Evidence map›Paper›PMID 40511153›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Predicting Osteoporosis Risk Using Regression Model Based on Socio Demographic Factors among Indian Women.

Ajeet Saoji, Prachi Saoji, Kartik Khurana, Rahitha Raj Ajimol Rajeev, Sreeuthra Baskaran, Naveen Javari Thirumalapura Javarashetty, Prashanth Arumugam

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ajeet SaojiDepartment of Community Medicine, NKP Salve Institute of Medical Sciences and Research Centre, Nagpur, Maharashtra, India.
Prachi SaojiDepartment of Mathematics, Ramdeobaba University, Nagpur, Maharashtra, India.
Kartik KhuranaDepartment of Surgery, NKP Salve Institute of Medical Sciences and Research Centre, Nagpur, Maharashtra, India.
Rahitha Raj Ajimol RajeevDepartment of Surgery, Believers Church Medical College Hospital, Thiruvalla, Kerala, India.
Sreeuthra BaskaranDepartment of General Medicine, SRM Medical College Hospital and Research Centre, Chengalpattu, Tamil Nadu, India.
Naveen Javari Thirumalapura JavarashettyDepartment of General Surgery, JP Hospitals, Sri Sai Nagar, Hyderabad, Telangana, India.
Prashanth ArumugamDepartment of Physiology, Mahatma Gandhi Institute of Medical Sciences, Wardha, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis is a major public health problem among Indian women, often being underdiagnosed until the occurrence of fractures. Socio-demographic factors associated with the risk of osteoporosis may be identified for early detection and prevention. Materials and Methods: A total of 150 Indian women, aged 30-60 years, were selected for this study. Socio-demographic and lifestyle data were analyzed using a regression model to predict the risk of osteoporosis. Age, education, income, body mass index (BMI), physical activity, and dietary calcium intake were assessed as predictors of osteoporosis. Bone mineral density (BMD) was measured with dual-energy X-ray absorptiometry (DXA) as the outcome variable. Results: Advanced age (OR = 2.3, Conclusion: The regression model identifies a few important socio-demographic factors that determine risk factors for osteoporosis in Indian women. These findings thus emphasize targeted awareness programs and preventive interventions to reduce the risk of osteoporosis in at-risk groups.

Indexed as

Bone mineral densityIndian womenosteoporosisregression modelrisk predictionsocio-demographic factors

Identifiers

PMID40511153
PMCPMC12156739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.