ArticleEndocrine2022
Development and validation of a novel screening tool for osteoporosis in older US adults: The NHANES cross-sectional study.
Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 12 citations in OpenAlex.
- Joint association of weekend catch-up sleep and triglyceride-glucose index on bone loss and all-cause mortality in employed U.S. adults aged 18-60 with diabetes.Lipids in health and disease · 2026Article
- A Simple Osteoporosis Clinical Risk Model Based on the National Health and Nutrition Examination Survey.Indian journal of orthopaedics · 2025Article
- Performance of the Primary Osteoporosis Screening Tool (POST) in osteoporosis screening: a cross-sectional study in China.European journal of medical research · 2025Article
- Associations of ethnicity, skin tone, and genome-wide sequencing with bone mineral density in adolescents.Pediatric research · 2025Article
- Development and validation of a novel glucolipid metabolism-related nomogram to enhance the predictive performance for osteoporosis complications in prediabetic and diabetic patients.Lipids in health and disease · 2025Article
- Development and validation of a novel metabolic health-related nomogram to improve predictive performance of cardiovascular disease risk in patients with prediabetes.Lipids in health and disease · 2025Article
- Mid-Childhood Plasma Concentrations of Per- and Polyfluoroalkyl Substances, Modifiable Lifestyle Factors, and Bone Mineral Density Through Late Adolescence.Environmental science & technology · 2024Article
- Association between dietary inflammatory index and all-cause mortality in patients with osteopenia or osteoporosis: A retrospective cohort study from the NHANES 2007-2018.Preventive medicine reports · 2024Article
- Prediction of Osteoporotic Hip Fracture Outcome: Comparative Accuracy of 27 Immune-Inflammatory-Metabolic Markers and Related Conceptual Issues.Journal of clinical medicine · 2024Article
- Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity.International journal of environmental research and public health · 2024Review
- A novel primary osteoporosis screening tool (POST) for adults aged 50 years and over.Endocrine · 2023Article
- Associations between weight-adjusted waist index and fractures: a population-based study.Journal of orthopaedic surgery and research · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeOsteoporosis (OP) is a common disease among adults aged >50 years. At present, the main approach to screen or to diagnosis OP is mainly via bone mineral density (BMD) testing, which might not be optimal for OP screening. This study aimed to develop and validate a convenient and effective prediction model for screening OP based on the demographic information, medical history, and lifestyle habits in the elderly in the United States.
methodsAll data were collected from the National Health and Nutrition Survey database. Participants aged ≥50 years with complete BMD data were included in this study. Twelve candidate predictors were initially selected to develop the prediction model. Final predictors screening and model development were based on multivariate logistic regression. Model discrimination (C statistic) and calibration (Brier scores) were calculated to evaluate the performance of the model. Internal validation was performed using the bootstrap resampling technique, and external validation was based on the validation cohort.
resultsThe screening tool was developed with individual patient data from 1941 patients and validated with data from 1947 patients after the development of the model. Seven predictors (patient age, sex, race, body mass index, physical activity, sleep duration, and history of fracture) were included in the final prediction model, and the final model had a C statistic of 0.849 [95% confidence interval (CI): 0.820-0.878] and Brier scores of 0.062 [95% CI: 0.054-0.070] on the development cohort. For the validation of the developed model, the results showed a C statistic >0.800 and Brier scores <0.070, irrespective of internal validation or external validation.
conclusionsA novel screening tool for OP in the elderly, which has excellent discrimination and useful calibration, has been developed and externally validated. Considering its simplicity, generalizability, and accuracy, this tool has the potential to become a practical mean for the elderly to screen OP.
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