Overweight or Obesity Clinical Trial
Official title:
NDPP-NextGen: A Clinical Trial to Reduce Intergenerational Obesity and Diabetes Risks
The goal of this clinical trial is to test an enhanced version of the National Diabetes Prevention Program (NDPP-NextGen) that is tailored to young women in childbearing years. The investigators will recruit 360 women aged 18-39 years with overweight/obesity who are not currently pregnant, but likely to conceive within 24 months. Women will be randomized to NDPP-NextGen or a usual care control group. The NDPP-NextGen group will participate in the adapted NDPP online group class across 12 months, and the control group will get a packet of information about how to be healthy before, during and after pregnancy. The main goals of the study are: 1. to assess effects of NDPP-NextGen on pre-pregnancy blood sugar and early pregnancy BMI 2. to assess effects of NDPP-NextGen on weight gain and behavioral outcomes during pregnancy 3. to explore effects of NDPP-NextGen on infant's percentage of fat tissue at birth All participants will complete up to 4 research visits: baseline, conception, mid-pregnancy, and delivery. These visits will include: 1. Questionnaires about health, diet, activity, smoking, self-confidence, and depression 2. Body size measurements 3. Fasted blood draws Participants will also be asked to weigh themselves weekly using home scales that are connected to the research database. At the delivery visit, investigators will measure the baby's body size and collect a cord blood sample.
Status | Recruiting |
Enrollment | 403 |
Est. completion date | May 31, 2028 |
Est. primary completion date | May 31, 2027 |
Accepts healthy volunteers | No |
Gender | Female |
Age group | 18 Years to 39 Years |
Eligibility | Inclusion Criteria: - Established patient at Denver Health or Atrium Health Wake Forest Baptist - Biologically female (inclusive of all gender identities) - Aged 18-39 years - English- or Spanish-speaking - BMI =25 kg/m2 (=23 kg/m2 if Asian race) - Activities that lead to pregnancy in past 3 months - Interested in pregnancy within 24 months, including: 1. High interest (actively trying to conceive) 2. General interest (not actively trying but wanting to become pregnant in the foreseeable future) 3. Neutral interest (not planning pregnancy or using contraception for religious reasons) Exclusion Criteria: - Currently pregnant - Non-gestational diabetes (type 1, type 2) - Long-acting contraceptives (intrauterine device, implant, injection) with plans to continue for >1 year (barrier & short-acting hormonal contraception permitted given ease of discontinuing to facilitate pregnancy) - Medical procedures (e.g., tubal ligation, hysterectomy) or conditions that impede pregnancy (e.g., polycystic ovarian syndrome) - Documented infertility or unsuccessfully trying to conceive for =12 months - Prior participation in the NDPP |
Country | Name | City | State |
---|---|---|---|
United States | Wake Forest University Health Sciences | Winston-Salem | North Carolina |
Lead Sponsor | Collaborator |
---|---|
Wake Forest University Health Sciences | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Peri-conceptional BMI | BMI at conception will be collected with cellular-enabled scales (BodyTrace®) that facilitate weekly at-home measurement to obtain weight closer to conception. Scales automatically transfer weights to a HIPAA-compliant database that is accessible only by the research team. Research staff will monitor for =1 transmitted weight each week, and provide prompts and assistance as needed. Investigators will average the two weights from before/after estimated date of conception to calculate approximate peri-conceptional BMI. | Scale data will be pulled at 6-8 weeks gestation | |
Other | Rate and timing of gestational weight gain (GWG) | Primary method of collection will be through the use of home cellular scale weights. We will also abstract all weights from prenatal medical records as a secondary method to assess GWG. GWG will be analyzed as the difference from conception to delivery and gain within each trimester, adjusting for BMI at conception. We will also analyze GWG trajectories using linear mixed models with repeated measures drawn from the home scales and/or prenatal clinical weights. We will then classify women as having inadequate, appropriate, or excessive GWG based on BMI category, and analyze using logistic regression, again adjusting for BMI at conception. | Scale data will be pulled weekly from time of conception up to delivery | |
Other | A1C in early pregnancy | Fasted blood draw | 6-8 weeks gestation | |
Other | Glycemic status in early pregnancy | Fasted blood draw to classify as normoglycemia, pre-diabetes, or type 2 diabetes at conception per American Diabetes Association definitions | 6-8 weeks gestation | |
Other | Rate of gestational diabetes (GDM) in mid-pregnancy | Abstracted from medical records | 28-32 weeks gestation | |
Other | Diet quality | Diet will be assessed with 24-hour dietary recalls using the Automated Self-Administered system (ASA24). This system uses the USDA multiple-pass method to query all foods and supplements consumed in the prior 24 hours and produces daily and individual food estimates for macronutrients, micronutrients, and MyPyramid Equivalents (such as servings of vegetables, fruits, whole grains, solid fats, and added sugars). | Baseline | |
Other | Diet quality | Diet will be assessed with 24-hour dietary recalls using the Automated Self-Administered system (ASA24). This system uses the USDA multiple-pass method to query all foods and supplements consumed in the prior 24 hours and produces daily and individual food estimates for macronutrients, micronutrients, and MyPyramid Equivalents (such as servings of vegetables, fruits, whole grains, solid fats, and added sugars). | 6-8 weeks gestation | |
Other | Diet quality | Diet will be assessed with 24-hour dietary recalls using the Automated Self-Administered system (ASA24). This system uses the USDA multiple-pass method to query all foods and supplements consumed in the prior 24 hours and produces daily and individual food estimates for macronutrients, micronutrients, and MyPyramid Equivalents (such as servings of vegetables, fruits, whole grains, solid fats, and added sugars). | 28-32 weeks gestation | |
Other | Physical Activity | Assessed using the Pregnancy Physical Activity Questionnaire (PPAQ), while adjusting metabolic task equivalents for pregnancy. Investigators will calculate average activity intensity (sedentary to vigorous) and type (household, occupational, exercise, transportation) over the past 3 months at each collection point. Physical activity outcomes include daily minutes of sedentary, light, moderate, vigorous, household, occupational, exercise, transportation activity. | Baseline | |
Other | Physical Activity | Assessed using the Pregnancy Physical Activity Questionnaire (PPAQ), while adjusting metabolic task equivalents for pregnancy. Investigators will calculate average activity intensity (sedentary to vigorous) and type (household, occupational, exercise, transportation) over the past 3 months at each collection point. Physical activity outcomes include daily minutes of sedentary, light, moderate, vigorous, household, occupational, exercise, transportation activity. | 6-8 weeks gestation | |
Other | Physical Activity | Assessed using the Pregnancy Physical Activity Questionnaire (PPAQ), while adjusting metabolic task equivalents for pregnancy. Investigators will calculate average activity intensity (sedentary to vigorous) and type (household, occupational, exercise, transportation) over the past 3 months at each collection point. Physical activity outcomes include daily minutes of sedentary, light, moderate, vigorous, household, occupational, exercise, transportation activity. | 28-32 weeks gestation | |
Other | Smoking frequency | Participants will be asked about lifetime and recent (past 6 months) usage of cigarette and marijuana. Smoking outcomes include any smoking in pregnancy (binary) and number of cigarettes (total, trimester-specific). | Baseline | |
Other | Smoking frequency | Participants will be asked about lifetime and recent (past 6 months) usage of cigarette and marijuana. Smoking outcomes include any smoking in pregnancy (binary) and number of cigarettes (total, trimester-specific). | 6-8 weeks gestation | |
Other | Smoking frequency | Participants will be asked about lifetime and recent (past 6 months) usage of cigarette and marijuana. Smoking outcomes include any smoking in pregnancy (binary) and number of cigarettes (total, trimester-specific). | 28-32 weeks gestation | |
Other | Weight management self-efficacy | Assessed with the Weight Efficacy Lifestyle Questionnaire-Short Form (WEL-SF) on current confidence with weight management around negative emotions, availability, social pressure, physical discomfort, and positive activities. Weight management self-efficacy is a single score derived from the 8-item short form (range 0-72). | Baseline | |
Other | Weight management self-efficacy | Assessed with the Weight Efficacy Lifestyle Questionnaire-Short Form (WEL-SF) on current confidence with weight management around negative emotions, availability, social pressure, physical discomfort, and positive activities. Weight management self-efficacy is a single score derived from the 8-item short form (range 0-72). | 6-8 weeks gestation | |
Other | Weight management self-efficacy | Assessed with the Weight Efficacy Lifestyle Questionnaire-Short Form (WEL-SF) on current confidence with weight management around negative emotions, availability, social pressure, physical discomfort, and positive activities. Weight management self-efficacy is a single score derived from the 8-item short form (range 0-72). | 28-32 weeks gestation | |
Other | Rate of miscarriages | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of stillbirths | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of fetal deaths | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of pre-term births | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of pregnancy-induced hypertension | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of pre-eclampsia | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of eclampsia | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Rate of cesarean delivery | Adverse maternal outcomes will be abstracted from medical records, and analyzed using logistic regression with consideration of a history of these conditions. | Through study completion, an average of 2 years | |
Other | Neonatal adiposity | Percent of total mass that is fat mass, as measured by air displacement plethysmography using the PEA POD device | At birth | |
Other | Maternal adiposity | Percent of total mass that is fat mass, as measured by air displacement plethysmography using the BOD POD device | Baseline | |
Other | Maternal adiposity | Percent of total mass that is fat mass, as measured by air displacement plethysmography using the BOD POD device | 6-8 weeks gestation | |
Other | Infant birthweight | Medical records | At birth | |
Other | Rate of macrosomia | Infant birthweight >4000g. Abstracted from medical records | At birth | |
Other | Rate of infants classified as large for gestational age (LGA) | Infant birthweight >90th percentile. Abstracted from medical records | At birth | |
Other | Rate of infants classified as small for gestational age | Infant birthweight <10th percentile. Abstracted from medical records | At birth | |
Other | Rate of infants with low birthweight | Infant birthweight <2500g. Abstracted from medical records | At birth | |
Other | Instances of fetal growth restriction | Abstracted from medical records | At birth | |
Other | Rate of infant birth trauma | Abstracted from medical records | At birth | |
Other | Rate of infant shoulder dystocia | Abstracted from medical records | At birth | |
Other | Rate of infant intensive care admission | Abstracted from medical records | At birth | |
Other | Rate of infants with a major congenital anomaly | Abstracted from medical records | At birth | |
Other | Rate of neonatal hypoglycemia requiring treatment | Abstracted from medical records | At birth | |
Primary | BMI in early pregnancy | Height and weight will be measured and combined to report BMI at the post-conception research visit occurring at 6-8 weeks gestation. | 6-8 weeks gestation | |
Secondary | Glycemia in early pregnancy | Fasting glucose | 6-8 weeks gestation |
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT06013163 -
A Phase 1 Study to Evaluate EMP22 PD and EMP16 PK Versus Xenical® in Healthy Volunteers
|
Phase 1 | |
Active, not recruiting |
NCT03843424 -
Treatment Efforts Addressing Child Weight Management by Unifying Patients, Parents & Providers
|
N/A | |
Not yet recruiting |
NCT06360536 -
Remotely Delivered Resistance Training for Cardiometabolic Health Among Black Women
|
N/A | |
Not yet recruiting |
NCT05997576 -
A Study of TG103 Injection in Non-diabetic Overweight or Obesity
|
Phase 3 | |
Recruiting |
NCT04763291 -
Cardiovascular and InflammAging Study
|
N/A | |
Active, not recruiting |
NCT04399460 -
The Effects of Long-term Consumption of Full-fat Dairy Products on Satiety, Body Weight and Glycemic Control
|
N/A | |
Completed |
NCT04451824 -
Examination of Circumferential Reduction
|
N/A | |
Completed |
NCT04110717 -
Electrical Vestibular Nerve Stimulation (VeNS) Compared to Sham Control as a Means of Reducing Excess Body Weight
|
N/A | |
Completed |
NCT05561855 -
T2DM Intensity Lifestyle Intervention
|
N/A | |
Active, not recruiting |
NCT04100200 -
Berries, Inflammation, and Gut Microbiome
|
N/A | |
Recruiting |
NCT06125964 -
eMOTION Formative Study
|
N/A | |
Recruiting |
NCT06087822 -
Multicenter Trial Investigating Performance and Safety of the Medical Device SiPore21®
|
N/A | |
Active, not recruiting |
NCT04328233 -
Impact of Time-Restricted Eating on Metabolic Homeostasis, Inflammation and Oxidative Stress in Metabolic Syndrome
|
N/A | |
Completed |
NCT06091761 -
Thread Embedding Acupuncture Combined With Auricular Acupuncture for Overweight and Obesity
|
N/A | |
Completed |
NCT04894344 -
Education to Decrease in Sodium Intake Evaluated With 24 Hour Urinary Sodium Excretion (RCT)
|
N/A | |
Completed |
NCT05713461 -
Physical Exercise in Obesity for Health and Quality of Life.
|
N/A | |
Not yet recruiting |
NCT06054698 -
Efficacy and Safety of HRS9531 Injections in Overweight or Obese Subjects
|
Phase 2 | |
Not yet recruiting |
NCT02823912 -
Capsaicin Effect on Cytokines Profile in Dyslipidemia
|
Phase 2/Phase 3 | |
Completed |
NCT05104151 -
Efficacy of a Nutritive Bar, in Reduction of Weight, Body Fat and Control of Appetite
|
N/A | |
Completed |
NCT04786925 -
Precision Nutrition Strategies for Improving the Quality of Life of Pre-senior and Senior Populations
|
N/A |