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BMC Neurology

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Relationship between serum uric acid level and mild cognitive impairment in Chinese community elderly

Contributed equally
BMC NeurologyBMC series – open, inclusive and trusted201717:146

https://doi.org/10.1186/s12883-017-0929-8

Received: 14 June 2017

Accepted: 19 July 2017

Published: 1 August 2017

Abstract

Background

To evaluate the association between SUA levels within a normal to high range and the risk of mild cognitive impairment (MCI) among community elderly.

Methods

The present study was based on 2102 community elderly from a cross-sectional study conducted in a representative urban area of Beijing between 2009 and 2010. The mean age were 71.2 ± 6.6 years old, 59.7% were female. Mini-Mental State Examination (MMSE) was used to assess cognitive function by trained neurology doctors.

Results

The prevalence of hyperuricemia and MCI was 16.7% and 15.9% respectively. With the increase of SUA levels, the prevalence of MCI showed a strong decreasing linear trend. Multiple logistic regression analysis showed ORs for MCI were 1.01(95% CI: 0.69–1.48), 1.50(95% CI: 0.85–2.64), 1.65(95% CI: 1.12–2.43) and 1.53(95% CI: 1.00–2.33), 1.84(95% CI: 1.27–2.90), 1.92(95% CI: 1.02–3.35) for the second, third and highest quarters among men and women respectively (with the lowest quartile as the reference).

Conclusions

Higher SUA levels, when in the normal range, were positively associated with cognitive function among Chinese community elderly, but this association was not robust among participants with hyperuricemia.

Keywords

ChineseElderlyEpidemiologyMild cognitive impairmentUric acid

Background

With the acceleration in the population aging, dementia has become one of the most important health problems over the world [1]. Studies have estimated that the total number of population affected by dementia is about 46.8 million globally, and the number keeps increasing [2, 3]. According to WHO’ report, the patients affected by dementia will double every 20 years, and most of them live in developing countries [4]. In China, dementia is also a serious problem along with the large elder population. It was estimated people with dementia in China increased from 3.68 million in 1990 to 9.19 million in 2010 [5]. On the other hand, the disease burden of dementia is huge. It will not only cause disability, reduce life quality of patients, and also causes burdens to caregivers and take up health and social care resources [68]. Hence, it’s of critical importance to carry out early prevention and control of dementia.

Several studies have focused on serum uric acid (SUA) level and cognitive function [915]. Like the old saying, gout unlike any other disease, kills more wise men than simple, which means that gout patients have higher SUA levels and also higher intelligence quotient (including cognitive function) [16].Although a number of studies have revealed the relationship, the conclusion remains controversial. Some studies found that higher SUA level was beneficial to cognitive function and prevent cognitive impairment [12, 13]. But other studies also came to the opposite conclusion; SUA was a risk factor for cognitive function, like for cardiovascular disease [10]. Also, most studies only included the normal SUA levels, but missed the very high SUA level [1719]. Thus, SUA levels within a normal range have not been fully studied with cognitive function. Therefore, we examined the association of SUA level in the normal range and also in the hyperuricemia range for related risk of MCI in an urban community elderly population of Beijing, China.

Methods

Study population

The sampling methods were reported in our previous study [20]. In brief, this was a population-based cross-sectional survey conducted in a metropolitan area representative of urban community in Beijing, China. A two-stage stratified clustering sampling method was used. First, 9 residents were randomly selected from the total 94 residents in Wanshoulu district. Second, all the individuals aged ≥60 years that had lived in the selected residence for more than 1 year were recruited. A total of 2162 residents aged 60–95 years were selected and invited for screening. Besides the 60 elderly with incomplete data, the left 2102 residents (848 men, 1254 women) completed the survey, and the participants accounted for about 10% of total elderly in Wanshoulu community.

All the nurses and doctors who took part in the field survey had strict training. Face-face interview was carried out, all the detail health condition of the participants were asked using a standardized questionnaire, including demographic factors, medical history, family history, and lifestyles. Physical examinations was carried out by specially trained nurses, including height, weight, waist circumstance (WC). We also calculated body mass index (BMI). Two blood pressures were measured using sphygmomanometer in a sitting position after 30 min’ rest. Fasting blood specimens of all participants were obtained for standard tests of glucose, blood lipids and SUA level.

Definitions

Hyperuricemia was defined positive if SUA level was ≥7.0 mg/dL (417 μmol/L) in men or ≥6.0 mg/dL (357 μmol/L) in women, or positively diagnosed [21]. SUA levels of participants with and without hyperuricemia were categorized into 4 levels using the quartiles (P25, P50 and P75) as cut-off values by gender.

We used the Mini-Mental State Examination (MMSE) to assess cognitive function by trained neurology doctors. The MMSE scale was proved to be feasible among Chinese for dementia screening [22]. MCI was defined according the guideline, which is as follows: (1) for illiteracy participants, MMSE score less than a score of 17; (2) for participants with 1–6 education years, MMSE score less than a score of 20; (3) for participants with more than 7 education years, MMSE score less than a score of 24 [23, 24].

Prevalence of cerebral vascular disease and kidney disease was defined according to previous medical diagnosis by hospitals of second level and above. Current smoking was defined as those who currently smoked at least one cigarette daily; current alcohol drinking was defined as drinking alcohol at least once weekly for the past year. Physical activity was divided into two categories: ≥0.5 h/day or <0.5 h/day.

Statistical analysis

For the basic characteristics, x̄ ± s were used for continuous variables like age, WC, BMI, blood pressure, blood lipid, glycaemia and SUA level. n (%) were used for categorical variables like gender(male or female), education level (less than 6 years, or more than6 years), marriage status (married or unmarried), current smoking (yes or no), current drinking(yes or no), physical activity ≥ 0.5 h/day (yes or no), family history (yes or no). T test and Chi-square test were used to examine differences in continuous and categorical variables. Linear multiple regression and logistic multivariable regression was used to estimate the βand odds ratio (OR) of gender-specific SUA level with cognitive function. All analyses were conducted using SPSS (19.0, No. of Serial: 5,076,595).

Results

Clinical features of participants with and without hyperuricemia

The mean SUA level was 5.3 ± 1.4 mg/dL (range, 1.4–11.3 mg/dL), men had a higher SUA level than women (5.8 ± 1.3 vs 5.2 ± 1.4, p < 0.001). The general characteristics according to gender and hyperuricemia were shown in Table 1. The mean age were 71.2 ± 6.6 years old, 59.7% were female. The education level was high, 72.4% of all the participants had at least gone to junior middle school. Participants with hyperuricemia had older age, greater WC, higher BMI, higher TG, level and lower HDL-C levels. However, there were no significant differences in blood pressure and FPG. In women, besides these differences, we also observed higher levels of 2hPG in participants with hyperuricemia than those without. The percentage of participants who were married, better educated, current smoking and drinking did not differ with hyperuricemia. For MMSE score, participants with hyperuricemia had higher MMSE score in men (27.7 ± 2.6 vs 27.0 ± 3.8, p = 0.014) but not in women (27.0 ± 3.5 vs 26.7 ± 3.8, p = 0.057).
Table 1

General characteristics of the participants by hyperuricemia

Characteristic

Male (n = 848)

Female (n = 1254)

Total (n = 2102)

hyperuricemia (n = 148)

No hyperuricemia (n = 700)

P

subtotal

hyperuricemia (n = 204)

No hyperuricemia (n = 1050)

P

subtotal

x̄ ± s

 Age (yrs)

73.5 ± 6.9

72.1 ± 6.8

0.028

72.3 ± 6.9

71.8 ± 6.0

70.1 ± 6.3

0.001

70.4 ± 6.2

71.2 ± 6.6

 WC(cm)

94.0 ± 8.4

90.6 ± 8.4

<0.001

91.2 ± 8.5

90.3 ± 9.5

85.6 ± 8.6

<0.001

86.4 ± 8.9

88.3 ± 9.1

 BMI(kg/m2)

25.7 ± 3.0

24.8 ± 3.1

0.002

24.9 ± 3.1

26.4 ± 3.8

24.8 ± 3.5

<0.001

25.0 ± 3.6

25.0 ± 3.4

 SBP(mm Hg)

136.8 ± 17.5

136.6 ± 18.0

0.927

136.7 ± 17.9

141.9 ± 20.4

140.2 ± 20.9

0.285

140.5 ± 20.8

139.0 ± 19.8

 DBP(mmHg)

77.4 ± 9.4

78.6 ± 9.7

0.191

78.4 ± 9.7

75.9 ± 10.4

76.8 ± 9.9

0.273

76.6 ± 10.0

77.3 ± 9.9

 TC(mmol/L)

5.0 ± 1.1

4.9 ± 0.9

0.131

4.9 ± 0.9

5.5 ± 1.0

5.5 ± 1.0

0.550

5.5 ± 1.0

5.3 ± 1.0

 TG(mmol/L)

1.8 ± 1.0

1.5 ± 0.8

0.001

1.5 ± 0.9

2.1 ± 1.0

1.7 ± 0.9

<0.001

1.8 ± 0.9

1.7 ± 0.9

 HDL-C(mmol/L)

1.2 ± 0.3

1.3 ± 0.4

0.016

1.3 ± 0.4

1.4 ± 0.4

1.5 ± 0.4

<0.001

1.5 ± 0.4

1.4 ± 0.4

 LDL-C(mmol/L)

3.1 ± 0.9

3.0 ± 0.8

0.338

3.1 ± 0.8

3.4 ± 0.8

3.4 ± 0.9

0.506

3.4 ± 0.9

3.3 ± 0.8

 FPG(mmol/L)

6.0 ± 1.3

6.1 ± 1.6

0.428

6.1 ± 1.5

6.1 ± 1.3

6.1 ± 1.8

0.704

6.1 ± 1.8

6.1 ± 1.7

 2hPG(mmol/L)

8.1 ± 2.6

8.2 ± 3.0

0.707

8.2 ± 3.0

9.2 ± 3.3

8.2 ± 3.3

<0.001

8.4 ± 3.3

8.3 ± 3.2

 MMSE score

27.7 ± 2.6

27.0 ± 3.8

0.014

27.1 ± 3.6

27.0 ± 3.5

26.7 ± 3.8

0.057

26.8 ± 3.7

26.9 ± 3.7

n (%)

 Education ≥ 7 yrs

124(83.8)

576(82.3)

0.663

700(82.5)

142(69.6)

680(64.8)

0.183

822(65.6)

1522(72.4)

 Married

131(88.5)

650(92.9)

0.075

781(92.1)

157(77.0)

836(79.6)

0.392

993(79.2)

1774(84.4)

 Current smoking

27(18.2)

153(21.9)

0.329

180(21.2)

7(3.4)

44(4.2)

0.615

51(4.1)

231(11.1)

 Current alcohol drinking

58(39.2)

267(38.1)

0.812

325(38.3)

14(6.9)

86(8.2)

0.522

100(8.0)

425(20.2)

 Physical activity (≥0.5 h/day)

88(59.5)

422(60.3)

0.852

510(60.1)

121(59.3)

603(57.4)

0.618

724(57.7)

1234(58.7)

 Family history of dementia

10(6.8)

32(4.6)

0.266

42(5.1)

10(4.9)

50(4.8)

0.932

60(4.8)

102(4.9)

 Cerebral vascular disease

28(18.9)

90(12.9)

0.053

118(13.9)

25(12.3)

124(11.8)

0.857

149(11.9)

267(12.7)

 Kidney disease

31(20.9)

52(7.4)

<0.001

83(9.8)

5(2.5)

17(1.6)

0.408

22(1.8)

105(5.0)

Data are mean ± SD for continuous values or n (%) for category values

TC total cholesterol, TG triglyceride, LDL-C low density lipoprotein cholesterol

Age and gender-specific prevalence of hyperuricemia and MCI of the study participants

The prevalence of hyperuricemia and MCI in this community elderly was 16.7% and 15.9% respectively. Prevalence of both two diseases increased linearly with increasing age group (p < 0.001). Women have a statistically higher prevalence of MCI than men (18.0% vs. 12.9%, P = 0.001). For hyperuricemia, men had a relatively higher prevalence in the elderly aged less than 70 yrs., but women had increased at a faster rate than men, however, the difference was not statistically significance (p > 0.05). The results were listed in Table 2.
Table 2

Prevalence of hyperuricemia and MCI by gender and age group

 

Prevalence of hyperuricemia (%)

Prevalence of MCI (%)

Men

Female

p

Subtotal

Men

Female

p

Subtotal

Age group

 60–69 yrs

14.8

12.3

0.300

13.2

7.4

9.9

0.048

9.0

 70–79 yrs

17.8

18.7

0.704

18.3

12.9

22.4

<0.001

18.5

  ≥ 80 yrs

22.6

24.1

0.815

23.2

26.1

38.0

0.039

30.9

 ptrend

0.036

0.002

 

<0.001

<0.001

<0.001

 

<0.001

 subtotal

17.5

16.3

0.475

16.7

12.9

18.0

0.001

15.9

Mean MMSE score and prevalence of MCI for participants with and without hyperuricemia

The mean MMSE score showed an increasing trend along with quarters of SUA levels among those without hyperuricemia in both genders (p for trend <0.05). The prevalence of MCI also showed the same trend, which decreased from 20.9% to 13.7% (p = 0.030). Among those participants who had hyperuricemia, the mean score of MMSE and the prevalence of MCI did not show statistically significant changing trend with SUA levels. The results were listed in Table 3. Also, we can see from Table 3, the mean score kept increasing for the first two quarters among those with hyperuricemia, and got decreased for the highest two quarters of SUA levels. The prevalence also decreased from 16.5% to 9.1% for the first three quarters, and changed to 13.6% for the highest quarter of SUA level.
Table 3

MMSE score and MCI Prevalence According to SUA quartiles by gender and hyperuricemia

 

SUA quartiles by gender and hyperuricemia

 

Q1

Q2

Q3

Q4

P trend

total

Participants without hyperuricemia

 MMSE score

  Male

26.9 ± 3.9

27.0 ± 4.0

27.1 ± 3.4

27.2 ± 3.7

0.038

27.0 ± 3.8

  Female

26.3 ± 3.8

26.5 ± 4.1

27.0 ± 3.9

27.1 ± 3.2

0.048

26.7 ± 3.8

  Subtotal

26.6 ± 3.9

26.8 ± 4.1

27.0 ± 3.7

27.1 ± 3.4

0.031

26.8 ± 3.8

 Prevalence of MCI

  Male

28(15.7)

23(13.7)

24(13.6)

21(11.9)

0.039

96(13.7)

  Female

68(25.8)

52(20.1)

39(14.8)

36(13.6)

0.008

195(18.6)

  Subtotal

96(20.9)

75(16.7)

63(15.2)

57(13.7)

0.030

291(16.6)

Participants with hyperuricemia

 MMSE score

  Male

27.8 ± 3.2

27.7 ± 2.5

27.7 ± 2.8

27.5 ± 2.2

0.965

27.7 ± 2.6

  Female

26.7 ± 3.6

27.4 ± 2.7

27.2 ± 4.1

26.5 ± 3.4

0.549

27.0 ± 3.5

  Subtotal

27.2 ± 3.4

27.5 ± 2.5

27.3 ± 3.6

27.0 ± 3.1

0.772

27.2 ± 3.1

 Prevalence of MCI

  Male

5(13.5)

3(8.1)

4(10.8)

1(2.7)

0.155

13(8.8)

  Female

9(18.8)

7(13.0)

4(7.8)

11(21.6)

0.854

31(15.2)

  Subtotal

14(16.5)

10(11.0)

8(9.1)

12(13.6)

0.526

44(12.5)

Multivariate associations of SUA level with MMSE score and MCI prevalence

Table 4 showed the multivariate associations between SUA and with MMSE score and MCI prevalence. This table showed that after adjusted age, gender, education, marital status, current smoking, current alcohol drinking, BMI, physical activity ≥ 0.5 h/day, family history of dementia, hypertension, cerebral vascular disease and diabetes, participants with higher SUA levels were at significantly elevated risk for MCI prevalence among those without hyperuricemia. For MMSE score, the β (95% CI) of SUA were 0.14(95% CI: 0.04–0.42) and 0.28(95% CI: 0.02–0.53) for men and women respectively. For MCI prevalence, the OR (95% CI) of quarters of SUA showed an increasing trend. The ORs were 1.01(95% CI: 0.69–1.48), 1.50(95% CI: 0.85–2.64), 1.65(95% CI: 1.12–2.43) and 1.53(95% CI: 1.00–2.33), 1.84(95% CI: 1.27–2.90), 1.92(95% CI: 1.02–3.35) for the second, third and highest quarters among men and women respectively (with the lowest quartile as the reference). Among the participants with hyperuricemia, the β (95% CI) for MMSE score were −0.03(95% CI: -0.56-0.39) and −0.01(95% CI: -0.43-0.37) for men and women. In the model of MCI prevalence, the ORs were also not statistically significant among participants with hyperuricemia.
Table 4

Multiple linear and logistic regression of SUA level for MMSE score and MCI prevalence

 

SUA level (continuous)

SUA level (quartiles by gender)

MMSE score

β(95% CI)

P

Q1

Q2 β(95% CI)

Q3 β(95% CI)

Q4 β(95% CI)

P trend

 Participants with hyperuricemia

  Male

−0.03(−0.56–0.39)

0.721

1.00(Ref)

0.97(0.66–1.43)

0.92(0.58–1.26)

0.99(0.87–1.13)

0.544

  Female

−0.01(−0.43–0.37)

0.882

1.00(Ref)

1.07(0.80–1.27)

1.05(0.78–1.31)

1.00(0.92–1.18)

0.922

 Participants without hyperuricemia

 

  Male

0.14(0.04–0.42)

0.048

1.00(Ref)

1.01(0.69–1.48)

1.50(0.85–2.64)

1.65(1.12–2.43)

0.027

  Female

0.28(0.02–0.53)

0.037

1.00(Ref)

1.53(1.00–2.33)

1.84(1.27–2.90)

1.92(1.02–3.35)

0.017

Prevalence of MCI

OR (95% CI)

P

Q1

Q2 OR (95% CI)

Q3 OR (95% CI)

Q4 OR (95% CI)

P trend

 Participants with hyperuricemia

  Male

1.06(0.47–1.64)

0.126

1.00(Ref)

0.48(0.10–2.33)

0.54(0.12–2.40)

0.10(0.01–0.97)

0.256

  Female

1.02(0.67–1.56)

0.915

1.00(Ref)

0.59(0.18–1.90)

0.32(0.08–1.23)

1.08(0.36–3.20)

0.246

Participants without hyperuricemia

  Male

0.82(0.68–0.99)

0.047

1.00(Ref)

0.95(0.50–1.78)

0.91(0.49–1.70)

0.72(0.38–1.36)

0.025

  Female

0.80(0.65–0.97)

0.034

1.00(Ref)

0.87(0.45–1.70)

0.72(0.44–1.77)

0.64(0.39–1.06)

0.008

Adjusted for age, education, marital status, BMI, current smoking, current drinking, physical activity ≥ 0.5 h/day, family history of dementia, hypertension, cerebral vascular disease and diabetes

We also ascertained the association of SUA level with MMSE score and MCI prevalence in the sensitivity analysis and the results were similar (Additional file 1: Appendix Table S1 and S2). When participants with cerebral vascular disease (n = 267, 12.7%) and kidney disease (n = 105, 5.0%) were excluded, the βs and ORs were similar with that in the Table 4. Higher SUA level was related with better cognitive function when SUA was in the normal range. There was also still no significant association among participants with hyperuricemia.

Discussion

In this representative community elderly based study; we evaluated the association of SUA level and cognitive function. The results that higher SUA level within normal range were positively associated with a decreased prevalence of MCI even after adjusting for demographic and other potential confounders. However, this association was not significant among participants with hyperuricemia.

Different from the high risk and harm of SUA level and cardiovascular diseases [25], a number of studies have provided evidence that SUA had protective effect on cognitive function and is beneficial to reduce dementia [1416]. In this representative sample of Chinese urban elderly, we also found a graded positive association between hyperuricemia and cognitive function. When in the normal range, higher SUA level was associated with higher MMSE score and lower risk of MCI prevalence. And cognitive function was found to rise along with the increase of quarters of SUA levels. This is in accordance with previous studies. Molshatzki found that after 10 years follow-up, low uric acid levels in patients with preexisting cardiovascular disease are associated with poorer cognitive function [14]. Méndez-Hernández revealed that higher levels of uric acid are associated with a decreased risk of dementia using a case-control study in a Mexican population [13]. Yili Wu found that among Chinese aged 50–74 years, prevalence of cognitive disorder declined across UA tertiles [9]. The mechanism between higher SUA level and better cognitive function was not clear; one possible explanation was oxidative stress. SUA is a water-soluble antioxidant, which accounts for more than half of the free radical scavenging activity [17]. SUA could exert neuro-protective effects against Alzheimer’s disease via its antioxidant capacities [16].

The present study also provides evidence that elevated SUA level was not associated with MCI among those participants with hyperuricemia. When SUA level was higher than the normal range, there was no statistically significant positive correlation with cognitive function. This result confirmed previous studies. A study about elderly women from U.S. showed higher baseline SUA levels was associated with poorer cognitive performance (p = 0.048). Another study from Italy showed that participants who had the highest SUA tertile had higher risk (OR = 3.32, 95%CI: 1.06–10.42) to suffer from dementia based on 1016 community-dwellings. On the other hand, there were several studies revealed that higher SUA levels were related to higher prevalence of gout and cardiovascular diseases [26, 27]. So the key question is what is the appreciate cut point for SUA levels. There is urgent need for long-time follow-up cohort studies to verify the optimal diagnostic boundary value, which would maximize the benefits, not only for gout and cardiovascular diseases, but also for MCI and dementia.

The study had several potential limitations. First, the SUA level was measured once, and may not reflect the true value, and did not consider the fluctuation. Second, the limitations of cross-sectional study lowered strength of evidence for causal inference. Long time follow up study are needed to confirm the results. Third, results among hyperuricemia individuals are based on very few cases of MCI patients, thus results might not be reliable. Fourth, there were several possible confounding factors we didn’t consider ApoE genotype and drug treatment status. On the other hand, the study also some advantages. We used strict training process and quality assurance programs during the whole study. The selected community was representative metropolitan area of the geographic and economic characteristics in Beijing, and the response rate was high. So this population-based study with large sample and high response rate would have a good chance to better analysis the association between SUA level and cognitive function. Second, the SUA level in this study was carefully analyzed using the normal range and higher SUA level in hyperuricemia, which is different from most previous studies. The results also showed that it’s not the simple “the higher the better” or “no correlation” or “the lower the better”. The association results were different with SUA levels.

Conclusion

In summary, the present study showed higher SUA level are related to lower prevalence of MCI and better cognitive function, only when SUA level was in the normal range among Chinese community elderly population. This indicated that further studies should focus on the appropriate SUA level, which is helpful to reduce both dementia and cardiovascular diseases.

Declarations

Acknowledgements

We thank Nurse Kang, Head Nurse Wang from PLA general hospital for research assistance and all the participants in flied works.

Funding

This study is supported by research grants from Beijing Natural Science Foundation (7174350), Beijing Municipal Science and Technology Commission (Z161100005016021), National key research and development program (2016YFC1303603) and State Key Development Program of Basic Research of China (973 programs, 2013CB530800). The funding body had no involvement in any stage of the study.

Availability of data and materials

The data are kept at Institute of Geriatrics, Chinese PLA General Hospital, China. The datasets used and/or analyzed during the current study available from Professor Yao He (yhe301@sina.com) on reasonable request.

Authors’ contributions

ML and YH contributed to the design of the study. All authors were involved in the analysis and interpretation of the data. JHW, and JZ conducted the statistical analysis. ML and YH worked on the drafting of the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Study was approved by the Ethics Committees of Chinese PLA General Hospital (EC0411–2001). A written informed consent was obtained from participants who could understand and write their names. For those with severe cognitive impairment, we explained the informed consent both to the participants and also to their responsible caregivers and got the consent with the help of caregivers.

Consent for publication

Not applicable.

Competing interests

The author (s) declared no conflicts of interest with respect to the research, authorship, funding, and/or publication of this article.

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Authors’ Affiliations

(1)
Institute of Geriatrics, Chinese PLA General Hospital
(2)
Beijing Key Laboratory of Aging and Geriatrics
(3)
State Key Laboratory of Kidney Disease, Chinese PLA General Hospital

References

  1. Lambert MA, Bickel H, Prince M, Fratiglioni L, Von Strauss E, Frydecka D, et al. Estimating the burden of early onset dementia; systematic review of disease prevalence. Eur J Neurol. 2014;21:563–9.View ArticlePubMedGoogle Scholar
  2. Prince M, Bryce R, Albanese E, Wimo A, Ribeiro W, Ferri CP. The global prevalence of dementia: a systematic review and metaanalysis. Alzheimers Dement. 2013;9:63–75.View ArticlePubMedGoogle Scholar
  3. Wortmann M. Dementia: a global health priority - highlights from an ADI and World Health Organization report. Alzheimers Res Ther. 2012;4:40.PubMedPubMed CentralGoogle Scholar
  4. Alzheimer's Association. 2014 Alzheimer's disease facts and figures. Alzheimers Dement. 2014;10(2):e47–92.Google Scholar
  5. Chan KY, Wang W, Wu JJ, Liu L, Theodoratou E, Car J, et al. Epidemiology of Alzheimer's disease and other forms of dementia in China, 1990-2010: a systematic review and analysis. Lancet. 2013;381:2016–23.View ArticlePubMedGoogle Scholar
  6. Yu R, Chau PH, McGhee SM, Cheung WL, Chan KC, Cheung SH, et al. Trends in prevalence and mortality of dementia in elderly Hong Kong population: projections, disease burden, and implications for long-term care. Int J Alzheimers Dis. 2012;2012:406852.PubMedPubMed CentralGoogle Scholar
  7. Prince M, Acosta D, Ferri CP, Guerra M, Huang Y, Jacob KS, et al. The association between common physical impairments and dementia in low and middle income countries, and, among people with dementia, their association with cognitive function and disability. A 10/66 dementia research group population-based study. Int J Geriatr Psychiatry. 2011;26:511–9.View ArticlePubMedGoogle Scholar
  8. Li N, Zhang L, Du W, Pang L, Guo C, Chen G, et al. Prevalence of dementia-associated disability among Chinese older adults: results from a national sample survey. Am J Geriatr Psychiatry. 2015;23:320–5.View ArticlePubMedGoogle Scholar
  9. Wu Y, Zhang D, Pang Z, Jiang W, Wang S, Tan Q. Association of serum uric acid level with muscle strength and cognitive function among Chinese aged 50-74 years. Geriatr Gerontol Int. 2013;13:672–7.View ArticlePubMedGoogle Scholar
  10. Vannorsdall TD, Kueider AM, Carlson MC, Schretlen DJ. Higher baseline serum uric acid is associated with poorer cognition but not rates of cognitive decline in women. Exp Gerontol. 2014;60:136–9.View ArticlePubMedPubMed CentralGoogle Scholar
  11. Gonzalez-Aramburu I, Sanchez-Juan P, Sierra M, Fernandez-Juan E, Sanchez-Quintana C, Berciano J, et al. Serum uric acid and risk of dementia in Parkinson's disease. Parkinsonism Relat Disord. 2014;20:637–9.View ArticlePubMedGoogle Scholar
  12. Cicero AF, Desideri G, Grossi G, Urso R, Rosticci M, D'Addato S, et al. Serum uric acid and impaired cognitive function in a cohort of healthy young elderly: data from the Brisighella study. Intern Emerg Med. 2015;10:25–31.View ArticlePubMedGoogle Scholar
  13. Mendez-Hernandez E, Salas-Pacheco J, Ruano-Calderon L, Tellez-Valencia A, Cisneros-Martinez J, Barraza-Salas M, et al. Lower uric acid linked with cognitive dysfunction in the elderly. CNS Neurol Disord Drug Targets. 2015;14:564–6.View ArticlePubMedGoogle Scholar
  14. Molshatzki N, Weinstein G, Streifler JY, Goldbourt U, Tanne D. Serum uric acid and subsequent cognitive performance in patients with pre-existing cardiovascular disease. PLoS One. 2015;10:e120862.View ArticleGoogle Scholar
  15. Tuven B, Soysal P, Unutmaz G, Kaya D, Isik AT. Uric acid may be protective against cognitive impairment in older adults, but only in those without cardiovascular risk factors. Exp Gerontol. 2017;89:15–9.View ArticlePubMedGoogle Scholar
  16. De Giorgi A, Fabbian F, Pala M, Tiseo R, Parisi C, Misurati E, et al. Uric acid: friend or foe? Uric acid and cognitive function "gout kills more wise men than simple". Eur Rev Med Pharmacol Sci. 2015;19:640–6.PubMedGoogle Scholar
  17. Euser SM, Hofman A, Westendorp RG, Breteler MM. Serum uric acid and cognitive function and dementia. Brain. 2009;132:377–82.View ArticlePubMedGoogle Scholar
  18. Ruggiero C, Cherubini A, Lauretani F, Bandinelli S, Maggio M, Di Iorio A, et al. Uric acid and dementia in community-dwelling older persons. Dement Geriatr Cogn Disord. 2009;27:382–9.View ArticlePubMedPubMed CentralGoogle Scholar
  19. Li J, Dong BR, Lin P, Zhang J, Liu GJ. Association of cognitive function with serum uric acid level among Chinese nonagenarians and centenarians. Exp Gerontol. 2010;45:331–5.View ArticlePubMedGoogle Scholar
  20. Liu M, He Y, Jiang B, Wu L, Yang S, Wang Y, et al. Association between serum uric acid level and metabolic syndrome and its sex difference in a Chinese community elderly population. Int J Endocrinol. 2014;2014:754678.PubMedPubMed CentralGoogle Scholar
  21. B L, T W, Hn Z, Ww Y, Hp Y, Cx L, et al. The prevalence of hyperuricemia in China: a meta-analysis. BMC Public Health. 2011;11:832.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Xu G, Meyer JS, Huang Y, Du F, Chowdhury M, Quach M. Adapting mini-mental state examination for dementia screening among illiterate or minimally educated elderly Chinese. Int J Geriatr Psychiatry. 2003;18:609–16.View ArticlePubMedGoogle Scholar
  23. Peng D, Xu X, Liu J, Jiao Y, Zhuang H, Meng X, et al. Discussion on application of MMSE for senile dementia patients. Chinese Journal of Neuroimmunology and Neurology2005. 12:187–90.Google Scholar
  24. Liu M, He Y, Jiang B, Wu L, Wang J, Yang S, et al. Association between metabolic syndrome and mild cognitive impairment and its age difference in a Chinese community elderly population. Clin Endocrinol. 2015;82:844–53.View ArticleGoogle Scholar
  25. Braga F, Pasqualetti S, Ferraro S, Panteghini M. Hyperuricemia as risk factor for coronary heart disease incidence and mortality in the general population: a systematic review and meta-analysis. Clin Chem Lab Med. 2016;54:7–15.View ArticlePubMedGoogle Scholar
  26. Galassi FM, Borghi C. A brief history of uric acid: from gout to cardiovascular risk factor. Eur J Intern Med. 2015;26:373.View ArticlePubMedGoogle Scholar
  27. Abeles AM. Hyperuricemia, gout, and cardiovascular disease: an update. Curr Rheumatol Rep. 2015;17:13.View ArticlePubMedGoogle Scholar

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© The Author(s). 2017

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