| Literature DB >> 19102729 |
Sharon J Herring1, Emily Oken, Jess Haines, Janet W Rich-Edwards, Sheryl L Rifas-Shiman, Ken P Kleinman ScD, Matthew W Gillman.
Abstract
BACKGROUND: Excessive gestational weight gain promotes poor maternal and child health outcomes. Weight misperception is associated with weight gain in non-pregnant women, but no data exist during pregnancy. The purpose of this study was to examine the association of misperceived pre-pregnancy body weight status with excessive gestational weight gain.Entities:
Mesh:
Year: 2008 PMID: 19102729 PMCID: PMC2639379 DOI: 10.1186/1471-2393-8-54
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Distribution of characteristics by pre-pregnancy weight status perception among 1537 participants* in Project Viva
| Entire sample | Normal weight women | Overweight/obese women | |||
| n = 1537 (100%) | |||||
| 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%) |
| 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%) |
* 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%).
Figure 1Proportion of women with excessive gestational weight gain according to pre-pregnancy perceived weight status. *P < 0.05 for comparisons to normal weight accurate assessors, via chi square test.
Odds ratios and predicted prevalences (in selected subgroups) of excessive gestational weight gain calculated from multivariable logistic regression model*
| 1.0 (Referent) | 2.0 (1.3, 3.0) | 2.9 (2.2, 3.9) | 7.6 (3.4, 17.0) | |
| 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.