Background Ending preventable maternal deaths remains a global priority and in the later stages of obstetric transition, identifying the social determinants of maternal health outcomes is essential to address stagnating maternal mortality rates. Countries would hardly achieve the Sustainable Development Goal (SGD) targets on maternal health, unless the complex and context-specific socio-economic aetiologies associated with maternal mental health and suicide are identified. The Rajarata Pregnancy Cohort (RaPCo) is a prospective cohort study, designed to explore the interactions between social determinants and maternal mental health in determining pregnancy and new-born outcomes. Methods The study will recruit all eligible pregnant women in the maternal care programme of Anuradhapura district, Sri Lanka from July to September 2019. The estimated sample size is 2400. We will assess the socio-demographic and economic status, social capital, gender-based violence and mental health, including a clinical examination and biochemical investigations during the first trimester. Participants will undergo four follow-ups at 2nd and 3rd trimesters, at delivery and in early postpartum. The new-borns will be followed up at birth, neonatal period, at 6 six months and at 1 year. Pregnancy and child outcome data will be collected using direct contact. Qualitative studies will be carried out to understand the complex social factors and behavioural dimensions related to abortion, antenatal depression, maternal deaths and near misses. Discussion This is the first reported maternal cohort in Sri Lanka focusing on social determinants and mental health. As a country in stage four of obstetric transition, these findings will provide generalizable evidence on achieving SGD targets in low- and middle-income countries. The study will be conducted in a district with multi-cultural, multi-ethnic and diverse community characteristics; thus, will enable the evidence generated to be applied in many different contexts. The study also possesses the strength of using direct participant contact, data collection, measurement, examination and biochemical testing to minimise errors in routinely collected data. The RaPCo study will be able to generate evidence to strengthen policies to further reduce maternal deaths in the local, regional and global contexts particularly focusing on social factors and mental health, which are not optimally addressed in the global agenda.

Rapid household food insecurity (HFI) tracking has been identified as a priority in the context of the COVID-19 pandemic and its aftermath. We report the validation of the Latin American and Caribbean Food Security Scale (Escala Latinoamericana y Caribena de Seguridad Alimentaria [ELCSA]) among pregnant women in Sri Lanka. The eight-item adult version of the ELCSA was translated from English to Sinhala and Tamil. Cognitive testing (on 10 pregnant women and five local experts) and psychometric validation of the self-administered HFI tool were conducted among pregnant women (n = 269) attending the special clinics of the Rajarata Pregnancy Cohort (RaPCo) in Anuradhapura in February 2020. We assessed the psychometric properties and fit using a one parameter logistic model (Rasch model analysis) using STATA Version 14 and WINSTEP software Version 4.3.4. Concurrent validity was tested using psychological distress. The scale was internally consistent (Cronbach's alpha = 0.79) and had a good model fit (Rasch items infit statistic range: 0.85 to 1.07).Item 8 ('did not eat for the whole day') was removed from the model fit analysis, as it was not affirmed by respondent. Item severity scores ranged from −2.15 for 'not eating a diverse diet' to 4.43 for 'not eating during the whole day'. Concurrent validity between HFI and psychological distress was confirmed (r = 0.15, p < 0.05). The selfapplied version of ELCSA-pregnancy in Sri Lanka (ELCSA-P-SL) is a valid and feasible valid tool. We recommend it to track HFI among pregnant women in lower income countries during the COVID-19 pandemic.

Background Adolescent fertility is a main indicator of the Sustainable Developmental Goal (SGD) three. Although Sri Lanka is exemplary in maternal health, the utilization of Sexual and Reproductive Health services (SRH) by adolescents is less documented. We describe the hidden burden, associated biological and psychosocial factors and utilization patterns of pre-conceptional services among pregnant adolescents in rural Sri Lanka. Methods The study is based on the baseline assessment of the Rajarata Pregnancy Cohort (RaPCo) in Anuradhapura. Pregnant women newly registered from July to September 2019 were recruited to the study. The period of gestation was confirmed during the second follow-up visit (around 25–28 weeks of gestation) using ultra sound scan data. A history, clinical examination, anthropometric measurements, blood investigations were conducted. Mental health status was assessed using the Edinburgh Postpartum Depression Scale (EPDS). Results Baseline data on gestation was completed by 3,367 pregnant women. Of them, 254 (7.5%) were adolescent pregnancies. Among the primigravida mothers (n = 1037), 22.4% (n = 233) were adolescent pregnancies. Maternal and paternal low education level, being unmarried, and less time since marriage were statistically significant factors associated with adolescent pregnancies (p < 0.05). Contraceptive usage before pregnancy, utilization of pre-conceptional health care services, planning pregnancy and consuming folic acid was significantly low among adolescents (p < 0.001). They also had low body mass index (p < 0.001) and low hemoglobin levels (p = 0.03). Adolescent mothers were less happy of being pregnant (p = 0.006) and had significantly higher levels of anxiety (p = 0.009). Conclusion One fifth of women in their first pregnancy in this study population are adolescents. Nulli-parous adolescents exert poor social stability and compromised physical and mental health effects. The underutilization and/or unavailability of SRH services is clearly associated with adolescent pregnancies.

The COVID-19 pandemic has challenged population health researchers to use remote data collection methods to avoid faceto-face interaction. A proper assessment of the feasibility of these methods in low-resource settings is lacking. We share our experience from telephone interviews conducted among pregnant women in the Rajarata Pregnancy Cohort in Sri Lanka. Among 3374 participants, 3284 (98.4%) and 496 (14.7%) had mobile and fixed-access phones respectively. During interviews, 1576 (51.9%) of participants were non-contactable. Of these, there were 157 (5.1%) wrong numbers, 889 (29.1%) were unavailable/phone switched off and 479 (15.7%) didn't answer their phone. Telephone interviews were completed only among 1438 (42.6%). Of these, 476 (33.1%) used messaging apps. In this local setting, these methods led to selection bias and inequity in health message delivery. If other ways to target vulnerable people in rural areas are not in place, the adoption of a telephone-based strategy to health message delivery may worsen health disparity during the COVID-19 pandemic. These facts aid in the planning and implementation of research and health promotion initiatives in rural areas of low-and middle-income nations throughout the world.

Aims We aimed to determine the effect of early pregnancy hyperglycaemia on having a large for gestational age (LGA) neonate. Methods A prospective cohort study was conducted among pregnant women in their first trimester. One-step plasma glucose (PG) evaluation procedure was performed to assess gestational diabetes mellitus (GDM) and diabetes mellitus (DM) in pregnancy as defined by the World Health Organization (WHO) criteria with International Association of Diabetes in Pregnancy Study Group (IADPSG) thresholds. The main outcome studied was large for gestational age neonates (LGA). Results A total of 2,709 participants were recruited with a mean age of 28 years (SD = 5.4) and a median gestational age (GA) of eight weeks (interquartile range [IQR] = 2). The prevalence of GDM in first trimester (T1) was 15.0% (95% confidence interval [CI] = 13.7–16.4). Previously undiagnosed DM was detected among 2.5% of the participants. Out of 2,285 live births with a median delivery GA of 38 weeks (IQR = 3), 7.0% were LGA neonates. The cumulative incidence of LGA neonates in women with GDM and DM was 11.1 and 15.5 per 100 women, respectively. The relative risk of having an LGA neonate among women with DM and GDM was 2.30 (95% CI = 1.23–4.28) and 1.80 (95% CI = 1.27–2.53), respectively. The attributable risk percentage of a LGA neonate for hyperglycaemia was 15.01%. T1 fasting PG was significantly correlated with both neonatal birth weight and birth weight centile. Conclusions The proposed WHO criteria for hyperglycaemia in pregnancy are valid, even in T1, for predicting LGA neonates. The use of IADPSG threshold for Fasting PG, for risk assessment in early pregnancy in high-risk populations is recommended.