Occurrence Of Low Birth Weight Research Articles

Dietary patterns of Chinese women of childbearing age during pregnancy and their relationship to the neonatal birth weight

ObjectiveTo examine the type of maternal dietary patterns during pregnancy and the distribution characteristics of children’s birth weight and the association between dietary patterns and neonatal birth weight in China.MethodsData were derived from a cross-sectional program named “The prevalence and risk factors of birth defects in Shaanxi Province” in July to November in 2013. A stratified multistage random sampling method was used to select women and their children. The mother’s diet during pregnancy was investigated using semi-quantitative food frequency questionnaire (FFQ) to collect the frequency and amount of food consumption, and the newborn birth weight as well as related social demographic information was collected at the same time. In our study, 0–1 year old children and their mothers with complete dietary survey data were selected as research objects. The main dietary patterns were identified according to factor analysis, and latent class analysis (LCA) was used to investigate the social demographic factors affecting dietary patterns. The logistic regression model was used to assess the association between birth weight and maternal dietary patterns during pregnancy by establishing three adjusting models and the data were stratified for further analysis by urban-rural and regions.ResultsA total of 15,980 participants were involved in this study. Four dietary patterns were identified: “vegetarian pattern”, “balance pattern”, “traditional pattern” and “processing pattern”. Compared with moderate tertile, women in the highest tertile of adherence to vegetarian pattern increased the risk of low birth weight in offspring in rural areas (OR = 1.61, 95%CI:1.06–2.93) and middle region (OR = 1.75, 95%CI:1.18–2.62), and the traditional pattern had greater odds of lower birth weight in the middle region (OR = 1.55, 95%CI:1.05–3.75). The processing pattern was found a protective factor for the occurrence of low birth weight in rural areas (OR = 0.98, 95%CI:0.43–0.99) but was a risk factor for low birth weight in the southern region (OR = 8.83, 95%CI:1.22–15.16). The balance pattern was a protective factor for the occurrence of low birth weight in the northern region(OR = 0.35, 95%CI:0.14–0.83).ConclusionThe vegetarian and traditional pattern may be positively related to a higher risk of low birth weight while the balanced pattern may keep birth weight of offspring within the appropriate range. Health education of balanced diet and individual nutrition guidance during pregnancy should be strengthened, to make the dietary structure during pregnancy are more reasonable, reduce the occurrence of adverse birth weight of newborns.

Number pregnancy and low birth weight (LBW) babies in Anutapura Hospital in Palu City in 2016

This study aims to know relationship the number of pregnancies with LBW in Anutapura Hospital in Palu in 2016. Using analytic method with case-control approach. Samples were obtained by accidental sampling. Samples are 80 in accordance with the inclusion and exclusion criteria. The research instrument using a medical record of patients. Data analysis using Chi-square. Primigravida who delivered babies with LBW were 15 (37.52%) and not LBW as much as 25 (62.5%). Multigravidas gave birth to babies with LBW as much as 6 (15%) and those who did not have LBW as much as 34 (85%). Statistical tests showed association between the number of pregnancies with LBW incidence (P=0.02). The results showed that primigravida was a risk factor for LBW incidence with an odds ratio of 3.4 so that it could be primigravida mothers were 3.4 times more at risk for giving birth to children with low birth weight. There is a relationship of number pregnancy with LBW, that the lower the number of pregnancies the more risk for the occurrence of LBW.

A systematic review on the association of month and season of birth with future anthropometric measures.

Prenatal factors might have some health impacts later in life. This study aims to systematically review the current literature on the association between season and month of birth with birth weight as well as with weight status in childhood. The search process was conducted in electronic databases, including papers published until April 2019 in ISI Web of Science, PubMed, Scopus, and Google Scholar. The following search strategy was used with MeSH terms: ("Seasons"[Mesh]) AND ("Obesity"[Mesh] OR "Pediatric Obesity"[Mesh] OR "Obesity, Abdominal"[Mesh] OR "Overweight"[Mesh] OR "Birth Weight"[Mesh] OR "Body Height"[Mesh]). After the selection process, 50 papers were included in this systematic review. This review showed that individuals who are born in cold season (winter month) have higher body mass index (BMI) and weight in childhood. Birth in March was associated with lower weight and BMI in boys according to most studies. All studies, except one of them, showed that season/month of birth was not associated with birth weight. This systematic review confirms a relationship between season and month of birth with birth weight and body size in childhood; however, the impact of confounding factors, for example, vitamin D status, should be considered in the underlying pathway of this association. The results provide evidence for the effect of season and month of birth on body size in childhood. Our systematic review suggests that there is no pattern between birth weight and season/month of birth, and the occurrence of low birth weight was more frequent among infants who were born in summer than others. Further research should focus on identifying the impact of confounding factors, for example, vitamin D status in the underlying pathway of this association. There was response to the controversial findings about the effect of environment factors, such as season and month of birth, and future anthropometric indices, such as obesity, weight, height, and birth weight. Obesity is a complex and multifactorial disorder; the findings of the current study would be useful in determining the relationship pathway between the season and the month of birth with other underlying factors for childhood obesity.

First trimester use of artemisinin-based combination therapy and the risk of low birth weight and small for gestational age

BackgroundWhile there is increasing evidence on the safety of artemisinin-based combination therapy (ACT) for the case management of malaria in early pregnancy, little is known about the association between exposure to ACT during the first trimester and the effect on fetal growth.MethodsData were analysed from prospective studies of pregnant women enrolled in Mozambique, Burkina Faso and Kenya designed to determine the association between anti-malarial drug exposure in the first trimester and pregnancy outcomes, including low birth weight (LBW) and small for gestational age (SGA). Exposure to anti-malarial drugs was ascertained retrospectively by record linkage using a combination of data collected from antenatal and adult outpatient clinic registries, prescription records and self-reported medication usage by the women. Site-level data synthesis (fixed effects and random effects) was conducted as well as individual-level analysis (fixed effects by site).ResultsOverall, 1915 newborns were included with 92 and 26 exposed to ACT (artemether–lumefantrine) and quinine, respectively. In Burkina Faso, Mozambique and Kenya at recruitment, the mean age (standard deviation) was 27.1 (6.6), 24.2 (6.2) and 25.7 (6.5) years, and the mean gestational age was 24.0 (6.2), 21.2 (5.7) and 17.9 (10.2) weeks, respectively. The LBW prevalence among newborns born to women exposed to ACT and quinine (QNN) during the first trimester was 10/92 (10.9%) and 7/26 (26.9%), respectively, compared to 9.5% (171/1797) among women unexposed to any anti-malarials during pregnancy. Compared to those unexposed to anti-malarials, ACT and QNN exposed women had the pooled LBW prevalence ratio (PR) of 1.13 (95% confidence interval (CI) 0.62–2.05, p-value 0.700) and 2.03 (95% CI 1.09–3.78, p-value 0.027), respectively. Compared to those unexposed to anti-malarials ACT and QNN-exposed women had the pooled SGA PR of 0.85 (95% CI 0.50–1.44, p-value 0.543) and 1.41 (95% CI 0.71–2.77, p-value 0.322), respectively. Whereas compared to ACT-exposed, the QNN-exposed had a PR of 2.14 (95% CI 0.78–5.89, p-value 0.142) for LBW and 8.60 (95% CI 1.29–57.6, p-value 0.027) for SGA. The level of between sites heterogeneity was moderate to high.ConclusionACT exposure during the first trimester was not associated with an increased occurrence of LBW or SGA. However, the data suggest a higher prevalence of LBW and SGA for children born to QNN-exposed pregnancies. The findings support the use of ACT (artemether–lumefantrine) for the treatment of uncomplicated malaria during the first trimester of pregnancy.

Sociodemographic and obstetric factors related to low birth weight in the context of early pregnancy

Abstract Objectives: to analyze sociodemographic and obstetric factors that may influence the occurrence of low birth weight in the context of early pregnancy. Methods: the sample consisted of 232 pregnant teenagers, aged 10-19 years old, were assisted at a public maternity hospital in Aracaju-SE during the period of August 2012 to July 2016. The data collection was conducted through a structured questionnaire. Results: low birth weight was observed in 41.38% of the newborns and there was a statistical association between the educational level and the marital status with the occurrence of low birth weight in newborns among teenage mothers, with p=0.0286 and p=0.0247, respectively. Conclusions: the socioeconomic factors may contribute to the occurrence of low birth weight in newborns of teenage mothers and teenage pregnancy at this age represents a serious public health problem.

An exploratory spatial analysis of low birth weight and its determinants in India

BackgroundLow birth weight (LBW), defined as a live birth weighing less than 2500 g, is a significant public health problem in India. The complex nature of this problem is not fully understood. Moreover, significant disparities in LBW prevalence not only documented across various socio economic groups but across states and districts as well. The identification of spatial patterns of LBW and its determinants is important for understanding epidemiology of this public health challenge. ObjectiveThis paper examines the determinants and spatial patterns of Low birth weight prevalence spatial pattern of LBW and its determinants in India. MethodsUsing fourth round of National Family Health Survey data, regression and spatial analysis have been performed through STATA, ArcGIS and GeoDa software. ResultsThe result indicates lower odds of LBW prevalence among educated mothers, mothers who have more than 4 ANC visit, mothers who took IFA tablets during pregnancy, mothers with normal BMI and mothers with age above 20 years. The Moran's I for LBW is 0.543. It indicates high spatial autocorrelation in LBW over the districts of India The bivariate LISA maps obtained indicate spatial distribution of LBW and independent variables systematically contrasts the districts of central and eastern India (e.g. in Uttar Pradesh) with those of the extreme south (e.g. in Tamil Nadu, Kerala, etc.). ConclusionOur findings reveal greater attention towards maternal and child health care especially for the backward districts in the states of Uttar Pradesh (UP), Madhya Pradesh (MP), Bihar and Rajasthan are needed. Several maternal and social factors leads to the occurrence of low birth weight. Emphasis should be placed on improving the nutritional status of the mothers.

Examining the Relationship Between Low Birth Weight Occurrence and Passive Measures of Environmental Arsenic by Census Tract in Escambia and Santa Rosa Counties, Florida.

Arsenic is a public health concern because of its widespread distribution and high toxicity, even when doses are small. Low birth weight (LBW) occurrence, birth weights less than 2500 g, may be associated with prenatal exposure of arsenic from environmental factors and consuming contaminated drinking water and food. The objective of this study was to examine whether mothers living in areas of Escambia and Santa Rosa counties with varying levels of background arsenic in surface soil and water were associated with the occurrence of LBW. Inverse distance weight in ArcGIS was used to interpolate arsenic concentrations from environmental samples and estimate arsenic concentrations by census tracts in the two counties. After excluding multiple births and displaced geocoding addresses, birth data were obtained for the years of 2005 (n = 5845), 2010 (n = 5569), and 2015 (n = 5770) from the Bureau of Vital Statistics at the Florida Department of Health to assess temporal differences. Generalized linear models were used to analyze and compare the association between child and maternal demographic information, socioeconomic characteristics, and the environmental estimates of arsenic with LBW. No significant association was found between environmental arsenic concentration and LBW, suggesting that environmental contamination of the pregnant mother’s census tract may not be a useful proxy in assessing risk for LBW.

A cross sectional study on demographic factors affecting low birth weight

Background: Low birth weight (LBW) is one of the commonest cause for infant and childhood morbidity and mortality. The majority of low birth weight in developing countries is due to intrauterine growth retardation, while most low birth weight in industrialized countries is due to preterm birth. LBW is the single most important factor determining the survival chances of the child. The objectives of the study were to assess the proportion of low birth weight among babies delivered by mothers at a tertiary care hospital and to analyse the relationship between low birth weight and certain socio-demographic factors.Methods: A cross-sectional study conducted in a tertiary care centre for a period of six months.Results: The prevalence of LBW was 23.5%. The proportion of mothers having low birth weight was maximum in women aged less than 18 years (35%) and more than 30 years (26.5%). Muslim women had a higher proportion of LBW (28.8%). LBW was more in women belonging to joint family (30.0%), low per capita income group and illiterates.Conclusions: The prevalence of LBW still continues to be high, almost one fourth of the babies are LBW. Different socio-demographic characteristics of the population are still the important factors determining the occurrence of LBW.

EXPLORING INDOOR AIR POLLUTION EXPOSURE DURING PREGNANCY AND RISK OF LOW BIRTH WEIGHT IN SEBERANG ULU 1, PALEMBANG

Adverse birth outcomes are determined by a complex combination of genetic, social, and environmental factors. Numerous studies have concluded an association exists between air pollution and low birth weight (LBW). This case-controlled study aimed to analyze the association by using 38 cases (mothers of LBW infants) and 40 controls (mothers of normal birth weight infants) in Seberang Ulu 1, Palembang City. Primary data related to indoor air pollution exposure during pregnancy was collected via structured interviews. The data was analyzed by performing chi-square and multiple logistic regressions within a risk factor model. Exposure to indoor air pollution during pregnancy was associated with the occurrence of LBW (chi-square test, p-value: 0.012, OR 3611 [95% CI 1.415 to 9.215]). No variables were found to have an interaction with the effects of indoor air pollution exposure during pregnancy and the occurrence of LBW. Exposure to indoor air pollution during pregnancy had the most significant impact on LBW occurrences after controlling for maternal age during pregnancy (multiple logistic regression, p-value: 0.019, OR 3.19 [95% CI 1, 21-8.406]).
 Keywords: Indoor air pollution, low birth weight, pregnancy,

Maternal risk factors for low birth weight of neonates in al- diwaniyah province, iraq

The LBW infants as weighting less than 2.5kg at birth. Infants with low birth weight are probable to suffer medical troubles and delay development from the time of delivery to adult life. This study was planned to discover the prevalence of LBW infants in Ad-Diwaniyah city (Iraq) and the maternal risk factors, which contribute to the occurrence of low birth weight, and it is rated and what the suitable recommendations can be made to prevent this problem. Unfortunately, in Iraq, several studies reveal an increase in the delivery of LBW infants in the last years. The present study was aimed to identify the prevalence of LBW and possible maternal factors in children, teaching hospital in Al-Diwaniyah city during the period of the beginning of February 2017 to February 2018. This is a cross-sectional survey held out in Pediatric, teaching hospital through 1012 pregnant mothers giving a live LBW. Whole children weight on a weighing machine. Data was collected through the interview of mothers. Maternal age and education level, socioeconomic condition, number of prenatal visits, interpregnancy interval and maternal diseases, and infant gender were registered in questionnaire format. The result of the current study detects that the rate of LBW was 20.2%. The highest percentage of them (LBW) was preterm 67.4% and full, term (IUGR) 32.5%. 61.5% of the children in the LBW group were male, and 38.4% were female. Besides the outcome indicates that there are many important risk factors contributed to the incidence of LBW, these are; multiple pregnancies were found to be 66.8% of LBW infants, maternal age 21 – 35 years (39.7%), lack of Prenatal Care (60.3%), delivery by cesarean section (70.6%), mothers who illiterate (64.8%), a large number of mothers from the rural area (68.6%), the presence of maternal diseases (63.5%), all these are considered a risk factor. The current study demonstrates the essential elements give rise to low birth weight in neonates are gestational age (preterm delivery), maternal education and age, multiple births, regular prenatal care, cesarean section, and bad obstetric history.

Relationship between the absence of adequate social support during pregnancy and low birth weight

IntroductionLow birth weight is defined as the infant weighing less than 2500g; its origins are multifactorial and its prevalence at the global and national levels is between 4.8% and 9% respectively. Lack of social support has been emphasised as one of the risk factors that may have a high correlation with the occurrence of low birth weight. ObjectiveTo determine the relationship between the absence of social support during pregnancy and low birth weight. MethodsCase–control study in a population of 420 selected mothers in a tertiary hospital from November 2015 to July 2017. In these mothers, an instrument was applied that included sociodemographic variables and validated scales that evaluate social support and coping strategies. For the data analysis, logistic, psychological, biological and social regression models were developed, with variables for a history of vaginosis, living in rural areas, nulliparity, and inadequate social support; which were identified as having the greatest relationship with low birth weight. ResultsIn the final logistic regression model we found that the absence of social support increases the chance of low birth weight by 3.59 fold (OR=4.59; 95% CI, 2.27–9.27; p<0.01). Another significant variable was nulliparity. ConclusionsThe findings support the hypothesis that the absence of adequate social support during gestation is related to low birth weight.

ANEMIA AND LOW BIRTH WEIGHT IN HOSPITAL OF ANUTAPURA PALU

Background &amp; Objective: Low Birth Weight (BBLR) is a major problem in the world, because it can lead to impaired fetal growth, so that the next generation of the nation will have an effect. This study aims to determine the association of anemia with low birth weight occurrence at hopstilal of Anutapura Palu. Material and Methods: The type of research used is quantitative with analytic observational design with Cross sectional approach. The number of samples is 91 respondents determined by Accidential sampling technique. Data analysis is che-square test with a significance level of p &lt;0.05. Results: The results showed that pregnant women who were anemia were 72.5% and LBW was 40.7%. Severe anemia is 4.39%, moderate is 37.3%, and mild is 30.7%. Anemia level has a significant effect on birth weight (ρ = 0,000). Anemia has a significant relationship with the incidence of low birth weight (ρ = 0,000) at Hospital of Anutapura Palu . Conclusion: Anemia in pregnant women has a positive correlation with infant birth weight and is associated with the incidence of low birth weight

Proportion of Low Birth Weight Neonates and Associated Factors Among Mothers Delivered in Wolaita Sodo University Teaching and Referral Hospital, Ethiopia, 2018

Low birth weight continues to remain a major public health problem in Ethiopia in contrast to what is observed in many developing countries. The objective of this studt was to asses the proportion of low birth weight and associated factors among mothers who delivered in Wolaita Sodo University Teaching and Referral Hospital,2018. Retrospective cross-sectional study was employed. A total of 295 study participants were participated and selected by using systematic random sampling techniques. The data was entered and cleaned by Epi info version 7.0 and analyzed using SPSS version 20.0. Bivariate and multivariable logistic regression analysis was used.. Significance was declared at P<0.05 in a multivariable logistic interval with 95% of a confidence interval. The study indicated that 35(12.7%) of the mothers delivered low birth weight In multivariable analysis; Gestational age (AOR=12.203, 95%CI=4.695-31.716), primi (AOR=3.526, 95% CI =1.388-8.955), pregenancy type (AOR=3.491, 95% CI =1.063-11.464). Antenatal care visit (AOR=9.643, 95% CI=1.369-67.937). The finding of this study was low. The quality of cost-effective focused antenatal care, identifying obstetric complications and addressing them timely is recommended as to the occurrence of low birth weight could be minimized.

Berbagai Faktor Risiko Kejadian Bayi Berat Lahir Rendah (BBLR) (Studi di Beberapa Puskesmas Kota Makassar)

Background: Low-birth-weight (LBW) as community health problem have remained as the main cause of prenatal morbidity and mortality. In Indonesia, the occurrence rate of LBW has reached 10,2%. LBW has caused by multifactors such as maternal factor, fetus factor, and environmental factor. The aim of the study was to elaborate if maternal factor and environmental factor are the risk factors contributing to LBW occurrence.Method: The study was based on case control design. The number of samples was 138 respondents who were categorized into 69 cases and 69 controls fulfilling the criteria of inclusion and exclusion. The cases were mothers with babies having birth weight &lt;2500 grams regarding the gestational age, and the controls were mothers with babies having birth weight ≥2500 grams regarding the gestational age. Sampling method to the cases was conducted by consecutive sampling while sampling to the controls was conducted by simple random sampling with matching to sex and location.Results: Maternal factors observed as risk factors contributing to LBW are low nutritional status (OR=5.357; 95%CI=1.985-14.457), illness pregnancy (OR=3.976; 95%CI=1.669-9.476). Maternal factors and environmental factors observed as non-risk factors to LBWN are age &lt; 20 years old or age &gt; 35 years, the spacing of pregnancy &lt; 2 years, the of family members smoking at home, the of a food taboos culture, ANC status &lt; 4x , low social economy status.Conclusion: Low nutritional status, illness pregnancy are risk factors contributing to LBW occurrence. The probability of LBW occurrence when those risk factors observed are 68,87%.

Berbagai Faktor Risiko Kejadian Bayi Berat Lahir Rendah (BBLR) (Studi di Beberapa Puskesmas Kota Makassar)

Background: Low-birth-weight (LBW) as community health problem have remained as the main cause of prenatal morbidity and mortality. In Indonesia, the occurrence rate of LBW has reached 10,2%. LBW has caused by multifactors such as maternal factor, fetus factor, and environmental factor. The aim of the study was to elaborate if maternal factor and environmental factor are the risk factors contributing to LBW occurrence.Method: The study was based on case control design. The number of samples was 138 respondents who were categorized into 69 cases and 69 controls fulfilling the criteria of inclusion and exclusion. The cases were mothers with babies having birth weight &lt;2500 grams regarding the gestational age, and the controls were mothers with babies having birth weight ≥2500 grams regarding the gestational age. Sampling method to the cases was conducted by consecutive sampling while sampling to the controls was conducted by simple random sampling with matching to sex and location.Results: Maternal factors observed as risk factors contributing to LBW are low nutritional status (OR=5.357; 95%CI=1.985-14.457), illness pregnancy (OR=3.976; 95%CI=1.669-9.476). Maternal factors and environmental factors observed as non-risk factors to LBWN are age &lt; 20 years old or age &gt; 35 years, the spacing of pregnancy &lt; 2 years, the of family members smoking at home, the of a food taboos culture, ANC status &lt; 4x , low social economy status.Conclusion: Low nutritional status, illness pregnancy are risk factors contributing to LBW occurrence. The probability of LBW occurrence when those risk factors observed are 68,87%.

THE ANALYSIS OF LOW BIRTH WEIGHT INFANTS IN SINGKAWANG CITY

Abstract: The efforts of decreasing the infant mortality is focused on the causes of infant’s death. One of them is the lowest Birth Weight that can be prevented through a quality and comprehensive antenatal care. The factors that affect the occurrence of low birth weight (LBW) in Singkawang city is age, parity, range of pregnancy, arm circumference, antenatal care, anemia history, newborn weight. The objective study was to determine the factors that affect the occurrence of LBW in Singkawang in 2015. This research employed analytical survey research design with retrospectively approach with cross sectional design. The sample used is the case of newborn with LBW as many as 105 with a ratio of 1: 1 with a total sample of 210 babies. The sample was random sampling. The data analysis used Chi Square and logistic regression test. Chi Square test results showed that there was a significant relationship between age, arm circumference, antenatal care of anemia (p = 0.005, p = 0.013, p = 0.020, p = 0.003) with the incidence of LBW. And there was no significant correlation between parity and range of pregnancy (p = 0.805, p = 0.766). This research is expected to be the basis of evaluating the occurrence of LBW thus it can be detected earlier.Keywords: Age; Parity; Antenatal Care; Arm Circumference; Anemia history; Lowest Birt Weight.

Analisis Pengaruh Penambahan Berat Badan, Kadar Hemoglobin, Dan Riwayat Penyakit Ibu Selama Hamil Dengan Berat Bayi Lahir Pada Kondisi Berat Bayi Lahir Rendah (BBLR) (Study Observasi di RSIA Fauziyah Tulungagung)

Berat Bayi Lahir Rendah (BBLR) merupakan masalah kesehatan yang sering dialami pada sebagian besar masyarakat yang ditandai dengan berat lahir yang kurang dari 2500 gram. Kejadian BBLR pada dasarnya berhubungan dengan kurangnya pemenuhan nutrisi pada masa kehamilan ibu dan hal ini berhubungan dengan banyak faktor dan lebih utama pada masalah perekonomian keluarga sehingga pemenuhan kebutuhan konsumsi makanan pun kurang. Penelitian ini bertujuan untuk menganalisis pengaruh penambahan berat badan, kadar hemoglobin, dan riwayat penyakit ibu selama hamil dengan berat bayi lahir pada kondisi berat bayi lahir rendah (BBLR). Jenis penelitian ini adalah analitik melalui survei dengan menggunakan observasi. Observasi dilakukan dengan menggunakan kartu status ibu atau berkas rekam medis. Sampel pada penelitiaan ini adalah seluruh bayi yang lahir di Rumah Sakit Ibu dan Anak Fauziyah Tulungagung pada bulan Maret 2016 sebanyak 30 bayi. Pengukuran variabel dalam penelitian ini menggunakan skala likert. Tehnik sampling menggunakan sampling jenuh. Data dianalisis dengan menggunakan analisis regresi linier sederhana. Hasil penelitian menunjukkan untuk hipotesa pengaruh secara sendiri-sendiri dilihat dari thitung antara penambahan berat badan ibu selama hamil (X1), kadar hemoglobin (X2), riwayat penyakit (X3)dengan t tabel , ada variabel yang tidak berhubungan secara signiftikan dengan BBLR (Y) yaitu penambahan berat badan ibu selama hamil (X1), kadar hemoglobin (X2). Sedangkan untuk faktor dominan yang mempengaruhi BBLR (Y) adalah riwayat penyakit (X3). Maka dapat disimpulkan bahwa Riwayat penyakit yang diderita oleh ibu pada kehamilan akan mempengaruhi pada plasenta, dimana menyebabkan penurunan aliran darah ke plasenta sehingga akan terjadi kekurangan suplai oksigen dan bahan makanan yang dibutuhkan oleh janin, dan ini menyebabkan gangguan pertumbuhan janin. Oleh sebab itu perlu Meningkatkan pelayanan kesehatan dan lebih memfungsikan sarana prasarana yang tersedia di tempat kesehatan.

Hubungan Antara Anemia dan Kebiasaan Merokok pada Ibu Hamil dengan Kejadian BBLR di Rumah Sakit Umum Pusat Dr. Mohammad Hoesin Palembang Tahun 2016

Low Birth Weight (LBW) is an infant born with a birth weight of less than 2500 grams regardless of gestation. Birth weight is the weight of the baby weighed in 1 hour after birth. (Depkes RI, 2009). Based on WHO and UNICEF data, in 2013 about 222 million babies were born in the world, of which 16% were born with low birth weight. The percentage of LBW in developing countries is 16.5% twice that of developed countries (7%) (Scholar Unand, 2014). The purpose of this study was to determine whether there is a relationship between anemia and Smoking Habit in Pregnant Women with LBW occurrence in General Hospital Dr. Mohammad Hoesin Palembang Year 2016. This research use analytical survey method with cross sectional approach. The population in this study were all mothers who gave birth monthly in Midwifery Installation of Dr. General Hospital Mohammad Hoesin Palembang in 2016 as many as 315 respondents. The sample of this research is some of mothers who give birth enough month in Midwifery Installation of Dr. General Hospital Mohammad Hoesin Palembang Year 2016 as many as 315 respondents. ". From the results of bivariate analysis of anemic respondents with the occurrence of LBW obtained statistical test X2 count = 23.22 which means there is a significant relationship between anemia with the incidence of BBLR. Respondents smoking with the occurrence of LBWR obtained statistical test X2 count = 41.20 which means there is a relationship Meaningful between smoking and LBW incidence. From the results of this study is expected that this research can be a reference material and is a complete information and useful for the development of knowledge about LBW.

Low birth weight and its associated factors.

ABSTRACTObjective To calculate the frequency and evaluate the factors associated with low birth weight.Methods A retrospective study, with data from pregnant women who participated in the Programa de Atenção às Gestantes do Programa Einstein na Comunidade de Paraisópolis, between 2011 and 2014, and who returned for the postpartum evaluation of their newborns. Variables related to the pregnant woman, pregnancy, and newborn were evaluated. The outcome variable was low birth weight, defined as <2.5kg. The associations between the independent variables and low birth weight were assessed by χ2 and Mann-Whitney tests. Logistic regression models analyzed the combined effects of the independent variables on low birth weight.Results Data of 794 pregnant women and their newborns (52.1% males) were analyzed. The age of pregnant women varied from 13 to 44 years (median of 24 years), and the majority reported being married or living in cohabitation (74.7%), and having between 9 to 11 years of schooling (53.4%). The proportion of low birth weight was 7.6% (newborn mean weight of 3.2kg) and, in multivariate analysis, presence of twinning, age group of the pregnant women (showing protection for low birth weight between ages ≥18 years and <35 years), and cesarean section were associated with low birth weight.Conclusion The proportion of low birth weight was 7.6% and twining, age of the pregnant woman, and cesarean delivery were associated with the occurrence of low birth weight.

Determinants of Low Birth Weight among Deliveries at a Referral Hospital in Northern Ethiopia.

Background Low birth weight is the leading cause of infant and child mortality and contributes to several poor health outcomes. Proper knowledge of risk factors of low birth weight is important for identifying those mothers at risk and thereby for planning and taking appropriate actions. This study investigates factors predicting occurrence of low birth weight among deliveries at Debreberhan Referral Hospital. Methods Facility-based unmatched case-control study was conducted among deliveries that took place at Debreberhan Referral Hospital. Birth records and mothers' ANC files were reviewed from April to June 2016. The study participants were selected by consecutive sampling technique. Data analysis was performed by SPSS version 20. Binary logistic regression analysis was performed to identify predictors of low birth weight. Result A total of 147 birth records of babies with low birth weight (cases) and 294 birth records of babies with normal birth weight (controls) were reviewed. The birth weight of low birth weight babies (cases) ranged from 1000 grams to 2400 grams with median (±IQR) of 2200 grams (±300 grams), whereas it ranged from 2500 grams to 4500 grams with median (±IQR) of 3100 grams (±525 grams) among controls. Preterm birth (AOR = 5.32; CI = 2.959–9.567), history of any physical trauma experienced during pregnancy (AOR = 13.714; CI = 2.382–78.941), and history of any pregnancy complication (AOR = 2.708; CI = 1.634–4.487) were predictors of low birth weight. On the other hand, cesarean delivery (AOR = 0.415; CI = 0.183–0.941) and instrumental (AOR = 0.574; CI = 0.333–0.987) modes of delivery as well as maternal history of chronic diabetes (AOR = 0.275; CI = 0.090–0.836) had preventive effect of low birth weight. Conclusion Preterm birth, history of experiencing any physical trauma during pregnancy, and history of any pregnancy complication were predictors of low birth weight, whereas cesarean and instrumental delivery had positive effect to preventing low birth weight.