Gestational Weight GainHMZ TwoNCT05807594
Healthy Mom Zone Gestational Weight Gain Management Intervention 2.0
A study testing HMZ 2.0 Intervention in people with Gestational Weight Gain and Overweight and Obesity, run by Penn State University at 1 site in United States.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 to 45 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- Gestational Weight Gain, Overweight and Obesity, Pregnancy
- What is being tested?
- HMZ 2.0 Intervention
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 144 participants
- Where
- 1 siteUnited States
- Study dates
- 27 Nov 2023to 31 Jan 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 45 years
- Women only
- Healthy volunteers accepted
- Adult
Who may be able to join
- Pregnant women
- ≥ 8 and < 18 weeks gestation at time of screening. This range of gestational age is chosen to: a) reduce chances of false pregnancy or miscarriage under 8 weeks gestation and b) recruit women in the 1st trimester for greatest impact of the intervention on gestational weight gain. In the feasibility and initial impact study, the investigators had less than 10% (n=3) miscarriages prior to randomization using these criteria
- Singleton gestation
- Not currently heavily smoking (>20 cigarettes/day)
- Any parity (i.e., first-time pregnancy, second pregnancy, etc.)
- Any race/ethnicity
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- Ages 18-45 years
- Body mass index (BMI) range 20.0 to 45.0. If BMI is over 40, consultation with woman's health care provider will be made to determine eligibility and ensure she does not have any contraindications to physical activity or other concerns with intervention participation.
- Haven't exceeded 25% or more of their total GWG (based on BMI and IOM guidelines) from pre-pregnancy to date of enrollment.
- Participant has physician consent to confirm subject participation
- Able to read, understand, and speak English
- Access to a computer/phone
- Willingness and ability to complete study materials and intervention sessions electronically (e.g., email, Facetime, Zoom), at home (e.g., Zoom sessions delivered synchronous and asynchronous) or if requested by the participant, on-site at Penn State University Park or Hershey campuses.
- No current use of weight loss medications
- No current participation in another interventional study or program that influences weight control
- No planned bariatric surgery during this current pregnancy
- No absolute contraindications to exercise in pregnancy and relative contraindications with provider consent (see below)
Who cannot join
- Not pregnant women
- Men (unable to become pregnant)
- Multiple gestation
- < 8 weeks gestation or > 18 weeks gestation at time of pre-intervention assessment
- Currently smoking > 20 cigarettes/day
- Outside of the age range of 18-45 years
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- Outside of the BMI range of 20.0-45.0
- Exceeded 25% of their total GWG (based on BMI and IOM guidelines) from pre-pregnancy to date of enrollment
- Not able to read and/or understand English
- Unable to access materials by computer or phone (even with data plan assistance if necessary)
- Current use of weight loss medications
- Current participation in another interventional study or program that influences weight control
- Planned bariatric surgery during this current pregnancy
- Contraindications to aerobic exercise in pregnancy:
- Absolute contraindications to exercise:
- Hemodynamically significant heart disease
- Restrictive lung disease (pulmonary fibrosis, sarcoidosis, pleural effusion, neuromuscular disease). This DOES NOT include ASTHMA
- Incompetent cervix/cerclage
- Severe anemia
- Multiple gestation at risk for premature labor
- Persistent 2nd or 3rd trimester bleeding
- Placenta previa after 26 weeks gestation
- Premature labor during the current pregnancy
- Ruptured membranes
- Poorly controlled chronic hypertension
- Preeclampsia diagnosis during current pregnancy
- Poorly controlled Type 1 diabetes
- Relative contraindications to exercise (if permission is not given by provider):
- Unevaluated maternal cardiac arrhythmia
- Chronic bronchitis
- Extreme morbid obesity (BMI > 40.0; needs provider consent to participate)
- Extreme underweight (BMI < 12.0)
- History of extremely sedentary lifestyle
- Current eating disorder(s) diagnosis
- Severe food allergies and/or dietary restrictions that may preclude study participation.
- Intrauterine growth restriction in current pregnancy
- Poorly controlled respiratory disorder (severe asthma) that precludes study participation
- Orthopedic limitations
- Poorly controlled seizure disorder
- Poorly controlled thyroid disease
- Uncontrolled sleep disorder (insomnia, sleep-disordered breathing)
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site, 1 recruiting
- Recruiting
Pennsylvania State University
University Park, Pennsylvania, 16802
Abigail M Pauley, PhD, 814-865-0840, amp34@psu.edu
Danielle Symons Downs, PhD
About this study
Official title: 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:
- Does the new intervention manage GWG?
- Does the new intervention have any influence on sleep and eating behaviors and infant outcomes.
- Does the new platform and other data collected help inform how well the research and information can be used in health care settings?
Read more
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:
- Weight themselves and wear an activity monitor each day over the study.
- Complete online surveys at either a weekly or monthly level about their thoughts, attitudes, and behaviors on GWG, physical activity, eating behaviors, sleep, their anxiety, depression, and stress.
- Attend weekly sessions with a registered dietician.
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.
Read the detailed description
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).
- Being tested
- HMZ 2.0 Intervention, Attention Control Intervention
- Medical subject headings
- Gestational Weight Gain, Overweight, Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
HMZ 2.0 InterventionBehavioural
The intervention may be adapted such that a woman receives more support with each adaptation (only women who need added support to regulate GWG will receive adaptation). The model-based predictive control system in the HMZ 2.0 digital platform will continually and automatically evaluate GWG, identify when a woman may exceed GWG guidelines, and recommend an adaptation. The registered dietitian will review the data and behavior strategies that are suggested (guided PA workouts, EI cooking demonstrations, customized grocery planning, portion size control, food scales, and meal replacements). Practical, easy-to-adopt examples will be provided (walking in 5-10 min increments throughout the day to increase PA kcal, reduce sitting by 5 min/hour; replace 8 oz of whole milk with skim milk to reduce EI kcal) to facilitate behavior change while adhering to safety standards. Each woman's unique preferences and past successes with strategies are also considered when personalizing the dosage.
Attention Control InterventionBehavioural
Consistent with guidelines for comparator groups, all women will receive prenatal care offered by recruitment sites with routine provider visits, counseling about prenatal behaviors (e.g., no smoking), and clinical oversight of health. Women randomized to the attention control group will complete the same measurement procedures as the intervention group.
| Study group | Role | What they receive |
|---|---|---|
| HMZ 2.0 Intervention Group | Experimental | HMZ 2.0 will be delivered by a registered dietitian in weekly didactic, one-on-one discussions in remote synchronous format (e.g., Zoom). If a subject has internet connectivity issues, she will be able to participate in the remote sessions from an onsite location (e.g., laboratory space on the Penn State University Park campus, clinical space at Hershey campus or Geisinger). All intervention women will receive the baseline intervention delivered as a maximum of 24 weekly modules (depending on gestational age at enrollment) which includes: Education and Counseling (GWG/PA/EI/sedentary behaviors/sleep behaviors/stress management, etc.), Goal-Setting and Action Plans (guided and self-selected PA/EI goals including recipe and workout booklet use), Self-Monitoring (wearing/using mHealth tools to monitor GWG/PA/EI/sleep), and Featured Evidence and Fetal Growth Facts (evidence-based studies and baby growth fun facts shared with women about how mom's health impacts her baby). Receives: Behavioral: HMZ 2.0 Intervention |
| Attention Control Group | Active comparator | All women will receive prenatal care offered by recruitment sites with routine provider visits, prenatal counseling, brief discussions on healthy prenatal behaviors, and clinical oversight of health (e.g., monitor glucose levels if diagnosed with gestational diabetes during the study period). Women randomized to the attention control group will complete the same measurement procedures as the intervention group. To match the HMZ intervention group, women will receive weekly, remote-delivered education content (60 min/session) on preparing for labor/delivery and benefits of behavioral pain management strategies (e.g., mindfulness-based relaxation, imagery, music, massage, deep-breathing) to regulate pain after childbirth with non-pharmacological approaches. Content is drawn from evidence-based guidelines and materials designed by Dr. Downs and her team for a Patient-Provider Toolbox to reduce opioid-related pain management use after childbirth. Receives: Behavioral: Attention Control Intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Gestational Weight Gain and Weight Change
Weight and GWG will be assessed daily at home using the FitBit Aria Air Smart Scale (weights will be uploaded to online program via Bluetooth). GWG will be standardized: target weight gain will be determined for each woman based on BMI status (OW = 15-25 lb., OB = 11-20 lb.). For the criterion measure to determine when to adapt the intervention, weight gain will be calculated to determine if a woman is gaining < her goal (-), at the exact amount of her goal (0), or > her goal (+). Pre-pregnancy weight and GWG from the first prenatal visit to the last pre-delivery weight will also be obtained from clinical records. Weight will also be assessed at the Penn State Clinical Research Center using standard procedures (measured in duplicate to nearest kg using a high precision stand-on adult scale).
Measured: Measured daily at pre-post intervention and daily throughout the intervention study period (~6 months).
Physical Activity (PA) and Sedentary Behavior
Women will wear the wrist-worn Fitbit Charge 5 (Fitbit Inc., San Francisco, CA) 24 hours/day from the pre-intervention assessment until the end of the post-intervention assessment. The Fitbit Charge 5 will be used for continuous PA measure for our energy balance model to predict GWG. It will measure activity kcal, steps, minutes in sedentary/light/moderate PA. The waist-mounted ActiGraph GT3X will be worn at pre- and post-intervention during waking hours to assess PA and sedentary behavior (activity kcal, steps, minutes in sedentary/light/moderate PA). While the ActiGraph is considered a "gold standard" PA measure, our pilot data showed high burden for PW-OW/OB to wear it continuously; thus, it will be used as a pre-post intervention PA measure only.
Measured: Measured daily at pre-post intervention (Fitbit Charge 5 and ActiGraph) and daily (Fitbit Charge 5) throughout the intervention study period (~6 months).
Energy Intake (EI) Estimation (Back-Calculation of Energy Intake)
Self-report EI measures under-estimate EI by 35-59%; EI under-reporting is common in people with obesity and especially in PW-OW/OB. Because our energy balance model relies on accurate EI/PA estimates to predict GWG (and our PA/weight measures provide accurate estimates), EI under-reporting compromises the prediction. EI is estimated from measured W (Aria Wi-Fi scale), PA (Fitbit Charge 5 activity monitor), and resting metabolic rate (RMR; Breezing mobile metabolism device) with k=1, 2,… N relating to day 1- day N. T is the sampling time (T=1 day). The noise in W is small relative to the total W, but the extent of this noise can affect the calculated rate of GWG/day, so a 5-day moving average filter is used to preprocess (smooth) measured W before "true" daily EI is estimated.
Measured: Measured at pre-post intervention and daily throughout the intervention study period (~6 months).
Secondary outcomes (18)
Theory of Planned Behavior Constructs: Healthy Eating/Limit Unhealthy Eating Attitude, Subjective Norm, Perceived Behavioral Control, Intention
The Theory of Planned Behavior will inform our dynamical model in order to create individualized interventions for OW/OBPW. Beliefs: These items were developed to assess Theory of Planned Behavior (TPB) behavioral, control, and normative beliefs. Main Constructs: The Theory of Planned Behavior (TPB) Healthy Eating Main Constructs measure is a 38-item measure developed to assess the main constructs of the TPB (i.e., attitude, subjective norm (SN), perceived behavioral control (PBC), intention) as they relate tohealthy eating behavior. Scoring for the TPB is the sum of each subscale. Attitude and Limit Attitude range of scores: 7-49 - higher score means greater/more positive attitude; SN and Limit SN range: 3-21 - higher score greater/more positive subjective norm; PBC and Limit PBC range: 3-21 - higher score greater/more positive PBC; Intention range: 6-42 - higher score greater/more positive intention.
Measured: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Theory of Planned Behavior Constructs: Physical Activity Attitude, Subjective Norm, Perceived Behavioral Control, Intention
The Theory of Planned Behavior will inform our dynamical model in order to create individualized interventions for OW/OBPW. Beliefs: These items were developed to assess Theory of Planned Behavior (TPB) behavioral, control, and normative beliefs. Main Constructs: The Theory of Planned Behavior (TPB) Healthy Eating Main Constructs measure is a 38-item measure developed to assess the main constructs of the TPB (i.e., attitude, subjective norm (SN), perceived behavioral control (PBC), intention) as they relate to healthy eating behavior. Scoring for the TPB is the sum of each subscale. Attitude range of scores: 7-49 - higher score means greater/more positive attitude; SN range: 3-21 - higher score greater/more positive subjective norm; PBC range: 3-21 - higher score greater/more positive PBC; Intention range: 6-42 - higher score greater/more positive intention.
Measured: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Self-Regulation Healthy Eating Constructs: Prospective/ Retrospective Control, Action Planning
Self-regulation of HE will be measured in order to inform our dynamical model and to how well OW/OBPW are at regulating their energy intake and expenditure and how it impacts their GWG.
These items were taken from Ryan Rhodes items for self-regulation of PA and adapted for HE behaviors. Ryan has indicated that these items work really well as an index for HE self-regulation because these behaviors are naturally inter-connected but to look at specific self-regulatory behaviors: self-monitoring, goal-setting, action planning, coping planning, scheduling, affective There are also 2 sets of 8 questions-first 8 examine prospective behaviors while the second set assesses retrospective behaviors.
Retrospective scores range from 11-55 and Prospective scores range from 11-55. Total scores range from 22-110. A higher score indicates higher levels of HE self-regulation.
Measured: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Self-Regulation Physical Activity Constructs: Prospective/ Retrospective Control, Action Planning
Self-regulation of PA will be measured in order to inform our dynamical model and to how well OW/OBPW are at regulating their energy intake and expenditure and how it impacts their GWG. These items are taken from Ryan Rhodes. Ryan has indicated that these items work really well as an index because these behaviors are naturally inter-connected but to look at specific self-regulatory behaviors: Item #1: self-monitoring, Item #2: goal-setting, Item # 3: action planning, Item #4: coping planning, Item #5: scheduling, Item #6, 7, 8, 9: cuing, Items 10 \& 11: affective. There are also 2 sets of 8 questions-first 8 examine prospective behaviors while the second set assesses retrospective behaviors. Retrospective scores range from 11-55 and Prospective scores range from 11-55. Total scores for overall self-regulation range from 22-110. A higher score indicates higher levels of PA self-regulation.
Measured: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Resting Metabolic Rate
RMR will be calculated using a quadratic regression formula. Our pilot data showed no significant difference and similar means in PW-OW/OB's RMR when it was measured with the Breezing mobile metabolism device vs. estimated with the equation, thus we will estimate RMR with the formula to reduce subject burden.
Measured: Measured at pre- and -post intervention of the 6 month intervention study period.
Diet Quality
Self-reported diet quality will be assessed with the Smartphone app MyFitnessPal. Women will record their intake on at least 2 weekdays and 1 weekend per week over the study as a global indicator of their diet quality. This information will be used to personalize the intervention goals from week to week.
Measured: Measured at pre-post intervention and weekly (3 days/week) throughout the intervention study period (~6 months).
Pittsburgh Sleep Quality Index
The Pittsburgh Sleep Quality Index (PSQI) is an 18-item valid/reliable measure to measure the quality and patterns of sleep in older adults. It differentiates "poor" from "good" sleep by measuring seven areas: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication and daytime dysfunction over the last month. The participant self-rates each of these seven areas of sleep. Scoring of answers is based on a 0 to 3 scale, whereby 3 reflects the negative extreme on the Likert Scale. Scores can range from 0-21. An overall sleep quality score greater than or equal to 5 reflects poor sleep quality. The outcome reported is overall sleep quality.
Measured: Measured once at pre-post intervention and monthly throughout the intervention study period (~6 months)
Sleep Behaviors - FitBit Charge 5 Activity Monitor
The Fitbit Charge 5 will give a continuous PA measure in our energy balance model to predict GWG and assess sleep behaviors (time to sleep/wake, minutes of sleep/nighttime awakenings/light and deep rapid eye movement).
Measured: Measured daily at pre-post intervention and daily throughout the intervention study period (~6 months).
PROMIS Sleep Disturbance Short Form
The PROMIS Sleep Disturbance (PROMIS-SD) Short Form is an 8-item questionnaire that assesses sleep disturbances in individuals 18 or older. Each item rates the severity of the individual's sleep disturbance during the past 7 days. The measure is rated on a 5-point scale (1=never; 2=rarely; 3=sometimes; 4=often; and 5=always) with a range in score from 8 to 40 with higher scores indicating greater severity of sleep disturbance.
Measured: Measured daily at pre-post intervention and daily throughout the study period (~6 months)
Activity and Sleep Logs
The PA log will track device use and monitor wear time (ActiGraph during pre-post intervention assessment period and Fitbit Charge 5 at pre- and post-intervention and throughout the study and the sleep log will also track time to bed and awake.
Measured: Measured daily at pre-post intervention and daily throughout the study (~6 months)
Three Factor Eating Questionnaire
The Three Factor Eating Questionnaire is a 51-item questionnaire developed to measure three dimensions of human eating behavior: 1) dietary restraint, or cognitive control of eating behavior, 2) dietary disinhibition, or disinhibition of cognitive control of eating, and 3) susceptibility to hunger. The investigators are only using 18 items of the revised TFEQ. The TFEQ is examined by subscale scores and not by a total score. Subscale scores for the cognitive restraint scale range from 3-12; higher scores indicate higher levels of cognitive restraint of eating. Uncontrolled eating scale range from 9-36; higher scores indicate higher levels of uncontrolled eating behaviors. Emotional eating scale range from 6-24; higher scores indicate higher levels of emotional eating behaviors. Outcome measure results are reported as the score during the post-intervention week.
Measured: Measured once at pre-post intervention and monthly throughout the intervention study period (~6 months)
Infant Birth Outcomes
Birth weight will be abstracted from the labor and delivery electronic health record along with infant length, sex, and gestational age and date of birth. These data will be used to determine infant birth weight for length based on percentiles for gestational age at delivery and sex estimated by the World Health Organization. In the event that birth weight data are missing or unavailable from the medical record, the investigators will obtain birth weight and related information from the participant's self-report.
Measured: Measured at delivery of child. Data will be retrieved from medical records.
Maternal-Infant Labor/Delivery and Adverse Pregnancy Outcomes
Labor and delivery data will be abstracted from the medical record and will include infant APGAR score, mode of delivery (vaginal or cesarean), and adverse pregnancy outcomes (e.g., diagnosis of gestational diabetes, insulin use, preeclampsia, depression, labor/delivery issues and other complications). In the event that labor/delivery data is missing or unavailable from the medical record, the investigators will obtain information from the participant's self-report.
Measured: Measured at labor/delivery. Data will be retrieved from medical records.
Implementation Markers: Subject engagement/participation and acceptability
Subject engagement/participation: fidelity monitoring will be conducted by a trained staff observer who will watch video recordings of 50% of intervention sessions and follow a review checklist to measure engagement (degree of subject responsiveness with session content, discussion, and activities.
Subject acceptability: subjects and staff will be asked to complete weekly checklists to assess: attendance (0-100% attendance at pre/post-intervention sessions for all subjects; 0-100% attendance at baseline dosage/adaptive dosage sessions for intervention subjects); compliance (0-100% compliance with mHealth tools during free-living pre/post intervention sessions and daily [Wi-Fi weight scale, PA monitor], weekly [EI diet quality phone app, online surveys], and monthly [online surveys] for all subjects over the study period; 0-100% compliance with session activities); and quality/completeness of data (0-100% of usable data for each subject).
Measured: Through study completion, approximately 6 months
Implementation Markers: Subject Facilitators and Barriers
N=12 women will be selected the interviews who had excellent compliance to get quality feedback on facilitators/benefits. N=13 women will be selected for interviews who had challenges with compliance to gain key insight about barriers. Interviews are expected to take 45-60 minutes.
Measured: Measured at post-intervention, approximately at 34-37 weeks gestation
Implementation Markers: Clinician Stakeholder Facilitators and Barriers
Feedback from key clinician stakeholders (i.e., registered dietitians, nurses, OB/Gyn providers; (N=20; n=10 HMC, n=10 Geisinger) will be obtained to understand facilitators/barriers to using the HMZ 2.0 digital platform. Clinicians will be asked to participate in a brief 10-min asynchronous training session that explains the HMZ 2.0 digital platform. They will then be asked to participate in a tutorial session using the HMZ web-based user interface to review an example patient's data, see graphical displays, manipulate PA/EI kcals to see correspondence with changes in predicted GWG, and review the host of recommended PA/EI strategies that will be recommended to implement with the patient. Semi-structured interviews with each clinician will be conducted to understand key facilitators/barriers to the platform.
Measured: Measured at study completion and once all participants have completed the study, which could be roughly 2 years after start of study
Implementation Markers: Staff engagement, burden
Staff engagement: fidelity monitoring will be conducted by a trained staff observer who will watch video recordings from the same sample of 50% of video recordings noted above and follow a review checklist to measure engagement (enthusiasm, preparedness, session delivery effectiveness, responsiveness to subject).
Staff burden: weekly checklists completed by staff regarding amount of time spent preparing for sessions, responding to/following-up with subjects, using the HMZ 2.0 digital platform, and issues with delivering dosage recommendations to the subjects.
Measured: Through study completion, approximately 6 months
Implementation Markers: Dosage exposure
Dosage exposure will be assessed by: a) weekly checklists completed by subjects/staff regarding amount of program content delivered/received (goal 90%+ coverage); b) fidelity monitoring by trained staff observer who will watch video recordings from the same sample of 50% of video recordings noted above; and c) tracking # of dosage changes determined by controller, # days between dosage change recommendation and implementation by staff, and type of active learning strategies in added dosages.
Measured: Through study completion, approximately 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Apr 2023
- Study start27 Nov 2023
- Primary completion31 Jan 2028 (estimated)
- Study completion31 Jan 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for Gestational Weight GainStudies of the same condition, open and under way.
- More trials run by Penn State UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- 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 the 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. greater than or equal to 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).
- Masking
- None (open label)
- Enrolment
- 144 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Penn State University
- Sponsor type
- University, hospital or other
- Collaborators
- Arizona State University
- Responsible party
- Principal investigator, Danielle Downs, Penn State University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05807594
- Sponsor's protocol ID
- 00019075
- Acronym
- HMZ Two
- Status last verified
- Jan 2026
- First submitted
- 6 Mar 2023
- Last updated
- 16 Jan 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: To gain access to restricted data, researchers must submit a User Agreement and Distribution Agreement. The User Agreement specifies that the investigator will only use the data for the specific project as described. The User Agreement is not transferable to another recipient or facility and data may only be shared with others by obtaining them directly through the PI. The recipient must also agree to not attempt to establish the individual identities of participants who provided the data. The Distribution Agreement includes a detailed description of the proposed project. The proposal must include personal identification and institutional affiliation, a current resume, source of funding, a detailed summary of the proposed research including a statement of why publicly available data are insufficient, and a complete list of data requested, including data system, files, years, variables, and the like. The PI and a subcommittee of the research team will review all proposals.
Publications
Khan O, Campregher F, Rivera DE, Visioli A, Pauley AM, Downs DS. An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control. IEEE Int Conf Commun. 2025 Jul;2025:3317-3322. doi: 10.23919/ACC63710.2025.11107916. Epub 2025 Aug 21.
PubMed 41306560Das JN, Ji L, Shen Y, Kumara S, Buxton OM, Chow SM. Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting. Sleep Health. 2025 Apr;11(2):166-173. doi: 10.1016/j.sleh.2024.10.003. Epub 2025 Jan 9.
PubMed 39788836Oh H, Hunter MD, Chow SM. Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations. Struct Equ Modeling. 2025;32(3):511-528. doi: 10.1080/10705511.2025.2452884. Epub 2025 Feb 13.
PubMed 40556684Downs DS, Pauley AM, Rivera DE, Savage JS, Moore AM, Shao D, Chow SM, Lagoa C, Pauli JM, Khan O, Kunselman A. Healthy Mom Zone Adaptive Intervention With a Novel Control System and Digital Platform to Manage Gestational Weight Gain in Pregnant Women With Overweight or Obesity: Study Design and Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2025 Mar 13;14:e66637. doi: 10.2196/66637.
PubMed 40080809
Study at a glance
From the registry record, last updated by the sponsor on 16 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Efficacy of a Novel Digital Platform to Scale-Up a Personalized Prenatal Weight Gain Intervention Using Control Systems Methodology
- ClinicalTrials.gov ID
- NCT05807594
- Acronym / sponsor ID
- HMZ Two / 00019075
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 144 participants (estimated)
- Lead sponsor
- Penn State UniversityUniversity, hospital or other
- Collaborators
- Arizona State University
- Study start
- 27 Nov 2023 (actual)
- Primary completion
- 31 Jan 2028 (estimated)
- Study completion
- 31 Jan 2028 (estimated)
- First posted
- 11 Apr 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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:
- Does the new intervention manage GWG?
- Does the new intervention have any influence on sleep and eating behaviors and infant outcomes.
- Does the new platform and other data collected help inform how well the research and information can be used in health care settings?
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:
- Weight themselves and wear an activity monitor each day over the study.
- Complete online surveys at either a weekly or monthly level about their thoughts, attitudes, and behaviors on GWG, physical activity, eating behaviors, sleep, their anxiety, depression, and stress.
- Attend weekly sessions with a registered dietician.
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.
Detailed description
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).
Study design
- Primary purpose
- Prevention
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- 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 the 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. greater than or equal to 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).
| Arm | Type | Receives |
|---|---|---|
| HMZ 2.0 Intervention Group | Experimental | Behavioral: HMZ 2.0 InterventionHMZ 2.0 will be delivered by a registered dietitian in weekly didactic, one-on-one discussions in remote synchronous format (e.g., Zoom). If a subject has internet connectivity issues, she will be able to participate in the remote sessions from an onsite location (e.g., laboratory space on the Penn State University Park campus, clinical space at Hershey campus or Geisinger). All intervention women will receive the baseline intervention delivered as a maximum of 24 weekly modules (depending on gestational age at enrollment) which includes: Education and Counseling (GWG/PA/EI/sedentary behaviors/sleep behaviors/stress management, etc.), Goal-Setting and Action Plans (guided and self-selected PA/EI goals including recipe and workout booklet use), Self-Monitoring (wearing/using mHealth tools to monitor GWG/PA/EI/sleep), and Featured Evidence and Fetal Growth Facts (evidence-based studies and baby growth fun facts shared with women about how mom's health impacts her baby). |
| Attention Control Group | Active comparator | Behavioral: Attention Control InterventionAll women will receive prenatal care offered by recruitment sites with routine provider visits, prenatal counseling, brief discussions on healthy prenatal behaviors, and clinical oversight of health (e.g., monitor glucose levels if diagnosed with gestational diabetes during the study period). Women randomized to the attention control group will complete the same measurement procedures as the intervention group. To match the HMZ intervention group, women will receive weekly, remote-delivered education content (60 min/session) on preparing for labor/delivery and benefits of behavioral pain management strategies (e.g., mindfulness-based relaxation, imagery, music, massage, deep-breathing) to regulate pain after childbirth with non-pharmacological approaches. Content is drawn from evidence-based guidelines and materials designed by Dr. Downs and her team for a Patient-Provider Toolbox to reduce opioid-related pain management use after childbirth. |
Who may qualify
- Ages
- 18 to 45 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (17 listed)
- Pregnant women
- ≥ 8 and < 18 weeks gestation at time of screening. This range of gestational age is chosen to: a) reduce chances of false pregnancy or miscarriage under 8 weeks gestation and b) recruit women in the 1st trimester for greatest impact of the intervention on gestational weight gain. In the feasibility and initial impact study, the investigators had less than 10% (n=3) miscarriages prior to randomization using these criteria
- Singleton gestation
- Not currently heavily smoking (>20 cigarettes/day)
- Any parity (i.e., first-time pregnancy, second pregnancy, etc.)
Key exclusion criteria (41 listed)
- Not pregnant women
- Men (unable to become pregnant)
- Multiple gestation
- < 8 weeks gestation or > 18 weeks gestation at time of pre-intervention assessment
- Currently smoking > 20 cigarettes/day
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| HMZ 2.0 InterventionThe intervention may be adapted such that a woman receives more support with each adaptation (only women who need added support to regulate GWG will receive adaptation). The model-based predictive control system in the HMZ 2.0 digital platform will continually and automatically evaluate GWG, identify when a woman may exceed GWG guidelines, and recommend an adaptation. The registered dietitian will review the data and behavior strategies that are suggested (guided PA workouts, EI cooking demonstrations, customized grocery planning, portion size control, food scales, and meal replacements). Practical, easy-to-adopt examples will be provided (walking in 5-10 min increments throughout the day to increase PA kcal, reduce sitting by 5 min/hour; replace 8 oz of whole milk with skim milk to reduce EI kcal) to facilitate behavior change while adhering to safety standards. Each woman's unique preferences and past successes with strategies are also considered when personalizing the dosage. | Behavioural | HMZ 2.0 Intervention Group |
| Attention Control InterventionConsistent with guidelines for comparator groups, all women will receive prenatal care offered by recruitment sites with routine provider visits, counseling about prenatal behaviors (e.g., no smoking), and clinical oversight of health. Women randomized to the attention control group will complete the same measurement procedures as the intervention group. | Behavioural | Attention Control Group |
Primary outcome
Gestational Weight Gain and Weight Change
Time frame: Measured daily at pre-post intervention and daily throughout the intervention study period (~6 months).
Weight and GWG will be assessed daily at home using the FitBit Aria Air Smart Scale (weights will be uploaded to online program via Bluetooth). GWG will be standardized: target weight gain will be determined for each woman based on BMI status (OW = 15-25 lb., OB = 11-20 lb.). For the criterion measure to determine when to adapt the intervention, weight gain will be calculated to determine if a woman is gaining < her goal (-), at the exact amount of her goal (0), or > her goal (+). Pre-pregnancy weight and GWG from the first prenatal visit to the last pre-delivery weight will also be obtained from clinical records. Weight will also be assessed at the Penn State Clinical Research Center using standard procedures (measured in duplicate to nearest kg using a high precision stand-on adult scale).
Physical Activity (PA) and Sedentary Behavior
Time frame: Measured daily at pre-post intervention (Fitbit Charge 5 and ActiGraph) and daily (Fitbit Charge 5) throughout the intervention study period (~6 months).
Women will wear the wrist-worn Fitbit Charge 5 (Fitbit Inc., San Francisco, CA) 24 hours/day from the pre-intervention assessment until the end of the post-intervention assessment. The Fitbit Charge 5 will be used for continuous PA measure for our energy balance model to predict GWG. It will measure activity kcal, steps, minutes in sedentary/light/moderate PA. The waist-mounted ActiGraph GT3X will be worn at pre- and post-intervention during waking hours to assess PA and sedentary behavior (activity kcal, steps, minutes in sedentary/light/moderate PA). While the ActiGraph is considered a "gold standard" PA measure, our pilot data showed high burden for PW-OW/OB to wear it continuously; thus, it will be used as a pre-post intervention PA measure only.
Energy Intake (EI) Estimation (Back-Calculation of Energy Intake)
Time frame: Measured at pre-post intervention and daily throughout the intervention study period (~6 months).
Self-report EI measures under-estimate EI by 35-59%; EI under-reporting is common in people with obesity and especially in PW-OW/OB. Because our energy balance model relies on accurate EI/PA estimates to predict GWG (and our PA/weight measures provide accurate estimates), EI under-reporting compromises the prediction. EI is estimated from measured W (Aria Wi-Fi scale), PA (Fitbit Charge 5 activity monitor), and resting metabolic rate (RMR; Breezing mobile metabolism device) with k=1, 2,… N relating to day 1- day N. T is the sampling time (T=1 day). The noise in W is small relative to the total W, but the extent of this noise can affect the calculated rate of GWG/day, so a 5-day moving average filter is used to preprocess (smooth) measured W before "true" daily EI is estimated.
18 secondary outcomes
Theory of Planned Behavior Constructs: Healthy Eating/Limit Unhealthy Eating Attitude, Subjective Norm, Perceived Behavioral Control, Intention
Time frame: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Theory of Planned Behavior Constructs: Physical Activity Attitude, Subjective Norm, Perceived Behavioral Control, Intention
Time frame: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Self-Regulation Healthy Eating Constructs: Prospective/ Retrospective Control, Action Planning
Time frame: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Self-Regulation Physical Activity Constructs: Prospective/ Retrospective Control, Action Planning
Time frame: Measured at pre-post intervention, daily during the 10-day free-living period, and weekly throughout the intervention study period (~6 months).
Resting Metabolic Rate
Time frame: Measured at pre- and -post intervention of the 6 month intervention study period.
Diet Quality
Time frame: Measured at pre-post intervention and weekly (3 days/week) throughout the intervention study period (~6 months).
Pittsburgh Sleep Quality Index
Time frame: Measured once at pre-post intervention and monthly throughout the intervention study period (~6 months)
Sleep Behaviors - FitBit Charge 5 Activity Monitor
Time frame: Measured daily at pre-post intervention and daily throughout the intervention study period (~6 months).
PROMIS Sleep Disturbance Short Form
Time frame: Measured daily at pre-post intervention and daily throughout the study period (~6 months)
Activity and Sleep Logs
Time frame: Measured daily at pre-post intervention and daily throughout the study (~6 months)
Three Factor Eating Questionnaire
Time frame: Measured once at pre-post intervention and monthly throughout the intervention study period (~6 months)
Infant Birth Outcomes
Time frame: Measured at delivery of child. Data will be retrieved from medical records.
Maternal-Infant Labor/Delivery and Adverse Pregnancy Outcomes
Time frame: Measured at labor/delivery. Data will be retrieved from medical records.
Implementation Markers: Subject engagement/participation and acceptability
Time frame: Through study completion, approximately 6 months
Implementation Markers: Subject Facilitators and Barriers
Time frame: Measured at post-intervention, approximately at 34-37 weeks gestation
Implementation Markers: Clinician Stakeholder Facilitators and Barriers
Time frame: Measured at study completion and once all participants have completed the study, which could be roughly 2 years after start of study
Implementation Markers: Staff engagement, burden
Time frame: Through study completion, approximately 6 months
Implementation Markers: Dosage exposure
Time frame: Through study completion, approximately 6 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Jan 2026.
- Background: PubMed 41306560Khan O, Campregher F, Rivera DE, Visioli A, Pauley AM, Downs DS. An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control. IEEE Int Conf Commun. 2025 Jul;2025:3317-3322. doi: 10.23919/ACC63710.2025.11107916. Epub 2025 Aug 21.
- Background: PubMed 39788836Das JN, Ji L, Shen Y, Kumara S, Buxton OM, Chow SM. Performance evaluation of a machine learning-based methodology using dynamical features to detect nonwear intervals in actigraphy data in a free-living setting. Sleep Health. 2025 Apr;11(2):166-173. doi: 10.1016/j.sleh.2024.10.003. Epub 2025 Jan 9.
- Background: PubMed 40556684Oh H, Hunter MD, Chow SM. Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations. Struct Equ Modeling. 2025;32(3):511-528. doi: 10.1080/10705511.2025.2452884. Epub 2025 Feb 13.
- Background: PubMed 40080809Downs DS, Pauley AM, Rivera DE, Savage JS, Moore AM, Shao D, Chow SM, Lagoa C, Pauli JM, Khan O, Kunselman A. Healthy Mom Zone Adaptive Intervention With a Novel Control System and Digital Platform to Manage Gestational Weight Gain in Pregnant Women With Overweight or Obesity: Study Design and Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2025 Mar 13;14:e66637. doi: 10.2196/66637.
- Individual participant dataSharing planned: No. To gain access to restricted data, researchers must submit a User Agreement and Distribution Agreement. The User Agreement specifies that the investigator will only use the data for the specific project as described. The User Agreement is not transferable to another recipient or facility and data may only be shared with others by obtaining them directly through the PI. The recipient must also agree to not attempt to establish the individual identities of participants who provided the data. The Distribution Agreement includes a detailed description of the proposed project. The proposal must include personal identification and institutional affiliation, a current resume, source of funding, a detailed summary of the proposed research including a statement of why publicly available data are insufficient, and a complete list of data requested, including data system, files, years, variables, and the like. The PI and a subcommittee of the research team will review all proposals.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing HMZ 2.0 Intervention in people with Gestational Weight Gain and Overweight and Obesity, run by Penn State University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 17 inclusion and 41 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 16 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Abigail Pauley, PhD (814-865-0840, amp34@psu.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Gestational Weight Gain and Weight Change (time frame: Measured daily at pre-post intervention and daily throughout the intervention study period (~6 months).). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05807594, which also lists 4 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Jan 2026.