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Objectively measured physical activity in overweight and obese pregnant women can be predicted by self‐efficacy and pre‐pregnancy BMI
Author(s) -
Kong Kai Ling,
Welch Amy,
Campbell Christina,
Peterson Anna,
LanninghamFoster Lorraine
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.236.4
Subject(s) - pregnancy , overweight , medicine , body mass index , stepwise regression , gestation , obstetrics , linear regression , regression analysis , physical activity , gynecology , physical therapy , statistics , mathematics , biology , genetics
Research in understanding the relationship between self‐efficacy (SE) and physical activity participation during pregnancy is limited. Our purpose was to examine the relative contribution of pre‐pregnancy body mass index (BMI) and walking SE in predicting physical activity during pregnancy. Walking SE of 37 overweight and obese pregnant women was assessed using barrier self‐efficacy (BSE) and task self‐efficacy (TSE) questionnaires. Walking was quantified by step counts using a StepWatch™ Activity Monitor. Linear and stepwise regression analyses were used to identify the relative contribution of pre‐pregnancy BMI, BSE and TSE to step count prediction at the end of the second (Tri2) and late third trimester (Tri3). At Tri2, TSE (r 2 = 0.254, p < 0.003) and BSE (r 2 = 0.123, p < 0.049) significantly predicted step count; however TSE explained 23.4% ( p < 0.003) of the variance, which provided the best model to predict step count according to the stepwise regression analysis. At Tri3, TSE (r 2 = 0.234, p < 0.003) and pre‐pregnancy BMI (r 2 = 0.167, p < 0.015) significantly predicted step count and both variables explained 36% of the variance ( p < 0.001), which provided the best model to predict step count. Interventions designed to increase one's self‐efficacy might be an effective strategy to promote more active lifestyles during pregnancy, especially later in gestation for women with higher pre‐pregnancy BMI. Grant Funding Source : Iowa State University