空气污染对儿童肺功能指标影响的初步分析

报告中国 4城市 8所小学儿童肺功能指标受室外空气污染影响的结果。以 FVC/预测值 (85% )、FEV1 /预测值(85% )、FEV1 / FVC(实测值之比 ) (80 % )作为判断肺功能指标异常的参考标准 ,并将 8所小学按污染程度分为污染严重和污染较轻两类三组。污染严重组儿童肺功能指标的异常率均比污染较轻组要高。空气的严重污染 ,可使儿童肺功能FVC、FEV1 、FEV1 / FVC异常率的危险程度分别增高 3 0 %～ 78%、52 %～ 86%和 1 0 2 %～ 1 2 7%。异常组儿童的 FVC、FEV1 的平均值约下降 3 3 0～ 4 60 ml,FEV1 / FVC平均值约下降 1 3 %～ 1 5%。说明空气的严重污染对儿童肺功能生长发育可能有不利影响     

学龄儿童肺功能水平影响因素的研究

用逐步回归分析方法对与室内、外空气污染和机体状况等有关的因素对广州市学龄儿童肺功能 (FVC、FEV1 、PEFR和 FEF2 5～ 75 )水平的影响进行研究。结果提示 ,影响肺功能水平的主要因素是内因 ,身高的影响最明显 ,呼吸系统疾病或症状发生与肺功能水平下降有关 ;室外空气污染使肺功能水平下降 ,SO2 、NOx 和 PM2 .5 的影响明显 ,PM2 .5 的影响明显大于 PM1 0 和 TSP;居室或厨房通风不良、家庭烹饪用不洁燃料对儿童肺功能的生长不利 ;被动吸烟对女性儿童肺功能有不利影响。对各种影响因素 ,PEFR和 FEF2 5～ 75 比 FVC和 FEV1 更为敏感     

儿童肺功能指标测量方法比较及异常值的探讨

比较了儿童肺功能机读数据与人工手测数据 ,并应用统计学原理探讨了适合于研究空气污染暴露与儿童肺功能健康关系的 FVC实测值 /预计值 (% )、FEV1 实测值 /预计值 (% )、FEV1 /FVC(% )这三种肺功能指标的异常值分界线。得出 FVC或 FEV1 实测值 /预计值 (% )的异常值范围为 <85% ,FEV1 /FVC(% )的异常值范围为 <80 %     

重庆大气污染与儿童肺功能横截面研究

1995年 ,在重庆市城区及远郊区进行了儿童家庭问卷调查、气溶胶 (PM1 0 、PM2 .5 )及 SO2 的测试 ,并在两个点 (城区华新小学 ,远郊北碚红岩小学 )进行二次儿童肺功能的测定。通过城区和郊区 3 53 6例 (其中男性 1 74 4例 ,女性 1 792例 )儿童肺功能数据的比较 ,说明重庆大气污染 ,特别是气溶胶的污染已影响到儿童肺功能。与美国比较 ,重庆儿童较美国的儿童肺功能 (FVC,FEV1 )要低 9%～ 1 4 %。同时得到青春前期 (7～ 1 4岁 )儿童肺功能 (FVC,FEV1 )的参考值的计算公式     

重庆大气环境质量与儿童肺功能的前瞻性研究

在两年半期间内 ,对污染程度不同的两地进行了 5次青春期前期儿童 (7～ 1 2岁 ) 4 57例肺功能 (FVC,FEV1 ,PEFR,FEF2 5～ 75 )生长速率的观测及生长状况的比较分析得出 ,两地儿童身高和体重的生长曲线无明显差异 ,而肺功能的生长速率则有明显的差异 ,勿论男女、同年龄的儿童肺功能增长速率污染区要低于对照区     

大气污染与儿童肺功能的典型相关分析

在 1 994～ 1 996年间 ,对污染点和对照点 (相对清洁点 )同时进行了大气污染 (气溶胶 ,二氧化硫等 )和儿童肺功能 (FVC,FEV1 ,FEF2 5～ 75 等 )的测定。对它们之间的关系进行了典型相关分析 ,其结果是肺功能指标和大气污染物呈负相关。统计分析提示污染点与对照点儿童肺功能的差别主要是由于大气污染 (气溶胶 )造成的 ,特别是 PM2 .5 的细粒子造成的。     

室外空气污染对成人呼吸系统健康影响的分析

报告在广州、武汉、兰州、重庆市 8所小学共 80 0 0余名学生父母患呼吸系统疾病的病症率受空气污染影响的分析结果。每个城市城区污染点的成人感冒咳嗽和咳痰、未感冒咳嗽和咳痰、支气管炎等病症的发生率均高于相应城市的郊区对照点 ,且男性比女性更高。呼吸系统的病症率与空气 PM1 0 、PM2 .5 污染呈正相关。调整了混杂因子的影响后 ,这种相关关系仍保持不变。结论是 :空气中 PM1 0 的污染与成人 (男女 )的感冒或未感冒时咳嗽、男性未感冒时咳痰、哮喘、支气管炎有明显正相关关系 ;空气 SO2 污染与成人 (男女 )感冒时咳嗽、咳痰呈显著正相关 ;空气中 NOx 污染对成人呼吸系统病症率的影响相对较弱     

2017—2019年扬州市大气污染物与儿童呼吸系统门诊量的时间序列分析

收集扬州市2017—2019年大气污染物细颗粒物(PM_(2.5))、二氧化硫(SO_2)、二氧化氮(NO_2)和臭氧(O_3)的日均质量浓度、气象因素(日均温度、相对湿度)以及每日儿童呼吸系统门诊量数据,运用广义相加模型(GAM)进行单污染物和多污染物分析。结果表明,单污染物分析中,大气污染物的质量浓度累积滞后效应均大于单独滞后效应。ρ(PM_(2.5))、ρ(SO_2)和ρ(NO_2)对儿童呼吸系统门诊量影响效应均在累积滞后7 d(lag 07)达到最大值,ρ(O_3)在累积滞后6 d(lag 06)达到最大值。表现为ρ(PM_(2.5))、ρ(SO_2)和ρ(NO_2)在lag 07时,每升高10μg/m~3,儿童呼吸系统门诊量超额危险度分别为0.720%[95%置信区间(95%CI):0.346%～1.095%]、6.955%(95%CI:5.197%～8.743%)和2.133%(95%CI:1.516%～2.754%);ρ(O_3)在lag 06时,每升高10μg/m~3,儿童呼吸系统门诊量超额危险度为1.160%(95%CI:0.873%～1.447%)。多污染物分析中,当引入所有污染物(SO_2+NO_2+O_3)时,PM_(2.5)对儿童呼吸系统门诊量风险影响消失。大气污染物浓度的升高会增加儿童呼吸系统疾病的发生风险,并且其影响存在一定的滞后效应,有必要开展有针对性的大气污染物与儿童呼吸系统疾病的预警研究,保护易感人群,合理分配卫生资源。     

番红花红T紫外分光光度法测定微量亚硝酸盐氮

1实验方法 :于 2 5ml比色管中加 5μg亚硝酸盐氮标准使用液 ( 5.0 μg/ml)、2 .0 ml1 .0× 1 0 -3mol/L 番红花红 T、4 .0 ml2 .0 mol/L 缓冲溶液( H2 SO4) ,用水定容 ,摇匀。放置 1 0 min,用 1 cm比色皿以试剂空白为参比在 365nm处测吸光度 ,吸光值至少在 1 h内保持恒定。 2变异系数 0 .59%～ 1 .35% ,加标回收率 98.2 %～ 1 0 0 .4 %。 3亚硝酸盐氮在 0～ 1 0 .0 μg/2 5ml内符合比耳定律 ,表观摩尔吸光系数 3.1× 1 0 4L/mol· cm,回归方程y=0 .0 2 67c 0 .0 0 2 ,相关系数 r=0 .9992 ,结果满意。番红花红T紫外分光光度法测定微量亚…     

空气细颗粒物(PM2.5)污染特征及其毒性机制的研究进展

细颗粒物(PM2.5)是指空气动力学直径≤2.5μm的颗粒物,其表面吸附大量的有毒有害物质,并可通过呼吸沉积在肺泡,甚至可通过肺换气到达其他器官.由于细颗粒物的重要性,美国EPA已经于1997年颁布了细颗粒物的空气质量标准,年均值为0.015mg/m3,日均值为0.065mg/m3,然而我国至今仍未制定细颗粒物空气质量标准.颗粒物上吸附的化学组分主要可分成自然来源及燃煤或燃油等人为污染来源两大类,特别是来自工业性和居住区燃煤及汽车燃油尾气.空气细颗粒物污染表现为形态各异、成分复杂等特征.细颗粒物有明显的毒性作用,可引起机体呼吸系统、免疫系统等较为广泛的损害.细颗粒物与心肺疾病密切相关,如增加入院率、急诊次数、呼吸疾病及症状增加、肺功能下降,甚至于过早死亡.简要概述了细颗粒物的污染特征及其毒性机制研究进展.     

Indoor air in schools and lung function of Austrian school children

The Children's Environment and Health Action Plan for Europe (CEHAPE) of WHO focuses (inter alia) on improving indoor environments where children spend most of their time. At present, only little is known about air pollution in schools and its effect on the lung function of school children. Our project was set up as an Austrian contribution to CEHAPE. In a cross-sectional approach, differences in indoor pollution in nine elementary all-day schools were assessed and 34 of these pollutants were analyzed for a relationship with respiratory health determined by spirometry using a linear regression model. Overall 596 children (aged 6-10 years) were eligible for the study. Spirometry was performed in 433 children. Socio-economic status, area of living (urban/rural), and smoking at home were included in the model as potential confounders with school-related average concentration of air pollutants as the variable of primary interest. A negative association with flow volumes (MEF(75)) was found for formaldehyde in air samples, benzylbutylphthalate and the sum of polybrominated diphenylethers in school dust. FVC and FEV(1) were negatively associated with ethylbenzene and xylenes in air samples and tris(1,3-dichlor-2-propyl)-phosphate on particulates. Although, in general, the quality of school indoor air was not worse than that reported for homes, effects on the respiratory health of children cannot be excluded. A multi-faceted strategy to improve the school environment is needed.     

室内燃煤取暖与烟雾程度对呼吸道健康的影响研究

在儿童家庭调查问卷的基础上 ,报告室内燃煤取暖与烟雾污染程度对呼吸系统病症的影响。结果表明家庭燃煤取暖与否、室内空气烟雾程度对儿童及其父母的呼吸系统健康有不利的影响     

儿童的形态发育和肺功能生长

根据中国 4城市 8所小学儿童的调查研究结果 ,报告了在不同环境条件下 ,儿童体格和肺功能发育的基本情况 ,并试图从营养条件和空气污染两个方面对儿童肺功能发育情况进行解释。研究指出营养条件和空气污染对儿童肺功能的影响作用相反。两种相反的作用互相抵消了一部分影响 ,可能是造成了儿童肺功能波动的原因。空气污染严重、营养条件较差 ,二者均可使肺功能指标下降。有一定的空气污染、营养条件又好 ,肺功能指标可能相对较高 ,因此营养条件可能是研究空气污染对儿童肺功能影响的一个较为重要的混杂因子     

影响儿童呼吸系统病症的混杂因子分析

利用 Logistic回归分析 ,对影响儿童呼吸系统病症的混杂因子进行了分析 ,并在控制了混杂因子后 ,对比数比值(OR)进行了比较 ,发现双亲哮喘和双亲气喘、室内烟雾程度和家长做饭时眼部受刺激频率等因子与儿童呼吸系统健康有比较强的统计关联     

兰州市空气污染对儿童肺功能影响的前瞻性研究

从不同的角度阐述了室内外空气污染对儿童肺功能 ,特别是小气道功能的影响及其影响程度的前瞻性研究结果。并通过多因素、多指标的综合分析 ,揭示了一些影响儿童肺功能的主要因素。指出了从保护人体健康的角度来说 ,好的环境空气质量和良好的室内空气质量同样重要     

Air pollution and diseases of the respiratory tracts in pre-school children: A transfer function model

The purpose of the present statistical analysis was the assessment of the relation between time series of environmental factors and of frequencies of diseases of the respiratory system in pre-school children. During about one year, daily measurements of air pollutants and climatic variables were taken. During the same period of time two series of medical data were collected: (i) The daily relative number of pre-school children, exhibiting diseases of the respiratory tracts who either came to the outpatients' clinic of the children's hospital or were reported by paediatricians in Basle (ENTRIES). (ii) The daily relative frequency of symptoms of the respiratory tracts observed in a group of randomly selected pre-school children (SYMPTOMS).By means of transfer function models the relation between the two target variables and the explaining variables was analysed. Several practical problems did arise: Choice of the appropriate transformation of the different series, interpretation of the crosscorrelation function using different methods of prewhitening, time splitting and nonstationarity of the crosscorrelation structure. In particular, it was found that after prewhitening the crosscorrelation function between the explanatory series SO₂ and the response series SYMPTOMS changes with time. While during the winter period an instantaneous relation between these two series (and to a lesser extent between NO₂ and SYMPTOMS) was identified, no such relation was found for the other seasons.     

Exposure and inhalation risk assessment in an aluminium cast-house

To date the exposure, absorption and respiratory health effects of cast-house workers have not been described since most studies performed in the aluminium industry are focused on exposure and health effects of potroom personnel. In the present study, we assessed the external exposure and the absorbed dose of metals in personnel from the aluminium cast house. This was combined with an evaluation of respiratory complaints and the lung function of the personnel. 30 workers from an aluminium casting plant participated and 17 individuals of the packaging and distribution departments were selected as controls. The exposure was assessed by the quantification of total inhalable fume with metal fraction and by the determination of urinary aluminium, chromium, beryllium, manganese and lead concentration. Carbon monoxide (CO), carbon dioxide (CO2), aldehydes and polyaromatic hydrocarbons and man-made mineral fibres concentration were assessed as well. In order to evaluate their respiratory status each participant filled out a questionnaire and their lung function was tested by forced spirometry. Total inhalable fume exposure was maximum 4.37 mg m(-3). Exposure to the combustion gases, man-made mineral fibres and metal fume was well below the exposure limits. Beryllium could not be detected in the urine. The values of aluminium, manganese and lead in the urine were all under the respective reference value. One individual had a urinary chromium excretion above the ACGIH defined biological exposure index (BEI) of 30 microg g(-1) creatinine. There was no significant difference in any of the categories of the respiratory questionnaire and in the results of the spirometry between cast house personnel and referents (Chi-square, all p > 0.05). Exposure in cast houses seem to be acceptable under these conditions. However, peak exposure to fumes cannot be excluded and the potential risk of chromium and beryllium exposure due to the recycling of aluminium requires further attention.