Among Chinese adults with elevated blood pressure, several BP parameters were associated with incident diabetes, with SBP demonstrating the highest predictive performance, suggesting that BP parameters may provide simple supplementary information for diabetes risk stratification in this high-risk population.
Key Findings
Methods
In a cohort of 29,377 Chinese adults with elevated blood pressure, 5.28% developed incident diabetes over a median follow-up of approximately 3 years.
The study was a retrospective cohort design using a large Chinese health examination database.
1,550 participants developed diabetes out of 29,377 adults with elevated BP.
Median follow-up duration was 2.98 years.
Cox proportional hazards models were used to estimate hazard ratios after multivariable adjustment.
Results
Systolic blood pressure (SBP) was significantly associated with incident diabetes after multivariable adjustment.
HR: 1.09 (95% CI 1.05–1.13) per unit increase in SBP.
SBP demonstrated the highest predictive performance among all BP parameters evaluated.
A significant non-linear dose-response relationship was observed for SBP via restricted cubic spline analysis.
SBP was identified as the strongest predictor among the six BP parameters compared.
Results
Diastolic blood pressure (DBP) showed a significant non-linear relationship with incident diabetes, though its linear association was not statistically significant after multivariable adjustment.
Restricted cubic spline analyses revealed a significant non-linear relationship for DBP.
DBP was not listed among the parameters with statistically significant HRs in the abstract.
Non-linear analyses were applied using restricted cubic spline methods to evaluate dose-response relationships.
Results
Mean arterial pressure (MAP) was significantly associated with incident diabetes.
HR: 1.07 (95% CI 1.02–1.13) per unit increase in MAP.
A significant non-linear dose-response relationship was also observed for MAP.
MAP was one of five BP parameters significantly associated with diabetes risk after multivariable adjustment.
Results
Pulse pressure (PP) was significantly associated with incident diabetes after multivariable adjustment.
HR: 1.06 (95% CI 1.03–1.10) per unit increase in PP.
PP did not show a significant non-linear relationship (not listed among those with non-linear associations).
PP was one of five BP parameters significantly associated with diabetes risk.
Results
Pulse pressure index (PPI) showed the largest hazard ratio magnitude among all BP parameters for incident diabetes.
HR: 2.47 (95% CI 1.36–4.46) after multivariable adjustment.
PPI had the widest confidence interval of the significant parameters, suggesting greater statistical uncertainty.
PPI was not listed among the parameters demonstrating significant non-linear relationships.
Results
The SBP/DBP ratio was significantly associated with incident diabetes and demonstrated a significant non-linear dose-response relationship.
HR: 1.38 (95% CI 1.13–1.70) after multivariable adjustment.
Restricted cubic spline analyses revealed a significant non-linear relationship for the SBP/DBP ratio.
The SBP/DBP ratio was one of four BP parameters demonstrating significant non-linear associations alongside SBP, DBP, and MAP.
Results
Non-linear dose-response relationships with incident diabetes were identified for four of the six BP parameters examined.
Significant non-linear relationships were found for SBP, DBP, MAP, and the SBP/DBP ratio.
Restricted cubic spline analyses were the method used to evaluate non-linearity.
PP and PPI did not demonstrate significant non-linear relationships based on the reported findings.
What This Means
This research suggests that multiple ways of measuring blood pressure can help predict who among people with already-elevated blood pressure is at risk of developing diabetes. The study followed nearly 30,000 adults in China for about three years and found that about 1 in 19 developed diabetes during that time. Several blood pressure measurements — including systolic (the top number), mean arterial pressure, pulse pressure, pulse pressure index, and the ratio of systolic to diastolic pressure — were all linked to higher diabetes risk, even after accounting for other factors that could influence the results.
Importantly, the relationship between blood pressure and diabetes risk was not always straightforward. For systolic blood pressure, diastolic blood pressure, mean arterial pressure, and the systolic-to-diastolic ratio, the risk did not increase in a simple straight line — meaning there were threshold effects or inflection points in the dose-response curves. Among all the blood pressure measures tested, systolic blood pressure (the top number most commonly reported) performed best at predicting who would go on to develop diabetes.
This research suggests that routine blood pressure readings, which are already collected during standard health check-ups, could serve as a simple, low-cost tool to help identify people at higher risk of developing diabetes — particularly among those who already have elevated blood pressure. The authors note these findings support using blood pressure parameters as supplementary information for diabetes risk stratification in this high-risk population, potentially helping clinicians prioritize preventive interventions without requiring additional testing.
Wu Q, Gao Y, Yu A, Huang Z, Li X. (2026). Multiple blood pressure parameters and risk of incident diabetes in adults with elevated blood pressure: a cohort study with non-linear analyses.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1887291