Skip to main content

Table 1 Distribution of characteristics by pre-pregnancy weight status perception among 1537 participants* in Project Viva

From: Misperceived pre-pregnancy body weight status predicts excessive gestational weight gain: findings from a US cohort study

 

Entire sample

Normal weight women

Overweight/obese women

Characteristics of participants

n = 1537 (100%)

Accurate assessors n = 898 (58%)

Overassessors n = 131 (9%)

Accurate assessors n = 438 (28%)

Underassessors n = 70 (5%)

 

Mean (SD) or n (percent)

Pre-pregnancy

     

BMI (kg/m2)

25.5 (5.1)

22.4 (1.6)

24.6 (1.2)

31.7 (4.9)

28.2 (2.6)

Sociodemographics

     

   Age (years)

32.3 (4.9)

32.3 (4.8)

33.3 (4.8)

32.5 (4.9)

30.2 (5.2)

   White

1106 (72%)

691 (77%)

102 (78%)

277 (63%)

36 (51%)

   College graduate

1046 (68%)

670 (75%)

97 (75%)

246 (56%)

33 (47%)

   Household income ≤ $40,000

176 (12%)

81 (10%)

11 (9%)

68 (16%)

16 (28%)

   Married or cohabitating

1424 (93%)

834 (93%)

125 (96%)

407 (93%)

58 (83%)

   Employed

1298 (86%)

764 (86%)

103 (79%)

370 (86%)

61 (88%)

Parous

775 (50%)

403 (45%)

74 (56%)

260 (59%)

38 (54%)

History of depression

155 (12%)

85 (11%)

15 (13%)

51 (14%)

4 (7%)

Current smoker

166 (11%)

77 (9%)

15 (12%)

66 (16%)

8 (12%)

Pregnancy

     

Behaviors

     

   Vegetarian diet

93 (6%)

57 (6%)

10 (8%)

21 (5%)

5 (7%)

   Fried food intake away from home (servings/day)

0.1 (0.1)

0.1 (0.1)

0.1 (0.1)

0.2 (0.1)

0.1 (0.1)

   Fruit and vegetable intake (servings/day)

5.9 (2.8)

6.0 (2.7)

6.0 (2.7)

5.6 (3.0)

5.3 (3.6)

   Vigorous activity (hours/day)

0.1 (0.3)

0.1 (0.3)

0.1 (0.2)

0.1 (0.3)

0.1 (0.3)

Gestation length (weeks)

39.5 (1.9)

39.6 (1.9)

39.4 (1.6)

39.3 (2.0)

39.4 (2.0)

Gestational weight gain (IOM categories)

     

   Excessive

823 (54%)

420 (47%)

75 (57%)

271 (62%)

57 (82%)

   Adequate

508 (33%)

363 (40%)

39 (30%)

98 (22%)

8 (11%)

   Inadequate

206 (13%)

115 (13%)

17 (13%)

69 (16%)

5 (7%)

  1. * We had missing data for race (<1%), marital status (<1%), education (<1%), employment (1%), vegetarian diet (2%), smoking (2%), income (7%), fried food intake (13%), fruit and vegetable intake (13%), depression history (13%), and vigorous activity (14%).