Introduction/Objectives: National guidelines underscore the need for improvement in the detection and treatment of mood disorders in the perinatal period. Exposure to disasters can amplify perinatal mood disorders and even have intergenerational impacts. The primary aim of this pilot study was to use mixed-methods to better understand the mental health and well-being effects of the coronavirus disease 2019 (COVID-19) pandemic, as well as sources of resilience, among women during the perinatal period. Methods: The study team used a simultaneous exploratory mixed-methods design to investigate the primary objective. Thirty-one pregnant and postpartum women participated in phone interviews and were invited to complete an online survey which included validated mental health and well-being measures. Results: Approximately 12% of the sample reported high depressive symptomatology and 60% reported moderate or severe anxiety. Forty percent of the sample reported being lonely. The primary themes related to stress were uncertainty surrounding perinatal care, exposure risk for both mother and baby, inconsistent messaging from information sources and lack of support networks. Participants identified various sources of resilience, including the use of virtual communication platforms, engaging in self-care behaviors (eg, adequate sleep, physical activity, and healthy eating), partner emotional support, being outdoors, gratitude, and adhering to structures and routines. Conclusions: Since the onset of COVID-19, many pregnant and postpartum women report struggling with stress, depression, and anxiety symptomatology. Findings from this pilot study begin to inform future intervention work to best support this highly vulnerable population.

Including exercise for the prevention and treatment of mental disorders is a promising area of research for exercise scientists since data indicate that many of these disorders are not treated at all, and there is a significant delay in treatment. This review provides an appraisal of the recent use of exercise to prevent and treat specific mental disorders and provides a recommended framework for future progress of this research. More research is needed to overcome methodological issues to demonstrate the efficacy and effectiveness of exercise and to integrate mental and physical healthcare for widespread dissemination.

Background The COVID-19 pandemic has had numerous worldwide effects. In the United States, there have been 8.3 million cases and nearly 222,000 deaths as of October 21, 2020. Based on previous studies of mental health during outbreaks, the mental health of the population will be negatively affected in the aftermath of this pandemic. The long-term nature of this pandemic may lead to unforeseen mental health outcomes and/or unexpected relationships between demographic factors and mental health outcomes. Objective This research focused on assessing the mental health status of adults in the United States during the early weeks of an unfolding pandemic. Methods Data was collected from English-speaking adults from early April to early June 2020 using an online survey. The final convenience sample included 1083 US residents. The 71-item survey consisted of demographic questions, mental health and well-being measures, a coping mechanisms checklist, and questions about COVID-19–specific concerns. Hierarchical multivariable logistic regression was used to explore associations among demographic variables and mental health outcomes. Hierarchical linear regression was conducted to examine associations among demographic variables, COVID-19–specific concerns, and mental health and well-being outcomes. Results Approximately 50% (536/1076) of the US sample was aged ≥45 years. Most of the sample was White (1013/1054, 96%), non-Hispanic (985/1058, 93%), and female (884/1073, 82%). Participants reported high rates of depression (295/1034, 29%), anxiety (342/1007, 34%), and stress (773/1058, 73%). Older individuals were less likely to report depressive symptomology (OR 0.78, P<.001) and anxiety symptomology (OR 0.72, P<.001); in addition, they had lower stress scores (–0.15 points, SE 0.01, P<.001) and increased well-being scores (1.86 points, SE 0.22, P<.001). Individuals who were no longer working due to COVID-19 were 2.25 times more likely to report symptoms of depression (P=.02), had a 0.51-point increase in stress (SE 0.17, P=.02), and a 3.9-point decrease in well-being scores (SE 1.49, P=.009) compared to individuals who were working remotely before and after COVID-19. Individuals who had partial or no insurance coverage were 2-3 times more likely to report depressive symptomology compared to individuals with full coverage (P=.02 and P=.01, respectively). Individuals who were on Medicare/Medicaid and individuals with no coverage were 1.97 and 4.48 times more likely to report moderate or severe anxiety, respectively (P=.03 and P=.01, respectively). Financial and food access concerns were significantly and positively related to depression, anxiety, and stress (all P<.05), and significantly negatively related to well-being (both P<.001). Economy, illness, and death concerns were significantly positively related to overall stress scores (all P<.05). Conclusions Our findings suggest that many US residents are experiencing high stress, depressive, and anxiety symptomatology, especially those who are underinsured, uninsured, or unemployed. Longitudinal investigation of these variables is recommended. Health practitioners may provide opportunities to allay concerns or offer coping techniques to individuals in need of mental health care. These messages should be shared in person and through practice websites and social media.

To determine whether season of infant birth or amount of daylight at time and location of birth is a risk factor for self-reported postpartum depression (PPD). The primary hypothesis was that the prevalence of PPD will peak during the darkest winter months. A cross-sectional analysis was conducted using the Pregnancy Risk Assessment Monitoring System (PRAMS) Phase 5 (2004-2006) data set (N = 67,079). Self-reported PPD was established using a modified version of the Patient Health Questionnaire-2 (PHQ-2) included in the PRAMS questionnaire. Logistic regression for complex survey design was used to determine odds ratios and 95% confidence intervals. No significant relationship was found between mild or moderate PPD and either season of birth or length of daylight at birth. By analyzing a large, multi-state sample, this study adds to the equivocal preexisting literature suggesting that there is no significant relationship between the season of birth or length of daylight at birth and PPD.