Table 4.

Stratified linear regression analysis between leptin level and the Western dietary pattern among 1061 Chinese men and women in the 2006 China Health and Nutrition Survey in Jiangsu Province, China

	β	se	P value	P for interaction
Gender
Men (n 488)	0·153	0·053	0·004	0·356
Women (n 573)	0·180	0·042	<0·001
Age (years)
≤40 (n 306)	0·100	0·057	0·079	0·005
> 40 (n 755)	0·204	0·044	<0·001
BMI (kg/m2)
< 24 (n 611)	0·180	0·054	0·001	0·803
≥24 (n 450)	0·151	0·047	0·001
Current smoking status
No (n 776)	0·143	0·039	<0·001	0·010
Yes (n 270)	0·277	0·072	<0·001
Total energy intake (kJ/d)
<9853 (n 551)	0·127	0·052	0·015	0·555
≥9853 (n 510)	0·170	0·046	<0·001
Total energy intake (kcal/d)
<2355 (n 551)	0·127	0·052	0·015	0·555
≥2355 (n 510)	0·170	0·046	<0·001
Physical activity (MET-h/week)
<147·3 (n 562)	0·122	0·043	0·005	0·179
≥147·3 (n 499)	0·239	0·054	<0·001

MET, metabolic equivalent.

Analysis was performed on log-transformed leptin concentration due to non-normality of the distribution. Total energy intake and physical activity level were dichotomized by their medians, respectively.

The models were adjusted for sex, age, income (low/medium/high), smoking status (yes/no), BMI, total energy intake (kJ/d, kcal/d) and physical activity (MET-h/week) simultaneously.