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1.
J Epidemiol Glob Health ; 12(4): 390-399, 2022 12.
Article in English | MEDLINE | ID: mdl-36070175

ABSTRACT

BACKGROUND: Mobile phones are widely used in clinical settings and could be colonized by potential pathogenic bacteria which may lead to hospital-acquired infections (HAIs) transmission. This study aimed to determine the prevalence of bacterial contamination of healthcare workers' (HCWs) mobile phones, identify bacterial isolates, and assess the factors associated with mobile phone contamination. METHODS: Self-administered questionnaire was used to collect the information on the demographic characteristics and the use of mobile phones. A total of 111 HCWs' hands and their mobile phones were swabbed, then bacterial culture, isolation, and identification were performed. Univariate and multivariable logistic regression were applied to identify factors associated with mobile phone bacterial contamination. RESULTS: Totally 106 (95.5%) of the 111 mobile phones investigated were contaminated with bacteria. Staphylococcus epidermidis (13/111), Acinetobacter baumannii (4/111) and Staphylococcus aureus (3/111) were the predominant bacterial isolates from HCWs' mobile phones. Univariate analyses showed that age, gender, profession and the frequency of mobile phone utilization were significantly associated with the number of bacterial colonization. Frequency of phone utilization (OR 8.366; 95% CI 1.496-46.797) was found to be the most significant factors associated with the qualified rate of mobile phones bacterial load. In addition, phone cover using was associated with the increased risk of mobile phone bacterial contamination. CONCLUSION: There was cross-contamination between hands and phones. It is necessary to develop guidelines for mobile phone cleaning. Special attention needs to be paid to the disinfection of mobile phone covers to reduce contamination and transmission of pathogens.


Subject(s)
Cell Phone , Cross Infection , Humans , Hospitals, Municipal , Cross Infection/epidemiology , Cross Infection/prevention & control , Cross Infection/microbiology , Health Personnel , Bacteria
2.
Environ Res ; 212(Pt B): 113220, 2022 09.
Article in English | MEDLINE | ID: mdl-35398083

ABSTRACT

Atrial fibrillation (AF) is the most common sustained heart rhythm disorder associated with high mortality and morbidity. Limited studies have been conducted to assess the relationship between short-term exposure to ambient air pollution and AF attacks. This study aimed to explore the association between short-term ambient nitrogen dioxide (NO2) exposure and outpatient visits for AF in Xi'an, China. Data on daily AF outpatient visits and air pollutants from 2013 to 2019 (2555 days) were obtained. A time-series approach using over-dispersed Poisson generalized additive model (GAM) was employed, and stratified analyses were performed to investigate the potential modifying effects by season, age, and gender. A total of 8307 outpatient visits for AF were recorded. Increased levels of NO2 were associated with increased AF outpatient visits, and the most significant effect estimates were observed at lag 03: A 10 µg/m3 increase of NO2 at lag 03 was related to an elevation of 5.59% (95% CI: 2.67%, 8.51%) in daily outpatient visits for AF. Stratified analyses showed that there were no gender and age difference in the effect of NO2, while more obvious association was observed in cool seasons (October to March) than in warm seasons (April to September). In summary, short-term ambient NO2 exposure can be positively associated with daily outpatient visits for AF, especially in cool seasons. This work provided novel data that the association between air pollutants and AF can vary by seasons, further supporting that the prevention of cardiovascular health effects should be strengthened in winter.


Subject(s)
Air Pollutants , Air Pollution , Atrial Fibrillation , Air Pollutants/analysis , Air Pollutants/toxicity , Air Pollution/adverse effects , Air Pollution/analysis , Atrial Fibrillation/chemically induced , Atrial Fibrillation/epidemiology , China/epidemiology , Hospitals , Humans , Nitrogen Dioxide/analysis , Outpatients , Particulate Matter/analysis , Seasons
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