Assessing Contributory Factors of Diarrhea Among Under‐Five Children in Bangladesh From 2006 to 2019 and Recent Increases: A Cross‐Sectional Study
Bibliographic record
Abstract
Background and Aims: One-third of all child deaths in this country are caused by diarrhea. The burden of the disease appears to be increasing in recent years in Bangladesh. This study aimed to analyze the prevalence of diarrhea and identify the factors contributing to diarrheal diseases among children aged 0-5 years in Bangladesh from 2006 to 2019, to understand the recent increase in this serious health issue. Methods: In this study, using the data from the Multiple Indicator Cluster Survey (MICS), a total of 31,566, 23,402, and 24,686 children under five were included from, 2006, 2012, and 2019, respectively. Logistic regressions were applied to analyze the changes in factors influencing childhood diarrhea. Results: The results revealed a decline in diarrhea prevalence from MICS 2006 (7.1%) to MICS 2012 (3.9%). However, there was a sharp increase to 6.9% in MICS 2019. Notably, children aged 12-23 months exhibited consistently 2.22 times (adjusted odds ratio (AOR) = 2.22, 95% confidence interval (CI: 1.86-2.65), 5.24 times (CI: 2.51-10.95) and 3.36 times (CI: 2.67-4.22) higher likelihood of experiencing diarrhea compared to the older age group (48-59 months) in MICS 2006, 2012 and 2019, respectively. The mother's educational background also played a role, in MICS 2006, 2012, and 2019, children whose mothers had no or incomplete primary education had 1.48 (CI: 1.18-1.86), 1.07 (CI: 0.76-1.50), and 1.34 (CI: 1.06-1.69) times higher chances of diarrhea compared to children of mothers with secondary complete or higher education. Conclusion: Underweight status, geographical division, household wealth status, and unimproved and shared toilet facilities emerged as contributing factors of diarrhea among children aged 0-5 years. The findings underscore the importance of child nutrition, basic hygiene practices, and special care during the rainy season to mitigate the under-five mortality rate associated with diarrhea.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".