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AbstractSub-Saharan Africa has the highest natural twinning rate in the world. Unfortunately, due to lack of adequate care during pregnancy, labor and postnatally, twin mortality in Sub-Saharan Africa also remains very high. Thus, it has been estimated that one in five twins dies during the childhood years. In spite of this, surprisingly few twin studies have been conducted in the region, making additional epidemiological data much needed. In 2009, we established one of the first twin registries in Sub-Saharan Africa at the Bandim Health Project in Guinea-Bissau. The registry had two main objectives. First, we wanted to describe the twinning rate and mortality patterns among newborn twins, including mortality risk factors and hospitalization patterns. Such studies can help the local clinicians improve twin health by identifying the most vulnerable children. Second, and in light of the rapidly increasing diabetes rates in Africa, we wanted to use the registry to particularly focus on metabolic disorders. Twins are often born with low birth weight, which according to the 'thrifty phenotype hypothesis' could predispose them to metabolic disorders later in life. Yet, no such 'fetal programming' data have previously been available from African twins despite the fact that nutritional patterns and influences from other factors (e.g., infections) could be markedly different here compared to high-income settings. In this article, we summarize the findings and current status of the Guinea-Bissau twin registry.

Twins traditionally retain a special status in many African societies. In Guinea-Bissau, twins are often well regarded yet still suffer from a very high mortality, especially in the perinatal and infant period. At the Bandim Health Project, a health and demographic surveillance site, we have recently established one of the first twin registries in Sub-Saharan Africa. Our short-term aim is to describe twin mortality and morbidity in order to design appropriate health interventions. Our long-term goal is a large-scale database to explore the pathogenesis of prevalent diseases; for example, diabetes mellitus, metabolic syndrome, and infectious diseases such as HIV, tuberculosis, and malaria. A major focus area is also the etiology of low birth weight and how epigenetic processes might modulate the consequences of low birth weight in Sub-Saharan Africa. For this, monozygotic twin studies represent a powerful tool. Though twin studies have been carried out by the Bandim Health Project for more than 30 years, the renewed registry described here was officially established in 2009 and includes both a cohort of newborn twins and a cohort of young and adult twins. Currently more than 1,500 twins are being followed in the two cohorts combined. We believe that the registry holds exciting possibilities and will encourage the establishment of further twin registries across the region.

Background The World Health Organization recommends HIV testing is included in routine screening tests for all pregnant women in order to prevent mother-to-child-transmission of HIV and reduce maternal morbidity and mortality. Objectives To assess the proportion of women approached and tested for HIV at delivery and factors associated with non-testing at the maternity ward of the Simão Mendes National Hospital (HNSM) in Bissau, Guinea-Bissau. Methods We conducted a retrospective cross-sectional study among women presenting for delivery from June 2008 until May 2013. During the study period, national policy included opt-out HIV-testing at delivery. Modified Poisson regression models were used to examine the association of maternal characteristics with HIV testing. Time trends were determined using Pearson's χ 2 test. Results Seventy-seven percent (24,217/31,443) of women presenting for delivery were counselled regarding PMTCT, of whom 99.6% (24,107/24,217) proceeded with HIV testing. The provision of opt-out HIV testing at labour increased from 38.1% (1,514/3973) in 2008 to 95.7% (2,021/2,113) in 2013, p<0.001. There were four distinct periods (two or more consecutive calendar months) when less than 50% of women delivering at HNSM were tested. Periods of political instability were significantly associated with not testing for HIV (adjusted prevalence ratio [APR] 1.79; 95% CI 1.73–1.84), as was a lower educational status (APR 1.05; 95% CI 1.00–1.10), admission during evenings/nights (APR 1.05; 95% CI 1.01–1.09) and on Sundays (APR 1.14; 95% CI 1.07–1.22) and Mondays (APR 1.12; 95% CI 1.05–1.19). Conclusions Rapid scale-up of PMTCT HIV testing services and high testing coverage was possible in this resource-limited setting but suffered from regular interruptions, most likely because of test stock-outs. Establishing proper stock management systems and back-up plans for periods of political instability is required to ensure the maintenance of health system core functions and increase health system resilience.

We analyzed birth order differences in means and variances of height and body mass index (BMI) in monozygotic (MZ) and dizygotic (DZ) twins from infancy to old age. The data were derived from the international CODATwins database. The total number of height and BMI measures from 0.5 to 79.5 years of age was 397,466. As expected, first-born twins had greater birth weight than second-born twins. With respect to height, first-born twins were slightly taller than second-born twins in childhood. After adjusting the results for birth weight, the birth order differences decreased and were no longer statistically significant. First-born twins had greater BMI than the second-born twins over childhood and adolescence. After adjusting the results for birth weight, birth order was still associated with BMI until 12 years of age. No interaction effect between birth order and zygosity was found. Only limited evidence was found that birth order influenced variances of height or BMI. The results were similar among boys and girls and also in MZ and DZ twins. Overall, the differences in height and BMI between first- and second-born twins were modest even in early childhood, while adjustment for birth weight reduced the birth order differences but did not remove them for BMI.