Birth Weight Indicators Research Articles

Riskiest in-utero exposure window in a child’s life and its impact on birth weight in India: A sensitivity analysis

Riskiest in-utero exposure window in a child’s life and its impact on birth weight in India: A sensitivity analysis

High ambient air pollution erodes the benefits of using clean cooking fuel in preventing low birth weight in India

A large fraction of the population in rural India continues to use biomass fuel for cooking and heating. In-utero exposure to the resulting household air pollution (HAP), is known to increase the risk of low birth weight (LBW). Mitigating HAP, by shifting to clean cooking fuel (CCF), is expected to minimize the risk associated with LBW. However, India also has high levels of ambient air pollution (AAP). Whether exposure to AAP modifies the effect of reducing HAP by switching to CCF on LBW is not known. The present study addressed this knowledge gap by analyzing the National Family Health Survey (2019–21) data of the most recent full-term, singleton, live births from rural households born after 2017 (n = 56 000). In-utero exposure to AAP was calculated from satellite-derived ambient fine particulate matter (PM2.5) concentration at the level of the primary sampling unit for the pregnancy duration of the mothers. The moderation by ambient PM2.5 level on the odds of LBW among CCF users was examined by logistic regression analysis with interaction. The adjusted odds ratio (aOR) of LBW was 7% lower among users of CCF. At the lowest Decile (20–37 μg m−3) of ambient PM2.5 exposure, the aOR of LBW among CCF users was 0.83 (95% CI:0.81–0.85). At every 10th percentile increase in ambient PM2.5 exposure (in the range 21–144 μg m−3), aOR increased gradually, reaching the value of 1 at PM2.5 level of 93 μg m−3. Our results, therefore, suggest that the benefit of using CCF during pregnancy may be downgraded by moderate to high ambient PM2.5 exposure.

Investigating the association between floods and low birth weight in India: Using the geospatial approach

BackgroundFrequent natural disasters like floods pose a major threat to India, with significant implications for public health. Low birth weight (LBW) is a critical global health concern, contributing to neonatal mortality. However, the association between floods and LBW remains underexplored. This study aims to address this gap by investigating the association between flood hazards and LBW in India using a geospatial approach. By analyzing data from the National Family Health Survey (NFHS-5) and flood zonation maps, the study aims to uncover the spatial dynamics of this association, offering insights into the implications of floods on birth weight across diverse geographical regions. MethodsThe study used the fifth round of NFHS data, 2019–21, which involved 202,194 children selected through a multi-stage stratified sampling technique. The Vulnerability Atlas of India 2019 maps were also utilized to classify areas as flood or non-flood zones. Birth weight data from the NFHS-5 were categorized into three groups: very low, low, and normal birth weight (VLBW, LBW and NBW). Control variables including flood exposure, socio-demographic attributes, and geographic region were considered. Bivariate analysis and multinomial logistic regression were employed for statistical analysis. The spatial analysis involved Moran's I statistics and Geographically Weighted Regression to explore spatial dynamics of the association between floods and birth weight in India. ResultsFloods predominantly affect India's lower Himalayan belts and western coastal regions. Flood-affected areas show higher proportions of VLBW and LBW infants. Groundwater usage and unimproved sanitation are associated with higher risk of VLBW and LBW. Sex, wealth, maternal education, residence type, and geographic region significantly influence birth weights. Multinomial logistic regression reveals 8 % and 27 % higher risks for LBW and VLBW in flood-affected regions. LISA cluster maps identify high-risk areas for both LBW and floods. Geographically Weighted Regression highlights 52 % of the variability in LBW occurrences can be attributed to the influence of flood hazards. Families hailing from the poorest wealth background and exposed to flood hazards bear a 5 % heightened likelihood of delivering LBW infants, in stark contrast to their counterparts from the same economic background yet unaffected by floods. ConclusionsThe significant association between floods and LBW underscores the importance of robust disaster preparedness and public health strategies. By unraveling the spatial intricacies of flood-induced LBW disparities, this research provides valuable insights for promoting healthier birth outcomes and reducing child mortality rates, particularly in flood-prone regions. These findings emphasize the importance of holistic policies that address both environmental challenges and socioeconomic inequalities to safeguard maternal and infant health across the nation.

Participation in Conditional Cash Transfer Program During Pregnancy and Birth Weight–Related Outcomes

There is limited evidence of the association of conditional cash transfers, an important strategy to reduce poverty, with prevention of adverse birth-related outcomes. To investigate the association between receiving benefits from the Bolsa Família Program (BFP) and birth weight indicators. This cohort study used a linked data resource, the Centro de Integracao de Dados e Conhecimentos Para Saude (CIDACS) birth cohort. All live-born singleton infants born to mothers registered in the cohort between January 2012 and December 2015 were included. Each analysis was conducted for the overall population and separately by level of education, self-reported maternal race, and number of prenatal appointments. Data were analyzed from January 3 to April 24, 2023. Live births of mothers who had received BFP until delivery (for a minimum of 9 months) were classified as exposed and compared with live births from mothers who did not receive the benefit prior to delivery. Low birth weight (LBW), birth weight in grams, and small for gestational age (SGA) were evaluated. Analytical methods used included propensity score estimation, kernel matching, and weighted logistic and linear regressions. Race categories included Parda, which translates from Portuguese as "brown" and is used to denote individuals whose racial background is predominantly Black and those with multiracial or multiethnic ancestry, including European, African, and Indigenous origins. A total of 4 277 523 live births (2 085 737 females [48.8%]; 15 207 among Asian [0.4%], 334 225 among Black [7.8%], 29 115 among Indigenous [0.7%], 2 588 363 among Parda [60.5%], and 1 310 613 among White [30.6%] mothers) were assessed. BFP was associated with an increase of 17.76 g (95% CI, 16.52-19.01 g) in birth weight. Beneficiaries had an 11% lower chance of LBW (odds ratio [OR], 0.89; 95% CI, 0.88-0.90). BFP was associated with a greater decrease in odds of LBW among subgroups of mothers who attended fewer than 7 appointments (OR, 0.85; 95% CI, 0.84-0.87), were Indigenous (OR, 0.73; 95% CI, 0.61-0.88), and had 3 or less years of education (OR, 0.76; 95% CI, 0.72-0.81). There was no association between BFP and SGA, except among less educated mothers, who had a reduced risk of SGA (OR, 0.83; 95% CI, 0.79-0.88). This study found that BFP was associated with increased birth weight and reduced odds of LBW, with a greater decrease in odds of LBW among higher-risk groups. These findings suggest the importance of maintaining financial support for mothers at increased risk of birth weight-related outcomes.

In-utero exposure to ambient PM2.5 and the risk of low birth weight in India

In-utero exposure to ambient PM2.5 and the risk of low birth weight in India

Household Wealth Gradient in Low Birthweight in India: A Cross-Sectional Analysis.

A low birthweight is a common complication that can result from numerous physiological, environmental, and socioeconomic factors, and can put babies at an increased risk for health issues such as breathing difficulties, developmental delays, and even death in severe cases. In this analysis, I aim to assess the differences in the burden of low birthweight based on household wealth status in India using data from the latest National Family Health Survey (NFHS 2019-21). The sample population includes 161,596 mother-child dyads. A low birthweight is defined as a weight that is <2500 g at birth. I used descriptive and multivariate regression analyses in R studio to analyse the data. The findings show that 16.86% of the babies had a low birthweight. At the state level, the percentage of low birthweights ranges from 3.85% in Nagaland to 21.81% in Punjab. The mean birthweights range from 2759.68 g in the poorest, 2808.01 g in the poorer, 2838.17 g in the middle, 2855.06 g in the richer, and 2871.30 g in the richest wealth quintile households. The regression analysis indicates that higher wealth index quintiles have progressively lower risks of low birthweight, with the association being stronger in the rural areas. Compared with the poorest wealth quintile households, the risk ratio of low birthweight was 0.90 times lower for the poorer households and 0.74 times lower for the richest households. These findings indicate that household wealth condition is an important predictor of low birthweight by which low-income households are disproportionately affected. As wealth inequality continues to rise in India, health policymakers must take the necessary measures to support the vulnerable populations in order to improve maternal and infant health outcomes.

Prevalence and correlates of low birth weight in India: findings from national family health survey 5

BackgroundChildhood mortality and morbidity has become a major public health issue in low-middle-income countries. However, evidence suggested that Low birth weight(LBW) is one of the most important risk factors for childhood deaths and disability.This study is designed to estimate the prevalence of low birth weight (LBW) in India and to identify maternal correlates associated with LBW.MethodsData has been taken from National Family Health Survey 5 (2019–2021) for analysis. 149,279 women belonging to reproductive age group (15–49) year who had last recent most delivery preceding the NFHS-5 survey.ResultsMother's age, female child, birth interval of less than 24 months, their low educational level, low wealth index, rural residence, lack of insurance coverage, women with low BMI, anaemia, and no ANC visits during pregnancy are predictors that contribute to LBW in India. After adjusting for covariates, smoking and alcohol consupmtion is strongly correlated with LBW.ConclusionMother’s age, educational attainment and socioeconomic status of living has a highly significant with LBW in India. However, consumption of tobacco and cigarrettes are also associated with LBW.

Prevalence and Determinants of Low Birth Weight in India: Findings From a Nationally Representative Cross-Sectional Survey (2019-21).

Low birth weight (LBW) is an important public health indicator extensively linked to infant and child mortality, especially in lower-middle-income countries (LMICs). Globally, 15.5% of all infants are born with LBW while 95% of these occur in LMICs. This study aims to examine the prevalence and determinants of LBW in India. Data were obtained from the fifth National Family Health Survey (NFHS) round conducted during 2019-2021. The study sample included women aged 15-49 years who had a singleton pregnancy in the five years preceding the survey (N=175,240). A bivariate analysis was carried out and a logistic regression model was fitted to assess the maternal determinants affecting the birth weight among newborns. A total of 175,240 mothers were included in the present study. The proportion of newborns with LBW was 17.29% (n=26366, 95% confidence interval [CI] 17.01, 17.57), of which 6% (n=1450, 95% CI 5.61, 6.41) had very low birth weight (less than 1500 g). An increase in the education level of womenor wealth index also resulted in significantly reduced odds of LBW in the newborn. However, the number of antenatal care (ANC) visits lacked any statistically significant association with the odds of having a newborn with LBW. The burden of LBW in India in recent years has remained stable despite impressive economic growth and increased public health spending on food security and nutritional supplementation. Strengthening the quality of ANC services for pregnant women with a focus on sensitization and awareness generation for improving maternal nutrition requires high prioritization.

Maternal risk factors associated with term low birth weight in India: A review

Low birth weight is one of the leading factors for infant morbidity and mortality. To a large extent affect, various maternal risk factors are associated with pregnancy outcomes by increasing odds of delivering an infant with low birth weight. Despite this association, understanding the maternal risk factors affecting term low birth weight has been a challenging task. To date, limited studies have been conducted in India that exert independent magnitude of these effects on term low birth weight. The aim of this review is to examine the current knowledge of maternal risk factors that contribute to term low birth weight in the Indian population. In order to identify the potentially relevant articles, an extensive literature search was conducted using PubMed, Goggle Scholar and IndMed databases (1993 – Dec 2020). Our results indi­cate that maternal age, educational status, socio-economic status, ethnicity, parity, pre-pregnancy weight, maternal stature, maternal body mass index, obstetric history, maternal anaemia, gestational weight gain, short pregnancy outcome, hypertension during pregnancy, infection, antepartum haemorrhage, tobacco consumption, maternal occupation, maternal psychological stress, alcohol consumption, antenatal care and mid-upper arm circumference have all independent effects on term low birth weight in the Indian pop­ulation. Further, we argue that exploration for various other dimensions of maternal factors and underlying pathways can be useful for a better understanding of how it exerts independent association on term low birth weight in the Indian sub-continent.

Paternal characteristics associated with low birth weight in India

Paternal characteristics associated with low birth weight in India

Determinants of very low birth weight in India: The National Family Health Survey - 4.

Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India and compare it with the determinants of LBW based on the National Family Health Survey - 4 (NHFS-4) Methods Data from the NFHS-4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant-mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight<1500 g) or LBW (birth weight: 1500-2499 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15-1.60), among mothers aged 13-19 years (aOR: 1.58, 95% CI: 1.22-2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34-1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31-1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29-1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70-30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02-1.15 and primary education; aOR: 1.16, 95% CI: 1.08-1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03-1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03-1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.

FETAL ABDOMINAL SUBCUTANEOUS TISSUE THICKNESS FOR ESTIMATING FETAL BIRTH WEIGHT MEASURED BY ULTRASOUND – ITS RELIABILITY AND ACCURACY IN INDIAN POPULATION

Context: Estimated Fetal weight (EFW) inuences the management and outcome of pregnancy. Commonly used ultrasound fetal weight estimation like Hadlock four parameter method(Hadlock-4) based on fetal biometry is widely used. These formulas show variable degrees of error which is more evident in fetuses with nutritional and metabolic issues; better accuracy of fetal weight estimation can be obtained by incorporation of fetal soft tissue parameters like the fetal subcutaneous tissue in the weight estimation process. To determine if measurement of fetalAims: abdominal subcutaneous tissue thickness (FASTT) for Estimating Fetal birth weight by ultrasound in Indian population. Settings and Design: Method and Materials:Prospective observational study, A study was done in Department of Radio- diagnosis facility of K.V.G. Medical College and Hospital, Sullia, enrolling 100 women of third trimeter pregnancy who underwent ultrasonography and delivered within one week of scan. Abdominal subcutaneous fat tissue thickness of the fetuses was measured, from the inner to the outer aspect of the echogenic subcutaneous fat at the level of the abdominal circumference (AC). Pearson coefcient. Mean age of 100 ladies enrolled was 26 years and 4 months.Statistical analysis used: Results: FASTT was positively correlated with actual birth weight (Pearson's, r = 0.69, p &lt; 0.001). FASTT of &gt; 8.9 mm was sensitive to predict large for gestational age (LGA) babies. FASTT can be used as an additional indicator to predict large forConclusion: gestational age babies along with other known birth weight indicators to make it more reliable in Indian context.

Maternal Nutrition and Birth Weight in Dual Nutrition Burden Era

In the 1970s low dietary intake, pre-pregnancy under-nutrition and low weight gain during pregnancy were thought to be the major factors responsible for over 1/3rd of infants being born with low birth weight in India. Over decades there has been improvement in nutritional status of women; currently both maternal under-nutrition and over-nutrition are major public health problems. Despite improvement in maternal nutritional status, there has been no improvement in birth weight. A study was taken up in women from urban low-middle-income families, to assess maternal nutritional status, weight gain during pregnancy and birth weight; in a sub-group of women the magnitude of residual post-pregnancy weight retention was investigated. Urban women from low-middle-income families (1235) attending antenatal clinics in primary health care institution or receiving antenatal care in community settings, were enrolled for this longitudinal observational study. Gestational age and weight were recorded in 1235 women during 4467 antenatal visits. Mean weight gain in 2nd and 3rd trimester was 7.5 kg. Data on birth-weight was available in 853 women; mean birth-weight was 2.7 kg. In 145 women in whom pre- and post-pregnancy weight was available; the post-pregnancy weight retention was 1.9 kg. Women were heavier before and during pregnancy and there has been improvement in pregnancy weight gain as compared to two decades ago but there was no change in mean birth-weight. Screening, identifying under- or over-nourished pregnant women and providing them with appropriate nutrition and health care can enable improvement in maternal nutrition and birth weight.

Determinants of very low birth weight in India: The National Family Health Survey – 4

Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India and compare it with the determinants of LBW based on the National Family Health Survey – 4 (NHFS-4) Methods Data from the NFHS-4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant–mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight<1500 g) or LBW (birth weight: 1500-2499 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15–1.60), among mothers aged 13–19 years (aOR: 1.58, 95% CI: 1.22–2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34–1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31–1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29–1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70–30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02–1.15 and primary education; aOR: 1.16, 95% CI: 1.08–1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03–1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03–1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.

Decadal change in the association between the status of young mother\u2019s Body Mass Index and anaemia with child low birth weight in India

BackgroundThe study aims to investigate the changes in the socio-economic and demographic status of young mothers of age 15–24 years and to examine the association between mothers’ nutrition, i.e., Body Mass Index (BMI) and anaemia with child low birth weight for almost two decades during 1998–2016 in India.MethodsNational Family Health Survey (NFHS) round II and IV were used. The sample of this study included 3405 currently married young mothers from NFHS II and 44,742 from NFHS IV who gave birth at least one child in the last three years preceding the surveys. Logistic regression and Blinder-Oaxaca decomposition analysis have been used in this study to examine the corresponding association between the concerned variables.ResultsThe analysis showed that the prevalence of low birth weight (LBW) babies has decreased from 26.1 to 22.8 for the 15 to 19 age group and from 20.4 to 18.7 for the 20 to 24 age group over time. Young mothers with low BMI or severe anaemia have shown higher odds of having LBW babies. For instance, the odds of having a LBW child was 1.44 (p-value = 0.000; 95% CI: 1.05, 1.65) for mothers with low BMI and 1.55 (p-value = 0.000; 95% CI: 1.27, 1.90) with severe anaemia. Over the decade, the association of LBW babies with mothers’ nutrition has decreased. The odds of LBW with mothers with low BMI decreased from 1.63 (p-value = 0.004; 95% CI: 1.21, 2.21) to 1.41 (p-value = 0.000; 95% CI: 1.27, 1.55). Similarly, mothers with severe anaemia, the odds of LBW child decreased from 2.6 (p-value = 0.000; 95% CI: 1.75, 3.8) in 1998 to 1.3 (p-value = 0.024; 95% CI: 1.02, 1.65) in 2016.ConclusionsThe maternal and child health improvement in India has been moderate over the decade. Still, a significant proportion of the women are suffering from poor health and young mothers are at more risk to deliver LBW babies. It is highly recommended to integrate maternal and child health programmes with the ongoing health policies to improve the situation while taking additional care of the young pregnant mother and their nutritional health.

Determinants of very low birth weight in India: The National Family Health Survey – 4

Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India based on the National Family Health Survey – 4 (NHFS-4). Methods Data from the NFHS 4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant–mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight&lt;1500 g) or LBW (birth weight &lt;2500 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15–1.60), among mothers aged 13–19 years (aOR: 1.58, 95% CI: 1.22–2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34–1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31–1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29–1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70–30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02–1.15 and primary education; aOR: 1.16, 95% CI: 1.08–1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03–1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03–1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.

Neonatal Morbidity Patterns and Admission Outcomes: A Cross Sectional Study at a Tertiary Care Hospital in Pakistan

Objective: To determine the neonatal mortality and ascertain the disease patterns at neonatal ward in a tertiary care hospital&#x0D; Material and Methods: &#x0D; Design: Hospital based cross sectional study.&#x0D; Participants: Two thousand, two hundred and seventy five neonates were registered using retrospective data from 1st January 2020 to 31st Dec 2020. We recorded gender, birth weight, cause of admission, and admission outcome. Data was analyzed using Microsoft excel data spread sheet.&#x0D; Results: There were 2275 patients registered from CPDR (complete patient data record register) from 1st January 2020 to 31st Dec 2020. The mean birth weight was 2.35 kg, with lowest birth weight of 0.9kg and highest birth weight of 4.8kg (SD 0.8 and SE 0.01, CI 0.025). Out of 2175 admitted neonates 506 (23.2%) died, 1250 (57.4%) were discharged after desired improvement, most common presenting complaint and cause of admission was HIE grade 1 , followed by Sepsis, 418 (18.5%), 380(16.9%), respectively.&#x0D; Conclusions: Hypoxic Ischemic Encephalopathy grade I is the most common morbidity pattern in our study, the mortality rate was observed very high, indicators of birth weight were also poor. There is a great need for improvement of antenatal care for mothers to enhance different measures of newborn welfare and wellbeing.

Value of fetal abdominal subcutaneous tissue thickness via ultrasound in prediction of birth weight

Background: Multiple interactions between maternal, foetal, and placental effects impact the development of the foetus. Numerous aspects of perinatology need that the foetal development rate correspond with its age. Abnormal foetal development can lead to prenatal and postnatal complications and is associated with an increase in infant morbidity and mortality, given that foetal weight is one of the most influential factors influencing newborn survival. The goal of this study was to evaluate the accuracy of fetal abdominal subcutaneous tissue thickness (FASTT) measured by ultrasonography at term and correlate it with the actual birth weight (BW) recorded at the time of delivery. Methods: This study prospective observational study was carried out on 60 singleton pregnant ladies and normal viable ongoing pregnancies at 37-39th week. Women underwent the following procedures: history taking, abdominal examination, abdominal ultrasonographic examinations (at 37-39 weeks), and follow-up after delivery for the recording of the post-natal fetal weight. Results: The mean resistive index was 0.61±0.01 among the participants while the mean FASTT was 6.8± 1.8 mm. Cut-off value of FASTT for large babies obtained by using ROC curve was 4.55 mm. Sensitivity for FASTT >4.5 mm for gestational age babies is 91.7% and specificity is 65.4%. There was statistically significant positive correlation between FASTT and weight at birth in grams. There were 44% had vaginal delivery and 56% had caesarean delivery. There were 14% had preterm labor. The mean weight at birth was 3227±642.7 g among the participants. Conclusions: The relationship between FASTT and BW is favourable. 4.55 mm was the FASTT cutoff threshold for large newborns. The sensitivity and specificity for FASTT >4.5 mm in newborns of gestational age are 91.7% and 65.4%, respectively. In addition to other well-established birth weight indicators, FASTT can be used to predict newborns who are big for their gestational age.

КРУПНОВЕСНЫЕ НОВОРОЖДЕННЫЕ ДЕТИ: ОСОБЕННОСТИ РАННЕЙ НЕОНАТАЛЬНОЙ АДАПТАЦИИ

According to various authors, obesity programming factors act at the early stages of development: fetus – newborn – young child. High birth weight indicators may be due to a genetic predisposition to obesity in childhood and contribute to an imbalance of energy systems in adults. We conducted a longitudinal observational study, during which we analyzed the absolute numbers and frequency of births of large­weight newborns for 20 years (the period from 2002 to 2021) in Health Care Institution “5th City Clinical Hospital of Minsk”. The purpose of our study was to evaluate the anthropometric characteristics of mothers of large­weight newborns in the pre­ and gravidar period, as well as to study the features of early neonatal adaptation of these children. It was found that the birth rate of large­weight children has no tendency to decrease, as well as to increase. Metabolic syndrome and hypothyroid state of the mother may be predictors of the formation of macrosomia in the fetus. Large­ weight newborns belong to the risk group for the development of hypoglycemia in the early neonatal period. Conflict of interests. The authors declare that there is not conflict of interests.

National and subnational trends of birthweight in Peru: Pooled analysis of 2,927,761 births between 2012 and 2019 from the national birth registry

SummaryBackgroundNational and subnational characterization of birthweight profiles lacks in low- and middle-income countries, yet these are needed for monitoring the progress of national and global nutritional targets. We aimed to describe birthweight indicators at the national and subnational levels in Peru (2012-2019), and by selected correlates.MethodsWe studied mean birthweight (g), low birthweight (<2,500 g) and small for gestational age (according to international growth curves) prevalences. We analysed the national birth registry and summarized the three birthweight indicators at the national, regional, and province level, also by geographic area (Coast, Highlands, and Amazon). With individual-level data from the mother, we described the birthweight indicators by age, educational level and healthcare provider. Following an ecological approach (province level), we described the birthweight indicators by human development index (HDI), altitude above sea level, proportion of the population living in poverty and proportion of rural population.FindingsMean birthweight was always the lowest in the Highlands (2,954 g in 2019) yet the highest in the Coast (3,516 g in 2019). The same was observed for low birthweight and small for gestational age. In regions with Coast and Highlands, the birthweight indicators worsen from the Coast to the Highlands; the largest absolute difference in mean birthweight between Coast and Highlands in the same region was 367 g. All birthweight indicators were the worst in mothers with none/initial education, while they improved with higher HDI.InterpretationThis analysis suggests that interventions are needed at the province level, given the large differences observed between Coast and Highlands even in the same region.FundingWellcome Trust (214185/Z/18/Z)