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Revisiting Dietary Iron Requirement and Deficiency in Indian Women: Implications for Food Iron Fortification and Supplementation

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This “Issues and Opinions” analysis derives an Estimated Average Requirement for iron in Indian women of reproductive age by a factorial method and applies it to state-level intake distributions. It then models how food fortification of one staple and the national supplementation program would shift both the risk of inadequate intake and the risk of exceeding the tolerable upper level. It is the only paper behind the iron page that quantifies the excess-intake side of iron policy.

Key numbers

  • Derived Estimated Average Requirement: 14.4 mg/day, rounded to 15 mg/day; RDA 30 mg/day (95th percentile) or 35 mg/day (97.5th percentile), using 8% dietary iron absorption (p. 368).
  • Existing Indian Council of Medical Research recommendation used for comparison: 21 mg/day (Abstract; Table 2 footnote).
  • Tolerable upper level used: 45 mg/day for women of reproductive age (p. 367; Table 2 footnotes).
  • Basal iron loss 14 µg/kg body weight per day (CV 29.2%), giving 0.77 ± 0.25 mg/day at a 55 kg reference weight (p. 367).
  • Weighted mean absorption of iron from cereal-based Indian meals 8.7% (p. 368); individual stable-isotope studies ranged from 2.7 ± 1.7% (rice meal, normal iron status, n = 15) to 17.5 ± 11.4% (rice meal, anemic, n = 20) (Table 1).
  • Median state risk of inadequate intake 65% (IQR 48% to 78%; range 25% to 93%) with the new requirement; 20% after 10 mg/day fortification; 3% median (1% to 5%) after fortification plus 14 mg/day supplementation (Abstract; p. 369; Table 2).
  • Risk of exceeding 45 mg/day: 0% to 1% with 10 mg/day fortification; 0% to 54% across states with fortification plus supplementation (24 mg/day added), highest in Rajasthan at 54% (Table 2).
  • Survey context reported by the authors: about 70% of iron consumed comes from cereals and about 1% from heme sources (p. 368, citing national survey data).

Methods (brief)

Factorial modeling: basal losses (from adult male data in other countries) were convolved with a lognormal menstrual-loss distribution pooled from 10 studies by Monte Carlo simulation, then divided by dietary absorption. State intake distributions came from household food purchases (223 items, 30-day recall) converted with Indian food composition tables. Validation compared the Uttar Pradesh estimate (42%) with a biomarker survey prevalence of iron deficiency (51%).

Evidence fitness

Supports statements about iron requirements, population-level intake adequacy and the modeled risk of exceeding the upper level when fortification and supplementation are layered. It does not measure iron in foods, does not measure body iron, and its excess-risk figures depend on the 45 mg/day value and on assumed supplement delivery (100 mg elemental iron weekly).

Limitations

Basal loss values are borrowed from men outside India; only one menstrual-loss study was from Indian women; helminth-related losses were not modeled; household purchase data are per capita and not individual intake. The paper is an opinion-format analysis rather than a primary intake survey.

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