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Perception attitude and exercise compliance among menopausal females

2021· article· en· W3184405954 on OpenAlexaboutno aff
Jyoti Parle, Reema Parmar, Lubna Khan

Bibliographic record

VenueInternational Journal of Community Medicine and Public Health · 2021
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMenopauseMedicineLife expectancyPerceptionPopulationCompliance (psychology)Quarter (Canadian coin)DemographyGerontologyPsychologyInternal medicineSocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Background: Menopause is perhaps the most striking event occurring during the middle age in women and represents the end of woman's reproductive life. With the general increase in life expectancy, many women are likely to live for more than 20 years after menopause, spending about one quarter of their lives or more in a state of oestrogen deficiency. Owing to lack of oestrogen woman may experience decrease physical and mental wellbeing that’s why postmenopausal woman can be considered a risk population. There is a lack of data to find the compliance and attitude towards exercise among menopausal females in India.Methods: A questionnaire-based survey was conducted among sample size of 150 menopausal females. Self-made questionnaire was the outcome measure.Results: 21% consider menopause is associated with changes in the body.1 % perceived all the symptoms to be associated with menopause.30% perceived that none are associated with menopause. Perception was seen to be positive overall.36% of uneducated females do not consider exercise at all important.51% of educated females consider it important. Only 61% exercise on regular basis.Conclusions: Most females perceive menopause as a positive life event. Exercise was considered somewhat important by menopausal females; however exercise compliance was poor.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.242
GPT teacher head0.450
Teacher spread0.208 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Community Medicine and Public HealthSame topicMenopause: Health Impacts and TreatmentsFrench-language works237,207