Regional distribution of longevity population and chemical characteristics of natural water in Xinjiang, China

长寿 地理 微咸水 中国 人口 水质 社会经济学 生态学 环境保护 自然地理学 人口学 生物 考古 盐度 遗传学 社会学
作者
Yonglin Liu,Kui Luo,Xiao-Xu Lin,Xing Gao,Runxiang Ni,Shaobin Wang,Xinglei Tian
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:473-474: 54-62 被引量:45
标识
DOI:10.1016/j.scitotenv.2013.11.134
摘要

Xinjiang Province, China is recognized for the longevity of its inhabitants. To study the temporal and spatial variation of longevity region and chemical characteristics of natural water of longevity region in Xinjiang, three population censuses on county-level and 51 natural water samples from Hotan Prefecture, Xinjiang were collected and analyzed. 103 natural water samples were collected from the public papers. Population statistics on county-level showed that the number of centenarians per 100,000 inhabitants (OC) in Southern Xinjiang was 7.4(year 1990), 4.9(year 2000) and 2.1 times (year 2010) more than that of Northern Xinjiang, respectively. And distribution of the longevity index (LI%), centenarity index (CI%) and number of centenarians per 10,000 over 65 year-old subjects (UC) on county-level decreased from south to north. Natural water in Northern Xinjiang was mainly fresh soft water, and it was mainly fresh hard water and brackish hard water in Southern Xinjiang. Water quality of natural water in Northern Xinjiang was superior compare to that of Southern Xinjiang, while number of centenarians 65 year-old & over per 10,000 subjects in Northern Xinjiang were less than that of Southern Xinjiang before 2010. The research indicates that keeping on drinking water with high total hardness (TH) and Mg/Ca ratio might be good for the health.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Yoopenoy发布了新的文献求助10
1秒前
1秒前
1秒前
womo发布了新的文献求助10
1秒前
大模型应助Isaiah采纳,获得10
1秒前
mmr发布了新的文献求助10
2秒前
Wu_cc发布了新的文献求助10
3秒前
彩色布条完成签到,获得积分10
3秒前
4秒前
奈者CO发布了新的文献求助10
5秒前
5秒前
乐乐应助苏碧萱采纳,获得10
5秒前
XY完成签到 ,获得积分10
5秒前
英俊的铭应助小飞鼠采纳,获得10
6秒前
6秒前
6秒前
Linyongpeng完成签到,获得积分10
7秒前
和谐迎夏发布了新的文献求助10
7秒前
8秒前
8秒前
李健应助meimei采纳,获得10
9秒前
九思完成签到,获得积分10
9秒前
你好发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
tttt发布了新的文献求助10
10秒前
11秒前
11秒前
12秒前
fzlx完成签到,获得积分10
12秒前
Linyongpeng发布了新的文献求助30
12秒前
12秒前
13秒前
13秒前
FashionBoy应助之昂采纳,获得10
13秒前
October发布了新的文献求助10
14秒前
14秒前
科研狗应助...采纳,获得50
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Emmy Noether's Wonderful Theorem 1200
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
基于非线性光纤环形镜的全保偏锁模激光器研究-上海科技大学 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6412015
求助须知:如何正确求助?哪些是违规求助? 8231132
关于积分的说明 17469295
捐赠科研通 5464774
什么是DOI,文献DOI怎么找? 2887411
邀请新用户注册赠送积分活动 1864218
关于科研通互助平台的介绍 1702913