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1.
Matern Child Nutr ; 20(3): e13642, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38563355

RESUMO

Malnutrition and disability are major global public health problems. Poor diets, inadequate access to nutrition/health services (NaHS), and poor water, sanitation and hygiene (WASH) all increase the risk of malnutrition and infection. This leads to poor health outcomes, including disability. To better understand the relationship between these factors, we explored access to NaHS and household WASH and dietary adequacy among households with and without children with disabilities in Uganda. We used cross-sectional secondary data from 2021. Adjusted logistic regression was used to explore associations between disabilities, access to NaHS, WASH and dietary adequacy. Of the 6924 households, 4019 (57.9%) reported having access to necessary NaHS, with deworming and vaccination reported as both the most important and most difficult to access services. Access to services was lower for households with children with disabilities compared to those without, after adjusting for likely confounding factors (Odds ratio = 0.70; 95% CI 0.55-0.89, p = 0.003). There is evidence of an interaction between disability and WASH adequacy, with improved WASH adequacy associated with improved access to services, including for children with disabilities (interaction odds ratio = 1.12, 95% CI: 1.02-1.22, p = 0.012). The proportion of malnourished children was higher among households with children with disabilities than households without it (6.3% vs. 2.4% p < 0.001). There are concerning gaps in access to NaHS services in Uganda, with households with children with disabilities reporting worse access, particularly for those with low WASH adequacy. Improved and inclusive access to NaHS and WASH needs to be urgently prioritized, especially for children with disabilities.


Assuntos
Crianças com Deficiência , Acessibilidade aos Serviços de Saúde , Higiene , Saneamento , Humanos , Uganda , Estudos Transversais , Pré-Escolar , Feminino , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Saneamento/estatística & dados numéricos , Masculino , Criança , Crianças com Deficiência/estatística & dados numéricos , Estado Nutricional , Lactente , Características da Família , Adolescente , Análise de Dados Secundários
2.
Nutr Health ; : 2601060231181607, 2023 Jun 20.
Artigo em Inglês | MEDLINE | ID: mdl-37338528

RESUMO

Background: Anthropometric measurements, including mid-upper arm circumference (MUAC), are used for monitoring and evaluating children's nutritional status. Evidence is limited on optimal nutritional assessment for children with disabilities, who are at high risk for malnutrition. Aim: This study describes MUAC use among children with disabilities. Methods: Four databases (Embase, Global Health, Medline, and CINHAL) were searched from January 1990 through September 2021 using a predefined search strategy. Of the 305 publications screened, 32 papers were included. Data included children 6 months to 18 years old with disabilities. Data including general study characteristics, methods for MUAC measurement, terminology, and measurement references were extracted into Excel. Due to heterogeneity of the data, a narrative synthesis was used. Results: Studies from 24 countries indicate that MUAC is being used as part of nutritional assessment, but MUAC measurement methods, references, and cutoffs were inconsistent. Sixteen (50%) reported MUAC as a mean ± standard deviation (SD), 11 (34%) reported ranges or percentiles, 6 (19%) reported z-scores, and 4 (13%) used other methods. Fourteen (45%) studies included both MUAC and weight-for-height but nonstandard reporting limited comparability of the indicators for identifying those at risk of malnutrition. Conclusion: Although its speed, simplicity, and ease of use afford MUAC great potential for assessing children with disabilities, more research is needed to understand its appropriateness, and how it performs at identifying nutritionally high-risk children in comparison to other measures. Without validated inclusive measures to identify malnutrition and monitor growth and health, millions of children could have severe consequences for their development.

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