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. Author manuscript; available in PMC: 2017 Apr 5.
Published in final edited form as: Mov Disord. 2010 Dec 13;26(2):271–279. doi: 10.1002/mds.23370

TABLE 3.

Relation between the prevalence of Parkinson’s disease in 2007 and the density of farming types in five French districts: univariate and multivariable models

Farming type Univariate modelsa
Fixed-effects multivariable modelb
Semi-Bayes multivariable modelc
OR (95% CI)d, 4+5 vs 1+2+3 quintiles Pe OR (95% CI)d, 4+5 vs 1+2+3 quintiles Pe OR (95% CI)d, 4+5 vs 1+2+3 quintiles Pe
Cattle-dairying, rearing, and fattening combined 0.99 (0.86–1.13) 0.096 0.98 (0.82–1.17) 0.221 0.98 (0.84–1.14) 0.170
Field crops-grazing livestock combined 0.98 (0.88–1.10) 0.656 0.92 (0.80–1.06) 0.765 0.92 (0.82–1.05) 0.740
General field cropping 1.09 (0.95–1.24) 0.416 1.06 (0.89–1.28) 0.337 1.06 (0.90–1.25) 0.282
Mixed cropping 1.08 (0.92–1.27) 0.088 1.05 (0.85–1.29) 0.556 1.05 (0.87–1.26) 0.508
Mixed livestock— mainly granivores 0.97 (0.84–1.14) 0.813 0.91 (0.77–1.07) 0.839 0.91 (0.79–1.05) 0.818
Mixed livestock— mainly grazing livestock 1.04 (0.93–1.17) 0.808 1.03 (0.88–1.21) 0.998 1.03 (0.90–1.19) 0.998
Sheep-goats and other grazing livestock 1.03 (0.89–1.20) 0.545 1.02 (0.83–1.26) 0.414 1.02 (0.85–1.23) 0.359
Specialist cattle-rearing and fattening 0.97 (0.84–1.14) 0.796 0.99 (0.80–1.21) 0.927 0.99 (0.82–1.18) 0.919
Specialist cereals—oilseed and protein crops 1.08 (0.96–1.22) 0.389 0.99 (0.84–1.16) 0.457 0.99 (0.86–1.14) 0.407
Specialist dairying 1.06 (0.93–1.20) 0.251 1.09 (0.92–1.30) 0.913 1.09 (0.93–1.27) 0.895
Specialist fruits and permanent crops 1.18 (1.06–1.32) 0.008 1.22 (1.07–1.39) 0.062 1.21 (1.08–1.36) 0.035
Specialist granivores 1.09 (0.97–1.23) 0.245 1.09 (0.95–1.24) 0.296 1.09 (0.97–1.22) 0.239
Specialist horticulture 1.04 (0.94–1.16) 0.391 1.08 (0.94–1.23) 0.171 1.08 (0.96–1.21) 0.124
Specialist market garden vegetables 0.96 (0.86–1.08) 0.506 0.89 (0.77–1.03) 0.069 0.89 (0.78–1.02) 0.041
Specialist vineyards 1.09 (0.94–1.25) 0.570 0.94 (0.78–1.12) 0.718 0.94 (0.80–1.10) 0.686
Various crops and livestock combined 1.04 (0.91–1.18) 0.203 0.93 (0.80–1.09) 0.562 0.93 (0.81–1.07) 0.512
a

Logistic regression model built for each farming type separately; adjusted for sex, age (linear and quadratic terms), district, and median household income.

b

Logistic regression model including all farming types in the same model; adjusted for sex, age (linear and quadratic terms), district, and median household income.

c

Semi-Bayes logistic regression model adjusted for sex, age (linear and quadratic terms), district, and median household income, with all farming types in the same model and assumed to be exchangeable with a prior variance of 0.345.

d

OR for the effect of the two highest quintiles of the density of farming types compared to the three lowest quintiles.

e

Test for trend across the five quintiles.

OR, odds ratio; CI, confidence interval.