Evidence map›Paper›PMID 29694359›Full record

ArticlePloS one2018

Body silhouettes as a tool to reflect obesity in the past.

Marianne Lønnebotn, Cecilie Svanes, Jannicke Igland, Karl A Franklin, Simone Accordini, Bryndís Benediktsdóttir, Hayat Bentouhami, José A G Blanco, Roberto Bono, Angelo Corsico and 18 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Trial
  2. "International journal of qualitative studies on health and well-being · 2026
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  14. The Exposome Approach in Allergies and Lung Diseases: Is It Time to Define a Preconception Exposome?International journal of environmental research and public health · 2021
    Review
  15. Review
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  17. Article
  18. Associations of Preconception Exposure to Air Pollution and Greenness with Offspring Asthma and Hay Fever.International journal of environmental research and public health · 2020
    Article
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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

28 authors.

Marianne LønnebotnDepartment of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0002-5594-1567
Cecilie SvanesDepartment of Occupational Medicine, Haukeland University Hospital, Bergen, Norway.
Jannicke IglandDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Karl A FranklinDepartment of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
Simone AccordiniUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Bryndís BenediktsdóttirFaculty of Medicine, University of Iceland, Reykjavik, Iceland.
Hayat BentouhamiEpidemiology and Social Medicine, University of Antwerp, Wilrijk, Belgium.
José A G BlancoDepartment of Pulmonology, Universitary Hospital San Agustín, Avilés, Spain.
Roberto BonoDepartment of Public Health and Pediatrics, University of Turin, Turin, Italy.
Angelo CorsicoDivision of Respiratory Diseases, IRCCS Policlinico San Matteo Foundation - Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy.
Pascal DemolyDepartment of Pulmonology, Division of Allergy, Hospital Arnaud de Villeneuve, University of Montpellier, Montpellier, France.
Shyamali DharmageAllergy and Lung Health Unit, School of Population and Global Health, The University of Melbourne, Melbourne, Australia.
Sandra Dorado ArenasRespiratory Department, Galdakao-Usansolo Hospital, Biscay, Spain.
Judith GarciaISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
Joachim HeinrichInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU München, German Center for Lung Research, München, Germany.
Mathias HolmDepartment of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
Christer JansonDepartment of Medical Sciences: Respiratory, Allergy & Sleep Research, Uppsala University, Uppsala, Sweden.
Debbie JarvisPopulation Health and Occupational Disease, National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Bénédicte LeynaertInserm U1152, Pathophysiology and Epidemiology of Respiratory Diseases, Epidemiology Team, Paris, France.
Jesús Martinez-MoratallaServicio de Neumología del Complejo, Servicio de Salud de Castilla - La Mancha, Castilla-La Mancha, Spain.
Dennis NowakInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU München, German Center for Lung Research, München, Germany.
Isabelle PinCHU Grenoble Alpes, Grenoble, France.
Chantal Raherison-SemjenInserm, Bordeaux Population Health Research Center, team EPICENE, UMR 1219, University Bordeaux, Bordeaux, France.
Jose Luis Sánchez-RamosDepartment of Nursing, University of Huelva, Huelva, Spain.
Vivi SchlünssenDepartment of Public Health, Aarhus University, Aarhus, Denmark.
Svein Magne SkulstadDepartment of Immunology and Transfusion Medicine, Haukeland University Hospital, Bergen, Norway.
Julia DratvaSwiss Tropical and Public Health Institute, Basel, Switzerland.
Francisco Gómez RealDepartment of Clinical Science, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life course data on obesity may enrich the quality of epidemiologic studies analysing health consequences of obesity. However, achieving such data may require substantial resources. We investigated the use of body silhouettes in adults as a tool to reflect obesity in the past. We used large population-based samples to analyse to what extent self-reported body silhouettes correlated with the previously measured (9-23 years) body mass index (BMI) from both measured (European Community Respiratory Health Survey, N = 3 041) and self-reported (Respiratory Health In Northern Europe study, N = 3 410) height and weight. We calculated Spearman correlation between BMI and body silhouettes and ROC-curve analyses for identifying obesity (BMI ≥30) at ages 30 and 45 years. Spearman correlations between measured BMI age 30 (±2y) or 45 (±2y) and body silhouettes in women and men were between 0.62-0.66 and correlations for self-reported BMI were between 0.58-0.70. The area under the curve for identification of obesity at age 30 using body silhouettes vs previously measured BMI at age 30 (±2y) was 0.92 (95% CI 0.87, 0.97) and 0.85 (95% CI 0.75, 0.95) in women and men, respectively; for previously self-reported BMI, 0.92 (95% CI 0.88, 0.95) and 0.90 (95% CI 0.85, 0.96). Our study suggests that body silhouettes are a useful epidemiological tool, enabling retrospective differentiation of obesity and non-obesity in adult women and men.

Indexed as

Body ImageBody Mass IndexObesityAdultArea Under CurveBody HeightBody WeightEuropeFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesROC Curve

Identifiers

PMID29694359
PMCPMC5918897

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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.