Time-series Study On The Effect Of Particulate Matters And Acne During Dust Weather In Lanzhou

Objective:To study the impact of atmospheric particulates(PM_2.5,PM_C,PM₁₀)on the daily outpatient visits for acne during dust weather and non-dust weather in Lanzhou,and conduct a gender and age stratification study to screen sensitive populations.Methods:This study collected data on the concentration of particulate matters,i.e.,PM_2.5,PM_C,PM₁₀,as well as the corresponding meteorological data and the outpatient data of visits due to acne at 3first-class grade three hospitals during dust weather and non-dust weather in Lanzhou between 2013 to 2019,the relationship between particulate matters concentration and daily outpatient visits due to acne and its lagging effect were analyzed using distributed lag non-linear model（DLNM）based on Poisson distribution to constrain meteorological factors,seasonal and long-term trends,the day of week effect and other confounding factors.Result:1.During the dust weather,the average daily outpatient visits due to acne at 3first-class grade-three hospitals in Lanzhou was 26,ranging from 3 to 54person-times,and the average daily outpatient visits due to acne during non-dust weather was 37 visits,ranging from 1 to 89 person-times.2.The single-pollutant model shows that the effects of PM_2.5,PM_Cand PM₁₀all peaked on lag6d;for every 10μg/m³increase in their concentration,the excess risk（ER）and 95%confidence interval（95%CI）of visits for acne were 1.07（95%CI:0.26～1.88）,0.36（95%CI:0.02～0.69）,0.31（95%CI:0.05～0.57）,respectively,and PM_2.5presented the most significant effect on the outpatient visits for acne.In non-dust weather,the increase of PM_2.5,PM_C,PM₁₀concentration is negatively correlated with the daily outpatient visits due to acne.3.Analysis of different gender indicated that,PM_2.5has a statistically significant effect on women,and for every 10μg/m³increase in the concentration,the visits due to acne increased by 1.08（95%CI:0.12～2.04）.4.Analysis of different age indicated that 0-18-year-old group was significantly affected by PM_Cand PM₁₀,and the 19-24-year-old group was significantly affected by PM_2.5and PM₁₀,while no statistical significance was found in the effect of particulate matters on the 25-34-year-old group as well as the≥35-year-old group.5.In the dual/multiple-pollutant model,the optimal lag days are selected for the PM_2.5,PM_Cand PM₁₀concentrations at lag6d,and other pollutants on the same day are simultaneously introduced into the model for dual/multiple pollutant model fitting.After the inclusion of other coexisting pollutants（NO₂,SO₂,NO₂+SO₂）,the impact of atmospheric particulate matter PM_2.5,PM_C,and PM₁₀on the daily outpatient visits of acne has gradually decreased,but the correlation direction has not changed,indicating that PM_2.5,PM_C,PM₁₀.The correlation with daily outpatient visits due to acne is stable.Conclusions:1.There is a positive correlation between the outpatient visits due to acne and atmospheric particulate matter PM_2.5,PM_C,PM₁₀in dust weather in Lanzhou,and PM_2.5has the most significant impact on the daily outpatient visits due to acne.In non-dust weather,the increase of PM_2.5,PM_C,PM₁₀concentration is negatively correlated with the daily outpatient visits due to acne.2.The sensitivity of daily outpatient visits to atmospheric particulates varies among people of different genders and ages,and women and adolescents are sensitive groups.3.There is an interaction between the three atmospheric particulates of PM_2.5,PM_C,and PM₁₀on the daily outpatient visits due to acne.