Do neighbourhood traffic-related air pollution and socio-economic status moderate the associations of the neighbourhood physical environment with cognitive function? Findings from the AusDiab study

被引:9
作者
Cerin, Ester [1 ,2 ,3 ,4 ,15 ]
Barnett, Anthony [1 ]
Wu, Yu-Tzu [5 ]
Martino, Erika [6 ]
Shaw, Jonathan E. [3 ,7 ,8 ]
Knibbs, Luke D. [9 ,10 ]
Poudel, Govinda [1 ]
Jalaludin, Bin [11 ]
Anstey, Kaarin J. [12 ,13 ,14 ]
机构
[1] Australian Catholic Univ, Mary MacKillop Inst Hlth Res, 215 Spring St, Melbourne, Vic, Australia
[2] Univ Hong Kong, Sch Publ Hlth, 7 Sassoon Rd, Hong Kong, Peoples R China
[3] Baker Heart & Diabet Inst, Melbourne, Vic, Australia
[4] UiT Artic Univ Norway, Dept Community Med, Tromso, Norway
[5] Newcastle Univ, Populat Hlth Sci Inst, Newcastle NE4 5PL, England
[6] Univ Melbourne, Sch Populat & Global Hlth, Melbourne, Vic, Australia
[7] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[8] La Trobe Univ, Sch Life Sci, Melbourne, Vic, Australia
[9] Univ Sydney, Sydney Sch Publ Hlth, Camperdown, NSW, Australia
[10] Sydney Local Hlth Dist, Publ Hlth Unit, Camperdown, NSW, Australia
[11] Univ New South Wales, Sch Populat Hlth, Randwick, NSW, Australia
[12] Univ New South Wales, Sch Psychol, Randwick, NSW, Australia
[13] Neurosci Res Australia NeuRA, Sydney, Australia
[14] UNSW Ageing Futures Inst, Sydney, Australia
[15] Australian Catholic Univ, Mary MacKillop Inst Hlth Res, Level 5,215 Spring St, Melbourne, Vic 3000, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
Walkability; Greenspace; Disadvantage; Mid-aged and older adults; Memory; Processing speed; OLDER-ADULTS; BUILT ENVIRONMENT; EXPOSURE; DEMENTIA; HEALTH; TIME; PARTICIPATION; IMPAIRMENT; DECLINE; BRAIN;
D O I
10.1016/j.scitotenv.2022.160028
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Characteristics of the neighbourhood environment, including the built and natural environment, area-level socio-economic status (SES) and air pollution, have been linked to cognitive health. However, most studies have focused on single neighbourhood characteristics and have not considered the extent to which the effects of environmental fac-tors may interact. We examined the associations of measures of the neighbourhood built and natural environment, area-level SES and traffic-related air pollution (TRAP) with two cognitive function domains (memory and processing speed), and the extent to which area-level SES and TRAP moderated the associations. We used cross-sectional data from the AusDiab3 study, an Australian cohort study of adults (mean age: 61 years) in 2011-12 (N = 4141) for which geocoded residential addresses were available. Spatial data were used to create com-posite indices of built environment complexity (population density, intersection density, non-commercial land use mix, commercial land use) and natural environment (parkland and blue spaces). Area-level SES was obtained from na-tional census indices and TRAP was based on estimates of annual average levels of nitrogen dioxide (NO2). Confounder-adjusted generalised additive mixed models were used to estimate the independent associations of the en-vironmental measures with cognitive function and the moderating effects of area-level SES and TRAP. The positive as-sociations between built environment complexity and memory were stronger in those living in areas with higher SES and lower NO2 concentrations. A positive association between the natural environment and memory was found only in those living in areas with lower NO2 concentrations and average or below-average SES. Built environment complexity and the natural environment were positively related to processing speed. Complex urban environments and access to nature may benefit cognitive health in ageing populations. For higher-order cognitive abilities, such as memory, these positive effects may be stronger in areas with lower levels of TRAP.
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页数:10
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