Participation in a food assistance program and excessive weight gain: an evaluation of the Brazilian Worker’s Food Program in male and female manufacturing workers

Table 2 Comparison of characteristics of workers between industries adherent and non-adherent to the Brazilian WFP

Variable	Male workers		p	Female workers		p
	WFP	non-WFP		WFP	non-WFP
	Estimate (95% CI)	Estimate (95% CI)		Estimate (95% CI)	Estimate (95% CI)
Age, years (mean)	38.7 (36.5; 41.0)	34,1 (32.2; 36.1)	0.06	39.9 (38.0; 41.8)	41.9 (40.0; 43.8)	0.68
Married (%)	69.3 (59.5; 77.6)	61,1 (51.3; 70.0)	0.007	59.6 (48.4; 69.8)	55.2 (45.3; 64.7)	0.97
Children (%)	71.8 (62.2; 79.7)	58.4 (49.2; 67.2)	0.36	72.0 (60.0; 81.5)	78.9 (69.6; 85.9)	0,76
Education^a (%)	65.8 (56.4; 74.1)	55.0 (46.0; 63.7)	0.37	73.7 (60.8; 83.5)	52.1 (40.4; 63.6)	< 0.001
Income^b (%)	64,1 (54.5; 72.7)	64.9 (54.0; 74.5)	0.91	30.1 (21.3; 40.7)	17.5 (11.0; 26.7)	0.10
In-house formation (%)	31.3 (22.9; 41.2)	17.8 (11.4; 26.8)	0.85	17.4 (10.4; 27.6)	10.9 (5.7; 19.8)	0.41
Physical exercise^c (%)	67.0 (57.7; 75.1)	44.7 (36.2; 53.4)	0.39	93.6 (88.5; 96.5)	88.8 (81.0; 93.7)	0.81

Mixed effects multilevel logistic regression stratified by company size (fixed factors: WFP; random factors: activity sector, company nested within sector and worker nested within company). ^aHigh school or higher education; ^bMonthly income above one minimum wage (954 BRL or about 170 USD); ^cAbove 700 METS.min/week

ISSN: 1471-2458