Abstract: TH-PO923
Association of Obesity, Metabolic Syndrome, and Diabetes with CKD in Men and Women: National Health and Nutrition Examination Survey (NHANES), 2003-2020
Session Information
- Health Maintenance, Nutrition, Metabolism - I
November 02, 2023 | Location: Exhibit Hall, Pennsylvania Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Health Maintenance, Nutrition, and Metabolism
- 1500 Health Maintenance, Nutrition, and Metabolism
Authors
- Fwu, Chyng-Wen, Social & Scientific Systems, Inc., a DLH Holdings Corp (DLH) company, Silver Spring, Maryland, United States
- Barthold, Julia, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States
- Kimmel, Paul L., National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States
- Norton, Jenna M., National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States
- Mendley, Susan R., National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States
- Star, Robert A., National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States
- Schulman, Ivonne Hernandez, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States
Background
Associations between chronic kidney disease (CKD), obesity, and metabolic syndrome (MetS) have been documented previously, but how these associations vary across obesity/metabolic phenotypes in males and females has not been evaluated extensively.
Methods
Data were analyzed for 8,586 male and 8,420 non-pregnant female adults (≥20 years), from the 2003-2020 cycles of the NHANES. CKD (defined as albuminuria and/or eGFR<60ml/min), MetS (defined as ≥3 of the following: hypertension, prediabetes, hypertriglyceridemia, low HDL cholesterol, and/or central obesity), and obesity (BMI≥30) were identified by physical examination and/or results from fasting laboratory samples. Diabetes was identified by self-report, prior diagnosis, and/or high fasting glucose or hemoglobin A1C. Participants without diabetes were further categorized according to 4 obesity/metabolic phenotypes: metabolically healthy non-obese (MHNO), metabolically unhealthy non-obese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). Multivariable-adjusted logistic regression models were used to examine the relationship of CKD with obesity/metabolic phenotypes using appropriate sampling weights.
Results
The prevalence (95% CI) of CKD for male and female diabetics was 36.7% (33.6-39.8) and 35.9% (32.2-39.9), respectively. The prevalence of CKD for male and female MUNO was 13.2% (10.6-16.5) and 21.0% (18.0-24.3), respectively; for MUO 10.9% (9.1-13.1) and 14.8% (12.9-16.9); for MHNO 5.6% (4.9-6.5) and 9.6% (8.5-10.9); and for MHO 4.6% (3.4-6.2) and 8.4% (6.6-10.7). CKD was associated with the metabolically unhealthy phenotypes in males [adjusted odds ratio: MUNO 1.94 (1.41-2.68) and MUO 1.83 (1.40-2.38)], but only with MUNO [1.50 (1.12-1.99)] among females.
Conclusion
These findings suggest different associations between MetS and CKD between males and females. Understanding how sex-specific differences, such as sex hormones, modulate the interaction between obesity/metabolic phenotypes and CKD may provide additional avenues for prevention and treatment.
Funding
- NIDDK Support