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  • Oxford University Press (OUP)  (4)
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  • Oxford University Press (OUP)  (4)
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  • 1
    In: International Journal of Epidemiology, Oxford University Press (OUP), Vol. 49, No. 6 ( 2021-01-23), p. 1940-1950
    Abstract: The new coronavirus (COVID-19) rapidly resulted in a pandemic. We report the characteristics of patients with severe or critical severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Wuhan city, China, and the risk factors related to infection severity and death. Methods We extracted the demographic and clinical data of 7283 patients with severe COVID-19 infection from designated Wuhan hospitals as of 25 February 2020. Factors associated with COVID-19 critical illness and mortality were analysed using logistic- and Cox-regression analyses. Results We studied 6269 patients with severe COVID-19 illness and 1014 critically ill patients. The median (IQR) age was 64 (53–71) years; 51.2% were male, 38.9% were retirees and 7.4% had self-reported histories of chronic disease. Up to the end of the study, 1180 patients (16.2%) recovered and were discharged, 649 (8.9%) died and the remainder were still receiving treatment. The number of daily confirmed critical cases peaked between 23 January and 1 February 2020. Patients with advanced age [odds ratio (OR), 1.03; 95% confidence intervals (CIs), 1.03–1.04], male sex (OR, 1.57; 95% CI, 1.33–1.86) and pre-existing diabetes (OR, 2.11), hypertension (OR, 2.72), cardiovascular disease (OR, 2.15) or respiratory disease (OR, 3.50) were more likely to be critically ill. Compared with those who recovered and were discharged, patients who died were older [hazard ratio (HR), 1.04; 95% CI, 1.03–1.05] , more likely to be male (HR, 1.74; 95% CI, 1.44–2.11) and more likely to have hypertension (HR, 5.58), cardiovascular disease (HR, 1.83) or diabetes (HR, 1.67). Conclusion Advanced age, male sex and a history of chronic disease were associated with COVID-19 critical illness and death. Identifying these risk factors could help in the clinical monitoring of susceptible populations.
    Type of Medium: Online Resource
    ISSN: 0300-5771 , 1464-3685
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1494592-7
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  • 2
    In: Journal of Tropical Pediatrics, Oxford University Press (OUP), Vol. 67, No. 4 ( 2021-08-27)
    Abstract: Since coronavirus disease 2019 (COVID-19) outbreak, its terrible infectiousness has caused great panic, anxiety and poor sleep quality to the vulnerable adolescent populations. Methods This cross-sectional online survey recruited 10 569 Chinese junior and senior high school adolescents during 31 January to 9 February 2020. Basic socio-demographic information, Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale (SAS) and Fear of negative evaluation (FNE) were included in the survey. The χ2 and logistic regression analyses were used to identify factors correlated with poor sleep quality. Results The prevalence of poor sleep quality was 18.6% in the Chinese adolescent population. The average score of PSQI was 3.39 (SD = 2.64), which was significantly correlated with scores for anxiety (r = 0.50, p & lt; 0.01), and FNE (r = 0.36, p & lt; 0.01). Adjusted logistic regression indicated that gender (females) and education (senior high school) were associated with poor sleep quality, while living in Hubei Province and time spent on the COVID-19 information were inversely associated with poor sleep quality. Having a family member or friend infected/suspected and spending time on electronics were associated with higher odds of having poor sleep quality. Adolescents with anxiety were 8 times, and those with FNE were three times more likely than ones without anxiety or FNE to have poor sleep quality. In addition, the number of meals, exercise time and diet quality were also significantly associated with sleep quality. (p & lt; 0.05). Conclusions Poor sleep quality was common during the COVID-19 pandemic in Chinese adolescents. Understanding several factors associated with the poor sleep quality will offer some important insights into determining potential interventions to improve sleep quality during the COVID-19 pandemic.
    Type of Medium: Online Resource
    ISSN: 0142-6338 , 1465-3664
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1497447-2
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  Nicotine & Tobacco Research Vol. 23, No. 12 ( 2021-11-05), p. 1987-1994
    In: Nicotine & Tobacco Research, Oxford University Press (OUP), Vol. 23, No. 12 ( 2021-11-05), p. 1987-1994
    Abstract: Quitting smoking usually results in weight gain, rising the concern that weight gain after smoking cessation may attenuate the benefits of smoking quitting on cardiovascular health. Aims and Methods We aimed to examine the risk of cardiovascular disease (CVD) among smoking quitters compared with smokers, stratified by post-cessation weight change. We searched PubMed, Scopus, and Web of Science for eligible studies published before September 2020. Cohort studies examining the relative risk of CVD among smoking quitters stratified by post-cessation weight change, with smokers being treated as the reference, were included. Two investigators extracted the key characteristics of each included study using a standard electronic form. Results We identified nine studies for this meta-analysis. Compared with smokers, the pooled RRs (95% confidence interval) of CVD among quitters with weight gain and among those without were 0.74 [0.66, 0.83] and 0.86 [0.80, 0.92] , with no evidence of heterogeneity between studies being observed. Moreover, the associations appeared to be significantly stronger among quitters with weight gain than those without, particularly in the analysis of coronary heart disease (CHD) and stroke (pooled RRs = 0.65 [0.59, 0.71] vs. 0.79 [0.71, 0.88] for CHD and 0.67 [0.62, 0.73] vs. 0.76 [0.72, 0.81] for stroke, respectively; p for interaction & lt;.05). Conclusions Smoking cessation was associated with a significantly lower risk of CVD and all-cause mortality, regardless of post-cessation weight gain. A greater risk reduction among quitters with weight gain than those without merits further investigations. Implications Quitting smoking usually results in weight gain and increases the risk of type 2 diabetes. We found that the risk reduction in CVD and all-cause mortality associated with smoking cessation was greater in quitters with weight gain than that in quitters without, especially in CHD and stroke. Despite weight gain and increased risk of type 2 diabetes, quitting smoking remains effective in the prevention of CVD.
    Type of Medium: Online Resource
    ISSN: 1469-994X
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2020202-7
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  • 4
    In: International Journal of Epidemiology, Oxford University Press (OUP), Vol. 50, No. 2 ( 2021-05-17), p. 700-700
    Type of Medium: Online Resource
    ISSN: 0300-5771 , 1464-3685
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1494592-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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