Determinants of low birth weight in urban Pakistan

Bayesian rank likelihood-based estimation: An application to low birth weight in Ethiopia

BACKGROUND

Low birth weight is a significant risk factor associated with high rates of neonatal and infant mortality, particularly in developing countries. However, most studies conducted on this topic in Ethiopia have small sample sizes, often focusing on specific areas and using standard models employing maximum likelihood estimation, leading to potential bias and inaccurate coverage probability.

METHODS

This study used a novel approach, the Bayesian rank likelihood method, within a latent traits model, to estimate parameters and provide a nationwide estimate of low birth weight and its risk factors in Ethiopia. Data from the Ethiopian Demographic and Health Survey (EDHS) of 2016 were used as a data source for the study. Data stratified all regions into urban and rural areas. Among 15, 680 representative selected households, the analysis included complete cases from 10, 641 children (0-59 months). The evaluation of model performance considered metrics such as the root mean square error, the mean absolute error, and the probability coverage of the corresponding 95% confidence intervals of the estimates.

RESULTS

Based on the values of root mean square error, mean absolute error, and probability coverage, the estimates obtained from the proposed model outperform the classical estimates. According to the result, 40.92% of the children were born with low birth weight. The study also found that low birth weight is unevenly distributed across different regions of the country with the highest amounts of variation observed in the Afar, Somali and Southern Nations, Nationalities, and Peoples regions as represented by the latent trait parameter of the model. In contrast, the lowest low birth weight variation was recorded in the Addis Ababa, Dire Dawa, and Amhara regions. Furthermore, there were significant associations between birth weight and several factors, including the age of the mother, number of antenatal care visits, order of birth and the body mass index as indicated by the average posterior beta values of (β1= -0.269, CI=-0.320, -0.220), (β2= -0.235, CI=-0.268, -0.202), (β3= -0.120, CI=-0.162, -0.074) and (β5= -0.257, CI=-0.291, -0.225).

CONCLUSIONS

The study showed that the low birth weight estimates obtained from the latent trait model outperform the classical estimates. The study also revealed that the prevalence of low birth weight varies between different regions of the country, indicating the need for targeted interventions in areas with a higher prevalence. To effectively reduce the prevalence of low birth weight and improve maternal and child health outcomes, it is important to concentrate efforts on regions with a higher burden of low birth weight. This will help implement interventions that are tailored to the unique challenges and needs of each area. Health institutions should take measures to reduce low birth weight, with a special focus on the factors identified in this study.

Factors Associated with Low Birthweight in Low-and-Middle Income Countries in South Asia

Child with Low Birth Weight (LBW) has a higher risk of infant mortality, learning difficulties in childhood due to stunted growth and impaired neurodevelopment, is more likely to develop heart diseases and diabetes in adulthood. This study aimed to evaluate the latest demographic and health surveys (DHSs) across multiple countries in South Asia to determine the factors associated with LBW among these countries. Latest available DHS data across Afghanistan (2015, n = 29,461), Bangladesh (2018, n = 20,127), Nepal (2016, n = 12,862), and Pakistan (2018, n = 15,068) were analysed. Complex survey adjusted generalized linear models were fitted to investigate the association of birth weight with sociodemographic and decision-making factors. Pakistan had the highest proportion of LBW at 18% followed by Afghanistan and Bangladesh at around 14% and Nepal had the lowest (13%). Children born in Pakistan were more likely to have LBW children than Afghanistan (AOR = 2.17, 95% CI = 1.49-3.14). Mothers living in rural areas (AOR = 0.77, 95% CI = 0.61-0.97), with highly educated partners and belonging to richer families were less susceptible to having child with LBW. To reduce 30% LBW in-line with the World Health Organisation's 2025 goal, policymakers in SA should focus on women in urban areas with low-educated partners belonging to poor households to ease LBW burden.

Self-rated health before pregnancy and adverse birth outcomes in Sweden: A population-based register study

BACKGROUND

Poor self-rated health (SRH) at time of childbirth has been associated with adverse birth outcomes. However, it is not known whether prepregnancy SRH contributes to these outcomes or whether SRH is a proxy for some other factors. Therefore, the purpose of this study was to explore the associations between poor SRH before pregnancy and adverse birth outcomes. In addition, maternal characteristics associated with SRH before pregnancy were explored.

METHODS

A population-based register study encompassing 261 731 deliveries in Sweden between January 2013 and July 2017 was conducted. The associations between poor SRH before pregnancy, rated at first antenatal visit, and the adverse birth outcomes of stillbirth, small for gestational age (SGA), and preterm birth were investigated with logistic regression analyses and presented as crude (OR) and adjusted odds ratios (aOR) with 95% confidence intervals (CI).

RESULTS

Poor SRH before pregnancy was largely characterized by a history of psychiatric care and was associated with stillbirth (OR 1.37, 95% CI 1.04-1.79), SGA birth (OR 1.29, 95% CI 1.19-1.39), and preterm birth (OR 1.41, 95% CI 1.32-1.50). Adjusting for established risk factors for adverse birth outcomes, poor SRH remained associated with SGA birth (aOR 1.16, 95% CI 1.07-1.26) and preterm birth (aOR 1.25, 95% CI 1.17-1.33), but not with stillbirth (aOR 1.08, 95% CI 0.81-1.43).

CONCLUSIONS

SRH assessments could be used in early pregnancy to identify women in need of more extensive follow-up, as SRH appears to capture something beyond currently known risk factors for adverse birth outcomes.

Compromised maternal nutritional status in early pregnancy and its relation to the birth size in young rural Indian mothers

BACKGROUND

Low birth weight is highly prevalent in rural India. As a chronic undernutrition problem, poor birth outcomes are closely related to various nutritional factors more prominently the poor maternal anthropometry at conception. The purpose of the study was to identify how compromised maternal nutritional status in early pregnancy affects the birth size of rural Indian mothers.

METHODS

It was a prospective observational study on singleton pregnant women (n = 204) from 14 villages in Mulshi Taluka of Pune District, Maharashtra, India. Maternal weight (Wt), height (Ht), body fat percent (BF%), head circumference (HC), and sitting height (SHT) were measured at early pregnancy (< 13 weeks of gestation) and infants' weight and length were measured within 24 h of birth. Groups means were tested using a 't' test while the trend in means was tested using ANOVA.

RESULTS

Mothers were young (21.46 ± 2.09 yrs), thin (46.46 ± 6.1 kg), short (153.39 ± 5.79 cm), and poorly nourished (19.74 ± 2.41 kg/m2). Mean birth weight was low (2655 ± 507 g) and prevalence of LBW and stunting at birth was highest among mothers in the lower tertile of each of the anthropometric indicators. In particular, stunting was significantly higher for mothers in lower tertile compared to higher tertile of Wt (44.6 Vs 64.6%) and was also true for HC (43.7 Vs 60.6%). Risk for LBW and stunting at birth was almost similar and was significant (p < 0.01) for mothers in the lower tertile of Wt, Ht, BMI, SHT, HC, and BF% as compared to those in the higher tertile of these measurements.

CONCLUSION

All the anthropometric indicators of current undernutrition at first trimester as well as that in utero reflected by smaller HC, impose risk for LBW and stunting at birth especially among young rural mothers.

Impact of children born with low birth weight on stunting and wasting in Sindh province of Pakistan: a propensity score matching approach

Low Birth Weight (LBW) is considered as a major public health issue and leading cause of neonatal death. Almost one in four newborns are reported as underweight in Pakistan. Children born with low birth weight are highly vulnerable to develop diseases and death and/or remain undernourished (i.e., stunted and wasted). This study determines the LBW newborns are more prone to develop stunting and wasting in province of Sindh, Pakistan. Moreover, regression-based estimation of the impact of LBW on the child health outcomes of under five years of age, may be prone to selection bias because of the nature of non-experimental data set, thus, propensity score matching methods are used in this study. Data for this study was used from Multiple Indicators Cluster Survey (MICS-2014). MICS is a two-stage, stratified cluster sampling household level data covering urban and rural areas and consists of 19,500 households from five administrative divisions and 28 districts of Sindh province of Pakistan. The total sample size of children less than five years of age after cleaning the data are 7781, of which 2095 are LBW having birth weight categorized as "smaller than average and very small" and 5686 are normal birth weight (NBW) having birth weight very large, larger than average, and average. This study employed propensity score matching (PSM) regression methods to understand whether the children born as low birth weight are more prone to stunting and wasting and/or both. In province of Sindh, moderate wasting children under five years were 21%, severe wasting 6% and both wasting and stunting 10%. The propensity score results are shown significant in all groups. Specifically, all four types of PSM methods confirm a significant difference in the potential outcome variables-meaning that a child born with LBW has a significant adverse effect on the potential child health outcome variables (stunting, wasting and both). Thus, the propensity score matching findings confirm a significant and adverse effect of LBW on potential health outcomes of under five children. Similarly, low birth weight children are significantly more likely to be moderately wasted (OR = 1.5, CI = 1.3-1.6) and severely wasted (OR = 1.6, CI = 1.3-2.0) and both (stunted and wasted, OR = 2.0, CI = 1.7-2.3) as compared to children with normal birth weight. Male children, if born with low birth weight, are significantly more likely to be moderately wasted (OR = 1.3, CI = 1.1-1.5) and both (wasted and stunted, OR = 1.3, CI = 1.1-1.5) than girls. This large data analysis finding proved that the LBW newborns are on higher risk to develop wasting and stunting in Pakistan.

Risk factors for low birth weight in Nigeria: evidence from the 2013 Nigeria Demographic and Health Survey

BACKGROUND

Low birth weight (LBW) continues to be the primary cause of infant morbidity and mortality.

OBJECTIVE

This study was undertaken to identify the predictors of LBW in Nigeria.

DESIGN

The data for this study was extracted from the 2013 Nigeria Demographic and Health Survey conducted by the National Population Commission. Several questionnaires were used in the survey, some covering questions on pregnancy characteristics. The inclusion criteria include mothers who gave birth to a child 5 years before the interview and aged 15-49 years who were either permanent residents or visitors present in the household on the night before the survey conducted. The birth weight of the infants was recorded from written records from the hospital cards or the mothers' recall.

RESULTS

The prevalence of LBW in this study was 7.3%. Multiple logistic regression analysis showed an adjusted significant odds ratio for mothers from North West region (aOR 10.67; 95% CI [5.83-19.5]), twin pregnancy (aOR 5.11; 95% CI [3.11-8.39]), primiparous mother (aOR 2.08; 95% CI [1.15-3.77]), maternal weight of less than 70 kg (aOR 1.92; 95% CI [1.32-2.78]), and manual paternal employment (aOR 1.91; 95% CI [1.08-3.37]).

CONCLUSIONS

The risk factors for LBW identified in this study are modifiable. In order to reduce this menace in Nigeria, holistic approaches such as health education, maternal nutrition, improvement in socio-economic indices, and increasing the quality and quantity of the antenatal care services are of paramount importance.

Maternal nutrition in pregnancy and metabolic risks among neonates in a Pakistani population, a pilot study

The aim of this study was to observe the association between maternal undernutrition and metabolic risk indicators in newborns at birth. Fifty-nine expectant mothers between 28 and 40 weeks of gestation were included after obtaining their informed consent. Mothers were divided into undernourished, normally nourished and overnourished groups. A total of 54 deliveries were followed-up, and cord blood samples were collected. Metabolic status at birth was assessed by determining the cord blood concentrations of glucose, insulin and lipids and by measuring insulin resistance through homeostasis model assessment. Metabolic risk indicators in the offspring were compared following mothers’ nutrition status (under and normal nourished groups). We found that concentrations of glucose (5.31±2.01 v. 4.69±2.22 mmol/l, P=0.01), total cholesterol (2.51±1.52 v. 1.84±0.66 mmol/l, P=0.04), triglycerides (0.85±1.12 v. 0.34±0.24 mmol/l, P=0.00) and low-density lipoprotein (LDL)-cholestrol (1.26±0.93 v. 1.02±0.50 mmol/l, P=0.04) were significantly high in the offspring born to undernourished mothers. LDL-cholestrol remained significantly high in the undernourished group even after adjustment for potential confounders. Furthermore, a weak association was observed between maternal body fat mass with serum leptin (r=0.272, P=0.05) and maternal body mass Index with LDL-cholestrol in the cord blood (r=0.285, P=0.05). Our results showed that offspring of undernourished mothers had a relatively higher metabolic risk profile including LDL-cholestrol compared with normal nourished group, suggesting that maternal undernutrition may influence metabolic risk markers of the newborn at birth. We recommend that these results should be confirmed by a longitudinal study with a larger sample size.

The role of maternal diet and iron-folic acid supplements in influencing birth weight: evidence from India's National Family Health Survey

AIM

To examine the role of maternal diet in determining low birth weight (LBW) in Indian infants.

METHODS

Data from the National Family Health Survey (2005-06) were used. Multivariate regression analysis was used to analyse the effect of maternal diet on infant birth weight.

RESULTS

Infants whose mothers consumed milk and curd daily [odds ratio (OR), 1.17; 95% confidence interval (CI), 1.06-1.29]; fruits daily (OR, 1.20; 95% CI, 1.07-1.36) or weekly (OR, 1.13; 95% CI, 1.02-1.24) had higher odds of not having a low birth weight baby. The daily consumption of pulses and beans (OR, 1.18; 95% CI, 1.02-1.36) increased the odds while weekly consumption of fish (OR, 0.79; 95% CI, 0.70-0.89) decreased the odds of not having a LBW infant. Intake of iron-folic acid supplements during pregnancy increased birth weight by 6.46 g per month.

CONCLUSION

Improved intake of micronutrient-rich foods can increase birth weight.

Maternal mercury exposure, season of conception and adverse birth outcomes in an urban immigrant community in Brooklyn, New York, U.S.A

Adverse birth outcomes including preterm birth (PTB: <37 weeks gestation) and low birth weight (LBW: <2500 g) can result in severe infant morbidity and mortality. In the United States, there are racial and ethnic differences in the prevalence of PTB and LBW. We investigated the association between PTB and LBW with prenatal mercury (Hg) exposure and season of conception in an urban immigrant community in Brooklyn, New York. We recruited 191 pregnant women aged 18-45 in a Brooklyn Prenatal Clinic and followed them until delivery. Urine specimens were collected from the participants during the 6th to 9th month of pregnancy. Cord blood specimens and neonate anthropometric data were collected at birth. We used multivariate logistic regression models to investigate the odds of LBW or PTB with either maternal urinary mercury or neonate cord blood mercury. We used linear regression models to investigate the association between continuous anthropometric outcomes and maternal urinary mercury or neonate cord blood mercury. We also examined the association between LBW and PTB and the season that pregnancy began. Results showed higher rates of PTB and LBW in this cohort of women compared to other studies. Pregnancies beginning in winter (December, January, February) were at increased odds of LBW births compared with births from pregnancies that began in all other months (OR7.52 [95% CI 1.65, 34.29]). We observed no association between maternal exposure to Hg, and either LBW or PTB. The apparent lack of association is consistent with other studies. Further examination of seasonal association with LBW is warranted.

Social determinants of maternal self-rated health in South Western Sydney, Australia

Background

From 2000 a routine survey of mothers with newborn infants was commenced in South Western Sydney. The aim of this study is to examine the relationship of maternal self-rated health, as a measure of well-being, to various socio-demographic factors including measures of social capital, country of birth, financial status and employment.

Results

The sample consisted of 23,534 mothers who delivered in South Western Sydney between 2004 and 2006. The data were collected as part of a routine post-partum assessment at 2–4 weeks postpartum. We examined the relationship of self-rated health with socio-demographic variables using binary logistic regression. Worse self-rated health was reported in 4% of women. Variables which were found to be significantly associated with worse self-rated health were: poor financial situation, public housing accommodation, fathers employment, no car access, unplanned pregnancy, maternal smoking, poor emotional and social support, and motherhood being more difficult than expected.

Conclusion

We confirmed the importance of social disadvantage and social isolation as independent risk factors for poor self-reported health. The findings reported here provide further justification for public health interventions which increase support for socially excluded mothers and strengthen their connection to their community.

Dietary intakes of women during pregnancy in low- and middle-income countries

OBJECTIVE

To provide a better understanding of dietary intakes of pregnant women in low- and middle-income countries.

DESIGN

Systematic review was performed to identify relevant studies which reported nutrient intakes or food consumption of pregnant women in developing countries. Macronutrient and micronutrient intakes were compared by region and the FAO/WHO Estimated Average Requirements. Food consumption was summarized by region.

SETTING

Developing countries in Africa, Asia, and the Caribbean and Central/South America.

SUBJECTS

Pregnant women in the second or third trimester of their pregnancies.

RESULTS

From a total of 1499 retrieved articles, sixty-two relevant studies were analysed. The ranges of mean/median intakes of energy, fat, protein and carbohydrate were relatively higher in women residing in the Caribbean and Central/South America than in Africa and Asia. Percentages of energy from carbohydrate and fat varied inversely across studies in all regions, whereas percentage of energy from protein was relatively stable. Among selected micronutrients, folate and Fe intakes were most frequently below the Estimated Average Requirements, followed by Ca and Zn. Usual dietary patterns were heavily cereal based across regions.

CONCLUSIONS

Imbalanced macronutrients, inadequate micronutrient intakes and predominantly plant-based diets were common features of the diet of pregnant women in developing countries. Cohesive public health efforts involving improving access to nutrient-rich local foods, micronutrient supplementation and fortification are needed to improve the nutrition of pregnant women in developing countries.

Prenatal famine and adult health

We review human studies on the relation between acute exposures to prenatal famine and adult physical and mental health. These studies are observational and include exposures to a famine environment by natural or man-made causes or, more commonly, from the interplay between natural and human factors. These natural experiments provide an opportunity to examine long-term outcomes after famine exposures by comparing exposed and nonexposed individuals. The studies show consistent associations between prenatal famine and adult body size, diabetes, and schizophrenia. For other measures of adult health, findings are less robust. A relation between prenatal famine and some reported epigenetic changes may provide a potential mechanism to explain specific associations. Much progress can be made if current separate studies are further analyzed with comparable definitions of exposures and outcomes and using common analytic strategies.

Changes in skinfolds and mid-upper arm circumference during pregnancy in Argentine women

This investigation describes the pattern of changes in mid-upper arm circumference (MUAC), triceps, biceps and subscapular skinfold thicknesses during the course of pregnancy, and its relationship with maternal and newborn outcomes. A prospective cohort of 1066 pregnant women were selected in seven different urban regions in Argentina. Measurements of MUAC were carried out at 16, 28 and 36 gestational weeks. In a subsample of 488 women, triceps, biceps and subscapular skinfold thicknesses were measured. Mean total increase in subscapular, tricipital and bicipital skinfolds from 16 to 36 weeks of gestation were 4.5, 3.6 and 2.6 mm, respectively. MUAC showed a mean increase of 1.7 cm in the same period. Overweight or obese women at the start of pregnancy had lower increases in all measurements compared with women with normal or low body mass index. Maternal anthropometry was related to birthweight; women who gave birth to infants of less than 3000 g had lower average values in all measurements than those who had normal birthweight infants. LMS curves for MUAC and skinfolds by gestational age are presented, which can be used as a reference to assess maternal nutrition status during pregnancy. MUAC, tricipital and subscapular skinfold for gestational age curves are proposed for monitoring maternal nutritional status during pregnancy. MUAC cut-off points of 24.5, 25.5 and 26.5 cm for 16, 28 and 36 weeks of gestation, respectively, are also proposed as a proxy to detect low birthweight.