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Table 1 Summary of characteristics of studies included in a systematic review of the associations between proximity to animal feeding operations and the health of individuals in nearby communities

From: Updated systematic review: associations between proximity to animal feeding operations and health of individuals in nearby communities

Study

Source

Study design

Country

Year(s) of study

N (study pop)

Age (study pop)

Statistical methods used to assess association(s) between exposure(s) and outcome(s)

Feingold et al. 2012 [17]

As for study

Observational: case-control

The Netherlands

2008–2011

87

NR

Multivariable approaches to dichotomous data with no fixed or random effects: logistic regression

Schiffman et al. 2005 [34]

As for study

Experimental (laboratory)

USA

NR

48

19–49 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Multivariable approaches to continuous outcomes with fixed and/or random effects

The Netherlands study

Smit et al. 2014 [16]

Observational: cross-sectional

The Netherlands

2009

92,548

0–70 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Smit et al. 2012 [19]

Observational: cross-sectional

The Netherlands

2009

92,548

0–70 years

Univariate approaches to categorical data: chi-square tests

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Lower Saxony Lung Study

Schulze et al. 2011 [10]

Observational: cross-sectional

Germany

2002–2006

457

18–44 years

Multivariable approaches to dichotomous data with no fixed or random effects: logistic regression

Multivariable approaches to continuous data with no fixed or random effects: linear regression

Radon et al. 2007 [13]

Observational: cross-sectional

Germany

2002–2004

2425

18–45 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Radon et al. 2005 [20]

Observational: cross-sectional

Germany

NR

6837 (questionnaire), 2812 (clinical assessment)

18–44 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

AABEL Study

Hoopmann et al. 2006 [11]

Observational: cross-sectional

Germany

2001

7943 (questionnaires), 5136 (skin exam), 1552 (Phadiatop test)

5–6 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Schinasi et al. 2014 [18]

As for study

Observational: case-control

USA

2011

121 MRSA-positive patients and 122 MRSA-negative patients

18–65 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Mirabelli et al. 2006 [14]

As for study

Observational: cross-sectional

USA

2004

128,568

12–14 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Bullers 2005 [7]

As for study

Observational: cross-sectional

USA

1998–1999

82 (48 exposed, 34 unexposed)

Mean 57 years (exposed); mean 42 years (unexposed)

Univariable approaches to continuous outcomes (t test, ANOVA)

Schiffman et al. 1995 [35]

As for study

Observational: cohort

USA

NR

88

52 ± 13 years

Univariable approaches to continuous outcomes (t test, ANOVA)

CHEIHO Study

Avery et al. 2004 [21]

Observational: cross-sectional

USA

NR

15

33–77 years

Multivariable approaches to continuous outcomes with fixed and/or random effects

Schinasi et al. 2011 [8]

Observational: cohort

USA

2003–2005

101

19–90 years

Univariable approaches to continuous outcomes (t test, ANOVA)

Horton et al. 2009 [9]

Observational: cohort

USA

2003–2005

101

19.2–89.5 y

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

Wing et al. 2013 [22]

Observational: cohort

USA

2003–2005

101

Median 53 years

Multivariable approaches to categorical data with fixed and/or random effects: logistic regression/generalized linear model with logit link

  1. NR not reported