27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The effectiveness of an online intervention in preventing excessive gestational weight gain: the e-moms roc randomized controlled trial

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Excessive gestational weight gain (GWG) is common and contributes to the development of obesity in women and their offspring. Electronic or e-health interventions have the potential to reach large groups of women and prevent excessive GWG, but their effectiveness has not been demonstrated. The purpose of this study was to evaluate, in a real-world setting, the effectiveness of a self-directed, integrated online and mobile phone behavioral intervention in preventing excessive GWG.

          Methods

          This effectiveness trial was a double-blind, three-arm trial with a parallel group design. Two arms received the same e-health intervention during pregnancy with the third arm serving as the placebo control. The intervention was based on a previously efficacious non-digital intervention that was adapted to electronic format. It included three behavior change tools: a weight gain tracker, and separate diet and physical activity goal-setting and self-monitoring tools. Both treatment conditions received access to informational tools, event reminders, and a blogging feature. Healthy pregnant women age 18-35 years with body mass indexes (BMI) ≥18.5 and < 35, at ≤20 weeks gestation, and an e-mail address were eligible. The proportion of women with excessive total GWG, as defined by the Institute of Medicine (IOM), was the primary outcome. 1689 randomized women were analyzed in the intent-to-treat (ITT) analysis. The study was designed to have 87% power to detect a 10 percentage point reduction from a control rate of 55% with a sample of 1641 ( p = 0.0167, two-sided).

          Results

          In the ITT sample, 48.1% (SD = 2.0%) gained excessively in the intervention group as did 46.2% (SD = 2.4%) in the placebo control group. These proportions were not significantly different (RR 1.09; 95% CI 0.98, 1.20, p = 0.12). The results were not altered in several sensitivity analyses.

          Conclusion

          The addition of three behavior change tools to an informational placebo control did not result in a difference in the proportion of women with excessive total GWG compared to the placebo control in this effectiveness trial of an online, self-directed intervention. The similarity of intervention and control treatments and low usage of the behavior change tools in the intervention group are possible explanations.

          Trial registration

          NCT01331564, ClinicalTrials.gov.

          Electronic supplementary material

          The online version of this article (10.1186/s12884-018-1767-4) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          The Effectiveness of Web-Based vs. Non-Web-Based Interventions: A Meta-Analysis of Behavioral Change Outcomes

          Background A primary focus of self-care interventions for chronic illness is the encouragement of an individual's behavior change necessitating knowledge sharing, education, and understanding of the condition. The use of the Internet to deliver Web-based interventions to patients is increasing rapidly. In a 7-year period (1996 to 2003), there was a 12-fold increase in MEDLINE citations for “Web-based therapies.” The use and effectiveness of Web-based interventions to encourage an individual's change in behavior compared to non-Web-based interventions have not been substantially reviewed. Objective This meta-analysis was undertaken to provide further information on patient/client knowledge and behavioral change outcomes after Web-based interventions as compared to outcomes seen after implementation of non-Web-based interventions. Methods The MEDLINE, CINAHL, Cochrane Library, EMBASE, ERIC, and PSYCHInfo databases were searched for relevant citations between the years 1996 and 2003. Identified articles were retrieved, reviewed, and assessed according to established criteria for quality and inclusion/exclusion in the study. Twenty-two articles were deemed appropriate for the study and selected for analysis. Effect sizes were calculated to ascertain a standardized difference between the intervention (Web-based) and control (non-Web-based) groups by applying the appropriate meta-analytic technique. Homogeneity analysis, forest plot review, and sensitivity analyses were performed to ascertain the comparability of the studies. Results Aggregation of participant data revealed a total of 11,754 participants (5,841 women and 5,729 men). The average age of participants was 41.5 years. In those studies reporting attrition rates, the average drop out rate was 21% for both the intervention and control groups. For the five Web-based studies that reported usage statistics, time spent/session/person ranged from 4.5 to 45 minutes. Session logons/person/week ranged from 2.6 logons/person over 32 weeks to 1008 logons/person over 36 weeks. The intervention designs included one-time Web-participant health outcome studies compared to non-Web participant health outcomes, self-paced interventions, and longitudinal, repeated measure intervention studies. Longitudinal studies ranged from 3 weeks to 78 weeks in duration. The effect sizes for the studied outcomes ranged from -.01 to .75. Broad variability in the focus of the studied outcomes precluded the calculation of an overall effect size for the compared outcome variables in the Web-based compared to the non-Web-based interventions. Homogeneity statistic estimation also revealed widely differing study parameters (Qw16 = 49.993, P ≤ .001). There was no significant difference between study length and effect size. Sixteen of the 17 studied effect outcomes revealed improved knowledge and/or improved behavioral outcomes for participants using the Web-based interventions. Five studies provided group information to compare the validity of Web-based vs. non-Web-based instruments using one-time cross-sectional studies. These studies revealed effect sizes ranging from -.25 to +.29. Homogeneity statistic estimation again revealed widely differing study parameters (Qw4 = 18.238, P ≤ .001). Conclusions The effect size comparisons in the use of Web-based interventions compared to non-Web-based interventions showed an improvement in outcomes for individuals using Web-based interventions to achieve the specified knowledge and/or behavior change for the studied outcome variables. These outcomes included increased exercise time, increased knowledge of nutritional status, increased knowledge of asthma treatment, increased participation in healthcare, slower health decline, improved body shape perception, and 18-month weight loss maintenance.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Pregnancy: a "teachable moment" for weight control and obesity prevention.

            Excessive gestational weight gain has been shown to relate to high-postpartum weight retention and the development of overweight and obesity later in life. Because many women are concerned about the health of their babies during pregnancy and are in frequent contact with their healthcare providers, pregnancy may be an especially powerful "teachable moment" for the promotion of healthy eating and physical activity behaviors among women. Initial research suggests that helping women gain the recommended amount during pregnancy through healthy eating and physical activity could make a major contribution to the prevention of postpartum weight retention. However, more randomized controlled trials with larger sample sizes are needed to identify the most effective and disseminable intervention. Providers have the potential to prevent high postpartum weight retention and future obesity by monitoring weight gain during pregnancy and giving appropriate advice about recommended amounts of gestational weight gain. Copyright 2010 Mosby, Inc. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Approaches for estimating prevalence ratios.

                Bookmark

                Author and article information

                Contributors
                cmo3@cornell.edu
                susan_groth@urmc.rochester.edu
                mlg22@cornell.edu
                jennifer_reschke@urmc.rochester.edu
                mss49@cornell.edu
                diana_fernandez@urmc.rochester.edu
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                9 May 2018
                9 May 2018
                2018
                : 18
                : 148
                Affiliations
                [1 ]ISNI 000000041936877X, GRID grid.5386.8, Division of Nutritional Sciences, 406 Savage Hall, , Cornell University, ; Ithaca, NY 14853 USA
                [2 ]ISNI 0000 0004 1936 9174, GRID grid.16416.34, School of Nursing, , University of Rochester, ; Box SON, 601 Elmwood Ave., Rochester, NY 14642 USA
                [3 ]ISNI 000000041936877X, GRID grid.5386.8, Division of Nutritional Sciences, 352 MVR Hall, , Cornell University, ; Ithaca, NY 14853 USA
                [4 ]ISNI 0000 0004 1936 9166, GRID grid.412750.5, Department of Public Health Sciences, , University of Rochester School of Medicine and Dentistry, ; 265 Crittenden Blvd, CU420644, Rochester, NY 14642 USA
                Article
                1767
                10.1186/s12884-018-1767-4
                5944067
                29743026
                a06b5b06-087c-4cf0-914a-dd64d89fd2bc
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 26 July 2017
                : 24 April 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: U01HL096760
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100009633, Eunice Kennedy Shriver National Institute of Child Health and Human Development;
                Award ID: U01HL096760
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Obstetrics & Gynecology
                gestational weight gain,behavior change,online intervention,pregnancy,randomized controlled trial

                Comments

                Comment on this article