Evidence map›Paper›PMID 40656799›Full record

Observational studyJNMA; journal of the Nepal Medical Association2024

Prevalence and Risk Factors of Osteoporosis among Postmenopausal Women Visiting a District Hospital of Nepal: An Observational Study.

Dipendra Pandey, Samina Basnet, Smeena Pradhananga, Sarita Shrestha, Badri Rijal, Aman Neupane, Utsav Timilsina, Amit Upreti, Apil Upreti, Rabindra Baskota and 1 more

Abstract readObservational Study
In one paragraph

Observational study in JNMA; journal of the Nepal Medical Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Dipendra PandeyDepartment of Orthopaedics, Trishuli Hospital, Trishuli, Nuwakot, Nepal.
Samina BasnetTrishuli Hospital, Trishuli, Nuwakot, Nepal.
Smeena PradhanangaDepartment of Obstetrics and Gynecology, Trishuli Hospital, Trishuli, Nuwakot, Nepal.
Sarita ShresthaDepartment of Internal Medicine, Trishuli Hospital, Trishuli, Nuwakot, Nepal.
Badri RijalDepartment of Orthopedics, National Trauma Center, Mahankal, Kathmandu, Nepal.
Aman NeupaneTrishuli Hospital, Trishuli, Nuwakot, Nepal.
Utsav TimilsinaTrishuli Hospital, Trishuli, Nuwakot, Nepal.
Amit UpretiSpecial School for Disabled and Rehabilitation Center, Old Sinamangal, Kathmandu, Nepal.
Apil UpretiNational Neuro Center, Maharajgunj, Kathmandu, Nepal.
Rabindra BaskotaDepartment of Health Services, Teku, Kathmandu, Nepal.
Pawan Kumar HamalDepartment of Anaesthesiology, Trishuli Hospital, Trishuli, Nuwakot, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Osteoporosis and low bone mass affect millions of people worldwide, leading to severe consequences ranging from disability to mortality. This study aimed to determine the prevalence and risk factors of osteoporosis among postmenopausal women in a district of Nepal. Methods: An analytical cross-sectional study involving postmenopausal women from Nuwakot, Dhading, and Rasuwa districts in Nepal was conducted at Trishuli Hospital, Nuwakot. Ethical approval was taken from the Institutional Review Board of Nepal Health Research Council (Reference number: 1768). The prevalence of osteoporosis was determined, and the associated factors were analyzed using multivariate logistic regression. Dual-Energy X-ray Absorptiometry (GE-Lunar Prodigy) was used to measure Bone Mineral Density (g/cm Results: There were 384 postmenopausal women and the prevalence of osteoporosis was 82 (21.35%; 95% CI: 17.25%-25.45%)e. The mean age of female with osteoporosis was 67.52±8.84 years and that without osteoporosis was 55.70±7.69 years (p <0.001). The multivariate logistic regression showed aOR 0.82 for body mass index. Conclusions: The study reports a lower prevalence of osteoporosis than expected in postmenopausal women. There was a significant inverse relationship between osteoporosis and body mass index. However, no significant association was observed between Bone Mineral Density, biochemical variables, smoking, and parity.

Indexed as

Osteoporosis, PostmenopausalAbsorptiometry, PhotonAgedBody Mass IndexBone DensityCross-Sectional StudiesFemaleHospitals, DistrictHumansLogistic ModelsLumbar VertebraeMiddle AgedNepalPrevalenceRisk Factorsbone mineral densityosteoporosisprevalencerisk factors

Identifiers

PMID40656799
PMCPMC11931335

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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.