Chronic emotional stress is associated with increased cortisol release and metabolism disorders. However, few studies have evaluated the influence of chronic stress on calcium oxalate (CaOx) stone disease and its recurrence. A total of 128 patients were enrolled in this case-control study over a period of 20 months. All patients were CaOx stone formers with a recent stone episode (<3 months); 31 were first-time stone formers (FS) and 33 recurrent stone formers (RS). Dimensions of chronic stress were evaluated with self-reported validated questionnaires measuring stressful life events, perceived stress, anxiety, depression, burnout and satisfaction with life. An ad hoc self-reporting questionnaire was designed to evaluate stress-related specifically to stone episodes. Blood and urine samples were collected to determine cortisol levels and urinary composition. In addition, epidemiological data, socioeconomic information, diet and incidences of metabolic syndrome (MS) were reported. Overall, no significant differences were observed in the scores of cases and controls on any of the questionnaires dealing with stress. The number (p < 0.001) and the intensity (p < 0.001) of perceived stressful life events were higher in RS than in FS, but there were no differences between the two groups in other dimensions of stress. RS had higher glucose (p = 0.08), uric acid (p = 0.02), blood cortisol (p = 0.01), and urine calcium levels (p = 0.01) than FS. RS also had lower economic levels (p = 0.02) and more frequent incidences of MS (p = 0.07) than FS. Although no differences were observed in cases and controls among any dimension of chronic stress, the number and intensity of stressful life events were higher in RS than in FS. These differences correlate with variations in blood and urinary levels and with metabolic disorders, indicating an association between chronic stress and risk of recurrent CaOx stone formation.
Numerous studies have reported an association between stress and urolithiasis. Although urinary risk factors have been measured in several of these, compelling evidence of a causal relationship has not been established. A shortcoming is that alterations in single urinary parameters rather than ratios and quotients, which provide a more synergistic risk evaluation, have been measured. Recently, we speculated about a possible association between chronic stress and stone recurrence. This presents an intriguing dichotomy of whether stress causes stones or vice versa, or whether they are linked in a self-propagating stress-stones-stress-recurrence cycle. We investigated the latter hypothesis in a retrospective case-control designed study in which we calculated urinary ratios and quotients which are regarded as diagnostic indicators of stone risk. These included Ca/Cr, Ox/Cr, Mg/Cr, Cit/Cr, urate/Cr and citrate-magnesium-calcium ratios, activity product quotient for calcium oxalate (CaOx) and relative supersaturation of CaOx, brushite and uric acid. Overnight urinary data from 128 participants comprising 31 first time (FS), 33 recurrent (RS) CaOx stone formers and 64 controls were used. All subjects had been previously assessed for chronic stress dimensions, as well as for stress caused by their stone episodes per se. Conditional and unconditional logistic regression (with a Bonferroni correction for multiple tests) and simple linear regression were used to analyse various components of the data. Although RS had more stressful life events, with greater intensity of perception than FS, there were no significant differences between the groups regarding any of the urinary risk factors. No significant association between stressful life events and any of the urinary ratios or quotients was observed. A direct causal link between stress and stone recurrence was not indicated. We believe that future studies should shift their focus from traditional urinary risk factors to other stone-forming mechanisms. However, we recognize that there is an inherent problem in attempting to solve the stress-stones dichotomy as it would be impossible to disentangle alterations in risk factors which arise from lifestyle stress and those arising from stone episodes themselves.
This study aims to evaluate the effect of regularly reporting spirometry results during smoking cessation counseling from a primary care physician on the quit rate in adult smokers. Methods: A randomized, two-arm intervention study was conducted at six primary care centers. A total of 350 smokers, ≥18 years of age, who consulted their primary care physician, participated in the study. At the selection visit, smokers who gave their consent to participate underwent spirometry. Subsequently, an appointment (visit 0) was scheduled to complete a nicotine dependence test, a smoking cessation motivation questionnaire, and a sociodemographic questionnaire. Participants were also offered brief, structured advice on how to quit smoking, as well as detailed information on spirometry results. Patients were then randomized and scheduled for follow-up visits at 3, 6, 12, and 24 months. Both arms received brief, structured advice and detailed information on spirometry results at visit 0. At consecutive follow-up visits, the control group only received brief, structured smoking cessation advice, while the intervention group also received information on initial spirometry results at visits 3 and 6, and a spirometry retest at visit 12. Exhaled carbon monoxide testing was used to check smoking cessation. Results: The study included 350 smokers; 179 were assigned to the control group and 171 to the intervention group. Smoking cessation at one year was 24.0% in the intervention group compared to 16.2% in the control group. At two years, it was 25.2% in the intervention group and 18.4% in the control group. Overall, the adjusted odds of quitting smoking in the intervention group were 42% higher than in the control group (p = 0.018). Conclusions: Regular and detailed feedback of spirometry results with smokers increases smoking cessation. Specifically, the likelihood of quitting smoking in the intervention group is 1.42 times higher than in the control group (p = 0.018).
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