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      Air Pollution and Performance-Based Physical Functioning in Dutch Older Adults

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          Abstract

          Background:

          Functional limitations are a major cause for needing care and institutionalization among older adults. Exposure to air pollution has been suggested to be associated with increased functional limitations in older people.

          Objective:

          Our objective was to assess the association between air pollution and physical functioning in Dutch older adults.

          Methods:

          We analyzed data on performance-based (walking speed, ability to rise from a chair, putting on and taking off a cardigan, balance test) and self-reported physical functioning for 1,762 participants of the Longitudinal Aging Study Amsterdam, who participated in measurement cycles performed in 2005/2006, 2008/2009, and 2011/2012. Annual average outdoor air pollution concentrations [nitrogen dioxide ( NO 2 ), nitrogen oxides ( NO x ), particulate matter with diameters 2.5 μ m ( PM 2.5 ), 10 μ m ( PM 10 ), and 2.5 10 μ m ( PM coarse ), and PM 2.5 absorbance] at the home address at the start of the first measurement cycle were estimated using land-use regression models. Analyses were performed using mixed models with random participant intercepts adjusting for potential confounders.

          Results:

          Exposure to most air pollutants was associated with reduced performance-based physical functioning; for example, an interquartile range increase in NO 2 exposure was associated with a 0.22 (95% confidence interval: 0.03, 0.42) lower performance test score in fully adjusted models, equivalent to the difference in performance score between participants who differed by 9 mo in age. Exposure to air pollution was generally not statistically significantly associated with self-reported functional limitations, and not associated with a faster decline in performance-based physical functioning over the study period.

          Conclusion:

          This study suggests that exposure to air pollution may adversely affect physical performance of older adults in the Netherlands. https://doi.org/10.1289/EHP2239

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          Most cited references28

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          Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability.

          Functional assessment is an important part of the evaluation of elderly persons. We conducted this study to determine whether objective measures of physical function can predict subsequent disability in older persons. This prospective cohort study included men and women 71 years of age or older who were living in the community, who reported no disability in the activities of daily living, and who reported that they were able to walk one-half mile (0.8 km) and climb stairs without assistance. The subjects completed a short battery of physical-performance tests and participated in a follow-up interview four years later. The tests included an assessment of standing balance, a timed 8-ft (2.4-m) walk at a normal pace, and a timed test of five repetitions of rising from a chair and sitting down. Among the 1122 subjects who were not disabled at base line and who participated in the four-year follow-up, lower scores on the base-line performance tests were associated with a statistically significant, graduated increase in the frequency of disability in the activities of daily living and mobility-related disability at follow-up. After adjustment for age, sex, and the presence of chronic disease, those with the lowest scores on the performance tests were 4.2 to 4.9 times as likely to have disability at four years as those with the highest performance scores, and those with intermediate performance scores were 1.6 to 1.8 times as likely to have disability. Among nondisabled older persons living in the community, objective measures of lower-extremity function were highly predictive of subsequent disability. Measures of physical performance may identify older persons with a preclinical stage of disability who may benefit from interventions to prevent the development of frank disability.
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            Development of Land Use Regression models for PM(2.5), PM(2.5) absorbance, PM(10) and PM(coarse) in 20 European study areas; results of the ESCAPE project.

            Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use) were evaluated to model spatial variation of annual average concentrations for each study area. The median model explained variance (R(2)) was 71% for PM(2.5) (range across study areas 35-94%). Model R(2) was higher for PM(2.5) absorbance (median 89%, range 56-97%) and lower for PM(coarse) (median 68%, range 32- 81%). Models included between two and five predictor variables, with various traffic indicators as the most common predictors. Lower R(2) was related to small concentration variability or limited availability of predictor variables, especially traffic intensity. Cross validation R(2) results were on average 8-11% lower than model R(2). Careful selection of monitoring sites, examination of influential observations and skewed variable distributions were essential for developing stable LUR models. The final LUR models are used to estimate air pollution concentrations at the home addresses of participants in the health studies involved in ESCAPE.
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              Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – The ESCAPE project

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                Author and article information

                Journal
                Environ Health Perspect
                Environ. Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                19 January 2018
                January 2018
                : 126
                : 1
                : 017009
                Affiliations
                [ 1 ]Department of Environmental Health, Communal Health Service for the Province of Utrecht , Zeist, Netherlands
                [ 2 ]Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
                [ 3 ]Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht , Utrecht, Netherlands
                [ 4 ]Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Centre , Amsterdam, Netherlands
                [ 5 ]Academic Medical Center, University of Amsterdam , Amsterdam, Netherlands
                [ 6 ]Department of Public Health, Amsterdam Public Health Research Institute , Amsterdam, Netherlands
                Author notes
                Address correspondence to U. Gehring, Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD Utrecht, Netherlands. Telephone: 31 (0) 30 253 9486. Email: u.gehring@ 123456uu.nl
                Article
                EHP2239
                10.1289/EHP2239
                6014703
                29364820
                516a8cf1-4344-45fb-a5ba-df006a724404

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 23 May 2017
                : 10 December 2017
                : 11 December 2017
                Categories
                Research

                Public health
                Public health

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