scholarly journals Specific weights of nineteen explanatory variables in low birth weight in the Mayan Zone of the Mexican state of Quintana Roo according to the Multiple Logistic Regression Model. Analytical observational epidemiological study of cases and controls

2021 ◽  
Vol 2 (2) ◽  
pp. 3486-3509
Author(s):  
José Franco–Monsreal ◽  
Lidia Esther del Socorro Serralta–Peraza ◽  
Javier Jesús Flores–Abuxapqui
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Epidemiological Study ◽  
Maternal Age ◽  
Age At Menarche ◽  
Positive Contribution ◽  
Multiple Logistic Regression ◽  
Maternal Weight ◽  
Explanatory Variables

Low birth weight is an indicator that allows predicting the probability of survival of a child. In fact, there is an exponential relationship between weight deficit, gestational age, and perinatal mortality. In addition, it is important to indicate that a percentage of term children (37 ≤ weeks of gestation ≤ 41) who have low birth weight present with various sequelae of variable severity –especially in the neurological sphere– and hence the importance of predicting the presentation of low birth weight. Multiple Logistic Regression is one of the most expressive and versatile statistical instruments available for data analysis in both clinical and epidemiology. Its origin dates to the sixties with the transcendent work of Cornfield, Gordon & Smith on the risk of suffering from coronary heart disease and, in the way we know it today, with the contribution of Walter & Duncan in which addresses the issue of estimating the probability of occurrence of a certain event based on several variables. Its use has been universalized and expanded since the early eighties, due to the computer facilities available since then. Quantitative approach. The study design corresponds to that of an analytical observational epidemiological study of cases and controls with directionality response variable→explanatory variables and with prospective temporality. One thousand eight hundred fifteen newborns were studied [178 (9.81%) cases and 1,637 (90.19%) controls], which corresponds to nine controls per case. All term newborns (37 ≤ weeks of gestation ≤ 41) with weights < 2,500 g and ≥ 2,500 g were defined, respectively, as a case and as a control. The values obtained from the β Exponents or Odds Ratios indicate the positive contribution (OR> 1) in ascending numerical order of the explanatory variables alcoholism (0.0018); low socioeconomic level (0.5694); initiation of prenatal care from or after the 20th week of gestation (0.6116); birth interval ≤ 24 months (0.7942); age at menarche ≤ 12 years (1.0792); “unmarried” marital status (1.0961); female gender of the product (1.1271); maternal weight < 50 kg (1.4700); history of abortion(s) (1.5407); number of deliveries = 1 (1.5524); number of prenatal visits ≤ 5 (1.5966); type of delivery or abdominal birth route (1.6169); smoking (2.2019); number of deliveries ≥ 5 (2.2714); maternal age ≤ 19 years (2.4827); maternal age ≥ 36 years (2.8070); pathological obstetric history (4.0735); pathological personal history (4.6475); and maternal height < 150 cm (5.5092).

Prevalence of Low Birth Weight and its Determinants in an Urban Resettlement Area of Delhi

2004 ◽  
Vol 16 (2) ◽  
pp. 95-98 ◽  
Author(s):  
P. Chhabra ◽  
A.K. Sharma ◽  
V.L. Grover ◽  
O.P. Aggarwal
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Multiple Logistic Regression Analysis ◽  
Baseline Survey ◽  
Age Group ◽  
Multiple Logistic Regression ◽  
Infant And Child Mortality

Birth weight remains an important factor affecting infant and child mortality. Many factors influence the occurrence of low birth weight (LBW). The present study was conducted to study the prevalence and determinants of LBW in an urban resettlement area of Delhi. A baseline survey was done to enroll all pregnant women in the area. These women were followed up every month till outcome. The prevalence of LBW was 39.1%. Occurrence of LBW was related to age, parity, weight and height of the mother. In multiple logistic regression analysis, mother's weight and parity alone emerged as significant variables. On further analysis, on adjusting for age, parity and birth weight were associated for the 20-35-year age group only. Thus, prevalence of LBW remains high in the urban under privileged of Delhi; maternal age, parity and weight and height are important determinants. Increasing age of first birth to more than 20 years can minimize effect of primi parity. Asia Pac JPublic Health 2004' 16(2): 95-98.

scholarly journals Trends of proximate low birth weight and associations among children under-five years of age: Evidence from the 2016 Ethiopian demographic and health survey data

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246587
Author(s):  
Mesfin Wudu Kassaw ◽  
Ayele Mamo Abebe ◽  
Ayelign Mengesha Kassie ◽  
Biruk Beletew Abate ◽  
Seteamlak Adane Masresha
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Regression Model ◽  
Maternal Age ◽  
Logistic Regression Model ◽  
Maternal Education ◽  
Multiple Birth ◽  
Health Survey Data ◽  
Birth Type

Background Low birth weight puts a newborn at increased risk of death and illness, and limits their productivity in the adulthood period later. The incidence of low birth weight has been selected as an important indicator for monitoring major health goals by the World Summit for Children. The 2014 World Health Organization estimation of child death indicated that 4.53% of total deaths in Ethiopia were due to low birth weight. The aim of this study was to assess trends of proximate low birth weight and associations of low birth weight with potential determinants from 2011 to 2016. Methods This study used the 2016 Ethiopian Demographic and Health Survey data (EDHS) as data sources. According to the 2016 EDHS data, all the regions were stratified into urban and rural areas. The variable “size of child” measured according to the report of mothers before two weeks of the EDHS takes placed. The study sample refined from EDHS data and used for this further analysis were 7919 children. A logistic regression model was used to assess the association of proximate low birth weight and potential determinates of proximate low birth weight. But, the data were tested to model fitness and were fitted to Hosmer-Lemeshow-goodness of fit. Results The prevalence of proximate low birth weight in Ethiopia was 26.9% (2132), (95%CI = 25.4, 27.9). Of the prevalence of child size in year from 2011 to 2016, 17.1% was very small, and 9.8% was small. In the final multivariate logistic regression model, region (AOR = xx), (955%CI = xx), Afar (AOR = 2.44), (95%CI = 1.82, 3.27), Somalia (AOR = 0.73), (95%CI = 0.55, 0.97), Benishangul-Gumz (AOR = 0.48), (95%CI = 0.35, 0.67), SNNPR (AOR = 0.67), (95%CI = 0.48, 0.93), religion, Protestant (AOR = 0.76), (95%CI = 0.60, 0.95), residence, rural (AOR = 1.39), (95%CI = 1.07, 1.81), child sex, female (AOR = 1.43), (95%CI = 1.29, 1.59), birth type, multiple birth during first parity (AOR = 2.18), (95%CI = 1.41, 3.37), multiple birth during second parity (AOR = 2.92), (95%CI = 1.86, 4.58), preparedness for birth, wanted latter child (AOR = 1.26), (95%CI = 1.09, 1.47), fast and rapid breathing (AOR = 1.22), (95%CI = 1.02, 1.45), maternal education, unable to read and write (AOR = 1.46), (95%CI = 1.56, 2.17), and maternal age, 15–19 years old (AOR = 1.86), (95%CI = 1.19, 2.92) associated with proximate low birth weight. Conclusions The proximate LBW prevalence as indicated by small child size is high. Region, religion, residence, birth type, preparedness for birth, fast and rapid breathing, maternal education, and maternal age were associated with proximate low birth weight. Health institutions should mitigating measures on low birth weight with a special emphasis on factors identified in this study.

Determinants of Low Birth Weight in Rural Areas of North West in Iran: 2013-2017 (A Case-Control Study)

2019 ◽  
Author(s):  
Hosein Rafiemanesh ◽  
Seyed Rasoul Hashemi Aghdam ◽  
Avaz Safarzadeh ◽  
Sanaz Chapar ◽  
Alireza Zemestani ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Case Control Study ◽  
Case Control ◽  
Maternal Weight ◽  
Multivariate Logistic Regression ◽  
Control Study

Abstract Background Low birth weight (LBW) is one of the main causes of death in children and is an important factor related to the growth and development of children. LBW is associated with causes but some of the risk factors may be due to the country or geographical region. Aim of this study was conducted to investigate the risk factors associated with LBW in the villages of Oskou county, northwest of Iran. Methods This study is a population-based case-control study and all the cases of LBW, that have occurred during the five years 2013-2017 in all villages of Oskou county, East Azerbaijan Province, Iran. Controls were selevted based on systematic random sampling in that same village and year. Chi-square and fisher's exact test analysed and then a univariate and multivariate logistic regression model was used to investigate possible factors. Results In this study 242 cases and 242 control groups were analyzed. Base on multivariate logistic regression important risk factors were LBW history (OR=25.87), mothers who used natural methods of contraception (OR=29.54), twin's birth (OR=24.04) and gestational age less than 37 weeks (OR=3.89). Conclusion According to the result of the present study the most important risk factors of LBW are as follows: Contraception method using, having a history of previous LBW newborn, twin's birth, gestational age, fathers’ occupation, mothers’ education, maternal weight, maternal weight gain during pregnancy and number of of caring during pregnancy.

scholarly journals The Influence of Gestational Age and Birth Weight on Neonatal Mortality

2020 ◽  
Vol 8 (3) ◽  
Author(s):  
Wedi Iskandar ◽  
Yeni Andayani ◽  
Lia Marlia ◽  
Burhan Burhan ◽  
Aris Primadi
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Gestational Age ◽  
Multiple Logistic Regression ◽  
Chi Square ◽  
Percentage Contribution ◽  
Chi Square Test ◽  
Significant Health

Prematurity and low birth weight are some of the causes of neonatal death and significant health problem. This study aimed to determine the influence of gestational age and birth weight on neonatal mortality at the Al Islam Hospital Bandung in 2015–2019. It was a case-control retrospective observational analysis using medical records of the Al Islam Bandung Hospital from January 1, 2015, to December 31, 2019. The inclusion criteria for infants were born alive. Exclusion criteria had severe congenital abnormalities and gestational age <26 weeks. The chi-square test evaluated the univariate comparison test of risk factors between 2 groups. Multiple logistic regression to assess neonatal mortality's predictive factors and the percentage contribution of the influence was calculated (Nagelkerke’s R2 analysis). The number of infants enrolled in 2015–2019 was 6,791 neonates, and who died was 56 neonates (0.82%). In premature infants and low birth weight there was a very significant relationship with neonatal mortality, respectively p=0.000 (p<0.05) OR=30.397 (CI=16.506–55.976), and p=0.000 (p<0.05) OR=41.206 (CI=18.611–91.233). In the multiple logistic regression test, p=0.000 (p<0.05), with a Nagelkerke’s R2 value of 0.344 or 34.4%. This presence that gestational age and birth weight significantly affects neonatal mortality, either partially or simultaneously. The percentage contribution of the influence of gestational age and birth weight to neonatal mortality was 34.4%. PENGARUH USIA GESTASI DAN BERAT BADAN LAHIR TERHADAP KEMATIAN NEONATUSPrematuritas dan berat badan lahir rendah merupakan beberapa penyebab kematian neonatus dan masalah kesehatan yang signifikan. Penelitian ini bertujuan mengetahui pengaruh usia gestasi dan berat badan lahir terhadap kematian neonatus di RS Al Islam Bandung tahun 2015–2019. Penelitian ini merupakan penelitian observasional retrospektif kasus kontrol menggunakan data rekam medis RS Al Islam Bandung periode 1 Januari 2015 hingga 31 Desember 2019. Kriteria inklusi bayi lahir hidup. Kriteria eksklusi bayi dengan kelainan kongenital berat dan usia gestasi <26 minggu. Uji chi-square mengevaluasi perbandingan univariat faktor risiko antara 2 grup. Regresi logistik multipel untuk mengevaluasi faktor prediktif kematian neonatus dan persentase kontribusi pengaruh dihitung (Analisis R2 Nagelkerke). Jumlah bayi yang dirawat tahun 2015–2019 sebanyak 6.791 dan yang meninggal sebanyak 56 (0,82%). Pada bayi lahir prematur dan berat badan lahir rendah terdapat hubungan sangat bermakna terhadap kematian neonatus, berturut-turut p=0,000 (p<0,05) OR=30,397 (CI=16,506–55,976) dan p=0,000 (p<0,05) OR=41,206 (CI=18,611–91,233). Pada uji regresi logistik multipel, p=0,000 (p<0,05) dengan nilai R2 Nagelkerke sebesar 0,344 atau 34,4%. Usia gestasi dan berat badan lahir berpengaruh bermakna terhadap kematian neonatus, baik secara parsial maupun simultan. Persentase sumbangan pengaruh usia gestasi dan berat badan lahir terhadap kematian neonatus sebesar 34,4%.

scholarly journals A study to assess clinico-epidemiological profile and outcome of low birth weight babies admitted to neonatal intensive care unit of a tertiary care hospital

2021 ◽  
Vol 8 (6) ◽  
pp. 1064
Author(s):  
Anuradha Sanadhya ◽  
Mohammad Asif ◽  
Priyanka Meena ◽  
Juhi M. Mehrotra
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Age ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Care Hospital ◽  
Maternal Weight ◽  
Medical College ◽  
Low Birth Weight Babies ◽  
Epidemiological Profile

Background: Low birth weight (LBW) contributes substantially to neonatal, infant and childhood morbidity as well as mortality. Across the world neonatal mortality is 20 times more likely for low birth weight babies compared to heavier babies (>2.5 kg). Proportion of LBW babies at birth in Rajasthan is 14%. The present study is proposed to explore the determinants of LBW in babies admitted at tertiary care hospital. The objective of the study was to study the clinic-epidemiological profile and outcome of LBW neonates; to study various factors associated with LBW.Methods: This study was a hospital based descriptive cross-sectional study, carried out at NICU of MBGH, R.N.T Medical College, Udaipur, Rajasthan. The study population comprised of all LBW babies delivered in medical college attached hospital and admitted in NICU, for duration of one year from September 2019 to august 2020. Total 350 babies were enrolled in study as per calculated sample size.Results: LBW was found to be associated with low maternal age, low level of mother education, maternal anemia, less BMI, stature of mothers, number of ANC visits, poor maternal weight gain during pregnancy, per-capita income, etc. Most common cause of mortality was found in LBW was septicemia and of morbidity was RDS.Conclusions: The identified risk factors in our study were modifiable and many were preventable. Maternal age, education of mothers, nutrition of mothers, anaemia status, number of ANC visits by mothers are preventable causes. Demographic profile, socio-economic status; many medical and obstetric factors are modifiable.

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.

scholarly journals Could elective cesarean sections influence the birth weight of full-term infants?

2006 ◽  
Vol 124 (6) ◽  
pp. 313-315 ◽  
Author(s):  
Eddie Fernando Candido Murta ◽  
Guilherme Carvalho Freire ◽  
Daniel Capucci Fabri ◽  
Renato Humberto Fabri
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Prenatal Care ◽  
Low Birth Weight ◽  
Cesarean Section ◽  
Full Term ◽  
Elective Cesarean Section ◽  
Multiple Logistic Regression ◽  
Term Infants ◽  
Elective Cesarean

CONTEXT AND OBJECTIVE: There are no studies on birth weights among full-term infants born by means of elective cesarean section. We aimed to study this in private and public hospitals. DESIGN AND SETTING: Retrospective study at Universidade Federal do Triângulo Mineiro, Uberaba, Brazil. METHODS: Data were collected from the municipal medical birth register of Uberaba from January to December 2000. The data obtained (maternal age, type of delivery, number of prenatal care visits and birth weight, from full-term pregnancy) from the university hospital (UH), which is a tertiary hospital that only attends patients within the National Health System (SUS), were compared with data from four private hospitals (PHs) that attend health insurance plans and private patients. Student's t test, chi2 test and multiple logistic regression were used for statistical analysis, with the significance level set at p < 0.05. RESULTS: In the PHs, 1,100 out of 1,354 births (81.2%) were by cesarean section and in the UH, 373 out of 1,332 (28%). Birth weight increased significantly in association with increasing numbers of prenatal care visits, except for cesarean section cases in PHs. Birth weights among vaginal delivery cases in PHs were greater than in the UH (p < 0.05), but this was not observed among cesarean section cases. Multiple logistic regression showed that there was greater risk of low birth weight in PHs (odds ratio: 2.33; 95% confidence interval: 1.19 to 4.55). CONCLUSION: Elective cesarean section performed in PHs may be associated with low birth weight among full-term infants.

scholarly journals PREDICTOR VARIABLES OF NEONATAL MORTALITY IN VERY-LOW-BIRTH-WEIGHT INFANTS

2021 ◽  
Vol 9 (06) ◽  
pp. 163-171
Author(s):  
Cristina Amaral Calixto ◽  
◽  
Nathalia Macedo Marteletto ◽  
Priscila da Silva Azevedo Leite ◽  
Paulo Sergio Leite ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Apgar Score ◽  
Maternal Age ◽  
Very Low Birth Weight ◽  
Low Birth Weight Infants ◽  
Kaplan Meier ◽  
Type Of Delivery

The aim of this study is to investigate the mortality profile in very-low-birth-weight infants, as well as model the association of some variables with neonatal mortality, in order to detect possible preventable causes of death. This retrospective cross-sectional study included a total of 109 Very-Low-Weight-Infants admitted to a Neonatal Intensive Care Unit in a municipality in Minas Gerais, Brazil, between January 2012 and December 2016. The neonates were divided into two groups: death and non-death. Frequency distributions were constructed for the variables maternal age, sex, birth weight, gestational age, type of delivery, asphyxia (Apgar at five minutes), administration of antenatal corticosteroids, hypothermia, twinning, and amniotic membrane rupture. The survival curve was plotted using the Kaplan-Meier non-parametric estimator, and theassociation between death and the observed explanatory variables was modeled via Logistic Regression. In the survivor group, most infants exhibited normothermia and weight ≥1,000g. As for the death group, weight below 1,000g and hypothermic infants were predominant. In both groups, maternal age between 18 and 35 years prevailed, as well as the male sex, gestational age of 224 days, cesarean delivery, and fifth minute Apgar scores ≥7. The survival rate, estimated using the Kaplan-Meier method, showed a decrease from 1.0 to 0.55 at the beginning of the observation period. The adjusted logistic regression model included fetal weight and the fifth minute Apgar score. No significant relationship was found between death and the variables type of delivery, hypothermia, and antenatal corticosteroid use.Logistic regression indicated a high probability of death associated with birth weight and the Apgar score at five minutes. The low association with the other variables may be related to the good quality of prenatal, intrapartum, and postpartum care provided in the region and the analyzed hospital.

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN BBLR DI RUMAH SAKIT UMUM DAERAH PALEMBANG BARI TAHUN 2013

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Juliana Widyastuti Wahyuningsih Juliana Widyastuti Wahyuningsih
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Low Birth Weight ◽  
Random Sampling ◽  
Maternal Age ◽  
Univariate Analysis ◽  
Infant Mortality Rate ◽  
Survey Method ◽  
P Value ◽  
Chi Square

ABSTRACT   Low birth weight (LBW) infants with birth weight is less than 2500 grams, regardless of gestational age. Statistically showed 90 % incidence of LBW obtained in developing countries with a mortality rate 35 times higher tinggi.Di South Sumatra Province Infant Mortality Rate ( IMR ) is 29 per 1,000 live births. In Palembang BARI hospitals incidence of LBW in 2013 amounted to 317 cases . The purpose of this study is to determine is there a relationship between the factors of age, education, and parity with the incidence of Low Birth Weight in Palembang BARI hospitals in 2013. This study used survey method crosss sectional analytic approach. The study population was all women who gave birth and was admitted to hospital obstetrics Palembang BARI installations in 2013 amounted to 901. This research was conducted in February 2014. Samples were taken with a random sampling method sistematic. Analyze data using statistical test Chi - Square. Results of univariate analysis of this study showed that 193 (69.4 %) of the respondents had low birth weight, and 85 (30.6 %) respondents had BBLN. 63 (22.7 %) of respondents with a high risk of maternal age and 215 (77.3 %) of respondents with a low risk of maternal age. 157 (56.5 %) respondents with low education mothers and 121 (43.5 %) of respondents with higher education mothers. 48 (17.3 %) respondents with high parity mothers and 230 (82.7 %) respondents with low parity mothers. So the bivariate analysis showed no significant association between maternal age with the incidence of LBW with P value = 0.035, no significant association between education and the incidence of LBW with P value = 0.006, and no significant relationship between the incidence of low birth weight with parity P value = 0.041. It is recommended for health care workers (midwives) hospital in order to be used as material information regarding the occurrence of LBW and as an input as well as the evaluation of success in good health or when needed to do counseling and care of LBW, especially to mothers who give birth to low birth weight baby.   ABSTRAK Berat badan lahir rendah (BBLR) adalah bayi dengan berat lahir kurang dari 2500 gram tanpa memandang masa gestasi. Secara statistik menunjukkan 90% kejadian BBLR didapatkan di negara berkembang dengan angka kematiannya 35 kali lebih tinggi.Di Propinsi Sumatera Selatan Angka Kematian Bayi (AKB) sebesar 29 per 1.000 kelahiran hidup. Di RSUD Palembang BARI Tahun 2013 angka kejadian BBLR berjumlah 317 kasus. Tujuan Penelitian ini adalah untuk mengetahui adakah hubungan antara faktor umur, pendidikan, dan paritas dengan kejadian Berat Badan Lahir Rendah di RSUD Palembang BARI Tahun 2013. Penelitian ini menggunakan metode survey analitik dengan pendekatan crosss sectional. Populasi penelitian ini adalah semua ibu yang melahirkan dan dirawat inap di instalasi kebidanan RSUD Palembang BARI Tahun 2013 berjumlah 901. Penelitian ini dilakukan pada bulan Februari 2014. Sampel penelitian diambil dengan metode sistematic random sampling. Analisa data menggunakan uji statistik Chi – Square. Hasil penelitian analisis univariat ini menunjukkan bahwa 193 (69,4%) responden mengalami BBLR, dan 85 (30,6%) responden mengalami BBLN. 63 (22,7%) responden dengan umur ibu resiko tinggi dan 215 (77,3%) responden dengan umur ibu resiko rendah. 157 (56,5%) responden dengan ibu pendidikan rendah dan 121 (43,5%) responden dengan ibu pendidikan tinggi. 48 (17,3%) reponden dengan ibu paritas tinggi dan 230 (82,7%) responden dengan ibu paritas rendah. Sehingga analisa bivariat menunjukkan ada hubungan yang bermakna antara umur ibu dengan kejadian BBLR dengan P value = 0,035, ada hubungan yang bermakna antara pendidikan dengan kejadian BBLR dengan P value = 0,006 dan ada hubungan yang bermakna antara paritas dengan kejadian BBLR dengan P value = 0,041. Disarankan bagi petugas kesehatan (bidan) rumah sakit agar dapat dijadikan sebagai bahan informasi mengenai terjadinya BBLR dan sebagai bahan masukan serta evaluasi keberhasilan dalam pelayanan kesehatan yang baik atau bila perlu dilakukannya penyuluhan serta asuhan  tentang BBLR khususnya kepada ibu yang melahirkan Bayi dengan BBLR.  

Advanced Maternal Age and Adverse Maternal and Neonatal Outcomes in Pregnant Women

2020 ◽  
Vol 16 ◽  
Author(s):  
Reza Omani-Samani ◽  
Saman Maroufizadeh ◽  
Nafise Saedi ◽  
Nasim Shokouhi ◽  
Arezoo Esmailzadeh ◽  
...  
Keyword(s):  
Birth Weight ◽  
Preterm Birth ◽  
Low Birth Weight ◽  
Cesarean Section ◽  
Pregnant Women ◽  
Maternal Age ◽  
Unwanted Pregnancy ◽  
Advanced Maternal Age ◽  
Neonatal Outcomes ◽  
Maternal And Neonatal Outcomes

Background: Advanced maternal age is an important predictor for maternal and neonatal outcomes such as maternal mortality, low birth weight, stillbirth, preterm birth, cesarean section and preeclampsia. Objective: To determine the association of advanced maternal age and adverse maternal and neonatal outcomes in Iranian pregnant women. Methods: In this hospital-based cross-sectional study, 5117 pregnant women from 103 hospitals in Tehran, Iran, were participated in the study in 2015. The required data were gathered from hospitals which equipped to the department of obstetrics and gynecology. Advanced maternal age was considered as an independent variable and unwanted pregnancy, preeclampsia, preterm birth, cesarean section and low birth weight were considered as interested outcomes. Results: In our study, the prevalence of advanced maternal age was 12.08%. Advanced maternal age was significantly associated with higher risk of unwanted pregnancy (OR: 1.39, 95% CI: 1.12-1.73), preterm birth (OR: 1.75, 95% CI: 1.28- 2.39) and cesarean section (OR: 1.34, 95% CI: 1.03-1.74). In our study, there was no significant relationship between advanced maternal age and preeclampsia but this relationship could be clinically important (OR: 1.48, 95% CI: 0.99-2.20, P=0.052), and there is no significant relationship between advanced maternal age and low birth weight (OR: 1.08, 95% CI: 0.67-1.74, P=0.736). Conclusion: Advanced maternal age is associated with higher risk of unintended pregnancy, preterm birth and cesarean section but our findings did not support advanced maternal age as a risk factor associated with low birth weight.

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