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Record W3207412060 · doi:10.53350/pjmhs211582472

Prevalence and Predictors of Dysmenorrhea, its Effects and Coping Mechanism among Adolescent

2021· article· en· W3207412060 on OpenAlexaff
Zulfiqar Ali, Shumaila Khawaja Khail, Aasia Fozia, Nadia Pervaiz, Fatima Rehman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsMedicineMenarcheConfidence intervalOdds ratioObstetricsStatistical significanceCross-sectional studyGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Background and Aim: Dysmenorrhea is one of the most common gynecological disorders in the world. The current study aims to know the prevalence of dysmenorrhea and its management practices among adolescent girls. The study also aim to assess predictors of dysmenorrhea treatment options. Materials and Methods: This institutional-based cross-sectional study was carried out at Obstetrics & Gynaecology department of Mardan Women Hospital, Sheikh Maltoon Town Mardan and Jinnah International Hospital, Abbottabad from June 2020 to November 2020. Pretested self-administrated and a semi-structured questionnaire was used for data collection from volunteer adolescent girls to take part in this study. The outcome and exposure variables association was evaluated through a multi regression model and chi-square test. Dysmenorrhea risk was reported by taking the odds ratio at a confidence interval of 95%. SPSS version 20 was used for data analysis and statistical significance was considered at p<0.05. Results: Of the total 680 questionnaires, 601 (88.4%) were completed. The response rate and dysmenorrhea prevalence were 88.4% and 53.3% respectively. The mean age of the adolescents was 16.3 ± 1.92. While mean age for Menarche was 12.41 ± 1.62. A significant difference (t= 5.78, p< 0.001) between dysmenorrhea and non-dysmenorrhea age girls was (16.81 ±1.98) and (12.56 ± 1.65) respectively. The common symptom of waist pain among participants was (345, 57.4%). The prevalence of participants taking Over-the-counter (OTC) drugs for menstrual symptoms was 191 (31.8%). Dysmenorrhea’s severity and age were the two significant predictors for the prospect of taking a dysmenorrhea pharmacological agent. Conclusion: Our study concluded that a higher prevalence of dysmenorrhea was observed among adolescents compared to Menarche which adversely affects the routine major activities. A significant association between self-reported dysmenorrhea and the abnormal menstrual cycle was found. Adolescents must be educated early on about the safety and efficacy of various dysmenorrhea management options. Keywords: Dysmenorrhea, Adolescence, Menarche

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.268
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; a candidate call from one teacher head, 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

Citations3
Published2021
Admission routes1
Has abstractyes

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