The role of government assistance, housing, and employment on postpartum maternal health across income and race: a mixed methods study.

IF 3.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH BMC Public Health Pub Date : 2024-11-21 DOI:10.1186/s12889-024-20745-w
Chelsea L Kracht, Kelsey O Goynes, Madison Dickey, Briasha Jones, Emerson Simeon, Jada Butler, Maryam Kebbe, Kaja Falkenhain, Emily W Harville, Elizabeth F Sutton, Leanne M Redman
{"title":"The role of government assistance, housing, and employment on postpartum maternal health across income and race: a mixed methods study.","authors":"Chelsea L Kracht, Kelsey O Goynes, Madison Dickey, Briasha Jones, Emerson Simeon, Jada Butler, Maryam Kebbe, Kaja Falkenhain, Emily W Harville, Elizabeth F Sutton, Leanne M Redman","doi":"10.1186/s12889-024-20745-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Stressful large-scale events, such as the COVID-19 pandemic and natural disasters, impact birthing individuals' postpartum experiences and their mental health. Resultant changes in government assistance, housing, and employment may further exacerbate these impacts, with differences experienced by varying income levels and races. This study aimed to examine maternal depression and anxiety in postpartum individuals by income and race during a stressful large-scale event, and the mediating role of government assistance, housing, and employment.</p><p><strong>Methods: </strong>An explanatory sequential mixed methods study was conducted (QUANT + QUAL). For aim 1 (quantitative), birthing individuals who delivered during peak pandemic (June 2020 - September 2021) completed questionnaires related to their perinatal experiences and mental health. Macrosystem factors (government assistance, housing, and employment changes) were assessed using the Psychosocial Recommended Measures. The Edinburgh Postnatal Depression Scale (EPDS) and the Generalized Anxiety Disorder-7 (GAD7) assessed depression and anxiety, respectively. Serial linear regression models assessed the relationship between race and income with mental health and macrosystem factors. For aim 2 (qualitative), 40 individuals from the quantitative study balanced by income (low vs. high income) and race (Black vs. White) completed one-on-one semi-structured interviews which were analyzed using thematic analysis.</p><p><strong>Results: </strong>Amongst 1582 birthing individuals, Black individuals had a significantly higher EPDS score compared to White counterparts. Not receiving government assistance, unstable housing, and experiencing various employment changes were all related to worse mental health during stressful large-scale events. In semi-structured interviews, low-income individuals discussed that government assistance helped alleviate a financial and mental burden. Low- and high-income individuals reported varying job changes that impacted their mental health (low-income: job loss, high-income: increased hours).</p><p><strong>Conclusions: </strong>This research spotlights the negative impact of large-scale events most affected both Black and low-income individuals' postpartum mental health, and the role of government assistance, stable housing, and secure employment in helping to alleviate these disparities between income levels.</p>","PeriodicalId":9039,"journal":{"name":"BMC Public Health","volume":"24 1","pages":"3244"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12889-024-20745-w","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Stressful large-scale events, such as the COVID-19 pandemic and natural disasters, impact birthing individuals' postpartum experiences and their mental health. Resultant changes in government assistance, housing, and employment may further exacerbate these impacts, with differences experienced by varying income levels and races. This study aimed to examine maternal depression and anxiety in postpartum individuals by income and race during a stressful large-scale event, and the mediating role of government assistance, housing, and employment.

Methods: An explanatory sequential mixed methods study was conducted (QUANT + QUAL). For aim 1 (quantitative), birthing individuals who delivered during peak pandemic (June 2020 - September 2021) completed questionnaires related to their perinatal experiences and mental health. Macrosystem factors (government assistance, housing, and employment changes) were assessed using the Psychosocial Recommended Measures. The Edinburgh Postnatal Depression Scale (EPDS) and the Generalized Anxiety Disorder-7 (GAD7) assessed depression and anxiety, respectively. Serial linear regression models assessed the relationship between race and income with mental health and macrosystem factors. For aim 2 (qualitative), 40 individuals from the quantitative study balanced by income (low vs. high income) and race (Black vs. White) completed one-on-one semi-structured interviews which were analyzed using thematic analysis.

Results: Amongst 1582 birthing individuals, Black individuals had a significantly higher EPDS score compared to White counterparts. Not receiving government assistance, unstable housing, and experiencing various employment changes were all related to worse mental health during stressful large-scale events. In semi-structured interviews, low-income individuals discussed that government assistance helped alleviate a financial and mental burden. Low- and high-income individuals reported varying job changes that impacted their mental health (low-income: job loss, high-income: increased hours).

Conclusions: This research spotlights the negative impact of large-scale events most affected both Black and low-income individuals' postpartum mental health, and the role of government assistance, stable housing, and secure employment in helping to alleviate these disparities between income levels.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
政府援助、住房和就业对不同收入和种族的产后孕产妇健康的影响:一项混合方法研究。
背景:COVID-19 大流行病和自然灾害等大规模压力事件会影响分娩者的产后经历及其心理健康。随之而来的政府援助、住房和就业方面的变化可能会进一步加剧这些影响,不同收入水平和种族的人所经历的影响也不尽相同。本研究旨在探讨在大规模压力事件中,不同收入和种族的产后妇女的抑郁和焦虑情况,以及政府援助、住房和就业的中介作用:研究采用了解释性顺序混合方法(定量+定性)。对于目的 1(定量),在大流行高峰期(2020 年 6 月至 2021 年 9 月)分娩的产妇填写了与围产期经历和心理健康有关的问卷。宏观系统因素(政府援助、住房和就业变化)使用 "社会心理建议措施 "进行评估。爱丁堡产后抑郁量表(EPDS)和广泛性焦虑症-7(GAD7)分别对抑郁和焦虑进行评估。序列线性回归模型评估了种族和收入与心理健康和宏观系统因素之间的关系。在目的 2(定性)方面,定量研究中的 40 人按收入(低收入与高收入)和种族(黑人与白人)完成了一对一的半结构化访谈,并使用主题分析法对访谈结果进行了分析:在 1582 名分娩者中,黑人的 EPDS 分数明显高于白人。没有获得政府援助、住房不稳定以及经历各种就业变化都与在大规模压力事件中心理健康状况较差有关。在半结构化访谈中,低收入者认为政府援助有助于减轻他们的经济和精神负担。低收入者和高收入者报告了不同的工作变化,这些变化对他们的心理健康产生了影响(低收入者:失业,高收入者:工时增加):本研究强调了对黑人和低收入人群产后心理健康影响最大的大规模事件的负面影响,以及政府援助、稳定的住房和有保障的就业在帮助缓解收入水平之间的差异方面所起的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
BMC Public Health
BMC Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
4.40%
发文量
2108
审稿时长
1 months
期刊介绍: BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
期刊最新文献
Association between intergenerational contact and cognitive function in middle-aged and older Chinese adults: The mediating role of functional disability and depressive symptoms. Evaluating Senegal's COVID-19 surveillance system for early detection and response: lessons from the Keur Massar district, March 03, 2020 to May 31, 2022. Measuring general health literacy using the HLS19-Q12 in specialty consultations in Spain. ''Practices and factors affecting on-site medical equipment maintenance at Wau Teaching Hospital, South Sudan''. Correction: Spatial Markov matrices for measuring the spatial dependencies of an epidemiological spread: case Covid'19 Madagascar.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1