J Korean Acad Nurs.  2011 Dec;41(6):758-767. 10.4040/jkan.2011.41.6.758.

Usefulness of Estimated Height Loss for Detection of Osteoporosis in Women

• Yeoum SG
• Lee JH

• KMID: 1120108
• DOI: http://doi.org/10.4040/jkan.2011.41.6.758

Abstract

PURPOSE
This study was done to examine the threshold value of estimated height loss at which the risk of osteoporosis increases and to verify its discriminative ability in the detection of osteoporosis.
METHODS
It was conducted based on epidemiological descriptive methods on 732 Korean women at a public healthcare center in Seoul between July and November 2010. ANOVA, Pearson correlation, logistic regression analysis and receiver operating characteristics (ROC) curve were used for data analysis.
RESULTS
There was an age-related correlation between bone mineral density (lumbar spine: F=37.88, p<.001; femur: F=54.27, p<.001) and estimated height loss (F=27.68, p<.001). Estimated height loss increased significantly with decreasing bone mineral density (lumbar spine: r=-.23, p<.001; femur: r=-.34, p<.001). The odds ratio for the point at which the estimated height loss affects the occurrence of osteoporosis was found to increase at a cut-off value of 2 cm and the area under ROC curve was .71 and .82 in lumbar spine and femur, respectively.
CONCLUSION
The optimal cut-off value of the estimated height loss for detection of osteoporosis was 2 cm. Height loss is therefore a useful indicator for the self-assessment and prognosis of osteoporosis.

Keyword

Osteoporosis; Height loss; Bone mineral density; Women

MeSH Terms

Adult
Age Factors
Aged
*Body Height
Body Mass Index
Bone Density
Female
Femur/radiography
Humans
Logistic Models
Lumbar Vertebrae/radiography
Middle Aged
Odds Ratio
Osteoporosis/*diagnosis/radiography
Predictive Value of Tests
Prevalence
ROC Curve