Evidence map›Paper›PMID 35610522›Full record

Observational studyDiabetologia2022

Age- and sex-specific effects of a long-term lifestyle intervention on body weight and cardiometabolic health markers in adults with prediabetes: results from the diabetes prevention study PREVIEW.

Ruixin Zhu, Ionut Craciun, Jan Bernhards-Werge, Elli Jalo, Sally D Poppitt, Marta P Silvestre, Maija Huttunen-Lenz, Melitta A McNarry, Gareth Stratton, Svetoslav Handjiev and 15 more

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in Diabetologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01777893 (PREVention of Diabetes Through Lifestyle Intervention and Population Studies in Europe and Around the World), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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.

NCT01777893 nacompletednot on this map

PREVention of Diabetes Through Lifestyle Intervention and Population Studies in Europe and Around the World

TypeinterventionalSponsorAnne Birgitte RabenRan2013 to 2018Enrolled2,500ConditionsPre-diabetes, ObesityArmsHigh protein/ high intensity physical activity (HP-HI), High protein / moderate intensity physical activity (HP-MI), Moderate protein/ high intensity physical activity (MP-HI), Moderate protein/ moderate intensity physical activity (MP-MI)
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  16. Optimal lifestyle patterns for delaying ageing and reducing all-cause mortality: insights from the UK Biobank.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
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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

25 authors at 13 institutions in 11 countries.

Ruixin ZhuDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-2170-4667
Ionut CraciunDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-6740-8113
Jan Bernhards-WergeDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-8551-1234
Elli JaloDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-9987-1716
Sally D PoppittHuman Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-2214-8378
Marta P SilvestreHuman Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-9327-2897
Maija Huttunen-LenzInstitute for Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany.ORCID https://orcid.org/0000-0002-1034-1613
Melitta A McNarryApplied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0003-0813-7477
Gareth StrattonApplied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0001-5618-0803
Svetoslav HandjievDepartment of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria.ORCID https://orcid.org/0000-0002-9717-7106
Teodora Handjieva-DarlenskaDepartment of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria.ORCID https://orcid.org/0000-0001-8307-343X
Santiago Navas-CarreteroCentre for Nutrition Research, University of Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0002-5163-2230
Jouko SundvallFinnish Institute for Health and Welfare, Helsinki, Finland.
Tanja C AdamDepartment of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.ORCID https://orcid.org/0000-0002-7840-5003
Mathijs DrummenDepartment of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.ORCID https://orcid.org/0000-0003-3896-043X
Elizabeth J SimpsonMRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0001-9353-6258
Ian A MacdonaldMRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-7540-9850
Jennie Brand-MillerSchool of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-6797-8754
Roslyn MuirheadSchool of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-4374-0362
Tony LamNetUnion, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3940-7129
Pia S VestentoftDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-8977-9983
Kristine FærchClinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.ORCID https://orcid.org/0000-0002-6127-0448
J Alfredo MartinezCentro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Instituto de Salud Carlos III (ISCII), Madrid, Spain.ORCID https://orcid.org/0000-0001-5218-6941
Mikael FogelholmDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland. mikael.fogelholm@helsinki.fi.ORCID https://orcid.org/0000-0001-8110-102X
Anne RabenDepartment of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark. ara@nexs.ku.dk.ORCID http://orcid.org/0000-0001-5229-4491
University of Copenhagen · DKMaastricht University · NLMedical University of Sofia · BGSwansea University · GBThe University of Sydney · AUUniversity of Auckland · NZUniversity of Helsinki · FIUniversity of Nottingham · GBFinnish Institute for Health and Welfare · FIInstituto de Salud Carlos III · ESMadrid Institute for Advanced Studies · ESNetUnion (Switzerland) · CHUniversity of Design Schwäbisch Gmünd · DE

Funding

Biotechnology and Biological Sciences Research CouncilDepartment of Health
6 · The paper itself

Abstract

aims/hypothesisLifestyle interventions are the first-line treatment option for body weight and cardiometabolic health management. However, whether age groups or women and men respond differently to lifestyle interventions is under debate. We aimed to examine age- and sex-specific effects of a low-energy diet (LED) followed by a long-term lifestyle intervention on body weight, body composition and cardiometabolic health markers in adults with prediabetes (i.e. impaired fasting glucose and/or impaired glucose tolerance).

methodsThis observational study used longitudinal data from 2223 overweight participants with prediabetes in the multicentre diabetes prevention study PREVIEW. The participants underwent a LED-induced rapid weight loss (WL) period followed by a 3 year lifestyle-based weight maintenance (WM) intervention. Changes in outcomes of interest in prespecified age (younger: 25-45 years; middle-aged: 46-54 years; older: 55-70 years) or sex (women and men) groups were compared.

resultsIn total, 783 younger, 319 middle-aged and 1121 older adults and 1503 women and 720 men were included in the analysis. In the available case and complete case analyses, multivariable-adjusted linear mixed models showed that younger and older adults had similar weight loss after the LED, whereas older adults had greater sustained weight loss after the WM intervention (adjusted difference for older vs younger adults -1.25% [95% CI -1.92, -0.58], p<0.001). After the WM intervention, older adults lost more fat-free mass and bone mass and had smaller improvements in 2 h plasma glucose (adjusted difference for older vs younger adults 0.65 mmol/l [95% CI 0.50, 0.80], p<0.001) and systolic blood pressure (adjusted difference for older vs younger adults 2.57 mmHg [95% CI 1.37, 3.77], p<0.001) than younger adults. Older adults had smaller decreases in fasting and 2 h glucose, HbA CONCLUSIONS/

interpretationOlder adults benefited less from a lifestyle intervention in relation to body composition and cardiometabolic health markers than younger adults, despite greater sustained weight loss. Women benefited less from a LED followed by a lifestyle intervention in relation to body weight and body composition than men. Future interventions targeting older adults or women should take prevention of fat-free mass and bone mass loss into consideration. CLINICAL TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT01777893.

Indexed as

Cardiovascular DiseasesPrediabetic StateAdultAgedBiomarkersBlood GlucoseCholesterol, HDLCholesterol, LDLFemaleGlucoseHumansLife StyleMaleMiddle AgedWeight LossBiomarkersBlood GlucoseCholesterol, HDLCholesterol, LDLGlucoseCardiovascular diseaseMenMiddle-aged peopleObesityOlder peopleWeight lossWeight loss maintenanceWomenYoung people

Identifiers

PMID35610522
PMCPMC9283166
OpenAlexW4281485550

What OpenQuestion holds

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LicenceCC BY
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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.