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The aging human body shape.

Alexander Frenzel1, Hans Binder1,2, Nadja Walter3

  • 11Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107 Leipzig, Germany.

NPJ Aging and Mechanisms of Disease
|March 29, 2020
PubMed
Summary
This summary is machine-generated.

Human body shapes change with age, with distinct trajectories for different body types. This research uses body scanning to link body shape diversity to health risks in an aging population.

Keywords:
AgeingHealth care

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Area of Science:

  • Anthropometry
  • Human body composition
  • Epidemiological research

Background:

  • Human body shape and composition vary significantly, impacting health outcomes.
  • Accurate anthropometric data is crucial for understanding human diversity, age-related changes, and health risks.

Purpose of the Study:

  • To apply whole-body laser scanning and machine learning to stratify participants into body types.
  • To describe body shape diversity in an aging population (40-80 years).
  • To investigate associations between body types, physical activity, and health/lifestyle factors.

Main Methods:

  • Whole-body laser scanning of 8499 individuals (LIFE study cohort).
  • Machine learning for processing multidimensional anthropometric data into body types.
  • Analysis of associations with physical activity, body mass index, and self-reported myocardial infarction incidence.

Main Results:

  • Aging leads to similar body reshaping in men and women, despite diverse body types.
  • Slim body types tend to remain lean or become more fragile; obese types remain obese.
  • Physical activity inversely correlates with body mass index and decreases with age; myocardial infarction incidence shows an inverse trend.

Conclusions:

  • Body typing reveals distinct life course trajectories for different body shapes in aging populations.
  • Body shape is linked to health and lifestyle factors, including physical activity and obesity.
  • Personalized anthropometry through body typing offers potential for improved health risk assessment in research and clinical settings.