Table 2

Odds ratios and predicted prevalences (in selected subgroups) of excessive gestational weight gain calculated from multivariable logistic regression model*

Pre-pregnancy weight status perception

Normal weight women

Overweight/obese women

Accurate assessors n = 898

Overassessors n = 131

Accurate assessors n = 438

Underassessors n = 70

Multivariable odds ratios (95% CI)

1.0 (Referent)

2.0 (1.3, 3.0)

2.9 (2.2, 3.9)

7.6 (3.4, 17.0)

Participant characteristics modeled†

Predicted prevalence of excessive gestational weight gain (prevalence ratio) ‡

Aged 23 y, non-white, parous, lower income, less education§

37%

54% (1.5)

64% (1.7)

82% (2.2)

Aged 23 y, white, parous, lower income, less education§

45%

62% (1.4)

70% (1.6)

86% (1.9)

Aged 32 y, white, nulliparous, higher income, well-educated ||

49%

66% (1.3)

74% (1.5)

88% (1.8)

* Data from 1537 mothers participating in Project Viva.

† All groups were married, employed, non-smokers, and had mean pre-pregnancy BMI and gestation length.

‡ Prevalence ratios compare predicted prevalence in each category with normal weight accurate assessors who had the same participant characteristics.

§Household income less than or equal to $40,000 per year, some college or less.

|| Household income more than $40,000 per year, college degree.

Herring et al. BMC Pregnancy and Childbirth 2008 8:54   doi:10.1186/1471-2393-8-54