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Changes in the prevalence of hyperuricemia in clients of health examination in Eastern China, 2009 to 2019

BMC Endocrine Disorders volume 22, Article number: 202 (2022) Cite this article

Abstract

Background

With the continuous improvement of people's living standards, the incidence of hyperuricemia (HUA) is increasing globally. The prevalence of HUA ranged in terms of region, race, and age. This study aims to investigate the changes in the prevalence of HUA in clients of health examination in Eastern China between 2009 and 2019.

Methods

Chinese men and women aged 20–79 years (n = 4847 in the 2009 group and n = 12,188 in 2019 group) who had received health examinations were enrolled. Serum uric acid (UA) levels and biochemical parameters, including fasting blood-glucose (FBG), triglyceride (TG), total cholesterol (CHOL), high-density lipoprotein (HDL), low-density lipoprotein (LDL), creatinine (Cr) and blood urea nitrogen (BUN) were evaluated. The prevalence of HUA in different age groups were measured, and the correlation of biochemical parameters with HUA were analyzed.

Results

The prevalence of HUA was 18.7% in the 2019 group, which was significantly higher than that in 2009 (11.1%). In females, the prevalence of HUA was significantly higher in 2019 than 2009 for age groups of 20–29 and 30–39 years. In male population, 2019 participants had significantly higher age-specific prevalence for all age groups than 2009 participants. Young men aged 20–29 years became the main population of HUA in the 2019 participants, whereas middle-aged men aged 40–49 years had the highest prevalence of HUA in the 2009 participants. The prevalence rates of HUA in all BMI groups in 2019 participants were significantly higher than those in 2009 participants. Spearmen’s correlation analysis and Logistic regression analysis indicated that BMI was positively correlated with HUA. The receiver-operating characteristic curve (ROC) analysis showed BMI > 24.48 kg/m2 and BMI > 23.84 kg/m2 displayed good capacities to discriminate the population with HUA from those without HUA in 2009 and 2019 participants, respectively.

Conclusions

In recent 10 years, the prevalence of HUA was increased rapidly in Chinese adults, especially in males. In 2019, the young male group (20–29 years old) replaced the middle-aged male group (40–49 years old) in 2009 as the leading age group for male HUA. BMI was positively correlated with HUA, and might be a potential risk factors to predict HUA.

Peer Review reports

Background

Uric acid (2,6,8 trioxypurine-C5H4N4O3, UA) is the final enzymatic product of purine metabolism in the body [1]. It can come from the human body or from the decomposition and metabolism of purines in food. Hyperuricemia (HUA) occurs due to increased UA production, impaired renal UA excretion, or a combination of both [2]. HUA is defined as blood uric acid concentration equals to and greater than 420 μmol/L in males and 360 μmol/L in females [3]. Elevated blood UA levels not only induce gouty arthritis, urolithiasis and UA nephropathy [4,5,6], but are also associated with type 2 diabetes, hypertension, cardiovascular disease (CVD) and chronic kidney disease (CKD) [7,8,9,10].

The prevalence of HUA ranged from 2.6% to 40% in terms of region, race, and research method [11]. The prevalence of HUA in some developed countries, such as USA (21.4%) and Japan (25.8%), is much higher than that of developing countries including Saudi Arabia (8.4%), Thailand (10.6%) and Turkey (12.1%) [12, 13]. Due to the vast territory of China, the prevalence of HUA varies significantly in different geographic regions. Generally, HUA is more common in cities than in rural regions, and higher in southern areas than in northern areas [14]. The prevalence of HUA in some economically developed regions of China, such as Guangdong (19.2%) [15], Beijing (17.9%) [16], and Hainan (25.1%) [17], is similar to that of developed countries [12, 13]. However, in some underdeveloped areas of China, the prevalence of HUA is much lower than those of developed regions in China during the same period [18, 19]. A previous study showed that the combined prevalence of HUA in rural areas was 11.7% in China [3]. A population-based study reported that the prevalence of HUA among the middle-aged and elderly people in Tibet was only 2.05% [20]. Although recent studies have described the prevalence of HUA in China [21,22,23,24], there is still a lack of research on the changing trend of the prevalence of HUA in China over the past 10 years, especially the characteristics of the prevalence of HUA among people of different sexes and ages. The aims of this study were to compare the prevalence of HUA in different age groups in the 2009 participants and 2019 participants, and to analyze the correlations between HUA biochemical parameters and HUA in Chinese adults.

Methods

Study population

Participants were Chinese men and women who had underwent health examinations in Northern Jiangsu People’s Hospital in 2009 and 2019 (n = 4847 in the 2009 group and n = 12,188 in 2019 group). The 2009 participants and the 2019 subjects are two completely different samples. The inclusion criteria were individuals aged 20–79 years and those who consented to participate in this study. The exclusion criteria were those who were under 18 years old and who were underweight (BMI < 18.5 kg/m2). All participants agreed to participate in the study and the study was approved by the Ethical Committee of Northern Jiangsu People’s Hospital.

Data collection

The following data were collected: date of birth, sex, body height (BH, m), body weight (BW, kg), systolic blood pressure (SBP, mmHg), diastolic blood pressure (DBP, mmHg) and blood biochemical tests. BH, BW, and BP were measured according to standardized protocols. All blood tests were performed at the clinical laboratory of Northern Jiangsu Hospital. Fasting venous blood samples were obtained from physical examination participants and serum uric acid levels [UA reference range, 143–339 μmol/L (2.4–5.7 mg/dL)] were measured using an automated biochemical analyzer (Cobas 8000; Roche, Switzerland) [25]. Other blood biochemical parameters, including fasting blood glucose [FBG, 3.9–6.1 mmol/L ( 2.4–5.7 mg/dL)], triglyceride [TG, < 1.7 mmol/L (< 150.5 mg/dL), total cholesterol [CHOL, < 5.17 mmol/L (200 mg/dL)], high-density lipoprotein [HDL, 1.29–1.55 mmol/L (50–60 mg/dL), low-density lipoprotein [LDL, < 3.37 mmol/L (128 mg/dL)], creatinine [Cr, 44–133 μmol/L (0.5–15 mg/dL)], and blood urea nitrogen [BUN, 3.1–8.0 mmol/L (8.4–22.5 mg/dL)], were also determined using the same automatic biochemical analyzer (Cobas 8000; Roche, Switzerland).

Definition and grouping

HUA was defined as serum UA ≥ 420.0 μmol/L (7.06 mg/dL) in males and ≥ 360 μmol/L (6.05 mg/dL) in female subjects [26]. Body mass index (BMI, kg/m2) was calculated using the following formula: BMI (kg/m2) = weight (kg) / height2 (m2). BMI was divided into normal weight (18.5 kg/m2 ≤ BMI < 24.0 kg/m2), overweight (24.0 kg/m2 ≤ BMI < 28.0 kg/m2), and obesity (BMI ≥ 28.0 kg/m2) according to the revised Asia–Pacific BMI criteria published by the World Health Organization (WHO) [27]. All the participants were divided into six age categories: 20–29 years, 30–39 years, 40–49 years, 50–59 years, 60–69 years and 70–79 years old.

Statistical analysis

Statistical package for social sciences (SPSS) 25.0 was used for the statistical analysis in this study. All continuous variables were presented as mean ± standard deviation. Chi-square test was used to compare categorical variables, and independent-Samples T-Test was for continuous variables between two groups. Spearman correlations and binary logistic regression analysis were performed to explore the risk factors of HUA. Receiver-operating characteristic (ROC) curve analysis was used to determine the cut-off value, sensitivity and specificity of the risk factors which can potentially predict HUA. Tests were two-sided and a p-value < 0.05 was considered significant.

Results

Clinical characteristics of participants in the 2009 and 2019

Clinical characteristics of participants in the 2009 and 2019 participants were shown in Table 1. In the 2009 group, 1682 were females and 3165 were males, while 3852 females and 8336 males were included in the 2019 group. The participants in the 2009 were significantly older than those in the 2019 (46.6 ± 13.9 years vs. 45.3 ± 13.3 years, p < 0.01). BMI, levels of DBP, FBG, CHOL and BUN were significantly lower in the 2019 participants than those in the 2009, whereas levels of SBP, TG, HDL, LDL and Cr were significantly higher in 2019 participants than those in the 2009. In addition, serum UA level of participants in the 2019 was significantly higher than that in the 2009 [339.4 ± 85.4 μmol/L vs 314.5 ± 80.8 μmol/L (5.71 ± 1.44 mg/dL vs 5.27 ± 1.36 mg/dL), p < 0.01).

Table 1 Baseline characteristics of participants enrolled in 2009 and 2019
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The prevalence of HUA in all age groups in the 2009 and 2019 participants

In Table 2 and Fig. 1, we presented the prevalence of HUA and serum UA levels in all age groups in the 2009 and 2019 participants. In the 2019 group, the overall prevalence of HUA was 18.7% (95% CI 18.0, 19.4), which was significantly higher than that in the 2009 group (11.1% [95% CI 10.2, 12.0] (p < 0.01). HUA was more common in males than in females both in the 2009group (15.0% [95% CI 13.7, 16.2] vs. 3.8% [95% CI 2.9, 4.7], p < 0.01) and 2019 group (24.8% [95% CI 23.9, 25.7] vs. 5.6% [95% CI 4.8, 6.3] p < 0.01).

Table 2 Prevalence of HUA and UA levels in 2009 and 2019 participants in each age category
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Fig. 1
figure 1

The prevalence of HUA of males and females in different age groups and BMI groups in 2009 and 2019 participants

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In females, the prevalence of HUA in participants aged 20–29 and 30–39 years in the 2019 was relatively higher than that in the 2009 (p < 0.01). There was no difference in the prevalence of HUA in participants aged 40–49, 50–59, 60–69 and 70–79 years between 2009 and 2019 group. In the 2009 and 2019 groups, the prevalence of HUA in elderly females (≥ 60 years old) was significantly higher than that of young women and middle-aged women (20–59 years old), and the prevalence of HUA reached its peak at the age of 70–79.

For males, the prevalence of HUA in all age groups in 2019 participants was significantly higher than that in the 2009 participants (p < 0.01). The prevalence of HUA among young men (20–29 and 30–39 years old) was significantly higher than those of the middle-aged and elderly men in the 2019 participants. The prevalence of HUA in males aged 20–29 years in the 2019 participants (31.9% [95% CI 28.9, 34.9]) was nearly triple that of the same age group in the 2009 participants (10.0% [95% CI 6.3, 13.8]), while the prevalence of males aged 30–39 years in the 2019 participants (29.9% [95% CI 27.9, 32.0]) was more than twice that of the same age group in 2009 (14.2% [95% CI 11.7, 16.7]). In the 2019 participants, young males aged 20–29 years had the highest prevalence of HUA, while the HUA prevalence reached its peak in the middle-aged males (aged 40–49 years) in the 2009 participants.

Serum UA levels in all age groups in the 2009 and 2019 participants

The change trend of serum UA levels of all age categories was similar to the change in the prevalence of HUA in both men and women. Serum UA levels of both males and females in the 2019 group were significantly higher than those in the 2009 group [males: 373 ± 76.2 vs. 349 ± 70.0 μmol/L (6.27 ± 1.28 vs. 5.87 ± 1.18 mg/dL), p < 0.01; females: 267 ± 53.2 vs. 250 ± 55.2 μmol/L (4.49 ± 0.89 vs. 4.20 ± 0.93 mg/dL), p < 0.01]. The overall UA levels in males were dramatically higher than those in females both in the 2009 and 2019 groups [in 2009: 349 ± 70.0 vs. 250 ± 55.2 μmol/L (5.87 ± 1.18 vs. 4.20 ± 0.93 mg/dL), p < 0.01; in 2019: 373 ± 76.2 vs. 267 ± 53.2 μmol/L (6.27 ± 1.28 vs. 4.49 ± 0.89 mg/dL), p < 0.01)]. Serum UA levels of all age groups in males were also obviously higher than those in females both in the 2009 participants and 2019 participants. Serum UA levels in young and middle-age female participants (20–29, 30–39, 40–49 and 50–59 years old) in the 2019 were significantly higher than those in the 2009. However, there was no difference in the UA levels of elderly females (60–69 and 70–79 age group) between the 2019 participants and 2009 participants. In males, UA levels of all age groups in the 2019 participants were significantly higher than those in the 2009 participants (Table 2 and Fig. 1).

The prevalence of HUA in different BMI groups in the 2009 and 2019 participants

All participants were divided into three BMI groups, including normal weight (BMI < 24 kg/m2), overweight (24 kg/m2 ≤ BMI < 28 kg/m2) and obesity (BMI ≥ 28 kg/m2). The prevalence of HUA in different BMI groups in the 2009 and 2019 participants were presented in Table 3 and Fig. 1. In males, the prevalence of HUA in all BMI groups in the 2019 participants were significantly higher than those in the 2009 participants. The prevalence of HUA in obese men was markedly higher than that of males with normal weight and overweight both in the 2009 and 2019 participants. We found that the prevalence of HUA in males in both 2009 and 2019 participants was dramatically increased along with the elevated BMI value. However, this change trend was not significant in females.

Table 3 Prevalence of HUA in 2009 and 2019 participants in BMI category
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The prevalence of HUA in females with normal weight in the 2019 participants was significantly higher than that in the 2009 participants (5.2% [95% CI 4.4, 6.0]), vs. 1.7% [95% CI 1.0, 2.4]), p < 0.01). However, the prevalence of HUA in females with obesity and overweight was obviously lower in the 2019 participants compared with that in the 2009 participants (6.8% [95% CI 5.0, 8.5]) vs. 10.5% [95% CI 7.1, 14.0]) in obese group, p < 0.05; 7.2% [95% CI 3.1, 11.3]) vs. 19.5% [95% CI 6.8, 32.2]) in overweight group, p < 0.05). In addition, the prevalence of HUA of obese and overweight females in the 2009group were higher than that of females with normal weight. There was no significant difference in the prevalence of HUA between obese and overweight females in the 2009 participants. In the 2019 group, there was no significant difference in the prevalence of HUA of females among three BMI groups.

Risk factors for HUA

The relationship of biochemical parameters and HUA using spearman’s correlation analysis was shown in Table 4. BMI, BH, BW, FBG, TG, CHOL, LDL, Cr and BUN were positively associated with serum UA levels and HUA in the overall participants in both 2009 and 2019, while HDL was negatively related to UA levels and HUA. Moreover, there were significant sex differences in both UA levels and HUA prevalence in the two groups of 2009 and 2019. Men had higher levels of UA and were more likely to develop HUA compared to women. In the 2009 group, age was positively correlated with serum UA levels and HUA, whereas in the 2019 group, age was negatively associated with HUA, and was not correlated with serum UA levels.

Table 4 Correlations of UA levels and HUA with related variables in 2009 and 2019 participants
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To further investigate the associations between HUA and BMI, unadjusted and multivariate adjusted logistic regression analyses were performed. BMI was significantly positively associated with HUA in the 2009 participants (OR: 1.212, 95% confidence interval (CI): 1.133–1.296, p < 0.01) and 2019 participants (OR: 1.200, 95% CI: 1.161–1.241, p < 0.01). Those associations also persisted after adjustment for age, sex, BUN, Cr, FBG, TG, CHOL, HDL and LDL (2009 group: OR: 1.136, 95% CI: 1.054–1.224, p < 0.01; 2019 group: OR: 1.102, 95% CI: 1.063–1.43, p < 0.01). ROC curves were conducted to determine the cut-off, sensitivity and specificity of the risk factors which could potentially predict HUA in the 2009 and 2019 groups. The area under curves (AUC) of BMI were presented in Fig. 2. As demonstrated by the ROC curves, BMI > 24.48 kg/m2 displayed good capacities to discriminate HUA from non-HUA in the 2009 participants (AUC = 0.722, p < 0.01, 95% CI 0.628–0.849), while BMI > 23.84 kg/m2 could predict HUA in the 2019 participants (AUC = 0.679, p < 0.01, 95%CI 0.667–0.691).

Fig. 2
figure 2

Receiver-operating characteristic (ROC) curves for the ability of BMI to discriminate the HUA patients from the non-HUA participants in 2009 participants and 2019 participants. The area under the ROC curve (AUC) = 0.722 for BMI in 2009 participants, P < 0.001, 95%CI 0.701-0.743; AUC = 0.679 for BMI in 2019 participants, P < 0.001, 95%CI 0.667-0.691.

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Discussion

Our research is the first study on the changes in prevalence of HUA in Eastern China in recent decade. We found no statistically significant differences in age distribution, sex ratio, weight, BMI, and other major socio-demographic characteristics between the two medical examination populations we studied and other large-scale medical examination populations in our province, indicating that the populations we studied were well represented [28, 29]. In this survey, the prevalence of HUA in the 2009 participants and 2019 participants were 11.1% and 18.7%, respectively. The overall prevalence of HUA in the 2019 group was significantly higher than that in the 2009 group both in males and females. Liu et al. [30] have demonstrated that the prevalence of HUA in the Chinese population has increased rapidly from 2000 to 2014. In the United States, the prevalence of HUA has increased significantly from 18.2% in NHANES 1988–1994 to 21.4% in NHANES 2007–2008 [31]. It was reported that the prevalence of HUA among men in the United States (21.2%) was very close to that of women (21.6%) [31]. This is very different from our findings. We found that the prevalence of HUA among men in the Chinese population was significantly higher than that in women.

In addition, our data indicated the prevalence rates of HUA in both males and females in 2019 were significantly higher than those in 2009 (males: 24.8% vs. 15.0%; females: 5.6% vs. 3.8%). Previous studies have reported similar results in other regions of China [32] and in other countries such as Japan and Bangladesh [33, 34]. There was obvious sex difference in the prevalence of HUA in the 2009 and 2019 participants, and the prevalence of HUA in men was much higher than that in women. The reason may be related to differences in estrogen levels, eating habits and weight gain between men and women. Women, influenced by traditional Chinese culture, tend to take on more housework and may also deliberately control weight to maintain their figures. Men with extensive social networks usually accept a high-fat diets or alcohol. Although the prevalence rates of HUA in females aged 20–39 years old were significantly higher in the 2019 group than 2009 group, there was no significant difference of HUA prevalence in females aged 40–79 years old between 2009 and 2019. The prevalence of HUA in females was gradually increased with age starting from the age of 40 both in 2009 and 2019.

HUA is generally considered to be a common disease in middle-aged men, and males aged 40–49 years old was indeed the main population with HUA in 2009. However, in 2019, the prevalence of HUA in young men was higher than that of middle-aged males. Among them, the prevalence of HUA in young men aged 20–29 years old in the 2019 participants (31.9%) was nearly three times of that in males of the same age group in the 2009 participants (10.0%). Therefore, we suggest that young men are the group with the fastest increase in the prevalence of HUA in recent 10 years. In 2019, young men have replaced middle-aged men as the main population with HUA. This condition may be due to unhealthy lifestyles in young men, including high-fat diet and lack of physical exercise, which are considered to be an important determinant of elevated serum UA levels. The high prevalence of HUA not only induces a high risk of gout [35], but is also associated with increased risks of hypertension, diabetes, CVD and CKD [36,37,38]. The rising prevalence of HUA among young men suggests that the prevalence of gout and other related metabolic disorders is also increasing. Therefore, special attention should be paid to the prevention and treatment of HUA in young males.

In our study, we also found that BMI was significantly associated with HUA in both groups of 2009 and 2019. Obesity has become a global problem and is recognized as a risk factor leading to multiple adverse health consequences [10]. Several studies have demonstrated the relationship between obesity and HUA [34, 39]. A positive correlation between serum UA level and obesity was found in Bangladeshi adults [34]. A Japanese study reported that HUA was significantly associated with central obesity in obese populations rather than in normal-weight men and women [33]. In the Chinese population, obesity was found to be a crucial risk factor for HUA in females [39]. Therefore, our results were consistent with the previous findings. In addition, we found that BMI > 24.48 kg/m2 and BMI > 23.84 kg/m2 could display good capacities to discriminate patients with HUA from non-HUA in the 2009 participants and 2019 participants, respectively. This result further confirmed the association between HUA and obesity. Nevertheless, we should notice that the cut-off of BMI used to predict the HUA has begun to decline in the past decade. This may imply that the people with a lower BMI than before are also likely to suffer from HUA, but the reason for this change is still unclear. It may be related to changes in diet and lifestyles to a certain extent. For example, a recent study showed that the Chinese diet was shifting to high-fat and high-energy-dense foods [40]. The consumption of vegetable oils, animal-derived foods and processed foods that are rich in refined starch, sugar, salt and unhealthy fats continued to increase. The consumption of staple foods has gradually changed from the traditional staple foods of coarse grains to refined cereals [41]. According to the Global Burden of Diseases database, the burden of disease in urban areas of China, which are associated with individual behaviors and habits such as unhealthy diet, drinking, smoking and lack of physical exercise, is steadily increasing [42]. Moreover, previous studies have reported that increased consumption of tea and high-fructose corn syrup could also influence the level of UA [43, 44]. For green tea, a study among Chinese in Singapore has revealed that daily green tea drinkers exhibited a twofold increase in association with HUA compared with nondrinkers [45]. The relationship between black tea and UA was contradictory due to differences in baseline UA levels between studies [43]. It has been reported that high-fructose corn syrup can increase blood UA levels. Previous studies have shown that the metabolism of fructose stimulates UA production, and long-term fructose administration inhibits renal excretion of UA, which in turn leads to increased serum UA levels [44].

Our research also has several limitations. Firstly, all subjects were from a single center, which may limit the extrapolation of our conclusions. Secondly, most of the elderly who participated in this study were in good health, and patients with serious illnesses were unable to participate in our study, which may lead to an underestimation of the prevalence of HUA among the elderly. Thirdly, due to the limited information in our physical examination database, more relevant factors of HUA, such as educational status, drinking history, smoking history, medication and past medical history (eg, gout and HUA comorbidities) were not able to be assessed.

Conclusions

The prevalence rate of HUA in Eastern China has been increasing rapidly in the past 10 years. Young men aged 20–29 years in the 2019 group replaced the middle-aged males (40–49 years old) in the 2009 group, and became the main population of male HUA in the 2019group. BMI was positively correlated with HUA, and BMI displayed a good capacity to discriminate the patients with HUA from non-HUA in both the 2009 participants and 2019 participants.

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

HUA:

Hyperuricemia

UA:

Uric acid

BMI:

Body mass index

BH:

Body height

BW:

Body weight

SBP:

Systolic blood pressure

DBP:

Diastolic blood pressure

FBG:

Fasting blood-glucose

TG:

Triglyceride

CHOL:

Cholesterol

HDL:

High-density lipoprotein

LDL:

Low-density lipoprotein

Cr:

Creatinine

BUN:

Blood urea nitrogen

CI:

Confidence interval

CVD:

Cardiovascular disease

CKD:

Chronic kidney disease

SPSS:

Statistical package for social sciences

ROC:

Receiver-operating characteristic

AUC:

Area under curves

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Acknowledgements

Not applicable.

Funding

This study was sponsored by Psychosomatic Medicine Project of Key Developing Disciplines of Shanghai Municipal Health Commission (2019ZB0202), the National Natural Science Foundation of China (Grant No. 81974105), Novo Nordisk China Diabetes Young Scientific Talent Research Funding, Shanghai Pujiang Program (Grant No. 2019PJD050), Cultivation project for National Natural Science Foundation of Shanghai Tongji Hospital, Jiangsu TCM Science and Technology Development Plan (Grant No. YB2020087), and Doctoral Fund of Northern Jiangsu Hospital (Grant No. BSQDJ0142).

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Author notes

  1. Dunmin She and Yongliang Wang contributed equally to this work.

Authors and Affiliations

  1. Clinical Medical College, Yangzhou University, Yangzhou, 225001, Jiangsu, China

    Dunmin She, Yongliang Wang, Na Luo, Shangyong Feng, Ying Li, Yan Zhu & Zhenwen Zhang

  2. Department of Endocrinology, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225001, Jiangsu, China

    Dunmin She, Na Luo, Shangyong Feng, Ying Li, Yan Zhu & Zhenwen Zhang

  3. Dalian Medical University, Dalian, 116000, Liaoning, China

    Jing Liu

  4. Department of Information Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University, Yangzhou, 225001, Jiangsu, China

    Jin Xu & Shichun Xie

  5. Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China

    Ying Xue

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  1. Dunmin She
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Contributions

Conceived and designed the research, wrote and revised the manuscript: DMS, YZ, YX and ZWZ. Collected the data: DMS, SYF, YLW, JL, YL, JX and SCX. Analyzed the data: DMS, NL and YX. All authors approved the final manuscript as submitted and agreed to be accountable for all aspects of the work.

Corresponding authors

Correspondence to Ying Xue or Zhenwen Zhang.

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All procedures performed in studies involving human participants were in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical approval for the study was obtained from the Ethical Committee of Northern Jiangsu People’s Hospital. Informed consent was obtained from each individual participant included in the study.

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She, D., Wang, Y., Liu, J. et al. Changes in the prevalence of hyperuricemia in clients of health examination in Eastern China, 2009 to 2019. BMC Endocr Disord 22, 202 (2022). https://doi.org/10.1186/s12902-022-01118-z

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Keywords

BMC Endocrine Disorders

ISSN: 1472-6823

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