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ObjectivesFor persons living with HIV (PLWH) in long-term care, clinic transfers are common and influence sustained engagement in HIV care, as they are associated with significant time out-of-care, low CD4 count, and unsuppressed viral load on re-entry. Despite the geospatial nature of clinic transfers, there exist limited data on the geospatial trends of clinic transfers to guide intervention development. In this study, we investigate the geospatial characteristics and trends of clinic transfers among PLWH on antiretroviral therapy (ART) in the Western Cape Province of South Africa.DesignRetrospective spatial analysis.SettingPLWH who initiated ART treatment between 2012 and 2016 in South Africa’s Western Cape Province were followed from ART initiation to their last visit prior to 2017. Deidentified electronic medical records from all public clinical, pharmacy, and laboratory visits in the Western Cape were linked across space and time using a unique patient identifier number.Participants4176 ART initiators in South Africa (68% women).MethodsWe defined a clinic transfer as any switch between health facilities that occurred on different days and measured the distance between facilities using geodesic distance. We constructed network flow maps to evaluate geospatial trends in clinic transfers over time, both for individuals’ first transfer and overall.ResultsTwo-thirds of ART initiators transferred health facilities at least once during follow-up. Median distance between all clinic transfer origins and destinations among participants was 8.6 km. Participant transfers were heavily clustered around Cape Town. There was a positive association between time on ART and clinic transfer distance, both among participants’ first transfers and overall.ConclusionThis study is among the first to examine geospatial trends in clinic transfers over time among PLWH. Our results make clear that clinic transfers are common and can cluster in urban areas, necessitating better integrated health information systems and HIV care.

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ImportancePrevalence of childhood parental death varies by race and ethnicity and socioeconomic status, yet whether similar variation persists in the association with lifetime psychiatric disorder is unknown.ObjectiveTo assess whether race and ethnicity and parental educational attainment are associated with the risk of death of a parent; to determine whether the risk for lifetime psychiatric disorder associated with death of a parent was moderated by race and ethnicity and highest parental educational attainment; and to examine a potential intersection of race and ethnicity with parental educational attainment in the risk of lifetime psychiatric disorder associated with death of a parent.Design, Setting, and ParticipantsThis retrospective cohort study used data from the National Comorbidity Study: Adolescent Supplement (NCS-A), 2001 to 2004. Participants included youth aged 13 to 18 years, restricted to Black, Hispanic, and White youth due to power limitations. Data were analyzed from February 26, 2021, to April 21, 2022.ExposureDeath of a parent during childhood.Main Outcomes and MeasuresThe primary study outcome was any lifetime Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) psychiatric disorder, assess via assessed via structured clinical interviews.ResultsAmong 9501 youth (mean [SD] age, 15.2 [1.5] years; 50.9% female), including 511 youth who had experienced parental death and 8990 youth who had not, the cumulative hazard of parental death by age 18 years was approximately doubled for Hispanic (10.1%; 95% CI, 6.9%-14.7%) and Black (14.0%; 95% CI, 10.6%-18.4%) youth compared with White youth (6.0%; 95% CI, 4.7%-7.8%). Similar patterns were noted by parental educational attainment: the cumulative hazard of parental death for youth of parents with less educational attainment was nearly double (10.1%; 95% CI, 8.1%-12.6%) compared with youth of parents with more education (6.6%; 95% CI, 5.2%-8.4%). Death of a parent was positively and significantly associated with risk of any lifetime psychiatric disorder (aOR, 1.34; 95% CI, 1.03-1.75) compared with youth who had not experienced death of a parent. However, this association was not moderated by race and ethnicity (aOR, 1.05; 95% CI, 0.58-1.92) or parental educational attainment (aOR, 1.19; 95%, 0.70-2.04), although power analyses suggest that larger sample sizes are needed.Conclusions and RelevanceIn this cross-sectional study, Black and Hispanic youth experienced elevated parental death compared with White youth, yet the risk for any lifetime psychiatric disorder after parental death was not significantly moderated by race and ethnicity or parental education. Both individual- and population-level interventions may be needed to address the increased risk of psychiatric disorders, although additional studies with larger sample sizes are needed.

Background: Bereaved youth are at greater risk for adverse mental health outcomes, yet less is known about how social context shapes health for bereaved children. Ecosocial theory is employed to conceptualize bereavement in the context of sociodemographic factors. Method: This longitudinal study used data from the Avon Longitudinal Study of Parents and Children. Of the 15,454 pregnancies enrolled, 5050 youth were still enrolled at age 16.5 and completed self-report questionnaires on life events and emotional/behavioral symptoms. Results: Sociodemographic precursors associated with parent, sibling, or close friend bereavement included maternal smoking, parental education levels, and financial difficulties. The significant yet small main effect of higher cognitive ability, assessed at age 8, on reduced emotional/behavioral symptoms at age 16.5 (β = −0.01, SE = 0.00, p < 0.001) did not interact with bereavement. Bereavement of a parent, sibling, or close friend was associated with a 0.19 point higher emotional/behavioral symptom log score compared to non-bereaved youth (95% CI: 0.10–0.28), across emotional, conduct, and hyperactivity subscales. Conclusions: Descriptive findings suggest sociodemographic precursors are associated with bereavement. While there was an association between the bereavement of a parent, sibling, or close friend and elevated emotional/behavioral symptoms, cognitive ability did not moderate that effect.

Background Bereavement is a common traumatic event associated with adverse health outcomes across the life course. Despite these risks, not all bereaved individuals experience these negative effects. Limited scientific consensus exists on how to define resilience in individuals who have experienced the death of a loved one. Methods Using a sample of N = 3766 youth from the Avon Longitudinal Study of Parents and Children birth cohort, we identified bereavement of a family member between ages 7 and 8.5. We derived and compared three different approaches to assess resilience among bereaved youth. Trajectory-based psychological resilience identified sub-groups with similar psychological symptom profiles between ages 6 and 16 using latent growth mixture models. Relative psychological resilience at age 16 leveraged standardized residuals from a model regressing psychological symptoms on bereavement to determine better-than-expected psychological functioning relative to bereavement status. Relative cross-domain resilience around age 16 was a sum score of the residuals approach applied to eight unique domains of health. Predictive validity of each approach was assessed using depressive symptoms at age 17.5 Results Overall, N = 877 (23%) youth were bereaved of a family member between ages 7 and 8.5. Using latent growth mixture models, a three-class solution described 84% of bereaved youth with low and stable psychological symptoms over time, 8% with worsening symptoms, and 8% with improving yet elevated symptoms. Each relative resilience score was largely concordant with the trajectory-based approach in identifying individuals as resilient or not, though relative psychological resilience demonstrated a stronger degree of concordance than the cross-domain score. Relative psychological and cross-domain resilience exhibited moderate to low correlation, depending on the domains included (r = 0.14–0.43). For each approach, resilience significantly predicted lower depressive symptoms at age 17.5, highlighting predictive validity of these measures. Conclusions Psychological symptom trajectories among bereaved youth aligned with those previously identified among bereaved adults. The residual-based approach to defining resilience exhibited limited utility in the context of bereavement. When identifying risk and resilience after bereavement, researchers and clinicians must address the interplay across psychosocial and physical health domains, as bereaved youth considered resilient from a mental health perspective may benefit from intervention in other domains.

Objective: To develop a predictive model to identify persons with recent gestational diabetes (GDM) most likely to progress to impaired glucose tolerance postpartum. Study Design: We conducted an observational study among persons with GDM in their most recent pregnancy, defined by Carpenter-Coustan criteria. Participants were followed from delivery through 1-year postpartum. We used lasso regression with k-fold cross validation to develop a multivariable model to predict progression to impaired glucose tolerance, defined as HbA1c ≥ 5.7%, at 1 year postpartum. Predictive ability was assessed by the area under the curve (AUC), sensitivity, specificity, positive and negative predictive values. Results: Of 203 participants, 71(35%) had impaired glucose tolerance at 1 year postpartum. The final model had an AUC of 0.79 (95% CI 0.72, 0.85) and included eight indicators of weight, body mass index, family history of type 2 diabetes, GDM in a prior pregnancy, GDM diagnosis < 24 weeks’ gestation, and fasting and 2-hour plasma glucose at 2 days postpartum. A cut-point of ≥ 0.25 predicted probability had sensitivity 80% (95% CI 69, 89), specificity 58% (95% CI 49, 67), PPV 51% (95% CI 41, 61) and NPV 85% (95% CI 76, 91) to identify women with impaired glucose tolerance at 1 year postpartum. Conclusion: Our predictive model had reasonable ability to predict impaired glucose tolerance around delivery for persons with recent GDM.

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