Multilevel analysis of trends and predictors of concurrent wasting and stunting among children 6–59 months in Ethiopia from 2000 to 2019

Roba, Aklilu Abrham; Başdaş, Öznur

doi:10.3389/fnut.2023.1073200

Cited by 3 publications

(1 citation statement)

References 65 publications

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“…This variable acts independently of the confounding effect generated by variables such as wealth index, parental education level, ethnicity, and natural region. This finding aligns with prior studies demonstrating that enhanced access to safe and potable water at home reduces the incidence of diseases that can lead to anemia, stunting, or both concurrently [33,35].…”

Section: Plos Global Public Healthsupporting

confidence: 90%

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

Rivera,

Marín,

Romaní

2024

PLOS Glob Public Health

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

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Section: Plos Global Public Healthsupporting

confidence: 90%

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

Rivera,

Marín,

Romaní

2024

PLOS Glob Public Health

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

Motshegwa,

Tsawe,

Legotlo

et al. 2024

Advances in Public Health

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

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

Masit,

Malenje,

Imboga

2024

IJDSA

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

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Multilevel analysis of trends and predictors of concurrent wasting and stunting among children 6–59 months in Ethiopia from 2000 to 2019

Cited by 3 publications

References 65 publications

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

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

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

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

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