印度高血压控制状况的预测因素:系统回顾与元分析

Parthibane Sivanantham, Jeyanthi Anandraj, S. Mathan Kumar, Saravanan Essakky, Anurag Gola, Sitanshu Sekhar Kar
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引用次数: 0

摘要

在印度,高血压(HTN)控制状况的预测因素尚未得到很好的了解。这些信息对于决策者和项目经理设计更新的HTN控制策略和实施相关政策和项目至关重要。因此,我们进行了这项荟萃分析,以估计各种因素对印度HTN控制状况的影响。我们系统地检索了PubMed和Embase,检索了2013年4月至2021年3月在印度高血压患者(≥15岁)中发表的观察性研究和基于社区的试验。研究质量采用纽卡斯尔渥太华(NO)量表进行评估。采用随机效应模型进行meta分析。我们使用95%可信区间(CI)的合并优势比(OR)报告了各种因素对控制HTN患病率的影响。在筛选的842项研究中,我们分析了9项研究,其中包括2441名个体。基于NO量表,大多数(90%)的研究具有低偏倚风险。女性(OR 1.78, 95% CI 1.62-1.95)、45岁(OR 1.69, 95% CI 1.44-1.97)和居住在印度城市地区(OR 1.74;95% ci 1.48-2.03)。这些措施在全国不同地区差别很大。很少有研究报告了关于非传染性疾病行为风险因素与HTN控制状况之间关系的数据。我们没有发现非传染性疾病的行为危险因素与HTN控制状态之间存在统计学上的显著差异。为了改善印度的HTN控制,正在进行的/更新的HTN控制规划需要针对男性、15-45岁的人群和农村居民。未来对HTN控制决定因素的研究应报告分类数据,并使用行为风险因素的标准化定义,以提高HTN控制决定因素研究结果的可靠性和全面性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predictors of Control Status of Hypertension in India: A Systematic Review and Meta-analysis

Predictors of Control Status of Hypertension in India: A Systematic Review and Meta-analysis

Predictors of hypertension (HTN) control status have not been well understood in India. This information is crucial for policymakers and program managers to devise newer HTN control strategies and implement relevant policies and programs. Therefore, we undertook this meta-analysis to estimate the effect of various factors on the control status of HTN in India. We systematically searched PubMed and Embase for observational studies and community-based trials published between April 2013 and March 2021 conducted among people (≥ 15 years) with hypertension in India. Quality of studies was assessed using Newcastle Ottawa (NO) scale. Meta-analysis was performed using random effects model. We reported the effect of various factors on the prevalence of controlled HTN using pooled odds ratio (OR) with 95% confidence interval (CI). Of the 842 studies screened, we analyzed nine studies that included 2,441 individuals. Based on the NO scale, majority (90%) of studies had a low risk of bias. The odds of having controlled HTN were significantly higher among women (OR 1.78, 95% CI 1.62–1.95), those aged > 45 years (OR 1.69, 95% CI 1.44–1.97), and those residing in urban parts of India (OR 1.74; 95% CI 1.48–2.03). These measures varied considerably across different regions of the country. Very few studies reported data on the relationship between behavioural risk factors of non-communicable diseases (NCDs) and HTN control status. We did not find any statistically significant differences between behavioural risk factors of NCDs and HTN control status. To improve HTN control in India, the ongoing/newer HTN control programs need to target men, those aged 15–45, and rural residents. Future studies on HTN control determinants should report disaggregated data and use standardized definitions for behavioral risk factors to enhance reliability and comprehensiveness of findings on the determinants of HTN control in future reviews.

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