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Record W3093042452 · doi:10.36760/tens.v1i1.108

HUBUNGAN ASUPAN PROTEIN, ZAT BESI DAN POLA MAKAN TERHADAP KEJADIAN ANEMIA PADA IBU HAMIL TRIMESTER III DI WILAYAH KERJA PUSKESMAS CILACAP UTARA 2

2020· article· id· W3093042452 on OpenAlexaff
Dewi Prasetyani, Evy Apriani, Rizkia Halimatusyadiyah

Bibliographic record

VenueTens Trends of Nursing Science · 2020
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMedicineGynecologyAnemiaObstetricsInternal medicine

Abstract

fetched live from OpenAlex


 
 
 
 Anemia pada kehamilan dapat menyebabkan gangguan kelangsungan kehamilan, gangguan proses persalinan, gangguan pada masa nifas, dan gangguan pada janin. Beberapa penyebab anemia pada ibu hamil adalah asupan protein, zat besi dan pola makan yang kurang baik. Tujuan penelitian ini adalah untuk mengetahui hubungan antara asupan protein,zat besi dan pola makan dengan kejadian anemia pada ibu hamil trimester III di wilayah kerja Puskesmas Cilacap Utara 2 tahun 2019. Penelitian ini menggunakan desain survey analytic, rancangan pengambilan data case control dan pendekatan waktu retrospektif. Tehnik sampling menggunakan teknik purposive sampling, dengan besar sampel 66 orang ibu hamil trimester III. Hasil penelitian menunjukkan bahwa tidak ada hubungan antara asupan protein dan asupan zat besi dengan kejadian anemia pada ibu hamil trimester III di wilayah kerja Puskesmas Cilacap Utara 2 (pv= 0,819; pv= 0,120). Ada hubungan signifikan antara pola makan dengan kejadian anemia pada ibu hamil trimester III di wilayah kerja Puskesmas Cilacap Utara 2 (pv= 0,003; Odds Ratio= 5,290). Ibu hamil dengan pola makan kurang baik beresiko 5,29 kali mengalami anemia dibandingkan ibu hamil dengan pola makan yang baik.
 
 
 
 

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.326
Teacher spread0.281 · 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 designBench or experimental
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

Citations4
Published2020
Admission routes1
Has abstractyes

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