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Record W4414818058 · doi:10.70070/gpe2rf15

The Association Between Sugar-Sweetened Beverage Consumption and Toddler's Diarrhea: A Systematic Review

2025· article· en· W4414818058 on OpenAlexaboutno aff
Aprilliana Risma Nugrahella

Bibliographic record

VenueThe International Journal of Medical Science and Health Research · 2025
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyRandomized controlled trialSystematic reviewDiarrheaFruit juiceConsumption (sociology)Cochrane LibraryConfounding

Abstract

fetched live from OpenAlex

Introduction: Toddler's diarrhea, or Chronic Nonspecific Diarrhea of Childhood (CNSD), is a common functional gastrointestinal disorder in children aged 6 months to 5 years. It is characterized by chronic, loose stools in otherwise healthy, thriving children. While dietary factors are implicated, particularly fruit juice, a comprehensive synthesis of the evidence across all types of sugar-sweetened beverages (SSBs) is lacking. This systematic review aims to evaluate the association between SSB consumption and toddler's diarrhea. Methods: A systematic search of PubMed, Google Scholar, Semanthic Scholar, Springer, Wiley Online Library was conducted for studies published in English. Randomized controlled trials (RCTs), controlled trials, cohort studies, case-control studies, and case series (N≥5) evaluating the association between SSB (including fruit juices, sodas, and other sweetened drinks) consumption and diarrheal outcomes in children aged 6 months to 5 years were included. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Methodological quality was assessed using the Cochrane Risk of Bias 2 (RoB 2) tool for RCTs and the Newcastle-Ottawa Scale (NOS) for observational studies. Findings were synthesized narratively. Results: Seventeen studies, comprising six RCTs/controlled trials, six observational studies, and five case series, met the inclusion criteria. The evidence consistently demonstrated a strong association between the consumption of SSBs and toddler's diarrhea. An RCT found that infants consuming apple juice or white grape juice had significantly higher fecal output (3.94 g/kg/h and 3.59 g/kg/h, respectively) and longer diarrhea duration (49.4 hours and 47.5 hours, respectively) compared to those consuming water (2.19 g/kg/h and 26.5 hours) (Valdovinos et al., 2005). Observational studies linked excessive fluid intake, particularly from juice, to increased stool frequency (4-10 stools/day) (Greene and Ghishan, 1983). Breath hydrogen tests confirmed carbohydrate malabsorption (fructose and sorbitol) as a key mechanism (Hyams and Leichtner, 1985; Smith and Lifshitz, 1995). Dietary intervention studies showed that restricting or eliminating SSBs was curative or led to significant symptom resolution in most cases (Hyams and Leichtner, 1985). Beverages with a high fructose-to-glucose ratio and sorbitol content, such as apple and pear juice, were most frequently implicated (Gormally et al., 1997). Discussion: The findings support a multifactorial pathophysiological model where the high osmotic load from poorly absorbed sugars (fructose, sorbitol) in SSBs exceeds the absorptive capacity of a toddler's immature gut. This effect is often compounded by rapid intestinal transit from low-fat diets and high overall fluid volume. The mechanistic principles derived from studies on fruit juice can be logically extended to other SSBs sweetened with high-fructose corn syrup. While some evidence supports dilute juice for rehydration in mild acute gastroenteritis due to palatability, its role is distinct from its causal contribution to chronic functional diarrhea (Freedman et al., 2016). Conclusion: There is strong evidence to support a causal association between the consumption of SSBs and the etiology of toddler's diarrhea. A detailed dietary history focusing on SSB intake is the cornerstone of diagnosis, and dietary modification is the primary, most effective management strategy.

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 imitation

Not 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.

metaresearch head score (Codex)0.065
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.772
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0650.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.189
GPT teacher head0.529
Teacher spread0.340 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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