This article was published January 2017 in the Journal of Medical Internet Research.
This article was written by: Meredith L. Graham, Myla Strawderman, Margaret M. Demment, and Christine M. Olson.
Here is the abstract for this article:
Excessive gestational weight gain (GWG) contributes to the development of obesity in mother and child. Internet-based interventions have the potential for delivering innovative and interactive options for prevention of excessive GWG to large numbers of people.
The objective of this study was to create a novel measure of Internet-based intervention usage patterns and examine whether usage of an Internet-based intervention is associated with reduced risk of excessive GWG.
The website featured blogs, local resources, articles, frequently asked questions (FAQs), and events that were available to women in both the intervention and control arm. Weekly reminders to use the website and to highlight new content were emailed to participants in both arms. Only intervention arm participants had access to the weight gain tracker and diet and physical activity goal-setting tools. A total of 1335 (898 intervention and 437 control) relatively diverse and healthy pregnant women were randomly assigned to the intervention arm or control arm. Usage patterns were examined for both intervention and control arm participants using latent class analysis. Regression analyses were used to estimate the association between usage patterns and three GWG outcomes: excessive total GWG, excessive GWG rate, and GWG.
Five usage patterns best characterized the usage of the intervention by intervention arm participants. Three usage patterns best characterized control arm participants’ usage. Control arm usage patterns were not associated with excessive GWG, whereas intervention arm usage patterns were associated with excessive GWG.
The control and intervention arm usage pattern characterization is a unique methodological contribution to process evaluations for self-directed Internet-based interventions. In the intervention arm some usage patterns were associated with GWG outcomes.
This article was published July 2015 in Contemporary Clinical Trials.
This article was written by: Isabel Diana Fernandez, Susan W. Groth, Jennifer E. Reschke, Meredith L. Graham, Myla Strawderman, and Christine M. Olson.
Here is the abstract for this article:
The influence of childbearing in the development of obesity is situated within two different but related contexts: pregnancy-related weight gain and weight gain prevention and control in young adult women. Pregnancy related weight gain contributes to long-term weight retention in childbearing women.
To present the study design, data collection procedures, recruitment challenges, and the baseline characteristics for the eMoms of Rochester study, a randomized clinical trial testing the effect of electronically-mediated behavioral interventions to prevent excessive gestational weight gain (GWG) and postpartum weight retention among women aged 18–35 years of diverse income and racial/ethnic backgrounds in an urban setting.
Randomized double blind clinical trial. A total of 1722 women at or below 20 weeks of gestation were recruited primarily from obstetric practices and randomized to 3 treatment groups: control arm; intervention arm with access to intervention during pregnancy and control at postpartum (e-intervention 1); and intervention arm with access to intervention during pregnancy and postpartum (e-intervention 2). Enrollment and consent were completed via study staff or online. Data were collected via online surveys, medical charts, and measurement of postpartum weights. The primary endpoints are gaining more weight than recommended by the Institution of Medicine guidelines and weight retained at 12 months postpartum.
This study will provide evidence on the efficacy of behavioral interventions in the prevention of excessive GWG and postpartum weight retention with potential dissemination to obstetric practices and/or health insurances.
On Thursday, May 22nd 2014 the e-Moms of Rochester Healthy Pregnancy study ended. If you participated in the study, we thank you for your time and participation in the study! For any questions or concerns related to Earnings or the study website, please email email@example.com or call 1-866-361-4600.