第一波大流行期间东伦敦的收入、种族多样性和家庭生活:资产方法

C. Cameron, M. O'Brien, Lydia Whitaker, K. Hollingworth, Hanan Hauari
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引用次数: 3

摘要

目的:本文报告了一项针对992名父母和父母的调查的初步结果,这些父母和父母在冠状病毒大流行期间生活在东伦敦一个种族多样化和社会经济不平等的自治市镇,该市镇减少了流动性,关闭了服务,威胁了公共卫生。背景:人们对大流行对有幼儿的家庭的地方性影响知之甚少。我们描述了2020年冠状病毒大流行期间居住在Tower Hamlets的有五岁以下儿童或即将出生的家庭的生活情况,然后研究了种族和家庭收入等家庭特征对调查受访者的不利影响的相对重要性,如心理健康结果所示。方法:在地方议会的支持下进行的社区调查样本包括75%的母亲/孕妇,25%的父亲/孕妇的伴侣。根据该区人口的情况,35%是英国白人或爱尔兰人,36%是孟加拉国人,其余的人来自各种不同的种族背景。采用基于资产的方法,我们用三个家庭收入等级和七个民族来描述物质、家庭和社区资产。然后我们使用回归来确定哪些资产在减轻逆境中是最重要的。结果:我们发现物质资产(收入、就业、食品不安全、住房质量)往往不安全且在下降,但家庭资产(家庭护理实践、夫妻关系)在很大程度上是持续的。社区资产(非正式支助、提供服务)的可得性较低或获得的方式已发生变化。我们的分析发现,虽然大流行对家庭生活的影响具有描述性的种族结构,但从心理健康状况来看,收入和夫妻关系是减轻逆境的最重要资产。结论:支持家庭资产需要密切关注在当地创造体面的工作,并增加获得社区资产的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Income, ethnic diversity and family life in East London during the first wave of the pandemic: An assets approach
Objective: This paper reports first results from a survey of 992 parents and parents to be living in an ethnically diverse and socio-economically unequal borough of East London during the coronavirus pandemic that reduced mobility, closed services and threatened public health. Background: Little is known about the place based impacts of the pandemic on families with young children. We describe the living circumstances of families with children under five or expecting a baby living in Tower Hamlets during the Coronavirus pandemic in 2020, and then examine the relative importance of household characteristics such as ethnicity and household income for adverse impacts on survey respondents, as seen in mental health outcomes. Method: a community survey sample recruited with support from the local council comprised 75% mothers/pregnant women, 25% fathers/partners of pregnant women. Reflecting the borough population, 35 percent were White British or Irish and 36 percent were Bangladeshi, and the remainder were from a wide range of ethnic backgrounds. Adopting an assets based approach, we describe material, familial and community assets using three household income bands and seven ethnic groups. We then use regressions to identify which assets were most important in mitigating adversity. Results: We find that material assets (income, employment, food insecurity, housing quality) were often insecure and in decline but familial assets (home caring practices, couple relationships) were largely sustained. Community assets (informal support, service provision) were less available or means of access had changed. Our analyses find that while descriptively ethnicity structured adverse impacts of the pandemic related changes to family life, income and couple relationships were the most important assets for mitigating adversity as seen in mental health status. Conclusion: Supporting family assets will require close attention to generating local and decent work as well as enhancing access to community assets.
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