Table 5.

Conditional effects of ultra-processed foods consumption (% grams) according to sex at 23–25 years (2002/2004) and body composition measurements at 37–39 years (2016/2017) in participants of the 1978/1979 Ribeirão Preto birth cohort study (São Paulo, Brazil).

Linear regression prediction of body composition measurements	% Of ultra-processed foods grams
	Crude analysis		Adjusted analysisa
	β (95%CI)	p-value	β (95%CI)	p-value
Body mass index (kg/m 2 )
Men	0.00 (−0.03, 0.03)	0.758	0.00 (−0.04,0.03)	0.725
Women	0.04 (0.01, 0.07)	0.024	0.04 (0.01, 0.07)	0.023
Fat mass index (kg/m 2 )
Men	0.00 (−0.02, 0.02)	0.967	0.00 (−0.03;0.02)	0.920
Women	0.04 (0.01, 0.06)	0.003	0.04 (0.01, 0.06)	0.002
Body fat percentage
Men	0.00 (−0.06, 0.05)	0.862	0.00 (−0.05, 0.05)	0.870
Women	0.08 (0.03, 0.13)	0.001	0.08 (0.04, 0.13)	< 0.001
Android fat (kg)
Men	0.00 (−0.01, 0.00)	0.193	0.00 (−0.01, 0.00)	0.226
Women	0.01 (0.00, 0.01)	0.007	0.01 (0.00, 0.01)	0.003
Gynoid fat (kg)
Men	−0.01 (−0.02, 0.00)	0.269	−0.01 (−0.02, 0.00)	0.366
Women	0.01 (0.00, 0.02)	0.021	0.01 (0.00, 0.02)	0.011
Lean mass percentage (%)
Men	0.04 (−0.01, 0.08)	0.144	0.03 (−0.02, 0.08)	0.173
Women	−0.06 (−0.11, −0.02)	0.004	−0.07 (−0.11, −0.03)	0.001

^aAnalysis adjusted for sex, age, family income, marital status, television and reading time, physical activity level, smoking, anabolic steroid use and total dietary energy intake.