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Record W1530824752

Faktor-faktor Yang Berhubungan Dengan Kejadian Gastritis Di Wilayah Kerja Puskesmas Bahu Kota Manado

2014· article· id· W1530824752 on OpenAlexaboutno aff
Julia Angkow, Fredna Robot, Franly Onibala

Bibliographic record

VenueJurnal Keperawatan UNSRAT · 2014
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIncidence (geometry)GastritisChronic gastritisGastroenterologyStatistical analysisInternal medicineStatistical significanceStomach
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Gastritis is an inflammatory process in the mucosa and sub mucosa of the stomach that may occur in acute or chronic. Approximately 1.8 to 2.1 millions of people worldwide suffer from gastritis each year. Among the highest in Canada 35% and the lowest 22% in the UK. Purpose, to determine the Factors associated with the incidence of gastritis in Puskesmas Bahu Manado. This study methods was a descriptive analytical using cross-sectional. The study was conducted starting in june-july 2014 with sample of 77. Results of statistical tests on the regularity of eating with the incidence of gastritis obtained value ρ = 0.004 <α = 0.05. Results of statistical tests on the incidence of smoking with gastritis ρ = 0.013 obtained value <α = 0.05. Results of statistical tests on the use of OAINS with incidence of gastritis obtained value ρ = 0.013 <α = 0.05. Results of statistical tests on the incidence of alcohol with incidence of gastritis obtained value ρ = 0.043 <α = 0.05. Results of statistical tests on coffee with incidence of gastritis obtained value ρ = 0.035 <α = 0.05. In conclusion, the factors that have a relationship with the incidence of gastritis are diet, smoking, alcohol and coffee while the factors that do not have a relationship with the incidence of gastritis is the use of OAINS. Keywords: Gastritis, diet, smoking, use of OAINS, alcohol, coffee, Abstrak: Gastritis adalah proses inflamasi pada mukosa dan submukosa lambung dapat terjadi secara akut atau kronis. sekitar 1,8-2,1 juta jumlah penduduk dunia menderita gastritis tiap tahun. Diantaranya yang tertinggi di Kanada 35% dan terendah di Inggris 22%. Tujuan Untuk mengetahui faktor-faktor yang berhubungan dengan kejadian gastritis di wilayah kerja Puskesmas Bahu Kota Manado. Metode Penelitian ini adalah deskriptif analitik dengan menggunakan cross sectional study. Penelitian dilakukan mulai bulan juni-juli 2014. Dengan jumlah sampel 77. Hasil uji statistic tentang keteraturan makan dengan kejadian gastritis diperoleh nilai ρ = 0,004 < α = 0,05. Hasil uji statistic tentang merokok dengan kejadian gastritis diperoleh nilai ρ = 0,013 < α = 0,05. Hasil uji statistic tentang penggunaan OAINS dengan kejadian gastritis memperoleh nilai ρ = 0,013 < α = 0,05. Hasil uji statistic tentang alkohol dengan kejadian gastritis memperoleh nilai ρ = 0,043 < α = 0,05. Hasil uji statistic tentang kopi dengan kejadian gastritis diperoleh nilai ρ = 0,035 < α = 0,05. Kesimpulan dari penelitian faktorfaktor yang memiliki hubungan dengan kejadian gastritis adalah pola makan, merokok, alkohol dan kopi sedangkan faktor yang tidak memiliki hubungan dengan kejadian gastritis adalah penggunaan OAINS. Kata kunci: Gastritis, Pola Makan, Merokok, Penggunaan OAINS, Alkohol, Kopi

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 score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.001

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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

Citations12
Published2014
Admission routes1
Has abstractyes

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