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Record W3205390927

Skrining Diabetes Melitus Tipe 2 Pada Skrining Diabetes Melitus Tipe 2 Pada Skrining Diabetes Melitus Tipe 2 Pada

2020· dissertation· id· W3205390927 on OpenAlexaboutno aff
Yerlita El Gihart

Bibliographic record

VenueUniversitas Airlangga Repository (Universitas Airlangga) · 2020
Typedissertation
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusFamily historyBody mass indexType 2 Diabetes MellitusPediatricsInternal medicineEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

Diabetes mellitus is a chronic condition that occurs when the level of blood glucose increase because the body cannot produce enough sufficient insulin or use insulin ineffectively. This study targeted the visitors of primary health care centres in Surabaya who had Body Mass Index (BMI) above normal (≥25 kg/m2) at the time of the study. This study aimed to identify the risk profile for developing type 2 diabetes mellitus in visitors of primary health care centres in Surabaya with BMI score above normal. This study was a cross-sectional study using the CANRISK (The Canadian Diabetes Risk Questionnaire). Respondents were recruited using accidental sampling method in several primary health care centres in Surabaya. About 121 respondents agreed to participate in this study. The results showed that 9,1% (11) respondents had low risk; 28,1% (34) had moderate risk; and 62,8% (76) had high risk for developing type 2 diabetes mellitus in the next 10 years. This study were also showed significant difference between age (p = 0.000), gender (p = 0.000), history of hypertension (p = 0.006), and education (p = 0.002) in the risk category for developing type 2 diabetes mellitus using the CANRISK questionnaire. There was no significant difference in the risk for developing type 2 diabetes mellitus and the for physical activity, fruit or vegetable consumption, history of high blood glucose, childbirth ≥ 4,1 kg, and family history of DM. In conclusion, respondents with moderate and high risk can improve lifestyle, increasing the frequency of exercise can reduce or normalize BMI and size of waist circumference. Choice of foods with low salt intake and access information related to type 2 DM prevention.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0040.004
Science and technology studies0.0050.001
Scholarly communication0.0010.004
Open science0.0030.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.224
Teacher spread0.213 · 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 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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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