82 research outputs found

    A better way of life: The role of leisure activities on self-perceived health, perceived stress, confidence in stress management, and satisfaction with social support in psychiatrists and psychiatry trainees in Mexico

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    BackgroundPsychiatrists are at high risk of developing burnout and mental health problems mainly due to their emotionally demanding jobs, difficult working conditions, long working hours, and poor work-life balance. As leisure activities are associated with better physical and mental health, engaging in these activities has been recommended as a measure to improve the wellbeing of healthcare workers. However, it is unclear the extent of which psychiatrists and trainees are involved in leisure activities, what type of activities they prefer, or how these impact their self-perceived health, stress, confidence in stress management, and satisfaction with their social support.ObjectiveThe aim of this study was to identify differences in self-perceived health, perceived stress, confidence in stress management, and satisfaction with social support, between psychiatrists and trainees who engage in different leisure activities, compared with those who do not.MethodsThis was a cross-sectional study, including Mexican psychiatrists (n = 355) and trainees (n = 330) who agreed to participate through an online survey.Results73.1% of participants engaged in some leisure activity, being solitary-passive activities the most reported. Those who have a leisure activity reported lower stress, greater confidence in stress management, and more satisfaction with their social support. Passive-solitary activities were associated with less perceived stress and better confidence in stress management, while active-solitary and social activities were associated with better satisfaction with social support.ConclusionPsychiatrists' and trainees' wellbeing benefits from engagement in leisure activities, which should be part of their daily schedules to reduce stress, and potentially improve their mental health

    A haplotype of the phosphodiesterase 4D (PDE4D) gene is associated with myocardial infarction and with cardiometabolic parameters

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    The phosphodiesterase family is involved in a wide spectrum of diseases, including ischemic stroke. However, few studies have analyzed the relationship between phosphodiesterase 4D (PDE4D) and myocardial infarction (MI). Therefore, the aim of this research was to evaluate the association of the PDE4D gene polymorphisms with MI, and with cardiometabolic parameters in the Mexican population. Six polymorphisms (rs2910829, rs1423246, rs966221, rs4502776, rs13172481, and rs6869495) were genotyped in 1023 MI patients and 1105 healthy controls. A similar distribution of the six polymorphisms was observed in both studied groups. However, after evaluating the linkage disequilibrium, we detected a risk haplotype for MI (AGAGAA; OR = 1.148; P = 0.025). In addition, the polymorphisms were associated with the presence of some clinical and metabolic parameters (central obesity, hypertriglyceridemia, Aspartate transaminase >p75, Lipoprotein (a) >30 mg/dL, TAT >p75, fatty liver, and vitamin D <30 ng/dL) in healthy controls. The results suggest that in the Mexican population, a PDE4D haplotype is associated with increased risk of developing MI, and that PDE4D polymorphisms are independently associated with the presence of cardiometabolic parameters

    Prevalence of Anxiety and Depression among Outpatients with Type 2 Diabetes in the Mexican Population

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    Depression and anxiety are common in diabetic patients; however, in recent years the frequency of these symptoms has markedly increased worldwide. Therefore, it is necessary to establish the frequency and factors associated with depression and anxiety, since they can be responsible for premature morbidity, mortality, risk of developing comorbidities, complications, suffering of patients, as well as escalation of costs. We studied the frequency of depression and anxiety in Mexican outpatients with type 2 diabetes and identified the risk factors for depression and anxiety.We performed a study in 820 patients with type 2 diabetes. The prevalence of depression and anxiety was estimated using the Hamilton Depression Rating Scale and the Hamilton Anxiety Rating Scale, respectively. We calculated the proportions for depression and anxiety and, after adjusting for confounding variables, we performed multivariate analysis using multiple logistic regressions to evaluate the combined effect of the various factors associated with anxiety and depression among persons with type 2 diabetes. The rates for depression and anxiety were 48.27% (95% CI: 44.48–52.06) and 55.10% (95% CI: 51.44–58.93), respectively. Occupation and complications in diabetes were the factors associated with anxiety, whereas glucose level and complications in diabetes were associated with depression. Complications in diabetes was a factor common to depression and anxiety (p<0.0001; OR 1.79, 95% CI 1.29–2.4).Our findings demonstrate that a large proportion of diabetic patients present depression and/or anxiety. We also identified a significant association between complications in diabetes with depression and anxiety. Interventions are necessary to hinder the appearance of complications in diabetes and in consequence prevent depression and anxiety

    Interleukin 6 (rs1800795) gene polymorphism is associated with cardiovascular diseases

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    Cardiovascular diseases (CVD) are group of complex and multifactorial pathologies, in which interleukin-6 (IL- 6) gene polymorphisms have been associated with several components of the CVD. Thus, in this study, we thoroughly reviewed and meta-analyzed evidence on the association between the IL-6 (rs1800795) gene polymorphism and CVD. We systematically searched in the PubMed, Web of Sciences, and Scopus databases. The analyses were performed using five study groups based on (1) a combined pool of the overall populations, (2) the country of birth, (3) the continent of birth, (4) the diagnosis and (5) both location (country or continent) and diagnosis. The analysis included the allelic, homozygote, heterozygote, dominant and recessive models. The meta-analysisshowed that -174G>C (rs1800795) is a risk factor for CVD (allelic: OR=1.06, CI 95%=1.02-1.10. Z p value C (rs1800795) polymorphism have an increase in the risk of coronary artery disease under the hereditary models assessed in the study. Using robust data, we found that IL-6 (rs1800795) -174G>C gene polymorphism is associated with CVD risk
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