应用国家特异性全球风险评分来估计孟加拉国绝经后农村妇女未来10年心血管疾病风险及其相关预测因素:一项初级保健机构的横断面研究

Q3 Medicine Lifestyle medicine (Hoboken, N.J.) Pub Date : 2021-03-31 DOI:10.1002/lim2.32
Lingkan Barua, Palash Chandra Banik, Sheikh Mohammed Shariful Islam, Mithila Faruque
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引用次数: 4

摘要

绝经后孟加拉国妇女患心血管疾病(CVD)的风险尚未使用特定国家的工具进行评估。因此,我们建议评估风险,并确定在任何心血管疾病风险评估工具中通常不包括的预测因素。方法:本横断面研究使用国别实验室Globorisk计算器的网络版本来估计在孟加拉国农村地区初级卫生保健中心就诊的265名绝经后妇女患心血管疾病的风险。该中心是有目的地选择的,参与者是使用方便的抽样技术招募的。使用世界卫生组织改进的逐步监测非传染性疾病风险因素调查表收集数据。风险水平采用描述性统计,相关预测因素采用调整后的多元线性回归分析。结果:总体而言,56.7%的受试者被确定为未来心血管疾病事件的“风险”。调整混杂因素后,心血管疾病危险因素包括绝经年龄(β = 0.441, p <0.001)、更年期持续时间(β = 0.603, p <0.001)、无烟烟草使用(β = -1.047, p = 0.003)、添加盐摄入量(β = 1.081, p = 0.002)、腰臀比(β = 0.094, p = 0.03)和舒张压(β = 0.145, p = 0.001)被认为是心血管疾病风险的重要预测因素。结论:这一发现提示在绝经后妇女中进行CVD风险早期检测和控制相关预测因素的筛查。
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Application of country-specific Globorisk score to estimate next 10 years risk of cardiovascular diseases and its associated predictors among postmenopausal rural women of Bangladesh: A cross-sectional study in a primary care setting

Introduction

Risk of cardiovascular disease (CVD) among postmenopausal Bangladeshi women has not yet been evaluated using a country-specific tool. Hence, we prompted to estimate the risk and identify the predictors that were not typically included in any CVD risk assessment tool.

Methods

This cross-sectional study used a web version of country-specific lab-based Globorisk calculator to estimate the risk of CVD among 265 postmenopausal women who visited a primary healthcare centre in a rural area of Bangladesh. The centre was selected purposively and the participants were recruited using a convenient sampling technique. Data were collected using a modified STEP-wise approach to surveillance of non-communicable disease risk factors questionnaire of the World Health Organization. The risk levels were presented using descriptive statistics and the associated predictors were identified using adjusted multiple linear regression analysis.

Results

Overall, 56.7% of the subjects were identified as ‘at risk’ of future CVD events. After adjusting the confounders, CVD risk factors including age of onset of menopause (β = 0.441, p < 0.001), duration of menopause (β = 0.603, p < 0.001), smokeless tobacco use (β = –1.047, p = 0.003), added salt intake (β = 1.081, p = 0.002), waist–hip ratio (β = 0.094, p = 0.03) and diastolic blood pressure (β = 0.145, p = 0.001) were identified as significant predictors of CVD risk.

Conclusion

This finding suggests screening program among postmenopausal women for early detection of CVD risk and efforts to control the associated predictors.

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