scholarly journals The double burden of overnutrition and undernutrition in mother−child dyads in Kenya: demographic and health survey data, 2014

2020 ◽  
Vol 9 ◽  
Author(s):  
Peninah Kinya Masibo ◽  
Felix Humwa ◽  
Teresia Njoki Macharia

Abstract The double burden of overnutrition and undernutrition is rapidly becoming a public health concern in low- and middle-income countries. We explored the occurrence of mother−child pairs of over- and undernutrition and the contributing factors using the 2014 Kenya Demographic and Health Survey data. A weighted sample of 7830 mother−child pairs was analysed. The children's nutritional status was determined using the WHO 2006 reference standards while maternal nutritional status was determined with BMI. Descriptive statistics, bivariate and multivariate logistic regression analysis were conducted. The proportion of overweight and obese mothers was 26 % (18·8 % overweight and 7·2 % obese). The prevalence of child stunting, underweight and wasting was 26·3, 12·8 and 5·1 %, respectively. Out of the overweight/obese mothers (weighted n 2034), 20 % had stunted children, 5·4 % underweight children and 3·1 % wasted children. Overweight/obese mother−stunted child pairs and overweight/obese mother−underweight child pairs were less likely to occur in the rural areas (adjusted OR (aOR) = 0·43; P < 0·01) in comparison with those residing in the urban areas (aOR = 0·54; P = 0·01). Children aged more than 6 months were more likely to be in the double burden dyads compared with children below 6 months of age (P < 0·01). The double burden mother−child dyads were more likely to be observed in wealthier households. Mother−child double burden is a notable public health problem in Kenya. Household wealth and urban residence are determinants of the double burden. There is need for target-specific interventions to simultaneously address child undernutrition and maternal overweight/obesity.

2018 ◽  
Vol 11 (1) ◽  
pp. 425-437
Author(s):  
Faustin Habyarimana ◽  
Temesgen Zewotir ◽  
Shaun Ramroop

Background:Anemia is an important public health problem affecting all age groups of the population. The objective of this study was to identify the risk factors associated with anemia among women of childbearing age in Rwanda and map their spatial variation.Methods:The 2014/15 Rwanda Demographic and Health survey data was used and the structured logistic regression model was fitted to the data, where fixed effects were modeled parametrically, non-linear effects were modeled non-parametrically using second order random walk priors and spatial effects were modeled using Markov Random field priors.Results:The prevalence of anemia among non-pregnant women of reproductive age was 18.9%. Women from the households which use water from the unprotected well had a higher risk of having anemia than a woman from the household where they use water piped into dwelling or yard. The risk of anemia was higher among underweight women and women living in households without toilet facilities. The anemia was less pronounced among the women using contraception, literate women, women from the households which use a bed net and living in rich households.Conclusion:The findings from this study highlighted the districts with the highest number of anemic women and this can help the policymakers and other public health institutions to design a specific programme targeting these districts in order to improve the health status and living conditions of these women. The findings also suggest an improvement of toilet facilities, bed net use and source of drinking water in affected households.


2012 ◽  
Vol 15 (11) ◽  
pp. 2140-2147 ◽  
Author(s):  
Lisa R Pawloski ◽  
Kevin M Curtin ◽  
Constance Gewa ◽  
David Attaway

AbstractObjectiveThe purpose of the study was to examine geographic relationships of nutritional status (BMI), including underweight, overweight and obesity, among Kenyan mothers and children.DesignSpatial relationships were examined concerning BMI of the mothers and BMI-for-age percentiles of their children. These included spatial statistical measures of the clustering of segments of the population, in addition to inspection of co-location of significant clusters.SettingRural and urban areas of Kenya, including the cities of Nairobi and Mombasa, and the Kisumu region.SubjectsMother–child pairs from Demographic and Health Survey data including 1541 observations in 2003 and 1592 observations in 2009. These mother–child pairs were organized into 399 locational clusters.ResultsThere is extremely strong evidence that high BMI values exhibit strong spatial clustering. There were co-locations of overweight mothers and overweight children only in the Nairobi region, while both underweight mothers and children tended to cluster in rural areas. In Mombasa clusters of overweight mothers were associated with normal-weight children, while in the Kisumu region clusters of overweight children were associated with normal-weight mothers.ConclusionsThese findings show there is geographic variability as well as some defined patterns concerning the distribution of malnutrition among mothers and children in Kenya, and suggest the need for further geographic analyses concerning the potential factors which influence nutritional status in this population. In addition, the methods used in this research may be easily applied to other Demographic and Health Survey data in order to begin to understand the geographic determinants of health in low-income countries.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mesfin Wudu Kassaw ◽  
Ayele Mamo Abebe ◽  
Biruk Beletew Abate ◽  
Seteamlak Adane Masresha ◽  
Ayelign Mengesha Kassie ◽  
...  

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.


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