印度中风患者的生活方式风险因素分布:系统回顾与元分析。

IF 1.8 Q4 NEUROSCIENCES Annals of Neurosciences Pub Date : 2023-01-01 Epub Date: 2022-08-08 DOI:10.1177/09727531221115899
Biji P Varkey, Jaison Joseph, Abin Varghese, Suresh K Sharma, Elezebeth Mathews, Manju Dhandapani, Venkata Lakshmi Narasimha, Radha Kuttan, Saleena Shah, Surekha Dabla, Sivashanmugam Dhandapani
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引用次数: 0

摘要

背景:印度的中风负担日益加重,但人们对印度环境中报告的风险因素分布了解有限。摘要:本研究的目的是估计印度中风患者生活方式风险因素的总体比例。我们检索了 PubMed 和 Google Scholar,纳入了截至 2022 年 2 月发表的相关研究。荟萃分析中的研究选择标准考虑了偏倚风险评估。发表偏倚通过漏斗图和 Egger 检验进行评估。我们在系统综述中确定了 61 项研究,经过质量评估后,纳入了 36 项研究进行荟萃分析。由于纳入的研究之间存在显著的不一致性(I2>97%),因此采用了随机效应模型。参与者的平均年龄为(53.84±9.3)岁,脑卒中患者主要为男性(64%)。高血压(56.69%;95% CI:- 48.45 - 64.58)、肥胖(36.61%;95% CI:- 19.31 - 58.23)、血脂异常(30.6%;95% CI:- 22 - 40.81)和糖尿病(23.8%;95% CI:- 18.79 - 29.83)是与中风相关的主要中间疾病。据报道,在这种情况下,缺乏运动(29.9%;95% CI:- 22.9 - 37.1)、吸烟史(28.59%;95% CI:- 22.22 - 32.94)和饮酒(28.15%;95% CI:- 20.49 - 37.33)是中风的行为风险因素:当前的荟萃分析基于 1994 年至 2019 年开展的观察性研究,对印度与生活方式相关的中风风险因素进行了可靠的估计。估计中风风险因素的汇总分析对于预测该疾病所带来的负担以及确定在这种情况下控制可改变风险因素的治疗和预防策略至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The Distribution of Lifestyle Risk Factors Among Patients with Stroke in the Indian Setting: Systematic Review and Meta-Analysis.

Background: The burden of stroke is increasing in India, but there is limited understanding of the distribution of reported risk factors in the Indian setting. It is vital to generate robust data on these modifiable risk factors to scale up appropriate strategies for the prevention of cerebrovascular diseases in this setting.

Summary: The objective of this study is to estimate the overall proportion of life style risk factors of patients with stroke in the Indian setting. We searched PubMed and Google Scholar and relevant studies published till February 2022 were included. The risk of bias assessment was considered for the study selection criterion in the meta-analysis. The publication bias was evaluated by funnel plots and Egger's test. We identified 61 studies in the systematic review and after quality assessment, 36 studies were included for meta-analysis. Random effect model was used due to the significant inconsistency among the included studies (I2 > 97%). The mean age of the participants was 53.84±9.3 years and patients with stroke were predominantly males (64%). Hypertension (56.69%; 95% CI: - 48.45 - 64.58), obesity (36.61%; 95% CI: - 19.31 - 58.23), dyslipidemia (30.6%; 95% CI: - 22 - 40.81) and diabetes mellitus (23.8%; 95% CI: - 18.79 - 29.83) are the leading intermediate conditions associated with stroke. The Physical inactivity - 29.9% (95% CI: - 22.9 - 37.1), history of tobacco use (28.59 %; 95% CI: - 22.22 - 32.94) and alcohol use (28.15 %; 95% CI: - 20.49 - 37.33) were reported as the behavioral risk factors for stroke in this setting.

Key messages: The current meta-analysis provides robust estimates of the life style related risk-factor of stroke in India based on the observational studies conducted from 1994 to 2019. Estimating the pooled analysis of stroke risk factors is crucial to predict the imposed burden of the illness and ascertain the treatment and prevention strategies for controlling the modifiable risk factors in this setting.

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Annals of Neurosciences
Annals of Neurosciences NEUROSCIENCES-
CiteScore
2.40
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0.00%
发文量
39
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