The study on the distribution characteristics and relevant factors of healthy and long-lived people in multiple regions of Guangxi Zhuang Autonomous Region
10.3760/cma.j.cn112338-20200425-00651
- VernacularTitle:广西壮族自治区多地区长寿人群分布特征及其相关因素研究
- Author:
Xiaolin NI
1
;
Li ZHANG
;
Zhaoping WANG
;
Huabin SU
;
Guofang PANG
;
Yuan LYU
;
Wei ZHANG
;
Huiping YUAN
;
Liang SUN
;
Ze YANG
;
Caiyou HU
Author Information
1. 北京医院，国家老年医学中心，国家卫生健康委北京老年医学研究所，国家卫生健康委老年医学重点实验室，中国医学科学院老年医学研究院，北京 100730；北京协和医学院/中国医学科学院研究生院，北京 100730
- Keywords:
Longevity;
Relevant factors;
Natural population;
Epidemiological characteristics
- From:
Chinese Journal of Epidemiology
2021;42(1):99-105
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the epidemiological characteristics and relevant factors among individuals characterized by their longevity in multiple regions of Guangxi Zhuang Autonomous Region, and provide a valuable scientific perspective for the research in health and longevity of the elderly in Guangxi.Methods:Registration and face-to-face questionnaire on a door-to-door basis were adopted to collect the demographic characteristics of the long-lived individuals (≥90 years old) in Bama of Hechi city, Yongfu of Guilin city, Dongxing of Fangchenggang city, Guangxi. Then, among the local general population, individuals within the age group between 40 and 85 years old were selected randomly as controls. Correlations were then analyzed between the relative health and longevity of the subjects and their gender, ethnicity, family history, disease history, marital status, the number of family generations, the number of children, smoking, drinking, outdoor activities, sleep and other health-related factors, then the result was subject to further analysis by comparing the long-lived population and the control population respectively.Results:Among 691 500 of the permanent residents of Bama, Yongfu and Dongxing city, 1 005 cases were 90 years old and over with a ratio of 145.34 out of 100 000 persons; within the 1 005 cases, 944 were aged between 90 and 100 (longevity rate: 136.51/100 000) with an average age of (93.28±2.57); 61 cases were aged 100 or over, arriving at a centenarian rate of 8.82/100 000 with an average age of (102.00±3.05) years. Significant differences were found just among three particular factors — regional distribution ( P=0.014), history of disease ( P=0.002), four generations of family ( P=0.008) between nonagenarians and centenarians ( P<0.05), while the other 15 indicators did not show anything noteworthy. The result indicated that longevity and centenarians might be the same group and then we combined both groups into one. By cross-comparison between the longevity-plus- centenarians and the control group in the region, factors listed below exhibited significant correlation with health and longevity: marital status ( OR=26.469, 95% CI: 13.208-53.045), number of generations within the family ( OR=5.419, 95% CI: 3.418-8.592), number of male offspring ( OR=2.013, 95% CI: 1.555-2.607), number of female offspring ( OR=1.380, 95% CI: 1.122-1.696), and the frequency of outdoor activities ( OR=10.226, 95% CI: 3.164-33.045). Conclusions:The longevity rate is higher in the general natural population in Bama, Yongfu and Dongxing of Guangxi. The phenomenon may owe to favorable family structure, atmosphere within or out of the family or other elements related with social surrounding. Among them all, mentality, inclination to physical exercise and regular rhythm of life may all exert tremendous contributory influence here.
