Literature DB >> 30537867

Body composition and mortality in the general population: A review of epidemiologic studies.

Dong Hoon Lee1, Edward L Giovannucci1,2,3.   

Abstract

IMPACT STATEMENT: Current understanding of the association of body composition on mortality in the general population is limited. This review evaluated the available epidemiologic studies on body composition and mortality that leveraged diverse approaches to estimate body composition. Although studies showed inconsistent results, there was evidence suggesting that high fat mass and low lean body mass may be independently associated with mortality in the general population. This review may help partially explain the "obesity paradox" phenomenon and facilitate further studies to advance the understanding of the association of body composition on health in the general and patient populations.

Entities:  

Keywords:  Body composition; body mass index; fat mass; lean body mass; mortality; obesity paradox

Mesh:

Year:  2018        PMID: 30537867      PMCID: PMC6348595          DOI: 10.1177/1535370218818161

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  36 in total

Review 1.  Techniques of body composition assessment: a review of laboratory and field methods.

Authors:  D R Wagner; V H Heyward
Journal:  Res Q Exerc Sport       Date:  1999-06       Impact factor: 2.500

2.  Region-specific fat mass and muscle mass and mortality in community-dwelling older men and women.

Authors:  Hanneke A H Wijnhoven; Marieke B Snijder; Marian A E van Bokhorst-de van der Schueren; Dorly J H Deeg; Marjolein Visser
Journal:  Gerontology       Date:  2011-03-01       Impact factor: 5.140

3.  Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999-2006.

Authors:  Dong Hoon Lee; NaNa Keum; Frank B Hu; E John Orav; Eric B Rimm; Qi Sun; Walter C Willett; Edward L Giovannucci
Journal:  Br J Nutr       Date:  2017-11-07       Impact factor: 3.718

4.  Sarcopenia, sarcopenic obesity and mortality in older adults: results from the National Health and Nutrition Examination Survey III.

Authors:  J A Batsis; T A Mackenzie; L K Barre; F Lopez-Jimenez; S J Bartels
Journal:  Eur J Clin Nutr       Date:  2014-06-25       Impact factor: 4.016

5.  BMI-related errors in the measurement of obesity.

Authors:  K J Rothman
Journal:  Int J Obes (Lond)       Date:  2008-08       Impact factor: 5.095

6.  A comparison of adiposity measures as predictors of all-cause mortality: the Melbourne Collaborative Cohort Study.

Authors:  Julie A Simpson; Robert J MacInnis; Anna Peeters; John L Hopper; Graham G Giles; Dallas R English
Journal:  Obesity (Silver Spring)       Date:  2007-04       Impact factor: 5.002

7.  Body composition and survival in stable coronary heart disease: impact of lean mass index and body fat in the "obesity paradox".

Authors:  Carl J Lavie; Alban De Schutter; Dharmendrakumar A Patel; Abel Romero-Corral; Surya M Artham; Richard V Milani
Journal:  J Am Coll Cardiol       Date:  2012-09-05       Impact factor: 24.094

Review 8.  Muscle wasting in disease: molecular mechanisms and promising therapies.

Authors:  Shenhav Cohen; James A Nathan; Alfred L Goldberg
Journal:  Nat Rev Drug Discov       Date:  2015-01       Impact factor: 84.694

9.  Predicted lean body mass, fat mass, and all cause and cause specific mortality in men: prospective US cohort study.

Authors:  Dong Hoon Lee; NaNa Keum; Frank B Hu; E John Orav; Eric B Rimm; Walter C Willett; Edward L Giovannucci
Journal:  BMJ       Date:  2018-07-03

Review 10.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

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  16 in total

Review 1.  The Obesity Paradox in Cancer: Epidemiologic Insights and Perspectives.

Authors:  Dong Hoon Lee; Edward L Giovannucci
Journal:  Curr Nutr Rep       Date:  2019-09

2.  A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival.

Authors:  Patrick T Bradshaw; Jose P Zevallos; Kathy Wisniewski; Andrew F Olshan
Journal:  Am J Epidemiol       Date:  2019-11-01       Impact factor: 4.897

3.  Predicted lean body mass, fat mass and risk of lung cancer: prospective US cohort study.

Authors:  Su-Min Jeong; Dong Hoon Lee; Edward L Giovannucci
Journal:  Eur J Epidemiol       Date:  2019-11-21       Impact factor: 8.082

4.  The impact of body mass index on one-year mortality after spinal cord injury.

Authors:  Huacong Wen; Michael J DeVivo; Tapan Mehta; Navneet Kaur Baidwan; Yuying Chen
Journal:  J Spinal Cord Med       Date:  2019-11-15       Impact factor: 1.985

5.  Retinal Vascular Tortuosity and Diameter Associations with Adiposity and Components of Body Composition.

Authors:  Robyn J Tapp; Christopher G Owen; Sarah A Barman; Roshan A Welikala; Paul J Foster; Peter H Whincup; David P Strachan; Alicja R Rudnicka
Journal:  Obesity (Silver Spring)       Date:  2020-07-29       Impact factor: 5.002

6.  Maternal weight change from prepregnancy to 18 months postpartum and subsequent risk of hypertension and cardiovascular disease in Danish women: A cohort study.

Authors:  Helene Kirkegaard; Mette Bliddal; Henrik Støvring; Kathleen M Rasmussen; Erica P Gunderson; Lars Køber; Thorkild I A Sørensen; Ellen A Nøhr
Journal:  PLoS Med       Date:  2021-04-02       Impact factor: 11.069

7.  Precision MRI phenotyping enables detection of small changes in body composition for longitudinal cohorts.

Authors:  Brandon Whitcher; Marjola Thanaj; Madeleine Cule; Yi Liu; Nicolas Basty; Elena P Sorokin; Jimmy D Bell; E Louise Thomas
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

8.  Precise Prediction of Total Body Lean and Fat Mass From Anthropometric and Demographic Data: Development and Validation of Neural Network Models.

Authors:  Simon Lebech Cichosz; Nicklas Højgaard Rasmussen; Peter Vestergaard; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2020-11-16

Review 9.  Reference Values for Skeletal Muscle Mass - Current Concepts and Methodological Considerations.

Authors:  Carina O Walowski; Wiebke Braun; Michael J Maisch; Björn Jensen; Sven Peine; Kristina Norman; Manfred J Müller; Anja Bosy-Westphal
Journal:  Nutrients       Date:  2020-03-12       Impact factor: 5.717

10.  Synergic association of diabetes mellitus and chronic kidney disease with muscle loss and cachexia: results of a 16-year longitudinal follow-up of a community-based prospective cohort study.

Authors:  Changhyun Lee; Hyun Jung Kim; Tae Ik Chang; Ea Wha Kang; Young Su Joo; Hyung Woo Kim; Jung Tak Park; Tae-Hyun Yoo; Shin-Wook Kang; Seung Hyeok Han
Journal:  Aging (Albany NY)       Date:  2021-09-16       Impact factor: 5.682

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