[巴塞罗那Covid-19发病率的社会决定因素:利用公共数据进行的初步生态研究]。

IF 0.9 4区 医学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Revista Espanola De Salud Publica Pub Date : 2020-09-16
Miquel Amengual-Moreno, Marina Calafat-Caules, Aina Carot, Ana Rita Rosa Correia, Clàudia Río-Bergé, Jana Rovira Plujà, Clàudia Valenzuela Pascual, Cèlia Ventura-Gabarró
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引用次数: 0

摘要

目的:社会决定因素和健康不平等对人口健康有着巨大影响。研究这些因素在 Covid-19 流行病管理中的作用非常重要,尤其是在城市中,因为某些变量,如检测次数和医疗系统的使用,不能被认为是平等的。本研究旨在确定社会决定因素与巴塞罗那市 Covid-19 发病率的关系:方法:根据巴塞罗那公共卫生局 2020 年 5 月 14 日公布的累积发病率数据,以社区为人口单位,开展了一项观察性回顾生态研究。通过多变量广义线性模型(GLM)估算了发病率与所选变量(年龄、性别、净密度、移民、合并症、吸烟者、体重指数[BMI]和每个家庭可用收入指数[AIFI])之间的皮尔逊线性相关性以及相关性:结果发现,属于收入最低五分位数的社区比属于收入最高五分位数的社区发病率高出 42%:每 10 万居民中有 942 例,而最高五分位数每 10 万居民中有 545 例。Covid-19 发病率与 75 岁以上人口比例(r=0.487)、社区移民比例和移民来源(r=-0.257)、AIFI(r=-0.462)、吸烟者比例(r=0.243)和体重指数超过 25 的人口比例(r=0.483)之间的皮尔逊相关性具有统计学意义。GLM 显示,与发病率最相关的变量是 75 岁以上人群的百分比(Z-score=0.258)、马格里布(Z-score=-0.206)和拉丁美洲(Z-score=0.19)人群的百分比以及体重指数超过 25 的人群的百分比(Z-score=0.334)。GLM 的结果具有显著性:结论:社会决定因素与巴塞罗那各社区 Covid-19 发病率的变化相关,BMI 超过 25 的发病率和移民及其来源的比例与此特别相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Social determinants of the incidence of Covid-19 in Barcelona: a preliminary ecological study using public data.]

Objective: Social determinants and health inequalities have a huge impact on health of populations. It is important to study their role in the management of the Covid-19 epidemic, especially in cities, as certain variables like the number of tests and the access to health system cannot be assumed as equal. The aim of this work was to determine the relation of social determinants in the incidence of Covid-19 in the city of Barcelona.

Methods: An observational retrospective ecological study was performed, with the neighbourhood as the population unit, based on data of cumulative incidence published at May 14th, 2020 by the Public Health Agency of Barcelona. Covid-19 incidence disparities depending on the income of the neighbourhoods, the Pearson linear correlation of the variables selected (age, sex, net density, immigrants, comorbidities, smokers, Body Mass Index [BMI] and Available Income per Family Index [AIFI]) with the incidence and the correlation with a multivariant Generalized Linear Model (GLM) were estimated.

Results: It was found that neighbourhoods belonging to the lowest quintile of income had a 42% more incidence than those belonging to the highest quintile: 942 cases per 100,000 inhabitants versus 545 per 100,000 inhabitants of the highest quintile. The Pearson correlation was statistically significative between the incidence of Covid-19 and the percentage of population over 75 (r=0.487), the percentage of immigration of the neighbourhood and the origin of the immigrants (r=-0.257), the AIFI (r=-0.462), the percentage of smokers (r=0.243) and the percentage of people with BMI over 25 (r=0.483). The GLM showed that the most correlated variables with the incidence are the percentage of people over 75 (Z-score=0.258), the percentage of people from Maghreb (Z-score=-0.206) and Latin America (Z-score=0.19) and the percentage of people with BMI over 25 (Z-score=0.334). The results of the GLM were significative.

Conclusions: Social determinants are correlated with the modification of the incidence of Covid-19 in the neighbourhoods of Barcelona, with special relevance of the prevalence of BMI over 25 and the percentage of immigrants and its origin.

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来源期刊
Revista Espanola De Salud Publica
Revista Espanola De Salud Publica PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
2.00
自引率
0.00%
发文量
106
审稿时长
12 weeks
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