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Area deprivation and its association with health in a cross-sectional study: are the results biased by recent migration?横断面研究中的区域贫困及其与健康的关系:最近的迁移是否会影响结果的偏差?
Int J Equity Health. 2007 Sep 20;6:10. doi: 10.1186/1475-9276-6-10.
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Prevention of type 2 diabetes: a review.2型糖尿病的预防:综述
Diabetes Res Clin Pract. 2007 Jun;76(3):317-26. doi: 10.1016/j.diabres.2006.09.020. Epub 2006 Oct 27.
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Associations between environmental exposure and blood pressure among participants in the Oslo Health Study (HUBRO).奥斯陆健康研究(HUBRO)参与者中环境暴露与血压之间的关联。
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Do perceptions of neighbourhood environment influence health? Baseline findings from a British survey of aging.邻里环境认知会影响健康吗?一项英国老年人调查的基线结果。
J Epidemiol Community Health. 2006 Jun;60(6):476-83. doi: 10.1136/jech.2005.039032.
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Association between reported exposure to road traffic and respiratory symptoms in children: evidence of bias.报告的儿童道路交通暴露与呼吸道症状之间的关联:偏差证据。
Int J Epidemiol. 2006 Jun;35(3):779-86. doi: 10.1093/ije/dyl022. Epub 2006 Mar 2.
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Place and the experience of air quality.地点与空气质量体验。
Health Place. 2007 Mar;13(1):249-60. doi: 10.1016/j.healthplace.2006.01.002. Epub 2006 Feb 24.
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Comparing objective and subjective status: gender and space (and environmental justice?).比较客观与主观状况:性别与空间(以及环境正义?)
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Environmental equity, air quality, socioeconomic status, and respiratory health: a linkage analysis of routine data from the Health Survey for England.环境公平性、空气质量、社会经济地位与呼吸健康:基于英格兰健康调查常规数据的关联分析
J Epidemiol Community Health. 2005 Nov;59(11):948-54. doi: 10.1136/jech.2005.036418.
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Exposure to traffic related air pollutants: self reported traffic intensity versus GIS modelled exposure.暴露于交通相关空气污染物:自我报告的交通强度与地理信息系统模拟的暴露情况
Occup Environ Med. 2005 Aug;62(8):517-23. doi: 10.1136/oem.2004.016766.
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Explaining educational-related inequalities in health: Mediation and moderator models.解释健康方面与教育相关的不平等:中介和调节模型。
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对患有和未患有慢性病的人群中自我报告的空气污染问题与地理信息系统模拟的空气污染水平进行比较。

A comparison of self reported air pollution problems and GIS-modeled levels of air pollution in people with and without chronic diseases.

作者信息

Piro Fredrik Niclas, Madsen Christian, Naess Oyvind, Nafstad Per, Claussen Bjørgulf

机构信息

Institute of General Practice and Community Medicine, University of Oslo, P,O, Box 1130 Blindern, 0317 Oslo, Norway.

出版信息

Environ Health. 2008 Feb 28;7:9. doi: 10.1186/1476-069X-7-9.

DOI:10.1186/1476-069X-7-9
PMID:18307757
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2289819/
Abstract

OBJECTIVE

To explore various contributors to people's reporting of self reported air pollution problems in area of living, including GIS-modeled air pollution, and to investigate whether those with respiratory or other chronic diseases tend to over-report air pollution problems, compared to healthy people.

METHODS

Cross-sectional data from the Oslo Health Study (2000-2001) were linked with GIS-modeled air pollution data from the Norwegian Institute of Air Research. Multivariate regression analyses were performed. 14 294 persons aged 30, 40, 45, 60 or 75 years old with complete information on modeled and self reported air pollution were included.

RESULTS

People who reported air pollution problems were exposed to significantly higher GIS-modeled air pollution levels than those who did not report such problems. People with chronic disease, reported significantly more air pollution problems after adjustment for modeled levels of nitrogen dioxides, socio-demographic variables, smoking, depression, dwelling conditions and an area deprivation index, even if they had a non-respiratory disease. No diseases, however, were significantly associated with levels of nitrogen dioxides.

CONCLUSION

Self reported air pollution problems in area of living are strongly associated with increased levels of GIS-modeled air pollution. Over and above this, those who report to have a chronic disease tend to report more air pollution problems in area of living, despite no significant difference in air pollution exposure compared to healthy people, and no associations between these diseases and NO2. Studies on the association between self reported air pollution problems and health should be aware of the possibility that disease itself may influence the reporting of air pollution.

摘要

目的

探讨导致人们报告居住地区空气污染问题的各种因素,包括地理信息系统(GIS)模拟的空气污染情况,并调查与健康人群相比,患有呼吸系统疾病或其他慢性疾病的人是否倾向于过度报告空气污染问题。

方法

将奥斯陆健康研究(2000 - 2001年)的横断面数据与挪威空气研究所的GIS模拟空气污染数据相链接。进行多变量回归分析。纳入了14294名年龄为30、40、45、60或75岁且具备模拟和自我报告空气污染完整信息的人员。

结果

报告空气污染问题的人群所接触的GIS模拟空气污染水平显著高于未报告此类问题的人群。在对二氧化氮模拟水平、社会人口统计学变量、吸烟、抑郁、居住条件和地区贫困指数进行调整后,患有慢性疾病的人报告的空气污染问题明显更多,即便他们患的不是呼吸系统疾病。然而,没有任何疾病与二氧化氮水平存在显著关联。

结论

居住地区自我报告的空气污染问题与GIS模拟的空气污染水平升高密切相关。除此之外,那些报告患有慢性疾病的人往往会报告更多居住地区的空气污染问题,尽管与健康人群相比,他们在空气污染暴露方面并无显著差异,且这些疾病与二氧化氮之间也没有关联。关于自我报告的空气污染问题与健康之间关联的研究应意识到疾病本身可能影响空气污染报告这一可能性。