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Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM2.5) and carbon dioxide (CO2) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM2.5 and CO2 concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s−1) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m−3] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m−3], the PM2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM2.5 concentration at 9 m points [(35±22) μg·m−3] was close to the background level (1.4 times higher). The maximum concentration of CO2 [(628±23) μmol·mol−1] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol−1], and there was no gradient decrease in CO2 concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m−3 (23.2%) and CO2 by 54.1 (95%CI: 53.1, 55.1) μmol·mol−1 (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM2.5 and CO2 by 2.0 (95%CI: 1.7, 2.8) μg·m−3 and 1.0 (95%CI: 0.7，1.2) μmol·mol−1, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM2.5 and CO2 at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.
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Background Public places are frequently polluted by cigarette smoking, and there is a lack of accurate, real-time, and intelligent monitoring technology to identify smoking behavior. It is necessary to develop a tool to identify cigarette smoking behavior in public places for more efficient control of cigarette smoking and better indoor air quality. Objective To construct a model for recognizing cigarette smoking behavior based on real-time indoor concentrations of PM2.5 in public places. Methods Real-time indoor PM2.5 concentrations were measured for at least 7 continuous days in 10 arbitrarily selected places (6 public service providers and and 4 office or other places) from Oct. to Nov. 2022 in Pudong New Area, Shanghai. Indoor nicotine concentrations were monitored with passive samplers simultaneously. Outdoor PM2.5 concentration data were obtained from three municipal environmental monitoring stations which were nearest to each monitoring point during the same period. Mann-Whitney U test was used to compare indoor and outdoor means of PM2.5 concentrations, and Spearman rank correlation was used to analyze indoor PM2.5 and nicotine concentrations. An interactive plot and a random forest model was applied to examine the association between video observation validated indoor smoking behavior and real-time indoor PM2.5 concentrations in an Internet cafe. Results The average indoor PM2.5 concentration in the places providing public services [(97.5±149.3) µg·m−3] was significantly higher than that in office and other places [(19.8±12.2) µg·m−3] (P=0.011). The indoor/outdoor ratio (I/O ratio) of PM2.5 concentration in the public service providers ranged from 1.1 to 19.0. Furthermore, the indoor PM2.5 concentrations in the 10 public places were significantly correlated with the nicotine concentrations (rs=0.969, P<0.001). Among them, the top 3 highly polluted places were Internet cafes, chess and card rooms, and KTV. The results of random forest modeling showed that, for synchronous real-time PM2.5 concentration, the area under the curve (AUC) was 0.66, while for PM2.5 concentration at a lag of 4 min after the incidence of smoking behavior, the AUC increased to 0.72. Conclusion The indoor PM2.5 concentrations in public places are highly correlated with smoking behavior. Based on real-time indoor PM2.5 monitoring, a preliminary recognition model for smoking behavior is constructed with acceptable accuracy, indicating its potential values applied in smoking control and management in public places.
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ObjectiveTo understand the experience， knowledge and attitudes of e-cigarette users in Shanghai， and to provide evidence for the development of intervention programs for e-cigarette use. MethodsThe Respondent-Driven Sampling （RDS） method was used to recruit 40 e-cigarette users for qualitative interviews from November 2020 to February 2021. NVivo （11.0） software was used to code interview records， and the thematic pattern and relationship analysis were conducted. ResultsIn terms of the reasons and user experience of e-cigarette use， most respondents used e-cigarettes for the first time after recommendation of friends； The reasons for the current use of e-cigarettes focus on the subjective feelings generated by the use of e-cigarettes （easy to use， replacing traditional tobacco， and having many flavors）. Compared with traditional tobacco use， respondents said e-cigarettes tasted good and had no physical impact （they could be used all the time without making them uncomfortable）. In terms of the awareness of e-cigarette use related knowledge， the respondents' opinions on whether e-cigarettes caused health risks were mostly based on their own experience of using them， and they said it was difficult to identify real information online. As for whether they were interested in relevant knowledge， most respondents said they wanted to learn about the professional knowledge related to e-cigarettes. Regarding the attitude related to the use of e-cigarettes， most respondents believed that e-cigarettes are addictive， e-cigarettes are not a safe alternative to traditional tobacco， ande-cigarettes couldn't help them quit smoking. Three out of ten respondents said they supported including e-cigarettes in the Regulation on Smoking Control in Public. ConclusionThere are certain characteristics of e-cigarette users' feelings， related knowledge and attitude towards e-cigarette use that should be targeted to carry out publicity， education and intervention.
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Objective To observe the effects of early rehabilitation training on endothelial progenitor cells (EPCs),stromal cell-derived factor alpha 1 (SDF-lα) and motor function recovery in hemiplegic patients with acute cerebral infarction.Methods Fifty hemiplegic patients after a first acute cerebral infarction were randomly divided into a control group (n =25) and an experimental group (n =25).Both groups of patients were given routine drug therapy,while the experimental group also received early rehabilitation (within 48 hours of onset).EPCs and SDF-1α levels in peripheral blood were measured before and after one week of treatment,and Fugl-Meyer assessments and modified Barthel index scoring were conducted at admission and after three months of treatment.Results There was no difference between the 2 groups before the treatment.After a week of treatment,however,the EPC and SDF-1α values of both groups had increased,with those of the experimental group increasing significantly more than in the control group.Spearman rank correlation analysis showed that the increase in EPCs was positively correlated with the SDF-1α increment in the first week.After 3 months of treatment,the average FMA and MBI results of the experimental group were significantly better than those of the control group.Conclusion Early rehabilitation training can help to further improve the recovery of motor function for hemiplegic patients after acute cerebral infarction.This may be related to its effect in upregulating the expression of SDF-1α,thus contributing to the mobilization of EPCs in the bone marrow.
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Objective To explore the effect of electroacupuncture on CD 34 +VEGFR2 +endothelial progenitor cell (EPC)-derived vessels and stromal cell-derived factor-1α(SDF-1α)/CXCR4, and study its mechanism of promoting an-giogenesis in hippocampus after focal cerebral ischemia /reperfusion .Methods A total of 180 healthy male adult Sprague Dawley (SD) rats were randomly divided into sham operation (sham) group, model (I/R) group, electroacupuncture (I/RE) group, I/RE plus AMD3100 (A specific antagonist of CXCR4) group (I/REA) and AMD3100 (I/RA) group. The rats received filament occlusion of the right middle cerebral artery for 2 hours followed by reperfusion .Electroacupunc-ture was applied to “Baihui” (GV20)/“Siguan” (Hegu LI 4/Taichong LR 3) acupoints for 30 min, once a day.The mR-NA expression of SDF-1αand CXCR4 were detected by reverse transcription-polymerase chain reaction ( RT-PCR) .Double immunofluorescence was used to stain CD 34 +VEGFR2 +EPC-derived vessels.Results Compared with the sham group, the mRNA expressions of SDF-1αand CXCR4 were significantly upregulated in I/R and I/RE group ( P<0.05 ) , but that in I/RE group was more significantly increased than I/R group(P<0.05).In addition, the mRNA expression of SDF-1αand CXCR4 were highly increased on day 1 in the I/REA group than that of I/RE group, but decreased than that of I/RE group on day 7 after reperfusion (P<0.01).CD34 +VEGFR2 +EPCs-derived vessels were obviously increased on 3d and 7d in the I/RE group compared with that of the I/R group, and significantly decreased on 7d in the I/REA group compared with that of the I/RE group ( P<0.01) .Conclusions Electroacupuncture can effectively promote an-giogenesis through upregulating the expression of SDF-1αand CXCR4 in rat ischemic hippocampus after focal cerebral is-chemia/reperfusion.