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Record W2102113562 · doi:10.1093/tropej/fmu051

The Role of Maternal Diet and Iron-folic Acid Supplements in Influencing Birth Weight: Evidence from India's National Family Health Survey

2014· article· en· W2102113562 on OpenAlex
Nisha Malhotra, Ravi Prakash Upadhyay, Meenakshi Bhilwar, Na Ri Choy, Tim Green

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Tropical Pediatrics · 2014
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineFolic acidEnvironmental healthBirth weightPregnancyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

AIM: To examine the role of maternal diet in determining low birth weight (LBW) in Indian infants. METHODS: Data from the National Family Health Survey (2005-06) were used. Multivariate regression analysis was used to analyse the effect of maternal diet on infant birth weight. RESULTS: Infants whose mothers consumed milk and curd daily [odds ratio (OR), 1.17; 95% confidence interval (CI), 1.06-1.29]; fruits daily (OR, 1.20; 95% CI, 1.07-1.36) or weekly (OR, 1.13; 95% CI, 1.02-1.24) had higher odds of not having a low birth weight baby. The daily consumption of pulses and beans (OR, 1.18; 95% CI, 1.02-1.36) increased the odds while weekly consumption of fish (OR, 0.79; 95% CI, 0.70-0.89) decreased the odds of not having a LBW infant. Intake of iron-folic acid supplements during pregnancy increased birth weight by 6.46 g per month. CONCLUSION: Improved intake of micronutrient-rich foods can increase birth weight.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.307
Teacher spread0.287 · 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