首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Spatio-Temporal Variation of Longevity Clusters and the Influence of Social Development Level on Lifespan in a Chinese Longevous Area (1982–2010)
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Spatio-Temporal Variation of Longevity Clusters and the Influence of Social Development Level on Lifespan in a Chinese Longevous Area (1982–2010)

机译:中国长寿地区长寿集群的时空变化及社会发展水平对寿命的影响(1982–2010)

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摘要

The study aims to determine the spatial and temporal variation of a longevous region and explore the correlation between longevity and socioeconomic development. Population data at the township level were obtained from the last four population censuses (1982–2010). Five main lifespan indicators and the Human Development Index (HDI) were calculated. Getis-Ord G*, Gravity modeling, and Pearson’s r between lifespan indicators and HDI were applied. In this study, a stable longevous gathering area was discovered in Hechi during different periods. Under the influence of social and economic development, more longevous areas appeared. However, the effects of genetic and natural environmental factors on longevity were always dominant in this remote and mountainous city. Furthermore, longevity indicators lacked any significant correlation with life expectancy. No significant positive correlation was detected between lifespan indicators and HDI. Thus, we conclude that lifespan indicators can determine the spatial distribution and variation pattern of longevity from multiple dimensions. The geographical scope of longevity in Hechi City is gradually expanding, and significant spatial clustering was detected in southwestern, southern, and eastern parts of Hechi. This study also found that social economic development is likely to have a certain impact on new longevous areas, but their role on extreme longevity is not significant.
机译:该研究旨在确定长寿地区的时空变化,并探讨长寿与社会经济发展之间的关系。乡镇一级的人口数据是根据最近四次人口普查(1982–2010年)获得的。计算了五个主要寿命指标和人类发展指数(HDI)。应用了Getis-Ord G *,重力模型以及寿命指标和HDI之间的Pearson r。在这项研究中,河池在不同时期发现了一个稳定的长寿采集区。在社会经济发展的影响下,出现了更长寿的地区。然而,在这个偏远山区的城市,遗传和自然环境因素对寿命的影响始终占主导地位。此外,寿命指标与预期寿命之间没有显着相关性。寿命指标和HDI之间未发现显着正相关。因此,我们得出结论,寿命指标可以从多个维度确定寿命的空间分布和变化模式。河池市长寿的地理范围正在逐步扩大,在河池的西南,南部和东部地区发现了明显的空间聚类。这项研究还发现,社会经济发展可能会对新的长寿地区产生一定的影响,但它们对极端长寿的作用并不重要。

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