Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| 1R01DK130900-01A1 | U.S. NIH Grant/Contract | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
Not provided
Not provided
Not provided
Not provided
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:
All participants will complete up to 4 research visits: baseline, conception, mid-pregnancy, and delivery. These visits will include:
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.
Intrauterine exposure to maternal overweight/obesity and diabetes transmits risks to offspring, triggering a disease cycle across generations. Over half of US women have overweight or obesity at conception and ~10% of pregnancies are affected by diabetes, exposing nearly 2 million infants each year. Prenatal lifestyle interventions are well-studied, yet begin too late to impact the critical period of conception and early pregnancy. Starting interventions before conception may be key to halting the disease cycle. However, prior research is limited, often lacks offspring outcomes (especially sensitive measures), includes mostly white and affluent participants, and has been challenged to identify women likely to conceive soon. Further research is needed on scalable strategies to improve maternal-child health during preconception and early pregnancy, especially for racial and ethnic minority or low-income women with disparately high prevalence of obesity and diabetes. The National Diabetes Prevention Program (NDPP) is a widely-disseminated lifestyle intervention to reduce weight and glycemia that has untapped potential to improve maternal-child health. From an implementation science perspective, the NDPP has greater potential impact than new interventions that are unlikely to be scaled up, even if efficacious. Denver Health has delivered the NDPP to >1600 adults since 2013, including >350 young women. Preliminary data shows that the NDPP may reduce peri-conceptional risks in diverse, low-income women. While limited engagement by younger women in the NDPP is a concern, strategies to increase engagement (motivational "pre-sessions", remote delivery, and classes specially for young women) are promising. For example, young women attended the 12-month NDPP for 64 days longer after receiving a pre-session, with 2.0 kg/m2 lower preconception BMI and 0.4% lower A1c in early pregnancy, than controls. To plan a preconception trial, the investigators developed a 2-step screening protocol to 1) use electronic health record data (e.g., contraceptive use) to identify women who are more likely to conceive by 24 months (36% vs. 13% for all young women), and 2) outreach to confirm current family planning to expect ≥60% conception, based on preliminary data showing that 73% conceived by 24 months if they endorsed intention to conceive or being sexual active without highly effective contraception. The investigators propose a randomized controlled trial of an enhanced NDPP (NDPP-NextGen) initiated before pregnancy to evaluate effects on maternal-child health. They will recruit 360 women aged 18-39 years with overweight/obesity who are likely to conceive within 24 months. Women will be randomized to NDPP- NextGen or a usual care control group. The specific aims are 1) to assess effects of NDPP-NextGen on peri- conceptional BMI and prenatal glycemia; 2) to assess effects of NDPP-NextGen on gestational weight gain and behavioral outcomes in pregnancy; and 3) to explore effects of NDPP-NextGen on neonatal adiposity and explanatory mechanisms.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy Lifestyle | Experimental | Women in the Healthy Lifestyle group will be invited to attend the online NDPP-NextGen class which will cover how to eat healthy, be active, and lose weight before getting pregnant. The classes will be led by a trained Lifestyle Coach. Each class lasts about 1 hour. Classes initially meet about once a week (for the first 6 months), then twice a month (for the next 3 months), and then once a month (for the last 3 months). Classes will meet virtually through video-conference. Lifestyle coaches will also call participants in between classes to discuss how participants are doing, answer questions, and provide reminders for upcoming classes. Prior to the first class, women will also participate in a "pre-session" designed to increase NDPP engagement via discussion of diabetes risks and treatment options (i.e., clarify relevance) and motivational interviewing to resolve barriers. |
|
| Healthy Women | No Intervention | Women in the Healthy Women group get a packet of information standardly given in OB clinics about how to be healthy before, during and after pregnancy. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| NDPP-NextGen | Behavioral | NDPP-NextGen will incorporate content on preconception/prenatal health into standard NDPP. Participants will be encouraged to make sustainable improvements in diet and activity, but without pre-set goals to better accommodate diverse, low-income populations. Upon pregnancy, recommendations will adjust to support appropriate GWG, breastfeeding, and postpartum weight loss. We will provide education on diet and activity during pregnancy/postpartum, including sufficient energy intake and exercise safety to support the growing fetus. NDPP-NextGen will include 3 strategies to better engage young women. (1) "Pre-sessions" to increase knowledge of diabetes risks, self-efficacy, and readiness to change using motivational interviewing techniques. (2) Delivering classes remotely (via phone- and video-conference) to facilitate participation regardless of inclement weather, dependent care, illness, transportation, etc. (3) Offering classes specially for young women to increase personal relevance. |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Glycemia in early pregnancy | Fasting glucose | 6-8 weeks gestation |
| Measure | Description | Time Frame |
|---|---|---|
| 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. |
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:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Katherine A Sauder, PhD | Contact | 336-716-1280 | Katherine.Sauder@advocatehealth.org |
| Name | Affiliation | Role |
|---|---|---|
| Katherine Sauder, PhD | Wake Forest University Health Sciences | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Wake Forest University Health Sciences | Recruiting | Winston-Salem | North Carolina | 27157 | United States |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D050177 | Overweight |
| D009765 | Obesity |
| D003920 | Diabetes Mellitus |
| D016640 | Diabetes, Gestational |
| D001835 | Body Weight |
| D000078064 | Gestational Weight Gain |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D012816 | Signs and Symptoms |
Not provided
Not provided
Participants will be randomized 1:1 to a 12-month lifestyle intervention promoting healthy diet and activity to reduce body weight (NDPP-NextGen), or usual care
Not provided
Not provided
Professional research assistants who will be collecting data and conducting the research visits will not be told if participants are in the treatment or control group, although this may be disclosed by the participant.
|
| Scale data will be pulled at 6-8 weeks gestation |
| 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 |
| A1C in early pregnancy | Fasted blood draw | 6-8 weeks gestation |
| 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 |
| Rate of gestational diabetes (GDM) in mid-pregnancy | Abstracted from medical records | 28-32 weeks gestation |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Neonatal adiposity | Percent of total mass that is fat mass, as measured by air displacement plethysmography using the PEA POD device | At birth |
| Maternal adiposity | Percent of total mass that is fat mass, as measured by air displacement plethysmography using the BOD POD device | Baseline |
| 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 |
| Infant birthweight | Medical records | At birth |
| Rate of macrosomia | Infant birthweight >4000g. Abstracted from medical records | At birth |
| Rate of infants classified as large for gestational age (LGA) | Infant birthweight >90th percentile. Abstracted from medical records | At birth |
| Rate of infants classified as small for gestational age | Infant birthweight <10th percentile. Abstracted from medical records | At birth |
| Rate of infants with low birthweight | Infant birthweight <2500g. Abstracted from medical records | At birth |
| Instances of fetal growth restriction | Abstracted from medical records | At birth |
| Rate of infant birth trauma | Abstracted from medical records | At birth |
| Rate of infant shoulder dystocia | Abstracted from medical records | At birth |
| Rate of infant intensive care admission | Abstracted from medical records | At birth |
| Rate of infants with a major congenital anomaly | Abstracted from medical records | At birth |
| Rate of neonatal hypoglycemia requiring treatment | Abstracted from medical records | At birth |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D011248 | Pregnancy Complications |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D015430 | Weight Gain |
| D001836 | Body Weight Changes |