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. 2022 Jan 27;14(3):556. doi: 10.3390/nu14030556

Table 1.

Univariate analysis of factors determining weight gain in the entire cohort.

Variable Not Increased Weight
(N = 186)
Increased Weight
(N = 171)
p Value
Baseline Characteristics
Sex, male, n (%) 130 (70) 108 (63) 0.21
Age, ys 62 ± 13 61 ± 11 0.29
Current smokers, n (%) 20 (11) 19 (11) 0.75
Light Drinkers, n (%)
Alcohol intake, g/day
48 (26)
12 (6–22.5)
31 (18)
9 (6–12)
0.26
0.08
BMI, kg/m2
➢ Normal weight
➢ Overweight
➢ Obese
28.3 ± 3.9
32 (17)
102 (55)
52 (28)
28.5 ± 4.7
33 (19)
82 (48)
56 (33)
0.77
0.41
Hypertension, n (%) 102 (55) 94 (55) 1.00
T2DM, n (%) 41 (22) 43 (25) 0.62
Dyslipidaemia, n (%) 97 (52) 92 (54) 0.91
US steatosis
➢ 1, n (%)
➢ 2, n (%)
➢ 3, n (%)
 
87 (47)
71 (39)
28 (15)
 
70 (41)
75 (44)
26 (15)
0.37
FIB-4 <1.3, n (%) 78 (42) 77 (45) 0.65
FIB-4 >2.67, n (%) 6 (3) 8 (5) 0.59
Presence of NASH 1, n (%) 31 (17) 39 (23) 0.11
PNPLA3 2
➢ GG, n (%)
➢ CG + CC, n (%)
 
11 (12)
81 (88)
 
23 (24)
73 (76)
0.04
Lifestyle During Lockdown
Balanced MD, n (%) 100 (54) 72 (42) 0.005
Regular PA, n (%) 67 (36) 43 (25) 0.03

Analysis adjusted for sex, age, balanced diet, regular physical activity during lockdown and PNPLA3 genotype. 1 NASH present in 70 patients, out of 80 biopsies available. 2 Data available in 188 patients (of which 92 did not increase weight, while 96 increased weight after lockdown).