Objective To investigate the relationship between hyperlipidemia and hyperuricemia.Methods From February 1,2012 to May 31,2017,a physical examination queue for serving and retired employees in Xiangya Hospital was established.As the survey's baseline,height,weight,waist circumference,blood lipids,blood pressure,blood glucose,creatinine,and serum uric acid were collected.The normal group was the control group,and the dyslipidemia group was the exposure group.The occurrence of hyperuricemia was investigated during follow-up.A multivariate Cox proportional hazards regression model was used to analyze hyperlipidemia.Four different clinical types (hypercholesterolemia,hypertriglyceridemia,mixed hyperlipidemia,and low high-density lipoprotein hyperlipidemia) and hyperuricemia had an incidence of hazard ratio (HR) and confidence interval (95％CI).Results A total of 1 553 people entered the follow-up cohort.A total of 5 297 patients were followed up for an average of 3.4 years.Three hundred and ninety-four cases of hyperuricemia were collected.The density of hyperuricemia was 744/10 000 years.The hyperuricemia group was followed up for 2 509 years,with hyperuricemia occurring in 142 cases,and hyperuricemia in the hyperlipidemia group of 566/million years.The hypercholesterolemia,high triglyceride,mixed hyperlipidemia,and low-density lipoprotein groups were followed up for 1 431,403,580,92 years,respectively,and high uric acid occurred respectively.In 105,64,72 and 11 cases,the incidence of disease was 734/million years,1 588/million years,1 241/million years,1 196/million years;the difference was statistically significant (P＜ 0.01).Hyperlipidemia and its four clinical types,hypercholesterolemia,hypertriglyceridemia,mixed hyperlipidemia,and hypodic lipoproteinemia,were associated with hyperuricemia.HR (95％CI) was 1.971 (1.604-2.421),1.441 (1.120-1.855),3.103 (2.309-4.169),2.434 (1.833-3.233),2.336,respectively.(1.265-4.316),P＜ 0.01;after adjusting the influence of age,sex,body mass index,hypertension,hyperglycemia,and hyper creatinine,HR (95％CI) was 1.885 (1.533-2.317),1.450 (1.127-1.866),2.881 (2.141-3.876),2.118 (1.588-2.825),2.451 (1.326-4.528) P＜0.01.Conclusions Hyperlipidemia and its four different clinical types (hypercholesterolemia,hypertriglyceridemia,mixed hyperlipidemia,and low-density lipoproteinemia) are all associated with the onset of hyperuricemia.

Objective:To investigate the correlation between serum uric acid level and hyperglycemia.Methods:A medical examination cohort of the staff of our hospital was constructed. From February 1 st, 2011, to December 31 st, 2011, 3 937 staff members without hyperglycemia were selected, and baseline data were collected through a questionnaire survey, physical examination, measurement of blood lipid and blood glucose, assessment of kidney function, and other laboratory tests. The subjects were followed up during the annual physical examination for 7 years, from January 1 st, 2012, to December 31 st, 2018. They were divided into four groups according to serum uric acid level: uric acid<360 μmol/L, 360≤uric acid<420 μmol/L, 420≤uric acid<480 μmol/L, and uric acid≥ 480 μmol/L. With the occurrence of hyperglycemia as the outcome indicator; uric acid level as the observation index; uric acid<360 μmol/L as the control group; and gender, age, body mass index, smoking, hypertension, dyslipidemia as confounding factors, Cox regression was performed before and after adjusting confounding factors to analyze the relationship between different uric acid levels and the incidence of hyperglycemia in the entire sample, in the male staff, and in the female staff. Results:The 7-year cumulative incidence of hyperglycemia in the four groups were 15.7%, 34.0%, 38.8%, and 43.8%, respectively ( Z=148.94, P<0.01). In the male staff, the 7-year cumulative incidence rates in the four groups were 23.4%, 29.9%, 34.7%, and 35.8%, respectively ( Z=11.17, P<0.01). In the female staff, the 7-year cumulative incidence rates in the four groups were 14.2%, 42.5%, 52.2%, and 65.0%, respectively ( Z=141.84, P<0.01. After adjusting for gender, age, body mass index, smoking, hypertension, and dyslipidemia, the risk of hyperglycemia in the 360≤uric acid<420 μmol/L, 420≤uric acid<480 μmol/L, and uric acid≥ 480 μmol/L groups were 1.73 (1.39-2.15), 1.86 (1.42-2.45), and 1.95 (1.34-2.85) times higher than that in the control group (all P<0.05). Among female staff, the risk of hyperglycemia in the 360≤uric acid<420 μmol/L, 420≤uric acid<480 μmol/L, and uric acid≥ 480 μmol/L groups were 2.18 (1.62-2.94), 3.41 (2.24-5.20), and 3.02 (1.69-5.40) times, respectively, and were also higher than those in the control group (all P<0.01). Conclusion:With the increase of serum uric acid level, the risk of hyperglycemia in medical staff increases, which is mainly manifested in female staff.

Objective:To investigate the correlation between serum uric acid level and non-alcoholic liver disease (NAFLD).Methods:A medical examination cohort of our hospital′s staff was constructed. From February 1, 2012 to January 29, 2013, a total of 3, 479 staff without NAFLD were selected as research subjects, and baseline data were collected through a questionnaire survey, physical examination, abdominal ultrasound examination, blood lipid, blood glucose, liver and kidney function, and other laboratory tests. From February 1, 2013 to December 31, 2018, the patients were followed up during the annual physical examination for six years. The serum uric acid level was used as the observation index and divided into four groups from A to D according to the quartile. With the occurrence of NAFLD as the outcome indicator; the four groups of uric acid as the observation indicator; and age, body mass index, hyperlipidemia, hyperglycemia, hypertension, creatinine, and alanine aminotrans ferase as confounding factors; four Cox regression analysis models were constructed to explore the relationship between groups of different blood uric acid levels and NAFLD. Stratified by gender, three Cox regression analysis models were constructed to investigate the relationship between blood uric acid level grouping and NAFLD between different genders.Results:The six-year cumulative incidence of NAFLD in groups A, B, C, and D was 1.2%, 3.1%, 4.9%, and 12%, respectively (χ 2=114.710, P<0.05). Among the female workers, the six-year cumulative incidence rates in groups A, B, C, and D were 1.0%, 2.9%, 4.1% and 10.9%, respectively (χ 2=71.241, P<0.05). The incidence risk of NAFLD in groups B, C, and D was 2.04 (1.01-4.11), 2.24 (1.13-4.44), and 3.89 (1.94-7.80) times that of group A, P<0.05, respectively. The incidence risk of NAFLD in groups B, C, and D was 2.21 (1.02-4.77), 2.39 (1.10-5.19), and 4.49 (1.99-10.15) times that of group A, all P<0.05, respectively. Conclusion:The risk of NAFLD increased with the increase of serum uric acid level, and this trend was mainly manifested in female employees.

Objective:To investigate the correlation between sleep quality and risk of female complicated vulvovaginal candidiasis (VVC).Methods:From January 2021 to June 2021, patients in the gynecological clinic of Xiangya Hospital of Central South University were continuously enrolled as the research objects using a cross-sectional survey. A self-made questionnaire was used to collect the age, marital status, education level, family monthly income, place of residence in the past two years, maternity history, number of births, intrauterine device, number of abortions, frequency of sex life, use of contraceptives within two months, use of antibacterial drugs within two weeks. Generalized Anxiety Disorder Scale, Patient Health Questionnaire, Health Questionnaire Somatic Symptom Group Scale, Pittsburgh Sleep Quality Index were used to collect patients′ anxiety, depression, somatization symptoms, and sleep quality conditions. The total scores of sleep quality and the scores of each dimension were used as observation indicators. Three logistic regression analysis models were constructed to explore the relationship between sleep quality and complicated VVC groups.Results:Patients in the complex VVC group were significantly higher in age, married, middle school education, rural area of residence in the last two years, birth history, number of births ≥3, sexual frequency≥1/week, and no antibiotic use within two weeks compared to those in the control group (all P<0.05). Without adjusting for confounding factors, women with poor subjective sleep quality had a 6.73-fold increased risk ( OR=7.73, 95% CI: 3.22-18.55) of complex VVC compared with those with good subjective sleep quality. After adjusting for confounding factors, the risk was further increased to 9.08 fold ( OR=10.08, 95% CI: 3.47-29.33)(all P<0.05). Compared with women without sleep disorders, women with mild sleep disorders had a 97% increased risk of complex VVC ( OR=1.97, 95% CI: 1.15-3.37). After adjusting for confounders, the risk remained 97% higher ( OR=1.97, 95% CI: 1.10-3.55)(all P<0.05). Conclusion:Poor subjective sleep quality and mild sleep disorder may be associated with the risk of complex VVC.

Objective:To investigate the correlation between hyperuricemia and hypertension in hospital employees.Methods:A cohort was constructed from staff participating health checkups at the Xiangya Hospital of Central South University, baseline health examinations and questionnaires were conducted from February 1, 2011, to January 29, 2012; 502 participants were excluded according to the nadir criteria, and 3 525 participants were followed-up from February 1, 2012, to December 31, 2018, according to the results of annual employee checkups. The participants were divided into the normal uric acid (3 232 cases) and hyperuricemia groups (293 cases) according to the baseline examination results. The presence of hyperuricemia was used as an observation index and occurrence of hypertension within 7 years was used as an outcome indicator. Age, sex, body mass index, creatinine, LDL cholesterol, triacylglycerol, HDL cholesterol, fasting glucose, marriage, education, job position, smoking, alcohol consumption, and exercise status were used as confounding factors to construct five Cox regression models and calculate their HR values, adjusted HR values, and 95% CI to analyze the relationship between hyperuricemia and the occurrence of hypertension in the overall population and female and male populations. Results:The follow-up of the study participants was conducted for a period of (6.19±1.25) years, with a total of 21 831 person-years of follow-up. The 7-year cumulative prevalence of hypertension was 16.5% in the total population, 12.5% in the female population, 30.1% in the male population, 14.1% in the normal uric acid group, and 42.0% in the hyperuricemia group. The prevalence density of hypertension was 26.6, 19.6, 53.8, and 22.4 per 1 000 person-years in the total, female, male, and normouricemic groups, respectively. Without adjusting for any confounding variables, the risk of hypertension was higher in the total population, female population, and male population in the hyperuricemia group than in the normal uric acid group [ HR=3.86, 5.69, 1.60, (95% CI: 3.17-4.72, 4.36-7.43, 1.18-2.16)] (all P<0.05); after gradually adjusting for confounders, this correlation was only manifested in the female population [adjusted HR=1.91 (95% CI: 1.08-3.36)] (all P<0.05), and the difference was not statistically significant in the male population ( P>0.05). Conclusion:Among female hospital employees, hyperuricemia is an independent risk factor for the development of hypertension.

Objective:To investigate the relationship between waist circumference and hyperuricemia in occupational population in Changsha city.Methods:Based on a retrospective cohort design, a total of 1 197 employees from 70 organizations who received 4 or more years of continuous physical examinations in Xiangya hospital from January 1, 2014 to December 31, 2018 were included in this study. The physical examination data of the year 2014 were set as baseline data, while the data between January 1, 2015 and December 31, 2018 were used as follow-up data. According to interquartile range of the waist circumference, the subjects was divided into four groups: the first quartile ( Q1),<77 cm for men and <68 cm for women; the second quartile ( Q2), 77 cm ≤ and<82 cm for men, 68 cm ≤ and <73 cm for women; the third quartile ( Q3), 82 cm ≤ and <87 cm for men, 73 cm ≤and <78 cm for women; the fourth quartile ( Q4), ≥87 cm for men, ≥78 cm for women. Among them, Q1 was set as the control group, and Q2, Q3 and Q4 as the exposed groups. Three models were established for the total population, men and women, respectively. The confounding factors were not adjusted in model Ⅰ. The model Ⅱ was adjusted for age, gender and body mass index (the male or female population were not adjusted for sex). Confounders including age, gender, body mass index, hypertension, fasting glucose, blood creatinine, triacylglycerol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol were adjusted for model Ⅲ. Cox regression analysis was used to compare the hazard ratio ( HR), adjusted hazardratio (a HR) and their 95% CIs for the development of hyperuricemia in the subjects with different waist circumference over the 4 years. Results:Total of 1 197 subjects were followed-up for (2.05±1.18) years and 2 448 person-years. A total of 208 cases of hyperuricemia were identified in the total population during the 4 years (45 women/163 men), with a cumulative incidence of 17.4% (6.4% in women/33.3% in men) and an incidence density of 84.9/1 000 person-years (31.8/1 000 person-years in women, 157.6/1 000 person-years in men). And 626, 609, 629, and 584 person-years were followed-up in the 4 groups, respectively; with 15, 30, 59, and 104 cases of hyperuricemia occurred during 4 years, respectively. The cumulative incidence rates of hyperuricemia in the 4 yearswas 5.5%, 9.2%, 20.8% and 32.8%, respectively; and the incidence densities was 24.0/1 000 person-years, 49.3/1 000 person-years, 93.8/1 000 person-years and 178.1/1 000 person-years, respectively. Compared with that in the Q1 group, the risk of hyperuricemia was increased in the Q4 group, with a HR (95% CI) of 2.70 (1.81 to 4.04), P<0.05. After adjusted for confounding factors in the total population, the a HR (95% CI) of hyperuricemia was 2.12 (1.39 to 3.24), P<0.05. This risk remained when stratified by gender and adjusted for confounding factors. Compared with the Q1 group, the a HR (95% CI) of hyperuricemia in the Q4 group was 1.91 (1.18 to 3.09) for the male population and 2.93 (1.14 to 7.56) for the female population, respectively (both P<0.05). Conclusion:Among the occupational population, the risk of hyperuricemia increases with increase of waist circumference.

Objective:To understand the relationship between lipid accumulation product (LAP) and hyperuricemia in physical examination population.Methods:This was a cross-sectional study. The analysis was based on baseline data from a retrospective cohort study. Total of 44 294 people who received physical examination in the Health Management Center of Xiangya Hospital of Central South University from January to December 2012 were selected as subjects with whole-group sampling method. All the subjects aged ≥18 years with complete study variables. The minimum waist circumference of the subjects was calculated to determine the criteria for calculating LAP in those population. With LAP as the observed variable and hyperuricemia as the outcome variable, LAP was divided into four groups according to the interquartile interval (Q 1-Q 4 groups): group Q 1<10.56 cm·mmol/L, 10.56 cm·mmol/L≤Q 2<20.79 cm·mmol/L, 20.79 cm·mmol/L≤Q 3<38.94 cm·mmol/L, Q 4≥38.94 cm·mmol/L. Five models were constructed with logistic regression analysis. No confounding factors was adjusted in Model 1, model 2 was adjusted for age and gender; and model 3 was further adjusted for body mass index, hypertension, hyperlipidemia, creatinine and glomerular filtration rate; model 4 was further adjusted education level, occupation, health insurance, smoking, drinking, diet scores and physical exercise; model 5 was further adjusted the family history of gout, diabetes and hypertension. And the relationship between different LAP levels and hyperuricemia was analyzed. Results:In this study, the minimum waist circumference in the physical examination population was 58 cm and 53 cm for men and women, respectively. The total incidence of hyperuricemia was 13.4% in this population, 5.94% for women and 19.40% for men. When the confounding factors were not adjusted (model 1), the risk of hyperuricemia in women′s LAP Q 2 to Q 4 groups was 1.76 times (95% CI: 1.42-2.17), 5.08 times (95% CI: 4.20-6.14) and 12.58 times (95% CI: 10.43-15.18), and it was 1.68 times (95% CI: 1.43-1.96), 2.74 times (95% CI: 2.36-3.18), and 5.32 times (95% CI: 4.62-6.14) in men, respectively. After gender stratification and adjustment for confounding factors (model 5), the risk still existed, compared with that in Q 1 group of LAP, the risk of hyperuricemia in women in Q 4 group was 8.28 times higher (95% CI: 2.50-27.38) and 3.31 times higher in men (95% CI: 1.57-6.95). Conclusion:The risk of hyperuricemia in health examination population increases with LAP, especially in women.

Objective To explore the relationship between different smoking status and hypothyroidism in six iodine-suitable areas of China. Methods A total of 8187 residents were investigated by cluster sampling in six cities, and 7448 residents were included in the survey. The height, weight, waist circumference, and blood pressure were measured by filling out epidemiological questionnaire. Blood samples were collected to detect thyroid stimulating hormone ( TSH) , thyroid peroxidase antibody ( TPOAb) , and thyroglobulin antibody ( TgAb) . Results The mean TSH, TPOAb, and TgAb positive rates in passive smoking and active smoking groups were all lower than those in non-smoking group ( all P<0.01) . In the active smoking group, the TSH value decreased by 0.023 units for every unit increase in smoking index. The positive rates of TgAb and TPOAb in both passive smoking and active smoking groups were lower than those in non-smoking group (all P<0.01). Active and passive smoking reduced the prevalence of hypothyroidism (both P<0.01). Among women, the risks of clinical hypothyroidism and subclinical hypothyroidism were reduced in both active and passive smoking groups. Besides, the risk of subclinical hypothyroidism decreased significantly when the smoking index was more than 70. In male population, the risk of subclinical hypothyroidism in active and passive smoking group decreased. Besides, the risk of clinical hypothyroidism and subclinical hypothyroidism decreased significantly when the smoking index was more than 70. Conclusion Smoking in iodine-suitable areas may reduce TSH level and the positive rates of TPOAb and TgAb.