Association of Metabolically Healthy Obesity and Glomerular Filtration Rate among Male Steelworkers in North China

Int J Environ Res Public Health. 2022 Sep 18;19(18):11764. doi: 10.3390/ijerph191811764.

Abstract

This study aims to investigate the association between metabolically healthy obesity (MHO) and the early stages of renal dysfunction and whether systemic inflammation affects the study's outcome. Male steelworkers in northern China were investigated in this cross-sectional survey (n = 6309). A decrease in estimated glomerular filtration rate (eGFR) was used as the primary outcome, which was defined as an eGFR of ≤89 mL/min/1.73 m2. A BMI ≥ 25 kg/m2 was used to determine obesity. In the definition of metabolic health, the absence of metabolic syndrome components is considered metabolically healthy. An assessment of inflammation was carried out using a surrogate marker called high-sensitivity C-reactive protein (hs-CRP). The adjusted odds ratio (OR) and confidence intervals (CIs) were estimated using the multivariable logistic regression model. After adjusting for hs-CRP, MHO (OR = 1.97; 95% CI: 1.21 to 3.21) was significantly associated with decreased eGFR compared to metabolically healthy non-obesity (MHNO). With the MHNO/hs-CRP ≤ 0.01 mg/dL group as a reference, the OR was 2.17 (95% CI: 1.17 to 4.02) for decreased eGFR in the group with MHO/hs-CRP > 0.01 mg/dL. MHO is associated with renal dysfunction at an early stage. To some degree, this risk can be explained by the level of inflammation.

Keywords: inflammation; metabolically healthy obesity; renal function.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index
  • C-Reactive Protein
  • China / epidemiology
  • Cross-Sectional Studies
  • Glomerular Filtration Rate
  • Humans
  • Inflammation
  • Kidney Diseases*
  • Male
  • Metabolic Syndrome* / epidemiology
  • Obesity, Metabolically Benign*
  • Risk Factors

Substances

  • C-Reactive Protein

Grants and funding

This work was supported by the National Key R&D Program of China (No. 2016YFC0900605) and the Graduate Student Innovation Fund of North China University of Science and Technology (No. CXZZBS2022111).