biostudies-literatureMichaels ESusan G. KomenUniversity of California BerkeleyNIMHD NIH HHSNational Institute on Minority Health and Health DisparitiesNational Institute of General Medical SciencesNIGMS NIH HHSRobert Wood Johnson Foundation577-584https://www.ebi.ac.uk/biostudies/studies/S-EPMC7200149biostudies-literatureUnknown73(6)<h4>Background</h4>Studies suggest that racial discrimination impacts health via biological dysregulation due to continual adaptation to chronic psychosocial stress. Therefore, quantifying chronicity is critical for operationalising the relevant aetiological exposure and hence maximising internal validity. Using one of the most common discrimination scales in the epidemiological literature, we develop a novel approach for more accurately assessing chronicity and compare it with conventional approaches to determine whether coding influences differential exposure classification and associations with hypertension and depression among African American women.<h4>Methods</h4>Data are from a socioeconomically diverse cross section of 208 mid-life African American women in Northern California (datJournal of epidemiology and community healthCoding the Everyday Discrimination Scale: implications for exposure assessment and associations with hypertension and depression among a cross section of mid-life African American women.PMC7200149UL1 GM118985Center for New Racial StudiesInstitute for the Study of Societal IssuesP60MD006902Research Bridging GrantHellman FundHealth &amp; Society Scholars ProgramPopulation CenterGTDR14301469UL1GM118985Experimental Social Science LibraryP60 MD006902Thomas MChae DPrice MAllen AMichaels EHasson RReeves AfalseCoding the Everyday Discrimination Scale: implications for exposure assessment and associations with hypertension and depression among a cross section of mid-life African American women.<h4>Background</h4>Studies suggest that racial discrimination impacts health via biological dysregulation due to continual adaptation to chronic psychosocial stress. Therefore, quantifying chronicity is critical for operationalising the relevant aetiological exposure and hence maximising internal validity. Using one of the most common discrimination scales in the epidemiological literature, we develop a novel approach for more accurately assessing chronicity and compare it with conventional approaches to determine whether coding influences differential exposure classification and associations with hypertension and depression among African American women.<h4>Methods</h4>Data are from a socioeconomically diverse cross section of 208 mid-life African American women in Northern California (dat2019-01-01T00:00:00Z2019 Jun2025-04-22T00:20:53.033Z2020-10-29T15:30:55ZS-EPMC72001493089442010.1136/jech-2018-211230