2017年越南中部高原边境地区成人多病患病率及相关因素

Journal of comorbidity Pub Date : 2019-05-29 eCollection Date: 2019-01-01 DOI:10.1177/2235042X19853382
Nguyen Van Ba, Hoang Van Minh, Le Bach Quang, Nguyen Van Chuyen, Bui Thi Thu Ha, Tran Quoc Dai, Duong Minh Duc, Nguyen Thuy Quynh, Pham Gia Khanh
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引用次数: 9

摘要

本研究的目的是估计2017年越南中部高原地区(贫困地区)成年人多病(MM)的患病率,并确定这些疾病的社会人口学相关性。方法:我们使用了2018年对越南中部高地地区(Tay Nguyen)四个省份的人们健康状况进行的横断面研究的数据。本研究随机选取了1680名年龄在15岁及以上的成年人。被调查者被问及他们是否被卫生工作者告知他们患有癌症、心脏和循环系统疾病、慢性关节问题、慢性肺病、慢性肾脏问题、慢性消化问题、心理疾病、糖尿病和/或其他慢性疾病。结果:研究参与者中MM的患病率为16.4%(95%可信区间(CI): 14.6%-18.2%)。通过观察95% ci,按性别、年龄、教育程度和职业分类的组间MM患病率差异无统计学意义。只有农民与政府工作人员MM患病率差异有统计学意义。结论:mm在研究区成人人群中相当普遍,特别是在社会经济地位较低的人群中。鉴于这些证据,采取行动降低该地区的MM水平显然迫在眉睫。干预措施应针对社会上的所有人,重点关注弱势群体,如受教育程度较低的群体和农民。
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 correlates of multimorbidity among adults in border areas of the Central Highland Region of Vietnam, 2017.

Prevalence and correlates of multimorbidity among adults in border areas of the Central Highland Region of Vietnam, 2017.

Prevalence and correlates of multimorbidity among adults in border areas of the Central Highland Region of Vietnam, 2017.

Prevalence and correlates of multimorbidity among adults in border areas of the Central Highland Region of Vietnam, 2017.

Introduction: The objectives of this study are to estimate the prevalence of multimorbidity (MM) among adults in the Central Highland Region (a poor region) of Vietnam in 2017 and to identify the sociodemographic correlates of these conditions.

Methods: We used data from a cross-sectional study conducted in 2018 on health status among people in four provinces in the Central Highlands Region (Tay Nguyen) of Vietnam. A sample of 1680 adults (aged 15 years and older) were randomly selected for this study. Respondents were asked whether they had been told by a health worker that they had cancer, heart and circulatory conditions, chronic joint problems, chronic pulmonary diseases, chronic kidney problems, chronic digestive problems, psychological illness, diabetes, and/or other chronic conditions.

Results: The prevalence of MM among the study participants was 16.4% (95% confidence interval (CI): 14.6%-18.2%). By looking at the 95% CIs, the differences in MM prevalence between the groups classified by gender, age, education, and occupation were not statistically significant. Only the difference in MM prevalence between farmers and government staff was statistically significant. Multivariate logistic analyses show education and occupations were shown to be significant correlates of MM.

Conclusion: MMs were quite common among the adult populations in the study area, especially among people with lower socioeconomic status. Given the evidence, actions to reduce levels of MM in the setting are clearly urgent. The interventions should address all people in society, with focus on disadvantaged groups, like those with lower education and farmers.

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