Fat mass is a predictor of BMD; however, the mechanisms involved remain uncertain. Two adipokines, leptin and adiponectin, were examined as potential mediators of this relation in 80 perimenopausal women. Adiponectin did not exert any effect on BMD, whereas leptin exerted a negative one, with insulin acting as a confounder to this relation.Fat mass is an important determinant of bone density, but the mechanism involved in this relation is uncertain. Leptin and adiponectin, as circulating peptides of adipocyte origin, are potential contributors to this relation. We investigated the role of leptin and adiponectin in mediating fat mass effects on the skeleton of perimenopausal women.Twenty-five premenopausal and 55 postmenopausal, healthy women (42-68 years old) participated in our study. Lumbar spine BMD (BMD(L2-L4)) and total body BMC (TBBMC) were measured with DXA, leptin levels with ELISA, and adiponectin levels with radioimmunoassay (RIA). Additionally, body composition analysis was performed, as well as measurements of several hormones.It was shown that serum leptin levels were negatively correlated with BMD (beta = -0.005, p = 0.027) and TBBMC (beta = -14.32, p = 0.013). The above correlation was observed only when serum insulin levels were included, as an independent variable, in the regression analysis model. Adiponectin was not significantly correlated with BMD(L2-L4) nor with TBBMC, either in the presence or absence of insulin.Circulating adiponectin does not seem to exert any effect on bone mass. In contrast, circulating leptin showed a negative correlation with bone mass, dependent on serum insulin levels.
Obstructive sleep apnea (OSA) and systemic inflammation typically coexist within a vicious cycle. This study aimed at exploring the effectiveness of a weight-loss lifestyle intervention in reducing plasma tumor necrosis factor-alpha (TNF-a), a well-established modulator of systematic inflammation in OSA. Eighty-four adult, overweight patients with a diagnosis of moderate-to-severe OSA were randomized to a standard care (SCG, n = 42) or a Mediterranean lifestyle group (MLG, n = 42). Both groups were prescribed continuous positive airway pressure (CPAP), while the MLG additionally participated in a 6-month behavioral intervention aiming at healthier weight and lifestyle habits according to the Mediterranean pattern. Plasma TNF-a was measured by an immunoenzymatic method both pre- and post-intervention. Drop-out rates were 33% (n = 14) for the SCG and 24% (n = 10) for the MLG. Intention-to-treat analysis (n = 84) revealed a significant decrease in median TNF-a only in the MLG (from 2.92 to 2.00 pg/mL, p = 0.001). Compared to the SCG, the MLG exhibited lower follow-up TNF-a levels (mean difference adjusted for age, sex, baseline TNF-a and CPAP use: -0.97 pg/mL, p = 0.014), and further controlling for weight loss did not attenuate this difference (p = 0.020). Per protocol analyses (n = 60) revealed similar results. In conclusion, a healthy lifestyle intervention can lower plasma TNF-a levels in patients with OSA.
Abstract Purpose: This study aims to identify the clinical and demographic determinants of patients’ communication with professionals in an international sample of cancer patients. Methods: Cancer patients completed EORTC communication questionnaire QLQ-COMU26 to assess ten areas of communication with their doctor or nurses plus another item to assess how competent they felt when communicating with professionals. Bivariable analyses and multivariable linear regression models were performed separately for each QLQ-COMU26 area. Results: 988 patients from 15 centres in 13 countries (five cultural areas) were included in the study. Higher age was related to higher level of communication in eight QLQ-COMU26 areas. Males reported higher level of communication in three areas. Lower levels of studies and a higher level of perceived competence when communicating with professionals were related to higher level of communication in the ten QLQ-COMU26 areas. Communication was of a higher level with nurses than with doctors in four areas. Having received previous treatment with the same doctor or group of nurses was related to higher communication levels in seven areas. Lack of comorbidity was related to higher communication levels in two areas. Various differences in determinants were found among tumour sites Conclusion Our regression model has shown several relationships between communication and the demographic and clinical variables that may help to identify patients at risk of poor communication. Future studies could focus on communication at diagnosis and in follow-up, and on areas such as assessing the particularities of communication between patient and professionals in relation to each cancer type.