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Objective@#To evaluate the status and influencing factors of the mental health of patients with COVID-19 during isolation treatment.@* Methods@#From February 2nd to 16th, 2020, 106 COVID-19 patients were anonymously investigated for their mental health status using onlinequestionnaires (including Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale-7, Patient Health Questionnaire-15 scales). The patients were from Tongji Hospital Affiliated to Tongji Medical College ofHuazhong University of Science and Technology. After data processing, SPSS19.0 was used for statistical analysis.@* Results@#Of the 106 COVID-19 patients, 46 were male and 60 were female, with an age of (35.90±11.92) years. The detection rates of depression, anxiety and somatic symptoms in those patients were 49.06% (52/106) , 56.60% (60/106) and 69.81% (74/106) respectively. The severe cases of depression (scale score greater than 19) , anxiety (scale score greater than 14) and somatic symptoms (scale score greater than 14) accounted for 9.43% (10/106) , 15.09% (16/106) and 20.75% (22/106) respectively. In addition, 67.92% (72/106) of the patients had sleep problems, 24.53% (26/106) had self-mutilating or suicidal thoughts, and 28.30% (30/106) required psychological counseling—all of which were at significantly higher percentages than those of the general population. Only 39.62% (42/106) of the examined patients had neither deression nor anxiety. By using the non-parametric test of rank conversion for analysis, and the results showed that both married patients and nucleic-acid-positive patients had more severe depressions, and both married patients and anoxemicpatients had more severe somatic symptoms.@*Conclusion@#This mental health assessment showed that depression, anxiety, and various somatic symptoms exist among the COVID-19 patients, and therefore early identification and intervention should be conducted to avoid extreme events such asself-mutilating or suicidal impulsivity, with a greater focus on both married patients and patients with severe symptoms.
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Objective:To evaluate the status and influencing factors of the mental health of patients with COVID-19 during isolation treatment.Methods:From February 2nd to 16th, 2020, 106 COVID-19 patients were anonymously investigated for their mental health status using online questionnaires (including Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale-7, Patient Health Questionnaire-15 scales). The patients were from Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. After data processing, SPSS19.0 was used for statistical analysis.Results:Of the 106 COVID-19 patients, 46 were male and 60 were female, with an age of (35.90±11.92) years. The detection rates of depression, anxiety and somatic symptoms in those patients were 49.06% (52/106) , 56.60% (60/106) and 69.81% (74/106) respectively. The severe cases of depression (scale score greater than 19) , anxiety (scale score greater than 14) and somatic symptoms (scale score greater than 14) accounted for 9.43% (10/106) , 15.09% (16/106) and 20.75% (22/106) respectively. In addition, 67.92% (72/106) of the patients had sleep problems, 24.53% (26/106) had self-mutilating or suicidal thoughts, and 28.30% (30/106) required psychological counseling-all of which were at significantly higher percentages than those of the general population. Only 39.62% (42/106) of the examined patients had neither deression nor anxiety. By using the non-parametric test of rank conversion for analysis, the results showed that both married patients and nucleic-acid-positive patients had more severe depressions, and both married patients and anoxemic patients had more severe somatic symptoms.Conclusion:This mental health assessment showed that depression, anxiety, and various somatic symptoms exist among the COVID-19 patients, and therefore early identification and intervention should be conducted to avoid extreme events such as self-mutilating or suicidal impulsivity, with a greater focus on both married patients and patients with severe symptoms.
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Objective@#To analyze the influence of atmospheric particulate matters (PM2.5 and PM10) on low-birth-weight (LBW) infants at different periods of gestation.@*Methods@#We conducted a systematic literature search for 2 471 articles related to particulate matter and LBW published from January 1st 2000 to January 1st 2016 using the PubMed, Cochrane Library, Web of Science, Science Direct, Chinese Web of Knowledge, Wanfang and Weipu, and the keywords were" air pollution" , "adverse birth outcomes" , "adverse pregnancy outcomes" , "low birth weight/LBW" . According to criteria, 27 literatures were selected and included. Metafor package of the R 3.1.1 Software was used to check the heterogeneity and merge the effect value of the selected literatures, and sensitivity analysis and publication bias were detected and adjusted.@*Results@#A total of 2 471 studies selected form the databases, 27 enrolled in this analysis according to the inclusion and exclusion criteria. Each 10 μg/m3 increase in PM2.5 was associated with combined OR values of 1st trimester, 2nd trimester, 3rd trimester and entire gestation at 1.02(95% CI: 0.87-1.19), 1.03 (95% CI: 0.91-1.16) , 1.07 (95%CI: 1.04-1.11) and 1.09 (95%CI: 1.04-1.15), respectively. And 10 μg/m3 increase in PM10 was associated with combined OR values of 1st trimester, 2nd trimester, 3rd trimester and entire gestation at 1.66 (95%CI: 1.06-2.61), 1.58 (95%CI:1.28-1.95) , 1.38 (95%CI: 1.23-1.56) and 1.04 (95%CI: 0.99-1.09), respectively. After adjusting the bias of publication, each 10 μg/m3 increase in PM2.5 was associated with the risk of low birth weight at 1.11 (95%CI: 1.02-1.21).@*Conclusion@#This meta analysis supports an adverse impact of maternal exposure to particulate air pollution on low birth weight, varying in effects by exposure period.
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<p><b>OBJECTIVE</b>Using time-series analyses to determine the association between ambient air pollution and stroke mortality in Jiang'an District of Wuhan, China from 2003 to 2010.</p><p><b>METHODS</b>Data on daily stroke mortality for the period 2003 January 1 to 2010 December 31 was obtained from Jiang'an District Center for Disease Control and Prevention, Wuhan and data on relevant air pollution and meteorological factors from the local municipal environmental monitoring center and meteorology bureau of Wuhan, respectively. Application of a time-series analysis in generalized additive model was applied to evaluate the association between air pollution and stroke mortality.</p><p><b>RESULTS</b>Annual average concentrations of PM10, SO(2) and NO(2) during the study period were (115.0 ± 60.0), (50.2 ± 33.7), and (57.6 ± 25.3) µg/m³ respectively. The total stroke death was 9 204, including 4 495 women, and 7 628 people aged over 65-years old. In single-pollutant model, a 10 µg/m³ increase in previous day (lag 1 d) ambient pollutants was associated with 0.67% (95% CI: 0.25%-1.10%) excess risk in stroke mortality for PM10, 0.87% (95% CI: 0.13%-1.63%) excess risk for SO(2) and 2.07% (95% CI: 1.08%-3.07%) excess risk for NO(2), respectively. When co-pollutants were involved into the models, only NO(2) remained strongly associated with stroke mortality (β = 2.07, 95% CI: 1.08-3.07, P < 0.001). A 10 µg/m³, increase of NO(2) in lag 1 d was associated with 1.77% (95% CI: 0.54%-3.01%), 2.27% (95% CI: 0.98%-3.57%) and 2.00% (95% CI: 0.59%-3.43%) excess risk in stroke mortality, respectively, after adjusting for PM10, SO(2)th PM10 and SO(2) e-specific and gender-specific analyses showed that the association between ambient air pollution and stroke mortality was stronger in the elderly (≥ 65 years old) people and women. A 10 µg/m, increase of PM10, SO(2) NO(2) in lag 1 d was associated with excess stroke mortality of 0.97% (95% CI: 0.37%-1.57%), 1.73% (95% CI: 0.69%-2.78%) and 2.98% (95% CI: 1.59%-4.39%) for women, respectively and 0.94% (95% CI: 0.47%-1.42%), 1.06% (95% CI: 0.23%-1.90%) and 2.50% (95% CI: 1.40%-3.62%) for the elderly people (> 65 years old), respectively.</p><p><b>CONCLUSION</b>PM10 and gaseous pollutants (SO(2), NO(2)) were significant risk factors for acute stroke death, and people aged over 65-years old and women were more susceptible to the effect of ambient pollutants on stroke mortality.</p>