A randomized controlled trial to prevent excessive gestational weight gain and promote postpartum weight loss in overweight and obese women: Health In Pregnancy and Postpartum (HIPP)

Wilcox, Sara; Liu, Jihong; Addy, Cheryl L.; Turner‐McGrievy, Gabrielle; Burgis, Judith; Wingard, Ellen; Dahl, Alicia A.; Whitaker, Kara M.; Schneider, Lara; Boutté, Alycia K.

doi:10.1016/j.cct.2018.01.008

Cited by 43 publications

(39 citation statements)

References 90 publications

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“…One approach was through psychoeducation. For example, pregnant and postpartum women obtained health information, identified risk behaviors and situations, learned to set achievable goals, and used behavior skills [28,29]. Thus, the participants were expected to manage their weight or control glucose by increasing their physical activity and changing dietary intake [27,30-32].…”

Section: Resultsmentioning

confidence: 99%

Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis

Chan¹,

Chen²

2019

JMIR Mhealth Uhealth

154

120

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Background The use of social media and mobile health (mHealth) apps has been increasing in pregnancy care. However, the effectiveness of these interventions is still unclear. Objectives We conducted a meta-analysis to examine the effectiveness of these interventions with regard to different health outcomes in pregnant and postpartum women and investigate the characteristics and components of interventions that may affect program effectiveness. Method We performed a comprehensive literature search of major electronic databases and reference sections of related reviews and eligible studies. A random effects model was used to calculate the effect size. Results Fifteen randomized controlled trial studies published in and before June 2018 that met the inclusion criteria were included in the meta-analysis. The interventions were effective in promoting maternal physical health including weight management, gestational diabetes mellitus control, and asthma control with a moderate to large effect size ( d =0.72). Large effect sizes were also found for improving maternal mental health ( d =0.84) and knowledge about pregnancy ( d =0.80). Weight control interventions using wearable devices were more effective. Conclusion Social media and mHealth apps have the potential to be widely used in improving maternal well-being. More large-scale clinical trials focusing on different health outcomes are suggested for future studies.

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Section: Resultsmentioning

confidence: 99%

Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis

Chan¹,

Chen²

2019

JMIR Mhealth Uhealth

154

120

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“…Consistent with best practices [66], our approach will include multiple strategies, ranging from monetary reimbursement to orientation sessions conducted prior to randomization [69]. To our knowledge, GLOW is one of only two trials to implement the MMI orientation session approach among pregnant women [76].…”

Section: Discussionmentioning

confidence: 99%

Gestational weight gain and optimal wellness (GLOW): rationale and methods for a randomized controlled trial of a lifestyle intervention among pregnant women with overweight or obesity

Brown

Hedderson

Ehrlich

et al. 2019

BMC Pregnancy Childbirth

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Background Excess gestational weight gain (GWG) is common among women with overweight or obesity, increasing their risks for pregnancy complications, delivering a large infant, and postpartum weight retention. To date, only intensive interventions have had success and few interventions have been designed for implementation in healthcare settings. Methods We describe the development, rationale, and methods of GLOW (GestationaL Weight Gain and Optimal Wellness), a randomized controlled trial evaluating the efficacy of a lifestyle intervention to prevent excess GWG among racially/ethnically diverse women with overweight or obesity in an integrated healthcare delivery system. Participants in Kaiser Permanente Northern California will be randomized, within 2 weeks of completing a study baseline clinic visit at 10 weeks’ gestation, to either usual medical care or a multi-component pregnancy lifestyle intervention adapted from the Diabetes Prevention Program (target N = 400). Informed by focus groups with patients and designed to be feasible in a clinical setting, the intervention will include 13 weekly individual sessions (11 delivered by telephone) focused on behavior change for weight management, healthy eating, physical activity, and stress management. Outcomes will be assessed in women and their infants from randomization to 12 months postpartum. The primary outcome is GWG. Secondary outcomes include changes in diet and physical activity during pregnancy and infant birthweight. Exploratory outcomes include cardiometabolic profile assessed via pregnancy blood samples and cord blood samples; and postpartum weight retention and infant anthropometrics up to 12 months of age. The trial includes systematic approaches to enhance intervention fidelity, intervention adherence, and participant retention in trial assessments. Discussion GLOW is among few trials targeting excess GWG among diverse women with overweight or obesity in a healthcare setting, with long-term maternal and infant outcomes assessed up to 12 months after delivery. This evaluation of a multi-component intervention is designed to produce generalizable results to inform potential adoption of the intervention in clinical settings. Trial registration ClinicalTrials.gov ( NCT02130232 ): submitted April 30, 2014; posted May 5, 2014. Electronic supplementary material The online version of this article (10.1186/s12884-019-2293-8) contains supplementary material, which is available to authorized users.

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“…Figure 4 illustrates a different input-output model structure for urban and rural area data. Nevertheless, some limitations of the current study are as follows: In previous studies, the parity of mothers [ 86 ] was found to be one of the factors that lead to postpartum obesity and should be included in a model. Therefore, the suggestion to study this factor in future research on account of its significance is proposed.…”

Section: Discussionmentioning

confidence: 98%

“…In previous studies, the parity of mothers [ 86 ] was found to be one of the factors that lead to postpartum obesity and should be included in a model. Therefore, the suggestion to study this factor in future research on account of its significance is proposed.…”

Section: Discussionmentioning

confidence: 99%

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

Jenatabadi

Radzi

Samsudin

2020

IJERPH

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As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: i) development of a previously created postpartum obesity modeling; ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women’s BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

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A randomized controlled trial to prevent excessive gestational weight gain and promote postpartum weight loss in overweight and obese women: Health In Pregnancy and Postpartum (HIPP)

Abstract: HIPP is an innovative study that addresses significant gaps in the literature. Primary outcome results are expected in 2019.

Cited by 43 publications

References 90 publications

Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis

Effects of Social Media and Mobile Health Apps on Pregnancy Care: Meta-Analysis

Gestational weight gain and optimal wellness (GLOW): rationale and methods for a randomized controlled trial of a lifestyle intervention among pregnant women with overweight or obesity

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

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