ABSTRACT
BACKGROUND: Obesity has long been regarded as a risk factor for abnormal liver function, although the quantitative relationship between them is not clear. This study aimed to investigate the relationship between body mass index (BMI) and gamma-glutamyl transpeptidase (GGT) in different gender populations. METHODS: The cross-sectional study included 221,934 people aged over 18 years and under 90 years who underwent physical examinations at Yijishan Hospital in Wuhu City from 2011 to 2016. t-test and Chi-square test were used to compare the differences in demographic characteristics and biochemical indexes between men and women. Linear regression model and smooth curve method were used to investigate the relationship between BMI and GGT. RESULTS: The smooth curve shows a checkmark association between GGT and BMI. After adjusting for confounders, the cut-off BMI for the whole population was 19.5 kg/m2. When BMI was less than 19.5 kg/m2, GGT levels decreased with increasing BMI, and when BMI was greater than 19.5 kg/m2, GGT levels increased with increasing BMI. After gender stratification, there was a checkmark association between male and female GGT levels and BMI, but the trend of male GGT levels changing with BMI was more obvious than that of females. CONCLUSIONS: Our investigation demonstrated that the GGT level in obese Chinese people is significantly higher than that in non-obese people living in Wuhu City. BMI level can be considered as an early warning index for diseases related to liver function injury in the clinic, although the influence of gender difference should be specifically considered.
ABSTRACT
BACKGROUND: While dyslipidemia has been recognized as a potential risk factor for hyperuricemia, there is currently a dearth of large-scale data specifically focused on studying the relationship between these two conditions. To address this gap, the present study analyzed a dataset of 298,891 physical examination records to investigate in greater detail the clinical classification and compositional relationship between hyperuricemia and dyslipidemia. METHODS: For this investigation, a cross-sectional research design was utilized to analyze physical examination data that was gathered from Yijishan Hospital in Wuhu, China between 2011 and 2016. Logistic regression was employed to examine the association between hyperuricemia and dyslipidemia. Furthermore, the association between hyperuricemia and dyslipidemia was evaluated based on the clinical classifications of dyslipidemia and its components. RESULTS: A total of 298,891 participants from China (124,886 [41.8%] females) were included in the study, with an age range of 18 to 90 years (mean [SD]: 47.76 [13.54] years). In multivariate analysis, the odds of hyperuricemia was 1.878 times higher in patients with dyslipidemia compared to those without dyslipidemia (95% confidence interval [CI]: 1.835-1.922). In the clinical classification of dyslipidemia, individuals with hypertriglyceridemia and mixed hyperlipidemia had 1.753 times (95% CI: 1.706-1.802) and 1.925 times (95% CI: 1.870-1.982) higher odds of hyperuricemia, respectively, compared to those without dyslipidemia. Among the components of dyslipidemia, the odds ratios for hyperuricemia in individuals in the fourth quartile compared to those in the first quartile were 3.744 (95% CI: 3.636-3.918) for triglycerides, 1.518 (95% CI: 1.471-1.565) for total cholesterol, and 1.775 (95% CI: 1.718 - 1.833) for non-high-density lipoprotein cholesterol. CONCLUSIONS: Dyslipidemia has been independently linked with hyperuricemia. Moreover, the elevation of triglycerides or total cholesterol levels, including conditions such as hypertriglyceridemia and mixed hyperlipidemia, have been observed to have a positive association with the development of hyperuricemia.