Vanessa V Volpe, Abbey Collins, Eric S Zhou, Donte L Bernard, Naila A Smith
{"title":"Online and offline gendered racial microaggressions and sleep quality for Black women.","authors":"Vanessa V Volpe, Abbey Collins, Eric S Zhou, Donte L Bernard, Naila A Smith","doi":"10.1037/hea0001408","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Poor sleep quality affects Black women in the United States. Black young adult women experience stress from gendered racial microaggressions (i.e., subtle unfair treatment from being a Black woman). Studies of exposure to this stressor have focused on in-person contexts (i.e., offline). Yet Black young adults are nearly constantly online. The current study examines the associations between online and offline gendered racial microaggressions and sleep quality.</p><p><strong>Method: </strong>Data came from a convenience sample of Black young adult women (<i>N</i> = 478; ages 18-35) and were collected online in the fall of 2021. Participants completed an online survey in which they self-reported demographics and COVID-19 stress covariates, online and offline exposure to gendered racial microaggressions, and sleep quality. Utilizing linear (outcome: continuous sleep quality score) and logistic (outcome: dichotomized clinically significant poor sleep quality) regression models, we examined direct and vicarious online gendered racial microaggressions.</p><p><strong>Results: </strong>Most participants (67.2%) reported poor sleep quality. More offline gendered racism (β = .14) and vicarious online gendered racism (β = .14) were each uniquely associated with poorer sleep quality. However, only exposure to vicarious online gendered racism was uniquely associated with a 33% increased odds of clinically relevant poor sleep quality (95% confidence interval [1.09, 1.63]).</p><p><strong>Conclusions: </strong>Offline and online gendered racial microaggressions are stressors with sleep quality implications. Vicarious online gendered racial microaggressions are uniquely associated with lower sleep quality and therefore may be a new avenue for future research and intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/hea0001408","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Poor sleep quality affects Black women in the United States. Black young adult women experience stress from gendered racial microaggressions (i.e., subtle unfair treatment from being a Black woman). Studies of exposure to this stressor have focused on in-person contexts (i.e., offline). Yet Black young adults are nearly constantly online. The current study examines the associations between online and offline gendered racial microaggressions and sleep quality.
Method: Data came from a convenience sample of Black young adult women (N = 478; ages 18-35) and were collected online in the fall of 2021. Participants completed an online survey in which they self-reported demographics and COVID-19 stress covariates, online and offline exposure to gendered racial microaggressions, and sleep quality. Utilizing linear (outcome: continuous sleep quality score) and logistic (outcome: dichotomized clinically significant poor sleep quality) regression models, we examined direct and vicarious online gendered racial microaggressions.
Results: Most participants (67.2%) reported poor sleep quality. More offline gendered racism (β = .14) and vicarious online gendered racism (β = .14) were each uniquely associated with poorer sleep quality. However, only exposure to vicarious online gendered racism was uniquely associated with a 33% increased odds of clinically relevant poor sleep quality (95% confidence interval [1.09, 1.63]).
Conclusions: Offline and online gendered racial microaggressions are stressors with sleep quality implications. Vicarious online gendered racial microaggressions are uniquely associated with lower sleep quality and therefore may be a new avenue for future research and intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).