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Record W2961485545 · doi:10.35790/ecl.5.2.2017.18571

Hubungan Kadar Hematokrit dan Tekanan Darah pada Subjek Laki-laki Perokok Usia Dewasa Muda

2017· article· en· W2961485545 on OpenAlexaff
Roi O. Isa, Linda W. A. Rotty, Efata B. I. Polii

Bibliographic record

Venuee-CliniC · 2017
Typearticle
Languageen
FieldMedicine
TopicApelin-related biomedical research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHematocritMedicineBlood pressureInternal medicineGynecologyCardiology

Abstract

fetched live from OpenAlex

Abstract: Smoking is a major health problem in Indonesia especially in adult males. The age of a person to initially start smoking becomes younger, therefore, the prevalence of smoking in Indonesia has increased in 2013 (36.3%) compared to that in 2007 (34.2%). Smoking is a risk factor for a number of chronic diseases such as cancer, lung diseases, and cardiovascular diseases. Several previous studies had suggested a relationship between hematocrit levels, blood viscosity and blood pressure. This study was aimed to determine the correlation between hematocrit level and blood pressure in young adult male smokers as subjects. This was an analytical study with a cross-sectional design. Blood pressure and hematocrit level were performed on a total of 40 male students of the Faculty of Engineering Sam Ratulangi University Manado. Data were analyzed statistically by using the Spearman correlation test. The correlation test on the relationship between blood hematocrit level and systolic blood pressure showed an r value of 0.236 and a P value of 0.143 while the correlation test on the relationship between blood hematocrit level and diastolic blood pressure resulted in an r value of 0.352 and a P value of 0.026. Conclusion: There was a positive correlation between hematocrit level and diastolic blood pressure in young adult smokers but not for systolic blood pressure.Keywords: smokers, hematocrit, blood pressure Abstrak: Merokok menjadi masalah kesehatan utama di Indonesia khususnya pada kaum lelaki dewasa. Usia seseorang mulai merokok semakin muda dan prevalensi merokok di Indonesia mengalami peningkatan pada tahun 2013 (36,3%) dibandingkan tahun 2007 (34,2%). Merokok sebagai faktor risiko sejumlah penyakit kronis seperti kanker, penyakit paru-paru, dan penyakit kardiovaskuler. Beberapa penelitian sebelumnya menyatakan adanya hubungan antara kadar hematokrit, viskositas darah, dan tekanan darah. Penelitian ini bertujuan untuk mengetahui hubungan kadar hematokrit dan tekanan darah pada subjek laki-laki perokok usia dewasa muda. Jenis penelitian ialah analitik dengan desain potong lintang. Subyek penelitian ialah 40 orang mahasiswa laki-laki Fakultas Teknik Universitas Sam Ratulangi Manado. Pemeriksaan tekanan darah dan hematokrit darah dilakukan terhadap seluruh subyek. Analisis statistik menggunakan uji korelasi Spearman. Hasil uji korelasi pada hubungan kadar hematokrit dengan tekanan darah sistolik (TDS) mendapatkan nilai r=0,236 dan nilai P =0,143 sedangkan pada hubungan kadar hematokrit dengan tekanan darah diastolik (TDD) didapatkan nilai r=0,352 dan nilai P=0,026. Simpulan: Terdapat hubungan positif antara kadar hematokrit dan tekanan darah diastolik pada perokok laki-laki usia dewasa muda tetapi tidak berlaku untuk tekanan darah sistolik.Kata kunci: perokok, hematokrit, tekanan darah

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 score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.061
GPT teacher head0.393
Teacher spread0.332 · 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".

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Citations1
Published2017
Admission routes1
Has abstractyes

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