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Full-Text Articles in Public Health Education and Promotion
Process Evaluation Methods And Results From The Health In Pregnancy And Postpartum (Hipp) Randomized Controlled Trial, Sarah Wilcox Phd, Alicia A. Dahl, Alycia K. Boutté, Jihong Liu Sc.D., Kelsey Day, Gabrielle Turner-Mcgrievy Ph.D., Rd, Ellen Wingard
Process Evaluation Methods And Results From The Health In Pregnancy And Postpartum (Hipp) Randomized Controlled Trial, Sarah Wilcox Phd, Alicia A. Dahl, Alycia K. Boutté, Jihong Liu Sc.D., Kelsey Day, Gabrielle Turner-Mcgrievy Ph.D., Rd, Ellen Wingard
Faculty Publications
Background
Excessive gestational weight gain has increased over time and is resistant to intervention, especially in women living with overweight or obesity. This study described the process evaluation methods and findings from a behavioral lifestyle intervention for African American and white women living with overweight and obesity that spanned pregnancy (≤ 16 weeks gestation) through 6 months postpartum.
Methods
The Health in Pregnancy and Postpartum (HIPP) study tested a theory-based behavioral intervention (vs. standard care) to help women (N = 219; 44% African American, 29.1 ± 4.8 years) living with overweight or obesity meet weight gain guidelines in pregnancy and …
Content Analysis Of Public Instagram Posts About Pelvic Floor Disorders And Pelvic Floor Muscle Training In Pregnancy, Lauren R. Rudin, Molly E. Waring
Content Analysis Of Public Instagram Posts About Pelvic Floor Disorders And Pelvic Floor Muscle Training In Pregnancy, Lauren R. Rudin, Molly E. Waring
Honors Scholar Theses
Objective: To analyze the content of public Instagram posts and describe the discussion of pelvic floor disorders (PFDs) and pelvic floor muscle training (PFMT)/pelvic floor physical therapy (PFPT) in pregnancy. Methods: Public Instagram accounts based in the U.S. with posts within the past 7 days focused on pregnancy were included. We analyzed English posts related to pelvic floor health, PFDs or PFMT. We categorized accounts by user type, health-related expertise, business endorsement, and influencer status. We categorized posts by content (informative, recommendation, sharing experience, meme, advertisement), context (informative, preventive, interventive), and terminology (scientific, lay). We used chi-squared tests to compare …