Global, regional and time-trend prevalence of central obesity: a systematic review and meta-analysis of 13.2 million subjects

Eur J Epidemiol. 2020 Jul;35(7):673-683. doi: 10.1007/s10654-020-00650-3. Epub 2020 May 24.

Abstract

We aimed to examine the global prevalences of central obesity according to age, sex, race, place of residence, geographical region, national income level, and the definitions of central obesity. MEDLINE and Embase were searched. Studies with sample size of ≥ 500 and investigated individuals aged ≥ 15 years were included. Metaprop (a Stata command) was adopted to conduct a meta-analysis of prevalence, and the Freeman-Tukey Double Arcsine Transformation was used to stabilize the variances. A random-effects model was used to evaluate the prevalence and 95% confidence intervals (CI) of central obesity. There were 288 studies involving 13,233,675 individuals in this analysis. The overall prevalence of central obesity was 41.5% (95% CI 39.9-43.2%). A higher prevalence was found in older individuals, female subjects, urban residents, Caucasians, and populations of higher income level countries. Regarding regional variations, the highest prevalence was found in Sothern America (55.1%, 95% CI 45.8-64.3%) and Central American (52.9%, 95% CI 32.7-72.7%). Its prevalence was rapidly rising from 1985 to 2014. From 1985-1999 to 2010-2014, younger subjects aged 15-40 years showed a more drastic rise in prevalence (16.3 to 33.9%) than subjects aged > 40 years (43.6 to 57.9%). Male individuals have a more drastic rise (25.3 to 41.6%) than females (38.6 to 49.7%). Major increasing in prevalence of the condition in the past three decades, particularly in certain subgroups. These findings could act as a useful reference to inform public health strategies to minimize the impact of central obesity on population health.

Keywords: Central obesity; Epidemiology; Prevalence; Temporal trend; Waist circumference.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Developed Countries / statistics & numerical data*
  • Developing Countries / statistics & numerical data*
  • Humans
  • Middle Aged
  • Obesity, Abdominal / epidemiology*
  • Prevalence
  • Racial Groups
  • Residence Characteristics / statistics & numerical data*
  • Risk Factors
  • Sex Factors
  • Waist Circumference
  • Young Adult