Log-Logistic Proportional Odds Model for Analyzing Infant Mortality in Bangladesh

2016 ◽  
Vol 29 (1) ◽  
pp. 60-69
Author(s):  
Most. Fatima-Tuz-Zahura ◽  
Khandoker Akib Mohammad ◽  
Wasimul Bari
Keyword(s):  
Infant Mortality ◽  
Regression Model ◽  
Health Survey ◽  
Maternal Education ◽  
Proportional Odds Model ◽  
Demographic And Health Survey ◽  
Place Of Delivery ◽  
Product Limit ◽  
Parametric Survival ◽  
Relevant Covariates

Log-logistic parametric survival regression model has been used to find out the potential determinants of infant mortality in Bangladesh using the data extracted from Bangladesh Demographic and Health Survey, 2011. First, nonparametric product-limit approach has been used to examine the unadjusted association between infant mortality and covariate of interest. It is found that maternal education, membership of nongovernmental organizations, age of mother at birth, sex of child, size of child at birth, and place of delivery play an important role in reducing the infant mortality, adjusting relevant covariates.

scholarly journals Evidence from 2016 Ethiopian demographic and health survey data: association between post health education maternal knowledge and neonatal danger signs

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mesfin Wudu Kassaw ◽  
Ayele Mamo Abebe ◽  
Biruk Beletew Abate ◽  
Seteamlak Adane Masresha ◽  
Ayelign Mengesha Kassie ◽  
...  
Keyword(s):  
Health Education ◽  
Survey Data ◽  
Health Survey ◽  
Rural Areas ◽  
Maternal Education ◽  
Female Child ◽  
Demographic And Health Survey ◽  
Maternal Knowledge ◽  
Danger Signs ◽  
Health Survey Data

Abstract Background Globally, 4 million infants die in their first 4weeks of life every year; above 8 million infants died before their first year of birthday, and nearly 10 million children died before their 5th birthday. Majority of the deaths were occurred at home because of not receiving health care. In Ethiopia, 120,000 infants died during their first 4 weeks of life. The aim of this study was to assess maternal knowledge about neonatal danger signs and its associations after they had been thought by health professionals in Ethiopia. Methods This study used the 2016 Ethiopian Demographic and Health Survey data (EDHS) as a data source. The 2016 EDHS data were collected using a two stage sampling method. All the regions were stratified into urban and rural areas. The study sample taken from the 2016 EDHS data and used in this further analysis was 325. A logistic regression model was used to assess the associations with post health education maternal knowledge on neonatal danger signs. Results In this study, mothers who had poor knowledge about neonatal danger signs (NDS) were 69.8 % (227) (95 %CI (64.8, 74.8 %). In the final logistic model, wanted no more child ((AOR = 4.15), (95 %CI = 1.12, 15.41)), female child ((AOR = 0.58), (95 %CI = 0.34, 0.98)), primary level maternal education ((AOR = 0.42), (95 %CI = 0.19, 0.92)), secondary level maternal education ((AOR = 0.37), (95 %CI = 0.16, 0.91)), and average size of child ((AOR = 2.64), (95 %CI = 1.26, 5.53)), and small size child ((AOR = 4.53), (95 %CI = 1.52, 13.51)) associated with post health education maternal knowledge about NDS. Conclusion The mothers’ knowledge about NDS is poor even they were gave a birth in health facilities. Wanting of additional child, child sex, maternal education and size of child were associated with NDS knowledge. This indicates that the mode of health education provided for mother might not be appropriate and needs protocol changes.

scholarly journals Trends and determinants of undernutrition among young Kenyan children: Kenya Demographic and Health Survey; 1993, 1998, 2003 and 2008–2009

2012 ◽  
Vol 15 (9) ◽  
pp. 1715-1727 ◽  
Author(s):  
Peninah K Masibo ◽  
Donald Makoka
Keyword(s):  
Health Survey ◽  
Urban Areas ◽  
Child Nutrition ◽  
Maternal Education ◽  
Sampling Technique ◽  
Household Wealth ◽  
Demographic And Health Survey ◽  
Demographic And Health Surveys ◽  
Double Burden ◽  
Percentage Points

AbstractObjectiveTo report on the trends and determinants of undernutrition among children <5 years old in Kenya.DesignData from four nationwide Kenya Demographic and Health Surveys, conducted in 1993, 1998, 2003 and 2008–2009, were analysed. The Demographic and Health Survey utilizes a multistage stratified sampling technique.SettingNationwide covering rural and urban areas in Kenya.SubjectsThe analysis included 4757, 4433, 4892 and 4958 Kenyan children aged <5 years in 1993, 1998, 2003 and 2009–2009, respectively.ResultsThe prevalence of stunting decreased by 4·6 percentage points from 39·9 % in 1993 to 35·3 % in 2008–2009, while underweight decreased by 2·7 percentage points from 18·7 % in 1993 to 16·0 % in 2008–2009. The effects of household wealth, maternal education and current maternal nutritional status on child nutrition outcomes have changed dynamically in more recent years in Kenya. Inadequate hygiene facilities increased the likelihood of chronic undernutrition in at least three of the surveys. Small size of the child at birth, childhood diarrhoea and male gender increased the likelihood of undernutrition in at least three of the surveys. Childhood undernutrition occurred concurrently with maternal overnutrition in some households.ConclusionsThe analysis reveals a slow decline of undernutrition among young children in Kenya over the last three decades. However, stunting and underweight still remain of public health significance. There is evidence of an emerging trend of a malnutrition double burden demonstrated by stunted and underweight children whose mothers are overweight.

scholarly journals Factors associated with low birth weight in Afghanistan: a cross-sectional analysis of the demographic and health survey 2015

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025715 ◽  
Author(s):  
Rajat Das Gupta ◽  
Krystal Swasey ◽  
Vanessa Burrowes ◽  
Mohammad Rashidul Hashan ◽  
Gulam Muhammed Al Kibria
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Urban Areas ◽  
Maternal Education ◽  
Multivariable Analysis ◽  
Demographic And Health Survey ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
Factors Associated

ObjectivesThis study aimed to investigate the factors associated with low birth weight (LBW) in Afghanistan.DesignCross-sectional study.SettingThis study used data collected from the Afghanistan Demographic and Health Survey 2015.ParticipantsFacility-based data from 2773 weighted live-born children enrolled by a two-stage sampling strategy were included in our analysis.Primary and secondary outcome measuresThe primary outcome was LBW, defined as birth weight <2.5kg.ResultsOut of 2773 newborns, 15.5% (n=431) had LBW. Most of these newborns were females (58.3%, n=251), had a mother with no formal schooling (70.5%, n=304), lived in urban areas (63.4%, n=274) or lived in the Central region of Afghanistan (59.7%, n=257). In multivariable analysis, residence in Central (adjusted OR (AOR): 3.4; 95% CI 1.7 to 6.7), Central Western (AOR: 3.0; 95% CI 1.5 to 5.8) and Southern Western (AOR: 4.0; 95% CI 1.7 to 9.1) regions had positive association with LBW. On the other hand, male children (AOR: 0.5; 95% CI 0.4 to 0.8), newborns with primary maternal education (AOR: 0.5; 95% CI 0.3 to 0.8), birth interval ≥48 months (AOR: 0.4; 95% CI 0.1 to 0.8), belonging to the richest wealth quintile (AOR: 0.2; 95% CI 0.1 to 0.6) and rural residence (AOR: 0.3; 95% CI 0.2 to 0.6) had decreased odds of LBW.ConclusionsMultiple factors had association with LBW in Afghanistan. Maternal, Neonatal and Child Health programmes should focus on enhancing maternal education and promoting birth spacing to prevent LBW. To reduce the overall burden of LBW, women of the poorest wealth quintiles, and residents of Central, Central Western and South Western regions should also be prioritised. Further exploration is needed to understand why urban areas are associated with higher likelihood of LBW. In addition, research using nationally representative samples are required.

Parental education and child mortality in Burundi

1991 ◽  
Vol 23 (3) ◽  
pp. 255-262 ◽  
Author(s):  
Josephine O'Toole ◽  
Robert E. Wright
Keyword(s):  
Child Mortality ◽  
Health Survey ◽  
Parental Education ◽  
Maternal Education ◽  
Proportional Hazards ◽  
Demographic And Health Survey ◽  
Proportional Hazards Models ◽  
Key Factor ◽  
Using Data ◽  
The Relationship

SummaryThis paper examines the relationship between parental education and child mortality in Burundi using data collected in the 1987 Demographic and Health Survey. Proportional hazards models are estimated to examine this relationship, while holding constant other known child mortality determinants. Parental education proves to be a key factor in explaining differences in child mortality, the effect of maternal education being particularly strong compared to paternal education.

scholarly journals A Decomposition Analysis of Inequality in Malnutrition among Under-Five Children in Iran: Findings from Multiple Indicator Demographic and Health Survey, 2010

2019 ◽  
Author(s):  
Abdollah ALMASIAN KIA ◽  
Sahar GOODARZI ◽  
Heshmatollah ASADI ◽  
Ardeshir KHOSRAVI ◽  
Aziz REZAPOUR
Keyword(s):  
Health Survey ◽  
Maternal Education ◽  
Socioeconomic Inequality ◽  
Demographic And Health Survey ◽  
Decomposition Approach ◽  
Under Five ◽  
Under Five Children ◽  
Multiple Indicator ◽  
The Impact ◽  
Concentration Indices

Background: Nutritional status at the early stages of children’s lives is essential for growth and development not only in infancy but also in adult life. This study aimed to measure the inequality in malnutrition among under-five children in Iran and explore the impact of socioeconomic factors on this inequality using a regression-based decomposition approach. Methods: Data were extracted from Iran's Multiple-Indicator Demographic and Health Survey 2010. The concentration index of stunting, underweight, and wasting were applied in order to measure the magnitude of socioeconomic inequality in child malnutrition. Moreover, the concentration indices were decomposed to understand the contribution of socioeconomic variables in childhood malnutrition inequality. Results: The obtained concentration indices of stunting, underweight, and wasting were respectively -0.177, -0.092, and -0.031. Socioeconomic inequality in stunting and underweight was statistically significant, however this socioeconomic gradient was not observed in wasting. More than 50% of the inequality in stunting and about 63% of the inequality in underweight were influenced by socioeconomic status. Furthermore, maternal education was associated with 19% and 22% of inequality in stunting and underweight respectively. Conclusion: The average reduction of malnutrition indices at the national level hides the burden of malnutrition among children in poor families. If government and policymakers seek to solve this problem, they have to take direct and targeted actions to eliminate the existing inequalities in the socioeconomic determinants associated with malnutrition.  

scholarly journals Magnitude and Associated Factors of Antenatal Care Utilization in Western Regions of Ethiopia: A study Based on Demographic and Health Survey Data

2021 ◽  
pp. 23-29
Author(s):  
Mekonin Abera Negeri
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Survey Data ◽  
Health Survey ◽  
Associated Factors ◽  
Maternal Education ◽  
Demographic And Health Survey ◽  
Multiple Logistic Regression ◽  
Health Survey Data ◽  
To Receive

Antenatal care (ANC) service is used to ensure the best health conditions for both mother and baby during pregnancy. There are marked disparities in the utilization of ANC utilization among regions of Ethiopia. Hence, this study was intended to analyze the magnitude and associated factors of ANC utilization in Western Regions of Ethiopia. The study was conducted based on 2019 Ethiopian Mini Demographic and Health Survey data. A total of 1200 women representing the three regions (Oromiya, Benishangul Gumuz and Gambela), who gave birth two years preceding the survey were included and the analysis was done by SPSS version 20. Multiple logistic regression was used to assess the net effect of associated factors of ANC utilization. Among the studied participants, 39.9%, 51.0% and 27.8%of women in Oromiya, Benishangul Gumuz and Gambela regions, respectively, received a minimum of four ANC visits from the skilled health personnel. The result from multiple logistic regression depicted that age in 5- year group, region, place of residence, maternal education and wealth index were significantly associated with the utilization of ANC service. The utilization of ANC service was higher among young women than old women while women in Benishangul Gumuz were more likely to receive ANC service than women in Gambela region. Better education attainment increases the likelihood of receiving ANC service from the skilled personnel. Urban women as well as rich women were more likely to receive ANC service than their respective rural and poor counterparts in the studied regions. Providing awareness creation on ANC utilization for women of fertile age is a best instrument to minimize maternal and child mortality.

scholarly journals Multilevel analysis of risk factors associated with severe underweight among children under 5 years: evidence from the 2014 Ghana Demographic and Health Survey

2021 ◽  
Vol 2 (1) ◽  
pp. 166-172
Author(s):  
Justice M K Aheto ◽  
Ogum-Alangea Deda
Keyword(s):  
Risk Factors ◽  
Health Survey ◽  
Maternal Education ◽  
Demographic And Health Survey ◽  
Multiple Birth ◽  
Demographic And Health Surveys ◽  
Z Score ◽  
Household Level ◽  
Factors Associated ◽  
Weight For Age

Background: Undernutrition among children <5yr. is a global public health problem, especially in developing countries like Ghana. Undernutrition increases the risk of child morbidity and mortality. There is paucity of data on household-level effects on severe underweight and associated factors. Objective: The study investigated the risk factors associated with severe underweight among children < 5yr.in Ghana and examined unobserved differences across households based on the 2014 Ghana Demographic and Health surveys (GDHS) data. Methods: Data from a population-based cross-sectional study was obtained from the 2014 Ghana Demographic and Health Survey. Data on 2720 children nested within 1972 households was extracted for analysis. Our regression analysis used data on 2716 children with complete data on the outcome and risk factors. Children with weight-for-age Z-score below -3 standard deviations were classified as severely underweight based on the 2006 WHO child growth standards. We applied random intercept multilevel logistic regression to examine whether severe underweight status in children differ across households while simultaneously identifying potential risk factors. Results: A total of 2720 children had valid weight-for-age z-score and 53 (1.95%) of them were identified as severely underweight. In the univariate model, child level variables such as multiple birth [odds ratio (OR), 4.03;95%confidence interval (CI): 1.85-8.76]and child born average (OR, 2.17;95%CI: 1.09-4.32) or small (OR, 4.08; 95%CI: 2.01-8.28) in size at birth are associated with increased odds of severe underweight. Maternal/household level variables such as increase in number of children below 5 yr. (OR, 1.61; 95%CI: 1.28-2.04), poorest households (OR, 4.85; 95%CI: 1.14-20.59) and increase in number of births in last 5 yr. (OR, 1.80, 95%CI: 1.24-2.60) were associated with increased odds of severe underweight. Increase in maternal years of education (OR, 0.89; 95%CI: 0.83-0.95) was associated with reduced odds of severe underweight. In the multilevel logistic model, only type of birth (OR, 1.61;95%CI: 1.28-2.04), size of child (average: OR, 2.12;95%CI: 1.04-4.33; small: OR, 3.87;95%CI: 1.80-8.33) at birth, and maternal education (OR, 0.92;95%CI: 0.84-1.00) were independently associated with severe underweight. There were no significant residual household-level variations in severe underweight status. Conclusion: Our findings suggest that improving maternal education, socioeconomic conditions of families, and family planning are critical in addressing severe underweight

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