Association of maternal nutritional status and small for gestational age neonates in peri-urban communities of Karachi, Pakistan: findings from the PRISMA study.

BACKGROUND: Early pregnancy nutritional status can be associated with adverse birth outcomes such as small-for-gestational age (SGA) and low birth weight (LBW). BMI (Body Mass Index) and MUAC (Mid-upper arm circumference) are easy to use assessments and are indicative of the pre-pregnancy nutritional status if obtained in the first trimester. This study primarily assesses the association of maternal nutritional status using BMI and MUAC with SGA in a community-based cohort of Pakistani women. It also aims to determine the predictive ability of MUAC and BMI in predicting SGA. Secondarily, we assessed the association between maternal nutrition and large for gestational age (LGA) and LBW. METHODS: This study is a secondary analysis of an ongoing pregnancy cohort "Pregnancy Risk Infant Surveillance and Measurement Alliance (PRISMA)"in Ibrahim Hyderi and Rehri Goth, Karachi. PRISMA participants who were enrolled between January 2021 to August 2022 were included given they had a gestational age < 14 weeks confirmed via ultrasound, MUAC and BMI measurements were available and birth weight was captured within 72 hours. Multivariable logistic regression was used to determine an association between maternal nutritional status and SGA. The PRISMA study was approved by the Aga Khan University Ethics Review Committee (2021-5920-15,518). RESULTS: Of 926 women included in the analysis, 26.6% (n = 247) had a low MUAC (< 23 cm) while 18.4% (n = 171) were underweight (BMI < 18.5 kg/m2). Nearly one third of low MUAC and underweight women delivered SGA infants (34.4 and 35.1% respectively). Underweight women and women with low MUAC had a statistically significant association with SGA (Underweight: OR 1.49, 95% CI 1.1,2.4; Low MUAC-OR 1.64, 95% CI 1.2,2.3) as well as LBW (Underweight: OR-1.63, 95% CI 1.1,2.4; Low MUAC-OR-1.63, 95% CI 1.2,2.3). ROC curves showed that MUAC and BMI had modest predictability for SGA (AUC < 0.7). CONCLUSION: Maternal nutritional status as indicated by BMI and MUAC are strongly associated with adverse pregnancy outcomes including SGA, LGA and LBW. Although MUAC and BMI are widely used to determine maternal nutritional status, they have poor predictive ability for newborn size. Further research is needed to identify other tools or a combination of tools to better predict adverse birth outcomes in resource-limited settings and plan interventions.

Association between maternal experiences of intimate partner violence and child stunting: a secondary analysis of the Demographic Health Surveys of four South Asian countries.

OBJECTIVES: To determine the association between maternal exposure to intimate partner violence (IPV) and child stunting using the Demographic Health Survey (DHS) data comparing four South Asian countries. DESIGN: A secondary analysis. SETTING: Data from the seventh round of the DHS data of four South Asian countries; Pakistan, Nepal, India and Maldives. PARTICIPANTS: Married women of reproductive age (15-49 years) from each household were randomly selected, having at least one child less than 5 years of age for whom all anthropometric measures were available. OUTCOME MEASURE: The exposure variable was maternal IPV including, sexual violence, physical violence or both. The outcome variable was moderate or severe stunting, measured based on the height-for-age Z-score of children aged 6-59 months old . Multiple Cox proportional regression analyses were used separately on each country's data to determine the association between maternal IPV and child stunting. RESULTS: The prevalence of IPV among women ranged from 10.17% in the Maldives to 31% in India. The burden of child stunting was the lowest in the Maldives at 14.04% and the highest in Pakistan at 35.86%. The number of severely stunted children was the highest in Pakistan (16.60%), followed by India (14.79%). In India, children whose mothers were exposed to IPV showed a 7% increase in the prevalence of moderate to severe child stunting (OR 1.07; 95% CI 1.01 to 1.14). Additionally, in Nepal, severe stunting was strongly associated with the prevalence of physical IPV (OR 1.66; 95% CI 1.01 to 2.87). CONCLUSION: Our study findings suggest that maternal exposure to IPV is associated with child stunting. Further research investigating the relationship between IPV and child outcomes using improved and advanced statistical analyses can provide substantial evidence to enhance public awareness and potentially reduce the burden of child stunting in South Asian countries.