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3D-body scanner data of the LIFE adult study

3D-body scanner data of the LIFE adult study
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Three-dimensional (3D) whole body scanner data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig.

LHA-ID: 7XUCQW5V05-3

Data file type: Not specified

Human Diseases: No Human Disease specified

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Creators and Submitter

Creator

Henry Löffler-Wirth

Submitter

Henry Löffler-Wirth

License

Creative Commons Attribution 4.0

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Views: 676 Downloads: 1

Created: 29th Aug 2019 at 09:34

Last updated: 29th Aug 2019 at 09:34

Last used: 27th Nov 2020 at 14:51

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Projects (2)
Publications (2)
People (1)

LIFE - Leipzig Research Center for Civilization Diseases

Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.

Programme: Epidemiology

Public web page: http://life.uni-leipzig.de/

Start date: 1st Jan 2009

Organisms: Homo sapiens

Human Diseases: disease of anatomical entity, disease of cellular proliferation, disease of mental health, disease of metabolism, disease by infectious agent

LIFE Adult

This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT
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Programme: Epidemiology

Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html

Start date: 1st Jan 2009

Organisms: Homo sapiens

Human Diseases: mood disorder, dementia, coronary artery disease, obesity

The aging human body shape.

LIFE Adult

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Markus Löffler

Henry Löffler-Wirth

Hans Binder

Abstract (Expand)

Body shape and composition are heterogeneous among humans with possible impact for health. Anthropometric methods and data are needed to better describe the diversity of the human body in human … populations, its age dependence, and associations with health risk. We applied whole-body laser scanning to a cohort of 8499 women and men of age 40-80 years within the frame of the LIFE (Leipzig Research Center for Civilization Diseases) study aimed at discovering health risk in a middle European urban population. Body scanning delivers multidimensional anthropometric data, which were further processed by machine learning to stratify the participants into body types. We here applied this body typing concept to describe the diversity of body shapes in an aging population and its association with physical activity and selected health and lifestyle factors. We find that aging results in similar reshaping of female and male bodies despite the large diversity of body types observed in the study. Slim body shapes remain slim and partly tend to become even more lean and fragile, while obese body shapes remain obese. Female body shapes change more strongly than male ones. The incidence of the different body types changes with characteristic Life Course trajectories. Physical activity is inversely related to the body mass index and decreases with age, while self-reported incidence for myocardial infarction shows overall the inverse trend. We discuss health risks factors in the context of body shape and its relation to obesity. Body typing opens options for personalized anthropometry to better estimate health risk in epidemiological research and future clinical applications.

Authors: A. Frenzel, H. Binder, N. Walter, K. Wirkner, M. Loeffler, H. Loeffler-Wirth

Date Published: 29th Mar 2020

Publication Type: Not specified

PubMed ID: 32218988

Citation: NPJ Aging Mech Dis. 2020 Mar 24;6:5. doi: 10.1038/s41514-020-0043-9. eCollection 2020.

Created: 17th Apr 2020 at 19:02, Last updated: 17th Apr 2020 at 19:03

Novel Anthropometry Based on 3D-Bodyscans Applied to a Large Population Based Cohort.

LIFE Adult, Genetical Statistics and Systems Biology

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Markus Löffler

Henry Löffler-Wirth

Christoph Engel

Hans Binder

Kerstin Wirkner

Abstract (Expand)

Three-dimensional (3D) whole body scanners are increasingly used as precise measuring tools for the rapid quantification of anthropometric measures in epidemiological studies. We analyzed 3D whole body … scanning data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig, one of the largest cities in Eastern Germany. We present a novel approach for the systematic analysis of this data which aims at identifying distinguishable clusters of body shapes called body types. In the first step, our method aggregates body measures provided by the scanner into meta-measures, each representing one relevant dimension of the body shape. In a next step, we stratified the cohort into body types and assessed their stability and dependence on the size of the underlying cohort. Using self-organizing maps (SOM) we identified thirteen robust meta-measures and fifteen body types comprising between 1 and 18 percent of the total cohort size. Thirteen of them are virtually gender specific (six for women and seven for men) and thus reflect most abundant body shapes of women and men. Two body types include both women and men, and describe androgynous body shapes that lack typical gender specific features. The body types disentangle a large variability of body shapes enabling distinctions which go beyond the traditional indices such as body mass index, the waist-to-height ratio, the waist-to-hip ratio and the mortality-hazard ABSI-index. In a next step, we will link the identified body types with disease predispositions to study how size and shape of the human body impact health and disease.

Authors: H. Loffler-Wirth, E. Willscher, P. Ahnert, K. Wirkner, C. Engel, M. Loeffler, H. Binder

Date Published: 29th Jul 2016

Publication Type: Not specified

Human Diseases: obesity

PubMed ID: 27467550

Citation: PLoS One. 2016 Jul 28;11(7):e0159887. doi: 10.1371/journal.pone.0159887. eCollection 2016.

Created: 13th May 2019 at 08:18, Last updated: 13th May 2019 at 08:19

Henry Löffler-Wirth