Trial reportJournal of medical Internet research2014
How an online intervention to prevent excessive gestational weight gain is used and by whom: a randomized controlled process evaluation.
Trial report in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01331564 (Electronically-Mediated Weight Interventions for Pregnant and Postpartum Women), which is not on this map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Electronically-Mediated Weight Interventions for Pregnant and Postpartum Women
Who cites it
17 citing papers in PubMed.
- Chronic Headache Education and Self-Management Study (CHESS): a process evaluation.BMC neurology · 2023Trial
- User engagement in relation to effectiveness of a digital lifestyle intervention (the HealthyMoms app) in pregnancy.Scientific reports · 2022Trial
- The effectiveness of an online intervention in preventing excessive gestational weight gain: the e-moms roc randomized controlled trial.BMC pregnancy and childbirth · 2018Trial
- Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial.Journal of medical Internet research · 2017Trial
- Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults.The international journal of behavioral nutrition and physical activity · 2016Trial
- eMoms: Electronically-mediated weight interventions for pregnant and postpartum women. Study design and baseline characteristics.Contemporary clinical trials · 2015Trial
- Effectiveness of a Brief Lifestyle Intervention in the Prenatal Care Setting to Prevent Excessive Gestational Weight Gain and Improve Maternal and Infant Health Outcomes.International journal of environmental research and public health · 2022Article
- Toward understanding the impact of mHealth features for people with HIV: a latent class analysis of PositiveLinks usage.Translational behavioral medicine · 2021Article
- Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight.International journal of environmental research and public health · 2021Article
- Article
- A social media intervention to improve nutrition knowledge and behaviors of low income, pregnant adolescents and adult women.PloS one · 2019Article
- Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2018Article
- Applying behavior change techniques to weight management during pregnancy: Impact on perinatal outcomes.Preventive medicine · 2017Article
- Perceptions of Patient Engagement Applications During Pregnancy: A Qualitative Assessment of the Patient's Perspective.JMIR mHealth and uHealth · 2017Article
- Managing Gestational Weight Gain: Obstetricians' Perceived Barriers and Interventions.The Journal of perinatal education · 2017Article
- Views of Women and Health Professionals on mHealth Lifestyle Interventions in Pregnancy: A Qualitative Investigation.JMIR mHealth and uHealth · 2015Article
- Examining latent trajectories of participant engagement in a 12-month eHealth weight management intervention.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundOnline interventions have emerged as a popular strategy to promote healthy behaviors. Currently, there is little agreement about how to capture online intervention engagement. It is also uncertain who engages with weight-related online interventions and how engagement differs by demographic and weight characteristics.
objectiveThe objectives of this study were to (1) characterize how pregnant women engaged with features of an online intervention to prevent excessive gestational weight gain, (2) identify demographic and weight status subgroups of women within the sample, and (3) examine differences in use of intervention features across the demographic and weight status subgroups.
methodsA sample of racially and socioeconomically diverse pregnant women from a northeastern US city was assigned to the intervention group in a randomized controlled trial to prevent excessive gestational weight gain (n=1014). The intervention website included these features: weight-gain tracker, health-related articles, blogs, physical activity and diet goal-setting tools, and local resources. Engagement variables were created to capture the amount, consistency, and patterns of feature use across pregnancy using latent class analysis. Demographic/weight status subgroups were also created using latent class analysis. Differences in engagement across the demographic/weight status subgroups were examined using chi-square analysis.
resultsSix engagement patterns emerged: "super-users" (13.02%, 132/1014), "medium-users" (14.00%, 142/1014), "consistent weight-tracker users" (14.99%, 152/1014); "almost consistent weight-tracker users" (21.99%, 223/1014), "inconsistent weight-tracker users" (15.98%, 162/1014), and "non-users" (20.02%, 203/1014). Four demographic/weight status subgroups emerged: three minority and one white. There were different engagement patterns by demographic/weight status subgroups. Super-users were more likely to be in the white subgroup, while non-users were more likely to be in the minority subgroups. However, around a third of women in minority subgroups were consistently or almost consistently engaging with the weight-tracker (black, young women, 32.2%, 67/208; black, heavier women, 37.9%, 50/132; Hispanic women, 27.4%, 32/117).
conclusionsWhile white and higher income women had higher engagement in general, depending on the measure, there was still considerable engagement by the minority and low-income women.
trial registrationClinicaltrials.gov: NCT01331564; http://clinicaltrials.gov/ct2/show/NCT01331564 (Archived by WebCite at http://www.webcitation.org/6Rw4yKxI5).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.