Simultaneous Wasting and Stunting (WaSt), Wasting and Anaemia (WaAn) and Wasting, Stunting and Anaemia (WaStAn) among Children 6-59 Months in Karamoja, Uganda

Published: Jan. 20, 2025

Child malnutrition remains a significant public health concern in Karamoja, Uganda. This study investigated the prevalence and determinants of simultaneous wasting, stunting, anaemia (collectively termed WaStAn) among children aged 6-59 months Karamoja. Secondary data from Food Security Nutrition Assessment (FSNA) collected by World Program, UNICEF Uganda Bureau Statistics February 2022 were used. The participants included women 15-49 years 0-59 living with their mothers. analysis revealed high wasting (13.0%), stunting (41.4%), (55.1%), younger (12-23 months) disproportionately affected. A worrying 4.6% presented WaStAn, highlighting need for comprehensive approaches targeting multiple forms undernutrition. Factors associated WaStAn age, sex (males more affected), geographical location, socioeconomic status, maternal education, food consumption score (wasting), residence type (stunting). underscores urgency multisectoral interventions addressing these risk factors across various levels. Recommendations include improved screening treatment, promotion optimal feeding practices, micronutrient supplementation, deworming, hygiene improvements, women's empowerment, enhanced security, strengthened district-level capacity nutrition management.

Language: Английский

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Nutritional Status of Children Under Five Years in the Slums of West Bengal, India: A Cross-Sectional Study on Prevalence, Characteristics, and Determinants

Nutrients, Journal Year: 2025, Volume and Issue: 17(5), P. 853 - 853

Published: Feb. 28, 2025

Objective: With rapid urbanization in countries like India, understanding the nutritional status and needs of urban populations, particularly among underprivileged groups such as people living slums, is crucial. This study investigates prevalence, characteristics, determinants child malnutrition slums Kolkata Municipal Corporation (KMC) Siliguri (SMC) West Bengal, India. Methods: A cross-sectional was conducted 736 children aged 6-59 months. Data were collected using structured interviews to gather socioeconomic, demographic, dietary information, alongside anthropometric measurements. The analysis employed Composite Index Anthropometric Failure (CIAF), multiple linear regression (MLR) models identify key factors influencing malnutrition. Results: findings revealed a high prevalence stunting (24.1%), underweight (22.3%), wasting (15.4%) months, with significant variations observed between two sites. Key predictors include low household income, incidence recent illness, maternal nutrition, delayed initiation breastfeeding. Conclusions: Addressing requires integrated strategies encompassing income-generation opportunities, health-sensitive planning, focused health interventions.

Language: Английский

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Co-Occurrences of Forms of Child Undernutrition in India: Insights from the National Family Health Survey

Nutrients, Journal Year: 2025, Volume and Issue: 17(6), P. 977 - 977

Published: March 11, 2025

Background: The composite index of anthropometric failure (CIAF) studies co-occurrences three forms child undernutrition: stunting (S), wasting (W), and underweight (U). This study attempts to modify it through the inclusion a fourth form undernutrition, that is, anaemia (A), serving as proxy for micronutrient deficiencies among under-five children in India. Methods: Spatial multivariate analyses were employed analyse undernutrition with reference child’s mother’s characteristics using National Family Health Survey (NFHS) data. Results: modified “CIAF + Anaemia” identified thirteen manifestations India, most prevalent co-occurrence being “only anaemia” (30%), followed by triple burden or stunting, underweight, (SUA) (12%). prevalence quadruple (SWUA) was found be highest states Jharkhand Gujarat (7%). A higher likelihood “SUA” observed mothers (16%), whereas more overweight (35%) compared their counterparts. “SWUA” moderately clustered districts Conclusions: Overall, reinforces need early identification specialised treatment approaches burdened multiple prevent its scarring effect.

Language: Английский

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Concurrence of anemia and stunting and associated factors among children aged 6 to 59 months in Peru

PLOS Global Public Health, Journal Year: 2024, Volume and Issue: 4(4), P. e0002914 - e0002914

Published: April 2, 2024

Anemia and stunting are two health problems in the child population; therefore, their concurrence needs to be quantified. We estimated prevalence of concurrent anemia (CAS) children aged 6-59 months identified factors associated with this condition. The data came from Demographic Health Survey Peru (DHS), 2022. study design was cross-sectional included 19,191 children. Height hemoglobin measurement followed specifications National Institute Peru. To reduce error measures, anthropometry personnel training, quality measuring equipment ensuring, protocolized techniques procedures applying. Hemoglobin concentration measured capillary blood using Hemocue model Hb 201+. Stunting defined as a height-for-age Z-score less than minus standard deviations (SD) median, following 2006 WHO growth standard. classified into mild (10.0 10.9 g/dL), moderate (7.0 9.9 severe (< 7.0 no (11.0 14.0 g/dL). performed bivariate analysis evaluate CAS. include variables multivariate analysis, we applied statistical criterion (p < 0.10 crude analysis) an epidemiological criterion. used binary logistic hierarchical regression model. CAS 5.6% (95%CI: 5.2 5.9). modifiable higher odds were: "poorest" (aOR: 3.87, 95%CI: 1.99 7.5) "poorer" 2.07, 1.08 3.98) wealth quintiles, mother formal education or primary 2.03, 1.46 2. 81), father 1.55, 1.16 2.07), improved water source 1.36, 1.10 1.68), roof material 1.49, 1.12 1.98) low birth weight 7.31, 4.26 12.54). In Peru, five out every 100 suffer simultaneously; there that, if addressed, could prevalence.

Language: Английский

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Spatial Patterns and Risk Factors of Stunting Among Under-five Children in Kenya: A Multilevel and Spatial Analysis

International Journal of Data Science and Analysis, Journal Year: 2024, Volume and Issue: 10(3), P. 49 - 60

Published: Aug. 26, 2024

Stunting remains a significant public health burden in sub-Saharan Africa and has far reaching consequences. Identifying the drivers of stunting high regions is key to developing effective targeted intervention strategies. The objective study was identify risk factors explore spatial patterns across counties Kenya. Secondary data from 2022 Kenya Demographic Health Survey (KDHS) utilized. A total 13,016 children aged between 0 - 59 months were included analysis. multilevel logistic regression applied individual, household community level determinants stunting, models analyze dependency geographically weighted heterogeneity association childhood county determinants. In regression, Children urban residence exhibited significantly increased odds compared those rural areas (aOR = 1.25, 95% CI: 1.03 1.51, p 0.02). households categorized as poorer, middle, richer, richest all reduced poorest households. whose mothers had attained secondary education exhibit higher with no 1.32, 1.01 1.72, 0.04). Male show females 1.50, 1.33 1.70, &lt; 0.001). 12-23 highest 2.65, 2.23 3.14, 0.001) 6 months). Spatial analysis indicated that prevalence varies geographically, some exhibiting clustering. further revealed influence socioeconomic climatic on differed locations highlighting need for interventions.

Language: Английский

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Factors Determining Intention to Use Contraception Among Sexually Active Women in South Africa: A Multilevel Modelling Approach

Advances in Public Health, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Background: At least six in 10 women use contraception South Africa. Although there is considerable contraceptive use, a need to understand the factors associated with intention later among sexually active who are not using contraception. Women’s best predictor of because it usually translates into actual use. This study aimed investigate multilevel determining Methods: We used cross‐sectional secondary data from 2016 Africa Demographic and Health Survey (SADHS). sample 1684 were at time survey. The analysed descriptive statistics (random effect) logistic regression. Results: Overall, prevalence women’s was (40.7%, 95% CI: 37.3–44.2) found that age, marital status, population group, parity, ideal number children, desire delay childbearing, exposure family planning messages/advice, place residence, province Moreover, odds lower aged 40–49 years (AOR: 0.13, 0.07–0.23), had no messages/advice 0.68, 0.52–0.88), Free State 0.49, 0.26–0.95). Conclusion: results showed key predictors findings suggest for targeted education initiatives about contraception, particularly older women. There also involve community leaders local media sexual reproductive health campaigns.

Language: Английский

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INDIVIDUAL AND CONTEXTUAL FACTORS OF MALNUTRITION IN MOROCCAN CHILDREN UNDER FIVE

Bangladesh Journal of Multidisciplinary Scientific Research, Journal Year: 2024, Volume and Issue: unknown, P. 19 - 29

Published: July 7, 2024

This study investigates the multifaceted determinants of malnutrition among Moroccan children under five, focusing on individual, household, and community influences. Utilizing data from 2018 Population Family Health Survey, analyzes 5,983 aged 0–59 months. employs a multilevel modelling methodology to consider data's hierarchical structure. The results reveal that 18% suffer undernutrition, while 10% experience overnutrition. Factors influencing include child sex, age, birth weight, parental education, breastfeeding practices, household size, poverty. Male those with low weight are also at increased risk, ORs 1.49 1.93, respectively. Parental especially maternal protects against undernutrition (OR = 1.45). Breastfeeding practices impact nutrition, not breastfed having higher odds 2.03). Children poorer households more likely 2.40). Conversely, wealthier risk overnutrition 1.78). Community-level factors, such as poverty regional disparities, influence outcomes, notable differences in regions like Beni Mellal-Khenifra 6.15). living rural areas than their urban counterparts 1.87). findings this conclude addressing Morocco requires multi-level interventions, promotion, support for low-birth-weight infants, targeted strategies socio-economic geographic disparities.

Language: Английский

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