Marcos Augusto Bastos Dias from Fiocruz in Brazil in collaboration with the Global Pregnancy Collaboration (CoLab) will test a new approach for managing women in Brazil with preeclampsia in order to reduce unnecessary preterm births. Preeclampsia is characterized by high blood pressure and impaired organ function during pregnancy and can cause severe complications or even death for mother and child. The only cure is delivery, but preterm births are also high risk. In Brazil preeclampsia accounts for far more preterm deliveries than in higher income countries who more readily choose medication to reduce the severity of the disease, and help delay delivery. The study includes seven geographically diverse hospitals with 23 satellite community health centres over four years. They will train staff to adopt the WHO guidelines for preventing preeclampsia and introduce a method for identifying low-risk women whose pregnancies can be safely prolonged. The study will also generate data and biological samples that can be used to help better stratify risk and understand the disease, which could further improve clinical management and lead to new treatments.

Ricardo Tavares Pinheiro from the Universidade Católica de Pelotas in Brazil will identify factors that are associated with gestational depression, and determine whether they influence their response to treatment and ultimately the healthy development of the child. Gestational and postpartum anxiety and depression affect 15-25% of mothers and can alter the emotional, social and cognitive development of the child. They are likely caused by a complex combination of genetic, hormonal, psychological and social/environmental factors. Only a handful of risk factors, including the levels of proinflammatory molecules, have been identified. The study will involve around 1250 pregnant women who will be evaluated by psychologists to ascertain their mental state. Blood and buccal cell samples will be collected to analyze the presence of candidate risk markers (specific proteins and microRNAs) and genetic polymorphisms (specific DNA sequences) to identify those associated with depression. They will also determine the relationship between these psychological and physiological factors and the subsequent motor and neurocognitive development of the born children. Clinical studies will also evaluate the efficacy of several modified therapeutic approaches centered on cognitive behavioral therapy, which involves guiding the patient to modify any distorted thinking and can be effective in depressed mothers.

Iná da Silva dos Santos from the Universidade Federal de Pelotas in Brazil will develop a simple, low-cost strategy targeting mothers to ensure young children get enough sleep. Inadequate sleep is more common in children from low-resource households, and can negatively impact their physical and mental health, including their cognitive development. Children can be encouraged to sleep well by creating a restful environment and helping them learn to get to sleep by themselves. They will perform a randomized controlled study with around 500 mothers of infants aged three months. One group of mothers will be taught about normal sleep behavior during the first year of life and how to encourage their child to sleep. The effect of this intervention on sleep duration, growth and neurodevelopment will be analyzed over a 24-month period. Sleep duration will be monitored by actigraphy to ensure accuracy.

Guilherme Vanoni Polanczyk from Universidade de São Paulo in Brazil will test their new method Pixel Averages for Auxological Assessment (PIXA3) that enables parents at home to frequently and precisely measure height during early childhood to help better detect and monitor growth defects in low-resource settings. The current standard for accurately measuring height requires specialized equipment and trained staff, and is thus unsuitable for frequent application. Their new method involves using a smartphone to take multiple photographs of an individual next to an internal standard of known size, and doesn’t require cross-sectional population norms, which have complicated current methods of longitudinally assessing growth. They will perform a randomized controlled trial in São Paulo to test the feasibility of their method and determine how accurate it is compared to traditional growth measures taken at a health clinic.