Hidden internet-based measure of discrimination and mental health of Black people

Hidehito Isoya; Hiroyuki Yamada

doi:10.1016/j.socscimed.2021.113776

Hidden internet-based measure of discrimination and mental health of Black people

Hidehito Isoya, Hiroyuki Yamada

Faculty of Economics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Incorporating the internet-based measure of discrimination obtained by Google Trends into state-level panel data, we conduct a fixed-effect model estimation to elucidate the relationship between racial discrimination and depression among Black people. We find that the deterioration of mental health among Black people, measured as the percentage of Black people with depression, is closely associated with our measure of discrimination.

Original language	English
Article number	113776
Journal	Social Science and Medicine
Volume	273
DOIs	https://doi.org/10.1016/j.socscimed.2021.113776
Publication status	Published - 2021 Mar

Keywords

Black people
Depression
Discrimination
Google trends

ASJC Scopus subject areas

Health(social science)
History and Philosophy of Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.socscimed.2021.113776

Cite this

@article{406c46c8134b4b68a57a6983a403f28b,

title = "Hidden internet-based measure of discrimination and mental health of Black people",

abstract = "Incorporating the internet-based measure of discrimination obtained by Google Trends into state-level panel data, we conduct a fixed-effect model estimation to elucidate the relationship between racial discrimination and depression among Black people. We find that the deterioration of mental health among Black people, measured as the percentage of Black people with depression, is closely associated with our measure of discrimination.",

keywords = "Black people, Depression, Discrimination, Google trends",

author = "Hidehito Isoya and Hiroyuki Yamada",

note = "Funding Information: This work was supported by the research fud from Keio University . Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2021",

month = mar,

doi = "10.1016/j.socscimed.2021.113776",

language = "English",

volume = "273",

journal = "Ethics in Science and Medicine",

issn = "0277-9536",

publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Hidden internet-based measure of discrimination and mental health of Black people

AU - Isoya, Hidehito

AU - Yamada, Hiroyuki

PY - 2021/3

Y1 - 2021/3

N2 - Incorporating the internet-based measure of discrimination obtained by Google Trends into state-level panel data, we conduct a fixed-effect model estimation to elucidate the relationship between racial discrimination and depression among Black people. We find that the deterioration of mental health among Black people, measured as the percentage of Black people with depression, is closely associated with our measure of discrimination.

AB - Incorporating the internet-based measure of discrimination obtained by Google Trends into state-level panel data, we conduct a fixed-effect model estimation to elucidate the relationship between racial discrimination and depression among Black people. We find that the deterioration of mental health among Black people, measured as the percentage of Black people with depression, is closely associated with our measure of discrimination.

KW - Black people

KW - Depression

KW - Discrimination

KW - Google trends

UR - http://www.scopus.com/inward/record.url?scp=85101403302&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85101403302&partnerID=8YFLogxK

U2 - 10.1016/j.socscimed.2021.113776

DO - 10.1016/j.socscimed.2021.113776

M3 - Article

C2 - 33610972

AN - SCOPUS:85101403302

SN - 0277-9536

VL - 273

JO - Ethics in Science and Medicine

JF - Ethics in Science and Medicine

M1 - 113776

ER -

Hidden internet-based measure of discrimination and mental health of Black people

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this