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Objective: To determine whether the risk factors described in the literature are applicable to our population or not., Material and Methods: A case and control study was undertaken. Seventy patients with an imaging-confirmed diagnosis of lumbar stenosis were included as well as 70 controls that denied having any of the following symptoms: chronic lumbar pain, claudication, sensory alterations and muscle weakness of the lower limbs. A survey to identify risk factors possibly associated with lumbar stenosis was carried out. The statistical analysis was done with non-conditional logistic regression and the risks were determined by means of an odds ratio (OR) in both a univariate and a multivariate modality., Results: One hundred and forty individuals of both genders were included; 70 cases and 70 controls. The factors that were found to be significant in the univariate analysis were included in the multivariate analysis. The OR for age was 7.6 (CI 95% = 2.81-20.93; p = 0.0001), for scoliosis, 5.14 (IC 95% = 1.27-20.77; p = 0.021), for SAH, 1.82 (IC 95% = 0.74-4.48; p = 0.19) and for neoplasias, 2.55 (IC 95% = 0.22-29.23; p = 0.45)., Conclusion: This study showed that age over 65 years, scoliosis and systemic arterial hypertension are risk factors for lumbar stenosis. The multivariate analysis showed that age increases the risk in the presence of scoliosis.

Introduction: Bone and skeletal muscle mass loss is related to age. Mechanisms by which they interact have not been well established., Objective: To establish a relationship of age with serum levels of IGF-1, skeletal muscle and appendicular muscle mass index, and their influence in isokinetic parameters in osteoporotic female patients., Material and Methods: Pearson correlation coefficient and linear regression analyses were used., Results: There were 38 patients with a mean age of 65.16 years (range: 50-84 years), mean appendicular skeletal mass index (ASMI) of 6.3 kg/m2 (range: 4.3-8.3) and mean skeletal mass index (SMI) of 12.4 kg/m2 (range: 9.6-15.7), mean serum IGF-1 levels of 82.97 ng/ml (range: 22-177). Linear regression predicted hip mineral bone density by SMI (p = 0.19) and age (p = 0.017, r = 0.50). Some isokinetic parameters had a positive correlation for work with age. Knee acceleration time had a positive correlation with age., Conclusions: Osteoporosis and sarcopenia may have related pathophysiologic mechanisms. Growth factor study must include the influence of sex hormones. Some isokinetic parameters are determined by the predominant muscle fiber, skeletal mass index and age.