Determinants of Malnutrition among Under-Five Children in Bangladesh: Evidence from Multiple Indicator Cluster Survey, 2019 Data

Islam, Md. Momin; Islam, Md. Tamzid; Noor, Farjana Akther

doi:10.26502/fjhs.061

Cited by 4 publications

(10 citation statements)

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“…This research reveals a declining likelihood of accessing essential healthcare services with increasing age among individuals with disabilities. This trend aligns with recent studies in South Asia, including Bangladesh, and Africa, highlighting similar disparities faced by younger children with disabilities 31,32 . This concerning link between age and healthcare access might stem from several interconnected factors.…”

Section: Discussionsupporting

confidence: 89%

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Healthcare service access challenges and determinants among persons with Disabilities in Bangladesh

Rahman,

Rana,

Rahman

et al. 2024

Preprint

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Background: Persons with disabilities in LMICs facing numerous challenges in accessing essential healthcare services. However, this understanding is lacking so far in LMICs and Bangladesh. This study aimed to explore the pattern and determinants of healthcare services access among persons with disability in Bangladesh. Methods: We analysed data from 4,293 persons with disabilities extracted from the 2021 National Survey on Persons with Disabilities. The outcome variable was healthcare service access within three months of the survey, categorized as either "yes" or "no" based on perceived needs. Several individual, household, and community-level factors were considered as explanatory variables. We utilized a multilevel mixed-effect logistic regression model to explore the association of the outcome variable with explanatory variables. The analysis included stratification by age groups: 0-17 years and 18-95 years. Results: One out of every four persons with disabilities in Bangladesh reported that they could not access healthcare services based on their needs within three months of the survey. The main reasons for not accessing services were healthcare costs (52.10%), followed by lack of family support (27.0%), and absence of healthcare facilities in their areas of residence (10.10%). Among those who did receive healthcare services, the majority reported accessing them from governmental hospitals (26.50%), followed by village practitioner (20.50%), and private healthcare centres (19.78%). There was a higher likelihood of accessing healthcare services among persons with disabilities residing in households with higher wealth quintiles and living in the Chattogram and Sylhet divisions. Unmarried or divorced/widowed/separated persons with disabilities reported lower likelihoods of accessing healthcare services. Conclusion: The findings of this study emphasize the need for policies and programs to ensure healthcare services for persons with disabilities in Bangladesh. This entails raising awareness about the importance of providing healthcare services for this demographic, as well as considering healthcare services as part of social safety net programs.

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Section: Discussionsupporting

confidence: 89%

“…Firstly, strong family bonds and a deeper sense of responsibility often lead parents to prioritize the healthcare needs of their younger children 31 . This attentiveness might wane with age, as expectations shift towards greater independence.…”

Section: Discussionmentioning

confidence: 99%

Healthcare service access challenges and determinants among persons with Disabilities in Bangladesh

Rahman,

Rana,

Rahman

et al. 2024

Preprint

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“…We found a higher likelihood of children with disabilities not being developmentally on track compared to their counterparts without disabilities. While a lack of literature restricts us from making a direct comparison, prior studies in Bangladesh and other LMICs have reported suboptimal ECDI outcomes among malnourished children and those facing socio-economic disadvantages, where disability prevalence is also noteworthy [7,19]. This nding gains signi cance amid the global focus on children with disabilities and their ECD issues, aligning with the broader commitment of the SDGs to leave no one behind, as well as the speci c target related to ECD [25,26].…”

Section: Discussionmentioning

confidence: 94%

“…The selection process occurred in four stages. Initially, we conducted a comprehensive search for related studies in various databases [3,7,8,10,11,13,18,19]. The variables identi ed in these studies were then summarized in the second stage, and their availability in the surveys we analyzed was subsequently veri ed in the third stage.…”

Section: Explanatory Variablementioning

confidence: 99%

“…This trend suggests the potential for very poor ECD outcomes within this demographic. However, precise global estimates, particularly in Asian countries, are currently unavailable with relevant studies focus on disability and child malnutrition and their health seeking behavior [16][17][18][19]. Therefore, our study aims to investigate the patterns of ECD among children with disabilities in Asian countries and assess the effects of disability on ECD.…”

Section: Introductionmentioning

confidence: 99%

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Effects of Disability on Early Childhood Development in 3 to 4-Year-Old Children in South Asian Countries: Evidence from Multiple Indicators Cluster Surveys

Khanam,

Alam,

Kabir

et al. 2023

Preprint

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Background The Sustainable Development Goals (SDGs) prioritize optimal early childhood development (ECD) for all children, emphasizing the principle of leaving no one behind. Country-level initiatives to address ECD, particularly for children with disabilities, are evident due to their heightened risk of not achieving developmental milestones. Despite this focus, the association between disability and ECD remains largely unknown in low- and middle-income countries. This study aims to investigate the impact of disability on ECD among 3 to 4-year-old children in South Asian countries. Methods Data from 56,841 children were analyzed, extracted from six rounds of Multiple Indicator Cluster Surveys conducted in Bangladesh, Nepal, and Pakistan between 2017 and 2020. The outcome variable considered was the early childhood development index (ECDI) and its domains (physical, learning, emotional, and social well-being). Disability status and types of disability served as the main explanatory variables. The association between explanatory and outcome variables was determined using a multilevel logistic regression model, adjusting for potential covariates. Results Approximately 44% of children in South Asian countries were not developmentally on track, with prevalence increasing to 58-76% among children with disabilities. Children with disabilities exhibited significantly higher odds of not being developmentally on track across all domains compared to those without disabilities. Country-specific variations were evident, with Nepal consistently showing lower odds than Bangladesh and Pakistan. Likelihoods of poor ECDI and its domains were also observed across types of disability. Conclusion The findings emphasize that children with disabilities face challenges in achieving developmental milestones, indicating a long-term burden. This poses a risk to the achievement of SDGs related to inclusivity and early childhood development. Implementing inclusive education policies, especially in rural areas, and creating supportive environments for individuals with disabilities are crucial for addressing these challenges.

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Identifying Individual and Household Level Predictors of Undernutrition Among 6–59 Months Children in Bangladesh: A Multivariate Approach

Halima,

Nowar,

Islam

et al. 2024

Public Health Challenges

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IntroductionGlobally malnutrition is considered one of the greatest threats to public health, particularly in low‐ and middle‐income countries. The present study examined the extent of undernutrition and the associated determinants among children aged 6–59 months in Bangladesh using data from the Nutrition Survey of Bangladesh (NSB), 2017–18.MethodsThe sampling frame of NSB 2017–18 was specified by a 30 (locations) × 30 (households) cluster approach where 20 locations were from rural areas and the other 10 were from urban areas. Out of the sampled households, 566 children aged between 6 and 59 months were included in the analysis. Determinants of three anthropometric measures, weight‐for‐age (stunting), weight‐for‐height (wasting), and weight‐for‐age (underweight), were analyzed using a multiple logistic regression model.ResultThe prevalence of stunting, underweight, and wasting of children was 34.5%, 40.6%, and 20.1%, respectively. Although the child's age, family size, cleanliness of the residential area, and food insecurity were significant determinants of malnutrition, inadequate and low‐quality protein consumption strongly predicted the development of underweight and stunting in infants and children. The odds of being stunted were 2 times (adjusted odds ratio [AOR]: 2.02, 95% confidence interval [CI]: 1.17–3.46; p = 0.011) and underweight was almost 2.5 times (AOR: 2.41; 95% CI: 1.27–4.56; p < 0.01) higher, respectively, among children who consumed inadequate amounts of protein.ConclusionBecause the percentage of children from wealthy families was relatively low in the present study, cleanliness of residential areas, food insecurity, and inadequate protein intake are likely to be key drivers of malnutrition in Bangladesh, which might be significantly reduced with better coverage of preventive nutrition programs.

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Determinants of Malnutrition among Under-Five Children in Bangladesh: Evidence from Multiple Indicator Cluster Survey, 2019 Data

Cited by 4 publications

References 0 publications

Healthcare service access challenges and determinants among persons with Disabilities in Bangladesh

Healthcare service access challenges and determinants among persons with Disabilities in Bangladesh

Effects of Disability on Early Childhood Development in 3 to 4-Year-Old Children in South Asian Countries: Evidence from Multiple Indicators Cluster Surveys

Identifying Individual and Household Level Predictors of Undernutrition Among 6–59 Months Children in Bangladesh: A Multivariate Approach

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