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Modifiable Predictors Associated with Having a Gestational Weight Gain Goal.
- Source :
- Maternal & Child Health Journal; Oct2011, Vol. 15 Issue 7, p1119-1126, 8p
- Publication Year :
- 2011
-
Abstract
- The goal of this paper was to determine predictors of having a weight gain goal in early pregnancy. In 2008, we administered a 48-item survey to 249 pregnant women attending obstetric visits. We examined predictors of women having a goal concordant or discordant with 1990 Institute of Medicine (IOM) guidelines, vs. no goal, using binary and multinomial logistic regression. Of the 292 respondents, 116 (40%) had no gestational weight gain goal, 112 (39%) had a concordant goal and 61 (21%) had a goal discordant with IOM guidelines. Predictors of a guideline-concordant goal, vs. no goal, included sugar sweetened beverage consumption < vs. ≥ 1 serving per week (OR = 2.4, 95%CI: 1.1, 5.7), physical activity ≥ vs. <2.5 h per week (OR = 3.6, 95%CI: 1.7, 7.5), agreeing that 'I tried to keep weight down not to look pregnant' (OR = 14.3, 95%CI: 1.4, 140.5). Other predictors only of having a discordant goal (vs. no goal) included agreeing that 'as long as I am eating well, I don't care how much I gain' (OR = 0.3, 95%CI: 0.2, 0.8) and agreeing that 'if I gain too much weight one month, I try to keep from gaining the next' (OR = 4.1, 95%CI: 1.6, 10.4). Women whose doctors recommended weight gains consistent with IOM guidelines were more likely to have a concordant goal (vs. no goal) (OR = 5.3, 95%CI: 1.5, 18.6). Engaging in healthy behaviors and having health providers offer IOM weight gain recommendations may increase the likelihood of having a concordant gestational weight gain goal, which, in turn, is predictive of actual weight gains that fall within IOM guidelines. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANALYSIS of variance
ATTITUDE (Psychology)
CHI-squared test
CONFIDENCE intervals
DEMOGRAPHY
EPIDEMIOLOGY
GOAL (Psychology)
HEALTH behavior
MEDICAL records
MULTIVARIATE analysis
PATIENTS
RISK assessment
SCALE analysis (Psychology)
STATISTICS
SURVEYS
WEIGHT gain
LOGISTIC regression analysis
DATA analysis
SOCIOECONOMIC factors
BODY mass index
PARITY (Obstetrics)
DATA analysis software
PREGNANCY
Subjects
Details
- Language :
- English
- ISSN :
- 10927875
- Volume :
- 15
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Maternal & Child Health Journal
- Publication Type :
- Academic Journal
- Accession number :
- 65301125
- Full Text :
- https://doi.org/10.1007/s10995-010-0659-7