Abstract
Longevity research is a hot topic in the health field. Considerable research focuses on longevity phenomenon in Bama Yao Autonomous County, which has a typical karst landform and is located in Southwest China. This study aims to illustrate the spatial feature of longevity indicators in other Yao areas, to analyze the correlation between climatic factors and longevity indicators, and to provide new clues and targets for further longevity studies. We collect and integrate population, climate, and terrain data into a spatial database. The main analysis methods include spatial autocorrelation, high/low clustering, and multiscale geographically weighted regression (MGWR). Two longevity clusters are identified in Guijiang River Basin (longevity index (LI%): 2.49 ± 0.63) and Liujiang River Basin (LI%: 2.13 ± 0.60). The spatial distribution of longevity indicators is autocorrelative (Moran’s I = 0.652, p < 0.001) and clustered significantly (Z score = 4.268, p < 0.001). MGWR shows that the atmospheric pressure significantly affects the spatial distribution of LI% (estimate value (EV) = − 0.566, p = 0.012), centenarity index (CI%) (EV = − 0.425, p = 0.007), UC (EV = − 0.502, p = 0.006), and CH (EV = − 0.497, p = 0.007). Rainfall significantly affects the spatial distribution of LI% (EV = 0.300, p = 0.003) and CI% (EV = − 0.191, p = 0.016). The spatial distribution of the main longevity indicators shows significant heterogeneity and autocorrelation, and they cluster in the Guijiang River and Liujiang River basins. Atmospheric pressure and rainfall may contribute to the longevity phenomenon through complex mechanisms. The longevity phenomenon in the Yao nationality in Guijiang River Basin requires further study to improve our understanding of the health effect of meteorological, environmental, and social conditions on longevity.
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Acknowledgements
The authors would like to thank Chuntao Nong, Min Xu, and Junling Zhang for excellent technical support, and professors Yuhua Ruan, Chunhua Bei, and You Li for critically reviewing the manuscript.
Funding
This study was supported by the National Natural Science Foundation of China (grant nos. 81560523 and 81760577), the Guangxi Science and Technology Development Project (grant AD17129003, no. 14124005–2-11), the Guangxi Scholarship Fund of Guangxi Education Department of China, the Fundamental Research Funds for Young and Middle-Aged Teachers by the Education Department of Guangxi Government (grant no. KY2016YB076), the Innovation Project of Guangxi Graduate Education (grant no. YCBZ2020052), and the Young Researchers Science Foundation Program of Guangxi Medical University (grant no. GXMUYSF201814).
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Lu, H., He, H., Liu, Q. et al. Geographical distinctions of longevity indicators and their correlation with climatic factors in the area where most Chinese Yao are distributed. Int J Biometeorol 66, 97–110 (2022). https://doi.org/10.1007/s00484-021-02195-w
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DOI: https://doi.org/10.1007/s00484-021-02195-w