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3%). Fasting serum insulin was measured with an immunoelectric method based on chemiluminescence with an Advia Centaur (Bayer Diagnostics, Tarrytown, NY; interassay CV http://www.selleckchem.com/products/Y-27632.html 2000 Intact PTH Assay (Diagnostic Products Corporation, Los Angeles, CA, USA; intraassay CV 2% to 3%, interassay CV 9% to 10%). Fracture outcomes were collected up to September 1, 2009, and the site of fracture and time to fracture were retrieved from computerized X-ray archives in Gothenburg using a unique personal registration number held by all Swedish citizens. Fractures reported by the study subject, but not independently confirmed, were not included in the present study. Deaths were documented from the National Cause of Death Register up to the end of 2009. This register comprises records of all deaths in Sweden and is more than 99% complete. Emigrants were followed up to the day of emigration. Participants were followed for a mean of 5.2 years (range, 0.0�C7.4) years after the baseline examination. Any fracture was studied as the primary endpoint regardless of site. Sites considered to be characteristic of osteoporosis31 and all nonvertebral fractures were studied separately as secondary endpoints. Correlations between serum adiponectin and other http://www.selleck.cn/products/BKM-120.html variables were analyzed using nonparametric Pitman's permutation test.32 Linear regression was used to http://www.selleckchem.com/products/chir-99021-ct99021-hcl.html adjust for other variables. An extension of the Poisson regression model33 was used to study the association between age, the time since baseline, serum adiponectin, other covariates on the one hand, and on the other hand, the risk of fracture. In contrast to logistic regression, the Poisson regression uses the length of each individual's follow-up period and the hazard function is assumed to be exp(��0?+?��1 [current time from baseline]?+?��2?��?[current age]?+?��3?��?[current variable of interest]). The observation period of each participant was divided in intervals of 1 month. One fracture per person was counted. A similar approach was used to examine other predictors of fracture and a final multivariable model was constructed to determine which predictors had an independent contribution to risk. A forward stepwise approach was used, choosing all variables that had a value of p?