OBJECTIVE:Suicide mortality rates in rural areas of the United States are twice that of rates in urban areas, and identifying which factors-eg, higher rates of suicidal distress, lower rates of help-seeking behaviors, or greater access to firearms-contribute to this rural/urban disparity could help target interventions. METHOD:Using 2015-2016 data on adult respondents to the California Health Interview Survey (n = 40,041), we examined associations between residence in a rural (vs nonrural) census tract and nonfatal suicidal ideation and attempt. RESULTS:We found that living in a rural area was not associated with nonfatal suicidal behavior (OR for past-year suicidal ideation = 0.87, 95% CI: 0.63-1.20; OR for past-year suicide attempt = 0.55, CI: 0.20-1.48). Women living in rural areas had higher odds of lifetime suicidal ideation compared to women living in nonrural areas, but this difference was not significant (OR = 1.17, CI: 0.94-1.44). We also found that, among individuals reporting suicidal behavior, there were few rural/nonrural differences in perceived need for treatment, such as seeing a physician or taking a prescription for mental health problems. CONCLUSIONS:Our results do not suggest higher suicidal distress or lower treatment-seeking behaviors as explanations for the rural/urban disparity in suicide mortality rates. Further attention is needed to the unique risk factors driving suicidality in rural areas, as well as exploring heterogeneity in these factors across different rural contexts.

Background

Reducing maternal mortality is a priority in the United States and worldwide. Drug-related deaths and suicide may account for a substantial and growing portion of maternal deaths, yet information on the incidence of and sociodemographic variation in these deaths is scarce.

Objective

We sought to examine incidence of drug-related and suicide deaths in the 12 months after delivery, including heterogeneity by sociodemographic factors. We also explored maternal decedents' health care utilization prior to death.

Study design

This retrospective, population-based cohort study followed up 1,059,713 women who delivered a live-born infant in California hospitals during 2010-2012 to ascertain maternal death. Analyses were conducted using statewide, all-payer, longitudinally-linked hospital and death data.

Results

A total of 300 women died during follow-up, a rate of 28.33 deaths per 100,000 person-years. The leading cause of death was obstetric-related problems (6.52 per 100,000 person-years). Drug-related deaths were the second leading cause of death (3.68 per 100,000 person-years), and suicide was the seventh leading cause (1.42 per 100,000 person-years); together these deaths comprised 18% of all maternal deaths. Non-Hispanic white women, Medicaid-insured women, and women residing in micropolitan areas were especially likely to die from drugs/suicide. Two thirds of women who died, including 74% of those who died by drugs/suicide, made ≥1 emergency department or hospital visit between their delivery and death.

Conclusion

Deaths caused by drugs and suicide are a major contributor to mortality in the postpartum period and warrant increased clinical attention, including recognition by physicians and Maternal Mortality Review Committees as a medical cause of death. Importantly, emergency department and inpatient hospital visits may serve as a point of identification of, and eventually prevention for, women at risk for these deaths.

Background

The United States (US) data suggest fewer-than-expected preterm births in 2020, but no study has examined the impact of exposure to the early COVID-19 pandemic at different points in gestation on preterm birth.

Objective

Our objective was to determine-among cohorts exposed to the early COVID-19 pandemic-whether observed counts of overall, early and moderately preterm birth fell outside the expected range.

Methods

We used de-identified, cross-sectional, national birth certificate data from 2014 to 2020. We used month and year of birth and gestational age to estimate month of conception for birth. We calculated the count of overall (<37 weeks gestation), early (<33 weeks gestation) and moderately (33 to <37 weeks gestation) preterm birth by month of conception. We employed time series methods to estimate expected counts of preterm birth for exposed conception cohorts and identified cohorts for whom the observed counts of preterm birth fell outside the 95% detection interval of the expected value.

Results

Among the 23,731,146 births in our study, the mean prevalence of preterm birth among monthly conception cohorts was 9.7 per 100 live births. Gestations conceived in July, August or December of 2019-that is exposed to the early COVID-19 pandemic in the first or third trimester-yielded approximately 3245 fewer moderately preterm and 3627 fewer overall preterm births than the expected values for moderate and overall preterm. Gestations conceived in August and October of 2019-that is exposed to the early COVID-19 pandemic in the late second to third trimester-produced approximately 498 fewer early preterm births than the expected count for early preterm.

Conclusions

Exposure to the early COVID-19 pandemic may have promoted longer gestation among close-to-term pregnancies, reduced risk of later preterm delivery among gestations exposed in the first trimester or induced selective loss of gestations.

The epidemiologic literature estimating the indirect or secondary effects of the coronavirus disease 2019 (COVID-19) pandemic on pregnant people and gestation continues to grow. Our assessment of this scholarship, however, leads us to suspect that the methods most commonly used may lead researchers to spurious inferences. This suspicion arises because the methods do not account for temporal patterning in perinatal outcomes when deriving counterfactuals, or estimates of the outcomes had the pandemic not occurred. We illustrate the problem in 2 ways. First, using monthly data from US birth certificates, we describe temporal patterning in 5 commonly used perinatal outcomes. Notably, for all but 1 outcome, temporal patterns appear more complex than much of the emerging literature assumes. Second, using data from France, we show that using counterfactuals that ignore this complexity produces spurious results. We recommend that subsequent investigations on COVID-19 and other perturbations use widely available time-series methods to derive counterfactuals that account for strong temporal patterning in perinatal outcomes.

Background

Preliminary studies suggest that the SARS-CoV-2 pandemic and associated social, economic and clinical disruptions have affected pregnancy decision-making and outcomes. Whilst a few US-based studies have examined regional changes in birth outcomes during the pandemic's first months, much remains unknown of how the pandemic impacted perinatal health indicators at the national-level throughout 2020, including during the 'second wave' of infections that occurred later in the year.

Objectives

To describe changes in monthly rates of perinatal health indicators during the 2020 pandemic for the entire US.

Methods

For the years 2015 to 2020, we obtained national monthly rates (per 100 births) for four perinatal indicators: preterm (<37 weeks' gestation), early preterm (<34 weeks' gestation), late preterm (34-36 weeks' gestation) and caesarean delivery. We used an interrupted time-series approach to compare the outcomes observed after the pandemic began (March 2020) to those expected had the pandemic not occurred for March through December of 2020.

Results

Observed rates of preterm birth fell below expectation across several months of the 2020 pandemic. These declines were largest in magnitude in early and late 2020, with a 5%-6% relative difference between observed and expected occurring in March and November. For example, in March 2020, the observed preterm birth rate of 9.8 per 100 live births fell below the 95% prediction interval (PI) of the rate predicted from history, which was 10.5 preterm births per 100 live births (95% PI 10.2, 10.7). We detected no changes from expectation in the rate of caesarean deliveries.

Conclusions

Our findings provide nationwide evidence of unexpected reductions in preterm delivery during the 2020 SARS-CoV-2 pandemic in the US. Observed declines below expectation were differed by both timing of delivery and birth month, suggesting that several mechanisms, which require further study, may explain these patterns.