Open AccessGender differences in the assessment of depression in American Indian older adults: The Strong Heart Study.
Author(s) -
Celestina Barbosa-Leiker,
Ekaterina Burduli,
Randi Arias-Losado,
Clemma Muller,
Carolyn Noonan,
Astrid SuchyDicey,
Lonnie A. Nelson,
Steven P. Verney,
Thomas J. Montine,
Dedra Buchwald
Publication year - 2021
Publication title -
psychological assessment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.96
H-Index - 140
eISSN - 1939-134X
pISSN - 1040-3590
DOI - 10.1037/pas0001024
Subject(s) - psycinfo , psychology , measurement invariance , depression (economics) , psychometrics , ethnic group , clinical psychology , epidemiology , young adult , differential item functioning , affect (linguistics) , item response theory , psychiatry , gerontology , medline , developmental psychology , confirmatory factor analysis , medicine , structural equation modeling , mathematics , anthropology , law , macroeconomics , sociology , communication , political science , statistics , economics
The validation of the assessment of depression across ethnic groups is critical yet deficient for American Indian (AI) adults. Therefore, we assessed the psychometric properties of the Center for Epidemiological Studies-Depression (CES-D) in AI elders and tested differences in depression constructs between gender. Participants were 817 AI adults (68% women), mean age 73.2 years ( SD = 6.1, range: 64-95) for women and 72.6 years ( SD = 5.3, range: 65-90) for men., in the Cerebrovascular Disease and Its Consequences in AIs Study. We evaluated the factor structure of the 20-item and 12-item CES-D and tested measurement invariance between gender. Results demonstrated a poor fit for the 20-item CES-D and partial gender measurement invariance of the 12-item CES-D. AI female elders had significantly higher depression levels than AI male elders on the Depressed Affect subscale, the Somatic Symptoms subscale, and the Well-Being (reverse-coded) subscale. Further replication is needed, and we recommend future psychometric work with the 12-item CES-D with AI elders. (PsycInfo Database Record (c) 2021 APA, all rights reserved).