scholarly journals Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Saneep Shrestha ◽  
Sandeep Shrestha ◽  
Upasana Shakya Shrestha ◽  
Kamala Gyawali
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Case Control Study ◽  
Mode Of Delivery ◽  
Case Control ◽  
Bivariate Analysis ◽  
Maternal Weight ◽  
History Of ◽  
Control Study

Background. Low birth weight (LBW) is defined as the birth weight of live born infants below 2500 g, regardless of gestational age. It is a public health problem caused by factors that are potentially modifiable. The purpose of this study was to determine the socioeconomic, obstetric, and maternal factors associated with LBW in Lumbini Provincial Hospital, Nepal. Methods. The study was conducted using case control study design with 1 : 2 case control ratio. A total of 105 cases and 210 controls were taken in this study. Data were entered on Epi data software version 3.1 and exported to Statistical Package for Social Science (SPSS) software version 25 for analysis. Characteristics of the sample were described using mean and standard deviation. Bivariate analysis was done to assess the association between dependent and independent variables. The ultimate measure of association was odds ratio. Variables found to be associated with bivariate analysis were entered into a multivariable logistic regression model to identify predictors of LBW. Results. The mean age of the participants was 25.98 years with ±4.40 standard deviation. Mothers with literate educational background (AOR 0.32, 95% CI 0.13–0.81), housewife (AOR 2.63, 95% CI 1.11–6.20), vaginal mode of delivery (AOR 0.45, 95% CI 0.25–0.82), gestational age <37 weeks (AOR 2.51, 95% CI 1.15–5.48), history of LBW (AOR 5.12, 95% CI 1.93–13.60), and maternal weight <50 kilograms (AOR 2.23, 95% CI 1.23–4.02) were significantly associated with LBW. Conclusion. Educational and occupational status, mode of delivery, gestational age, maternal weight, and history of LBW were found to be independent predictors of LBW. There is need of developing coordination with education sector for increasing educational status of mothers and adolescent girls. Social determinants of health need to be considered while developing interventional programs. Similarly, interventional programs need to be developed considering identified predictors of low birth weight.

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 Determinants of low birth weight among newborns delivered at Tirunesh Beijing General Hospital, Addis Ababa, Ethiopia: a case-control study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mesfin Tadese ◽  
Abdulwahhab Seid Minhaji ◽  
Chalachew Tegegne Mengist ◽  
Fetene Kasahun ◽  
Getaneh Baye Mulu
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
General Hospital ◽  
Case Control Study ◽  
Addis Ababa ◽  
Case Control ◽  
Maternal Weight ◽  
Management Of Complications ◽  
Birth Records ◽  
Control Study

Abstract Background Low birth weight is weight less than 2500 g or 5.5 lb. at birth. Globally, more than 20 million infants (15-20%) are born with a low birth weight each year. Birth weight is the primary indicator of the health status of neonates and is the primary factor that determines the infant’s physical, survival, and mental growth. Thus, the study aimed to investigate the determinants of low birth weight among newborn babies delivered at Tirunesh Beijing General Hospital, Addis Ababa, Ethiopia. Methods We performed a facility-based unmatched case-control study among 453 (151 cases and 302 controls) deliveries conducted at Tirunesh Beijing General Hospital. Birth records and maternal antenatal care (ANC) files were reviewed from March 1 to April 30, 2019. Consecutive sampling was employed to select study participants. Data were entered into Epi-data version 4.2.1 and analyzed using SPSS version 25 statistical software. Descriptive statistics and logistic regression analysis were computed to identify independent determinants of low birth weight. A p-value of ≤0.05 was used to declare statistical significance. Result Four hundred fifty-three birth records of babies (151 cases and 302 controls) were reviewed. Women who reside in rural area [AOR (CI) = 3.12 (1.63-5.98)], being merchant [(AOR (CI) = 2.90 (1.03-8.22)], danger sign during pregnancy [(AOR (CI) = 4.14 (1.68-10.2)], and maternal weight during pregnancy [(AOR (CI) = 4.94 (3.26-7.52)] were found to be a significant determinants of low birth weight. Conclusion Residence, occupation, danger signs, and maternal weight during pregnancy were significant determinants of low birth weight. Socioeconomic development, early detection and management of complications, and encouraging nutrition and weight during pregnancy are crucial for minimizing the risk of delivering low birth weight babies.

scholarly journals Faktor Risiko yang Berhubungan dengan Kejadian Pneumonia pada Balita di Kelurahan Air Tawar Barat Padang

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Yulia Efni ◽  
Rizanda Machmud ◽  
Dian Pertiwi
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Cigarette Smoke ◽  
Exclusive Breastfeeding ◽  
Case Control Study ◽  
Case Control ◽  
Under Five ◽  
History Of ◽  
Control Study

AbstrakAda beberapa faktor risiko yang meningkatkan angka kejadian pneumonia di negara berkembang yaitu: kurangnya pemberian Air Susu Ibu (ASI) eksklusif, gizi buruk, polusi udara dalam ruangan, Bayi Berat Lahir Rendah (BBLR) dan kurangnya imunisasi campak. Tujuan penelitian ini adalah menentukan faktor risiko yang berhubungan dengan kejadian pneumonia pada balita di Kelurahan Air Tawar Barat, Kota Padang. Penelitian ini menggunakan desain case control study, sampel terdiri dari 27 case dan 27 control. Data dikumpulkan dengan wawancara terpimpin serta melihat data rekam medik dan dianalisis dengan uji chi-square. Hasil penelitian  mendapatkan balita pada kelompok kasus yang tidak mendapatkan ASI eksklusif (81,5%), paparan asap rokok (74,1%), riwayat bayi berat lahir rendah (3,7%), tidak mendapatkan imunisasi campak (40,7%) dan gizi kurang (25,9%). Hasil analisis bivariat menunjukkan terdapat hubungan yang bermakna antara status gizi dengan kejadian pneumonia (p=0,022; OR=9,1; 95%CI=1,034-80,089), sedangkan pemberian ASI eksklusif, paparan asap rokok, riwayat bayi berat lahir rendah dan imunisasi campak tidak terdapat hubungan yang bermakna terhadap pneumonia.Kata kunci: balita, faktor risiko, pneumonia AbstractPneumonia in developing countries are associated to the risk factors such as: lack of exclusive breastfeeding, malnutrition, indoor air pollution, low birth weight and lack of measles vaccinations. The objective of this study was to determine the risk factors associated on the occurrence of pneumonia among the children under five years of age in Air Tawar Barat district, Padang City. This study used case control study  to the 27 cases and 27 control. The data were collected by guided interview and the medical records, than was analyzed by chi-square.test. The results of this study obtanined in the group of cases based on the low exclusive breastfeeding rates (81.5%), exposure to cigarette smoke (74.1%), a history of low birth weight (3.7%), did not get measles vaccinations (40.7%) and malnutrition (25.9%). The result of bivariate analysis shows the significant relationship between nutritional status on the occurrence of pneumonia (p=0.022; OR=9.1; 95% CI=1.034-80.089). The exclusive breastfeeding, exposure to cigarette smoke, a history of low birth weight and measles vaccinations are not significantly related to the occurrence of pneumonia. Keywords: children under five years of age, risk factors, pneumonia

FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN KEMATIAN PERINATAL DI RUMAH SAKIT MUHAMMADDIYAH PALEMBANG TAHUN 2013

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
LENY LENY
Keyword(s):  
Birth Weight ◽  
Perinatal Mortality ◽  
Gestational Age ◽  
Maternal Age ◽  
Case Control Study ◽  
Perinatal Death ◽  
Mode Of Delivery ◽  
Case Control ◽  
P Value ◽  
Control Study

ABSTRACT [Perinatal mortality is a major problem, especially in developing countries. Approximately 98-99% of perinatal deaths occur in developing countries, while in developed countries only about 1-2%. Contributions perinatal mortality rate in Indonesia is still quite high, and perinatal mortality of 400 per 100,000 live births, or about 200,000 people per year so that the perinatal mortality occurs every 1.2-1.5 minutes. In the Muhammaddiyah hospital Palembang obtained perinatal mortality by the year 2013 as many as 52 cases. Many things that cause perinatal death include birth weight, maternal age, gestational age, mode of delivery and parity. The purpose of this study was to determine the relationship of birth weight, maternal age, gestational age, mode of delivery and parity simultaneously with perinatal death. This type of research is a case control study conducted retrospectively. The population in this study were all women giving birth in hospital Muhammadiyah Palembang in the year 2013 that berjumlah2565. The study sample totaled 156 respondents. In this study conducted univariate, bivariate and multivariate analyzes. From the analysis we found no association between birth weight to perinatal mortality (P Value 0.000 OR 4.250), no association of maternal age with perinatal mortality (OR 0.05 P Value 2.091), no correlation gestational age with perinatal mortality (OR 0.000 P Value 7.667), no association method of childbirth with perinatal mortality (P Value 1.000 OR 1.043), no parity relationship with perinatal mortality (P Value 0.511 OR 0.744). The most dominant variable is the age of the pregnancy. It is suggested to the leadership of Muhammadiyah hospital Palembang is hoped to be able to further improve health care programs for women giving birth so as to prevent the occurrence of complications during labor which can lead to perinatal mortality and increase the awareness programs on the importance of antenatal care during pregnancy that can detect early complications of pregnancy to facilitate the birth process.   ABSTRAK Kematian perinatal merupakan masalah besar khususnya di negara sedang berkembang. Sekitar 98-99 % kasus kematian perinatal terjadi di negara sedang berkembang sedangkan di negara maju hanya sekitar 1-2 %. Kontribusi angka kematian perinatal di Indonesia masih cukup tinggi, yaitu kematian perinatal 400 per 100.000 persalinan hidup atau sekitar 200.000 orang pertahun sehingga kematian perinatal terjadi setiap 1,2-1,5 menit. Di Rumah Sakit Muhammaddiyah Palembang didapatkan kematian perinatal pada tahun 2013 sebanyak 52 kasus. Banyak hal yang menyebabkan kematian perinatal diantaranya berat badan lahir, usia ibu, usia kehamilan, cara persalinan dan paritas. Tujuan penelitian ini untuk mengetahui hubungan berat badan lahir, usia ibu, usia kehamilan, cara persalinan dan paritas secara simultan dengan kematian perinatal. Jenis penelitian ini merupakan penelitian case control study yang dilakukan secara retrospektif. Populasi dalam penelitian ini adalah semua ibu bersalin di rumah sakit Muhammadiyah Palembang pada Tahun 2013 yang berjumlah2565. Sampel penelitian ini berjumlah 156 responden. Dalam penelitian ini dilakukan analisis univariat, bivariat dan multivariat. Dari hasil analisis didapatkan ada hubungan antara berat badan lahir dengan kematian perinatal (P Value 0,000 OR 4,250), ada hubungan usia ibu dengan kematian perinatal (P Value 0,05 OR 2,091), ada hubungan usia kehamilan dengan kematian perinatal (P Value 0,000 OR 7,667), tidak ada hubungan cara persalinan dengan kematian perinatal (P Value 1,000 OR 1,043), tidak ada hubungan paritas dengan kematian perinatal (P Value 0,511 OR 0,744). Variabel paling dominan adalah usia kehamilan. Disarankan kepada pimpinan rumah sakit Muhammadiyah Palembang Diharapkan untuk dapat lebih meningkatkan program pelayanan kesehatan kepada ibu bersalin sehingga  mencegah terjadinya komplikasi selama persalinan yang dapat menyebabkan kematian perinatal serta meningkatkan program penyuluhan tentang pentingnya pemeriksaan kehamilan selama masa kehamilan yang dapat mendeteksi dini komplikasi kehamilan untuk memperlancar proses persalinan.  

Prevalence, Risk Factors, and Short-Term Outcomes of Full-Term Low Birth Weight Infants Born at a Tertiary Academic Center: A Prospective Case–Control Study

2021 ◽  
Author(s):  
Heidi K. Al-Wassia ◽  
Shahd K. Baarimah ◽  
Asmaa H. Mohammedsaleh ◽  
Manal O. Alsulami ◽  
Ragad S. Abbas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Case Control Study ◽  
Case Control ◽  
Adverse Outcomes ◽  
Chromosomal Anomalies ◽  
Short Term ◽  
Term Infants ◽  
Control Study

Objective Low birth weight (LBW) infants (<2,500 g) continued to be a global health problem because of the associated short- and long-term adverse outcomes. The study aimed to determine the prevalence, risk factors, and short-term outcomes of term LBW infants Study Design A prospective and case–control study. All infants born consecutively from September 1, 2018 to August 31, 2019 were included. Cases, term LBW infants, were 1:1 matched to controls, appropriate for gestational age (AGA) term infants. Major congenital or chromosomal anomalies and multiple pregnancies were excluded. Results The prevalence of term LBW in the studied period was 4.8%. Mothers of term LBW infants had significantly lower body mass index (p = 0.05), gained less weight (p = 0.01), had a history of previous LBW (p = 0.01), and lower monthly income (p = 0.04) compared with mothers of term AGA infants even after adjustment for confounders. A nonsignificant higher number of term LBW infants needed NICU admission, while their need for phototherapy was deemed significant. Conclusion We identified nutritional and socioeconomic maternal factors that are significantly associated with LBW infants and should be targeted during antenatal visits to improve neonatal outcomes. Key Points

Risk factors for low birth weight: Results from a case-control study in southern Spain

1998 ◽  
Vol 105 (4) ◽  
pp. 419-424 ◽  
Author(s):  
Miguel Delgado-Rodríguez ◽  
Rocío Pérez-Iglesias ◽  
Montserrat Gómez-Olmedo ◽  
Aurora Bueno-Cavanillas ◽  
Ramón Gálvez-Vargas
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Case Control Study ◽  
Case Control ◽  
Southern Spain ◽  
Control Study

scholarly journals A Case Control Study on Risk Factors Associated with Low Birth Weight Babies in Eastern Nepal

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Ravi Kumar Bhaskar ◽  
Krishna Kumar Deo ◽  
Uttam Neupane ◽  
Subhadra Chaudhary Bhaskar ◽  
Birendra Kumar Yadav ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Maternal Education ◽  
Case Control Study ◽  
Calcium Supplementation ◽  
Case Control ◽  
Maternal Body Mass Index ◽  
Targeted Interventions ◽  
Factors Associated ◽  
Control Study

Background. This study was done to assess the maternal and sociodemographic factors associated with low birth weight (LBW) babies.Methods. An unmatched case control study was done involving 159 cases (mothers having LBW singleton babies) and 159 controls (mothers having normal birth weight singleton babies).Results. More than 50% of LBW babies were from the mothers with height ≤145 cm while only 9.43% of NBW babies were from the mothers with that height. Finally, after multivariate logistic regression analysis, maternal height, time of first antenatal care (ANC) visit, number of ANC visits, iron supplementation, calcium supplementation, maternal education, any illness during pregnancy, and hypertension were found as the significant predictors of LBW. However, maternal blood group AB, normal maternal Body Mass Index (BMI), mother’s age of 30 or more years, and starting ANC visit earlier were found to be protective for LBW.Conclusion. Study findings suggest that selectively targeted interventions such as delay age at first pregnancy, improving maternal education and nutrition, and iron and calcium supplementation can prevent LBW in Nepal.

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