Latent class analysis of health, social, and behavioral profiles associated with psychological distress among pregnant and postpartum women during the COVID-19 pandemic in the United States.

BACKGROUND: There is a growing body of literature documenting negative mental health impacts from the COVID-19 pandemic. The purpose of this study was to identify risk and protective factors associated with mental health and well-being among pregnant and postpartum women during the pandemic. METHODS: This was a cross-sectional, anonymous online survey study distributed to pregnant and postpartum (within 6 months) women identified through electronic health records from two large healthcare systems in the Northeastern and Midwestern United States. Survey questions explored perinatal and postpartum experiences related to the pandemic, including social support, coping, and health care needs and access. Latent class analysis was performed to identify classes among 13 distinct health, social, and behavioral variables. Outcomes of depression, anxiety, and stress were examined using propensity-weighted regression modeling. RESULTS: Fit indices demonstrated a three-class solution as the best fitting model. Respondents (N = 616) from both regions comprised three classes, which significantly differed on sleep- and exercise-related health, social behaviors, and mental health: Higher Psychological Distress (31.8%), Moderate Psychological Distress (49.8%), and Lower Psychological Distress (18.4%). The largest discriminatory issue was support from one's social network. Significant differences in depression, anxiety, and stress severity scores were observed across these three classes. Reported need for mental health services was greater than reported access. CONCLUSIONS: Mental health outcomes were largely predicted by the lack or presence of social support, which can inform public health decisions and measures to buffer the psychological impact of ongoing waves of the COVID-19 pandemic on pregnant and postpartum women. Targeted early intervention among those in higher distress categories may help improve maternal and child health.

Mental health among university employees during the COVID-19 pandemic: The role of previous life trauma and current posttraumatic stress symptoms.

OBJECTIVE: Previous studies indicated that the coronavirus disease 2019 (COVID-19) pandemic has harmed the mental health of diverse samples. Adopting a trauma lens with a sample of university faculty and staff, this study examined risk conferred by previous exposure to traumatic life events (TLE) on pandemic-related mental health harm (MHH) and stress and the mediating influence of posttraumatic stress disorder (PTSD) symptoms. METHOD: In Spring 2021, employees (N = 641) of a public university in the United States completed an online cross-sectional survey, including validated scales of TLE and PTSD and single-item measures of MHH and stress taken from published COVID-19 studies. A structural probit model was used to estimate: (a) direct effects of cumulative TLE on PTSD, MHH, and stress; and (b) indirect effects of cumulative TLE via PTSD adjusting for age. Gender was tested as a moderating influence. RESULTS: Nearly 36% of the sample reported positive PTSD screens along with high levels of MHH (22.5%) and stress (42.3%). Cumulative TLE was significantly and positively associated with MHH and stress. Both genders experienced a negative impact on mental health and stress either fully or partially through PTSD symptoms; however, the gender by trauma interaction term was not significant. As age decreased, PTSD and MHH increased. CONCLUSION: Results suggest that PTSD symptoms play a crucial role in the experience of MHH and stress during the pandemic for those who endured previous trauma. Implications for employer policies, public health messaging, and mental health services are explored. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Linking chronic stress to insomnia symptoms in older adults: The role of stress co-occurrence during the pandemic.

Studies examining the associations of chronic stressors with sleep health in older adults have shown conflicting results. While the COVID-19 pandemic increased perceived stress at the population level, less is known about chronic stressors experienced by older adults in the context of the COVID-19 pandemic and its impact on sleep health in an aging population. This study aims to examine the association of older adults' chronic stress with insomnia symptoms during the first year of the COVID-19 pandemic. A cross-sectional analysis was performed using early-release COVID-19 data from the Health and Retirement Study. Data on chronic stressors and insomnia symptoms in older adults (N = 2021; mean age = 68.8) were examined. Co-occurrence network analysis, latent class analysis, Rao-Scott χ2 tests, and multivariable logistic regression were used to characterize the co-occurrence of chronic stressors and associations with insomnia symptoms. The most common co-occurring chronic stressors during the first year of the COVID-19 pandemic were self-health issues, family-health issues, and financial stress. Older adults experiencing frequent stress co-occurrence had 91% higher odds of difficulty initiating sleep (p < 0.001), 40% higher odds of frequent nocturnal awakening (p = 0.028), and 83% higher odds of nonrestorative sleep (p < 0.001). However, adjustment for health risk factors and COVID-19 concerns attenuated the effects, leaving strongest association for difficulty initiating sleep (odds ratio = 1.51, p = 0.010). Frequent stress co-occurrence plays an important role linking chronic stress to insomnia symptoms in an aging population. Ongoing research is needed to examine the lingering effects of frequent stress co-occurrence on older adults' sleep health in the post COVID-19 era.

Childcare Stress, Burnout, and Intent to Reduce Hours or Leave the Job During the COVID-19 Pandemic Among US Health Care Workers.

Importance: Childcare stress (CCS) is high during the COVID-19 pandemic because of remote learning and fear of illness transmission in health care workers (HCWs). Associations between CCS and burnout, intent to reduce (ITR) hours, and intent to leave (ITL) are not known. Objective: To determine associations between CCS, anxiety and depression, burnout, ITR in 1 year, and ITL in 2 years. Design, Setting, and Participants: This survey study, Coping with COVID, a brief work-life and wellness survey of US HCWs, was conducted between April and December 2020, assessing CCS, burnout, anxiety, depression, workload, and work intentions. The survey was distributed to clinicians and staff in participating health care organizations with more than 100 physicians. Data were analyzed from October 2021 to May 2022. Main Outcomes and Measures: The survey asked, "due to…COVID-19, I am experiencing concerns about childcare," and the presence of CCS was considered as a score of 3 or 4 on a scale from 1, not at all, to 4, a great extent. The survey also asked about fear of exposure or transmission, anxiety, depression, workload, and single-item measures of burnout, ITR, and ITL. Results: In 208 organizations, 58 408 HCWs (15 766 physicians [26.9%], 11 409 nurses [19.5%], 39 218 women [67.1%], and 33 817 White participants [57.9%]) responded with a median organizational response rate of 32%. CCS was present in 21% (12 197 respondents) of HCWs. CCS was more frequent among racial and ethnic minority individuals and those not identifying race or ethnicity vs White respondents (5028 respondents [25.2%] vs 6356 respondents [18.8%]; P < .001; proportional difference, -7.1; 95% CI, -7.8 to -6.3) and among women vs men (8281 respondents [21.1%] vs 2573 respondents [17.9%]; odds ratio [OR], 1.22; 95% CI, 1.17 to 1.29). Those with CCS had 115% greater odds of anxiety or depression (OR, 2.15; 95% CI, 2.04-2.26; P < .001), and 80% greater odds of burnout (OR, 1.80; 95% CI, 1.70-1.90; P < .001) vs indidivuals without CCS. High CCS was associated with 91% greater odds of ITR (OR, 1.91; 95% CI, 1.76 to 2.08; P < .001) and 28% greater odds of ITL (OR, 1.28; 95% CI, 1.17 to 1.40; P < .001). Conclusions and Relevance: In this survey study, CCS was disproportionately described across different subgroups of HCWs and was associated with anxiety, depression, burnout, ITR, and ITL. Addressing CCS may improve HCWs' quality of life and HCW retention and work participation.

COVID-Related Stress and Work Intentions in a Sample of US Health Care Workers.

OBJECTIVE: To evaluate relationships between coronavirus disease 2019 (COVID-19)-related stress and work intentions in a sample of US health care workers. PATIENTS AND METHODS: Between July 1 and December 31, 2020, health care workers were surveyed for fear of viral exposure or transmission, COVID-19-related anxiety or depression, work overload, burnout, and intentions to reduce hours or leave their jobs. RESULTS: Among 20,665 respondents at 124 institutions (median organizational response rate, 34%), intention to reduce hours was highest among nurses (33.7%; n=776), physicians (31.4%; n=2914), and advanced practice providers (APPs; 28.9%; n=608) while lowest among clerical staff (13.6%; n=242) and administrators (6.8%; n=50; all P<.001). Burnout (odds ratio [OR], 2.15; 95% CI, 1.93 to 2.38), fear of exposure, COVID-19-related anxiety/depression, and workload were independently related to intent to reduce work hours within 12 months (all P<.01). Intention to leave one's practice within 2 years was highest among nurses (40.0%; n=921), APPs (33.0%; n=694), other clinical staff (29.4%; n=718), and physicians (23.8%; n=2204) while lowest among administrators (12.6%; n=93; all P<.001). Burnout (OR, 2.57; 95% CI, 2.29 to 2.88), fear of exposure, COVID-19-related anxiety/depression, and workload were predictors of intent to leave. Feeling valued by one's organization was protective of reducing hours (OR, 0.65; 95% CI, 0.59 to 0.72) and intending to leave (OR, 0.40; 95% CI, 0.36 to 0.45; all P<.01). CONCLUSION: Approximately 1 in 3 physicians, APPs, and nurses surveyed intend to reduce work hours. One in 5 physicians and 2 in 5 nurses intend to leave their practice altogether. Reducing burnout and improving a sense of feeling valued may allow health care organizations to better maintain their workforces postpandemic.