The performance of an online osteoporosis detection system a sensitivity and specificity analysis.

AIMS AND OBJECTIVES: To develop an online system for the detection of osteoporosis risk and to test its accuracy. BACKGROUND: Osteoporosis is a silent killer; usually, there are no symptoms, such as pain, until bone erosion and fracture occur. The risks of osteoporosis have been underestimated and neglected; as a result, osteoporosis can be as dangerous as heart diseases and cancers that lead to a healthcare crisis. DESIGN: Cross-sectional study. METHODS: The study participants were individuals presenting for routine health examinations at a medical centre in Taiwan from 2006-2007. Women over 30 years of age who underwent dual-energy X-ray absorptiometry scanning for measurement of bone mineral density were eligible for this study. The system for osteoporosis detection and health risk, which was developed in this study, was analysed. RESULTS: The findings indicated a high sensitivity of 75%, specificity of 75%, positive predictive value of 75% and negative predictive value of 75%. In addition, the online osteoporosis detective system had a higher predictive power (24·2% vs. 11%) and a similar cut-off point (33% vs. 27%) compared with the tool designed by the International Osteoporosis Foundation. CONCLUSION: The online system for detection of osteoporosis risk had excellent reliability and validity. It performed well in predicting osteoporosis and the cut-off point used for identifying the risk among women at risk of developing osteoporosis. Therefore, it is suitable for the Asian women and can help women achieve the goals of early detection and health promotion. RELEVANCE TO CLINICAL PRACTICE: Early detection is the only way to prevent osteoporosis. Professional nurses should apply effective technology to promote health care in community-dwelling people.

Cross-sectional survey of women in Taiwan with first-degree relatives with osteoporosis: knowledge, health beliefs, and preventive behaviors.

No previous investigation has explored preventive behaviors among women with First-Degree Relatives (FDRs) diagnosed with osteoporosis, particularly Asian women. This study investigates osteoporosis knowledge, health beliefs and preventive behaviors of women with a family history of osteoporosis, and the different knowledge and health beliefs regarding preventive behaviors of women with such a history. Women were recruited at a large public health center in northern Taiwan. A questionnaire was administered to women with FDRs with osteoporosis with a focus on osteoporosis knowledge, health beliefs and preventive behaviors. Descriptive analysis was initially conducted. Correlation and differences between demographics, knowledge, health beliefs and preventive behaviors were rated for continuous variables, and the chi2 test was performed for categorical variables. A total of 251 who women satisfied the sampling criteria were invited to engage in the study. Two hundred and one women agreed to take part in the study, and the participation rate was around 80%. This work stresses the insufficiency of information on osteoporosis, constraining beliefs and ignorance of healthy preventive behaviors among women with FDRs with osteoporosis. Overall, the likelihood that women would take positive preventive behaviors is associated with their demographics and knowledge. The variables most strongly correlated with preventive behaviors for community-dwelling women are, in order, knowledge, number of children, educational level, knowledge of osteoporosis, experience of bone density examination, and whether or not women believed they had kyphosis. The results of this work can be applied to provide effective implementation guidelines for preventing osteoporosis, especially for women with a family history of the disease.