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1.
Front Behav Neurosci ; 16: 860241, 2022.
Article in English | MEDLINE | ID: covidwho-1809447

ABSTRACT

Purpose: The aim of the current study was twofold: first, to determine the prevalence of anxiety-induced sleep disturbances among Argentine adolescents according to sex, and second, to identify the association between these sleep disturbances and lifestyle behaviors in this population. Methods: This is a cross-sectional study with data from the Global School-based Student Health Survey (GSHS) in Argentina (2018). A total of 32,393 adolescents (aged 12-17 years; 53.4% girls) were included in the final analysis. Anxiety-induced sleep disturbances were assessed with the question "During the past 12 months, how often have you been so worried about something that you could not sleep at night?" Results: The prevalence of anxiety-induced sleep disturbances was higher in girls (17.4%) than in boys (7.9%) (p < 0.001). In boys, results indicated that those who used marijuana (cannabis) (odds ratio [OR] = 1.46, 95% confidence interval [CI] 1.08-1.98), used amphetamine or methamphetamine (OR = 2.19, 95% CI 1.28-3.77), walked or biked to or from school (OR = 1.53, 95% CI 1.19-1.96), and spent 3 h or more in sedentary behaviors (OR = 1.35, 95% CI 1.05-1.74) were more likely to report anxiety-induced sleep disturbances. In girls, those who ate from a fast-food restaurant (OR = 1.24, 95% CI 1.05-1.47), consumed alcoholic beverages (OR = 1.45, 95% CI 1.19-1.75), smoked cigarettes (OR = 2.09, 95%CI 1.05-4.14), consumed any tobacco product (OR = 1.47, 95% CI 1.19-1.82), used amphetamine or methamphetamine (OR = 2.08, 95% CI 1.33-3.26), and those who spent 3 h or more in sedentary behaviors (OR = 1.32, 95% CI 1.11-1.57) were more likely to report frequent anxiety-induced sleep disturbances. Conclusion: In conclusion, considerable sex differences were observed with respect to the prevalence of anxiety-related sleep disturbances and associated lifestyle aspects.

2.
PLoS One ; 15(11): e0241742, 2020.
Article in English | MEDLINE | ID: covidwho-902057

ABSTRACT

OBJECTIVE: Risk factors for in-hospital mortality in confirmed COVID-19 patients have been summarized in numerous meta-analyses, but it is still unclear whether they vary according to the age, sex and health conditions of the studied populations. This study explored these variables as potential mortality predictors. METHODS: A systematic review was conducted by searching the MEDLINE, Scopus, and Web of Science databases of studies available through July 27, 2020. The pooled risk was estimated with the odds ratio (p-OR) or effect size (p-ES) obtained through random-effects meta-analyses. Subgroup analyses and meta-regression were applied to explore differences by age, sex and health conditions. The MOOSE guidelines were strictly followed. RESULTS: The meta-analysis included 60 studies, with a total of 51,225 patients (12,458 [24.3%] deaths) from hospitals in 13 countries. A higher in-hospital mortality risk was found for dyspnoea (p-OR = 2.5), smoking (p-OR = 1.6) and several comorbidities (p-OR range: 1.8 to 4.7) and laboratory parameters (p-ES range: 0.3 to -2.6). Age was the main source of heterogeneity, followed by sex and health condition. The following predictors were more markedly associated with mortality in studies with patients with a mean age ≤60 years: dyspnoea (p-OR = 4.3), smoking (p-OR = 2.8), kidney disease (p-OR = 3.8), hypertension (p-OR = 3.7), malignancy (p-OR = 3.7), diabetes (p-OR = 3.2), pulmonary disease (p-OR = 3.1), decreased platelet count (p-ES = -1.7), decreased haemoglobin concentration (p-ES = -0.6), increased creatinine (p-ES = 2.4), increased interleukin-6 (p-ES = 2.4) and increased cardiac troponin I (p-ES = 0.7). On the other hand, in addition to comorbidities, the most important mortality predictors in studies with older patients were albumin (p-ES = -3.1), total bilirubin (p-ES = 0.7), AST (p-ES = 1.8), ALT (p-ES = 0.4), urea nitrogen (p-ES), C-reactive protein (p-ES = 2.7), LDH (p-ES = 2.4) and ferritin (p-ES = 1.7). Obesity was associated with increased mortality only in studies with fewer chronic or critical patients (p-OR = 1.8). CONCLUSION: The prognostic effect of clinical conditions on COVID-19 mortality vary substantially according to the mean age of patients. PROSPERO REGISTRATION NUMBER: CRD42020176595.


Subject(s)
Coronavirus Infections/mortality , Hospital Mortality , Pneumonia, Viral/mortality , Age Factors , COVID-19 , Health Status , Hospitalization , Humans , Pandemics , Risk Factors , Sex Factors
3.
BMJ Open ; 10(7):e036734-e036734, 2020.
Article in English | MEDLINE | ID: covidwho-662305

ABSTRACT

INTRODUCTION: Despite the consistent evidence of the benefits of physical activity on preventing atherosclerotic cardiovascular diseases (ASCVD) and some cardiovascular risk factors, such as hypertension and dyslipidaemia, the prescription of drugs remains the most widely used approach to prevent ASCVD in clinical settings. The purpose of this study protocol is to provide a meta-synthesis methodology for comparing the effect of fixed-dose combination therapy and physical exercise on controlling cardiovascular risk factors and preventing ASCVD. METHODS AND ANALYSIS: This protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols and the recommendations of the Cochrane Collaboration Handbook. We plan to conduct a computerised search in Medline, Web of Science, Embase, Cochrane Database of Systematic Reviews and SPORTDiscus from inception to May 2020 for studies testing the effectiveness of physical exercise or fixed-dose combination drug therapy in preventing ASCVD, all-cause and cardiovascular mortality and controlling some cardiovascular risk factors (hypertension and dyslipidaemia). Since performing network meta-analyses (NMA) is a statistical approach that allows direct and indirect comparisons of interventions, where sufficient studies are included, we plan to perform the following NMA comparing the effect of fixed-dose combination therapy and physical exercise interventions on (1) improving lipid profile, (2) reducing blood pressure, (3) preventing cardiovascular events and all-cause and cardiovascular mortality and (4) improving compliance with the therapeutic strategy and reducing adverse events. ETHICS AND DISSEMINATION: Ethical approval will not be needed because data included in the NMA will be extracted from published trials that meet accepted ethical standards. The results will be published in academic peer-reviewed journals, and the evidence gathered by this project could be included in the preventive cardiovascular disease guidelines. PROSPERO REGISTRATION NUMBER: CRD42019122794.

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