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Develop a bone mineral density T-score distribution nomograms based on osteoporosis risk factors for middle-aged and older adults.
Yue, Chun; Li, Yong-Fang; Xu, Lu-Lu; Wang, Qin-Yi; Yang, Yan-Yi; Sheng, Zhi-Feng.
Afiliación
  • Yue C; Health Management Center, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Li YF; Department of Metabolism and Endocrinology, Zhuzhou Hospital of Xiangya School of Medicine,Central South University, Zhuzhou, Hunan, China.
  • Xu LL; Health Management Center, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Wang QY; Health Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, Hunan Provincial Key Laboratory of Metabolic Bone Diseases, Department of Metabolism and Endocrinology, The Second Xia
  • Yang YY; Health Management Center, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Sheng ZF; Health Management Center, Hunan Provincial Clinical Medicine Research Center for Intelligent Management of Chronic Disease, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China; Health Management Center, National Clinical Research Center for Metabolic Diseases, Hunan Provi
Geriatr Nurs ; 58: 344-351, 2024.
Article en En | MEDLINE | ID: mdl-38875761
ABSTRACT

PURPOSE:

This study aimed to understand how age, health status, and lifestyle impact bone mineral density (BMD) in middle-aged and older adults, focusing on predicting osteoporosis risk.

METHODS:

This study included 2836 participants aged 50-88 from the Health Improvement Program of Bone (HOPE) conducted from 2021 to 2023. We used logistic regression to make a prediction tool. Then checked its accuracy and reliability using receiver operating characteristic (ROC) and calibration curves.

RESULTS:

Factors like age, body weight, prior fractures, and smoking were independently found to affect BMD T-score distribution in men. In women, age and body weight were identified as independent factors influencing BMD T-score distribution. A nomogram was created to visually illustrate these predictive relationships.

CONCLUSIONS:

The nomogram proved highly accurate in identifying men aged 50 and above and postmenopausal women based on their BMD T-score distribution, improving clinical decision-making and patient care in osteoporosis evaluation and treatment.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Osteoporosis / Densidad Ósea / Nomogramas Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Geriatr Nurs Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Osteoporosis / Densidad Ósea / Nomogramas Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Geriatr Nurs Año: 2024 Tipo del documento: Article País de afiliación: China