Likelihood Of Low Birth Weight Research Articles

Maternal dietary diversity and its association with infant birth weight: a healthcare centre based cross-sectional study

BackgroundMaternal nutrition during pregnancy is essential to fetal growth and producing a healthy child. This study aims to investigate the relationship between maternal dietary diversity and neonatal weight among pregnant women referred to health centers in Qazvin.MethodsThis was a cross-sectional study of 1076 pregnant women referred to healthcare centers affiliated by Qazvin University of Medical Sciences from April to June 2019. The dietary information of study participants was collected by a food frequency questionnaire. It was used to determine their dietary patterns by applying a factor analysis with a varimax rotation using SPSS software, version 20. Regarding the women's Dietary Diversity Score (DDS), women were categorized into two groups: inadequate (DDS < 4) and adequate (DDS ≥ 4) dietary diversity. The primary outcome was birth weight, and a log-binomial model was run to test the association between DSS and birth outcomes in the study population. The analysis was performed using SPSS Statistics for Windows version 20.0.ResultsStudy findings revealed that mothers with higher dietary diversity scores were those with normal BMI and normal levels of hemoglobin who had 8–10.9 kg maternal weight gain and were headed by an employed husband (P < 0.05). Furthermore, the risk of low birth weight in newborns of mothers with inadequate dietary patterns was 2.6 times higher (ARR = 95% CI 2.6, 1.4, 5.12) compared to the newborns from mothers with adequate diets.ConclusionInsufficient intake of dietary diversity during pregnancy can potentially increase the likelihood of low birth weight in newborns. Thus, we recommend that health system authorities prioritize the planning for healthy nutrition of pregnant mothers in different geographical regions, specifically remote, rural, and deprived areas of the country.

Association of Vitamin D Intake in Pregnant Women and Birth Weight

Background: Insufficient maternal consumption of vitamin D can have adverse effects on fetal development and increase the likelihood of low birth weight. This research aimed to establish the correlation between the quantity of vitamin D consumed by expectant mothers and the weight of newborns. Methods: This study utilized an analytical observational design with a cross-sectional approach, collecting data from August to November 2022. Information on Vitamin D intake and birthweight was obtained via questionnaire interviews with 96 pregnant women delivering at the University of North Sumatera Hospital or Maharani Women’s and Children Hospital. Semi-Food Frequency Questionnaires (FFQs) served as the data collection instrument. Non-probability consecutive sampling was employed. Statistical techniques, including Chi-square and Fisher's Exact test, were used for data analysis. Findings indicated a prevalence of inadequate vitamin D intake among mothers (3.125%). The mean daily consumption of vitamin D among expectant women was 19.99 μg/day. Mother's education level did not significantly influence the outcome (p=0.589). Results: The results of this study suggest that there was no significant association between maternal age at pregnancy (p=0. 135), gestational age (p=0. 771), parity (p=0958), and baby's sex (p=0. 448) with birth weight. Conclusion: An observed association existed between the prenatal intake of vitamin D and neonatal birth weight in expectant mothers.

The association of state percent uninsured and the likelihood of low birth weight: evidence from the 2016–2019 Pregnancy Risk Assessment Monitoring System

ObjectiveTo evaluate the association of state-level lack of health insurance among women of reproductive age with variation in state low birth weight (LBW) rates. Study designThis cross-section study analyzes data from the 2016–2019 Pregnancy Risk Assessment Monitoring Survey for respondents with singleton, live births. MethodsRespondents were divided into groups by state-level percent of uninsured women aged 19–44 years. Poisson regression was used to model the association between state percent uninsured and likelihood of LBW, controlling for individual sociodemographic and clinical risk factors. Sensitivity analyses were done for Medicaid and non-Hispanic Black subpopulations and alternative state characteristics, including Gini coefficients, total and public welfare expenditures, and state reproductive rights rankings. ResultsIn adjusted multiple regression analyses, compared to respondents from states with <7% uninsured, respondents from states with 7% or more uninsured had an increased risk of LBW status (7–8.99% uninsured: adjusted incidence rate ratio [aIRR] 1.11, 95% confidence interval [CI] 1.04–1.18; 9–11.99% uninsured: aIRR 1.09, 95% CI 1.02–1.17; >11.99% uninsured: aIRR 1.15, 95% CI 1.08–1.22). However, there was no evident dose–response gradient. Sensitivity analyses produced virtually identical findings for subpopulations, and no other state characteristics were significant. ConclusionStates with the highest level of insurance coverage had a significantly lower LBW rate than other states. However, there was little evidence for greater odds of LBW with the highest levels of uninsured. Individual risk factors dominated LBW models, while state differences in income inequality, reproductive health policy, and per capita spending explained little of the variance in LBW.

Effectiveness of brief alcohol interventions for pregnant women: a systematic literature review and meta-analysis

BackgroundPrenatal alcohol exposure (PAE) can result in a range of adverse neonatal outcomes, including Fetal Alcohol Spectrum Disorder (FASD). This systematic review and meta-analysis sought to investigate the effectiveness of brief interventions (BIs) in eliminating or reducing 1) alcohol consumption during pregnancy; and 2) PAE-related adverse neonatal outcomes; and 3) cost-effectiveness of BIs.MethodWe conducted a systematic literature search for original controlled studies (randomized control trials (RCTs); quasi-experimental) in any setting, published from 1987 to 2021. The comparison group was no/minimal intervention, where a measure of alcohol consumption was reported. Studies were critically appraised using the Centre for Evidence-based Medicine Oxford critical appraisal tool for RCTs (1). The certainty in the evidence for each outcome was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) (2). Meta-analysis of continuous and binary estimates of effect-size for similar outcome measures for BIs versus control groups were pooled and reported as mean difference (MD) Hedges’ g and odds ratios (ORs), respectively.ResultsIn total, 26 studies, all from high income countries, met inclusion criteria. Alcohol abstinence outcome available in 12 studies (n = 2620) found modest effects in favor of BIs conditions by increasing the odds of abstinence by 56% (OR = 1.56, 95% confidence interval (CI) = 1.15–2.13, I2 = 46.75%; p = 0.04). BIs effects for reduction in mean drinks/week (Cohen’s d = − 0.21, 95%CI = - 0.78 to 0.36; p = 0.08) and AUDIT scores (g = 0.10, 95%CI = − 0.06 to 0.26; p = 0.17) were not statistically significant. Among seven studies (n = 740) reporting neonatal outcomes, BI receipt was associated with a modest and significant reduction in preterm birth (OR = 0.67, 95% CI = 0.46–0.98, I2 = 0.00%; p = 0.58). No statistically significant differences were observed for mean birthweight or lower likelihood of low birth weight (LBW). Certainty in the evidence was rated as ‘low’. No eligible studies were found on cost-effectiveness of BIs.ConclusionBIs are moderately effective in increasing abstinence during pregnancy and preventing preterm birth. More studies on the effectiveness of BIs are needed from low- and middle-income countries, as well as with younger mothers and with a broader range of ethnic groups.

The association of state level lack of health insurance and the likelihood of low birthweight

Although Medicaid expansion has not been associated with reductions in state low birth weight (LBW) rates, the association of state-level lack of health insurance with LBW is understudied. Given the relevance of state health care policies for birth outcomes, we aimed to examine the association of state level of lack of health insurance among women of reproductive age with variation in state LBW rates.

Partnership, living arrangements, and low birth weight: evidence from a population-based study on Spanish mothers

Birth weight is considered a crucial indicator of individual and population health, as it determines a newborn's growth and development. An extensive body of research has explored various determinants of perinatal health, including the impact of living arrangements. This population-based study analyzes the relationship between mothers' partnership status and household structure and children's low birth weights. It addresses two basic research objectives: on one hand, how living/not living in a couple affects birth weight; on the other, how partnership status impact on birthweight when mothers live in extended households with other non-nuclear members. A novel database provided by the Spanish Office for National Statistics (INE), which links the 2011 census with births registered from 2011 to 2015 (sample size 22,433) is used. Llogistic regression models are estimated tto obtain adjusted odds ratios (OR) for the relative effects of living arrangements and other covariates such as characteristics of births and mothers' socioeconomic profiles, on birth weight. Differences in low-birth-weight rates may be attributed to the dissimilar socio-demographic characteristics of the groups of mothers in the different coresidential situations. Although our models revealed that the impact of the covariates on birth weight was similar to that shown by previous studies, this was not the case for the effect of the main explanatory variable. Contrary to expectations, the presence/absence of a male partner in nuclear or in extended households does not reveal significant protection against low birth weight. Children born in households in which the male partner was absent were not more likely to have a low birth weight. On the other hand, analyzing the possible protective effect of extended households, we did not detect significant differences in the likelihood of low birth weight between single mothers without and with non-nuclear coresidents in their households. Our analysis provides novel evidence regarding the effect of partnership status and household type on perinatal health in Spain. First, contrary to what has been observed in previous studies in Spain and elsewhere, our study shows that living without a partner has no effect on low birth weight. Second, we reveal that households including non-nuclear coresidents are associated with low birth weight suggesting that even in a basically familist societal context such as the Spanish one, the extended family does not fully protect against poor perinatal outcomes.

Modeling the Likelihood of Low Birth Weight: Findings from a Chicago-Area Health System.

This study presents a statistical model of the incidence of low birth weight (LBW) births in a large, Chicago-area hospital system. The study was undertaken to provide a strategic framework for future health system interventions. Administrative and electronic health records were matched to census Zip Code Tabulation Area (ZCTA) household poverty data for 42,681 births in 2016-2019 at seven system hospitals, serving a diverse patient population. A logistic regression model of LBW incidence was estimated to test the independent significance of maternal sociodemographic characteristics after controlling for clinical risk factors. The incidence of LBW was 6.3% overall but 11.3% among non-Hispanic Black patients as compared to 5.1% among non-Hispanic White patients. LBW incidence ranged from 9.2% for patients from the poorest ZCTA (20% + poor households) compared to 5.6% of patients from the most affluent (< 5% poor) ZCTA. Nulliparous patients, patients with pre-existing chronic conditions, and patients with hypertensive disorders of pregnancy were significantly more likely to have LBW births. After controlling for clinical risk factors and poverty level, non-Hispanic Black patients were still over 80% more likely and to have a LBW birth. Studyfindings reveal the joint effects of social and clinical risk factors. Findings profile our highest-risk populations for targeted interventions. Promising prenatal care redesign programs include pregnancy patient navigators, home and group visits, eHealth telemonitoring, improved mental health screening, and diversification of the maternity care workforce. Decreasing LBW births should be a national public health policy priority and will require major investments in the most impacted communities.

The Effects of Precipitation and Temperature on Birth Weight: A Cross-Sectional Study from the Republic of Benin

Climate change, particularly changes in temperature and precipitation, prevents the improvement of maternal and neonatal health (MNH) in low-and middle-income countries (LMICs). Pregnant women and newborns in LMICs are considered the most vulnerable to adverse climate conditions, including extreme heat, floods, and droughts. This study examined the effects of precipitation and temperature on birth weight in the Republic of Benin, emphasizing climatic differences between the southern and northern regions. As a cross-sectional study, we pooled four rounds of Benin Demographic and Health Survey (BDHS) data, identifying 19 646 live births. We investigated the effects of precipitation and temperature on birth weight and the likelihood of low birth weight (LBW) newborns using multivariate multilevel linear and logistic regression models. We found that the average precipitation amount during the nine months before birth was positively correlated with higher birth weight in the south and was associated with a lower likelihood of LBW in the north. During the nine months before birth, a heat wave reduced birth weight by 57.0 g in the north. Furthermore, women and newborns in the north were more susceptible to precipitation and temperature, possibly due to food insecurity. Evaluating the MNH consequences of climate change is imperative for many developing countries facing severe climate change threats. Our findings provide an essential benchmark for future policies in Benin.

Immigration Enforcement and Infant Health

The past two decades were characterized by an unprecedented increase in interior immigration enforcement and heightened stress due to fears of family separation and loss of income among undocumented immigrants. Using vital statistics on infant births from the National Center for Health Statistics for the 2003 through 2016 period and a difference-in-differences design, we compare the health outcomes of infants with likely undocumented mothers before and after the intensification of immigration enforcement within US counties. We find that intensified enforcement, especially during the third trimester, increases the likelihood of low birth weight (<2,500 grams). We also present suggestive evidence that the effect could be driven by heightened stress and fears associated with police-based enforcement during pregnancy. The findings underscore the importance of current immigration policies in shaping the birth outcomes of many American children.

Prevalence and Factors Associated with Low Birth Weight and Preterm Delivery in the Ho Municipality of Ghana

Background. Low birth weight and preterm delivery are birth outcomes that can predict newborns’ survival, development, and long-term health outcomes. This study assessed the prevalence and factors associated with low birth weight and preterm delivery in the Ho Municipality of Ghana. Methods. This retrospective, cross-sectional study analysed data from 680 birth records between October and December 2018. Univariate and multivariate logistic regression models predicted low birth weight and preterm delivery factors. Results. The prevalence of low birth weight and preterm delivery was 12.9% and 14.1%, respectively. Increasing maternal age (AOR: 0.52; 95% CI: 0.28–0.98), multiparity (AOR: 0.54; 95% CI: 0.30–0.94) and increasing doses of sulphadoxine-pyrimethamine (AOR: 0.43; 95% CI: 0.22–0.84) significantly reduced the odds of low birth weight. However, caesarean section (AOR: 1.94; 95% CI: 0.1.16–3.27) and hypertension (AOR: 2.06; 95% CI: 1.27–03.33) significantly increased the likelihood of low birth weight. An increasing number of antenatal care visits (AOR: 0.38; 95% CI: 0.18–0.80) and doses of sulphadoxine-pyrimethamine (AOR: 0.43; 95% CI: 0.19–0.97) were significantly associated with decreased odds of preterm delivery, while caesarean section increased the odds of preterm delivery by two folds (AOR: 2.14; 95% CI: 1.15–3.99). Conclusion. This study shows that maternal age, parity, number of antenatal care visits, hypertension, SP/IPTp, and caesarean section were independently associated with low birth weight and preterm delivery. Education and interventions should be prioritised as vitally important on these factors to reduce the risk and complications associated with these birth outcomes.

Effect of biomass fuel use and kitchen location on maternal report of birth size: Cross-sectional analysis of 2016 Ethiopian Demographic Health Survey data

ObjectivesHousehold air pollution from the use of biomass fuels has been associated with low birth weight in many developing countries. This study aimed to investigate the effect of indoor air pollution from biomass fuels and kitchen location on maternal reports of child size at birth in Ethiopia. Study designA cross-sectional study design based on the secondary data analysis was used. MethodsA secondary data analysis was conducted using data from the 2016 Ethiopian Demographic Health Survey. Birth weight from child health cards and/or mother's recall was the dependent dichotomous variable. Fuel type was classified as high-pollution fuels (i.e. wood, straw, animal dung, crop residues, kerosene, coal and charcoal) and low-pollution fuels (i.e. electricity, liquid petroleum gas, natural gas and biogas). Hierarchical logistic regression was used to assess the effect of fuel type on birth weight. Adjusted odds ratios (AORs) and their 95% confidence interval (CIs) were calculated. A p-value less than 0.05 was considered significant. ResultsThe prevalence of low birth weight was 17% and 26.2% among low- and high-polluting fuel users, respectively. Compared with low-polluting fuels, the use of high-polluting cooking fuels was associated with an increased likelihood of low birth weight (unadjusted crude odds ratio 1.7; 95% CI 1.3, 2.3). AOR remained at 1.7 (95% CI 1.26, 2.3) after controlling for child variables. AOR after controlling for both child and maternal factors was 1.5 (95% CI 1.1, 2.1). In the final model, the association became insignificant with an AOR of 1.3 (95% CI 0.9, 1.9). The kitchen location, gender of the baby, mother's anaemia status, maternal chat chewing and wealth index were significant factors in the final model. ConclusionsIn this study, the use of biomass fuels and kitchen location were associated with reduced child size at birth. Further observational studies should investigate this association using more direct methods for measurement of exposure to smoke emitted from biomass fuels on birth weight.

Health Effects of Trade Liberalization: Evidence from US Counties

This paper explores the potential externality of trade liberalization between the US and China on air pollution and infants’ health outcomes. Exploiting the differential impact of tariff reductions due to trade liberalization across industries combined with compositional variations of industry-specific employment across counties as the main source of identification strategy and using the universe of birth records in the US over the years 1990-2017 (over 97 million observations), we document substantial improvements in birth outcomes of mothers residing in counties with higher exposure to trade policy change. The exposed counties experienced sharp drops in employment specifically for manufacturing industries and revealed sharp reductions in a wide array of pollutants. A 1 percent reduction in tariff rates is associated with an 11.5 and 12.7 percentage point reduction in the likelihood of low birth weight and preterm birth, respectively.

Fetal growth and spontaneous preterm birth in high-altitude pregnancy: A systematic review, meta-analysis, and meta-regression.

To understand the relationship between birth weight and altitude to improve health outcomes in high-altitude populations, to systematically assess the impact of altitude on the likelihood of low birth weight (LBW), small for gestational age (SGA), and spontaneous preterm birth (sPTB), and to estimate the magnitude of reduced birth weight associated with altitude. PubMed, OvidEMBASE, Cochrane Library, Medline, Web of Science, and clinicaltrials.gov were searched (from inception to November 11, 2020). Observational, cohort, or case-control studies were included if they reported a high altitude (>2500m) and appropriate control population. Of 2524studies identified, 59 were included (n=1604770 pregnancies). Data were abstracted according to PRISMA guidelines, and were pooled using random-effects models. There are greater odds of LBW (odds ratio [OR] 1.47, 95% confidence interval [CI] 1.33-1.62, P<0.001), SGA (OR 1.88, 95% CI 1.08-3.28, P=0.026), and sPTB (OR 1.23, 95% CI 1.04-1.47, P=0.016) in high- versus low-altitude pregnancies. Birth weight decreases by 54.7g (±13.0g, P<0.0001) per 1000 m increase in altitude. Average gestational age at delivery was not significantly different. Globally, the likelihood of adverse perinatal outcomes, including LBW, SGA, and sPTB, increases in high-altitude pregnancies. There is an inverse relationship between birth weight and altitude. These findings have important implications for the increasing global population living at altitudes above 2500m.

Environmental Air Quality and Health: Evidence from Trade Liberalization

This paper explores the potential externality of trade liberalization between the US and China on air pollution and infants’ health outcomes. Exploiting the differential impact of tariff reductions due to trade liberalization across industries combined with compositional variations of industry-specific employment across counties as the main source of identification strategy and using the universe of birth records in the US over the years 1990-2017 (over 97 million observations), we document substantial improvements in birth outcomes of mothers residing in counties with higher exposure to trade policy change. The exposed counties experienced sharp drops in employment specifically for manufacturing industries and revealed sharp reductions in a wide array of pollutants. A 1 percent reduction in tariff rates is associated with an 11.5 and 12.7 percentage point reduction in the likelihood of low birth weight and preterm birth, respectively.

Does Treatment of Gingivitis During Pregnancy Improve Pregnancy Outcomes? A Systematic Review and Meta-Analysis.

This study aimed to investigate whether treatment of gingivitis in pregnant women affects pregnancy outcomes. This was a systematic review and meta-analysis of clinical trials using PRISMA guidelines to appraise the treatment of gingivitis on pregnancy outcomes, including preterm birth (less than 37 weeks), low birth weight (less than 2,500 g), gestational age and birth weight. Pooled odds ratios (OR), mean difference, and 95% confidence intervals (CI) were calculated using the random effect model. A search was conducted in databases including Medline, Pubmed, Web of Science, Google Scholar and Embase without restrictions regarding language or date of publication. Three clinical trials comprising 1,031 participants were included in this review. Treatment of gingivitis during pregnancy was associated with a decreased risk of preterm birth (OR = 0.44, 95% CI [0.20-0.98], P = 0.045) and higher birth weight (weighted mean difference (WMD) =105.36 g, 95% CI [36.72-174.01], P = 0.003). Gestational age at birth in the treatment group (WMD = 0.31 weeks, 95% CI [-0.02-0.64], P = 0.64) as well as likelihood of low birth weight (OR = 0.92, 95% CI [0.38-2.21], P = 0.851) did not reach statistical significance. The results of this meta-analysis indicate that treatment of gingivitis in pregnancy may improve pregnancy outcomes including increased infants birth weight and reduced preterm births. Future trials are warranted to validate the true effect size of gingivitis treatment on pregnancy outcomes.

The Hidden Cost of Bananas: Pesticide Effects on Newborns’ Health

We study the effects of aerial fumigation of banana plantations on newborns’ birth weight during the period 2015-2017 in Ecuador. We use mothers’ addresses and information on the perimeter of the plantations to create an individual measure of newborns’ exposure to pesticides. We use this measure to implement three independent identification strategies to address the endogeneity of exposure to aerial fumigations. First, we consider a difference-indifferences strategy that exploits seasonal variations in the use of pesticides across provinces. Second, we estimate a difference-in-differences model that considers geographical variations in the use of pesticides across comparable crops. Third, and finally, we estimate a maternal fixed effects model to examine the effect of pesticides on siblings who had a different residence during gestation and who were exposed to different levels of fumigations. Our first empirical model shows that newborns exposed to pesticides, when their first gestational trimester coincides with the periods of intensive fumigations of the plantations, have a birth weight reduction of between 38 and 89 grams. Moreover, exposure to pesticides increases the likelihood of low birth weight and low Apgar score at the first minute by around 0.35 and 0.33, respectively. The second model finds that newborns exposed to fumigated banana plantations have a birth weight deficit of between 29 and 76 grams, when compared to those exposed to other fumigated crops. Finally, the maternal fixed effect model shows that girl newborns exposed to pesticides have a birth weight deficit of 346 grams when compared to non-exposed siblings.

Impact of Socio-economic Status on Low Birthweight: Decomposing the Differences Between Natives and Immigrants in Spain

In this population-based study, we explored the relationships between immigration, socio-economic status (SES), and perinatal outcomes. We quantified the effects of SES on birthweight disparities between native and immigrant mothers in Spain. We obtained birth and SES data from the 2011 census and administrative registers for years 2011–2015. The associations between origin, statuses, and the likelihood of low birthweight were estimated using logistic regressions. Fairlie’s nonlinear extension of the Oaxaca–Blinder decomposition method was applied to identify the extent to which the differences in birthweight between groups corresponded to socio-economic composition or to rates. Our results showed that African and Latin American mothers exhibited advantage in the perinatal outcomes over native mothers [odds ratio (OR) 0.75; 95% confidence interval (CI) 0.63–0.90 and OR 0.73; 95% CI 0.65–0.82, respectively]. Decomposition analyses revealed that such advantage was not affected by the lower positions within the socio-economic structure that African and Latin American populations occupied.

Immigration Enforcement and Infant Health

The past two decades have been characterized by an unprecedented increase in interior immigration enforcement and heightened stress due to fears of family separation and loss of income among undocumented immigrants. Using vital statistics on infant births from the National Center of Health Statistics for the 2003 through 2016 period and a difference-in-differences design, we compare the health outcomes of infants with likely undocumented mothers before and after the intensification of immigration enforcement within U.S. counties. We find that intensified enforcement, especially during the third trimester, increases the likelihood of low birth weight (<2500 grams). We also present suggestive evidence that the effect could be driven by heightened stress and fears associated to police-based enforcement during pregnancy. The findings underscore the importance of current immigration policies in shaping the birth outcomes of many American children.

Health Differences at Birth between Roma and non‐Roma Children in Hungary: Long‐run Trends and Decomposition

This paper uses birth records linked to census data to document health differences at birth between Roma and non-Roma children in Hungary between 1981 and 2010. It focuses on differences in average birth weight and average gestational age, as well as the likelihood of low birth weight and the likelihood of preterm birth. The paper shows large gaps in all indicators over the 30 years, with a small narrowing of the gap in absolute terms but not in relative terms. Roma mothers are twice as likely to give birth to babies with low birth weight and before the 37th week. Standard decompositions show that around 80% of the gap is explained by socioeconomic factors, and education alone explains more than half. Despite significant changes in society, the explanatory power of education and other factors remains constant. Narrowing the gap in educational attainment, especially at higher levels, may have the highest potential to improve the relative health of Roma births. (This abstract was borrowed from another version of this item.)

Assessing the impact of antenatal care utilization on low birthweight in India: Analysis of the 2015–2016 National Family Health Survey

Low birthweight (LBW) is a serious public health problem in lower-middle income countries. Despite several efforts have been made to improve the utilization of maternal health care, universalization of antenatal care (ANC) remains a major challenge in India. This paper aims to examine the association between the use of ANC services and LBW in India. A cross-sectional observational study was carried out using the data from the 2015 to 2016 National Family Health Survey (n = 147,762). We have carried out bivariate and multivariate analyses to fulfil the objective of this study. About 18% of the sample children were born with LBW. Only ¼th last birth women received full ANC services in 2015–2016. The results of binary logistic regression indicate that the likelihood of LBW was significantly lower among those children whose mother have adequate ANC services compared to those mother who did not receive those services even after accounting for important socioeconomic and demographic factors. The findings of this study suggest that providing affordable and quality ANC services could be an effective strategy to reduce the incidence of LBW. Furthermore, targeted invention is needed among socioeconomically vulnerable women to improve the utilization of ANC services, which could combat the incidence of LBW.