Determinants of Nutritional Status of Preschool Children from Rural Households in Kaduna and Kano States, Nigeria

Ojiako, Ifeanyi A.; Manyong, Víctor M.; Ikpi, Anthony

doi:10.3923/pjn.2009.1497.1505

Cited by 13 publications

(12 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In essence, we found out that child whose parents are educated have the probability of having a better health status compared to children whose parents are not educated. This finding is in line with Olaniyan (2002) and Ifeanyi, et al (2009).…”

Section: Results Interpretationsupporting

confidence: 90%

Poverty, Household Characteristics and Child Health Care in Nigeria

Sunkanmi¹

2012

IJBM

View full text Add to dashboard Cite

Poverty is a household name in developing countries such as Nigeria and has been recognized as a major problem inhibiting economic growth and development. As such, this study examined poverty, household characteristics and child health care in Nigeria with the aim of finding out how poverty affects child health care considering host of household characteristics. The theoretical framework is based on household utility maximization derived from the human capital analysis, while logit regression estimation technique was adopted for our analysis. Parental education influenced children health status and also positively significant in child height for age. Also, household size and economic status are also significant factors in determining child health status. The study therefore recommends that government should put in place policies to reduce the identified constraints to child health care.

show abstract

Section: Results Interpretationsupporting

confidence: 90%

Poverty, Household Characteristics and Child Health Care in Nigeria

Sunkanmi¹

2012

IJBM

View full text Add to dashboard Cite

show abstract

“…However, in the developing countries, overweight and obesity appear to be more common among the high socioeconomic class [15][16][17]. Meanwhile, children of low socioeconomic status are vulnerable to under nutrition and poor health outcomes rather than over nutrition, [18]. Findings from Columbia showed that malnutrition had negative impact on school achievement [3].…”

Section: Introductionmentioning

confidence: 99%

Malnutrition and associated factors in children: a comparative study between public and private schools in Hohoe Municipality, Ghana

2016

View full text Add to dashboard Cite

Background: Due to vulnerabilities resulting from disparities in socio-economic status (SES), most nutrition and health interventions are targeted at children in public schools. This study was conducted to investigate the determinants of malnutrition among pupils attending public and private schools in the Hohoe municipality, Ghana. Methods: School-based cross-sectional survey, which used a multi-stage random sampling technique to select 633 pupils, aged 3-12 years enrolled in 14 public and seven private schools. Data was collected through face-to-face interviews using semi-structured questionnaire. Type of school attended was used as proxy of SES of the pupils. Weight, height and mid upper-arm circumference were measured and used to generate underweight, stunting, thinness and obesity levels using WHO Antroplus and STATA 12.1. Mutually adjusted simple and multinomial logistic regressions were performed to determine associations between explanatory and dependent variables. Results: Underweight (13 % vs. 2 %, p = <0.0001), stunting (12 % vs. 3 %, p = <0.0001) and thinness (8 % vs. 1.4 %, p < 0.0001) were higher among pupils attending public schools compared to their private schools counterparts. Public school pupils had increased likelihood for underweight (AOR = 7.5; 95 % CI = 2.4-23; p = 0.001) and an increase risk for thinness (RR = 4.7; 95 % CI = 1.5-21.2; p = 0.028) but had decrease risk for overweight (RR = 0.3; 95 % CI = 0.1-1; p = 0.043). Overweight (9 %) was higher among private schools pupils compared to public schools (3 %). Underweight (14 % vs. 6 %), stunting (14 % vs. 4 %) and thinness (8 % vs. 4 %) were higher among pupils in rural schools compared to urban dwellers. Rural schools children were twice likely to become stunted (AOR = 2.6; 95 % CI = 1.0-6.4; p = 0.043). However among pupils attending schools in urban areas, the prevalence of overweight was 7 % compare to 1 % in rural areas. Pupils who consumed only two meals per day were more likely to be underweight (AOR = 6.8; 95 % CI = 1.4-32.2; p = 0.016), stunted (AOR = 7.2; 95 % CI = 1.2-43.7; p = 0.033) and thin (RR = 9.4; 95 % CI = 2.0-47.8; p = 0.007) compared to those who had at least three square meals daily. Conclusion: Both under nutrition and over-nutrition were common among the school pupils but overweight appeared largely driven by high SES and urbanization while under nutrition was associated with low SES and rural residency. Interventions targeting school children should aim at reducing poverty and hunger as these factors remain as underlying causes of malnutrition in childhood.

show abstract

“…For instance, malnourished as compared to non-malnourished children are physically, emotionally and intellectually less productive and suffer more from chronic illnesses and disabilities [6,15,16]. Malnutrition among children depends on complex interactions of various factors reflecting socio-demographic, environmental, reproductive, institutional, cultural, political and regional factors [3,4,6,13,14,17-19]. Already many studies have been conducted to find the predictors of malnutrition in Bangladesh and elsewhere [7,8,20-28].…”

Section: Introductionmentioning

confidence: 99%

“…Mueller et al [34] applied logistic regression to study the relationship of malnutrition with morbidity and mortality among West African children. Ojiako et al (2009) used Tobit model to find the determinants of malnutrition among preschool children in Nigeria [19]. Sometimes we see studies which addressed non-negative outcome variables like number of children in a household [35,36] and number of accidents [37].…”

Section: Introductionmentioning

confidence: 99%

Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model

et al. 2013

View full text Add to dashboard Cite

BackgroundMalnutrition is one of the principal causes of child mortality in developing countries including Bangladesh. According to our knowledge, most of the available studies, that addressed the issue of malnutrition among under-five children, considered the categorical (dichotomous/polychotomous) outcome variables and applied logistic regression (binary/multinomial) to find their predictors. In this study malnutrition variable (i.e. outcome) is defined as the number of under-five malnourished children in a family, which is a non-negative count variable. The purposes of the study are (i) to demonstrate the applicability of the generalized Poisson regression (GPR) model as an alternative of other statistical methods and (ii) to find some predictors of this outcome variable.MethodsThe data is extracted from the Bangladesh Demographic and Health Survey (BDHS) 2007. Briefly, this survey employs a nationally representative sample which is based on a two-stage stratified sample of households. A total of 4,460 under-five children is analysed using various statistical techniques namely Chi-square test and GPR model.ResultsThe GPR model (as compared to the standard Poisson regression and negative Binomial regression) is found to be justified to study the above-mentioned outcome variable because of its under-dispersion (variance < mean) property. Our study also identify several significant predictors of the outcome variable namely mother’s education, father’s education, wealth index, sanitation status, source of drinking water, and total number of children ever born to a woman.ConclusionsConsistencies of our findings in light of many other studies suggest that the GPR model is an ideal alternative of other statistical models to analyse the number of under-five malnourished children in a family. Strategies based on significant predictors may improve the nutritional status of children in Bangladesh.

show abstract

Determinants of Nutritional Status of Preschool Children from Rural Households in Kaduna and Kano States, Nigeria

Cited by 13 publications

References 17 publications

Poverty, Household Characteristics and Child Health Care in Nigeria

Poverty, Household Characteristics and Child Health Care in Nigeria

Malnutrition and associated factors in children: a comparative study between public and private schools in Hohoe Municipality, Ghana

Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model

Contact Info

Product

Resources

About