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Record W1686698660

HEMODYNAMIC PHYSIOLOGICAL RESPONSE TO ACUTE EXPOSURE TO AIR POLLUTION IN YOUNG ADULTS ACCORDING TO THE FITNESS LEVEL

2010· article· en· W1686698660 on OpenAlexaboutno aff
Mehdi Kargarfard, Reza Rouzbahani, Ayeh Rizvandi, Mehdi Dahghani, Parinaz Poursafa

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHemodynamicsAcute exposureEnvironmental scienceMedicineCardiologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: This study aimed to determine the impact of acute exposure to air pollution on the hemodynamic parameters and physical fitness components in two groups of healthy men differing in fitness (trained and untrained) and the correlation of parameters between the areas. METHODS: Thirty four healthy college male students of the University of Isfahan (18 low-fitness, mean age 20.44 ± 2.43 years and 16 high-fitness, age 22.19 ± 2.07 years) participated in this study. First, two environments including high and moderate concentrations of ambient air pollution were determined on the basis of the environmental protection agency. Then, all participants performed a Canadian Aerobic Fitness Test (CAFT) to determine maximal oxygen uptake (VO2max) in sport sciences laboratory. Each participant also performed 2 sub-maximal exercise tests in two environments including polluted. The tests consisted of three phases: phase A, in non-polluted air area (laboratory); phase B, much polluted air area; and phase C, moderate polluted air area. All 3 exercise tests were completed within a 1-week period interval between phases. Maximal oxygen uptake (VO2max), maximal heart rate (MHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), and other anthropometric values were measured at end sub-maximal exercise test. Data were analyzed using one-way analysis of variance (ANOVA) with repeated measures and correlation. RESULTS: At baseline, there were no significant difference between the groups in age, height, weight, diastolic blood pressure (DBP); but body mass index (BMI), body fat, resting heart rate (RHR) and systolic blood pressure (SBP) was significantly lower in subjects with high fitness (F 1,32 = 10.96, P < 0.002, F 1,32 = 13.91, P < 0.001, F 1,32 = 21.29, P < 0.001, F 1,32 = 13.72, P < 0.001, respectively). Although, baseline MHR and VO2max were higher in subjects with high-fitness than in students with low-fitness (F 1,32 = 10.07, P < 0.01, F 1,32 = 74.23, P < 0.001, respectively). For both low-fitness and high-fitness subjects the mean physiological and hemodynamic measurements at baseline and after exercise were significantly associated with concentrations of ambient air pollution category (P < 0.05). CONCLUSION: Although statistical significance was found for a number of hemodynamic parameters and physical fitness components in trained and untrained subjects, we speculate that the very small differences in the physiological responses to exercising in urban regions, which are often in contact with air pollution, are of little practical significance and would not affect the performance. Keywords: Air pollution, VO2max, Systolic and Diastolic blood pressure.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.214
GPT teacher head0.525
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations5
Published2010
Admission routes1
Has abstractyes

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