The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Double Burden of Iron Deficiency in Infancy and Low Socioeconomic Status: A Longitudinal Analysis of Cognitive Test Scores to Age 19 Years
Open accessAbstract
OBJECTIVE: To assess change in cognitive functioning after iron deficiency in infancy, depending on socioeconomic status (SES; middle vs low). DESIGN: Longitudinal study. SETTING: Urban community in Costa Rica (infancy phase [July 26, 1983, through February 28, 1985] through 19-year follow-up [March 19, 2000, through November 4, 2002]). PARTICIPANTS: A total of 185 individuals enrolled at 12 to 23 months of age (no preterm or low-birth-weight infants or infants with acute or chronic health problems). The participants were assessed in infancy and at 5, 11 to 14, 15 to 18, and 19 years of age. A total of 97% were evaluated at 5 or 11 to 14 years and 78% at 15 to 18 or 19 years. Individuals who had chronic iron deficiency in infancy (iron deficiency with hemoglobin concentrations < or =10.0 g/dL or, with higher hemoglobin concentrations, not fully corrected within 3 months of iron therapy) were compared with those who had good iron status as infants (hemoglobin concentrations > or =12.0 g/dL and normal iron measures before and/or after therapy). MAIN OUTCOME MEASURES: Cognitive change over time (composite of standardized scores at each age). RESULTS: For middle-SES participants, scores averaged 101.2 in the group with chronic iron deficiency vs 109.3 in the group with good iron status in infancy and remained 8 to 9 points lower through 19 years (95% confidence interval [CI], -10.1 to -6.2). For low-SES participants, the gap widened from 10 points (93.1 vs 102.8; 95% CI for difference, -12.8 to -6.6) to 25 points (70.4 vs 95.3; 95% CI for difference, 20.6 to 29.4). CONCLUSIONS: The group with chronic iron deficiency in infancy did not catch up to the group with good iron status in cognitive scores over time. There was a widening gap for those in low-SES families. The results suggest the value of preventing iron deficiency in infancy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Matthew Effect in Science: The reward and communication systems of science are considered.
Merton, R. K. (1968) · Science · doi:10.1126/science.159.3810.56 · Cited by 6,720
Child development: risk factors for adverse outcomes in developing countries
Walker, S. P., Wachs, T. D., Meeks Gardner, J., Lozoff, B., Wasserman, G. A., Pollitt, E., & Carter, J. A. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60076-2 · Cited by 2,133
Self-citationA review of studies on the effect of iron deficiency on cognitive development in children
Grantham-McGregor, S., & Ani, C. (2001) · The Journal of Nutrition · doi:10.1093/jn/131.2.649s · Cited by 1,293
Long-term developmental outcome of infants with iron deficiency
Lozoff, B., Jimenez, E., & Wolf, A. W. (1991) · New England Journal of Medicine · doi:10.1056/nejm199109053251004 · Cited by 1,009
Self-citationSameroff, A. J., Seifer, R., Baldwin, A., & Baldwin, C. (1993) · Child Development · doi:10.2307/1131438 · Cited by 856
Cited by
Child development: risk factors for adverse outcomes in developing countries
Walker, S. P., Wachs, T. D., Meeks Gardner, J., Lozoff, B., Wasserman, G. A., Pollitt, E., & Carter, J. A. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60076-2 · Cited by 2,133
Self-citationNutrition and brain development in early life
Prado, E. L., & Dewey, K. G. (2014) · Nutrition Reviews · doi:10.1111/nure.12102 · Cited by 1,036
Long-lasting neural and behavioral effects of iron deficiency in infancy
Lozoff, B., Beard, J., Connor, J., Felt, B., Georgieff, M., & Schallert, T. (2006) · Nutrition Reviews · doi:10.1301/nr.2006.may.s34-s43 · Cited by 975
Self-citationGeorgieff, M. K. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.03.006 · Cited by 580
Daily oral iron supplementation during pregnancy
Peña-Rosas, J. P., De-Regil, L. M., Garcia-Casal, M. N., & Dowswell, T. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004736.pub5 · Cited by 565
Metadata
- Authors
- Lozoff, B., Jimenez, E., & Smith, J. B.
- Venue
- Archives of Pediatrics & Adolescent Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2006-11-01
- Volume
- 160
- Issue
- 11
- Pages
- 1108
- ISSN
- 1072-4710 (ISSN-L)
- OpenAlex
- W1990810255
- Cited by
- 395
- References
- 5
- FWCI
- 12.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.