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Table 2 Characteristics of the studies selected in the review

From: Mortality and morbidity in populations in the vicinity of coal mining: a systematic review

[citation] authors (year)

Country

Study class

Health outcomes scoped

Analytical method

Critical appraisal (relevance)

Funding

[47] Liao et al. (2016)

China

Mortality/ Morbidity

Neural tube defects

Spatial autocorrelation

Medium

NNSFC-YTF-IGSNRSa

[31] Woolley et al. (2015)

USA

Mortality

Malignant and non-malignant respiratory diseases, and external and all causes of death

Two sample t test

Medium

ARIES b

[49] Talbott et al. (2015)

USA

Morbidity

Diseases of the circulatory system

Linear regression, spatial regression

High

ARIES b

[30] Mueller et al. (2015)

USA

Mortality/ Morbidity

Cancer of lung, colon, breast, prostate, and all combined cancer

Linear regression, spatial autocorrelation

High

CTMPHD-EFCR c

[50] Lamm et al. (2015)

USA

Morbidity

Congenital anomalies

Poisson regression

Medium

ARIES b

[32] Buchanich et al. (2014)

USA

Mortality

Malignant neoplasms, and external and all causes of death

Negative binomial regression

Medium

ARIES b

[51] Brink et al. (2014)

USA

Morbidity

Diseases of the respiratory system

Linear regression

Medium

ARIES b

[52] Liu et al. (2013)

USA

Morbidity

Diabetes mellitus

Multilevel linear regression

Medium

JHERC-NIOSH d

[33] Fernandez-Navarro et al. (2012)

Spain

Mortality

Malignant neoplasms

Poisson regression, spatial regression

High

Spain Health Research Fund

[34] Borak et al. (2012)

USA

Mortality

All causes of death

Linear regression

Medium

National Mining Association

[35] Ahern and Hendryx (2012)

USA

Mortality

Malignant neoplasms

Linear regression

Medium

Not stated

[36] Esch and Hendryx (2011)

USA

Mortality

Chronic diseases of the circulatory system

Linear regression

High

Not stated

[53] Christian et al. (2011)

USA

Morbidity

Lung cancer

Spatial scan statistic

Medium

KLCRP e

[37] Hendryx (2011)

USA

Mortality

All causes of death

Linear regression

Medium

Not stated

[54] Ahern et al. (2011)

USA

Morbidity

Congenital anomalies

Poisson regression, spatial autocorrelation

High

Not stated

[55] Ahern, et al. (2011)

USA

Morbidity

Low birth weight

Linear regression

Medium

Not stated

[46] Liao et al. (2010)

China

Mortality/Morbidity

Neural tube defects

Poisson regression, spatial autocorrelation

High

PNNSFC -HTRDPC –NBRPP f

[38] Hitt and Hendryx (2010)

USA

Mortality

Cancer of the respiratory, digestive and genitourinary systems

Spatial autocorrelation

Medium

Not stated

[39] Hendryx et al. (2010)

USA

Mortality

Diseases of the respiratory and circulatory systems, all Malignant neoplasms, and all causes of death

Linear regression

Medium

Not stated

[40] Hendryx et al. (2010)

USA

Mortality

Cancer of the respiratory, digestive, genitourinary, hematopoietic, and central nervous systems, and melanoma

Linear regression, spatial autocorrelation

High

Not stated

[41] Hendryx and Ahern (2009)

USA

Mortality

All causes of death

Linear regression

Medium

Grant RRI-UWV g

[42] Hendryx (2009)

USA

Mortality

Diseases of the circulatory, respiratory, and genitourinary systems

Poisson regression

Medium

Grant RRI-UWV

[43] Hendryx et al. (2008)

USA

Mortality

Lung cancer

Linear regression

Medium

Grant RRI-UWV

[44] Hendryx (2008)

USA

Mortality

All causes of death

Linear regression

Medium

Not stated

[56] Hendryx et al. (2007)

USA

Morbidity

Lung cancer, diseases of the respiratory, circulatory, and musculoskeletal systems, diabetes, and mental disorders

Multilevel logistic regression

Medium

Not stated

[48] Gu et al. (2007)

China

Mortality/ Morbidity

Neural tube defects

Spatial autocorrelation

Medium

Grant h

[57] Howel et al. (2001)

UK

Morbidity

Diseases of the eyes and skin, and diseases of the respiratory system

Linear regression

Medium

Grant i

[58] Pless-Mulloli et al. (2000)

UK

Morbidity

Diseases of the eyes and skin, and diseases of the respiratory system

Linear regression

Medium

Grant j

  1. a National Natural Science Foundation of China and the Yong Talent Fund of the Institute of Geographic Sciences and the Natural Resources Search
  2. b Industrial affiliate program at Virginia Tech; supported by members that include companies in the energy sector
  3. c The Caryll Towsley Moy PhD Endowed Fund for Collaborative Research
  4. d The Johns Hopkins Education and Research Centre, National Institute of Occupational Safety and Health
  5. e Kentucky Lung Cancer Research Program
  6. f The Project of the National Natural Science Foundation of China, the Hi-Tech Research and Development Program of China, the National Basic Research Priorities Program of the Ministry of Science and Technology of the People’s Republic of China, and the Knowledge Innovation Program
  7. g Regional Research Institute, West Virginia University
  8. h National project on Population and Health, China
  9. i Medical Research Council (grant AIR/96/9) UK
  10. j Northern and Yorkshire Regional research and development grant UK