Assessment of Age-Induced Changes in Body Fat Percentage and BMI Aided by Bayesian Modelling: A Cross-Sectional Cohort Study in Middle-Aged and Older Adults

Clin Interv Aging. 2020 Dec 8:15:2301-2311. doi: 10.2147/CIA.S277171. eCollection 2020.

Abstract

Background: Loss of fat-free mass (FFM) and gain in body fat (BF) are the key disability risk factors, also instrumental in perpetuating already existing functional disorders. Obesity construed in terms of body mass index (BMI) values, in view of undesirable gain in BF, is a risk factor for cardio-metabolic disorders. Both detrimental processes clearly evidence a scope of involutionary changes characteristic of an aging population, also standing for one of its greatest burdens.

Purpose: The present study aimed to assess the changes in body composition (BC), in conjunction with the relationship between BF% and BMI, for defining overweight and obesity status in middle-aged and older adults, against the select indicator variables under study.

Materials and methods: The study involved 4799 individuals (33.7% men), PONS Project participants, aged 43-64 years. BF% was measured with the aid of bioelectrical impedance analysis (BIA) method. Age-induced changes in BC were determined against BF%, fat mass (FM), FFM, BMI, fat mass index (FMI), and fat-free mass index (FFMI). The relationship between BF% and BMI was established with the aid of Bayesian regression models, adjusted for gender and age.

Results: In both genders, BF% increased with age at a similar annual rate. The reduction of FFM was noted mainly in men, which in conjunction with BF% gain ensured BMI stability. The increase in BF% in women with stable FFM affected an increase in BMI. Regardless of the BMI threshold, the anticipated (predicted) BF% increased with age in both genders.

Conclusion: Monitoring of BC is of particular importance in older adults, in view of appreciably better characteristics of both the short- and long-term health predictors, as well as overall potential for developing specifically targeted, effective health interventions.

Keywords: age; body composition; body fat percentage; body mass index; obesity; public health.

MeSH terms

  • Adipose Tissue / physiology*
  • Adult
  • Aging / physiology*
  • Bayes Theorem
  • Body Composition
  • Body Mass Index*
  • Cohort Studies
  • Cross-Sectional Studies
  • Electric Impedance
  • Female
  • Humans
  • Male
  • Middle Aged
  • Obesity / diagnosis
  • Obesity / physiopathology
  • Overweight / diagnosis*
  • Overweight / physiopathology*

Grants and funding

The research Project PONS – Polish-Norwegian Study (Ref. No PNRF-228- AI-1/07), named “Establishment of the infrastructure to facilitate studies on the health status of Poland’s population,” was financed out of the Polish-Norwegian Foundation Research Fund. The Project is supported under the programme established by the Minister of Science and Higher Education - “Regional Initiative of Excellence” - spanning the period 2019–2022; Project No 024/RID/2018/19; amount of financing allocated: PLN 11999 000.00.