BACKGROUND: Mental health concerns increased during the coronavirus disease 2019 pandemic, but previous studies have not examined depression screening in pediatric primary care. We aimed to describe changes in screening, depressive symptoms, and suicide risk among adolescents during the coronavirus disease 2019 pandemic.METHODS: In a repeat cross-sectional analysis of electronic health record data from a large pediatric primary care network, we compared the percentage of primary care visits where adolescents aged 12 to 21 were screened for depression, screened positive for depressive symptoms, or screened positive for suicide risk between June and December 2019 (prepandemic) and June and December 2020 (pandemic). Changes were examined overall, by month, and by sex, race and ethnicity, insurance type, and income. Modified Poisson regression was used to calculate prevalence ratios (PRs) for the prepandemic to pandemic changes.RESULTS: Depression screening at primary care visits declined from 77.6% to 75.8% during the pandemic period (PR: 0.98, 95% confidence interval [CI]: 0.90–1.06). The percentage of adolescents screening positive for depressive symptoms increased from 5.0% to 6.2% (PR: 1.24, 95% CI: 1.15–1.34), with greater increases among female, non-Hispanic Black, and non-Hispanic white adolescents. Positive suicide risk screens increased from 6.1% to 7.1% (PR: 1.16, 95% CI: 1.08–1.26), with a 34% relative increase in reporting recent suicidal thoughts among female adolescents (PR: 1.34, 95% CI: 1.18–1.52).CONCLUSIONS: Results suggest that depression and suicide concerns have increased during the pandemic, especially among female adolescents. Results underscore the importance of consistent depression and suicidality screening.
BACKGROUND: High neighborhood crime and low perceptions of safety may influence blood pressure (BP) through chronic stress. Few studies have examined these associations using longitudinal data. METHODS: We used longitudinal data from 528 participants of the Multi-Ethnic Study of Atherosclerosis (aged 45–84, nonhypertensive at baseline) who lived in Chicago, Illinois. We examined associations of changes in individual-level perceived safety, aggregated neighborhood-level perceived safety, and past-year rates of police-recorded crime in a 1, ½, or ¼ mile buffer per 1,000 population with changes in systolic and diastolic BPs using fixed-effects linear regression. BP was measured five times between 2000 and 2012 and was adjusted for antihypertensive medication use (+10 mm Hg added to systolic and +5 mm Hg added to diastolic BP for participants on medication). Models were adjusted for time-varying sociodemographic and health-related characteristics and neighborhood socioeconomic status. We assessed differences by sex. RESULTS: A standard deviation increase in individual-level perceived safety was associated with a 1.54 mm Hg reduction in systolic BP overall (95% confidence interval [CI]: 0.25, 2.83), and with a 1.24 mm Hg reduction in diastolic BP among women only (95% CI: 0.37, 2.12) in adjusted models. Increased neighborhood-level safety was not associated with BP change. An increase in police-recorded crime was associated with a reduction in systolic and diastolic BPs among women only, but results were sensitive to neighborhood buffer size. CONCLUSIONS: Results suggest individual perception of neighborhood safety may be particularly salient for systolic BP reduction relative to more objective neighborhood exposures.
29 June 2016 in Journal of Medical Internet Research
Racial residential segregation is associated with higher rates of chronic hypertension, as well as greater risk of preterm birth and low birthweight. However, few studies have examined associations between segregation and hypertensive disorder of pregnancy (HDP). Electronic health records from 4,748 singleton births among non-Hispanic black women at Prentice Women’s Hospital in Chicago, IL (2009–2013) were geocoded to the census tract level. Residential segregation was measured using the Gi* statistic, a z-score measuring the extent to which each individual’s neighborhood composition deviates from the composition of the larger surrounding area. Segregation was categorized as low (z < 0), medium (z = 0–1.96) or high (z > 1.96). We estimated cross-sectional associations of segregation with HDP using multilevel logistic regression models with census tract random intercepts. Models adjusted for neighborhood poverty and maternal characteristics. We also examined effect modification by neighborhood poverty. Overall, 27.2% of women lived in high segregation, high-poverty neighborhoods. Racial residential segregation was not associated as a main effect with HDP in models adjusting for neighborhood poverty and maternal characteristics. However, at higher levels of neighborhood poverty (>20%), women living in high- and medium-segregated neighborhoods had greater odds of HDP relative to those in low-segregation neighborhoods (P interaction: 0.002). In this sample of non-Hispanic black women in Chicago, racial residential segregation was associated with greater prevalence of HDP among those living in higher poverty neighborhoods. Understanding sources of heterogeneity in the relationship between segregation and health will help refine targeted intervention efforts to reduce disparities.