The dose-response relationship between sex hormones and hyperuricemia in different gender: NHANES 2013-2016

Li, Guoyun; Qian, Xu-dong; Ma, Chunxiao; Yin, Fei

doi:10.3389/fendo.2022.1035114

Cited by 4 publications

(6 citation statements)

References 38 publications

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“…In line with previous studies [12,15,17,21], our study demonstrated signi cant sex differences in SUA level and HUA prevalence. It may be explained by the differences in physiological hormone secretion, lifestyle such as smoking history and alcohol use, and diet habit between men and women.…”

Section: Discussionsupporting

confidence: 92%

“…It may be explained by the differences in physiological hormone secretion, lifestyle such as smoking history and alcohol use, and diet habit between men and women. A logistic regression analysis showed that sex hormones had a dose-response relationship with HUA prevalence, such as estradiol and testosterone [21]. Furthermore, we found a U-shaped distribution of HUA prevalence along with the increase of age in female individuals, with highest HUA prevalence in the age group of over 50 years old.…”

Section: Discussionmentioning

confidence: 52%

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Prevalence of hyperuricemia and its correlation with metabolic syndrome in young adults: a cross-sectional study in eastern China

Lu,

Hu,

et al. 2024

Preprint

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Background Hyperuricemia (HUA) has emerged as a significant metabolic disease, particularly in young population with metabolic syndrome (MS). The purpose of this study was to study the prevalence of HUA and its correlation with metabolic syndrome among young adults in a coastal city of eastern China. Methods It was a cross-sectional study conducted in adults undergoing routine healthy checkup. Anthropometric data and serological parameters were collected and in related to serum uric acid (SUA) concentration and prevalence of HUA. Results A total of 9,196 adults with mean age of 34.3 ± 11.8 years old and 75.2% of males were recruited. Mean SUA level was 371.8 ± 95.6 µmol/l and overall HUA prevalence was 31.3%. SUA level was higher and HUA was more common in younger males, as well as in those with MS (OR: 3.07; 95% CI: 2.78–3.39) demonstrated by using the univariable binary logistic regression analysis model. The multivariable binary logistic regression analysis revealed that male (OR: 3.74; 95% CI: 3.12–4.48), young age (OR: 1.22; 95% CI: 1.19–1.26), low estimated-glomerular filtration rate (OR: 2.45; 95% CI: 2.11–2.84), high body mass index (OR: 2.31; 95%CI: 2.06–2.60), hypertension (OR: 1.18; 95% CI: 1.04–1.32), high serum triglyceride (OR: 2.08; 95%CI: 1.81–2.37), and low serum high-density lipoprotein cholesterol (OR: 1.33; 95% CI: 1.15–1.55) were independent risk factors associated with HUA prevalence. Conclusion SUA level increased and HUA was common in young adults. Male, young age, reduced kidney function, combined with MS and more MS components were associated with prevalence of HUA.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 52%

Prevalence of hyperuricemia and its correlation with metabolic syndrome in young adults: a cross-sectional study in eastern China

Lu,

Hu,

et al. 2024

Preprint

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“…44 By offering detailed insights on dietary habits, environmental exposures, drug trends, and adherence, NHANES fortifies the monitoring of nutritional health, food environs, and diet-associated behaviors and maladies. 45,46 Adherence to ethical considerations is paramount: all NHANES participants proffer written informed consent, facilitated by the approval of the Research Ethics Review Board of the National Center for Health Statistics. Furthermore, before any data dissemination, the National Center for Health Statistics undertakes stringent deidentification measures to uphold participant privacy.…”

Section: 21mentioning

confidence: 99%

“…Such findings offer fresh perspectives on diabetes pathogenesis in hyperuricemia patients. Intriguingly, Li 46 embarked on a detailed exploration of the NHANES database, aiming to decipher the dose‐response relationship between sex hormones and hyperuricemia and pinpoint threshold values across genders. Their exhaustive research unveiled a marked association: estradiol thresholds stood at 29.6 pg/mL for males and 23.6 pg/mL for females.…”

Section: Leveraging Public Databases For Enhanced Medication Adherenc...mentioning

confidence: 99%

“…Regular evaluations ensure that the survey remains in sync with current market tendencies and scientific breakthroughs, while also meticulously weighing factors like respondent convenience, feasibility, cost, and efficiency 44 . By offering detailed insights on dietary habits, environmental exposures, drug trends, and adherence, NHANES fortifies the monitoring of nutritional health, food environs, and diet‐associated behaviors and maladies 45,46 …”

Section: Leveraging Public Databases For Enhanced Medication Adherenc...mentioning

confidence: 99%

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Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

Xu,

Zheng,

et al. 2023

J Evidence Based Medicine

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BackgroundIncreasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data‐rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.MethodsWe conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.ResultsOur study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision‐making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.ConclusionAdvanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

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Association between serum uric acid levels and dietary fiber intake in adults: the Korea national health and nutrition examination survey (KNHANES VII, 2016–2018)

Kim,

Jung,

Lee

et al. 2024

Nutr Metab (Lond)

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Background Hyperuricemia could be a risk for various chronic diseases, and it could be largely corrected by diet control. This study was a nationwide cross-sectional study to investigate the association between serum uric acid level and dietary fiber intake. Methods This study analyzed data based on the Korean National Health and Nutrition Examination Survey conducted from 2016 to 2018. Adults over 20 years of age with normal renal function, defined as an estimated glomerular filtration rate (eGFR) over 30mL/min/1.73m2, were included. The criteria for hyperuricemia were ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Data regarding dietary intake were obtained using the 24-hour recall method. Results A total of 15,278 subjects (6,455 males/8,823 females) were analyzed. The prevalence of hyperuricemia was 19.3% in men and 6.8% in women. There were significant, negative associations between serum uric acid and total fiber intake in both men and women. Consuming more than 27.9 g of dietary fiber in men and 20.7 g in women reduced the risk of hyperuricemia by approximately 30% with odds ratios of 0.72 (0.62–0.83) and 0.71 (0.56–0.88) in men and women, respectively. With regard to the risk reduction by the type of dietary fiber, cereal fiber was significantly identified in both men and women, while fruit fiber was only significant in men. In the subgroup analysis, this association remained significantly in young and metabolically healthy populations with normal weight. Conclusions Dietary fiber intake was inversely associated with serum uric acid levels. This relationship was particularly significant in metabolically healthy young adults.

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The dose-response relationship between sex hormones and hyperuricemia in different gender: NHANES 2013-2016

Cited by 4 publications

References 38 publications

Prevalence of hyperuricemia and its correlation with metabolic syndrome in young adults: a cross-sectional study in eastern China

Prevalence of hyperuricemia and its correlation with metabolic syndrome in young adults: a cross-sectional study in eastern China

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

Association between serum uric acid levels and dietary fiber intake in adults: the Korea national health and nutrition examination survey (KNHANES VII, 2016–2018)

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