Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF)
Abstract Objective: The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF). Design: Data from the Bangladesh Demographic and Health Survey 2017-18 were analyzed. Malnutrition...
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Cambridge University Press
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| author | Farzana Akhter Bornee Mohammad Rocky Khan Chowdhury Badrun Naher Siddique Baki Billah Farjana Akter Md Nazmul Karim |
| author_facet | Farzana Akhter Bornee Mohammad Rocky Khan Chowdhury Badrun Naher Siddique Baki Billah Farjana Akter Md Nazmul Karim |
| author_sort | Farzana Akhter Bornee |
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Abstract
Objective:
The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF).
Design:
Data from the Bangladesh Demographic and Health Survey 2017-18 were analyzed. Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrition. Geospatial analysis was conducted using R programming.
Setting:
Bangladesh.
Participants:
Children under five years of age.
Results:
In Bangladesh, as indicated by the ECIAF, approximately 40.8% (95% Confidence interval (CI): 39.7, 41.9) of children under-five experience malnutrition where about 3.3% (95% CI: 2.9, 3.7) were overweight. Children of parents with no formal education (56.3%, 95% CI: 50.8, 61.8), underweight mothers (53.4%, 95% CI: 50.4, 56.3), belonging to the lowest socio-economic strata (50.6%, 95% CI: 48.3, 53.0), residing in rural areas (43.3%, 95% CI: 41.9, 44.6), and aged below three years (47.7%, 95% CI: 45.2, 50.2) demonstrated a greater age and sex adjusted prevalence of malnutrition. The Sylhet division (Eastern region) exhibited a higher prevalence of malnutrition (>55.0%). Mothers with no formal education (Adjusted odds ratio (AOR): 1.51, 95% CI: 1.08, 2.10), underweight mother (AOR: 1.54, 95% CI: 1.03, 1.83), poorest socio-economic status (AOR: 2.14, 95% CI: 1.64, 2.81), children age 24-35 months of age (AOR: 2.37, 95% CI: 1.97, 2.85), and fourth and above birth order children (AOR: 1.41, 95% CI: 1.16, 1.72) were identified key factors associated with childhood malnutrition while adjusting community and household level variations.
Conclusion:
In Bangladesh, two out of five children were malnourished and one in 35 children was overweight. Continuous monitoring of the ECIAF over time would facilitate tracking changes in the prevalence of different forms of malnutrition, helping to plan interventions and assess the effectiveness of interventions aimed at addressing both undernutrition and overweight.
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| format | Article |
| id | doaj-art-140314aa0aeb4f5bbe68b43bfc3df2ae |
| institution | Kabale University |
| issn | 1368-9800 1475-2727 |
| language | English |
| publisher | Cambridge University Press |
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| series | Public Health Nutrition |
| spelling | doaj-art-140314aa0aeb4f5bbe68b43bfc3df2ae2025-02-03T12:01:33ZengCambridge University PressPublic Health Nutrition1368-98001475-272713010.1017/S1368980025000138Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF)Farzana Akhter Bornee0Mohammad Rocky Khan Chowdhury1https://orcid.org/0000-0003-1934-1748Badrun Naher Siddique2Baki Billah3Farjana Akter4Md Nazmul Karim5Department of Pediatrics, Bangabandhu Sheikh Mujib Medical University, Dhaka, BangladeshDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.Department of Sociology and Social Work, The people’s University of Bangladesh, Dhaka, BangladeshDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia. Abstract Objective: The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF). Design: Data from the Bangladesh Demographic and Health Survey 2017-18 were analyzed. Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrition. Geospatial analysis was conducted using R programming. Setting: Bangladesh. Participants: Children under five years of age. Results: In Bangladesh, as indicated by the ECIAF, approximately 40.8% (95% Confidence interval (CI): 39.7, 41.9) of children under-five experience malnutrition where about 3.3% (95% CI: 2.9, 3.7) were overweight. Children of parents with no formal education (56.3%, 95% CI: 50.8, 61.8), underweight mothers (53.4%, 95% CI: 50.4, 56.3), belonging to the lowest socio-economic strata (50.6%, 95% CI: 48.3, 53.0), residing in rural areas (43.3%, 95% CI: 41.9, 44.6), and aged below three years (47.7%, 95% CI: 45.2, 50.2) demonstrated a greater age and sex adjusted prevalence of malnutrition. The Sylhet division (Eastern region) exhibited a higher prevalence of malnutrition (>55.0%). Mothers with no formal education (Adjusted odds ratio (AOR): 1.51, 95% CI: 1.08, 2.10), underweight mother (AOR: 1.54, 95% CI: 1.03, 1.83), poorest socio-economic status (AOR: 2.14, 95% CI: 1.64, 2.81), children age 24-35 months of age (AOR: 2.37, 95% CI: 1.97, 2.85), and fourth and above birth order children (AOR: 1.41, 95% CI: 1.16, 1.72) were identified key factors associated with childhood malnutrition while adjusting community and household level variations. Conclusion: In Bangladesh, two out of five children were malnourished and one in 35 children was overweight. Continuous monitoring of the ECIAF over time would facilitate tracking changes in the prevalence of different forms of malnutrition, helping to plan interventions and assess the effectiveness of interventions aimed at addressing both undernutrition and overweight. https://www.cambridge.org/core/product/identifier/S1368980025000138/type/journal_articleBangladeshchildrenmalnutritionundernutritionoverweightcomposite index |
| spellingShingle | Farzana Akhter Bornee Mohammad Rocky Khan Chowdhury Badrun Naher Siddique Baki Billah Farjana Akter Md Nazmul Karim Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) Public Health Nutrition Bangladesh children malnutrition undernutrition overweight composite index |
| title | Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) |
| title_full | Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) |
| title_fullStr | Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) |
| title_full_unstemmed | Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) |
| title_short | Exploring under-five child malnutrition in Bangladesh: Analysis using the Extended Composite Index of Anthropometric Failure (ECIEF) |
| title_sort | exploring under five child malnutrition in bangladesh analysis using the extended composite index of anthropometric failure ecief |
| topic | Bangladesh children malnutrition undernutrition overweight composite index |
| url | https://www.cambridge.org/core/product/identifier/S1368980025000138/type/journal_article |
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