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
共 50 条
  • [31] Religion and Resistance in Appalachia: Faith and the Fight against Mountaintop Removal Coal Mining
    Ammon, Laura
    JOURNAL FOR THE STUDY OF RELIGION NATURE AND CULTURE, 2019, 13 (02): : 233 - 235
  • [32] Comparing latent class factor analysis with the traditional approach in data mining
    Magidson, J
    Vermunt, JK
    STATISTICAL DATA MINING AND KNOWLEDGE DISCOVERY, 2004, : 373 - 383
  • [33] Exploratory Analysis of Somatic Symptoms in Fibromyalgia By Multidimensional Scaling and Latent Class Analysis
    Antivalle, Marco
    Battellino, Michele
    Batticciotto, Alberto
    Ditto, MariaChiara
    Mutti, Alessandra
    Varisco, Valentina
    Rigamonti, Federica
    Atzeni, Fabiola
    Sarzi-Puttini, Piercarlo
    ARTHRITIS & RHEUMATOLOGY, 2015, 67
  • [34] Patterns of Brucellosis Infection Symptoms in Azerbaijan: A Latent Class Cluster Analysis
    Ismayilova, Rita
    Nasirova, Emilya
    Hanou, Colleen
    Rivard, Robert G.
    Bautista, Christian T.
    JOURNAL OF TROPICAL MEDICINE, 2014, 2014
  • [35] Latent Class Analysis to Classify Patients with Transthyretin Amyloidosis by Signs and Symptoms
    Alvir J.
    Stewart M.
    Conceição I.
    Neurology and Therapy, 2015, 4 (1) : 11 - 24
  • [36] Type of physical activity and depression symptoms in adolescents: A latent class analysis
    Rodriguez, Daniel
    Dunton, Genevieve Fridlund
    ANNALS OF BEHAVIORAL MEDICINE, 2008, 35 : S205 - S205
  • [37] Latent class analysis of symptoms of depression and anxiety among older women
    Zhou, Kexin
    Zhu, Xuemei
    Yang, Li
    Gao, Zihan
    Wei, Xiao
    Kuang, Jinke
    Xu, Mengfan
    JOURNAL OF WOMEN & AGING, 2024, 36 (02) : 93 - 106
  • [38] Parental control and college students' depressive symptoms: A latent class analysis
    Hwang, Woosang
    Jung, Eunjoo
    Hadi, Narges
    Kim, Seonghee
    PLOS ONE, 2024, 19 (02):
  • [39] Latent class analysis of bipolar disorder symptoms and suicidal ideation and behaviors
    Au, Josephine S.
    de Andino, Ana Martinez
    Mekawi, Yara
    Silverstein, Madison W.
    Lamis, Dorian A.
    BIPOLAR DISORDERS, 2021, 23 (02) : 186 - 195
  • [40] Latent class analysis of symptoms associated with chronic fatigue syndrome and fibromyalgia
    Sullivan, PF
    Smith, W
    Buchwald, D
    PSYCHOLOGICAL MEDICINE, 2002, 32 (05) : 881 - 888