Today : Mar 16, 2025
Science
16 March 2025

Study Links Body Fat Percentage To Increased Prediabetes Risk

New research identifies key thresholds for body fat percentage impacting prediabetes risk among Chinese adults.

A recent study has revealed alarming insights about the influence of percent body fat (PBF) on the risk of developing prediabetes among Chinese adults. Conducted by Xin Li and colleagues, the study analyzed data from 185,586 participants, providing valuable evidence to inform public health strategies aimed at tackling this growing epidemic.

Prediabetes, characterized by elevated blood glucose levels, is increasingly prevalent, affecting approximately 388 million adults in China alone, according to estimates. The study highlights the urgent need to address this health issue, projecting the number of individuals with prediabetes worldwide to surge to 548 million by 2045.

The researchers employed Cox proportional hazards regression models and advanced statistical techniques to establish the relationship between PBF and prediabetes risk. They discovered a notable positive correlation indicating each 10-unit increase in PBF was associated with a 13% increased risk of prediabetes (HR = 1.13, 95% CI: 1.12–1.15, p < 0.0001).

More intriguingly, the findings revealed a complex, non-linear correlation between PBF and the likelihood of prediabetes, marked by a turning point at 29.5 percent. For individuals with PBF below this threshold, the hazard ratio was only 1.01 (95% CI: 0.99–1.03, p = 0.4128), indicating little to no meaningful increase in risk. Conversely, for those whose PBF exceeded 29.5, the risk spiked to 1.52 (95% CI: 1.45–1.59, p < 0.0001).

This turning point suggests significant clinical implications; maintaining PBF below 29.5 could serve as a protective measure against the development of prediabetes. Notably, the study's average follow-up period was 3.15 years, during which 11.22% of participants were diagnosed with prediabetes.

Statistical analysis revealed not only the cumulative effects of PBF but also indicated the importance of demographic factors. The study reported varying degrees of impact based on participant age and gender, with PBF proving particularly influential among older adults and women.

These results align with prior research indicating prediabetes increases the risk of various complications, including cardiovascular diseases and metabolic syndrome. The meta-analysis involving 53 studies pointed to prediabetes as a significant predictor for future health issues, delineated by not just immediate health repercussions but long-term mortality risks.

The researchers leveraged data derived from the publicly accessible DATADRYAD database and provided comprehensive analyses, accounting for potential confounders such as age, gender, blood pressure, and lifestyle factors. This thorough approach strengthens the study's findings, asserting the pressing need to monitor body composition and introduce targeted interventions to mitigate prediabetes risk.

Despite the strong correlations identified, the authors prudently acknowledged study limitations, including the exploratory nature of the research and potential uncontrolled confounding variables. A primary consideration is the singular focus on self-reported fasting plasma glucose levels to define prediabetes, potentially overlooking other diagnostic criteria.

Overall, this study reveals the significant and complex relationship between PBF and prediabetes, underscoring the necessity for timely public health interventions. By improving awareness and proactive measures relative to body composition, stakeholders may curb the burgeoning prediabetes crisis, especially among high-risk populations. The findings were published on March 15, 2025, and add substantial knowledge to the field of diabetes research and prevention strategies.