An interventional study of Low sugar and carbohydrate diet and Time Limited Eating in Obesity, Childhood, sponsored by Children's Hospital Los Angeles. Completed at 1 site in United States. Open to participants aged 14 Years to 18 Years. Per ClinicalTrials.gov, last updated 2024-03-04.
Sponsored by Children's Hospital Los Angeles · Not applicable, Interventional, and Treatment
The investigators propose a randomized controlled trial in 90 children (age 13-21y) with obesity recruited from clinical programs at the Children's Hospital Los Angeles (CHLA). Patients will be randomized to one of three treatment groups for a 12-week intervention: Group 1) Low sugar and carbohydrate diet (LSC, \<90 gm carbohydrate (CHO)/day, \<25 gm added sugar/day) + blinded CGM (used to monitor adherence and glycemic outcomes without real time feedback). Group 2) LSC+TLE (16-hour fast/8-hour feed for 3 days per week) + blinded CGM, Group 3) LSC+TLE+ real time feedback via CGM (to evaluate effect of providing CGM data on intervention efficacy).
The majority of adolescents with obesity demonstrate declining beta cell (β-cell) function and progressive insulin resistance over their lifetime.1 In our population of lower income minority teens, 1 in 3 have obesity or severe obesity and of those 30-50% go on to develop PD or T2D during adolescence or as young adults.1 Although diet and increased adiposity play a significant role in the pathogenesis of these conditions, the standard treatment model of intensive lifestyle modifications often result in modest decrease in BMI z-score of -0.1-0.2 SD.2, 3 There is a paucity of trials that have examined the effect of time limited eating (TLE) interventions in the treatment of youth with obesity.4 Novel dietary approaches like time limited eating have been shown to be effective for weight loss and improved glycemic control in adults with obesity but have not been examined in children.5, 6 A TLE approach involves interspersing normal daily caloric intake with 16-hour periods of calorie restriction/fasting several times a week.7-9 TLE may actually be more feasible, non-stigmatizing, flexible and effective for adolescents than alternatives like severe caloric restriction because it removes the need for intensive counting of daily caloric intake or macronutrient content and focuses on a straightforward task of consuming food during a pre-specified time period.4, 10, 11 One major limitation to implementing any dietary intervention in pediatric populations is concern for poor adherence and difficulty in reliably assessing compliance. We aim to overcome these issues with the use of continuous glucose monitoring (CGM) to monitor and promote adherence to the intervention and thus improve overall efficacy. In addition, the use of CGM will provide important outcome data related to overall glycemic response. Finally, we will evaluate whether providing individual feedback based on CGM data to subjects as real time biofeedback as part of the intervention, enhances efficacy. We propose a randomized controlled trial in 60 children (age 14-18) with obesity (BMI% > 95th percentile) recruited from clinical programs at the Children's Hospital Los Angeles (CHLA). Patients will be randomized to one of three treatment groups for a 12-week intervention: Group 1) Low sugar and carbohydrate diet (LSC, \<90 gm carbohydrate (CHO)/day, \<25 gm added sugar/day) + blinded CGM (used to monitor adherence and glycemic outcomes without real time feedback). Group 2) LSC+TLE (16-hour fast/8-hour feed for 5 days per week) + blinded CGM, Group 3) LSC+TLE+ real time feedback via CGM (to evaluate effect of providing CGM data on intervention efficacy).
We have 3 Specific Aims:
Aim 1. Test the efficacy of adding a TLE approach to a LSC intervention on body fat and weight loss (Group 2 vs. Group 1). Hypothesis 1: LSC+TLE will result in greater decrease in body fat and zBMI than LSC alone.
Aim 2. Test the efficacy of LSC+TLE compared to LSC alone on reduction on glycemic response (CGM) and psychosocial parameters (Group 2 vs. Group 1). Hypothesis 2: TLE+LSC will result in a greater improvement in glucose control (FBG) and psychosocial parameters.
Aim 3. Evaluate if CGM use is a feasible tool to determine dietary compliance to TLE type interventions and determine the impact of unblinded CGM on dietary intervention adherence and efficacy (Group 3 vs. Group 2). Hypothesis 3a: CGM will be a feasible tool to determine dietary compliance. Hypothesis 3b: Unblinded CGM data will result in 1) improved adherence to the dietary intervention as assessed by percent time in range when compared to those wearing a blinded CGM and 2) improve intervention effects.
Overall Impact: This research will generate new knowledge that can readily be integrated into clinical weight management programs to optimize their impact and accelerate healthy changes for youth with obesity. This dietary intervention could lead to global improvement and result in slowed disease progression, decreased complications and reduced prevalence of secondary comorbidities that arise from a lifetime of obesity.
Virtual Adaptation: To respond to the COVID-19 research restriction the study protocol was adapted for a 100% virtual model in which all study procedures, consent and outcome measures were collected virtually. For this cohort the aim was to recruit 10-12 completer per study arm with a maximum anticipated recruitment of 20-30 adolescents per group. For the virtual adaptation there is no DEXA scan or blood testing that is collected due to the in-person restriction.
1,117 studies on the registry are indexed under Pediatric Obesity; 189 are open to participants now.
This study's enrollment of 50 is below the median of 103 across 862 interventional studies indexed under Pediatric Obesity.
Browse Pediatric Obesity studies →Children's Hospital Los Angeles is the lead sponsor of 150 studies on the registry; 46 are open to participants now.
Of its 9 completed or terminated interventional studies of FDA-regulated products, 6 (67%) have results posted.
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Exclusion Criteria:
Insulin requirement
Group 1) Low sugar and carbohydrate diet (LSC, \<90 gm carbohydrate (CHO)/day, \<25 gm added sugar/day) + blinded CGM (used to monitor adherence and glycemic outcomes without real time feedback)
Behavioral: Low sugar and carbohydrate diet · Device: Continuous Glucose Monitor
Group 2) LSC+Time limited eating (TLE) (16-hour fast/8-hour feed for 3 days per week) + blinded CGM
Behavioral: Low sugar and carbohydrate diet · Behavioral: Time Limited Eating · Device: Continuous Glucose Monitor
Group 3) LSC+TLE+ real time feedback via CGM (to evaluate effect of providing CGM data on intervention efficacy).
Behavioral: Low sugar and carbohydrate diet · Behavioral: Time Limited Eating · Device: Continuous Glucose Monitor
Low sugar and carbohydrate diet (LSC, \<90 gm carbohydrate (CHO)/day, \<25 gm added sugar/day)
Also known as: LSC
16-hour fast/8-hour feed for 3 days per week
Also known as: TLE
CGM (used to monitor adherence and glycemic outcomes without real time feedback)
Also known as: CGM
Percent Change in BMI in Excess of the 95th Percentile (%BMIp95)
Percent Change in BMI in excess of the 95th percentile (%BMIp95) as calculated by the CDC extended SAS equations at week 12 minus %BMIp95 at baseline. For example If the BMI is greater than the 95th percentile: BMI percentile equals 90 plus 10 times the cumulative distribution function (CDF) of the standard normal distribution. Sigma is the value from the data table corresponding to the sex of the child and the age in months. and are the cumulative distribution function (CDF) of the standard normal distribution and its inverse function. Standard normal distribution tables can be found in statistics textbooks, online sources, and statistical computer programs. Example: A boy aged 4 years and 2 months (50.5 months) with BMI = 22.6. For this boy, P95 (95th percentile) is 17.8219 so his BMI is above the 95th percentile and sigma = 2.3983.
Time frame: %BMIp95 at Week 12 minus %BMIp95 at baseline
Average Glucose
Affect of TRE on change in average glucose
Time frame: Change in average glucose at week 12 minus average glucose at baseline
| Milestone | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM |
|---|---|---|---|
| Started | 15 | 19 | 16 |
| Completed | 15 | 19 | 16 |
| Not completed | 0 | 0 | 0 |
Percent Change in BMI in excess of the 95th percentile (%BMIp95) as calculated by the CDC extended SAS equations at week 12 minus %BMIp95 at baseline. For example If the BMI is greater than the 95th percentile: BMI percentile equals 90 plus 10 times the cumulative distribution function (CDF) of the standard normal distribution. Sigma is the value from the data table corresponding to the sex of the child and the age in months. and are the cumulative distribution function (CDF) of the standard normal distribution and its inverse function. Standard normal distribution tables can be found in statistics textbooks, online sources, and statistical computer programs. Example: A boy aged 4 years and 2 months (50.5 months) with BMI = 22.6. For this boy, P95 (95th percentile) is 17.8219 so his BMI is above the 95th percentile and sigma = 2.3983.
| percent | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM |
|---|---|---|---|
| Percent Change in BMI in Excess of the 95th Percentile (%BMIp95) | -3.27 ± 3.34 | -3.76 ± 5.76 | -4.85 ± 5.08 |
Affect of TRE on change in average glucose
| mg/dL | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM |
|---|---|---|---|
| Average Glucose | 0.5 (-20.2 to 6.0) | -7.1 (-18.2 to 6.0) | -4.2 (-14.7 to 6.1) |
Collected over 12 weeks. Non-serious events are listed at a 0% frequency threshold.
| Group | Deaths | Serious | Other |
|---|---|---|---|
| LSC + Blinded CGM | 0/15 (0%) | 0/15 (0%) | 0/15 (0%) |
| LSC+TLE + Blinded CGM | 0/19 (0%) | 0/19 (0%) | 0/19 (0%) |
| LSC+TLE+ Real Time Feedback Via CGM | 0/16 (0%) | 0/16 (0%) | 0/16 (0%) |
| Age, Categorical(Participants) | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM | Total |
|---|---|---|---|---|
| <=18 years | 15 | 19 | 16 | 50 |
| Between 18 and 65 years | 0 | 0 | 0 | 0 |
| >=65 years | 0 | 0 | 0 | 0 |
| Age, Continuous(year) | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM | Total |
|---|---|---|---|---|
| Mean | 16.38 ± 1.25 | 16.16 ± 1.16 | 16.80 ± 1.09 | 16.80 ± 1.09 |
| Sex: Female, Male(Participants) | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM | Total |
|---|---|---|---|---|
| Female | 12 | 13 | 11 | 36 |
| Male | 3 | 6 | 5 | 14 |
| Ethnicity (NIH/OMB)(Participants) | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM | Total |
|---|---|---|---|---|
| Hispanic or Latino | 7 | 15 | 13 | 35 |
| Not Hispanic or Latino | 8 | 4 | 3 | 15 |
| Unknown or Not Reported | 0 | 0 | 0 | 0 |
| Region of Enrollment(Participants) | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM | Total |
|---|---|---|---|---|
| United States | 15 | 19 | 16 | 50 |
| BMI Z-score(Z-score) | LSC + Blinded CGM | LSC+TLE + Blinded CGM | LSC+TLE+ Real Time Feedback Via CGM | Total |
|---|---|---|---|---|
| Mean | 2.30 ± 0.5 | 2.28 ± 0.4 | 2.30 ± 0.5 | 2.30 ± 0.5 |
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Children's Hospital Los Angeles