BackgroundSub-Saharan Africa is facing rapidly increasing prevalences of cardiovascular disease, obesity, diabetes and hypertension. Previous and ongoing undernutrition among pregnant women may contribute to this development as suggested by epidemiological studies from high income countries linking undernutrition in fetal life with increased burden of non-communicable diseases in later life. We undertook to study the risks for hypertension, glucose intolerance and overweight forty years after fetal exposure to famine afflicted Biafra during the Nigerian civil war (1967–1970).Methods and FindingsCohort study performed in June 27–July 31, 2009 in Enugu, Nigeria. Adults (n = 1,339) born before (1965–67), during (1968–January 1970), or after (1971–73) the years of famine were included. Blood pressure (BP), random plasma glucose (p-glucose) and anthropometrics, as well as prevalence of hypertension (BP>140/90 mmHg), impaired glucose tolerance (IGT; p-glucose 7.8–11.0 mmol/l), diabetes (DM; p-glucose ≥11.1 mmol/l), or overweight (BMI>25 kg/m2) were compared between the three groups. Fetal-infant exposure to famine was associated with elevated systolic (+7 mmHg; p<0.001) and diastolic (+5 mmHg; p<0.001) BP, increased p-glucose (+0.3 mmol/L; p<0.05) and waist circumference (+3cm, p<0.001), increased risk of systolic hypertension (adjusted OR 2.87; 95% CI 1.90–4.34), IGT (OR 1.65; 95% CI 1.02–2.69) and overweight (OR 1.41; 95% CI 1.03–1.93) as compared to people born after the famine. Limitations of this study include the lack of birth weight data and the inability to separate effects of fetal and infant famine.ConclusionsFetal and infant undernutrition is associated with significantly increased risk of hypertension and impaired glucose tolerance in 40-year-old Nigerians. Prevention of undernutrition during pregnancy and in infancy should therefore be given high priority in health, education, and economic agendas.

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Background: Patients with substance use disorders (SUDs) are more likely to experience serious health problems, high healthcare utilization, and premature death. However, little is known about the contribution of SUDs to medical 30-day readmission risk. We examined the association between SUDs and 30-day all cause readmission among non-pregnant adult in-patients in the US. Methods: We conducted a retrospective study using 2010–2014 data from the Nationwide Readmissions Database. Our primary focus was on opioid use compared to stimulant use (cocaine and amphetamine) identified by ICD-9-CM diagnosis codes in index hospitalizations. Multivariable logistic regression models were used to estimate adjusted odds ratios and 95% CI representing the association between substance use and 30-day readmission, overall and stratified by the principal reason for the index hospitalization. Results: Nearly 118 million index hospitalizations were included in the study, 4% were associated with opioid or stimulant use disorder. Readmission rates for users (19.5%) were higher than for nonusers (15.7%), with slight variation by the type of substance used: cocaine (21.8%), opioid (19.0%), and amphetamine (17.5%). After adjusting for key demographic, socioeconomic, clinical, and health system characteristics, SUDs and stimulant use disorders increased the odds of 30-day all-cause readmission by 20%. Conclusions: Reducing the frequency of inpatient readmission is an important goal for improving the quality of care and ensuring proper transition to residential/outpatient care among patients with SUDs. Differences between groups may suggest directions for further investigation into the distinct needs and challenges of hospitalized opioid- and other drug-exposed patients.

In 2014, Nigeria shifted its malaria policy and strategy from control to elimination. Studies show that data-driven decision making is essential to achieving elimination. It is therefore important that policy makers have access to and use good quality and relevant data to inform program decisions. This article presents findings from an assessment of availability, quality, and use of malaria data in three states in Nigeria, namely, Akwa-Ibom, Cross River, and Niger, as part of a larger study on how organizational structure affects outcomes of malaria programs. A literature search to determine the availability and range of malaria data in Nigeria was conducted, followed by 65 key informant interviews to understand how malaria data are used in the study states. It was observed that the District Health Information System (DHIS) was the major source of data used in managing programs; however, the range of malaria indicators in the DHIS is limited, lacking indicators such as active case detection and entomological data, which are important for surveillance and decision making toward malaria elimination. On data quality, routine data from the DHIS were reviewed using the national protocol for data quality assessment. Data quality was found to be suboptimal, with quality scores ranging from 54% to 64% compared to the national target of 80%. DHIS data were reportedly used most often for performance and/or supply chain management. Overall, the study demonstrates gaps in data availability and quality and highlights the need for more data sources and improved quality data to inform decision making toward malaria elimination in Nigeria. As in other sectors, health sector managers need timely and reliable information for planning and evaluating interventions. 1-3 This is particularly important as the world moves from the era of the Millennium Development Goals (MDGs) to the Sustainable Development Goals (SDGs), which require timely and accurate data in

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