Education is associated with lower levels of abdominal obesity in women with a non-agricultural occupation: an interaction study using China’s four provinces survey

Table 3 Separate and joint effects of education and occupation on central obesity – Four Provinces Study, China (2008/09)

Complete cases (N = 1921)	Unadjusted	Age group and parityadjusted		Age group, parity and health behaviour²adjusted			Age group, parity, health behaviour and area of residence adjusted
	OR (95%CI)	P-value³	OR (95%CI)	P-value³	OR (95%CI)	P-value³	OR (95%CI)	Pcpvalue³
Separate effects ¹
Education level
None	1		1		1		1
Any	1.24 (1.02,1.50)	0.03	1.27 (1.05, 1.55)	0.02	1.19 (0.97, 1.45)	0.09	0.96 (0.78, 1.20)	0.7
Occupational status
Agricultural	1		1		1		1
Non-agricultural	1.61 (1.33, 1.95)	<0.001	1.59 (1.30, 1.94)	<0.001	1.46 (1.19, 1.81)	<0.001	1.11 (0.84, 1.45)	0.4
Joint effects (Odds of obesity for occupational status [Non-agricultural vs. agricultural] within education levels) ³
Education level
None	2.28 (1.57, 3.31)	<0.001	2.21 (1.52, 3.21)	<0.001	2.10 (1.43, 3.07)	<0.001	1.66 (1.11, 2.49)	0.01
Any	1.33 (0.99, 1.78)	0.06	1.25 (0.92, 1.70)	0.1	1.15 (0.84, 1.57)	0.4	0.84 (0.58, 1.20)	0.3
P for interaction⁴	0.02		0.02		0.02		<0.01

¹ Odds ratios of obesity for education level [Any vs. None] and occupational status [Non-agricultural vs. agricultural].
² Health behaviours included current alcohol consumption, smoking status, meat consumption and fruit and vegetable consumption.
³ P-value for the Wald test.
⁴ P-value for the LR test comparing the models with and without the interaction term between education and occupation.

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