scholarly journals Factors Associated with Neonatal Mortality in Bangladesh: A Multilevel Analysis

2021 ◽  
Vol 69 (1) ◽  
pp. 15-21
Author(s):  
Hemel Das ◽  
Nitai Chakraborty
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Logistic Model ◽  
Logistic Regression Model ◽  
Community Level ◽  
Bivariate Analysis ◽  
Factors Associated ◽  
Stratified Sample ◽  
Multilevel Logistic Regression Model ◽  
Multilevel Logistic Model

This study aims at disentangling the influence of both individual and community level factors on neonatal death in Bangladesh. For analysis purpose, data are extracted from Bangladesh Demographic and Health Survey 2014. Bivariate analysis is used to examine the differentials in neonatal mortality by selected background variables of both levels. As the survey is based on a two-stage stratified sample of households, multilevel logistic regression model is used to analyze the cluster effect and to determine the factors associated with neonatal mortality. Multilevel logistic model confirmed that there exists clustering impact on neonatal death. Moreover, the study has suggested implementation of intervention addressing several individual and community level factors to ameliorate the current neonatal health scenario in Bangladesh. Dhaka Univ. J. Sci. 69(1): 15-21, 2021 (January)

scholarly journals Individual and community level factors associated with anemia among children 6—59 months of age in Ethiopia: A further analysis of 2016 Ethiopia demographic and health survey

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241720
Author(s):  
Menaseb Gebrehaweria Gebremeskel ◽  
Afework Mulugeta ◽  
Abate Bekele ◽  
Lire Lemma ◽  
Muzey Gebremichael ◽  
...  
Keyword(s):  
Health Survey ◽  
Logistic Regression Model ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Multilevel Logistic Regression ◽  
Factors Associated ◽  
Dire Dawa ◽  
Poverty Status ◽  
The Individual ◽  
Multilevel Logistic Regression Model

Background Anemia is a global public health problem; but its burden is disproportionately borne among children in the African Regions. The 2016 Ethiopia Demographic and Health Survey report showed that the prevalence of anemia among children 6–59 months of age was 57%; far exceeding the national target of 25% set for 2015. Although studies have been conducted in Ethiopia, multilevel analysis has rarely been used to identify factors associated with anemia among children. Therefore, this study aimed to identify individual and community-level factors associated with anemia among children 6–59 months of age by fitting a multilevel logistic regression model. Methods The data was obtained from the 2016 Ethiopia Demographic and Health Survey, conducted from January to June 2016, and downloaded from the website http://www.DHSprogram.com. The sample was taken using two-stage stratified sampling. In stage one, 645 Enumeration Areas and in stage two 28 households per Enumeration Area were selected. A sample of 7790 children 6–59 months of age was included. Data were analyzed using STATA version 14. A multilevel logistic regression model was fitted and an adjusted odds ratio with a 95% confidence interval was obtained. Result From the individual-level factors, anemia was associated most strongly with child age, wealth index, maternal anemia and child stunting followed by child underweight, child fever and birth order whereas from the community-level, the strongest odds of anemia occurred among children from Somali, Harari, Dire Dawa and Afar region followed by Oromia and Addis Ababa. Low community-poverty is a protective factor for anemia. The odds of anemia were 0.81 (95% CI: 0.66, 0.99) times lower for children who were living in communities of lower poverty status than children who were living in communities of higher poverty status. Children from Somali and Dire Dawa had 3.38 (95% CI: 3.25, 5.07) and 2.22 (95% CI: 1.42, 3.48) times higher odds of anemia, respectively than children from the Tigray region. Conclusions This study shows that anemia among children 6–59 months of age is affected both by the individual and community level factors. It is better to strengthen the strategies of early detection and management of stunted and underweight children. At the same time, interventions should be strengthened to address maternal anemia, child fever and poverty, specifically targeting regions identified to have a high risk of anemia.

scholarly journals Determinan Kematian Neonatal di RSUD Sultan Imanudin Pangkalan Bun

2018 ◽  
Vol 3 (2) ◽  
pp. 115-121
Author(s):  
Riyanti Riyanti ◽  
Legawati Legawati
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Healthcare Setting ◽  
Bivariate Analysis ◽  
Place Of Birth ◽  
Chi Square ◽  
Cross Sectional ◽  
Neonatal Deaths ◽  
The Status ◽  
Cross Sectional Design

Efforts to reduce neonatal mortality are done through various efforts in every healthcare setting. Neonatal deaths are caused by various factors, either directly or indirectly. This study aims to determine the cause of neonatal death. The approach used in this research is analytic observational and Cross-Sectional design. The population in this study is all neonatal deaths in RSUD Sultan Imanudin Pangkalan Bun. The sample of research is 103 people. Univariate analyzes were performed with frequency distribution, for bivariate analysis of factors Age of mother, education, occupation, parity, place of birth, the status of the referral, birth attendant and cause of death using chi-square (x2). The results showed that neonatal mortality occurred in the early neonate group 82 people (79.6%). Bivariate analysis showed that parity and cause factor (p = 0,001) showed significant influence on neonatal mortality. Conclusions of the study resulted in parity and direct or indirect causes of neonatal death.

scholarly journals Determinants of neonatal mortality in the largest international border of Brazil: a case-control study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Suzana de Souza ◽  
Etienne Duim ◽  
Fernando Kenji Nampo
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Case Control Study ◽  
Case Control ◽  
High Rate ◽  
Mortality Data ◽  
Sociodemographic Characteristics ◽  
Factors Associated ◽  
International Border ◽  
Control Study

Abstract Background Foz do Iguassu is a Brazilian municipality located in the most populous international border of the country and provides medical care to foreigners. Neonatal mortality in the city is higher than Brazil’s average and corresponds to 61% of all deaths in children under five. The current study aimed to identify the determinants of neonatal mortality in Foz do Iguassu. Methods In this case-control study, we analyzed all neonatal deaths occurred in Foz do Iguassu from 2012 to 2016. Birth and mortality data were extracted from two national governmental databases (SINASC and SIM). We extracted data on (i) maternal sociodemographic characteristics, (ii) pregnancy care, and (iii) newborn characteristics. Multiple logistic regression with the conceptual framework was applied to examine the factors associated with neonatal mortality. Results Most of the deaths occurred in the early neonatal period (65.9%). The factors associated with neonatal death were fetal congenital anomaly (OR 22.49; CI 95% 7.44–67.95; p = < 0.001); low birth weight (OR 17.15; CI 95% 8.56–34.37; p = < 0.001), first minute Apgar score under 7 (OR 15.60; CI 95% 8.23–29.67; p = < 0.001); zero to 3 prenatal appointments (OR 3.34; CI 95% 1.28–8.73; p = 0.014) and prematurity (OR 3.60; CI 95% 1.87–7.11; p = < 0.001). Conclusion The high rate of neonatal death in Foz do Iguassu is strongly associated with newborn characteristics and not associated with maternal sociodemographic characteristics. Thus, the health services in the Brazilian side of this international borders should be aware of the quality of the prenatal care and childbirth attention provided.

scholarly journals Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning

2020 ◽  
Author(s):  
William Ogallo ◽  
Skyler Speakman ◽  
Victor Akinwande ◽  
Kush R. Varshney ◽  
Aisha Walcott-Bryant ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Household Size ◽  
Sub Saharan Africa ◽  
Age And Gender ◽  
Factors Associated ◽  
Sub Saharan ◽  
And Gender ◽  
Machine Learning Models

AbstractThis study aimed at identifying the factors associated with neonatal mortality. We analyzed the Demographic and Health Survey (DHS) datasets from 10 Sub-Saharan countries. For each survey, we trained machine learning models to identify women who had experienced a neonatal death within the 5 years prior to the survey being administered. We then inspected the models by visualizing the features that were important for each model, and how, on average, changing the values of the features affected the risk of neonatal mortality. We confirmed the known positive correlation between birth frequency and neonatal mortality and identified an unexpected negative correlation between household size and neonatal mortality. We further established that mothers living in smaller households have a higher risk of neonatal mortality compared to mothers living in larger households; and that factors such as the age and gender of the head of the household may influence the association between household size and neonatal mortality.

scholarly journals Individual and community-level determinants of poor tetanus toxoid immunization among pregnant women in Ethiopia using data from 2016 Ethiopian demographic and health survey; multilevel analysis

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Alemneh Mekuriaw Liyew ◽  
Hiwotie Getaneh Ayalew
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Tetanus Toxoid ◽  
Logistic Regression Model ◽  
Community Level ◽  
Multilevel Logistic Regression ◽  
Care Visit ◽  
Multilevel Logistic Regression Model ◽  
Tetanus Toxoid Immunization

Abstract Background Tetanus is a vaccine-preventable disease that can occur in all populations, with neonates and pregnant women being at the most risk. Ethiopia has the highest maternal and neonatal tetanus morbidity and mortality rates. Besides, only 49% of mothers get vaccinated with adequate tetanus toxoid in Ethiopia which is below the world health organization recommendation. To date, there is limited evidence on the individual and community level determinants of poor tetanus toxoid (TT) immunization. Therefore, this study aimed to assess individual and community-level factors associated with poor TT immunization coverage in Ethiopia. Method Secondary data analysis was conducted using the 2016 Ethiopian demographic and health survey. A total of 7043 pregnant women were included in the current study. A multilevel logistic regression model was used to identify individual and community level determinants of poor tetanus toxoid immunization. Finally, the adjusted odds ratio with a 95% confidence interval was reported. Results In the multilevel logistic regression model adjustment, having no Antenatal care visit (AOR = 5.64; 95% CI:2.48,7.30) and having one to three antenatal care visit (AOR = 1.50; 95% CI: 1.19–1.82); poor wealth index (AOR = 1.26; 95% CI: 1.03, 1.54); not being exposed to media (AOR = 1.29; 95% CI: 1.10, 1.51); maternal unemployment (AOR = 1.15; 95% CI: 1.10, 1.31); rural residence (AOR = 1.13; 95% CI: 1.08, 1.72); and high community illiteracy (AOR = 1.28; 95% CI: 1.03, 1.58) were associated with higher odds of poor tetanus toxoid immunization. Whereas, iron uptake during pregnancy (AOR = 0.59; 95% CI: 0.51, 0.68), was associated with lower odds of poor tetanus toxoid immunization. Conclusion In this study tetanus toxoid (TT) vaccine utilization was affected by both community and individual-level factors. Therefore, focusing on antenatal care services especially encouraging pregnant women to have at least four visits, consulting women to be exposed to media, improving community literacy and maternal employment will help to minimize TT underutilization.

scholarly journals Factors Associated with Childhood Depression in Saskatoon Students: A Multilevel Analysis

2013 ◽  
Vol 32 (1) ◽  
pp. 29-42
Author(s):  
Shan Jin ◽  
Nazeem Muhajarine ◽  
Jennifer Cushon ◽  
Hyun J. Lim
Keyword(s):  
Logistic Regression Model ◽  
School Refusal ◽  
School Level ◽  
Student Health ◽  
Individual Level ◽  
Factors Associated ◽  
Main Factors ◽  
Bullying Experiences ◽  
Multilevel Logistic Regression Model ◽  
The Impact

This study examined links between depression and multilevel factors among children from Saskatoon elementary schools. A total of 4,200 students participated in the Saskatoon Student Health Survey conducted in 2008–9. Covariates included demographics and family structure, relationships, physical activity, bullying experiences, and school refusal behaviours. A multilevel logistic regression model was used to examine the impact of individual-level and school-level (contextual) factors. The study revealed that depression disparity existed among schools, and students’ school refusal behaviours such as skipping or being suspended from school were among the main factors contributing to the disparity between schools.

scholarly journals A 12 Years Neonatal Mortality Rate and Its Predictors in Eastern Ethiopia

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110254
Author(s):  
Merga Dheresa ◽  
Gamachis Daraje
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Live Birth ◽  
Neonatal Death ◽  
Low Birthweight ◽  
Regression Coefficient ◽  
Neonatal Mortality Rate ◽  
Eastern Ethiopia ◽  
Factors Associated ◽  
Mortality Incidence

Introduction. Surviving and thriving of newborn is essential to ending extreme poverty. However, the surviving and thriving of new born is depends on where neonates are born. The true feature of neonatal mortality rate and trends is not well known in the study area. Thus, we aimed to estimate a neonatal mortality incidence in each year, and determine factors associated though pregnancy observation cohort study in Eastern Ethiopia. Methods. The study was conducted in Kersa Health Demographic Surveillance System (KHDSS) among 36 kebeles. We extracted all events (38 541 live birth and 776 neonatal death) occurred between January 1, 2008 and December 30, 2019. Neonatal mortality rate was presented by neonatal death per 1000 live birth with 95% confidence interval in each years, and trends of neonatal morality was described with line regression. Cox proportional regression model was used to assess predictors and presented with an adjusted hazard ratio (AHR) and 95% CI. Results. The estimated cumulative average of neonatal mortality rate in this study was 20.3 (95% CI: 18.9-21.8) per 1000 live births. The rate was decline with regression coefficient β = −1.60. Risk of neonatal death was found to be significantly associated with neonate born to mother living in rural Kersa (AHR = 5.31; 95% CI: 3.07-9.18), born to mother not receiving antenatal care (AHR = 1.43; 95% CI: 1.15-1.78), low birthweight (AHR = 2.59; 95% CI: 2.05-3.27), and preterm newborn (AHR = 12.10; 95% CI: 9.23-15.86). Conclusion. Neonatal mortality in the study site is far from reaching the national and global target goals.

scholarly journals The Burden of Neonatal Mortality in Urban Slums of Bangladesh: Evidence from Bangladesh Urban Health Survey 2013 Data

2021 ◽  
Vol 69 (1) ◽  
pp. 31-35
Author(s):  
Ummay Nayeema Islam ◽  
Tasmiah Sad Sutopa
Keyword(s):  
Neonatal Mortality ◽  
Urban Health ◽  
Health Survey ◽  
Neonatal Death ◽  
Water Source ◽  
Healthcare Services ◽  
Urban Slums ◽  
Living Standard ◽  
Bivariate Analysis ◽  
Chi Square

Children in slums are in a vulnerable situation because of their low living standard and poor access to healthcare services. It is melancholic that newborns are the worst victims of this devastating condition. This paper aims at finding out the potential determinants of neonatal death in urban slums using Bangladesh Urban Health Survey 2013 data. For the purpose of analyses, bivariate analysis has been conducted using chi-square test and multiple logistic regression model is used to assess the adjusted effects of potential determinants of neonatal mortality in slum area. Results indicate that type of birth, mother’s education, working status, NGO membership, migration status, pregnancy complication and water source played significant role in occurring neonatal death in slum areas. In order to reduce neonatal mortality in slums, migrant mothers should get the highest priority; awareness building programs should be held frequently in slums regarding maternal health and health care practices for the pregnant mothers as well as their newborn babies. Dhaka Univ. J. Sci. 69(1): 31-35, 2021 (January)

scholarly journals Determinants Of Neonatal Mortality In The Largest International Border Of Brazil: A Case-Control Study

2019 ◽  
Author(s):  
Suzana de Souza ◽  
Etienne Larissa Duim ◽  
Fernando Kenji Nampo
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Case Control Study ◽  
Case Control ◽  
High Rate ◽  
Mortality Data ◽  
Sociodemographic Characteristics ◽  
Factors Associated ◽  
International Border ◽  
Control Study

Abstract BACKGROUND: Foz do Iguassu is a Brazilian municipality located in the most populous international border of the country and provides medical care to foreigners. Neonatal mortality in the city is higher than Brazil’s average and corresponds to 61% of all deaths in children under five. The current study aimed to identify the determinants of neonatal mortality in Foz do Iguassu. METHODS: In this case-control study, we analyzed all neonatal deaths occurred in Foz do Iguassu from 2012 to 2016. Birth and mortality data were extracted from two national governmental databases (SINASC and SIM). We extracted data on (i) maternal sociodemographic characteristics, (ii) pregnancy care, and (iii) newborn characteristics. Multiple logistic regression with the conceptual framework was applied to examine the factors associated with neonatal mortality. RESULTS : Most of the deaths occurred in the early neonatal period (65.9%). The factors associated with neonatal death were fetal congenital anomaly (OR 22.49; CI 95% 7.44-67.95; p = <0.001); low birth weight (OR 17.15; CI 95% 8.56-34.37; p = <0.001), first minute Apgar score under 7 (OR 15.60; CI 95% 8.23- 29.67; p = <0.001); zero to 3 prenatal appointments (OR 3.34; CI 95% 1.28-8.73; p = 0.014) and prematurity (OR 3.60; CI 95% 1.87‑7.11; p = <0.001). CONCLUSION : The high rate of neonatal death in Foz do Iguassu is strongly associated with newborn characteristics and not associated with maternal sociodemographic characteristics. Thus, the health services in the Brazilian side of this international borders should be aware of the quality of the prenatal care and childbirth attention provided.

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