Dataset Information

PM2.5 and Cardiovascular Diseases in the Elderly: An Overview.

ABSTRACT: Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in the elderly and the ambient concentration of PM2.5 has been associated with several cardiovascular diseases.We describe the present state of planetary air pollution, analyze epidemiological studies linking PM2.5 and CVD, and discuss multiple pathophysiological mechanisms linking PM2.5 and CVD.A few epidemiological studies show that the elderly appear specifically susceptible to adverse cardiovascular effects triggered by PM2.5 exposure. Plausible pathophysiological mechanisms include inflammatory dysfunction, oxidative stress, abnormal activation of the hemostatic system and disturbance of the autonomic nervous system.An in-depth knowledge of the chemical compounds, pathophysiological mechanisms, and epidemiological studies of PM2.5 are recommended to understand this important and modifiable factor contributing to geriatric CVD burden. We offer public health recommendations to reduce this preventable cause of disease and death.

SUBMITTER: Wang C

PROVIDER: S-EPMC4515716 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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PM2.5 and Cardiovascular Diseases in the Elderly: An Overview.

Wang Chenchen C Tu Yifan Y Yu Zongliang Z Lu Rongzhu R

International journal of environmental research and public health 20150716 7

<h4>Background</h4>Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in the elderly and the ambient concentration of PM2.5 has been associated with several cardiovascular diseases.<h4>Methods</h4>We describe the present state of planetary air pollution, analyze epidemiological studies linking PM2.5 and CVD, and discuss multiple pathophysiological mechanisms linking PM2.5 and CVD.<h4>Results</h4>A few epidemiological studies show that the elderly appear specifically sus ...[more]

PMID: 26193289

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Project description:Noise in housing environments may increase the risk of cardiovascular diseases (CVDs); however, the most significant sources of noise among elderly individuals remain poorly understood. A nationwide cross-sectional study comprised of 6,181 elderly people (age ? 65 years) was conducted using a web-based self-reported questionnaire in 2014. Questions pertaining to CVD-related subjective symptoms within the past year addressed symptoms of chest pain, disturbances in pulse, acute impaired tongue movement, limb paralysis, and foot pain or numbness during walking. Questions concerning noise included awakening during the night due to noise, automobile, neighborhood, construction, railway, and aircraft noise. The multivariable analyses revealed that all symptoms were significantly associated with awakening during the night due to noise. Automobile, construction, railway, and aircraft noise were significantly associated with more CVD-related symptoms at nighttime than at daytime. Our results suggest that noise at nighttime is an important risk factor for CVDs. Although several different sources of environmental noise, including automobile, neighborhood, construction, railway, and aircraft noise were found to be significantly associated with CVD-related symptoms, the strongest association was observed for construction noise, followed by neighborhood and automobile noise. The adjusted odds ratios (95% confidence intervals) for construction noise at nighttime were 1.12 (1.06-1.19) with disturbances in pulse, 1.21 (1.08-1.35) in acute impaired tongue movement, 1.25 (1.15-1.36) in limb paralysis, and 1.19 (1.12-1.28) in foot pain or numbness during walking. The associations with railway and aircraft noise were found to be weaker than those with automobile, neighborhood, and construction noise. Our study suggests that CVD-related symptoms may exhibit a greater association with construction, neighborhood, and automobile noise than with railway and aircraft noise.

Dataset Information

PM2.5 and Cardiovascular Diseases in the Elderly: An Overview.

Publications

PM2.5 and Cardiovascular Diseases in the Elderly: An Overview.

Similar Datasets

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