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 Determinants of Low APGAR score in Newborns Delivered at Lemlem Karl General Hospital, Northern Ethiopia, 2018: A Case Control Study

2020 ◽  
Author(s):  
Mussie Mulugeta Gebremedhin ◽  
Mengistu Welday Gebremichael ◽  
Berhane Gebreegizabiher Gebremichael ◽  
Mihrete-ab Mehari Reda ◽  
Tesfay Adhena Hailu ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
General Hospital ◽  
Apgar Score ◽  
Case Control Study ◽  
Case Control ◽  
Northern Ethiopia ◽  
Determinant Factors ◽  
Hypertensive Disorders ◽  
Control Study

Abstract BACKGROUND: The Apgar score is a method to quickly summarize the health of newborn children. It establishes a simple and clear classification of newborns, which could be used to predict survival and to compare methods of resuscitation and perinatal experience across hospitals and obstetric practices. Low Apgar score is associated with various immediate and long-term adverse health outcomes of newborns. Hence; in order to decrease the risk/complications, identifying the determinant factors of low Apgar is crucial to act on the modifiable risk factors. This study is aimed to investigate the determinant factors of a low Apgar score in newborn children.METHOD: The study was conducted in Lemelem Karl general hospital; northern Ethiopia. An institutional-based unmatched, case-control study was implemented. Data were retrieved from medical charts of 662 newborns’ mothers who gave birth in the hospital from Sep 2014 to Sep 2017. Among these, 221 of them were cases (charts of mothers whose newborns’ fifth minute Apgar score was <7) and 441 of them were controls (charts of mothers whose newborns’ Apgar score was 7 and above). Data was collected using a pretested and structured checklist using systematic sampling and data was entered & analyzed using SPSS version 20. Binary and multivariable logistic regression was done to determine the association and statistical significance was declared at P-value of ≤0.05. RESULTS: This study revealed that low Apgar score was significantly associated with antepartum hemorrhage [Adjusted odss ratio (AOR) 3.509; 95% confidence interval (CI) 1.526-8.067), P= 0.003], pregnancy-induced hypertensive disorders [AOR 2.69; 95% CI (1.351-5.357), P= 0.005], prolonged second stage of labor [AOR 2.63; 95% CI (1.399-4.944), P= 0.003], Cesarean delivery [AOR 2.005; 95%CI (1.223-3.287), P= 0.006],meconium-stained liquor [AOR 6.955; 95% CI (3.721-13.001), P<0.001], and low birth weight [AOR 4.38; 95% CI (2.216-8.657), P<0.001].CONCLUSION: Result from this study showed a remarkable linkage of low Apgar score with antepartum hemorrhage, pregnancy-induced hypertensive disorders, meconium-stained liquor, and low birth weight. Therefore, meticulous antenatal care and labour management service are recommended to prevent low Apgar score and the concomitant neonatal death.

scholarly journals Determinants of Perinatal Mortality in Tercha General Hospital, Southern Ethiopia; Facility Based Case Control Study.

2019 ◽  
Author(s):  
Firehiwot Tebeje ◽  
Animut Addis ◽  
Muktar Basher ◽  
Chernet Hialu
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
General Hospital ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Perinatal Death ◽  
Case Control ◽  
Southern Ethiopia ◽  
Prolonged Labour ◽  
Control Study

Abstract Background: Ethiopia meets the target millennium development goal 4 on child survival three years ahead of time. However, there were high perinatal deaths in the country and the reduction was not impressive. Identifying determinants and implement evidence based interventions is crucial to reduce perinatal death. However, there were no clear evidences on determinants of perinatal mortality in Tercha General Hospital.Objective: To assess determinants of perinatal mortality in Tercha general hospital, Southern Ethiopia, January 1, 2014 and December 30, 2017.Method: An unmatched case control study using secondary data as a source of information was conducted in Tercha general hospital. Cases were stillbirths and early neonatal deaths. Controls were those newborns live till 7th days. Randomly selected 366 (183 cases and 183 controls) study subjects were constituted for this study. The data were collected from March 1-20/2018. Epi-Data version 3.1 and SPSS Version 23 were used for data entry and analysis, respectively. Descriptive statistics were used to describe the study population in relation to study variables. Logistic regressions were employed to identify determinants of perinatal death.Results: In multivariable logistic analysis, rural in residence of the mother [AOR=1.82; 95%CI:(1.04-3.19)], ANC booking [AOR=0.47; 95%CI:(0.27,0.83)], prolonged labour [AOR=2.75; 95%CI: (1.58-4.78)], low birth weight [AOR=1.78; 95%CI (1.06-2.97)], presence of obstetrics complication [AOR=2.15; 95%CI: (1.28-3.62)], using partograph [AOR=0.5; 95%CI: 0.25-0.9]. Using safe child birth checklist [AOR=0.52; 95%CI: 0.30-0.91], and coming with referral [(AOR=2.69; 95% CI: (1.51-4.8)] were significantly associated with perinatal mortality. Conclusion and Recommendation: Being rural in residence, coming with referral, low birth weight, prolonged labour and presence of obstetric complication were associated with elevated the risk of perinatal mortality, and antenatal care booking, using partograph and using safe childbirthchecklist were associated with reduced risk of perinatal mortality. We therefore, recommend strengthening maternal health and newborn care servicesby taking into account these factors to reduce perinatal death.

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 Maternal Health Services as Determinant Factors for Low Birth Weight in public hospitals of Addis Ababa, Ethiopia: a Case-control Study.

2022 ◽  
Author(s):  
Yonas Abebe ◽  
Maedot Kebede ◽  
Tomas Getahun ◽  
Marekegn Habtamu ◽  
Behailu Tariku ◽  
...  
Keyword(s):  
Folic Acid ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Case Control Study ◽  
Unplanned Pregnancy ◽  
Addis Ababa ◽  
Case Control ◽  
Public Hospitals ◽  
Iron And Folic Acid ◽  
Control Study

Abstract Background: The birth weight of a newborn has a substantial impact on infant mortality, morbidity, development, and long-term health. It is determined by the mother's overall health status. More than 20 million babies are born with low birth weight across the world. In developing countries, almost 17% of all newborns are born with low birth weights, with no exception in Ethiopia. Alleviating this problem, needs a clear understanding of the determinants. Thus, this study was done in Addis Ababa, the most populous city in the country, where the lifestyles of mothers might be affected by the dynamic city life.Method: An unmatched case-control study was applied to assess the risk factors of low birth weight in three randomly selected public hospitals in Addis Ababa, Ethiopia. Data was collected through interviewer-administered structured questionnaires. Data analysis was done using SPSS version 24. Descriptive statistics using frequencies and percentages were used to describe the socio-demographic characteristics of the study participants. Bi-variable and multi-variable logistic regression analyses were used to assess the possible effect of determinant factors on low birth weight, with their respective odds ratios and 95% confidence intervals. P-values of less than 0.05 were considered statistically significant.Result: We enrolled 168 cases and 336 controls; all completed the study with no refusal. Of all pregnancies, 90 (17.8%) were unplanned and unwanted. And, 153 (30.3%) of mothers have a history of prior abortion. Among the factors we studied, maternal age below 18 years (AOR: 2.69, 95% CI: 1.24, 5.84), unwanted and unplanned pregnancy (AOR: 1.25, 95% CI: 1.09, 2.66), ANC visit in the last pregnancy below three (AOR: 3.23, 95% CI: 1.61, 6.49), female neonate (AOR: 1.09, 95% CI: 2.04, 3.20), not supplemented with iron and folic acid (AOR: 3.11, 95% CI: 1.36, 7.11) and hematocrit level of < 30 (AOR: 2.29, 95% CI: 1.00, 5.22) showed a statistically significant association with low birth weight.Conclusion: This study demonstrates that the age of mothers below 18 years, unwanted and unplanned pregnancy, low ANC visits, lack of iron and folic acid supplements, and low maternal hemoglobin level were the significant determinants of low birth weight among term babies. Thus, women of childbearing age should be screened and educated about the risks of pregnancy and should get the necessary care and support when they get pregnant.

scholarly journals Determinants of Low Birth Weight Among Newborns Delivered in Public Hospitals in Addis Ababa, Ethiopia: Case-Control Study

2020 ◽  
Vol Volume 11 ◽  
pp. 119-126 ◽  
Author(s):  
Getaneh Baye Mulu ◽  
Bereket Gebremichael ◽  
Kalkidan Wondwossen Desta ◽  
Mekonen Adimasu Kebede ◽  
Yared Asmare Aynalem ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Case Control Study ◽  
Addis Ababa ◽  
Case Control ◽  
Public Hospitals ◽  
Control Study

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.

scholarly journals Determinants of low APGAR score in newborns delivered at Lemlem Karl general hospital, Northern Ethiopia, 2018: a case control study

2020 ◽  
Author(s):  
Mussie Mulugeta Gebremedhin ◽  
Mengistu Welday Gebremichael ◽  
Berhane Gebreegizabiher Gebremichael ◽  
Mihrete-ab Mehari Reda ◽  
Tesfay Adhena Hailu ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
General Hospital ◽  
Apgar Score ◽  
Case Control Study ◽  
Case Control ◽  
Northern Ethiopia ◽  
Determinant Factors ◽  
Hypertensive Disorders ◽  
Control Study

Abstract BACKGROUND: The Apgar score is a method to quickly summarize the health of newborn children. It establishes a simple and clear classification of newborns, which could be used to predict survival and to compare methods of resuscitation and perinatal experience across hospitals and obstetric practices. Low Apgar score is associated with various immediate and long-term adverse health outcomes of newborns. Hence; in order to decrease the risk/complications, identifying the determinant factors of low Apgar is crucial to act on the modifiable risk factors. This study is aimed to investigate the determinant factors of a low Apgar score in newborn children.METHOD: The study was conducted in Lemelem Karl general hospital; northern Ethiopia. An institutional-based unmatched, case-control study was implemented. Data were retrieved from medical charts of 662 newborns’ mothers who gave birth in the hospital from Sep 2014 to Sep 2017. Among these, 221 of them were cases (charts of mothers whose newborns’ fifth minute Apgar score was <7) and 441 of them were controls (charts of mothers whose newborns’ Apgar score was 7 and above). Data was collected using a pretested and structured checklist using systematic sampling and data was entered & analyzed using SPSS version 20. Binary and multivariable logistic regression was done to determine the association and statistical significance was declared at P-value of ≤0.05. RESULTS: This study revealed that low Apgar score was significantly associated with antepartum hemorrhage [Adjusted odds ratio (AOR) 3.509; 95% confidence interval (CI) 1.526-8.067), P= 0.003], pregnancy-induced hypertensive disorders [AOR 2.69; 95% CI (1.351-5.357), P= 0.005], prolonged second stage of labor [AOR 2.63; 95% CI (1.399-4.944), P= 0.003], Cesarean delivery [AOR 2.005; 95%CI (1.223-3.287), P= 0.006],meconium-stained liquor [AOR 6.955; 95% CI (3.721-13.001), P<0.001], and low birth weight [AOR 4.38; 95% CI (2.216-8.657), P<0.001].CONCLUSION: Result from this study showed a remarkable linkage of low Apgar score with antepartum hemorrhage, pregnancy-induced hypertensive disorders, meconium-stained liquor, and low birth weight. Therefore, meticulous antenatal care and labour management service are recommended to prevent low Apgar score and the concomitant neonatal death.

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

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