| Literature DB >> 21680278 |
Erin N Haynes1, Caroline Beidler, Richard Wittberg, Lisa Meloncon, Megan Parin, Elizabeth J Kopras, Paul Succop, Kim N Dietrich.
Abstract
BACKGROUND: Marietta, Ohio, is an Appalachian-American community whose residents have long struggled with understanding their exposure to airborne manganese (Mn). Although community engagement in research is strongly endorsed by the National Institutes of Health and the National Institute of Environmental Health Sciences in particular, little has been documented demonstrating how an academic-community partnership that implements the community-based participatory research (CBPR) principles can be created and mobilized for research.Entities:
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Year: 2011 PMID: 21680278 PMCID: PMC3230433 DOI: 10.1289/ehp.1003164
Source DB: PubMed Journal: Environ Health Perspect ISSN: 0091-6765 Impact factor: 9.031
Respondents’ concern about local environment, odor, and Mn exposure (n = 227–229).
| Local environmental concern | Very concerned to concerned | Neutral | Slightly to not concerned |
|---|---|---|---|
| Air | 209 (91) | 8 (3) | 12 (5) |
| Water | 193 (85) | 19 (8) | 15 (7) |
| Soil | 168 (74) | 33 (15) | 25 (5) |
| Odor (smell) in air | 172 (75) | 30 (13) | 26 (12) |
| Mn exposure | 175 (77) | 25 (11) | 27 (12) |
| Data represent number of respondents (%). | |||
Air quality risk perception and willingness to participate in a research study (n = 189–229).
| Respondents’ perception of risk | Extremely likely to likely | Not sure | Unlikely to extremely unlikely | |||
|---|---|---|---|---|---|---|
| Air quality affects your health | 212 (93) | 7 (3) | 10 (4) | |||
| Amount of Mn in the air affects your health | 163 (71) | 55 (24) | 11 (4) | |||
| Likelihood of participating in a research study | 175 (77) | 41 (18) | 12 (5) | |||
| Air quality affects your child’s health | 214 (94) | 5 (3) | 9 (4) | |||
| Amount of Mn in the air affects your child’s health | 167 (73) | 52 (23) | 10 (4) | |||
| Likelihood of allowing your child to participate in a research study | 120 (63) | 41 (22) | 28 (15) | |||
| Data represent number of respondents (%). | ||||||
Figure 1Health symptoms or conditions perceived to become worse when the quality of air is worse (percentage of survey respondents indicating each symptom or condition).
Figure 2Community-identified populations that are most affected by air quality and on whom the research should focus (percentage of survey respondents indicating each population).
Figure 3Community-identified amount of information received (A), perceived level of trust (B), and amount of knowledge (C) for each information source on risk of local industrial emissions (percentage indicating “no”and “a lot”).