[26] and Spencer et al. [27]. Radiographic vertebral deformities were defined as vertebral heights more than 3 SDs below the vertebra-specific population mean on the radiograph; vertebrae that met this posterior height criterion were classified as crush. The remaining vertebrae that had an anterior height reduction were called wedge. The remaining AMN-107 vertebrae that only had a central height reduction were called endplate. The timing of deformities could not be determined in this cross-sectional study. Vertebral osteoarthritis Radiographs were scored by a single reader (HK) for osteoarthritis of the thoracic spine in T4–T12 or lumbar
spine in L1–L4 using the Kellgren–Lawrence (KL) grade as follows: KL0, normal; KL1, slight osteophytes; KL2, definite osteophytes; KL3, disc space narrowing with large osteophytes; and KL4, bone sclerosis, disc space narrowing, and large osteophytes [28]. In the present
study, we defined the spine with disc space narrowing with and without osteophytes as KL3 [19]. KL grade was determined at intervertebral spaces, and the highest scores among thoracic or lumbar intervertebral spaces were then identified as the KL grade for that individual. Osteoarthritis was defined as KL grade 2 or higher. To evaluate the intrarater reliability of the KL grading, randomly selected radiographs of the thoracic and lumbar spine were scored by the same reader more than 1 month after the first reading for 40 individuals. The intrarater reliabilities were evaluated by kappa analysis. The reliability in KL grading of the thoracic selleck products or lumbar radiographs was found to be sufficient with kappa scores of 0.76 and 0.85, respectively. Radiographic readers (KA and HK) were blind to the ICG-001 supplier subjects’ ages and other Teicoplanin characteristics. Statistical analysis For reasons of poor technical quality, the radiographs of two women did not allow reliable measurements of vertebral heights, leaving 584 women for the analyses. The Cochran–Armitage trend test was
used to evaluate differences in the prevalence of back pain among age groups, and the chi-square test was used to evaluate differences among categories of number of vertebral deformities. Logistic regression analysis was used to explore the associations of type and number of vertebral deformity with back pain in the previous month; results are presented as odds ratios (ORs) with 95 % confidence intervals (CIs). Data analyses were performed with commercially available software (SAS Institute, Cary, NC). Results The mean (SD) of age and BMI were 64.4 (9.6) years and 23.4 (3.5) kg/m2, respectively (Table 1). Fifteen percent of women had at least one vertebral deformity and 74 % had vertebral osteoarthritis. Forty-nine percent of women reported at least one painful joint at nonspine sites and 91 % were postmenopausal. The prevalence of upper back pain and low back pain were 19.2 % and 19.4 %, respectively (Table 2).