Sofa Christakoudi, Konstantinos K. Tsilidis, David C. Muller, Heinz Freisling, Elisabete Weiderpass, Kim Overvad, Stefan Söderberg, Christel Häggström, Tobias Pischon, Christina C. Dahm, Jie Zhang, Anne Tjønneland, Matthias Bernd Schulze
- Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, whileAbdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI<18.5 kg/m(2)) or obese (BMI30 kg/m(2)) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.…
MetadatenAuthor details: | Sofa ChristakoudiORCiD, Konstantinos K. TsilidisGND, David C. MullerORCiD, Heinz FreislingORCiDGND, Elisabete WeiderpassORCiD, Kim OvervadORCiD, Stefan SöderbergORCiD, Christel Häggström, Tobias PischonORCiDGND, Christina C. DahmORCiD, Jie ZhangORCiD, Anne TjønnelandORCiD, Matthias Bernd SchulzeORCiDGND |
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URN: | urn:nbn:de:kobv:517-opus4-525827 |
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DOI: | https://doi.org/10.25932/publishup-52582 |
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ISSN: | 1866-8372 |
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Title of parent work (German): | Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe |
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Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (1200) |
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Publication type: | Postprint |
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Language: | English |
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Publication year: | 2020 |
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Publishing institution: | Universität Potsdam |
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Release date: | 2021/11/11 |
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Tag: | adiposity; all-cause mortality; anthropometric measures; cancer; mass index; overweight; prediction; size |
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Issue: | 1 |
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Article number: | 14541 |
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Number of pages: | 17 |
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Source: | Sci Rep 10, 14541 (2020). https://doi.org/10.1038/s41598-020-71302-5 |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Ernährungswissenschaft |
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DDC classification: | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
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Peer review: | Referiert |
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Publishing method: | Open Access / Green Open-Access |
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License (German): | CC-BY - Namensnennung 4.0 International |
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External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |
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