Evidence map›Paper›PMID 25664694›Full record

ArticleInternational journal of environmental research and public health2015

Knowledge, attitudes, and practices (KAP) of the relationship between air pollution and children's respiratory health in Shanghai, China.

Rui Wang, Yingying Yang, Renjie Chen, Haidong Kan, Jinyi Wu, Keran Wang, Jay E Maddock, Yuanan Lu

Registry-linked trialAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07461857 (Minority-focused Environmental Health Education and Tracking), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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.

NCT07461857 nacompletednot on this mapstarted 2025, after this paper: background citation

Minority-focused Environmental Health Education and Tracking (MEET) Pilot Study

TypeinterventionalSponsorMillion Marker Wellness, Inc.Ran2025 to 2026Enrolled151ConditionsEnvironmental ExposureArmsEducation curriculum
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
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  5. Article
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  8. Article
  9. ChecKAP: A Checklist for Reporting a Knowledge, Attitude, and Practice (KAP) Study.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  10. Knowledge, Attitudes, and Practices Regarding Air Pollution among Medical Students.International journal of environmental research and public health · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Has the public habituated to the haze in China?Environmental science and pollution research international · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Rui WangSchool of Public Health, Fudan University, 138 Yixueyuan Road, Xuhui District, Shanghai 200032, China. wang_r13@fudan.edu.cn.
Yingying YangSchool of Public Health, Fudan University, 138 Yixueyuan Road, Xuhui District, Shanghai 200032, China. yingyingyang13@fudan.edu.cn.
Renjie ChenSchool of Public Health, Fudan University, 138 Yixueyuan Road, Xuhui District, Shanghai 200032, China. crj_1986@163.com.
Haidong KanSchool of Public Health, Fudan University, 138 Yixueyuan Road, Xuhui District, Shanghai 200032, China. kanh@fudan.edu.cn.
Jinyi WuSchool of Public Health, Fudan University, 138 Yixueyuan Road, Xuhui District, Shanghai 200032, China. 12211020067@fudan.edu.cn.
Keran WangSchool of Public Health, Fudan University, 138 Yixueyuan Road, Xuhui District, Shanghai 200032, China. 10301020044@fudan.edu.cn.
Jay E MaddockDepartment of Public Health Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA. jmaddock@hawaii.edu.
Yuanan LuDepartment of Public Health Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA. yuanan@hawaii.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the status of, and factors associated with, residents' knowledge, attitudes, and practices (KAP) related to air pollution and respiratory health of children in Shanghai, we conducted a cross-sectional survey. Demographic factors associated with residents' knowledge were identified by multiple logistic regressions. The questionnaires were completed by 972 participants, half from the Shanghai Children Hospital and the other half from the Jiading communities. Half of the participants' scores of knowledge and attitudes were equal or greater than 8.0 on a 9-point scale, over 75% of respondents' practice scores were equal to or less than 4.0. Our studies demonstrated a significant difference of average knowledge scores between the two groups (t = 1.27, p < 0.05). The parents' educational level (OR = 1.89, 2.48) and average annual household income (AAHI) (OR = 2.37, 2.40, 2.12) were the two strongest factors on knowledge awareness. In addition, statistical analysis revealed a significant difference between the two groups in their attitudes towards air quality and their perception of the government's efforts to alleviate it. The hospital and community groups also showed significant differences in practices geared towards protecting their children's health. Nearly 90% of the respondents agreed that improving air quality is the responsibility of every citizen, and the joint action of governments and all citizens should be utilized for enhanced control. In addition, more resources should be allocated towards providing citizens with appropriate practices to help lessen the effects of poor air quality.

Indexed as

Health Knowledge, Attitudes, PracticeAir PollutionChildChild, PreschoolChinaCross-Sectional StudiesData CollectionFemaleHumansLogistic ModelsMaleRespiratory Tract DiseasesSurveys and Questionnaires

Identifiers

PMID25664694
PMCPMC4344696

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.