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1.
Matern Child Health J ; 21(4): 797-808, 2017 04.
Article in English | MEDLINE | ID: mdl-27520556

ABSTRACT

Objective Malnutrition in children pervades all aspects of their health, growth, cognitive and social development and can lead to irreversible and lifelong effects. We examine the prevalence and determinants of malnutrition in children under 5 in the Ghanaian population. Methods Using data from the latest available Ghana Demographic and Health Survey (GDHS), we estimated and compared prevalence of malnutrition in children among the different subgroups of the population. We used multivariable logistic regression to identify potential factors associated with childhood malnutrition in Ghana. Results Overall, 35.6 % (95 % CI: 33.6, 37.6) of Ghanaian children under 5 years of age suffer from some form of malnutrition. Specifically, 27.5 % (95 % CI: 25.1, 28.7), 13.8 % (95 % CI: 12.5, 15.3), 8.9 % (95 % CI: 7.8, 10.2) were stunted, underweight and wasted, respectively. Results from the logistic regression indicate that gender and age of the child, educational and nutritional status of the mother, and financial status of the household are risk factors associated with childhood malnutrition in Ghana. Conclusions for Practice In view of the observed high rate of malnutrition among Ghanaian children despite the interventions that have been in place since the 1990s, there is a need for increased awareness and improved targeted interventions as well as knowledge translation tools including extensive education on infant and young child feeding practices.


Subject(s)
Breast Feeding/methods , Infant Care/methods , Malnutrition/epidemiology , Malnutrition/prevention & control , Mothers/education , Adult , Age Factors , Child, Preschool , Female , Geography , Ghana/epidemiology , Humans , Infant , Infant, Newborn , Logistic Models , Male , Prevalence , Sex Factors , Socioeconomic Factors
2.
J Biosoc Sci ; 32(1): 47-61, 2000 Jan.
Article in English | MEDLINE | ID: mdl-10676059

ABSTRACT

Using Demographic and Health Survey datasets from Ghana and Nigeria, this study examined whether the protective effects of breast-feeding are greatest where the poorest sanitation conditions prevail. It was found that mixed-fed infants aged between 0 and 11 months tend to have a higher risk of diarrhoea than fully breast-fed children, while the risk of diarrhoea among weaned infants is twice that of mixed-fed infants. The probit regression models employed in the analysis were used to predict the probability of diarrhoea associated with each breast-feeding pattern for both 'poor' and 'good' sanitation areas. It was found that the risk of diarrhoea among mixed-fed infants in the poor sanitation areas tends to be high while the same risk among fully breast-fed infants tends to be minimal. In essence, the health risks of mixed feeding are real, particularly for infants aged less than 7 months, and are even worse for those weaned before 6 months of age.


PIP: This paper studies the interactions between breast-feeding practices, household environmental sanitation and diarrhea-related diseases in Ghana and Nigeria, employing the data collected from the Demographic and Health Surveys conducted in Ghana in 1993 and Nigeria in 1990. Results showed that mixed-fed infants aged between 0 and 11 months tend to have a higher risk of diarrhea than fully breast-fed children, while the risk of diarrhea among the weaned infants is twice that of mixed-fed infants. The probit regression models employed in the analysis were used to predict the probability of diarrhea associated with each breast-feeding pattern for both ¿poor¿ and ¿good¿ sanitation areas. Furthermore, it was found that the risk of diarrhea among mixed-fed infants in the poor sanitation areas tends to be high, while the same risk among fully breast-fed infants tends to be minimal. In conclusion, health risks of mixed feeding are substantial, particularly for infants aged under 7 months, and are even worse for those weaned before 6 months of age.


Subject(s)
Breast Feeding , Diarrhea, Infantile/epidemiology , Sanitation , Diarrhea, Infantile/etiology , Educational Status , Female , Ghana/epidemiology , Humans , Incidence , Infant , Infant Food , Infant, Newborn , Likelihood Functions , Male , Multivariate Analysis , Nigeria/epidemiology , Predictive Value of Tests , Prevalence , Risk Factors , Socioeconomic Factors , Water Pollution/adverse effects
3.
Soc Biol ; 47(1-2): 94-113, 2000.
Article in English | MEDLINE | ID: mdl-11521459

ABSTRACT

The possibility of selection bias in the estimation of the effects of breastfeeding on subsequent survival is implied by the clinical evidence that children who are healthier at birth are more likely to be breastfed than their less healthy counterparts who may be prone to difficulties in sustaining breastfeeding. This paper addresses an important problem in understanding the association of breastfeeding and child survival with regard to reverse causation. It utilizes data on the reported reason for weaning to assess the degree to which reverse causality may be responsible for observed associations. The analysis indicates that children who are weaned in the neonatal period because of illness or weakness to suckle, experience a much higher risk of dying than others. This is not mainly because of the cessation of breastfeeding, but because of the original factor, being their illness. Any biases imparted by an initial selection mechanism appear, therefore, to have influence on the effectiveness of breastfeeding behavior.


Subject(s)
Breast Feeding/psychology , Breast Feeding/statistics & numerical data , Infant Mortality , Maternal Behavior , Mothers/statistics & numerical data , Adolescent , Adult , Age Distribution , Analysis of Variance , Birth Order , Causality , Health Surveys , Humans , Infant , Infant Nutrition Disorders/etiology , Infant Nutrition Disorders/mortality , Infant Welfare , Infant, Newborn , Logistic Models , Maternal Age , Morbidity , Mothers/education , Mothers/psychology , Nigeria/epidemiology , Proportional Hazards Models , Risk Factors , Selection Bias , Survival Analysis , Weaning
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