# Sex difference in the association between creatinine-to-cystatin C ratio and metabolic syndrome among Chinese adults

**Authors:** Jo-Hsuan Chen, Jau-Yuan Chen, Yi-Chuan Chen, Wen-Cheng Li

PMC · DOI: 10.3389/fendo.2024.1389295 · Frontiers in Endocrinology · 2024-08-14

## TL;DR

This study found that the creatinine-to-cystatin C ratio is linked to metabolic syndrome differently in men and women in China.

## Contribution

The study reveals sex-specific associations between the creatinine-to-cystatin C ratio and metabolic syndrome in Chinese adults.

## Key findings

- Females in the lowest creatinine-to-cystatin C ratio quartile had an 84% higher risk of metabolic syndrome.
- The ratio showed diagnostic potential for metabolic syndrome in females but not in males.

## Abstract

Metabolic syndrome (MetS), characterized by central obesity, insulin resistance, dyslipidemia, and hypertension, affects 20-25% of the global population. The creatinine-to-cystatin C ratio (CCR) is an indicator of skeletal muscle mass. While CCR may play a role in MetS development, sex differences in these associations are not fully understood. Therefore, this study aimed to investigate how CCR levels are associated with MetS in a Chinese adult population, focusing on possible sex disparities.

We conducted a retrospective cross-sectional analysis of 9,376 adults from Xiamen Chang Gung Hospital between 2014 to 2016. We examined the relationship between CCR and MetS, adjusting for cardiometabolic risk factors.

The prevalence of MetS was 24.7% in males and 18.0% in females. Interestingly, we observed significant sex differences in the association between CCR quartiles and MetS. Females in the lowest CCR quartile had a significantly higher risk of MetS (odds ratio=1.84). Receiver operating characteristic curve analysis revealed acceptable diagnostic power of CCR for MetS in females (area under the curve=0.65) but not in males.

Our findings suggest that CCR is an independent risk factor for MetS in females, highlighting the importance of sex-specific assessments when evaluating MetS risk.

## Linked entities

- **Diseases:** metabolic syndrome (MONDO:0000816)

## Full-text entities

- **Diseases:** hypertension (MESH:D006973), MetS (MESH:D024821), obesity (MESH:D009765), dyslipidemia (MESH:D050171), insulin resistance (MESH:D007333)

## Full text

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## Figures

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## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC11349525/full.md

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Source: https://tomesphere.com/paper/PMC11349525