigate the relationship between regional longevity and both natural and socioeconomic factors

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Summary

Introduction

Aging is a challenge for the global community due to its significant socioeconomic implications. It is well known that the elderly population is more vulnerable due to its weaker immune system and hypofunction, and its life expectancy may be influenced by many factors including genetic, medical, natural, and economic aspects [1–5]. China has become an aging society where the proportion of the population aged 65 years and older reached 8.87% in 2010 and will comprise approximately 25% of the total population by 2050 [6,7]. China, as the developing country with the largest elderly. Res. Public Health 2018, 15, 938; doi:10.3390/ijerph15050938 www.mdpi.com/journal/ijerph

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