The objective of this study is to investigate the cardiopulmonary health effects of indoor air purification and different indoor environmental factors among school students in Beijing.
This randomized, double-blind crossover study was conducted to explore the cardiopulmonary effects of ionization air purification among 48 children in Beijing. Real or sham purification was performed in classrooms for 5 weekdays in a random order with a 2-month wash-out period. During the study periods, different indoor environmental factors were monitored including size-fractionated particulate matter (PM), black carbon (BC), ozone, carbon dioxide (CO2), negative air ions (NAI), noise, temperature and relative humidity, which were controlled as confounders in the analysis of the effects of indoor air purification. In addition, we analyzed the cardiopulmonary effects of those environmental factors on the children.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
48
active- or sham-mode air purifier used in 6 classrooms in a school with a crossover design
School of Pubic Health, Peking University
Beijing, Beijing Municipality, China
Levels of lung function indicators
Lung function test was conducted including forced expiratory volume in one second (FEV1) and peak expiratory flow (PEF).
Time frame: 10 weekdays for intervention (active or sham) and 2 wash-out months
Changes in autonomic cardiac function
Ambulatory electrocardiogram (ECG) was monitored including heart rate (HR) and heart rate variability (HRV).
Time frame: 10 weekdays for intervention (active or sham) and 2 wash-out months
Level of respiratory inflammation
Fractional exhaled nitric oxide (FeNO) test was conducted.
Time frame: 10 weekdays for intervention (active or sham) and 2 wash-out months
Changes in ST-segment elevation
Ambulatory electrocardiogram (ECG) was monitored.
Time frame: 10 weekdays for intervention (active or sham) and 2 wash-out months
Levels of oxidative stress in Exhaled Breath Condensate (EBC)
EBC was collected using a designated device for oxidative stress analysis.
Time frame: 10 weekdays for intervention (active or sham) and 2 wash-out months
Levels of urinary metabolomics
Urine samples were collected for metabolomics analysis.
Time frame: 10 weekdays for intervention (active or sham) and 2 wash-out months
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