Chinese General Practice ›› 2022, Vol. 25 ›› Issue (15): 1838-1844.DOI: 10.12114/j.issn.1007-9572.2022.02.017
Special Issue: 社区卫生服务最新研究合集; 神经系统疾病最新文章合集
• Article • Previous Articles Next Articles
Received:
2021-10-27
Revised:
2022-01-20
Published:
2022-01-27
Online:
2022-04-07
Contact:
Wanghong XU, Yi ZHOU
About author:
通讯作者:
徐望红, 周弋
作者简介:
基金资助:
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.chinagp.net/EN/10.12114/j.issn.1007-9572.2022.02.017
项目 | ( | P25 | P50 | P75 | |
---|---|---|---|---|---|
每日脑卒中死亡人数(人) | |||||
男性 | 2.74±1.76 | 1 | 3 | 4 | |
女性 | 2.80±1.76 | 2 | 3 | 4 | |
<75岁 | 1.62±1.31 | 1 | 1 | 2 | |
≥75岁 | 3.92±2.12 | 2 | 4 | 5 | |
小学及以下 | 3.80±2.13 | 2 | 4 | 5 | |
中学及以上 | 1.74±1.37 | 1 | 2 | 3 | |
出血性脑卒中 | 2.05±1.50 | 1 | 2 | 3 | |
缺血性脑卒中 | 2.79±1.76 | 2 | 3 | 4 | |
气象因素 | |||||
日均温度(℃) | 17.25±8.78 | 9.60 | 18.20 | 24.40 | |
日均相对湿度(%) | 73.75±12.32 | 66.20 | 75.00 | 82.40 | |
日均大气压(hPa) | 1 015.83±8.97 | 1 008.20 | 1 015.90 | 1 022.88 | |
空气污染物 | |||||
PM10(μg/m3) | 68.87±43.55 | 41.00 | 58.00 | 84.00 | |
SO2(μg/m3) | 28.82±25.08 | 11.00 | 19.00 | 39.00 | |
NO2(μg/m3) | 44.68±21.59 | 29.00 | 40.00 | 56.00 |
Table 1 The distribution of average daily stroke mortality,meteorological factors and air pollutants in Pudong New Area,2005—2019
项目 | ( | P25 | P50 | P75 | |
---|---|---|---|---|---|
每日脑卒中死亡人数(人) | |||||
男性 | 2.74±1.76 | 1 | 3 | 4 | |
女性 | 2.80±1.76 | 2 | 3 | 4 | |
<75岁 | 1.62±1.31 | 1 | 1 | 2 | |
≥75岁 | 3.92±2.12 | 2 | 4 | 5 | |
小学及以下 | 3.80±2.13 | 2 | 4 | 5 | |
中学及以上 | 1.74±1.37 | 1 | 2 | 3 | |
出血性脑卒中 | 2.05±1.50 | 1 | 2 | 3 | |
缺血性脑卒中 | 2.79±1.76 | 2 | 3 | 4 | |
气象因素 | |||||
日均温度(℃) | 17.25±8.78 | 9.60 | 18.20 | 24.40 | |
日均相对湿度(%) | 73.75±12.32 | 66.20 | 75.00 | 82.40 | |
日均大气压(hPa) | 1 015.83±8.97 | 1 008.20 | 1 015.90 | 1 022.88 | |
空气污染物 | |||||
PM10(μg/m3) | 68.87±43.55 | 41.00 | 58.00 | 84.00 | |
SO2(μg/m3) | 28.82±25.08 | 11.00 | 19.00 | 39.00 | |
NO2(μg/m3) | 44.68±21.59 | 29.00 | 40.00 | 56.00 |
滞后期(d) | 脑卒中死亡 | 出血性脑卒中死亡 | 缺血性脑卒中死亡 |
---|---|---|---|
Lag 0 | 0.77(0.68,0.86) | 0.82(0.67,0.99) | 0.69(0.58,0.81) |
Lag 0~1 | 0.91(0.82,1.01) | 1.09(0.92,1.29) | 0.77(0.67,0.90) |
Lag 0~3 | 0.98(0.88,1.10) | 1.21(1.00,1.45) | 0.82(0.70,0.96) |
Lag 0~7 | 1.14(1.00,1.30) | 1.46(1.18,1.81) | 0.95(0.79,1.14) |
Lag 0~14 | 1.34(1.15,1.56) | 1.61(1.25,2.08) | 1.17(0.94,1.45) |
Lag 0~21 | 1.30(1.09,1.54) | 1.39(1.05,1.84) | 1.19(0.93,1.52) |
Table 2 The cummulative effect of low temperature on stroke mortality in Pudong New Area
滞后期(d) | 脑卒中死亡 | 出血性脑卒中死亡 | 缺血性脑卒中死亡 |
---|---|---|---|
Lag 0 | 0.77(0.68,0.86) | 0.82(0.67,0.99) | 0.69(0.58,0.81) |
Lag 0~1 | 0.91(0.82,1.01) | 1.09(0.92,1.29) | 0.77(0.67,0.90) |
Lag 0~3 | 0.98(0.88,1.10) | 1.21(1.00,1.45) | 0.82(0.70,0.96) |
Lag 0~7 | 1.14(1.00,1.30) | 1.46(1.18,1.81) | 0.95(0.79,1.14) |
Lag 0~14 | 1.34(1.15,1.56) | 1.61(1.25,2.08) | 1.17(0.94,1.45) |
Lag 0~21 | 1.30(1.09,1.54) | 1.39(1.05,1.84) | 1.19(0.93,1.52) |
滞后期(d) | 脑卒中死亡 | 出血性脑卒中死亡 | 缺血性脑卒中死亡 |
---|---|---|---|
Lag 0 | 1.14(1.00,1.30) | 0.98(0.78,1.22) | 1.44(1.19,1.74) |
Lag 0~1 | 1.26(1.12,1.41) | 0.86(0.71,1.04) | 1.64(1.39,1.93) |
Lag 0~3 | 1.05(0.93,1.17) | 0.69(0.57,0.84) | 1.37(1.16,1.61) |
Lag 0~7 | 0.95(0.84,1.08) | 0.65(0.53,0.80) | 1.26(1.05,1.51) |
Lag 0~14 | 0.85(0.73,0.99) | 0.53(0.41,0.67) | 1.19(0.96,1.46) |
Lag 0~21 | 0.82(0.69,0.98) | 0.59(0.45,0.79) | 1.02(0.80,1.30) |
Table 3 The cummulative effect of high temperature on stroke mortality in Pudong New Area
滞后期(d) | 脑卒中死亡 | 出血性脑卒中死亡 | 缺血性脑卒中死亡 |
---|---|---|---|
Lag 0 | 1.14(1.00,1.30) | 0.98(0.78,1.22) | 1.44(1.19,1.74) |
Lag 0~1 | 1.26(1.12,1.41) | 0.86(0.71,1.04) | 1.64(1.39,1.93) |
Lag 0~3 | 1.05(0.93,1.17) | 0.69(0.57,0.84) | 1.37(1.16,1.61) |
Lag 0~7 | 0.95(0.84,1.08) | 0.65(0.53,0.80) | 1.26(1.05,1.51) |
Lag 0~14 | 0.85(0.73,0.99) | 0.53(0.41,0.67) | 1.19(0.96,1.46) |
Lag 0~21 | 0.82(0.69,0.98) | 0.59(0.45,0.79) | 1.02(0.80,1.30) |
滞后期(d) | 年龄 | 文化水平 | ||
---|---|---|---|---|
<75岁 | ≥75岁 | 小学及以下 | 中学及以上 | |
Lag 0 | 0.83(0.67,1.03) | 0.74(0.65,0.86) | 0.77(0.67,0.89) | 0.77(0.62,0.95) |
Lag 0~1 | 0.90(0.74,1.09) | 0.92(0.81,1.04) | 0.92(0.81,1.04) | 0.92(0.76,1.10) |
Lag 0~3 | 0.95(0.77,1.16) | 1.00(0.88,1.14) | 1.04(0.91,1.19) | 0.88(0.72,1.08) |
Lag 0~7 | 1.14(0.89,1.45) | 1.15(0.98,1.34) | 1.18(1.01,1.38) | 1.10(0.87,1.39) |
Lag 0~14 | 1.22(0.92,1.62) | 1.39(1.16,1.67) | 1.35(1.12,1.62) | 1.35(1.03,1.78) |
Lag 0~21 | 1.20(0.87,1.65) | 1.35(1.10,1.65) | 1.38(1.13,1.70) | 1.17(0.86,1.60) |
Table 4 Lagged days of the impact of low ambient temperature on stroke mortality in Pudong New Area by age and education attainment
滞后期(d) | 年龄 | 文化水平 | ||
---|---|---|---|---|
<75岁 | ≥75岁 | 小学及以下 | 中学及以上 | |
Lag 0 | 0.83(0.67,1.03) | 0.74(0.65,0.86) | 0.77(0.67,0.89) | 0.77(0.62,0.95) |
Lag 0~1 | 0.90(0.74,1.09) | 0.92(0.81,1.04) | 0.92(0.81,1.04) | 0.92(0.76,1.10) |
Lag 0~3 | 0.95(0.77,1.16) | 1.00(0.88,1.14) | 1.04(0.91,1.19) | 0.88(0.72,1.08) |
Lag 0~7 | 1.14(0.89,1.45) | 1.15(0.98,1.34) | 1.18(1.01,1.38) | 1.10(0.87,1.39) |
Lag 0~14 | 1.22(0.92,1.62) | 1.39(1.16,1.67) | 1.35(1.12,1.62) | 1.35(1.03,1.78) |
Lag 0~21 | 1.20(0.87,1.65) | 1.35(1.10,1.65) | 1.38(1.13,1.70) | 1.17(0.86,1.60) |
滞后期(d) | 年龄 | 文化水平 | ||
---|---|---|---|---|
<75岁 | ≥75岁 | 小学及以下 | 中学及以上 | |
Lag 0 | 1.14(0.89,1.46) | 1.14(0.97,1.34) | 1.10(0.94,1.30) | 1.21(0.95,1.54) |
Lag 0~1 | 1.13(0.92,1.40) | 1.31(1.14,1.51) | 1.35(1.17,1.56) | 1.07(0.87,1.32) |
Lag 0~3 | 0.90(0.73,1.12) | 1.11(0.97,1.28) | 1.13(0.98,1.30) | 0.88(0.72,1.08)a |
Lag 0~7 | 0.86(0.68,1.08) | 0.99(0.85,1.16) | 0.96(0.83,1.13) | 0.92(0.73,1.16) |
Lag 0~14 | 0.88(0.67,1.15) | 0.84(0.70,1.00) | 0.83(0.69,0.99) | 0.89(0.68,1.16) |
Lag 0~21 | 0.78(0.57,1.08) | 0.83(0.68,1.02) | 0.77(0.63,0.95) | 0.92(0.67,1.26) |
Table 5 Lagged days of the impact of high ambient temperature on stroke mortality in Pudong New Area by age and education attainment
滞后期(d) | 年龄 | 文化水平 | ||
---|---|---|---|---|
<75岁 | ≥75岁 | 小学及以下 | 中学及以上 | |
Lag 0 | 1.14(0.89,1.46) | 1.14(0.97,1.34) | 1.10(0.94,1.30) | 1.21(0.95,1.54) |
Lag 0~1 | 1.13(0.92,1.40) | 1.31(1.14,1.51) | 1.35(1.17,1.56) | 1.07(0.87,1.32) |
Lag 0~3 | 0.90(0.73,1.12) | 1.11(0.97,1.28) | 1.13(0.98,1.30) | 0.88(0.72,1.08)a |
Lag 0~7 | 0.86(0.68,1.08) | 0.99(0.85,1.16) | 0.96(0.83,1.13) | 0.92(0.73,1.16) |
Lag 0~14 | 0.88(0.67,1.15) | 0.84(0.70,1.00) | 0.83(0.69,0.99) | 0.89(0.68,1.16) |
Lag 0~21 | 0.78(0.57,1.08) | 0.83(0.68,1.02) | 0.77(0.63,0.95) | 0.92(0.67,1.26) |
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
陈亦晨,曲晓滨,孙良红,等. 2002—2019年上海市浦东新区居民肝癌死亡特征及减寿率分析[J]. 中国全科医学,2021,24(12):1517-1522. DOI:10.12114/j.issn.1007-9572.2021.00.116.
|
[8] |
谷少华. 宁波市气温和空气污染对人群死亡的交互影响[D]. 北京:中国疾病预防控制中心,2015.
|
[9] |
王金玉,李盛,李普,等. 2014—2017年兰州市气温与死亡人数关系的时间序列研究[J]. 环境与职业医学,2018,35(12):1076-1082. DOI:10.13213/j.cnki.jeom.2018.18477.
|
[10] |
|
[11] |
|
[12] |
|
[13] |
张书余,马守存,周骥,等. 模拟寒潮对高血压疾病影响机理的实验研究[J]. 气象,2013,39(6):789-793. DOI:10.7519/j.issn.1000-0526.2013.06.016.
|
[14] |
|
[15] |
安吉,郭默宁,谭鹏,等. 基于分布滞后非线性模型评估气温对北京市居民缺血性脑卒中入院人数的影响[J]. 环境与职业医学,2020,37(5):486-491. DOI:10.13213/j.cnki.jeom.2020.19882.
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
唐嘉阳,任宇,杨晓虹,等. 成都市某区居民健康素养水平及影响因素分析[J]. 现代预防医学,2021,48(1):123-127.
|
[23] |
许丽娜,熊依杰,李海生,等. 2018年北京市海淀区15~69岁居民健康素养水平及人口经济影响因素[J]. 卫生研究,2020,49(5):738-743. DOI:10.19813/j.cnki.weishengyanjiu.2020.05.007.
|
[1] | QIN Fengyin, ZHANG Qishan, LAI Jinjia, HUANG Yimin, HAN Guoyin, SUN Xinglan, WANG Fen, TAN Yibing. Current Status and Influencing Factors of the Intention to Screen for High-risk Stroke among Community Residents in Guangdong [J]. Chinese General Practice, 2023, 26(34): 4283-4289. |
[2] | SU Kaiqi, LYU Zhuan, WU Mingli, LUO Meng, GAO Jing, NIE Chenchen, LIU Hao, FENG Xiaodong. Effect of Electroacupuncture on BDNF/TrkB/PI3K/Akt Pathway and Hippocampal Neuronal Protection in Rats with Learning and Memory Impairment after Ischemia Reperfusion [J]. Chinese General Practice, 2023, 26(33): 4187-4193. |
[3] | YIN Miaomiao, CUI Liling, LI Yaqing, WANG Liqun, ZHANG Yue, WU Jialing. Effect of Dual Task on Walking Ability in Posterior Circulation Ischemic Stroke Patients with Vestibular Symptoms [J]. Chinese General Practice, 2023, 26(33): 4207-4212. |
[4] | WANG Yu, CHEN Yan, HAN Yuanyuan, XU Qing, CHEN Shengyue, LYU Zhibo, LU Chuan, ZHENG Mingxin, ZHAO Xin. Platelet-lymphocyte Ratio Predicts In-hospital Mortality in Elderly Patients with Acute Myocardial Infarction [J]. Chinese General Practice, 2023, 26(33): 4137-4142. |
[5] | JIAN Qiufeng, XU Ronghua, YAO Qian, ZHOU Yuanyuan. A Meta-analysis of the Prevalence and Influencing Factors of Post-stroke Cognitive Impairment in Chinese Elderly Patients [J]. Chinese General Practice, 2023, 26(32): 4070-4079. |
[6] | YANG Yuxuan, ZHANG Han, DU Juan, WANG Lingling, XIE Yulei, YIN Kaiming, ZHANG Bo. Value of an Dynamic Eye-tracking Task in Assessing Unilateral Spatial Neglect after Stroke [J]. Chinese General Practice, 2023, 26(32): 4020-4025. |
[7] | CHEN Xi, ZHANG Juan, LI Lin, ZHANG Jiaqi, WU Yaoli, GUO Hui, WANG Chaoqun. Association between Physical Activity and Risk of All-cause Mortality in Middle-aged and Elderly People in China: a Prospective Cohort Study [J]. Chinese General Practice, 2023, 26(31): 3890-3895. |
[8] | ZHANG Dongli, SHEN Chong, ZHANG Weichuan, CHEN Haibin, ZHAO Jianjun. Efficacy and Safety of Programmed Death-1/Programmed Death-1 Ligand Inhibitors in the Treatment of Renal Cell Cancer: a Meta-analysis [J]. Chinese General Practice, 2023, 26(30): 3815-3822. |
[9] | ZHU Lin, GUO Yankui, GAO Chen, CHEN Xuezhi, WANG Fashuai. Efficacy of Western Medicine, Chinese Patent Medicine and Their Combination on Post-stroke Insomnia: a Network Meta-analysis [J]. Chinese General Practice, 2023, 26(30): 3823-3832. |
[10] | XIAO Yuqian, BAI Yanjie, WANG Yan, CHEN Shuying, CHEN Limin, SUN Kexin, WAN Jun. Research Progress of Mitochondrial Transfer in Post-stroke Cognitive Impairment [J]. Chinese General Practice, 2023, 26(30): 3833-3840. |
[11] | LIU Yue, LIU Qi, DONG Hui, LIU Yaling. Neuropsychological Changes of Cognitive Reverters after Stroke Based on the Montreal Cognitive Assessment (MoCA) with a Double Threshold [J]. Chinese General Practice, 2023, 26(27): 3417-3422. |
[12] | ZHENG Siting, HE Chunyu, ZHOU Jun, KONG Ye, YANG Xinyao, ZHOU Haiying, WEI Xiaofei. Summary of Best Evidence for Self-Management of Patients with Motor Dysfunction after Stroke [J]. Chinese General Practice, 2023, 26(26): 3230-3237. |
[13] | Expert group of expert consensus on the application of ulinastatin in common clinical critical illness. Expert Consensus on the Application of Ulinastatin in Common Clinical Critical Illness [J]. Chinese General Practice, 2023, 26(26): 3207-3219. |
[14] | WANG Xiaowen, XIAO Tongling, WANG Yi, YANG Ying, XIA Xiaoshuang, LI Xin. Relationship between Homocysteine Level and Acute Kidney Injury in Patients with Acute Ischemic Stroke [J]. Chinese General Practice, 2023, 26(26): 3290-3296. |
[15] | DU Yuying, WANG Cailing, CUI Senlin, LEI lei, WANG Yanping, SONG Xueqin, HAN Shuqin, ZHANG Yanmei, WANG Baolan, HUANG Haixia, CHEN Mi, YAN Huirong, LI Dong, ZHANG Jingjing, REN Yu. Analysis of Appropriate Technology Promotion for Stroke Rehabilitation in Southern Xinjiang [J]. Chinese General Practice, 2023, 26(25): 3178-3184. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||