Double Fortified Salt Intervention Improved Iron Intake But Not Energy and Other Nutrient Intakes in Female Tea Plantation Workers From West Bengal, India
Bibliographic record
Abstract
BACKGROUND: Iron deficiency is a global public health concern and has implications on the health status of women in reproductive age. OBJECTIVE: We hypothesized that improving iron intake with double fortified salt would improve food intake, resulting in higher energy, nutrient intakes, and weight indicators of female tea plantation workers. METHODS: In this randomized double-masked study, the participants (n = 245) were assigned to receive salt double fortified with iron and iodine (DFS; treatment) or salt fortified with iodine (control) and followed for 7.5 to 9 months. Dietary intakes were measured at three time points, baseline, midpoint, and end line using (1) food frequency questionnaire, (2) 24-hour recall, and (3) weighed lunch intake. Anthropometric measures of height (cm), weight (kg), and mid-upper arm circumference (cm) were also recorded at three time points. Mixed-model repeated-measures approach was used to detect group differences across time. RESULTS: Double fortified salt improved dietary iron intake in the treatment group compared to the control group ( P < .001). No other dietary or anthropometric differences could be attributed to treatment. Significant effect of time was observed in the intake frequency of major food groups and calcium, vitamin A and C ( P <.001 for all), suggesting an equal effect of seasonality in both the groups. CONCLUSION: Addition of DFS in the diet improved dietary iron intake but did not affect the intake of energy, other nutrients, or nutritional status indicators. The improvement observed in the dietary iron intake demonstrates that fortification is an effective strategy to address iron deficiency in at-risk populations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".