Postpartum Depression in a Community Sample of American Indian Mothers.

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.

Five recommendations for using large-scale publicly available data to advance health among American Indian peoples: the Adolescent Brain and Cognitive Development (ABCD) StudySM as an illustrative case.

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.

Development and Cultural Adaptation of Psychological First Aid for COVID-19 Frontline Workers in American Indian/Alaska Native Communities.

The coronavirus disease 19 (COVID-19) pandemic is broadly affecting the mental health and well-being of people around the world, and disproportionately affecting some groups with already pre-existing health inequities. Two groups at greater risk of physical and/or mental health detriments from COVID-19 and more profoundly impacted by the pandemic include frontline workers and American Indian/Alaska Native (AI/AN) communities. To provide support and prevent long-term mental health problems, we culturally adapted a psychological first aid guide specifically for COVID-19 frontline workers serving AI/AN communities. We engaged a diverse, collaborative work group to steer the adaptation content and process. We also held two focus group discussions with frontline workers in AI/AN communities to incorporate their perspectives into the adapted guide. Results from the group discussions and the collaborative work group were compiled, analyzed to extract themes and suggestions, and integrated into the adapted content of the guide. Main adaptations included updating language (i.e., to be more culturally appropriate, less prescriptive, and less text heavy), framing the guide from a harm-reduction lens, incorporating cultural activities, values, and teachings common across diverse AI/AN communities (e.g., importance of being a good relative), and validating feelings and experiences of frontline workers. The resulting adapted guide includes four modules and is available as a free online training. Our adaptation process may serve as a guiding framework for future adaptations of similar resources for specific groups. The adapted guide may stand as an enduring resource to support mental well-being, the prevention of mental health problems, and reduction of health inequities during the pandemic and beyond.

For the Good of the Community: Considering the Impact of Evidence-Based Treatment Adaptation on Tribal Communities.

Ongoing discussions among tribal communities, professionals, and mental health organizations have centered on the question of whether evidence-based interventions require adaptations to improve mental health outcomes among American Indian communities. Continued efforts to address these questions have resulted in the development of novel, culturally-grounded interventions, adapted interventions, use of original standard protocols, and/or limited use of evidence-based treatments. Consequently, mental health services in tribal communities may be highly variable from one community to another and the effectiveness of services relatively unknown. The current paper explored the state of the literature on adaptations and their utility among American Indian communities and the broader ethnic minority community. Considerations for the various impacts on tribal communities are presented and recommendations for researchers and practitioners are also discussed.

Caregiving Stress Among American Indians With Type 2 Diabetes: The Importance of Awareness of Connectedness and Family Support.

American Indian (AI) communities experience a disproportionate rate of Type 2 diabetes (T2D) and cumulative exposure to stress. Although this link is well researched among various populations, it has not been examined among AI communities. Path analysis was used to examine a multiple-mediator model to explain how caregiver stress influences self-reported mental and physical health among 100 AI participants with T2D. Caregiver stress was negatively associated with physical and mental health. Physical health was positively associated with family/community connectedness and mental health was positively associated with both family support and connectedness. The relationship between caregiver stress and mental health was partially mediated by family/community connectedness; caregiver stress had no indirect effects on physical health via either hypothesized mediator. Findings demonstrate the importance of integrating individuals' connection to family and community and its influence on caregiver stress and mental health in intervention programs targeting diabetes management and care among AI communities.