Evidence map›Paper›PMID 39009699›Full record

ArticleScientific reports2024

On the use of the healthy lifestyle index to investigate specific disease outcomes.

Vivian Viallon, Heinz Freisling, Komodo Matta, Anne Østergaard Nannsen, Christina C Dahm, Anne Tjønneland, Anne Kirstine Eriksen, Rudolf Kaaks, Verena A Katzke, Matthias B Schulze and 23 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Genetic Risk, Healthy Lifestyle, and Risk Stratification for Diverticulitis.Journal of the American College of Surgeons · 2026
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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

33 authors.

Vivian ViallonInternational Agency for Research On Cancer (IARC-WHO), Lyon, France. viallonv@iarc.who.int.
Heinz FreislingInternational Agency for Research On Cancer (IARC-WHO), Lyon, France.
Komodo MattaInternational Agency for Research On Cancer (IARC-WHO), Lyon, France.
Anne Østergaard NannsenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Christina C DahmDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Anne Kirstine EriksenDanish Cancer Society Research Center, Copenhagen, Denmark.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Giovanna MasalaInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.
Giovanna TagliabueCancer Registry Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy.
Vittorio SimeonUnit of Medical Statistics, University "L. Vanvitelli", Naples, Italy.
Rosario TuminoHyblean Association for Epidemiological Research, AIRE-ONLUS, Ragusa, Italy.
Lorenzo MilaniUnit of Cancer Epidemiology, Città Della Salute E Della Scienza University-Hospital, and Center for Cancer Prevention (CPO), Turin, Italy.
Jeroen W G DerksenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Therese Haugdahl NøstK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Kristin Benjaminsen BorchDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Torkjel M SandangerDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
J Ramón QuirósPublic Health Directorate, Asturias, Spain.
Miguel Rodriguez-BarrancoEscuela Andaluza de Salud Pública (EASP), Granada, Spain.
Catalina BonetUnit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Barcelona, Spain.
Amaia Aizpurua-AtxegaSub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastián, Spain.
Lluís CireraCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Marcela GuevaraCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Björn SundströmDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Anna WinkvistDepartment of Public Health and Clinical Medicine, Sustainable Health, Umeå University, Umeå, Sweden.
Alicia K HeathDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Marc J GunterDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Elisabete WeiderpassInternational Agency for Research On Cancer (IARC-WHO), Lyon, France.
Mattias JohanssonInternational Agency for Research On Cancer (IARC-WHO), Lyon, France.
Pietro FerrariInternational Agency for Research On Cancer (IARC-WHO), Lyon, France.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The healthy lifestyle index (HLI), defined as the unweighted sum of individual lifestyle components, was used to investigate the combined role of lifestyle factors on health-related outcomes. We introduced weighted outcome-specific versions of the HLI, where individual lifestyle components were weighted according to their associations with disease outcomes. Within the European Prospective Investigation into Cancer and Nutrition (EPIC), we examined the association between the standard and the outcome-specific HLIs and the risk of T2D, CVD, cancer, and all-cause premature mortality. Estimates of the hazard ratios (HRs), the Harrell's C-index and the population attributable fractions (PAFs) were compared. For T2D, the HR for 1-SD increase of the standard and T2D-specific HLI were 0.66 (95% CI: 0.64, 0.67) and 0.43 (0.42, 0.44), respectively, and the C-index were 0.63 (0.62, 0.64) and 0.72 (0.72, 0.73). Similar, yet less pronounced differences in HR and C-index were observed for standard and outcome-specific estimates for cancer, CVD and all-cause mortality. PAF estimates for mortality before age 80 were 57% (55%, 58%) and 33% (32%, 34%) for standard and mortality-specific HLI, respectively. The use of outcome-specific HLI could improve the assessment of the role of lifestyle factors on disease outcomes, thus enhancing the definition of public health recommendations.

Indexed as

Cardiovascular DiseasesHealthy LifestyleNeoplasmsAdultAgedDiabetes Mellitus, Type 2EuropeFemaleHumansLife StyleMaleMiddle AgedMortality, PrematureProportional Hazards ModelsProspective StudiesRisk FactorsCancerCardiovascular diseasesComposite scoreHealthy lifestyle indexLifestyle factorsMortalityType 2 diabetes

Identifiers

PMID39009699
PMCPMC11250810

What OpenQuestion holds

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Registered trials

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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.