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Record W3201978717 · doi:10.30604/well.172322021

Hubungan Pengetahuan Dan Tingkat Stres Dengan Perilaku Pencegahan Gastritis Pada Mahasiswa Prodi S1 Keperawatan Reguler Di Universitas Aisyah Pringsewu Tahun 2021

2021· article· id· W3201978717 on OpenAlexaboutno aff
Dzikri Muhammad Dzikri, Tri Adi Nugroho, S.C. Sutrisno, Dian Arif Wahyudi

Bibliographic record

VenueWellness And Healthy Magazine · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsGastritisMedicinePopulationSampling (signal processing)Simple random samplePositive correlationInternal medicineGastroenterologyNursingEnvironmental healthStomach

Abstract

fetched live from OpenAlex

According to the World Health Organization (WHO), the genesis of gastritis in the world is around 1.8-2.1 million of the population each year, in the UK (22%), China (31%), Japan (14.5), Canada (35%). %), and France (29.5%). While in Southeast Asia around 586,635 of the population each year. The percentage of gastritis in Indonesia is quite high with a prevalence of 274,396 cases. Based on a preliminary study conducted at Aisyah University of Pringsewu with interviews with 10 students, 70% suffer signs of gastritis. The research objective was to determine the correlation between knowledge and stress levels with gastritis prevention behavior on nursing students of regular at Aisyah University of Pringsewu 2021. The research design used was a cross sectional approach. The  sampling technique used Simple Random Sampling. The sample were 86 respondents used the Gamma statistical test. The results of the correlation of knowledge with gastritis prevention behavior on students at Aisyah University of Pringsewu can be seen that 78.3% of students with good knowledge are 23 people (26.7%), with p value = 0.409. The correlation between student stress levels and gastritis prevention behavior in students at Aisyah University of Pringsewu can be seen by 5 people (83.3%), with p value = 0.018. So it can be concluded that there is no correlation between knowledge and behavior to prevent gastritis and there is a correlation between stress levels and gastritis prevention behavior. It is expected that the community, especially students, can be better to regulate their diet and avoid excessive thoughts. Abstrak: Menurut World Health Organization (WHO), insiden gastritis di dunia sekitar 1,8-2,1 juta dari jumlah penduduk setiap tahunnya, di Inggris (22%), China (31%), Jepang (14,5), Kanada (35%), dan Perancis (29,5%). Sedangkan di Asia tenggara sekitar 586.635 dari jumlah penduduk setiap tahunnya. Presentase dari angka kejadian gastritis di indonesia cukup tinggi dengan prevalensi 274,396 kasus. Berdasarkan studi pendahuluan yang dilakukan di Universitas Aisyah Pringsewu dengan wawancara pada 10 mahasiswa didapatkan 70% mengalami tanda-tanda gastritis. Tujuan penelitian untuk mengetahui hubungan pengetahuan dan tingkat stress dengan perilaku pencegahan gastritis pada mahasiswa prodi keperawatan regular di Universitas Aisyah Pringsewu tahun 2021. Desain penelitian yang digunakan dalam penelitian ini adalah pendekatan cross sectional. Dengan teknik pengambilan sampel menggunakan Simple Random Sampling.  Sejumlah sampel 86 responden dengan menggunakan uji statistik Gamma . Hasil hubungan pengetahuan dengan perilaku pencegahan gastritis pada mahasiswa di Universitas Aisyah Pringsewu dapat diketahui bahwa 78,3% mahasiswa dengan pengetahuan baik yaitu sebesar 23 orang (26,7%), dengan p value =0,409. Hubungan tingkat stress mahasiswa terhadap perilaku pencegahan gastritis pada mahasiswa di Universitas Aisyah Pringsewu dapat diketahui sebesar 5 orang (83,3%), dengan p value =0,018. Sehingga dapat di simpulkan tidak ada hubungan pengetahuan dengan perilaku pencegehan gastritis dan ada hubungan tingkat stress dengan perilaku pencegahan gastritis. Diharapkan pada masyarakat khususnya bagi mahasiswa dapat lebih mengatur pola makan dan hindari beban fikiran yang berlebihan.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.265
Teacher spread0.248 · 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 designNot applicable
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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Citations3
Published2021
Admission routes1
Has abstractyes

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