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Record W6893673222 · doi:10.5281/zenodo.4451599

Relationship of ABO blood groups with Body mass index and hypertension in medical students.

2020· article· en· W6893673222 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsABO blood group systemBody mass indexOverweightObesityEpidemiologyDiabetes mellitusBlood type (non-human)Genotype

Abstract

fetched live from OpenAlex

The ABO blood group system was discovered by the Austrian scientist Karl Landsteiner in 1900.1 Its regulation is under the control of ABO gene expression.2 Genes for ABO antigens are located on chromosome number nine. The major blood groups of ABO system are A, AB, B and O. The A and B antigens are oligosaccharide, expressed on erythrocytes, platelets, vascular endothelium and tissue cells.3 Several epidemiological studies have reported that the distribution of different ABO blood groups vary markedly among the populations of different geographical areas reflecting racial differences.4Since the discovery of the ABO system, its significance regarding evolution, paternity transfusion and genetic study, as predictor of national suicide rate, are all well documented by past researches.1,5 The blood group systems are of interest to recent researchers of modern medicine due to its linkage with various diseases.6 Body mass index (BMI) is a measure of excess body weight. It is useful for assessing aspects of health in children and adults. Based on the WHO classification of BMI, an individual may be clinically considered obese, overweight, normal, or underweight. BMI pattern of distribution differs within and between different populations globally; changing trends in BMI of individual populations are known and linked to changes in socioeconomic status.7Obesity and overweight are known to be harmful to health8, and many studies have demonstrated the association of increased BMI and risk of development of certain diseases. Excess body weight is believed to accentuate the risk of numerous diseases and clinical disorders, such as coronary heart disease, strokes, cancers, type 2 diabetes mellitus, hypertension, asthma, liver disease, psychopathological conditions 9and allergic diseases.10 Body mass index is a modifiable risk factor can be assessed in time. Moreover blood groups being non modifiable risk factor, should be identified as which of them is more prone to developing obesity, so that young adults can be accordingly counselled for the life style modifications and thus be prevented from major diseases associated with increased BMI. In recent years, hypertension is a major health problem in the world. It has no early specific sign and symptoms, so most of the people have hypertension without knowing it.11 Hypertension is a condition of sustained increase in blood pressure.12According to JNC 8, systolic 90-119 mm of Hg and diastolic 60-79 mm of Hg is normal blood pressure. Hypertension is a condition where systolic pressure is >120 mm of Hg and diastolic is >80 mm of Hg. The association of hypertension and obesity with blood group B was reported by many past researchers.13 Although ABO blood group, hypertension and BMI have individually been appraised as risk factors for certain illnesses, few studies have been conducted to examine whether carrying a particular ABO blood antigen potentially predisposes one to higher body mass index or hypertension. Therefore we conducted a study in medical students of services institute of medical sciences to find out frequency of different blood groups in the study population. Also to find out which blood group is more prone to high BMI or hypertension so that the high risk population should be counselled about dietary and lifestyle modification at a younger ageeng

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.028
GPT teacher head0.246
Teacher spread0.219 · 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.

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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