AI Article Synopsis

  • The study examines the connection between chronic kidney disease (CKD) risk and four metabolic phenotypes related to obesity and metabolic health, utilizing data from the Tehran Lipid and Glucose Study over 21 years.
  • It categorizes participants based on their body mass index (BMI) and metabolic health, identifying significant CKD incidents and calculating hazard ratios (HR) to assess risk.
  • Findings reveal that individuals in the "Metabolically Unhealthy-Obesity" group have the highest CKD risk, emphasizing the importance of addressing weight and metabolic health issues, especially in early adulthood, for preventive health strategies.

Article Abstract

This study investigates the risk of chronic kidney disease (CKD) across four metabolic phenotypes: Metabolically Healthy-No Obesity (MH-NO), Metabolically Unhealthy-No obesity (MU-NO), Metabolically Healthy-Obesity (MH-O), and Metabolically Unhealthy-Obesity (MU-O). Data from the Tehran Lipid and Glucose Study, collected from 1999 to 2020, were used to categorize participants based on a BMI ≥ 30 kg/m and metabolic health status, defined by the presence of three or four of the following components: high blood pressure, elevated triglycerides, low high-density lipoprotein, and high fasting blood sugar. CKD, characterized by a glomerular filtration rate < 60 ml/min/1.72 m. The hazard ratio (HR) of CKD risk was evaluated using Cox proportional hazard models. The study included 8731 participants, with an average age of 39.93 years, and identified 734 incidents of CKD. After adjusting for covariates, the MU-O group demonstrated the highest risk of CKD progression (HR 1.42-1.87), followed by the MU-NO group (HR 1.33-1.67), and the MH-O group (HR 1.18-1.54). Persistent MU-NO and MU-O posed the highest CKD risk compared to transitional states, highlighting the significance of exposure during early adulthood. These findings emphasize the independent contributions of excess weight and metabolic health, along with its components, to CKD risk. Therefore, preventive strategies should prioritize interventions during early-adulthood.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10912755PMC
http://dx.doi.org/10.1038/s41598-024-56061-xDOI Listing

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