Background: Stunting continues to be a child public health concern in many African countries, including South Africa. This study uses data from the Birth to Twenty study, held in Johannesburg, to investigate a range of household-level socioeconomic and social support predictors of stunting in children aged less than 30 months.

Design: Logistical regression models were constructed using a conceptual framework to investigate the association between early life measures of socio-economic status and stunting (<--2 standard deviations from the WHO (2006) standard), using data collected in the Birth to Twenty study.

Results: Stunting prevalence was 18.0% (213/1 186). In unadjusted analyses, numerous socio-economic status exposures showed significant associations with stunting; however, in final multivariable models, decreased likelihood of stunting was seen in children born to mothers who were employed (adjusted odds ratio (AOR) = 0.60, 95% confidence interval (CI) 0.40-0.88), those with fathers who had completed secondary school (AOR = 0.59, 95% CI 0.40-0.85), and whose parents employed a domestic worker (AOR = 0.40, 95% CI 0.19-0.83), while increased likelihood of stunting was seen in male children (AOR = 1.40, 95% CI 1.03-1.91), and those born of low birth weight (AOR = 2.56, 95% CI 1.54-4.26).

Conclusions: Stunting and child malnutrition remain policy priorities for the South African Department of Health, and this study suggests that policies that aim to increase parental education level and reduce unemployment or target additional support to families with low education or unemployed parents may reduce stunting in preschool-age children in this setting.

Download full-text PDF

Source

Publication Analysis

Top Keywords

predictors stunting
8
socio-economic predictors
4
stunting
4
stunting preschool
4
preschool children--a
4
children--a population-based
4
population-based study
4
study johannesburg
4
johannesburg soweto
4
soweto background
4

Similar Publications

Objective: Disasters often have long-lasting effects on the mental health of people affected by them. This study aimed to examine the trajectories and predictors of mental health in people affected by disasters according to their income level.

Method: This study used data from the "Long-Term Survey on the Change of Life of Disaster Victim" conducted by the National Disaster Management Research Institute.

View Article and Find Full Text PDF

: Interincisive midline deviation is frequent. Determining the cause (dental versus skeletal) is crucial for treatment planning. This study assessed the null hypothesis that neither clinical dental midline shift nor the temporomandibular disorder (TMD)-affected side correlate with maxillary/mandibular asymmetry.

View Article and Find Full Text PDF

Background: Stunting is a vital indicator of chronic undernutrition that reveals a failure to reach linear growth. Investigating growth and nutrition status during adolescence, in addition to infancy and childhood is very crucial. However, the available studies in Ethiopia have been usually focused in early childhood and they used the traditional stastical methods.

View Article and Find Full Text PDF

Background: Growth differentiation factor 15 (GDF15) is significantly correlated with glycolipid metabolic disorders. Increased GDF15 levels are associated with obesity, insulin resistance, and diabetes as well as a poorer diabetes progression and prognosis. This is a prospective cohort study investigated the association between circulating GDF15 and diabetic peripheral artery disease.

View Article and Find Full Text PDF

Background: Child malnutrition remains a critical public health problem, with socioeconomic factors playing a significant role. Socioeconomic factors include household income, parental education, and access to healthcare, which influence a child's nutritional status. Despite overall progress in reducing under-five child malnutrition in Kenya, disparities persist.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!