Evidence map›Paper›PMID 37022623›Full record

ArticleArchives of osteoporosis2023

"A natural consequence of aging in women?": a mixed-method exploration on osteoporosis self-efficacy in Turkey.

Sidar Gül, Zeliha Büyükbayram

Abstract read
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In one paragraph

Article in Archives of osteoporosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sidar GülFaculty of Health Sciences, Siirt University, Siirt, Turkey. sidaraytekin@gmail.com.
Zeliha BüyükbayramFaculty of Health Sciences, Siirt University, Siirt, Turkey.
Siirt Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The perception of osteoporosis self-efficacy is an important factor in coping with osteoporosis. Being older, not exercising regularly, inadequate consumption of milk and dairy products, inadequate exposure to sunlight, knowledge gaps, negative disease perceptions, and barriers to osteoporosis treatment adherence negatively affect osteoporosis self-efficacy levels of women (p < 0.001). PURPOSE: The purpose of this study to determine the osteoporosis-related self-efficacy levels of women with osteoporosis and investigate the relationship between the characteristics of these women and their osteoporosis self-efficacy.

methodsThe study was conducted in Siirt province in the Southeastern Anatolia Region of Turkey. A mixed-method approach was selected. Data were collected with 280 surveys and 30 participants' interviews.

resultsThe mean total OSES score of the participants was 649.82 ± 221.09. Aging, not exercising regularly, inadequate consumption of milk and dairy products, and inadequate exposure to sunlight were significant predictors of low osteoporosis self-efficacy (p < 0.001), explaining 23.4% of the total variance. Knowledge gaps, disease perceptions, facilitators of treatment adherence, and barriers to treatment adherence affected the osteoporosis self-efficacy of the participants.

conclusionThe osteoporosis-related self-efficacy levels of the participants of this study were low. The results suggest that a strategy to organize routine health education programs should be established in order to create a higher perception of osteoporosis self-efficacy in women with osteoporosis and to reduce knowledge gaps and barriers.

Indexed as

OsteoporosisSelf EfficacyAgingFemaleHealth EducationHumansTurkeyMixed-methodsOsteoporosisSelf-efficacyWomen with osteoporosis

Identifiers

PMID37022623
OpenAlexW4362657717

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.