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南非高血压建模:面板分位数回归的应用。

Modelling of South African Hypertension: Application of Panel Quantile Regression.

机构信息

Department of Social Epidemiology and Health Policy, University of Antwerp, 2610 Antwerp, Belgium.

Statistical Consultation Services, University of Johannesburg, Johannesburg 2006, South Africa.

出版信息

Int J Environ Res Public Health. 2022 May 10;19(10):5802. doi: 10.3390/ijerph19105802.

DOI:10.3390/ijerph19105802
PMID:35627337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9141596/
Abstract

Hypertension is one of the crucial risk factors for morbidity and mortality around the world, and South Africa has a significant unmet need for hypertension care. This study aims to establish the potential risk factors of hypertension amongst adults in South Africa attributable to high systolic and diastolic blood pressure over time by fitting panel quantile regression models. Data obtained from the South African National Income Dynamics Study (NIDS) Household Surveys carried out from 2008 to 2018 (Wave 1 to Wave 5) was employed to develop both the fixed effects and random effects panel quantile regression models. Age, BMI, gender (males), race, exercises, cigarette consumption, and employment status were significantly associated with either one of the BP measures across all the upper quantiles or at the 75th quantile only. Suggesting that these risk factors have contributed to the exacerbation of uncontrolled hypertension prevalence over time in South Africa.

摘要

高血压是全球发病率和死亡率的关键危险因素之一,南非在高血压治疗方面存在巨大的未满足需求。本研究旨在通过拟合面板分位数回归模型,确定南非成年人高血压的潜在危险因素,这些危险因素可归因于收缩压和舒张压随时间升高。本研究使用了 2008 年至 2018 年(第 1 波至第 5 波)进行的南非国家收入动态研究(NIDS)家庭调查的数据,以开发固定效应和随机效应面板分位数回归模型。年龄、BMI、性别(男性)、种族、运动、吸烟和就业状况与所有上四分位数或仅第 75 分位数的一个或多个 BP 测量值显著相关。这表明这些危险因素导致了南非高血压患病率在一段时间内的失控加剧。

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本文引用的文献

1
Mapping the Burden of Hypertension in South Africa: A Comparative Analysis of the National 2012 SANHANES and the 2016 Demographic and Health Survey.绘制南非高血压负担图:2012 年南非国家健康与营养调查与 2016 年人口与健康调查的比较分析。
Int J Environ Res Public Health. 2021 May 19;18(10):5445. doi: 10.3390/ijerph18105445.
2
Cross-Sectional Studies: Strengths, Weaknesses, and Recommendations.横断面研究:优势、劣势与建议。
Chest. 2020 Jul;158(1S):S65-S71. doi: 10.1016/j.chest.2020.03.012.
3
Cross-sectional study of prevalence and determinants of uncontrolled hypertension among South African adult residents of Mkhondo municipality.横断面研究:姆霍翁多市南非成年居民中未控制高血压的患病率及其决定因素。
BMC Public Health. 2020 Jul 6;20(1):1069. doi: 10.1186/s12889-020-09174-7.
4
The rising burden of non-communicable diseases in sub-Saharan Africa.撒哈拉以南非洲地区非传染性疾病负担日益加重。
Lancet Glob Health. 2019 Oct;7(10):e1295-e1296. doi: 10.1016/S2214-109X(19)30370-5.
5
Hypertension in a rural community in South Africa: what they know, what they think they know and what they recommend.南非一个农村社区的高血压情况:他们所知道的、他们自认为知道的以及他们给出的建议。
BMC Public Health. 2019 Mar 25;19(1):341. doi: 10.1186/s12889-019-6642-3.
6
Prevalence of Primary Hypertension and Risk Factors in Grade XII Learners in KwaZulu-Natal, South Africa.南非夸祖鲁 - 纳塔尔省十二年级学生原发性高血压患病率及危险因素
Int J Hypertens. 2018 Jul 2;2018:3848591. doi: 10.1155/2018/3848591. eCollection 2018.
7
Prevalence and Associated Risk Factors of Hypertension: A Cross-Sectional Study in Urban Varanasi.高血压的患病率及相关危险因素:瓦拉纳西市城区的一项横断面研究
Int J Hypertens. 2017;2017:5491838. doi: 10.1155/2017/5491838. Epub 2017 Dec 3.
8
Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012.通过护理流程量化南非高血压护理未满足的需求:来自2011 - 2012年南非全国健康与营养检查调查(SANHANES)的证据
BMJ Glob Health. 2017 Aug 16;2(3):e000348. doi: 10.1136/bmjgh-2017-000348. eCollection 2017.
9
The life-course impact of smoking on hypertension, myocardial infarction and respiratory diseases.吸烟对高血压、心肌梗死和呼吸系统疾病的终身影响。
Sci Rep. 2017 Jun 28;7(1):4330. doi: 10.1038/s41598-017-04552-5.
10
Prevalence, Treatment, and Control Rates of Conventional and Ambulatory Hypertension Across 10 Populations in 3 Continents.三大洲10个人群中传统高血压和动态血压的患病率、治疗率及控制率
Hypertension. 2017 Jul;70(1):50-58. doi: 10.1161/HYPERTENSIONAHA.117.09188. Epub 2017 May 8.