1. Introduction
Hyperuricemia (HUA) plays significant roles in gout development and urinary stone formation. Also, accumulating evidence suggests that HUA may be an indicative marker of, or play a role in, the pathogenesis of various diseases, including metabolic, cardiovascular, and renal disease [
1,
2,
3]. The presence of HUA is related to increased mortality and is affected by various lifestyle and behavior variables [
4,
5,
6,
7,
8,
9,
10,
11,
12,
13]. Given the increased prevalence of HUA and its clinical impact, understanding its risk factors has become increasingly important.
HUA is a condition that exhibits differences in disease characteristics, risk profiles, and associated complications between sexes. Additionally, some studies have proposed examining sex not just for differences but treating it as a significant biological variable [
14]. Thoroughly analyzing sex-specific factors when studying certain diseases in order to gain insights into clinical profiles and develop effective preventive strategies is crucial. There is some evidence for sex-based differences in the interrelationship between the risk of HUA and MetS. In most studies, an association between HUA and MetS has been found in both genders [
15,
16,
17,
18,
19,
20,
21]. However, in studies related to lifestyle factors associated with HUA, particularly concerning smoking and alcohol consumption, the results regarding gender-specific associations varied across different studies [
5,
6,
11,
22,
23]. Since smoking and alcohol consumption are linked to MetS [
24], it is necessary to examine the influence of these lifestyle factors on their association with HUA, considering the presence or absence of MetS.
However, previous research studies had methodological limitations because they did not perform such subgroup or stratified analyses. Additionally, it is crucial to assess the risk of HUA in situations where individuals have both MetS and unhealthy lifestyle factors, as this scenario is common. Previous studies, however, mainly focused on understanding the association between HUA and a single specific factor. Second, other potential confounding variables such as BMI [
22] and CKD [
11,
22], known to be associated with the risk of HUA, were not considered. Third, the largest-scale study in Asia, which examined metabolic comorbidities and lifestyle factors associated with HUA, was carried out in China with 11,567 participants. However, it had limitations as it only included participants aged 35 or older, and a similar restriction was observed in another Chinese study, which focused on participants aged 40 or older. These age-based limitations may affect the generalizability of the findings [
22,
23].
Evaluating the interactive effects of risk factors can provide valuable information for identifying at-risk individuals in preventive and therapeutic settings.
Kim IY et al. reported that in women with both MetS and obesity, the risk of HUA significantly increases compared to men [
25]. A British study found that an unhealthy lifestyle, which includes smoking, alcohol consumption, poor dietary habits, and physical inactivity, along with a genetic predisposition for gout and cardiometabolic diseases, increases the risk of gout over sevenfold [
26]. In an Indonesian study, overweight smokers had a ninefold increased risk of gout compared to non-smokers with normal weight [
27].
To our knowledge, there have been no studies evaluating the risk of HUA in individuals who simultaneously have both MetS and unhealthy lifestyle factors (smoking, alcohol use) in Korea.
Taking into account the limitations of previous studies, we conducted a comprehensive analysis using data from the Korean National Health and Nutritional Examination Survey (KNHANES) from 2016 to 2018. Our primary objective was to clarify the complex relationship between MetS, major cardiovascular risk factors, unhealthy lifestyles, and HUA. We also aimed to consider the interactive effects of these factors regarding sex disparities, using a larger dataset and more adjusted variables than in previous studies. The purpose of this study was to identify high-risk groups associated with HUA to provide information for the development of preventive strategies for HUA.
4. Discussion
Previous studies on factors related to HUA have already confirmed the different risk profiles and associations between genders. In the case of MetS, an association with HUA has been consistently observed in both men and women across various studies. However, regarding lifestyle factors related to HUA, such as smoking and alcohol consumption, previous findings regarding gender-specific associations are not consistent [
5,
6,
22].
Since smoking and alcohol consumption are related to MetS, it is necessary to examine the influence of these lifestyle factors on their association with HUA, taking into account the presence or absence of MetS. However, previous research has methodological limitations as the studies did not perform such subgroup or stratified analyses. Additionally, there has been a lack of evaluation regarding the potential synergistic effect on the risk of HUA when unhealthy lifestyle factors and MetS coexist.
In this study, the relationships between HUA and MetS, cardiovascular risk factors, and unhealthy lifestyles were examined based on sex. Consistent with previous findings [
6], a greater prevalence of HUA was observed among males compared to females. We found sex-based differences in the relationships between HUA and MetS, cardiovascular risk factors, and unhealthy lifestyles. We confirmed a significant correlation between MetS and HUA in both males and females, consistent with previous studies. However, this association was particularly prominent among women after controlling for other factors that may influence the findings. Furthermore, we examined the difference in the impact of unhealthy lifestyle factors, such as smoking and alcohol consumption, on HUA based on the presence of MetS. We observed that this difference varies according to gender. In males without MetS, ex-smokers and heavy drinkers showed an association with an increased risk of HUA. However, in cases where MetS coexisted, non-smokers and heavy drinkers exhibited the highest risk. On the other hand, in females without MetS, there was no significant association between unhealthy lifestyle factors, such as smoking and alcohol consumption, and the risk of HUA. However, when MetS was present, both smoking habits and alcohol consumption were associated with an increased risk of HUA, with a particularly noticeable increase in risk observed in current smokers and heavy drinkers. This risk was up to four times higher than that of the reference group. Briefly, we observed a synergistic effect of MetS and lifestyle factors on the risk of HUA, which showed different patterns depending on sex. Women who had MetS and either smoked or consumed alcohol excessively were highly susceptible to a high risk of HUA. This finding was, at least partially, in line with a recent study from the U.S. reporting that the combination of a strong genetic predisposition and overweight status or obesity results in an excess risk of incident gout that is greater than the sum of each exposure alone, especially among women [
34]. The mechanisms of this possible interaction, particularly among women, remain to be clarified.
The inflammation and cell damage induced by these factors can lead to an increased release of cellular urate [
35]. The observed vulnerability in women can be attributed to gender differences in the regulation of inflammation and MetS, along with the potential for more pronounced harmful effects of alcohol and smoking in women [
36].
Physiologically, women have lower uric acid levels compared to men, but several findings have suggested a stronger association between HUA and women with certain risk factors [
37,
38]. A Chinese elderly community study showed that the relationship between HUA and MetS was more robust in women than in men [
15]. In one prospective study, men with higher serum uric acid levels had a 1.6-fold higher risk of MetS, and women had more than a twofold higher risk [
20]. In a group of obese individuals, the presence of inflammatory abnormalities, which are recognized as biomarkers for determining MetS, showed a stronger correlation with both uric acid and MetS in females [
39]. This finding suggests that there may be sex-specific differences in the association of inflammation with these health conditions among obese individuals. A meta-analysis revealed a connection between HUA and the incidence of or mortality from CVD in women, while no such relationship was observed among men [
40]. The present investigation revealed an association between the risk of HUA and MetS, which was observed in both sexes. However, this connection was found to be more pronounced in women. This finding was consistent with that of previous research. Moreover, the cumulative impact of MetS components on HUA exerted a greater influence on women compared to men. The underlying reason for these sex differences is complex and multifaceted. Potential explanations include sex hormonal effects or inherent variations in insulin sensitivity and body fat composition, factors that interact with HUA and MetS outcomes [
41,
42]. Additionally, lifestyle choices as well as social factors such as smoking and alcohol consumption may have differential effects on HUA depending on sex, an observation previously substantiated by studies cited here [
11,
23,
43]. In a Mendelian randomization analysis conducted in Korea, a causal relationship between any alcohol consumption and HUA was found only in men [
44]. However, in our study, an association was observed not only in men but also among women who consumed alcohol in moderation. Recent Chinese research has shown gender-specific differences in the impact of alcoholic beverage types on serum urate levels [
45]. Therefore, future studies should consider the type of alcoholic beverage.
Numerous studies have been conducted on the effects of smoking on urate based on sex, and the results are inconclusive. It is suggested that variations in research methodologies, the diversity of confounders, differences in smoking intensity, and limitations associated with self-reported lifestyle information may have played a role in this disparity [
35]. Two recent Korean cohort studies, without subgroup analysis, reported an association between current smoking status and the risk of HUA in women [
5,
6], which is consistent with our findings. However, in our subgroup analysis, current smoking habits were not associated with increased risk of HUA in women without MetS. In women with MetS, a smoking habit was associated with the risk of HUA. Our results suggest that the strong impact of current smoking on HUA in women may be attributed to the confounding effect of MetS. Women who currently smoke are more likely to have MetS [
46] because smoking is associated with metabolic risk factors such as insulin resistance, abdominal obesity, and dyslipidemia, which are components of MetS [
47]. This subsequently increases their susceptibility to HUA. One notable discovery in this study is that women who have both MetS and are current smokers face a significantly higher risk of developing HUA, up to four times greater than the reference group. This finding suggests that although MetS may play a more dominant role than smoking in the development of HUA, the combination of MetS and current smoking among women may have a synergistic effect on HUA development. MetS and current smoking habits are all modifiable factors through lifestyle changes and/or medical treatment. Although this result does not imply causality, careful monitoring and management may be necessary for the prevention of HUA in women smokers with MetS. Considering previous results that indicate a 50% reduction in the risk of developing gout when recovering from MetS, treating MetS could serve as secondary prevention for HUA [
48]. In a UK biobank study, it was confirmed that adopting a healthy lifestyle can reduce the risk of gout associated with genetic factors by almost one-third. The importance of correcting MetS and unhealthy lifestyle habits is evident [
26].
In men, these relationships were more pronounced in non-smokers, unlike the findings in women. Further research will be needed to elucidate the mechanism underlying these sex differences. Through subgroup analysis based on alcohol consumption and the presence of MetS, we confirmed that women are more vulnerable to MetS and unhealthy lifestyle behaviors.
The relationship between HTN and HUA has previously been established. Previous studies have mainly focused on the association between HUA and incident HTN, but the results have been inconsistent with respect to sex effects [
49,
50,
51,
52]. Our study identified a significant association between HTN and an increased risk of HUA only in women. In our study, we also discovered a variation in the association between DM and HUA according to sex. Specifically, among women, having DM was linked to an increased risk of HUA. However, interestingly, diabetic males were found to have a negative association with HUA. These observations align with the results reported in previous research studies that support similar conclusions [
38,
53,
54]. Hyperglycemia can cause alterations in uric acid reabsorption and excretion in the proximal tubules, and insulin resistance can also lead to tubular dysfunction. Presumably, the effects of insulin resistance and glucose metabolism on urate metabolism are expected to differ between men and women [
55]. However, the exact mechanism for this has not been clarified. Also, lifestyle, treatment compliance, hormonal effects, sex-based differences in body fat composition, and comorbidities are possible mechanisms.
There are some limitations in our research. This study was conducted as a cross-sectional study, and even if the association between HUA and potential risk factors was confirmed, a causal relationship cannot be established. Second, since KNHANES did not include detailed information about underlying diseases or medications taken by subjects that affect serum urate, we could not adjust for medication or diagnosis of gout in analyses. Furthermore, the findings are not generalizable beyond Korean individuals. This research, however, confirms the sex-specific link between alterable risk factors and HUA. Additionally, this study identifies a subgroup with an extremely high risk of developing HUA. These findings have important implications for the creation of clinical guidelines that are tailored to specific sexes.
In conclusion, MetS has been determined to be a significant risk factor for HUA in both men and women, regardless of lifestyle behaviors. The influence of lifestyle behaviors on HUA varied depending on the presence of MetS. These associations varied by gender. The presence of MetS coupled with unhealthy habits amplifies the susceptibility to developing HUA particularly among women. Sex-specific screening measures aimed at identifying asymptomatic HUA cases along with preventive strategies to mitigate potential complications and alleviate socio-economic burdens are necessary. This study’s findings suggest the need for special attention to HUA in women with MetS who have unhealthy lifestyle habits (current smoker, heavy drinker). Additional clinical trials involving interventions related to lifestyle habits and MetS are required to ascertain the causality of the observed associations.