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Record W4297124036 · doi:10.54004/jikis.v9i2.43

HUBUNGAN TINGKAT PENGETAHUAN DAN POLA KONSUMSI NATRIUM DENGAN TEKANAN DARAH PADA PENDERITA HIPERTENSI DI WILAYAH KERJA PUSKESMAS CEMPAKA

2021· article· id· W4297124036 on OpenAlexaff
Diana Hardiyanti, Nanda Yuliana

Bibliographic record

VenueJurnal Ilmu Kesehatan Insan Sehat · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Pendahuluan: Pola konsumsi natrium dan tingkat pengetahuan adalah salah satu faktor yang mempengaruhi tejadinya peningkatan tekanan darah. Di Puskesmas Cempaka hipertensi menduduki peringkat pertama penyakit terbanyak. Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan tingkat pengetahuan dan pola konsumsi natrium dengan tekanan darah pada penderita hipertensidi wilayah kerja Puskesmas Cempaka tahun 2021. Penelitian ini menggunakan Metode: analitik korelasional dengan pendekatan cross sectional, Jumlah populasi 764 orang dan sampel 88 orang. Teknik pengambilan purposive sampling. Variabel bebas (tingkat pengetahuan dan pola konsumsi natrium) dan variabel terikat (tekanan darah pada penderita hipertensi). Instrumen berupa angket. Uji yang digunakan Rank Spearman. Hasil: Mayoritas tekanan darah menunjukkan hipertensi stage 2 (TD 160-180 mmHg) sebanyak 65,9%, berpengetahuan kurang sebanyak 54,5% dan pola konsumsi natrium kurang baik sebanyak 67,0%. Kesimpulan: ada hubungan yang bermakna antara pengetahuan dan pola konsumsi natrium dengan tekanan darah pada penderita hipertensi. Saran: Direkomendasikan kepada tenaga kesehatan dan puskesmas dapat memberikan informasi sebagai pengetahuan bagi penderita hipertensi tentang hipertensi dan pola konsumsi natrium guna meminimalisir dan menghindari terjadinya komplikasi.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.292
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2021
Admission routes1
Has abstractyes

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