Table 3. Intervention effectiveness: changes in selected lifestyle behaviors among 1108 primary school students in Nanjing City, China ^† .

Factors influencing obesity	Change in frequencies of influence factors
	% (n)		OR (95%CI)*
	Control (ref.) N = 503	Intervention N = 605
Improved physical activity patterns (increase in participating frequency)
Jogging/running	32.4 (163)	46.0 (278)	1.55 (1.18, 2.02)
Walking	45.7 (230)	46.9 (284)	0.98 (0.74, 1.25)
Ball playing	35.8 (180)	40.0 (242)	1.21 (0.93, 1.58)
Improved commuting mode (from sedentary to active mode within students with sedentary mode at baseline)
Walking or riding bicycles to school ‡	16.5 (49)	28.9 (104)	2.24 (1.47, 3.40)
Reduced viewing/using frequency
TV or computers	41.0 (206)	49.4 (293)	1.41 (1.09, 1.84)
Change in dietary patterns **
Red meat	35.0 (176)	46.1 (279)	1.50 (1.15, 1.95)
Fried snacks	27.4 (138)	29.1 (176)	1.08 (0.81, 1.44)
Soft drinks	28.2 (142)	26.4 (160)	0.89 (0.67, 1.19)
Vegetables	47.1 (237)	48.6 (294)	1.20 (0.92, 1.55)

† Change in frequency was defined as participants whose physical activity frequencies increased and unhealthy food intake frequencies decreased at the follow-up.

‡ for control group, N = 297; for intervention group, N = 360

* Odds ratios were estimated with control group as the reference and using multivariate logistic regression methods with adjustment for clustering effect at school level, participants' age, gender, baseline body weight and parents' educational attainment.

** Change in red meat, snacks and soft-drinks presented as reduced consumption frequency, while in vegetables as increased frequency.