Trial reportAnnals of internal medicine2015
Single-component versus multicomponent dietary goals for the metabolic syndrome: a randomized trial.
Trial report in Annals of internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00911885 (A Simple Dietary Message to Improve Dietary Quality for Metabolic Syndrome), which is not on this map. Cited by 28 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
A Simple Dietary Message to Improve Dietary Quality for Metabolic Syndrome
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Long Term Weight Loss Diets and Obesity Indices: Results of a Network Meta-Analysis.Frontiers in nutrition · 2022Pooled it
- Use of the Healthy Eating Index in Intervention Studies for Cardiometabolic Risk Conditions: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2021Pooled it
- Increasing dietary fibre intake in healthy adults using personalised dietary advice compared with general advice: a single-blind randomised controlled trial.Public health nutrition · 2021Trial
- The effect of high dietary fiber intake on gestational weight gain, fat accrual, and postpartum weight retention: a randomized clinical trial.BMC pregnancy and childbirth · 2020Trial
- Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial.JMIR mHealth and uHealth · 2019Trial
- Trial
- Effect of AHA dietary counselling on added sugar intake among participants with metabolic syndrome.European journal of nutrition · 2018Trial
- Impact of lifestyle behavior change on glycemic control in youth with type 2 diabetes.Pediatric diabetes · 2018 · on this mapTrial
- Preliminary Examination of an Innovative mHealth-Based Dietary Fiber Intervention to Improve Outcomes in Young Adults With Prediabetes: Protocol for a Single-Arm Feasibility Study.JMIR research protocols · 2026Article
- Mechanisms of Maternal Diet-Induced Obesity Affecting the Offspring Brain and Development of Affective Disorders.Metabolites · 2023Review
- Article
- Alkylresorcinol, a biomarker for whole grain intake, and its association with osteoarthritis: the MOST study.Osteoarthritis and cartilage · 2022Article
- Summary of the best evidence of diet and physical activity management in patients with metabolic syndrome.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2022Review
- Inverse association of improved adherence to dietary guidelines with metabolic syndrome: the Seoul Metabolic Syndrome Management program.Nutrition research and practice · 2020Article
- Self-Assembling Peptides as an Emerging Platform for the Treatment of Metabolic Syndrome.International journal of nanomedicine · 2020Review
- The Nutritious Eating with Soul (NEW Soul) Study: Study design and methods of a two-year randomized trial comparing culturally adapted soul food vegan vs. omnivorous diets among African American adults at risk for heart disease.Contemporary clinical trials · 2020Article
- Boosting healthy food choices by meal colour variety: results from two experiments and a just-in-time Ecological Momentary Intervention.BMC public health · 2019Article
- Body Mass Index Mediates the Association between Dietary Fiber and Symptomatic Knee Osteoarthritis in the Osteoarthritis Initiative and the Framingham Osteoarthritis Study.The Journal of nutrition · 2018Article
- Whole Fruits and Fruit Fiber Emerging Health Effects.Nutrients · 2018Review
- An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data.IEEE transactions on big data · 2018Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
backgroundFew studies have compared diets to determine whether a program focused on 1 dietary change results in collateral effects on other untargeted healthy diet components.
objectiveTo evaluate a diet focused on increased fiber consumption versus the multicomponent American Heart Association (AHA) dietary guidelines.
designRandomized, controlled trial from June 2009 to January 2014. (ClinicalTrials.gov: NCT00911885).
settingWorcester, Massachusetts.
participants240 adults with the metabolic syndrome.
interventionParticipants engaged in individual and group sessions. MEASUREMENTS: Primary outcome was weight change at 12 months.
resultsAt 12 months, mean change in weight was -2.1 kg (95% CI, -2.9 to -1.3 kg) in the high-fiber diet group versus -2.7 kg (CI, -3.5 to -2.0 kg) in the AHA diet group. The mean between-group difference was 0.6 kg (CI, -0.5 to 1.7 kg). During the trial, 12 (9.9%) and 15 (12.6%) participants dropped out of the high-fiber and AHA diet groups, respectively (P = 0.55). Eight participants developed diabetes (hemoglobin A1c level ≥6.5%) during the trial: 7 in the high-fiber diet group and 1 in the AHA diet group (P = 0.066). LIMITATIONS: Generalizability is unknown. Maintenance of weight loss after cessation of group sessions at 12 months was not assessed. Definitive conclusions cannot be made about dietary equivalence because the study was powered for superiority.
conclusionThe more complex AHA diet may result in up to 1.7 kg more weight loss; however, a simplified approach to weight reduction emphasizing only increased fiber intake may be a reasonable alternative for persons with difficulty adhering to more complicated diet regimens. PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute.
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Registered trials
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.