Evidence map›Paper›PMID 16415270›Full record

ArticleJournal of epidemiology and community health2006

Associations between exposure to ambient photochemical oxidants and the vitality or mental health domain of the health related quality of life.

Shin Yamazaki, Hiroshi Nitta, Shunichi Fukuhara

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shin YamazakiEpidemiology and Exposure Assessment Section, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan. yamazaki.shin@nies.go.jp
Hiroshi Nitta
Shunichi Fukuhara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbient air pollution may affect the health related quality of life (HRQOL) of people, as assessed by the vitality (VT) and mental health (MH) domains of the SF-36 health survey (SF-36).

methodsIn a nationwide survey, 4500 people aged 20 years and older were selected from the entire population of Japan by stratified random sampling in October 2002. A total of 2896 subjects filled out the self administered questionnaire that included the SF-36 and demographic characteristics. Data were linked from the questionnaires with the data on air pollutants in the cities where the subjects resided. The paper examined the relations between the mean concentration of each air pollutant and the VT or MH score on the SF-36 using analysis of covariance.

resultsOn crude analysis, the respondents who were exposed to a higher mean two month concentration of photochemical oxidants (Ox) showed a significant linear trend toward lower VT score (p = 0.028). This association remained even after adjustment for subjective demographic characteristics and meteorological variables (p = 0.033). There was a common tendency that subjects who were exposed to higher concentrations of Ox had a lower mean VT or MH score; however, there was a significant association only between Ox concentration and VT score.

conclusionThe score on the VT domain of the SF-36 was associated with the mean concentration of Ox during the previous two month period. Assessing the health effects of air pollution by measuring the HRQOL, such as by using the SF-36, may provide a new method of formulating air pollution policies.

Indexed as

Health StatusQuality of LifeAdultAgedAir PollutantsCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedOxidants, PhotochemicalSelf-AssessmentSurveys and QuestionnairesAir PollutantsOxidants, Photochemical

Identifiers

PMID16415270
PMCPMC2566150

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.