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Record W4396940457 · doi:10.26751/jikk.v15i1.2195

REBUSAN DAUN SISRAK EFEKTIF DALAM MENURUNKAN KADAR KOLESTEROL PADA WANITA LANSIA

2024· article· id· W4396940457 on OpenAlexaff
Setiawati Setiawati, Fina Anggraini, Fepi Sundari

Bibliographic record

VenueJurnal Ilmu Keperawatan dan Kebidanan · 2024
Typearticle
Languageid
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPsychologyMedicine

Abstract

fetched live from OpenAlex

AbstrakWanita lansia umumnya mengalami beberapa masalah kesehatan seperti kolesterol yang tinggi. Kadar Kolerterol yang tinggi berdampak negative pada system kardiovaskular sehingga perlu ditangani. Salah satu Upayannya Adala Menggunakan Rebusan Daun Sirsak. Penelitian Ini Bertujuan Untuk Mengetahui Pengaruh Pemberian Air Daun Sirsak terhadap Penurunan kadar kolesterol pada wanita lansia di Desa Tanjung Jati Kabupaten Muara Enim.Penelitian ini menggunakan desain quasy experiment dengan pendekatan pre-post test control design. Subjek penelitian ini adalah wanita lansia yang mengalami hiperkolesterol ( 200mg/L) yang memenuhi kriteria inklusi dan eksklusi. Jumlah sampel adalah 30 responden. Pengambilan sampel menggunakan quota sampling. Penelitian ini dilaksanakan di Desa Tanjung Jati Wilayah Kerja Puskesmas Muara Enim pada 4 April - 24 November 2023. Pemeriksaan kolesterol menggunakan rapid test. Analisis menggunakan uji T independent Test.Hasil penelitian didapatkan penurunan kolesterol pada pada kelompok intervensi lebih tinggi dibandingkan kelompok control (-18,03±19,590;-2,60±2,527). Hasil uji statistic menunjukkan bahwa kelompok intervensi mampu menurunkan kadar kolesterol lebih baik dibanding kelompok control (p value 0,001). Hal ini berarti pemberian air daun sirsak efektif dalam menurunkan kolesterol pada wanita lansia di Desa Tanjung Jati Wilayah Kerja Puskesmas Muara EnimKata Kunci: Daun sirsak, kolesterol, lansia AbstractElderly women generally experience several health problems such as high cholesterol. High cholesterol levels have a negative impact on the cardiovascular system so they need to be treated. One of the efforts is to use decoction of soursop leaves. This research aims to determine the effect of giving soursop leaf water on reducing cholesterol levels in elderly women in Tanjung Jati Village, Muara Enim Regency.This research uses a quasi-experiment design with a pre-post test control design approach. The subjects of this study were elderly women who had hypercholesterolemia ( 200mg/L) who met the inclusion and exclusion criteria. The number of samples was 30 respondents. Sampling uses quota sampling. This research was carried out at PMB Semiyati and PMB Yuyun in the Muara Enim Community Health Center Work Area on April 4 - November 24 2023. Cholesterol examination used a rapid test. Analysis uses the independent T test.The results of the study showed that the reduction in cholesterol in the intervention group was higher than in the control group (-18.03 ± 19.590; -2.60 ± 2.527). The statistical test results showed that the intervention group was able to reduce cholesterol levels better than the control group (p value 0.001). This means that giving soursop leaf water is effective in lowering cholesterol in elderly women in Tanjung Jati Village, Muara Enim Health Center Working Area.Keywords: Soursop leaves, cholesterol, elderly

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.006

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 head0.017
GPT teacher head0.302
Teacher spread0.285 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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