Household and community socioeconomic and environmental determinants of child nutritional status in Cameroon

Pongou, Roland; Ezzati, Majid; Salomon, Joshua A.

doi:10.1186/1471-2458-6-98

Cited by 168 publications

(170 citation statements)

References 33 publications

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“…A negative gender effect for male children is often reported but it tends to be small and does not necessarily show up significantly (Pongou et al, 2006). Our findings are similar since the coefficient associated with male gender is negative across specifications, albeit not always statistically significant (compare WAZ model for DHS with that for LSMS, Table 4).…”

Section: Child Nutritional Statussupporting

confidence: 75%

How Much Should We Trust Micro-data? A Comparison of the Socio-demographic Profile of Malawian Households Using Census, LSMS and DHS data

Tasciotti

Wagner

2017

Eur J Dev Res

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Section: Child Nutritional Statussupporting

confidence: 75%

How Much Should We Trust Micro-data? A Comparison of the Socio-demographic Profile of Malawian Households Using Census, LSMS and DHS data

Tasciotti

Wagner

2017

Eur J Dev Res

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“…Previous studies have shown a negative linear association between socioeconomic status and prevalence of childhood morbidity, because higher socioeconomic status is associated with healthy living conditions such as drinking water, access to appropriate sanitation and adequate nutrition (Pongou et al, 2006a). Results from the multivariate analyses show no statistical significant association between the household socio-economic status (asset index) and prevalence of fever.…”

Section: Resultsmentioning

confidence: 64%

“…Due to poverty, insufficient household sanitary conditions and other related factors, mothers might not be able to feed infants with enough clean breast milk so that mixed low quality foods or contaminated water are used instead (Pongou et al, 2006a, UNICEF, 1998. Furthermore, maternal nutritional status and health contribute to her inability to breast feed.…”

Section: Resultsmentioning

confidence: 99%

Diarrhoea, acute respiratory infection, and fever among children in the Democratic Republic of Congo

Kandala

Emina

Nzita

et al. 2009

Social Science & Medicine

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Several years of war have created a humanitarian crisis in the Democratic Republic of Congo (DRC) with extensive disruption of civil society, the economy and provision of basic services including health care. These challenges are faced against a background of heavy disease burden, especially of HIV/ AIDS, tuberculosis, diarrhoea, acute respiratory infection, and malaria. Health policy and planning in the DRC are constrained by a lack of reliable and accessible population data.Thus there is currently a need for primary research to guide programme and policy development for reconstruction and to measure attainment of the Millennium Development Goals (MDGs).This study uses the 2001 Multiple Indicators Cluster Survey to disentangle children's health inequalities by mapping the impact of geographical distribution of childhood morbidity stemming from diarrhoea, acute respiratory infection, and fever. We account for important risk factors and nonlinear effects using a Bayesian geo-additive regression model based on Markov Chain Monte Carlo techniques.We observe a low prevalence of childhood diarrhoea, acute respiratory infection and fever in the western provinces (Kinshasa, Bas-Congo and Bandundu), and a relatively higher prevalence in the south-eastern provinces (Sud-Kivu and Katanga). However, each disease has a distinct geographical pattern of variation. Among covariate factors, child age had a significant association with disease prevalence. The risk of the three ailments increased in the first 8-10 months after birth, with a gradual improvement thereafter. The effects of socioeconomic factors vary according to the disease.Accounting for the effects of the geographical location, our analysis was able to explain a significant share of the pronounced residual geographical effects. Using large scale household survey data, we have produced for the first time spatial residual maps in the DRC and in so doing we have undertaken a comprehensive analysis of geographical variation at province level of childhood diarrhoea, acute respiratory infection, and fever prevalence. Understanding these complex relationships through disease prevalence maps can facilitate design of targeted intervention programs for reconstruction and achievement of the MDGs.

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“…The potential strength of these underlying determinants of child nutrition was first raised at Alma-Ata in 1978 and later incorporated into the framework on child undernutrition developed by UNICEF in 1991 (14,37) . Although recent studies have shown a growing recognition that mothers and children reside in communities and that shared environmental contexts may be of key importance in improving child nutrition (38)(39)(40) , we are not aware of any corresponding research that has systematically quantified and investigated the influence of multiple aspects of the community environment on child nutritional status.…”

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confidence: 99%

Shared environments: a multilevel analysis of community context and child nutritional status in Bangladesh

Corsi

Chow

Lear

et al. 2011

Public Health Nutr.

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Objective: The goal of the present study was to examine the influence of community environment on the nutritional status (weight-for-age and height-forage) of children (aged 0-59 months) in Bangladesh. In addition, we tested the association between specific characteristics of community environments and child nutritional status. Design: Cross-sectional survey. Setting: The data are from the nationally representative 2004 Bangladesh Demographic and Health Survey. Subjects: Respondents were ever-married women (aged 15-49 years) and their children (n 5731), residing in 361 communities. Child nutritional outcomes are physical measurements of weight-for-age and height-for-age in SD units. We considered the following attributes of community environments potentially related to child nutrition: (i) community water and sanitation infrastructure; (ii) availability of community health and education services; (iii) community employment and social participation; and (iv) education level of the community. Results: Multilevel regression analysis showed that the spatial distribution of maternal and child covariates did not entirely explain the between-community variation in child nutritional status. The education level of the community emerged as the strongest community-level predictor of child height-for-age (highest v. lowest tertile, b 5 0?18 (SE 0?07)) and weight-for-age (highest v. lowest tertile, b 5 0?21 (SE 0?06)). In the height-for-age model, community employment and social participation also emerged as being statistically significant (highest v. lowest tertile, b 5 0?13 (SE 5 0?06)). Conclusions: The community environment influences child nutrition in Bangladesh, and maternal-and child-level covariates may fail to capture the entire influence of communities. Interventions to reduce child undernutrition in developing countries should take into consideration the wider community context.

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Household and community socioeconomic and environmental determinants of child nutritional status in Cameroon

Cited by 168 publications

References 33 publications

How Much Should We Trust Micro-data? A Comparison of the Socio-demographic Profile of Malawian Households Using Census, LSMS and DHS data

How Much Should We Trust Micro-data? A Comparison of the Socio-demographic Profile of Malawian Households Using Census, LSMS and DHS data

Diarrhoea, acute respiratory infection, and fever among children in the Democratic Republic of Congo

Shared environments: a multilevel analysis of community context and child nutritional status in Bangladesh

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