Passively-sensed Behavioral Correlates of Discrimination Events in College Students.

Discrimination Microaggression Mobile Health Mobile Sensing

Journal

Proceedings of the ACM on human-computer interaction
ISSN: 2573-0142
Titre abrégé: Proc ACM Hum Comput Interact
Pays: United States
ID NLM: 101713376

Informations de publication

Date de publication:
Nov 2019
Historique:
entrez: 29 7 2021
pubmed: 1 11 2019
medline: 1 11 2019
Statut: ppublish

Résumé

A deep understanding of how discrimination impacts psychological health and well-being of students could allow us to better protect individuals at risk and support those who encounter discrimination. While the link between discrimination and diminished psychological and physical well-being is well established, existing research largely focuses on chronic discrimination and long-term outcomes. A better understanding of the short-term behavioral correlates of discrimination events could help us to concretely quantify such experiences, which in turn could support policy and intervention design. In this paper we specifically examine, for the first time, what behaviors change and in what ways in relation to discrimination. We use actively-reported and passively-measured markers of health and well-being in a sample of 209 first-year college students over the course of two academic quarters. We examine changes in indicators of psychological state in relation to reports of unfair treatment in terms of five categories of behaviors: physical activity, phone usage, social interaction, mobility, and sleep. We find that students who encounter unfair treatment become more physically active, interact more with their phone in the morning, make more calls in the evening, and spend more time in bed on the day of the event. Some of these patterns continue the next day. Our results further our understanding of the impact of discrimination and can inform intervention work.

Identifiants

pubmed: 34322658
doi: 10.1145/3359216
pmc: PMC8315213
mid: NIHMS1657802
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-29

Subventions

Organisme : NIMH NIH HHS
ID : F31 MH117827
Pays : United States

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Auteurs

Yasaman S Sefidgar (YS)

University of Washington, USA.

Woosuk Seo (W)

University of Michigan, USA.

Kevin S Kuehn (KS)

University of Washington, USA.

Tim Althoff (T)

University of Washington, USA.

Anne Browning (A)

University of Washington, USA.

Eve Riskin (E)

University of Washington, USA.

Paula S Nurius (PS)

University of Washington, USA.

Anind K Dey (AK)

University of Washington, USA.

Jennifer Mankoff (J)

University of Washington, USA.

Classifications MeSH