Correlation between metabolic unhealth and prostate cancer -an inverse probability weighting study.

BACKGROUND: Current research indicates that prostate cancer (PCa) is one of the most common cancers in men, and its occurrence may be linked to metabolic unhealth. Therefore, we conducted a study on the correlation between metabolic unhealth and PCa. OBJECTIVE: To study the correlation between metabolic unhealth and the incidence of PCa. METHODS: A total of 607 patients underwent prostate biopsy in the urology department of a certain tertiary hospital in Urumqi, Xinjiang from May 2018 to September 2022. Age was used as a matching variable inverse probability weighted to reduce the influence of confounding factors. Logistic regression models were used to analyze the association between metabolic unhealthiness and the risk of prostate cancer. RESULTS: (1) Logistic regression analysis showed that the risk of prostate cancer in metabolically unhealthy people was 1.684 times higher than that in metabolically healthy people (OR=1.684,95%CI:1.224-2.317,P=0.001); (2) In sensitivity analysis, multifactor Poisson regression showed that metabolically unhealthy people had higher risk of the disease (RR=1.145, 95%CI:1.015-1.292, P =0.028). Subsequently, excluding those with diabetes, sensitivity analysis using inverse probability-weighted logistic regression with age as a matching variable showed that those with unhealthy metabolism had a higher risk of prostate cancer (OR=1.464,95% CI:1.046-2.050, P =0.026). CONCLUSION: Metabolic unhealth, obesity, are risk factors for PCa, which have certain diagnostic and therapeutic value for the risk of PCa. Reducing body weight and managing blood pressure, blood sugar, blood lipids, and high-density lipoprotein through reasonable diet can effectively prevent and control PCa.