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. 2017 Feb 20;9(2):162. doi: 10.3390/nu9020162

Table 1.

Demographic, anthropometric, socio-economic and behavioral characteristics of the total sample, FS-ACCEPTABLE and FS-EXCESS groups.

ALL FS-ACCEPTABLE FS-EXCESS p 1 p 2
Individuals, n 1693 1003 690
Age, year 3 47.0 ± 15.02 51.1 ± 14.0 41.1 ± 14.5 <0.001 -
Age, %
 20–34 25.4 15.1 40.3
 35–49 29.8 28.9 31.3
 50–64 29.0 35.0 20.3
 65–75 15.8 21.0 8.2
Gender, % 0.087 -
 Male 47.6 49.4 45.0
 Female 52.4 50.6 55.0
BMI, kg/m2 3,4 24.5 ± 4.3 25.2 ± 4.3 23.6 ± 4.0 <0.001 0.001
BMI, % <0.001 0.001
 <18.5 kg/m2 4.2 3.0 6.0
 18.5 to <25 kg/m2 55.7 49.2 65.1
 25 to <30 kg/m2 30.6 35.4 23.7
 >30 kg/m2 9.5 12.4 5.3
Household composition, %
 Couple with at least one child 31.7 28.2 36.8 <0.001
 Couple with no child 42.3 49.3 32.0
 Single with at least one child 5.4 4.2 7.0
 Single with no child 20.6 18.3 23.9
 Missing information 0.1 . 0.2
Socio-professional status, % <0.001
 Active 56.2 52.6 61.5
 Unemployed 4.2 3.4 5.3
 Student 4.9 1.6 9.6
 Retired 25.9 34.3 13.8
 Homemaker 8.8 8.1 9.8
ICU, euros/month 3 1328 ± 837 1359 ± 830 1285 ± 847 0.069
Current smoking status, % <0.001 0.0216
 Smoker 27.9 23.7 34.0
 Non-smoker 70.3 74.8 63.7
 Missing 1.8 1.5 2.3
IPAQ, % 0.156 0.239
 Low 22.6 20.9 25.1
 Moderate 30.5 31.2 29.6
 High 45.7 46.8 44.0
 Missing information 1.2 1.1 1.3
Screen for leisure time, minutes/day 3,4 205 ± 138 195 ± 128 221 ± 151 0.002 0.020
 In front of computer 60 ± 97 52 ± 94 73 ± 101 <0.001 0.249
 In front of TV 145 ± 98 143 ± 89 148 ± 110 0.442 0.040
Frequency of eating between meals, as declared % <0.001 <0.001
 ≥4 times/day 2.4 1.3 4.0
 2 to 3 times/day 15.1 11.8 19.8
 1/day 31.5 28.1 36.3
 >0 and <1/day 25.3 26.6 23.4
 Never 23.4 29.6 14.4
 Missing/invalid answers 2.4 2.6 2.1
Interest in diet, % 0.001 0.010
 A lot 32.8 36.4 27.7
 Little 44.7 44.6 45.0
 Not really 16.3 13.3 20.7
 Not at all 4.9 4.5 5.3
 Missing/invalid answers 1.3 1.2 1.3

Abbreviations: BMI, body mass index; ICU, income per consumption unit; IPAQ, International Physical Activity Questionnaire. 1 p value provided by chi-squared test for categorical variables and GLM for continuous variables; 2 Gender-age adjusted p values provided by logistic regression for categorical variables and GLM for continuous variable; 3 Results are Mean ± SD; 4 One missing information items for BMI and seven missing information items for screen for leisure time variable.