DOI: 10.5061/dryad.z08kprrk1
title: Associations of serum uric acid with cardiovascular disease risk factors: a retrospective cohort study in Southeastern China

description: Objective: To evaluate the associations between serum uric acid (SUA)
 levels and cardiovascular disease (CVDs) risk factors, focusing on
 potential sex-specific differences. Design: A retrospective cohort study.
 Setting: A large community-based survey was conducted every two years from
 2010 to 2018 in Hangzhou, Zhejiang Province, Southeastern China.
 Participants: 6119 participants aged 40 years and above who underwent at
 least three times of physical examinations were enrolled. Methods:
 Participants were categorized into four groups (Q1-Q4) based on baseline
 SUA quartiles within the normal range, with hyperuricemia (HUA) as the
 fifth group. The Q1 was the reference. By stratifying participants by
 gender, the relationships between SUA levels and systolic blood pressure
 (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), and
 total cholesterol (TC) were investigated using linear regression models in
 the generalized estimating equation (GEE). Additionally, the associations
 of elevated SUA levels and HUA with hypertension, hyperglycemia, and
 dyslipidemia were correspondingly examined using multivariate logistic
 regression models. Results: After adjusting for confounding variables, we
 found positive associations between SUA levels and SBP, DBP, FBG, and TC
 in women, and with TC in men (P &lt; 0.01). Likewise, Elevated SUA
 quartiles and HUA were linked to increased dyslipidemia risk in both
 sexes, and increased hyperglycemia risk only in women, with HRs (95%CI) of
 1.64 (1.05-2.55) and 2.37 (1.47-3.81) in the Q4 and HUA group,
 respectively. Women with HUA had higher hypertension risk (HR=1.45, 95% CI
 1.21-1.73), while no such association was observed in men. Stratified
 analyses revealed significant associations between elevated SUA levels and
 CVDs risk factors in postmenopausal and non-obese women. Conclusions:
 Elevated SUA levels increase the risk of dyslipidemia in both sexes. SUA
 levels within normal-range and HUA are positively associated with
 hyperglycemia and hypertension in postmenopausal women, but not in men.
description: Each participant was required
 to complete an in-person interview by a trained nurse using a standardized
 questionnaire, which included information related to demographic
 characteristics (age and sex) and the medical history (disease and drug
 history of hypertension, diabetes, dyslipidemia). Values of weight and
 height were measured using a calibrated scale and a stadiometer. BP was
 measured using a calibrated mercury sphygmomanometer. Two consecutive
 measurements were taken and recorded, with a 2-minute break across the two
 measurements.  The final value was calculated as the average of the two
 readings. Prior to venous
 blood sample collection, all participants were required to fast for at
 least eight hours. Serum creatinine, SUA, FBG, and TC for each participant
 were measured using standard clinical laboratory methods. The normality of continuous variables’
 distribution was assessed using the Shapiro-Wilk tests. Continuous
 variables with normal distribution are presented as the mean ± standard
 deviation, and those with non-normal distribution are presented as the
 median (interquartile range). Categorical variables are expressed as
 numbers (percentages). The group differences for continuous variables were
 compared using Analysis of Variance (ANOVA) and the Kruskal-Wallis test.
 The Chi-square test was used for categorical variables. Linear models of
 generalized estimating equations (GEE) were used to calculate the hazard
 ratios of SUA levels on SBP, DBP, FBG, and TC. Multivariate logistic
 regression models were used to evaluate the risk of hypertension,
 hyperglycemia, and dyslipidemia for different SUA levels or
 HUA. 
description: # Associations of serum uric acid with cardiovascular disease risk
 factors: a retrospective cohort study in Southeastern China This dataset
 provides information on serum uric acid levels and cardiovascular disease
 risk factors, as well as basic demographic information. ## Description of
 the data and file structure The dataset is structured in a tabular format
 with the following columns: * ID: Unique identifier for each participant *
 Age: Age of the participant in years * Sex: Gender of the participant
 (1.Male /2.Female) * BMI: Body Mass Index of the participant * SBP/DBP:
 Blood pressure readings of the participant (Systolic/Diastolic) * FBG:
 Fasting blood glucose of participants of the participant * TC: Cholesterol
 level of the participant * Cr: Serum creatinine of the participants * GFR:
 Glomerular filtration rate of participants * UA: Measurement of serum uric
 acid level in the participant's blood * Times: Number of medical
 follow-up visits for participants -hypertension:Participants with or
 without hypertension(1.No/2.Yes) -hyperglycemia:Participants with or
 without hyperglycemia(1.No/2.Yes) -dyslipidemia:Participants with or
 without dyslipidemia(1.No/2.Yes) Potential consumers can utilize this
 dataset to study the relationship between serum uric acid levels and
 various cardiovascular disease risk factors. They can analyze the impact
 of serum uric acid on hypertension, hyperglycemia, and dyslipidemia. The
 dataset can be used for research, statistical analysis, and generating
 insights into the association between serum uric acid and cardiovascular
 disease. The dataset does not contain any missing data. All columns have
 complete information for all participants. Data for this dataset were
 derived from a large community-based survey conducted every two years from
 2010 to 2018 on cardiovascular disease risk factors, involving the
 measurement of demographic information in participants.