The impact of potentially modifiable risk factors for stroke in a middle-income area of China: A case-control study.

The impact of potentially modifiable risk factors for stroke in a middle-income area of China: A case-control study.
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DOI:
10.3389/fpubh.2022.815579
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发表时间:
2022
影响因子:
5.2
通讯作者:
Yan, Wei
Yan, Wei
中科院分区:
医学3区
文献类型:
--
作者:
Wu, Yuhang;Chen, Xiaoyun;Hu, Songbo;Zheng, Huilie;Chen, Yiying;Liu, Jie;Xu, Yan;Chen, Xiaona;Zhu, Liping;Yan, Wei

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揭示11个危险因素对脑卒中的影响,并提供预防潜力的估计。我们在中等收入地区江西完成了一项多中心病例对照研究。所有病例均行神经影像学检查。对照组是从病例集中区社区招募的无卒中成年人。采用条件Logistic回归和非条件Logistic回归分别对脑卒中类型进行亚组分析,对其他组(性别、年龄、城乡)进行分析。计算比值比(OR)及其人群归因风险(PAR),95%置信区间。2018年2月至9月,共招募了43,615名参与者(11,735例病例和31,880例对照),其中我们招募了11,729例病例对照对。缺乏身体活动[PAR 69.5%(66.9-71.9%)]和高血压[53.4%(49.8-56.8%)]是脑卒中的两个主要危险因素,其次是高盐摄入[23.9%(20.5-27.3%)]、血脂异常[20.5%(17.1-24.0%)]、肉食[17.5%(14.9-20.4%)]、糖尿病[7.7%(5.9-9.7%)]、心脏原因[5.3%(4.0-6.7%)]、饮酒[4.7%(0.2-10.0%)]和高同型半胱氨酸[4.3%(1.4-7.4%)]。这些因素中有9个与缺血性卒中有关,5个与脑出血有关。总的来说,11个危险因素占所有卒中PAR的59.9%(缺血性卒中:61.0%;脑出血:46.5%),并且在性别(男性:65.5%;女性:62.3%)、年龄(≤55:65.2%; >55:63.5%)和城乡地区(城市:62.2%;县:65.7%)之间一致。确定的11个与脑卒中相关的危险因素将为中等收入地区脑卒中预防的循证规划提供重要参考。迫切需要提高对行为和代谢危险因素的认识、管理和控制,特别是促进体育活动和降低血压。
To reveal the impact of eleven risk factors on stroke and provide estimates of the prevention potential. We completed a multicenter case-control study in Jiangxi, China, a middle-income area. Neuroimaging examination was performed in all cases. Controls were stroke-free adults recruited from the community in the case concentration area. Conditional logistic regression and unconditional logistic regression were used for subgroup analysis of stroke type, and other groups (sex, age and urban-rural area), respectively. Odds ratios (ORs) and their population attributable risks (PARs) were calculated, with 95% confidence intervals. A total of 43,615 participants (11,735 cases and 31,880 controls) were recruited from February to September 2018, of whom we enrolled 11,729 case-control pairs. Physical inactivity [PAR 69.5% (66.9–71.9%)] and hypertension [53.4% (49.8–56.8%)] were two major risk factors for stroke, followed by high salt intake [23.9% (20.5–27.3%)], dyslipidemia [20.5% (17.1–24.0%)], meat-based diet [17.5% (14.9–20.4%)], diabetes [7.7% (5.9–9.7%)], cardiac causes [5.3% (4.0–6.7%)], alcohol intake [4.7% (0.2–10.0%)], and high homocysteine [4.3% (1.4–7.4%)]. Nine of these factors were associated with ischemic stroke, and five were associated with intracerebral hemorrhage. Collectively, eleven risk factors accounted for 59.9% of the PAR for all stroke (ischemic stroke: 61.0%; intracerebral hemorrhage: 46.5%), and were consistent across sex (men: 65.5%; women: 62.3%), age (≤55: 65.2%; >55: 63.5%), and urban-rural areas (city: 62.2%; county: 65.7%). The 11 risk factors associated with stroke identified will provide an important reference for evidence-based planning for stroke prevention in middle-income areas. There is an urgent need to improve awareness, management and control of behavioral and metabolic risk factors, particularly to promote physical activity and reduce blood pressure.
DOI: 10.1159/000441104
发表时间: 2015
期刊: Neuroepidemiology
影响因子: 5.7
作者:
Norrving B;Davis SM;Feigin VL;Mensah GA;Sacco RL;Varghese C
通讯作者: Varghese C
DOI: 10.1161/strokeaha.117.019189
发表时间: 2018-01
期刊: Stroke
影响因子: 8.3
作者:
Jin C;Li G;Rexrode KM;Gurol ME;Yuan X;Hui Y;Ruan C;Vaidya A;Wang Y;Wu S;Gao X
通讯作者: Gao X
DOI: 10.1016/s0140-6736(11)60872-6
发表时间: 2011-08-13
期刊: LANCET
影响因子: 168.9
作者:
Holmes, Michael V.;Newcombe, Paul;Hubacek, Jaroslav A.;Sofat, Reecha;Ricketts, Sally L.;Cooper, Jackie;Breteler, Monique M. B.;Bautista, Leonelo E.;Sharma, Pankaj;Whittaker, John C.;Smeeth, Liam;Fowkes, F. Gerald R.;Algra, Ale;Shmeleva, Veronika;Szolnoki, Zoltan;Roest, Mark;Linnebank, Michael;Zacho, Jeppe;Nalls, Michael A.;Singleton, Andrew B.;Ferrucci, Luigi;Hardy, John;Worrall, Bradford B.;Rich, Stephen S.;Matarin, Mar;Norman, Paul E.;Flicker, Leon;Almeida, Osvaldo P.;van Bockxmeer, Frank M.;Shimokata, Hiroshi;Khaw, Kay-Tee;Wareham, Nicholas J.;Bobak, Martin;Sterne, Jonathan A. C.;Smith, George Davey;Talmud, Philippa J.;van Duijn, Cornelia;Humphries, Steve E.;Price, Jackie F.;Ebrahim, Shah;Lawlor, Debbie A.;Hankey, Graeme J.;Meschia, James F.;Sandhu, Manjinder S.;Hingorani, Aroon D.;Casas, Juan P.
通讯作者: Casas, Juan P.
DOI: 10.1161/strokeaha.114.005208
发表时间: 2014-07
期刊: Stroke
影响因子: 8.3
作者:
Cotlarciuc I;Malik R;Holliday EG;Ahmadi KR;Paré G;Psaty BM;Fornage M;Hasan N;Rinne PE;Ikram MA;Markus HS;Rosand J;Mitchell BD;Kittner SJ;Meschia JF;van Meurs JB;Uitterlinden AG;Worrall BB;Dichgans M;Sharma P;METASTROKE and the International Stroke Genetics Consortium
通讯作者: METASTROKE and the International Stroke Genetics Consortium
1990-2016年中国心血管疾病负担:2016年全球疾病负担研究结果
DOI: 10.1001/jamacardio.2019.0295
发表时间: 2019-04-01
期刊: JAMA CARDIOLOGY
影响因子: 24
作者:
Liu, Shiwei;Li, Yichong;Zhou, Maigeng
通讯作者: Zhou, Maigeng