| Object:The built environment affects people’s health from multiple perspectives,but the research results on the relationship between the built environment and the quality of life are not consistent.Therefore,this study explored the relationship between the built environment and the quality of life,as well as the mediation effects that air pollution therein.Methods:In this study,a multi-stage sampling method was adopted to select 5196community residents over 18 years old from three cities in Liaoning Province.We collected the demographic information and quality of life of participants,as well as the the built environment and air pollution of communities.The 12-item Short Form Health Survey scale was used to evaluate the quality of life of community residents.The built environment indicators include road network density,distance from the nearest bus station,bus station density,functional mix,residential density and street connectivity,which are collected through geographic information systems.The monthly average concentration of PM10is calculated according to the data of the national monitoring sites data.The data was analyzed by IBM SPSS 22.0 and R software,and Monte Carlo was used to test the confidence interval of the mediation effect.Results:A total of 5196 residents were collected,with an average age of 55.3 years,including 1776 males and 3420 females.In the model,the individual’s Physical Component Summary(PCS)was affected by functional mix and street connectivity and residential density;Mental Component Summary(MCS)was affected by bus station density,and the models were robust.The relationship between PCS and residential density and street connectivity are different from different age,gender,BMI and chronic history.People with different ages,BMI and chronic history have different relationships between their PCS and degree of functional mix.The relationship between MCS and bus station density is different among people of different ages,and the relationship between MCS and street connectivity is different among people with or without chronic medical history.Higher residential density can increase PCS level by reducing PM10contamination level,with a suppressing effect[90%Confidence Interval,CI(0.031,0.695)];higher bus station density can reduce MCS level by increasing PM10contamination level,with an mediation effect[90%CI(-0.803,-0.050)];higher residential density can reduce PM10pollution It can increase the MCS level and has a suppressing effect[90%CI(0.483,1.954)].Conclusions:By increasing the functional mixing and street connectivity,the PCS level of the residents can be improved.And the PCS level of residents can be improved by reducing the residential density.The MCS level can be improved by reducing the density of bus stations,and air pollution is an important path for the built environment to impact on the quality of life. |