Evidence map›Paper›PMID 24423095›Full record

SynthesisThe international journal of behavioral nutrition and physical activity2014

Efficacy of interventions that include diet, aerobic and resistance training components for type 2 diabetes prevention: a systematic review with meta-analysis.

Elroy J Aguiar, Philip J Morgan, Clare E Collins, Ronald C Plotnikoff, Robin Callister

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The international journal of behavioral nutrition and physical activity, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04949958 (Effects of Exercise Based Manual on Biochemical, Cardiorespiratory and Physical Parameters in Sedentary Prediabetic Population), which is not on this map. Cited by 57 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 11 pooled it
12.0field-weighted citation impact, top 1% of its field
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.

NCT04949958 nacompletednot on this mapstarted 2022, after this paper: background citation

Effects of Exercise Based Manual on Biochemical, Cardiorespiratory and Physical Parameters in Sedentary Prediabetic Population

TypeinterventionalSponsorRiphah International UniversityRan2022 to 2023Enrolled108ConditionsPreDiabetesArmsExercise Based Manual (Supervised), Exercise Based Manual (Home Based), Control
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 11 syntheses or guidelines pooled it, 132 citations in OpenAlex.

  1. Pooled it
  2. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Elroy J Aguiar
Philip J Morgan
Clare E Collins
Ronald C Plotnikoff
Robin CallisterPriority Research Centre for Physical Activity and Nutrition, University of Newcastle, Callaghan Campus, University Dr, Callaghan, NSW 2308, Australia. Robin.Callister@newcastle.edu.au.
University of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current recommendations for the prevention of type 2 diabetes advise modification of diet and exercise behaviors including both aerobic and resistance training. However, the efficacy of multi-component interventions involving a combination of these three components has not been established. The aims of this review were to systematically review and meta-analyze the evidence on multi-component (diet + aerobic exercise + resistance training) lifestyle interventions for type 2 diabetes prevention. Eight electronic databases (Medline, Embase, SportDiscus, Web of Science, CINAHL, Informit health collection, Cochrane library and Scopus) were searched up to June 2013. Eligible studies 1) recruited prediabetic adults or individuals at risk of type 2 diabetes; 2) conducted diet and exercise [including both physical activity/aerobic and resistance training] programs; and 3) reported weight and plasma glucose outcomes. In total, 23 articles from eight studies were eligible including five randomized controlled trials, one quasi-experimental, one two-group comparison and one single-group pre-post study. Four studies had a low risk of bias (score ≥ 6/10). Median intervention length was 12 months (range 4-48 months) with a follow-up of 18 months (range 6.5-48 months). The diet and exercise interventions varied slightly in terms of their specific prescriptions. Meta-analysis favored interventions over controls for weight loss (-3.79 kg [-6.13, -1.46; 95% CI], Z = 3.19, P = 0.001) and fasting plasma glucose (-0.13 mmol.L⁻¹ [-0.24, -0.02; 95% CI], Z = 2.42, P = 0.02). Diabetes incidence was only reported in two studies, with reductions of 58% and 56% versus control groups. In summary, multi-component lifestyle type 2 diabetes prevention interventions that include diet and both aerobic and resistance exercise training are modestly effective in inducing weight loss and improving impaired fasting glucose, glucose tolerance, dietary and exercise outcomes in at risk and prediabetic adult populations. These results support the current exercise guidelines for the inclusion of resistance training in type 2 diabetes prevention, however there remains a need for more rigorous studies, with long-term follow-up evaluating program efficacy, muscular fitness outcomes, diabetes incidence and risk reduction.

Indexed as

DietExerciseResistance TrainingBlood GlucoseDiabetes Mellitus, Type 2FastingHumansLife StyleRandomized Controlled Trials as TopicWeight LossBlood Glucose

Identifiers

PMID24423095
PMCPMC3898566
OpenAlexW2108155721

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.