共 50 条
Mountaintop removal mining and multiple illness symptoms: A latent class analysis
被引:3
|作者:
Hendryx, Michael
[1
]
Yonts, Sarah D.
[1
]
Li, Yueyao
[2
]
Luo, Juhua
[2
]
机构:
[1] Indiana Univ, Sch Publ Hlth, Dept Environm & Occupat Hlth, Bloomington, IN 47405 USA
[2] Indiana Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Bloomington, IN 47405 USA
关键词:
Appalachia;
Coal mining;
Latent class analysis;
POLYCYCLIC AROMATIC-HYDROCARBONS;
ATMOSPHERIC PARTICULATE MATTER;
CANCER-MORTALITY;
RESOURCE CURSE;
WEST-VIRGINIA;
COAL DISTRICT;
HEALTH;
AREAS;
APPALACHIA;
PARTICLES;
D O I:
10.1016/j.scitotenv.2018.12.083
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Background: Mountaintop removal mining has been associated with multiple types of disease outcomes for populations living nearby. The current study tested whether latent classes identifying people with symptoms from multiple organ systems were associated with residence in mountaintop mining communities. Methods: We used data from three cross-sectional household community surveys conducted in three Appalachian stales (N = 2756). The surveys contained information on 29 recent illness symptoms grouped into eight. organ systems (respiratory, cardiovascular, gastrointestinal, musculoskeletal, skin, eye-ear-nose-throat, neurological, and other.) We identified latent classes, and then tested whether classes with higher probabilities of multiple symptoms would be associated with residence in mountaintop removal areas after control for covariates. Results: Three latent classes were identified, including a low-symptom referent class, an intermediate class, and a class with high symptom probability across organ systems. Controlling for covariates, latent classes characterized by intermediate and high multi-symptom probabilities were significantly associated with residence near mountaintop removal mining, with the highest odds ratio for the MTR versus control condition for the high multi symptom group (OR = 2.17, 95% CI = 1.80-2.61). Conclusions: Symptoms across multiple organ systems were related to residential proximity to mountaintop removal mining. Prior research has established multiple environmental contaminants related to mining that may contribute to poor population health through more than one exposure route or chemical of concern. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:764 / 769
页数:6
相关论文