Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems Methodology
Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems Methodology
The goal of this clinical trial is to see if the enhanced HMZ 2.0 intervention with new control system/digital platform to regulate gestational weight gain (GWG) and impact maternal-infant outcomes while collecting implementation data works and can be given to other pregnant women in various settings. The question this study aims to answer are:
144 pregnant women with overweight/obesity will be randomized to either the HMZ 2.0 intervention or attention control groups from ~8-36 weeks gestation. All participants will be asked to:
The weekly sessions will differ based on intervention group. The HMZ 2.0 intervention group will receive education, create and follow goal-setting and action plans, self-monitor their behaviors, and receive feature evidence and fetal growth facts. Education, goals, and self-monitoring will focus on GWG, physical activity, eating behaviors, sleep, self-regulating behaviors and emotions, and preparing for labor/delivery and postpartum.
The attention control group will receive weekly sessions on preparing for labor/delivery and benefits of behavioral pain management strategies (e.g., mindfulness-based relaxation, imagery, music, massage, deep-breathing) to help with pain after childbirth without medicine.
Pre-intervention: Onsite procedures. Pregnant women with overweight/obesity enrolled in the study will be asked to complete assessments (≥8 and <18 weeks gestation) at the Penn State Clinical Research Center (University Park or Hershey campus) or at home via Zoom. A study staff member will describe the study and obtain consent. Women with any health issues will be asked to follow-up with their provider and/or given a referral as needed. Subjects will have access to REDCap (Research Electronic Data Capture), a secure, web-based application to complete online surveys for social cognitive outcomes for PA and EI (eating healthy/ limiting unhealthy foods), and sleep and eating behaviors. A staff member will answer questions and explain the free-living procedures. This visit will take ~90 minutes.
Pre-intervention: Free-living procedures. A 7-9-day period will provide a grounding of each subject's baseline physical activity (including sedentary behavior), energy intake, social cognitive determinants, and sleep/eating behaviors for the individual energy balance model to predict GWG. Energy intake kcal will be estimated with the back-calculation method utilizing measured weight, physical activity, and resting metabolic rate (quadratic regression formula). There is not a set threshold of data compliance for back-calculating energy intake, the investigators will use strategies to reach similar compliance (>90%) as our feasibility trial and other studies that used a run-in phase. Only women with no weight or physical activity data during this period will be excluded. On the morning of each day of the 7-9-day free-living protocol, subjects will be asked to complete study measures. The investigators will prompt with daily reminders and follow-up with non-compliant women to resolve barriers/technology issues.
Measurement procedures over study period. Subjects will use mHealth tools for real-time data collection on our energy balance and behavior model constructs to predict GWG in the Control Optimization Trial and assess sleep/eating behaviors. Data collection will occur: daily for GWG and physical activity/sedentary behavior/sleep; weekly for physical activity/energy intake social cognitive determinants (online in REDCap), and on at least 2 weekdays/1 weekend for energy intake diet quality. Monthly measures of eating behaviors and psychosocial health will be assessed.
Post-intervention assessments. Maternal GWG, physical activity, sedentary behavior, energy intake, social cognitive determinants, and sleep/eating behaviors will be obtained with the same mHealth devices/procedures as described above in the pre-intervention assessments. To reduce subject burden, there will be no onsite post-assessments.
Labor and delivery data will be abstracted from the medical record with patient HIPAA authorization.
Randomization. A staff member will request randomization after the pre-intervention measures by unique subject ID number. The study biostatistician, will develop the randomization scheme using variable-size, random permuted blocks to ensure number of subjects in each group is balanced after each set of B randomized subjects where B is block size. Randomization to control (n=72) and intervention (n=72) groups will use 1:1 allocation; subjects will be entered consecutively. Randomization will be stratified by pre-pregnancy BMI status (< 29.9 kg/m2 vs. ≥ 30 kg/m2). A staff member will call each woman to inform her of study assignment and schedule her for the first session (attention control or HMZ 2.0 intervention).
Inclusion Criteria:
Exclusion Criteria:
Absolute contraindications to exercise:
Relative contraindications to exercise (if permission is not given by provider):
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