Pesticides and Health in Vegetable Production in Kenya
Table 4
Binomial Regression model for the acute symptoms estimations.
Model
Unrestricted
Restricted
Variables
(Coefficient)
-value
(Coefficient)
-value
AGE
0.04 (0.04)
1.13
AGESQ
−0.00 (0.00)
−1.21
EDUCATION
−0.16 (0.07)
−2.13
−0.14 (0.07)
−1.94
GENDER
−0.10 (0.16)
−0.67
GLOBALGAP
−0.33 (0.29)
−1.11
RECORD
−0.44 (0.17)
−2.57
−0.55 (0.15)
−3.77
NPEST
0.09 (0.05)
1.88
0.10 (0.05)
2.39
PWHOIab
0.00 (0.00)
1.28
PWHOII
0.00 (0.00)
0.68
PWHOIII
−0.00 (0.00)
−0.28
PWHOU
−0.00 (0.00)
−0.13
COAT
−0.29 (0.16)
−1.82
−0.29 (0.15)
−2.03
GLOVE
−0.26 (0.21)
−1.23
GUMBOOT
0.32 (0.23)
1.36
MASK
−0.35 (0.20)
−1.74
−0.39 (0.17)
−2.30
KIAMBU
1.69 (0.36)
4.67
1.63 (0.32)
5.20
MAKUENI
1.74 (0.49)
3.55
1.50 (0.46)
3.35
MERU CENTRAL
1.18 (0.31)
3.82
0.95 (0.25)
3.77
MURANGA
0.64 (0.46)
1.40
NYANDARUA
0.90 (0.34)
2.66
0.80 (0.28)
2.81
NYERI NORTH
0.93 (0.30)
3.07
0.79 (0.24)
3.26
YEAR 2008
−0.05 (0.21)
−0.23
Constant
−1.22 (1.06)
−1.15
−0.01 (0.48)
−0.02
Log likelihood
−518.85
−535.52
Wald χ2
73.74
60.96
Figures in parenthesis are robust standard errors, statistically significant at the 0.01 ), 0.05 ), and 0.1 ) levels of probability. Source: this study.