Development of Osteoporosis Screening Algorithm for Population Aged 50 Years and above in Klang Valley, Malaysia.
Int J Environ Res Public Health
; 17(7)2020 04 07.
Article
en En
| MEDLINE
| ID: mdl-32272697
ABSTRACT
Background:
The current osteoporosis screening instruments are not optimized to be used among the Malaysian population. This study aimed to develop an osteoporosis screening algorithm based on risk factors for Malaysians.Methods:
Malaysians aged ≥50 years (n = 607) from Klang Valley, Malaysia were interviewed and their bone health status was assessed using a dual-energy X-ray absorptiometry device. The algorithm was constructed based on osteoporosis risk factors using multivariate logistic regression and its performance was assessed using receiver operating characteristics analysis.Results:
Increased age, reduced body weight and being less physically active significantly predicted osteoporosis in men, while in women, increased age, lower body weight and low-income status significantly predicted osteoporosis. These factors were included in the final algorithm and the optimal cut-offs to identify subjects with osteoporosis was 0.00120 for men [sensitivity 73.3% (95% confidence interval (CI) = 54.1%-87.7%), specificity 67.8% (95% CI = 62.7%-85.5%), area under curve (AUC) 0.705 (95% CI = 0.608-0.803), p < 0.001] and 0.161 for women [sensitivity 75.4% (95% CI = 61.9%-73.3%), specificity 74.5% (95% CI = 68.5%-79.8%), AUC 0.749 (95% CI = 0.679-0.820), p < 0.001].Conclusion:
The new algorithm performed satisfactorily in identifying the risk of osteoporosis among the Malaysian population ≥50 years. Further validation studies are required before applying this algorithm for screening of osteoporosis in public.Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Osteoporosis
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Densidad Ósea
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
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Screening_studies
Límite:
Female
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Humans
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Male
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Middle aged
País/Región como asunto:
Asia
Idioma:
En
Revista:
Int J Environ Res Public Health
Año:
2020
Tipo del documento:
Article
País de afiliación:
Malasia