在查托格勒市 BNS Patenga(海军医院)就诊的孟加拉国武装部队政府文职雇员中高血压的患病率及其相关性

Mohammad Nurul Alam, Md Aliuzzaman, Md Khairul Islam, Mehedhi Hasan Shourov
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引用次数: 0

摘要

高血压是多种心血管疾病(CVD)的主要风险因素。我们开展了一项描述性横断面研究,以估计 2023 年 1 月至 6 月期间在孟加拉国查托格勒市 BNS Patenga(海军医院)报到的孟加拉国武装部队政府公务员中高血压的患病率及其风险因素。参与研究的人员年龄在 25-60 岁之间,均为孟加拉国武装部队在查托格勒地区工作的政府公务员。本研究采用多阶段随机抽样法。采用修改后的 WHO-STEPS 方案收集了有关年龄、性别、吸烟习惯、久坐不动的生活方式、肥胖、糖尿病、血脂异常、体力活动、饮食、额外用盐量、高血压家族史、心血管疾病和脑血管疾病、人体测量和血压的数据。高血压是根据 JNC-8 指南定义的。采用多重逻辑回归模型确定与高血压相关的风险因素。通过面对面访谈和查阅病历,分别使用半结构化问卷和核对表收集数据。数据采用 SPSS 19.0 版进行分析。共有 150 人参与了研究(男性 128 人,女性 22 人)。研究人群中,17%患有高脂血症,32%摄入高热量饮食,15%超重,20%有吸烟习惯,17%在压力环境中工作,57%久坐不动,19%有高血压家族史。在 150 名参与者中,经年龄调整后的高血压总体患病率为 27%,男性高于女性(男性为 25%,女性为 2%)。二元分析表明,高血压与年龄、体重指数、缺乏体育锻炼、吸烟、额外盐摄入量、血脂异常、生活压力、高热量饮食、糖尿病以及中风/心血管疾病、高血压、糖尿病和血脂异常家族史有显著关系。在多变量模型中,与高血压明显相关的因素是年龄较大(33%)、吸烟(26%)、额外盐摄入量(35%)和高腰围(36%)。在我们的研究参与者中,高血压的发病率很高。基于人群的干预计划和政策,提高对风险因素的认识,改变生活方式,对于预防高血压至关重要。 CBMJ 2024 年 1 月:第 13 卷第 01 期 P: 17-21
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence and Association of Hypertension among the Government Civil Employees of Bangladesh Armed Forces Attending BNS Patenga (Navy Hospital), Chattogram
Hypertension is a major risk factor for several cardiovascular diseases (CVD). A descriptive, cross-sectional study was conducted to estimate the prevalence of hypertension and its risk factors among the government civil employees of Bangladesh Armed Forces reported to BNS Patenga (Navy Hospital), Chattogram, Bangladesh, between January and June 2023. The study involved participants aged 25-60 years who are government civil employees working in Bangladesh Armed Forces in Chattogram area. This study was done using multi-stage random sampling. Data on age, gender, smoking habits, sedentary lifestyle, obesity, diabetes, dyslipidemia, physical activity, diet, extra salt use, family history of hypertension, cardiovascular disease and cerebrovascular disease, anthropometric measurements and blood pressure were collected using modified WHO-STEPS protocol. Hypertension was defined according to JNC-8 guidelines. Multiple logistic regressions models were used to identify risk factors associated with hypertension. Data were collected with semi-structured questionnaire and checklist by face-to-face interview and reviewing medical records respectively. Data were analyzed by SPSS version 19.0. A total of 150 participated (128 male and 22 female). Among the study population, 17% had hyperlipidemia, 32% consume high caloric diet, 15% were overweight, 20% had smoking habit, 17% were working in stressful environment, 57% were sedentary worker, 19% having family history of hypertension. The overall age-adjusted prevalence hypertension among 150 participants was 27%, which was higher among males compared to females (25% in contrast to 2%). Bivariate analysis showed significant relationship of hypertension with age, BMI, no physical activity, tobacco use, extra salt intake, dyslipidaemia, stressful life, high calorie diet, diabetes, and family history of stroke/cardiovascular disease, hypertension, diabetes and dyslipidaemia. In the multivariate model, factors significantly associated with hypertension were older age (33%), smoking (26%), extra salt intake (35%), and high waist circumference (36%). The prevalence of hypertension was high among our study participants. Population-based intervention programs and policies for increased awareness about the risk factors, and life-style modification are essential for prevention of hypertension.   CBMJ 2024 January: vol. 13 no. 01 P: 17-21
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