3. Result
3.1 Characteristics of study population
A total of 2419 samples included in the study and the characteristics of
study population listed in Table 1. The sex ratio of study population is
close to 1. The educational background of most of children’s parents are
junior high school or above. The prevalence of respiratory diseases is
14.8%. In outdoor environmental factors, the noise is the most serious.
Almost all families use fume exhauster during cooking, nearly half of
households use natural gas, and other environmental factors are exposed
in some families (Table 1). There were few differences between the
pulmonary function testing subset and larger study sample in selected
demographics, health outcome, and environmental exposures. So that the
subset can represented the study population reasonably.
3.2 Monofactor analysis of the environmental risk factors of respiratory
diseases
Significant differences were found in variables stinky ditch, garbage
station, noise, heating company, purchase furniture, passive smoking,
insecticide, anophelifuge, moth repellant and disinfectant between the
population with respiratory diseases and no
respiratory diseases
(P <0.05). (Table 2)
3.3 Multivariable analysis of the environmental risk factors of
respiratory diseases
Taking the respiratory diseases
and no respiratory diseases as the dependent variable, the significant
factors in the results of univariate analysis (stinky ditch, garbage
station, noise, heating company, purchase furniture, passive smoking,
insecticide, anophelifuge, moth repellant and disinfectant) as the
independent variables, and the multivariate logistic regression was
conducted to analyze the environmental risk factors of respiratory
diseases. The Valuation of Variables was listed in Table 3.
As shown in Table 4, we found that
garbage station, noise,heating
company, purchase furniture, passive smoking, anophelifuge and
disinfectant are risk factors of respiratory diseases
(P <0.05).
3.4. Pulmonary function under different environmental conditions
As shown in Table 5, there was significant difference in
V75 between garbage station and no garbage station, and
the V75 of garbage station was
lower than no garbage station
(P <0.05); The PEF of noise was significantly lower than
no noise (P <0.05); The FVC of children whose home is
>150m from the main traffic road was significantly higher
than <20m (P <0.05);The V25of children whose window opening in winter >3 times/week
was significantly higher than 1-3 times/week
(P <0.05);FVC were all significantly different between
passive smoking <1 day/week or passive smoking 1-2 day/week
and no passive smoking (P <0.05); FEV1of passive smoking 1-2 day/week was higher than no passive smoking
(P <0.05); The FVC, FEV1 and
V75 of electric power, liquid gas and pipe-line gas were
all higher than natural gas (P <0.05).