The Salvation Army United States

To describe the epidemiology of cerebral palsy (CP) in children from low- and middle-income countries (LMICs) using data from the Global Low- and Middle-Income Country CP register (GLM-CPR). The GLM-CPR is a multi-country initiative that combines and compares data from children with CP (<18y) in LMICs. Children with CP are registered after detailed neurodevelopmental assessment by a multidisciplinary medical team using a harmonized protocol. Data are collected on agreed core variables. Descriptive analyses are completed to report findings from participating countries. Between January 2015 and May 2019, 2664 children were recruited from Bangladesh, Nepal, Indonesia, and Ghana (mean age [SD] at assessment: 7y 8mo [4y 8mo], 95% confidence interval 7y 6mo-7y 11mo; male [n=1615] 60.6%, female [n=1049] 39.4%). Overall, 86.6% children acquired CP prenatally and perinatally (e.g. preterm birth, birth asphyxia, neonatal encephalopathy). Median age at CP diagnosis was 3 years. Moreover, 79.2% children had spastic CP and 73.3% were classified in Gross Motor Function Classification System levels III to V. Notably, 47.3% of children never received rehabilitation services (median age at receiving rehabilitation services was 3y; 12.7% received assistive devices) and 75.6% of school-age children had no access to education. Population-based data show that the proportion of severe cases of CP is very high in LMICs. Children with CP in LMICs lack access to rehabilitation and educational services and a large proportion of children have potentially preventable risk factors, for example, birth asphyxia and neonatal infections. Delayed diagnosis, severe motor impairments, and lack of rehabilitation in most children call for urgent action to identify preventive opportunities and promote early diagnosis and intervention for children with CP in LMICs. What this paper adds The proportion of severe cases of cerebral palsy (CP) is very high in rural low- and middle-income countries (LMICs). Children with CP in LMICs lack access to rehabilitation and educational services. A large proportion of children with CP in LMICs have potentially preventable risk factors.

We surveyed a sample of young adults in the United States to determine (1) whether/how depression is affected by violent victimization during childhood and/or by recent stressful events, as well as (2) whether any observed links between depression and violent victimization and/or stressful events would be uniform across racial/ethnic groups. Using data from the National Longitudinal Survey of Youth 1997 cohort, we measured respondent depression in 5 interview waves dating 2004-2015. Our final sample for analysis numbered 22,549 person-waves. Our study showed that violent victimization in childhood, and recent stressful events, as well, alike exacerbated depression. Moreover, as we analyzed, in turn, the data for each ethnic subsample, we observed differential patterns in depression's associations with victimization. Childhood violent victimization-and also recently encountered stress-has a significant role in the development of depression in adulthood; this role appears to be moderated by race/ethnicity.

We report findings from a community-based two-city survey of homeless adults comparing the level of substance abuse treatment assigned to them using the ASAM Patient Placement Criteria with care actually received during the previous 12 months. Overall 531 adults were surveyed with 382 meeting DSM-IIIR criteria of being in need of treatment or having a demand for treatment. Of those with a treatment need, 1.5% met criteria for outpatient care, 40.3% intensive outpatient/ partial hospitalization care, 29.8% medically monitored care and 28.8% managed care levels. In contrast, of those receiving treatment (50.5%, 162 persons), almost all care received by this cohort was either inpatient or residential based (83.6%). Unsheltered homeless persons and those without insurance were significantly more likely to report not receiving needed treatment. Lack of treatment availability or capacity, expense, and changing one's mind while on a wait list were the most commonly cited reasons for no treatment.