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Record W3010457237 · doi:10.33366/jc.v8i1.1403

SPINNING EXERCISE INTENSITAS SEDANG MENURUNKAN GEJALA DISMENORE PRIMER MAHASISWI DIII KEBIDANAN

2020· article· en· W3010457237 on OpenAlexaff
Hani Oktafiani, Hadi Susiarno, Vita Murniarti

Bibliographic record

VenueCare Jurnal Ilmiah Ilmu Kesehatan · 2020
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsIntervention (counseling)Wilcoxon signed-rank testPhysical therapyMedicineMann–Whitney U testStatistical significancePsychologyInternal medicineNursing

Abstract

fetched live from OpenAlex

Some young women including female students in Indonesia are still not free from complaints of dysmenorrhea syndrome. One of the effects of dysmenorrhea is a decrease in learning concentration and daily productivity. Activity that can be pursued is to change lifestyles to be more active in physical exercise, one of which is exercise training. The purpose of this study was to analyze the effect of moderate-intensity spinning exercise on reducing the symptoms of primary dysmenorrhea pain in female college students. This quantitative research uses a quasi-experimental design pre-test post-test design. Studies subjects numbered 32 where the control and intervention groups each consisted of 16 respondents. The intervention that will be given to the intervention group is a moderate intensity spinning exercise for 3 weeks with the FITT principle. The research data were analyzed by Mann Whitney and Wilcoxon statistical tests. The results of the analysis showed a decrease in dysmenorrhea pain symptoms before the intervention there was no significant difference (p> 0.05), whereas after the administration of the intervention showed there were significant differences in the intervention and control groups with a value of p = 0.001. The influence of moderate-intensity spinning exercise can reduce the symptoms of dysmenorrhea pain by 66%. Educational institutions can implement policies on the use of spinning tools in the environment of students and educate these tools to adolescents in the target area given their effective use to reduce menstrual pain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.093
GPT teacher head0.444
Teacher spread0.351 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

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