Determinants of Stunting in Children Under Five in Rural Areas

Purwita, Eva

doi:10.35335/midwifery.v10i4.729

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…Other studies in Indonesia also discovered a higher stunting proportion of children under two years old in the countryside than in the city Laksono et al, 2020). A systematic review and meta-analysis reported that stunting in Indonesian villages is strongly affected by maternal education, family income, maternal nutritional knowledge, exclusive breastfeeding, the age of complementary food, adequate zinc and iron, a record of infection, and genetic factors (Purwita et al, 2022).…”

Section: Discussionmentioning

confidence: 97%

Stunting Among Wealthy Indonesian Families: A Cross-Sectional Study of Children Under the Age of Two

Laksono,

Wulandari,

Susianti

et al. 2024

JPSS

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Previous studies globally report that poverty was a determinant of stunting. However, studies also showed that stunting can be found in wealthy families. To analyze factors related to stunting among wealthy families, we examined the 2021 Indonesian National Nutritional Status Survey. This cross-sectional study included 23,957 children under the age of two years old. In addition to stature, the study analyzed eight independent variables (e.g., residence, maternal age, marital, education, employment, children's age, gender, and early initiation breastfeeding). By employing a binary logistic regression test in the last analysis, this study found that children in rural areas were 1.160 times more likely to be stunted than those in urban areas (95% CI [1.152, 1.168], p < .001). The characteristics of mothers were also found to be related to stunting, including age, marital status, education, and employment. Additionally, 12–13-month-old children were 3.033 times more likely to be stunted than < 12 months (95% CI [3.011, 3.055], p < .001). Boys were 1.320 times more likely to be stunted than girls (95% CI [1.311, 1.328], p < .001). Children with early breastfeeding initiation were 1.025 times more likely to be stunted than those without (95% CI [1.018, 1.031], p < .001). Lastly, eight significant factors related to stunting among wealthy families in Indonesia were found: residence, maternal age, marital, education, employment, children's age, gender, and early breastfeeding initiation. The government must focus on the specific targets produced in this study to accelerate reducing the prevalence of stunting in wealthy Indonesian families.

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Section: Discussionmentioning

confidence: 97%

Stunting Among Wealthy Indonesian Families: A Cross-Sectional Study of Children Under the Age of Two

Laksono,

Wulandari,

Susianti

et al. 2024

JPSS

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Linear growth determinants of under two years old children in Surabaya, Indonesia

Nadhiroh,

Ayuningtyas,

Salsabil

2024

Clinical Epidemiology and Global Health

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Prevalence of stunting and its correlates among children under 5 in Afghanistan: the potential impact of basic and full vaccination

Dadras,

Suwanbamrung,

Jafari

et al. 2024

BMC Pediatr

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Background Child stunting is prevalent in low and middle-income countries (LMICs), but an information gap remains regarding its current prevalence, correlates, and the impact of vaccination against this condition in Afghanistan. This study aimed to determine the prevalence and correlates of moderate and severe stunting and the potential impact of basic and full vaccination among children under five in Afghanistan. Methods This is a secondary analysis of the 2022-23 Afghanistan Multiple Indicators Cluster Survey (MICS) including 32,989 children under 5. Descriptive statistics were employed to describe the distribution of independent variables and the prevalence of stunting across them. Chi-square analysis was used to examine the association between each independent variable with stunting. Multinomial logistic regression was used to examine the risk of stunting across different independent variables. Results A total of 32,989 children under 5 years old were included in this study. Of those 44.7% were stunted with 21.74% being severely stunted. Children aged 24–35 and 36–47 months faced the highest risk as compared to those aged 1–5 months. The prevalence was lower in female children and they were less likely to experience severe stunting. Stunting was more prevalent in rural areas, with children there 1.16 to 1.23 times more likely to be affected than urban counterparts. Lower wealth correlated with higher stunting. Younger maternal age at birth (≤ 18) correlated with increased stunting risks, particularly in severe cases. Parental education was inversely related to stunting; higher education levels in parents, especially fathers, were associated with lower stunting rates. Households with more than seven children showed a 25% and 44% higher risk of moderate and severe stunting, respectively, compared to families with 1–4 children. Improved sanitation, but not drinking water sources, was linked to reduced stunting in the adjusted model. Vaccination had a protective effect; in the adjusted analysis, basic and full vaccinations significantly lowered the risk of severe stunting by 46% and 41%, respectively. Conclusion In this nationally representative study, the prevalence of stunting was substantial (44.7%) in Afghan children. Additionally, the findings emphasize the critical factors associated with child stunting and underscore the protective role of vaccination against this condition, which provides policymakers with directions for policy efforts and intervention strategies to reduce child stunting in Afghanistan.

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Determinants of Stunting in Children Under Five in Rural Areas

Cited by 5 publications

References 8 publications

Stunting Among Wealthy Indonesian Families: A Cross-Sectional Study of Children Under the Age of Two

Stunting Among Wealthy Indonesian Families: A Cross-Sectional Study of Children Under the Age of Two

Linear growth determinants of under two years old children in Surabaya, Indonesia

Prevalence of stunting and its correlates among children under 5 in Afghanistan: the potential impact of basic and full vaccination

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