RESUMEN
American Indian (AI) mothers experience high rates of postpartum depression (PPD). We evaluated the factor structure of the Edinburgh Postnatal Depression Scale (EPDS) among AI mothers from a rural AI serving health system. We also investigated potential associations between EPDS scores and selected psychosocial factors (n = 315). Exploratory Factor Analysis (n = 157) showed that a one-factor structure best fits the data. A Confirmatory Factor Analysis was then conducted to examine the fit of the one-factor model (n = 158). Goodness-of-fit statistics showed overall poor model fit (RMSEA = .13) which may be suggestive of an indicator of depression among Natives not detected by the EPDS. Results of the multiple regression analysis were non-significant. The findings demonstrated that while the EPDS measured aspects of PPD, there may be additional aspects of depression specific to the AI women in our sample not captured by the EPDS. Limitations and directions for future research are discussed.
Asunto(s)
Depresión Posparto , Madres , Femenino , Humanos , Madres/psicología , Depresión Posparto/diagnóstico , Depresión Posparto/epidemiología , Depresión Posparto/psicología , Indio Americano o Nativo de Alaska , Análisis Factorial , Escalas de Valoración PsiquiátricaRESUMEN
American Indian and Alaska Native (AIAN) populations have suffered a history of exploitation and abuse within the context of mental health research and related fields. This history is rooted in assimilation policies, historical trauma, and cultural loss, and is promulgated through discrimination and disregard for traditional culture and community knowledge. In recognition of this history, it is imperative for researchers to utilize culturally sensitive approaches that consider the context of tribal communities to better address mental health issues for AIAN individuals. The public availability of data from large-scale studies creates both opportunities and challenges when studying mental health within AIAN populations. This manuscript has two goals; first, showcase an example of problematic use of Adolescent Brain Cognitive Development (ABCD) StudySM data to promulgate stereotypes about AIAN individuals and, second, in partnership with collaborators from Cherokee Nation, we provide five recommendations for utilizing data from publicly available datasets to advance health research in AIAN populations. Specifically, we argue for the consideration of (1) the heterogeneity of the communities represented, (2) the importance of focusing on AIAN health and well-being, (3) engagement of relevant communities and AIAN community leaders, (4) consideration of historical and ongoing injustices, and (5) engagement with AIAN regulatory agencies or review boards. These recommendations are founded on principles from broader indigenous research efforts emphasizing community-engaged research and principles of Indigenous Data Sovereignty and Governance.