scholarly journals Risk Factors Correlated with Incidence of Low Birth Weight Cases

2017 ◽  
Vol 4 (3) ◽  
pp. 349
Author(s):  
Anjas Dwi Purwanto
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Birth Interval ◽  
Employment Status ◽  
Maternal Age ◽  
Multiple Pregnancy ◽  
Education Level ◽  
Observational Research ◽  
Pregnancy Hypertension

The infant with Low Birth Weight (LBW) was one of the risk factors that contributed to the high infant mortality, especially in the neonatal period. About 17% from 25 millions birth each year in the world are infant with LBW. LBW could be caused by multifactor that were maternal factors (maternal age, birth interval, parity, anemia), social-economic and behaviour, fetus factor, placental factor, and environmental factor. The research aims was to analyze the risk factors correlated with incidence of LBW. This research was an observational  research with case-control design. The number of samples in this research were 120 mothers who delivered in working area of RSIA Kendangsari in 2014. The subjects were selected used systematic random method. The independent variabels in this research were maternal age, education level, employment status, birth interval, parity, age pregnancy, multiple pregnancy, hypertension, and anemia, while the dependent variable in this research was LBW. Based on correlation analysis used Chi-square test showed there were not significant correlation (p>0,05) between birth interval and parity with LBW cases and there were significant correlations (p<0,05) between age pregnancy, hypertension during pregnancy and anemia with LBW cases. Odds Ratio (OR) were 13,571 on age pregnancy, 2,224 on multiple pregnancy,2,753 on hypertension and 4,030 on anemia. The conlusion showed that the risk factors of LBW cases were age pregnancy, multiple pregnancy, hypertension and anemia. While maternal age, education level, employment status, birth intervaland parity were not had any correlation with LBW cases.Keywords: LBW, risk factors, babies, maternal, pregnancy

scholarly journals Risk Factors Correlated with Incidence of Low Birth Weight Cases

2017 ◽  
Vol 4 (3) ◽  
pp. 349
Author(s):  
Anjas Dwi Purwanto
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Birth Interval ◽  
Employment Status ◽  
Maternal Age ◽  
Multiple Pregnancy ◽  
Education Level ◽  
Observational Research ◽  
Pregnancy Hypertension

The infant with Low Birth Weight (LBW) was one of the risk factors that contributed to the high infant mortality, especially in the neonatal period. About 17% from 25 millions birth each year in the world are infant with LBW. LBW could be caused by multifactor that were maternal factors (maternal age, birth interval, parity, anemia), social-economic and behaviour, fetus factor, placental factor, and environmental factor. The research aims was to analyze the risk factors correlated with incidence of LBW. This research was an observational  research with case-control design. The number of samples in this research were 120 mothers who delivered in working area of RSIA Kendangsari in 2014. The subjects were selected used systematic random method. The independent variabels in this research were maternal age, education level, employment status, birth interval, parity, age pregnancy, multiple pregnancy, hypertension, and anemia, while the dependent variable in this research was LBW. Based on correlation analysis used Chi-square test showed there were not significant correlation (p>0,05) between birth interval and parity with LBW cases and there were significant correlations (p<0,05) between age pregnancy, hypertension during pregnancy and anemia with LBW cases. Odds Ratio (OR) were 13,571 on age pregnancy, 2,224 on multiple pregnancy,2,753 on hypertension and 4,030 on anemia. The conlusion showed that the risk factors of LBW cases were age pregnancy, multiple pregnancy, hypertension and anemia. While maternal age, education level, employment status, birth intervaland parity were not had any correlation with LBW cases.Keywords: LBW, risk factors, babies, maternal, pregnancy

scholarly journals Maternal smoking during pregnancy and socioeconomic factors as predictors of low birth weight in term pregnancies in Nis

2010 ◽  
Vol 67 (2) ◽  
pp. 145-150 ◽  
Author(s):  
Miodrag Stojanovic ◽  
Vladmila Bojanic ◽  
Dijana Musovic ◽  
Zoran Milosevic ◽  
Dusica Stojanovic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Socioeconomic Factors ◽  
Great Influence ◽  
Significant Risk ◽  
Education Level ◽  
Smoking During Pregnancy ◽  
Children Health ◽  
Maternal Smoking During Pregnancy

Background/Aim. Low birth weight (LBW) is a result of preterm birth or intrauterine growth retardation, and in both cases is the strongest single factor associated with perinatal and neonatal mortality. It is considered that socioeconomic factors, as well as mothers bad habits, play the most significant role in the development of LBW, which explains notable number of researches focused on this particular problem. The aim of this study was to characterize socioeconomic factors, as well as smoking habits of the mothers, and their connection with LBW. Methods. The questionnaire was carried out among mothers of 2 years old children (n = 956), born after 37 gestational weeks. The characteristics of mothers who had children with LBW, defined as < 2 500 g, (n = 50), were matched with the characteristics of mothers who had children ? 2 500 g, (n = 906). For defining risk factors, and protective factors as well, we used univariant and multivariant logistic modeles. Results. As significant risk factors for LBW in an univariant model we had education level of the mothers, smoking during pregnancy, smoking before pregnancy, the number of daily cigarettes, the number of cigarettes used during pregnancy, paternal earnings and socioeconomic factors. In a multivariant model the most significant factors were socioeconomic factors, education level of the mothers, paternal earnings and mothers smoking during pregnancy. Conclusion. Smoking during pregnancy and socioeconomic factors have great influence on LBW. Future studies should be carried out in different social groups, with the intention to define their influence on LBW and reproduction, as well. This should be the proper way of adequate health breeding planning for giving up smoking, the prevention of bad habits and melioration of mothers and children health, as the most vulnerable population.

scholarly journals A study of low birth weight prevalence and risk factors among newborns in a public-hospital at Kilis, Turkey

2020 ◽  
Vol 20 (2) ◽  
pp. 709-714
Author(s):  
Hasan Hüseyin Çam ◽  
Muazzez Harunoğulları ◽  
Yadigar Polat
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Cross Sectional ◽  
Important Indicator ◽  
Maternal Risk ◽  
Syrian Refugee

Background: Low birth weight (LBW) is an important indicator of reproductive health and general health status of population. Objectives: The present study was aimed to estimate the prevalence of low birth weight (LBW), and to investigate the associations between some risk factors and LBW in Syrian refugee and Turkish population in Kilis, Turkey. Methods: The population of this study constituted of a total of 4379 infants born in Kilis State Hospital in 2016 using a retrospective cross-sectional study design. The data were collected from birth records. The data were analyzed using SPSS version 16.0. Binary logistic regression analysis was performed to identify predictors of low birth weight. Factors with a p-value < 0.05 were deemed to be statistically significant. Results: The prevalence of LBW was 6.7% in all groups. Significant relationships were found between young maternal age, Syrian refugee mother, female infants, cesarean delivery and LBW. Conclusion: The prevalence of low birth weight in the study area was comparatively lower than that of countrywide figure. Maternal related variables like, maternal age, mother's nationality, and mode of birth (vaginal, cesarean) take after up as well as new-born related variables like gender of the neonate were significantly related with low birth weight. Keywords: Low birth weight; maternal; risk factors,; prevalence.

The Associations of Parental Education Level and Employment Status on the Risks of Low Birth Weight

2012 ◽  
Vol 19 (4) ◽  
pp. 262 ◽  
Author(s):  
Ja Hye Ahn ◽  
Young Hwa Jung ◽  
Seung Han Shin ◽  
Juyoung Lee ◽  
Jin A Sohn ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Employment Status ◽  
Parental Education ◽  
Education Level ◽  
Parental Education Level

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

2019 ◽  
Vol 10 (3) ◽  
pp. 1904-1909
Author(s):  
Adel J. Hussein
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Prenatal Care ◽  
Low Birth Weight ◽  
Cesarean Section ◽  
Teaching Hospital ◽  
Maternal Age ◽  
Maternal Risk Factors ◽  
Socioeconomic Condition ◽  
Maternal Risk

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.

Risk Factors for Low Birth Weight among Neonates Delivered in Public Health Facilities in Adama town, Oromia Regional State, Ethiopia

2019 ◽  
Author(s):  
Nigusse Obse Nebi ◽  
Tolossa Eticha Chaka ◽  
Tilaye Workineh Abebe ◽  
Ephrem Mannekulih M
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Antenatal Care ◽  
Birth Interval ◽  
World Health ◽  
Bivariate Analysis ◽  
Maternal Risk ◽  
Regional State ◽  
History Of

Abstract Back ground: Low birth weight is the major predictor of prenatal mortality and morbidity world wide. It has been defined by the World Health Organization as weight at birth of less than 2,500 grams irrespective of their age. Rate of low birth weight is still high in developing countries like Ethiopia particularly Oromia regional state where adequate primary health care services for maternal and child health are not universally available to all the populations. It is therefore imperative to identify risk factors for low birth weight in various communities in order to come up with feasible intervention strategies to minimize the problem. Methods: Facility based case-control study design was conducted from June-1/2017 to April-30/2018 on 318 mothers with singleton and full term neonates (108 case to 210 control). Semi structured interviewer administered and pretested questionnaire was used by trained data collectors working in delivery ward. The data were entered and analyzed statistical software. Descriptive and bivariate analysis was done. Result The mean maternal age of all study participants was 26.7 years with [SD of 4.8] with mean age for mothers of cases was 25.5 years and for controls was 27.4 years. In bivariet analysis residency being rural (AOR= 1.95 with 95% CI (1.0-3.48), parity ≥2 (AOR= 3.45 (1.89-6.32), number of antenatal care attendance ˂4 visits (AOR= 0.40(0.218-0.73)), birth interval ˂24 moths (AOR= 2.68 (1.45-4.94), history of hypertension (AOR= 0.39(0.18-0.87) and maternal MUAC ˂21cm (AOR=0.38 (0.159-0.91) were found to be statistically significant. Conclusions Variables that were found to have a statically significant relationship with low birth weight were residency being rural, occupation, parity ≥2 & birth interval ≤24months, number of antenatal care attendance ˂4 visits, history of hypertension and maternal MUAC ˂21cm were found to be statistically significant. Key phrases:- Low bith weight, maternal risk factor

scholarly journals MATERNAL RISK FACTORS OF LOW BIRTH WEIGHT (LBW): SYSTEMATIC REVIEW

2021 ◽  
Vol 4 (1) ◽  
pp. 73
Author(s):  
Jianti Fina Lestari ◽  
Risa Etika ◽  
Pudji Lestari
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Maternal Age ◽  
Cochrane Library ◽  
Maternal Risk Factors ◽  
Maternal Risk ◽  
Arm Circumference

Abstract Background: Low Birth Weight Babies (LBW) accounts for 60 - 80% of all neonatal deaths in the world. Not the only major predictor of mortality and morbidity in neonates, individuals with a history of LBW have a greater risk of experiencing various diseases such as hypertension, heart disease, and diabetes later in life. This systematic review study aims to identify maternal risk factors that contributing to LBW Method: Articles published between 2015 - 2020 in the Science Direct, Scopus and Cochrane library databases are systematically reviewed. Eleven articles that met the inclusion and exclusion criteria were included as samples for further review. Results regarding maternal risk factors for LBW events are synthesized systematically .Results: From the search results, there were 818 articles, after the screening process, the final results were 11 articles. Risk factors that are significantly related to LBW incidence in the article, are grouped in the subtheme, include: maternal age (<20 years, and each increase in age), parity (primipara and grandemultipara), low maternal upper arm circumference, hemoglobin levels less than 11 gr / dl, gestational age below 37 weeks, and complications during pregnancy. Conclusion: maternal age, parity, arm circumference, hemoglobin level, gestational age, and complications during pregnancy were significaly found to be maternal risk factors for LBW. 

scholarly journals Risk factors of stunting in children aged 24-59 months

2018 ◽  
Vol 58 (5) ◽  
pp. 205-12 ◽  
Author(s):  
Arya Krisna Manggala ◽  
Komang Wiswa Mitra Kenwa ◽  
Made Me Lina Kenwa ◽  
Anak Agung Gede Dwinaldo Putra Jaya Sakti ◽  
Anak Agung Sagung Sawitri
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
High Risk ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Birth Length ◽  
Maternal Height ◽  
Cross Sectional ◽  
Paternal Education ◽  
Height For Age

Abstract Background Childhood stunting (low height-for-age) still remains a global health problem because it increases the risk of disturbances in growth and development as well as mortality. The prevalence of stunting in Bali is 32.5%, with the highest in Gianyar District at 41%. However, little is known about the risk factors of stunting children in Gianyar. Objective  To investigate the risk factors of stunting in children aged 24-59 months in Gianyar. Methods  This cross-sectional study involved 166 children, collected consecutively, aged 24-59 months, who visited the integrated health posts in 13 community health centers in Gianyar District, Bali from September to November 2016. Stunting is defined as -2SD below the WHO height-for-age z-score (HAZ), according to sex. Statistical analyses were done with Chi-square and multivariate logistic regression tests. Results Of 166 subjects, 37 (22.3%) children were stunted. Multivariate analysis revealed that low paternal education (AOR 2.88; 95%CI 1.10 to 7.55; P=0.031), maternal height less than 150 cm (AOR 7.64; 95%CI 2.03 to 28.74; P=0.003), high risk maternal age (AOR 4.24; 95%CI 1.56 to 11.49; P= 0.005), low birth weight (AOR 5.09; 95%CI 1.03 to 25.31; P=0.047), and low birth length (AOR 9.92; 95%CI 1.84 to 53.51; P=0.008) were strongly associated with stunting. Conclusion  Risk factors for stunting in children are low paternal education, maternal height less than 150 cm, high risk maternal age, low birth weight, and low birth length.

Maternal and Infant Risk Factors on The Incidence of Neonatal Asphyxia in Bali: Case Control Study

2016 ◽  
pp. 120
Author(s):  
N.N. Ayuk Widiani ◽  
D.P. Yuli Kurniati ◽  
I.G.A. Trisna Windiani
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Case Control ◽  
Premature Delivery ◽  
Neonatal Asphyxia ◽  
Nuchal Cord ◽  
Anemia During Pregnancy ◽  
Prolonged Labor

Background and purpose: Indonesia Demographic and Health Survey (IDHS) in 2012 showed neonatal mortality rate (AKN) in Indonesia amounted to 19/1000 live births. The cause was respiratory distress or asphyxia (35.9%), premature delivery, low birth weight (32.4%) and sepsis (12%). Neonatal asphyxia in the last 5 years at Sanglah Hospital in Denpasar relatively stagnant namely: 2010 (8.6%), 2011 (9.3%), 2012 (11.6%), 2013 (8.3%), and 2014 (11.3%). This study aims to identify risk factors of mothers and infants to neonatal asphyxia.Methods: The study design was a case control with a sample of 172 infants of 86 cases and 86 controls were selected randomly from the birth register at Sanglah Hospital in 2015 and matched by age of gestation. Cases were neonatal (0-28 days) borned with asphyxia, while control were neonatal without asphyxia. Data analysis was performed using univariate, bivariate (chi square test) and multivariate using logistic regression.Results: The study finding showed that significant risk factors which increased the incidence of neonatal asphyxia were nuchal cord with adjusted OR (AOR)=6.55 (95% CI: 2.34 to 18.33); anemia during pregnancy with AOR=6.49 (95% CI: 2.21 to 19.03); prolonged labor with AOR=6.27 (95% CI: 1.37 to 28.70), low birth weight with AOR=3.85 (95% CI: 1.61 to 9.18); maternal age <20 years and >35 years with AOR=3.57 (95% CI: 1.48 to 8.61) and hypertension during pregnancy with AOR=2.40 (95% CI: 1.06 to 5.44).Conclusion: Mathernal and infant factors that increased risk of neonatal asphyxia were nuchal cord, anemia during pregnancy, prolonged labor, low birth weight, maternal age <20 years and> 35 years and hypertension during pregnancy.

scholarly journals Risk factors for neonatal mortality at Moewardi Hospital, Surakarta

2014 ◽  
Vol 54 (4) ◽  
pp. 219 ◽  
Author(s):  
Dwi Hidayah ◽  
Yulidar Hafidh
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Birth Weight ◽  
Mortality Rate ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Potential Risk ◽  
Maternal Age ◽  
Delivery Mode ◽  
Potential Risk Factors

Background Neonatal mortality remains a major concern indeveloping countries. Identifying potential risk factors is importantin order to decrease the neonatal mortality rate. In MoewardiHospital, Surakarta, the risk factors for neonatal mortality havenot been assessed.Objective To evaluate potential risk factors of n eonatalmortality.Methods We reviewed medical records of all neonates hospitalizedin the neonatal intensive care unit (NICU) at Dr. MoewardiHospital from January to December 2011. Analyzed variables weresex, birth weight, gestational age, maternal age, place of delivery,mode of delivery, and sepsis. Data were analyzed by Chi square andbinary logistic regression with 95% confidence intervals (CI).Results Out of841 neonates, the mortality rate was 212 (25.2%).Univariate logistic regression revealed that the significant riskfactors for neonatal mortality were preterm (OR 4.41 ; 95%CI4.24 to 4.57; P=0.0001) , low bir th weight (OR 4.30; 95%CI4.13 to 4.47; P=0.0001), sepsis (OR 2.99; 95%CI 2.81 to 3.17;P=0.0001), maternal age 2:35 years (OR 1.53; 95%CI 1.37 to1.70), and non-spontaneous delivery (OR 1.67; 95%CI 1.50 to1.84). Further multivariate regression analysis revealed that thesignificant risk factors were preterm (OR 2.2 7; 95%CI 2.05 to 2.48;P=0.0001), low birth weight (OR 2.49; 95%CI 2.27 to 2.71; P=0.0001), and sepsis (OR 2.50; 95%CI 2.30 to 2.69; P= 0.0001).Conclusion The risk factors for neonatal mortality in the NICUare preterm, low birth weight, and sepsis.

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