Evidence map›Paper›PMID 39744147›Full record

Articlenpj metabolic health and disease2024

Intermittent fasting as a treatment for obesity in young people: a scoping review.

Jomanah Bakhsh, Sarah-Jeanne Salvy, Alaina P Vidmar

Abstract readScoping Review
In one paragraph

Article in npj metabolic health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Meal Timing Patterns and Associations with Fat Mass in Adolescents.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Circadian nutrition and obesity: timing as a nutritional strategy.Journal of health, population, and nutrition · 2025
    Review
  6. Intermittent Fasting Among Adults: Patterns, Prevalence, and Health Benefits.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jomanah BakhshDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA USA.
Sarah-Jeanne SalvyDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA USA.
Alaina P VidmarChildren's Hospital Los Angeles and Keck School of Medicine of USC, Department of Pediatrics, Center for Endocrinology, Diabetes and Metabolism, Los Angeles, CA USA.

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Southern California Center for Chronic Health Disparities in Latino Children and Families.P50MD017344 · NIMHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI BOUTELLE, KERRI N · 2021 to 2025
$27.8M
Time-Restricted Eating and Cancer: Clinical Outcomes, Mechanisms, and ModeratorsR01CA258222 · NCI · CEDARS-SINAI MEDICAL CENTER · PI FIGUEIREDO, JANE C., PETERSON, COURTNEY MARIE · 2021 to 2025
$4.1M
Evaluating environmental control (AVOID) and inhibitory control (RESIST) strategies to improve weight management outcomesR01DK130851 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI Sarah-Jeanne Salvy · 2022 to 2026
$3.5M
Impact of Meal Timing on Glycemic Profiles in Adolescents with Type 2 DiabetesK23DK134801 · NIDDK · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Alaina P Vidmar · 2023 to 2026
$674k
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NCI NIH HHS R01 CA258222NIDDK NIH HHS K23 DK134801NIDDK NIH HHS R01 DK130851NIMHD NIH HHS P50 MD017344
6 · The paper itself

Abstract

Intermittent fasting focuses on the timing of eating rather than diet quality or energy intake, with evidence supporting its effects on weight loss and improvements in cardiometabolic outcomes in adults with obesity. However, there is limited evidence for its feasibility and efficacy in young people. To address this, a scoping review was conducted to examine intermittent fasting regimens in individuals aged 10 to 25 for the treatment of obesity focusing on methodology, intervention parameters, outcomes, adherence, feasibility, and efficacy. Due to the paucity of evidence in this age group, to adequately assess feasibility and adherence, all published studies of intermittent fasting in this age category, regardless of weight status and treatment intention, were included in the review. The review included 34 studies (28 interventional studies and 6 observational studies) with 893 participants aged 12 to 25. Interventions varied with 9 studies in cohorts with obesity utilizing intermittent fasting as an obesity treatment. Thirteen studies utilized 8-h time-restricted eating. Primary outcomes included cardiometabolic risk factors (7/28), anthropometric measurements (7/28), body composition (5/28), muscular performance (4/28), feasibility (1/28), and others (4/28). All 9 studies conducted in young people with obesity reported some degree of weight loss, although the comparator groups varied significantly. This review underscores the various utilizations of intermittent fasting in this age group and highlights its potential in treating obesity. However, the findings emphasize the need for rigorous studies with standardized frameworks for feasibility to ensure comparability and determine intermittent fasting's practicality in this age group depending on the treatment outcome of interest.

Indexed as

DiseasesEndocrinology

Identifiers

PMID39744147
PMCPMC11685102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.