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Record W4411505645 · doi:10.63682/fhi1586

Study To Compare And Correlate The Effect On Iron Deficiency Anaemia On Cognition In Young Adult Females

2024· article· en· W4411505645 on OpenAlexaboutno aff
Umme Kulsoom Sheema, Alka Rawekar, Satish Patil, Shivanand Shivanand

Bibliographic record

VenueFrontiers in Health Informatics · 2024
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsIron deficiencyMedicineCognitionFerritinAnemiaPopulationHemoglobinPediatricsDemographyPhysiologyInternal medicineEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

Background: The prevalence of iron deficiency anaemia (IDA) in young Indian women especially the urban population is on a rise since a past few years due to various factors including inclination towards processed food. Anaemia, particularly iron deficiency anaemia (IDA), is a prevalent public health issue in India, affecting a significant portion of the population, including children, adolescents and women. Recent data from 2024 indicates that anaemia continues to be a challenge, with substantial implications for cognitive function among adolescents. Mild cognitive impairment (MCI) has been observed in individuals with anaemia, suggesting a potential link between iron status and cognitive performance. Methods: The study was an analytical correlational study conducted at the Central Neuro-Physiology Lab, Acharya Vinoba Bhave Rural Hospital (AVBRH) in Wardha, focusing on adult females of reproductive age, ranging between 18 and 30 years old. The total sample size for this study was determined to be 260, with 130 women diagnosed with Iron Deficiency Anaemia (IDA) and 130 non-anaemic healthy women. Purposive sampling techniques were utilized for participant selection. Hematological evaluation was conducted through Complete Blood Count and serum ferritin analysis. Cognitive assessment was performed using the Montreal Cognitive Assessment (MoCA). The Student’s t-test and Pearson’s correlation were used to examine the association between haemoglobin, serum ferritin levels and cognition. Results: The findings suggest that there was no statistically significant difference in age, weight, height, and BMI between females with iron deficiency anaemia and healthy females (p>0.05). However, hemoglobin and serum ferritin concentrations were notably lower in anaemic females compared to healthy females (p < 0.001). Additionally, the total MoCA score was significantly lower in anaemic females compared to healthy females (p<0.001). MoCA score showed significant positive correlation with haemoglobin (r 0.667, p <0.001) and ferritin levels (r 0.652, p < 0.001) indicating that cognitive function diminishes with severity of anaemia. Specifically, individuals with moderate anaemia exhibited the lowest MoCA score of 22.94±2.479, while those with no anaemia displayed the highest MoCA score of 26.48±2.175. This disparity was found to be statistically significant (p<0.001). The linear regression model indicated that a unit decrease in ferritin decreases the MoCA score by 0.145 (95%CI; 0.124-0.166), and a unit decrease in the hemoglobin decreases the MoCA score by 1.182 (95%CI; 1.020-1.344), which was statistically significant. Conclusions: In this study, it was found that anaemic women had significantly lower cognitive scores compared to the healthy non-anaemic group. High levels of hemoglobin and ferritin showed a moderate positive correlation with higher cognitive performance. These findings suggest that cognitive function in young females is moderately influenced by IDA, highlighting that IDA is one of the potential risk factor for cognitive impairment.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.058
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.309
Teacher spread0.293 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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