Background Psychological stress and coping experienced during pregnancy can have important effects on maternal and infant health, which can also vary by race, ethnicity, and socioeconomic status. Therefore, we assessed stressors, coping behaviors, and resources needed in relation to the COVID-19 pandemic in a sample of 162 perinatal (125 pregnant and 37 postpartum) women in the United States. Methods A mixed-methods study captured quantitative responses regarding stressors and coping, along with qualitative responses to open-ended questions regarding stress and resources needed during the COVID-19 pandemic. Logistic and linear regression models were used to analyze differences between pregnant and postpartum participants, as well as differences across key demographic variables. Qualitative content analysis was used to analyze open-ended questions. Results During the COVID-pandemic, food scarcity and shelter-in-place restrictions made it difficult for pregnant women to find healthy foods. Participants also reported missing prenatal appointments, though many reported using telemedicine to obtain these services. Financial issues were prevalent in our sample and participants had difficulty obtaining childcare. After controlling for demographic variables, pregnant women were less likely to engage in healthy stress-coping behaviors than postpartum women. Lastly, we were able to detect signals of increased stressors induced by the COVID-19 pandemic, and less social support, in perinatal women of racial and ethnic minority, and lower-income status. Qualitative results support our survey findings as participants expressed concerns about their baby contracting COVID-19 while in the hospital, significant others missing the delivery or key obstetric appointments, and wanting support from friends, family, and birthing classes. Financial resources, COVID-19 information and research as it relates to maternal-infant health outcomes, access to safe healthcare, and access to baby supplies (formula, diapers, etc.) emerged as the primary resources needed by participants. Conclusions To better support perinatal women’s mental health during the COVID-19 pandemic, healthcare providers should engage in conversations regarding access to resources needed to care for newborns, refer patients to counseling services (which can be delivered online/via telephone) and virtual support groups, and consistently screen pregnant women for stressors.

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.

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Information about the equality of psychometric properties of the medical outcomes study (MOS) Short Form-36 (SF-36), a health status measure, across gender and across the lifespan for American Indian adults is lacking. We tested measurement invariance (configural, metric, scalar invariance) of the physical and mental components between gender and over time in a sample of 2,709 (1,054 men, 1,654 women) American Indian older adults at three time points, and across a 6-year time frame. Measurement invariance of a 2-factor higher-order model was demonstrated between gender at each time point. Tests of longitudinal invariance indicated longitudinal measurement invariance over time. Multiple-group latent means analysis indicated men had significantly higher physical and mental component latent means compared to women at each time point, and longitudinal latent means analysis found physical and mental component latent means decreased over time. The 2-factor higher-order model SF-36 is valid for American Indian older adults over a 6-year time frame. Public Significance StatementThe medical outcomes study (MOS) Short Form-36 (SF-36) is a valid assessment for American Indian older adults. Men had significantly higher physical and mental scores compared to women, and physical and mental components scores decreased over time in the total sample.