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. 2022 May 17;10:445. Originally published 2021 Jun 4. [Version 3] doi: 10.12688/f1000research.53261.3

Table 2.

Association (OR) between different types of pesticide and obesity.

Not obese (N = 20217) N (%) Obese (N = 78)
N (%)
OR (crude) OR (adjusted) *
Any pesticide
No 1092 (5.4) 8 (10.3) 1.0 1.0
Yes 19125 (94.6) 70 (89.7) 0.50 (0.24-1.04) 0.46 (0.22-0.97)
Insecticide
No 4248 (21.0) 8 (10.3) 1.0 1.0
Yes 15969 (79.0) 70 (89.7) 2.33 (1.12-4.84) ** 2.10 (1.00-4.38)
Herbicide
No 2293 (11.3) 2 (2.6) 1.0 1.0
Yes 17924 (88.7) 76 (97.4) 4.86 (1.19-19.81) 4.56 (1.11-18.62)
Fungicide
No 12076 (59.7) 31 (39.7) 1.0 1.0
Yes 8141 (40.34) 47 (60.3) 2.25 (1.43-3.54) 2.12 (1.34-3.36)
Rodenticide
No 15809 (78.2) 46 (59.0) 1.0 1.0
Yes 4408 (21.8) 32 (41.0) 2.50 (1.59-3.92) 2.55 (1.61-4.05)
Molluscicide
No 15364 (76.0) 38 (48.7) 1.0 1.0
Yes 4853 (24.0) 40 (51.3) 3.33 (2.14-5.20) 3.40 (2.15-5.40)
*

Adjusted variables: Gender (male, female), age (20-30, 31-40, 41-50, 51-60, 60+), smoking (never, ex-smoker, current smoker), alcohol consumption (never, used to drink, currently drink), education (not attend school, primary school, secondary school, college degree or higher), income per month (THB) (<5000, 5001-10000, 10001-30000, >30000).

**

Significant OR were indicated in bold numbers.