This study investigated the impact of metabolic syndrome (MetS) and its components on prostate volume (PV) in the general Chinese population. In total, 43 455 participants in The First Medical Center of the Chinese PLA General Hospital (Beijing, China) from January 1, 2012, to December 31, 2022, undergoing health examinations were included in the study. Participants were categorized into four groups according to PV quartiles: Q1 (PV ≤24.94 ml), Q2 (PV >24.94 ml and ≤28.78 ml), Q3 (PV >28.78 ml and ≤34.07 ml), and Q4 (PV >34.07 ml), with Q1 serving as the reference group. Logistic regression analyses were used to examine the association between MetS and PV, with subgroup analyses conducted by age. Among the participants, 18 787 (43.2%) were diagnosed with MetS. In the multivariate analysis model, a significant correlation between MetS and PV was observed, with odds ratios (ORs) increasing as PV increased (Q2, OR = 1.203, 95% confidence interval [CI]: 1.139-1.271; Q3, OR = 1.300, 95% CI: 1.230-1.373; and Q4, OR = 1.556, 95% CI: 1.469-1.648). Analysis of MetS components revealed that all components were positively associated with PV, with abdominal obesity showing the most significant effect. The number of MetS components was identified as a dose-dependent risk factor for elevated PV. The impact of MetS, its components, and component count on PV exhibited a decreasing trend with advancing age. Overall, the influence of MetS, its components, and component count on PV was predominantly observed in the age groups of 40-49 years and 50-59 years. Early intervention targeting MetS can significantly alleviate the increase in PV, particularly benefiting individuals aged 40-59 years who have abdominal obesity.
Humans ; Male ; Metabolic Syndrome/complications* ; Middle Aged ; Cross-Sectional Studies ; Aged ; Prostate/diagnostic imaging* ; Adult ; Age Factors ; Organ Size ; China/epidemiology* ; Obesity, Abdominal ; Risk Factors

Non-obstructive azoospermia is a common condition associated with significant health risks, including increased mortality, cancer, and chronic diseases such as metabolic and cardiovascular disorders. This review aims to highlight the potential health challenges faced by men with this condition compared to fertile counterparts. Through a comprehensive bibliographic search on PubMed, using the following algorithm: ("infertility, male" [MeSH Terms] OR "azoospermia" [MeSH Terms]) AND ("mortality" [MeSH Terms] OR "neoplasms" [MeSH Terms] OR "chronic disease" [MeSH Terms] OR "diabetes mellitus" [MeSH Terms] OR "heart diseases" [MeSH Terms]), we analyzed existing literature to explore the associations between infertility, specifically azoospermia, and adverse health outcomes. Findings indicate that infertile men are at a higher risk of death, various cancers (particularly testicular cancer), metabolic syndrome, diabetes, hypogonadism, and cardiovascular disease. Although research specifically addressing azoospermia is limited, available studies support the notion that men with this condition may experience heightened health vulnerabilities. Given these risks, it is imperative for healthcare professionals, especially urologists, to conduct thorough health assessments for men diagnosed with azoospermia. Informing patients of these potential health issues and integrating comprehensive evaluations into their care can facilitate early detection and intervention for life-threatening conditions. Ultimately, men with azoospermia should receive ongoing monitoring to address their specific health concerns, thus improving their long-term health outcomes.
Humans ; Male ; Azoospermia/epidemiology* ; Cardiovascular Diseases/etiology* ; Metabolic Syndrome/epidemiology* ; Infertility, Male/complications* ; Testicular Neoplasms/epidemiology* ; Hypogonadism/epidemiology* ; Diabetes Mellitus/epidemiology* ; Risk Factors ; Neoplasms/epidemiology*

BACKGROUND: This cohort study aimed to identify the accumulation patterns of objectively measured ambulatory activity (AA) variables in the middle-aged and older Japanese women and examine the relationship of these derivative patterns with onset of metabolic syndrome (MetS). METHODS: A total of 794 women (mean age: 56.2 years) provided objectively assessed AA data using a uniaxial accelerometer. The number of steps, time accumulated in light-intensity AA (LIAA) and moderate-to-vigorous intensity AA (MVAA) and the ratio of MVAA to total AA (LIAA + MVAA) were calculated. Latent profile analysis was used to identify participant groups based on their distinct AA patterns. Logistic regression models were used to assess the association of groups with the onset of MetS after adjusting for age, sex, education, alcohol habit, smoking habit, energy intake, and the number of MetS components present at baseline. RESULTS: Four distinct groups were identified: Group A had low levels of the AA variable; group B accumulated a certain number or more steps primarily through MVAA; group C accumulated a certain number or more steps primarily through LIAA; and group D had high level of the AA variables. Over the course of the 5-year follow-up period, 61 participants (7.7%) developed MetS. The multivariate-adjusted odds ratio (95% confidence interval) for onset of MetS in groups B, C, and D relative to group A were 0.416 (0.166-1.218), 0.451 (0.223-0.914), and 0.933 (0.365-2.382), respectively. Group C had a significantly lower odds ratio of MetS onset than group A. CONCLUSION AA patterns accumulating a certain number or more steps, regardless of the intensity of AA, may help reduce the risk of MetS compared to inactive AA patterns.
Humans ; Metabolic Syndrome/etiology* ; Female ; Middle Aged ; Japan/epidemiology* ; Aged ; Exercise ; Cohort Studies ; Accelerometry ; Risk Factors ; East Asian People

Periodontitis has become one of the most widespread chronic inflammatory diseases worldwide, affecting roughly 11% of the adult population. In China, periodontal health is notably poor, with less than 10% of individuals over the age of 35 maintaining periodontal health, while the prevalence of periodontitis in middle-aged and elderly populations reaches as high as 82.6%. From a public health perspective, periodontitis not only seriously compromises oral health but is also closely linked to multiple chronic systemic diseases, including cardiovascular disease, diabetes mellitus, and cognitive impairment. A substantial body of cohort studies and meta-analyses consistently demonstrate that patients with periodontitis are at a significantly increased risk of cardiovascular events. Moreover, periodontitis tends to progress more rapidly in individuals with diabetes, highlighting a bidirectional causal relationship between these two conditions. Our research team has maintained a long-term focus on elucidating the relationship between periodontitis and systemic diseases within Chinese community populations. In this review, we comprehensively summarize epidemiological findings on the associations between periodontitis and cardiovascular disease, metabolic syndrome, and cognitive decline, specifically drawing on data from Chinese cohorts. Complementing these observations, animal experiments provide evidence that experimental periodontitis can induce glucose intolerance and accelerate the development of atherosclerotic lesions. At the mechanistic level, we preliminarily validate that mitochondrial DNA efflux and the hematogenous spread of periodontal pathogens may act as biological conduits bridging local periodontal inflammation with systemic pathologies. We also address current challenges in the field, including difficulties in disentangling causal relationships due to confounding comorbidities like diabetes and cardiovascular diseases, which often coexist and influence each other. To advance understanding, there is an urgent need for well-designed longitudinal and interventional studies employing advanced causal inference methods. Ultimately, this work aims to deepen the current knowledge of periodontitis ' systemic effects and to support the development of evidence-based public health strategies for integrating oral health into chronic disease prevention efforts in China.
Humans ; Periodontitis/complications* ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Metabolic Syndrome/etiology* ; Diabetes Mellitus/epidemiology* ; Risk Factors

OBJECTIVES: Metabolic syndrome (MetS) is a major public health concern that poses a significant threat to human health. Investigating its underlying mechanisms and identifying potential intervention targets has important clinical implications. This study aims to explore the association between serum gastric biomarkers and MetS and its components. METHODS: A cross-sectional study was conducted among 24 635 individuals (aged 18 to 80 years) who underwent routine health examinations from May 2017 to June 2021 at the Health Management Medical Center, Third Xiangya Hospital, Central South University. Demographic data, medical and medication history, height, weight, blood pressure, fasting blood glucose, glycated hemoglobin (HbA1c), total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and creatinine levels were collected. Serum levels of pepsinogen (PG) I, PGII, and gastrin-17 (G-17) were measured using enzyme-linked immunosorbent assay kits. MetS was diagnosed based on the International Diabetes Federation criteria. Logistic regression was used to assess the association between gastric biomarkers and MetS. RESULTS: Among the 24 635 participants, the overall prevalence of MetS was 35.72%, with a higher rate in males than in females (42.41% vs 24.31%). Compared with the non-MetS group, MetS group were older and had higher metabolic-related diseases rate, Helicobacter pylori infection rate, body mass index (BMI), waist circumference, systolic and diastolic blood pressure, total cholesterol, triglycerides, fasting blood glucose, glycated hemoglobin, and creatinine levels (all P<0.05). Serum G-17 levels were significantly elevated in the MetS group, and PGI levels decreased (both P<0.05). Males had higher G-17, PGI, PGII, and PGI/PGII ratios than females (all P<0.05). Subgroup analysis revealed that G-17 was consistently elevated in MetS patients regardless of sex, whereas PGI was decreased. PGII levels exhibited sex-specific differences. After adjusting for confounders, Logistic regression analysis revealed that high G-17 level was independently associated with MetS, with a stronger correlation observed in males. Moreover, G-17 level progressively increased with higher MetS scores (all P<0.05). CONCLUSIONS Serum G-17 level is positively associated with both the presence and severity of MetS, with a more pronounced correlation in males, suggesting its potential involvement in MetS-related metabolic dysregulation.
Humans ; Metabolic Syndrome/epidemiology* ; Female ; Male ; Middle Aged ; Adult ; Cross-Sectional Studies ; Biomarkers/blood* ; Aged ; Young Adult ; Adolescent ; Gastrins/blood* ; Pepsinogen A/blood* ; Pepsinogen C/blood* ; Aged, 80 and over

BACKGROUND: It is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups. METHODS: A total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG). RESULTS: We found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations. CONCLUSIONS This finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance.
Male ; Female ; Humans ; Metabolic Syndrome/epidemiology* ; Seasons ; Prevalence ; Climate ; Insulin Resistance ; Triglycerides

OBJECTIVE: Because of the limited number of studies and small sample sizes, whether metabolic syndrome (MS) leads to the occurrence and progression of osteoporosis and the possible underlying mechanisms require further investigation. This study aimed to investigate the association between MS and osteoporosis, along with its influencing factors. METHODS: This observational cross-sectional study included 139,470 individuals aged ≥ 18 years who underwent health examinations from September 2014 to March 2022. Based on bone mineral density (BMD) screening results, the participants were categorized into a suspected osteoporosis or non-osteoporosis group (control). Participants were further divided into those who met 0 MS criteria, 1 MS criterion, 2 MS criteria, and ≥ 3 MS criteria (MS group). Participants who had undergone health examinations at least twice formed the follow-up cohort; a self-matched analysis was performed on those with follow-up periods ≥ 5 years and unchanged MS grouping. RESULTS: Several examination indicators in the suspected osteoporosis group showed statistically significant differences compared with the control group. The proportion of suspected osteoporosis in the MS group was significantly increased compared with that in the 0 MS criteria group (odds ratio [ OR]: 1.215, Z = 29.11, P < 0.001, 95% confidence interval: 1.199-1.231). After adjusting for age, sex, smoking, and alcohol consumption, the 2 MS criteria group and MS group still had OR values > 1 ( P < 0.001). In the follow-up cohort, the proportion of suspected osteoporosis increased gradually with an increase in the number of MS criteria met at baseline and during each follow-up visit ( P < 0.05), with the highest proportion observed in the MS group. However, the proportion of suspected osteoporosis did not increase significantly over time in the different MS groups ( P > 0.05). In the follow-up cohort, the proportion of individuals transitioning from normal BMD to suspected osteoporosis was higher in the MS group after ≥ 5 years of follow-up compared with the group meeting 0 MS criteria (0.08% versus 1.15%, χ ² = 10.76, P = 0.001). There was no significant difference in BMD values for the 0 MS criteria group after 5 years ( P > 0.05), whereas the other three groups experienced a significant decrease in BMD values after 5 years ( P < 0.05). CONCLUSION MS is an independent risk factor for osteoporosis, and the effect of risk factors related to MS on osteoporosis may exceed that of aging alone. The specific mechanisms warrant further investigation.
Humans ; Osteoporosis/etiology* ; Female ; Male ; Metabolic Syndrome/complications* ; Middle Aged ; Cross-Sectional Studies ; China/epidemiology* ; Aged ; Adult ; Bone Density ; Risk Factors

Objective: To explore the relationship between sleep/physical activity and metabolic syndrome (MS) in urban population of Xinjiang. Methods: This is a prospective, cross-sectional study. From July 2019 to September 2021, a two-stage random sampling method was used to randomly select residents aged 30-74 years from two communities in Urumqi of northern Xinjiang and Korla of southern Xinjiang. General situation questionnaire, Pittsburgh Sleep Quality Index Scale (PSQI) survey, International Physical Activity Questionnaire (IPAQ) survey, physical examination, physiological and biochemical indicators were obtained and analyzed. The dose-response curves of healthy sleep score and physical activity with metabolic syndrome were plotted using restricted cubic spline curves. Multivariate logistic regression model was used to analyze the independent and combined effects of sleep quality and physical activity on MS risk. Results: A total of 10 209 participants were included. The mean age of the subjects was (47.1±9.1) years, and males accounted for 51.3% (5 275/10 209). The prevalence of MS was significantly associated with the healthy sleep score and physical activity. Compared to the subjects with healthy sleep, OR (95%CI) of MS with intermediate, and poor sleep were 1.20(1.06-1.35), 1.23(1.04-1.45), respectively. Compared to the subjects with high physical activity, OR (95%CI) of MS with medium, low physical activity was 1.34(1.15-1.56), 1.42(1.19-1.70), respectively. There was a significant interaction between sleep and physical activity in MS (P for interaction=0.002). Compared to the subjects with high physical activity and healthy sleep, OR (95%CI) of MS with poor sleep and high physical activity was 2.03 (1.24-3.33, P for trend=0.016). Conclusion: Poor sleep quality and lack of physical activity are not only independent risk factors for an increased risk of MS but also have a combined effect with an increased risk of MS.
Male ; Humans ; Adult ; Middle Aged ; Sleep Quality ; Metabolic Syndrome/epidemiology* ; Urban Population ; Cross-Sectional Studies ; Prospective Studies ; Exercise

Objective: To explore the relationship between sleep/physical activity and metabolic syndrome (MS) in urban population of Xinjiang. Methods: This is a prospective, cross-sectional study. From July 2019 to September 2021, a two-stage random sampling method was used to randomly select residents aged 30-74 years from two communities in Urumqi of northern Xinjiang and Korla of southern Xinjiang. General situation questionnaire, Pittsburgh Sleep Quality Index Scale (PSQI) survey, International Physical Activity Questionnaire (IPAQ) survey, physical examination, physiological and biochemical indicators were obtained and analyzed. The dose-response curves of healthy sleep score and physical activity with metabolic syndrome were plotted using restricted cubic spline curves. Multivariate logistic regression model was used to analyze the independent and combined effects of sleep quality and physical activity on MS risk. Results: A total of 10 209 participants were included. The mean age of the subjects was (47.1±9.1) years, and males accounted for 51.3% (5 275/10 209). The prevalence of MS was significantly associated with the healthy sleep score and physical activity. Compared to the subjects with healthy sleep, OR (95%CI) of MS with intermediate, and poor sleep were 1.20(1.06-1.35), 1.23(1.04-1.45), respectively. Compared to the subjects with high physical activity, OR (95%CI) of MS with medium, low physical activity was 1.34(1.15-1.56), 1.42(1.19-1.70), respectively. There was a significant interaction between sleep and physical activity in MS (P for interaction=0.002). Compared to the subjects with high physical activity and healthy sleep, OR (95%CI) of MS with poor sleep and high physical activity was 2.03 (1.24-3.33, P for trend=0.016). Conclusion: Poor sleep quality and lack of physical activity are not only independent risk factors for an increased risk of MS but also have a combined effect with an increased risk of MS.
Male ; Humans ; Adult ; Middle Aged ; Sleep Quality ; Metabolic Syndrome/epidemiology* ; Urban Population ; Cross-Sectional Studies ; Prospective Studies ; Exercise

To explore the relationship between the early or delayed age at natural menopause and metabolic syndrome (MS) in women. A total of 4 734 natural menopausal women who completed the baseline survey from November 2017 to January 2020 in the Guangzhou Middle-aged and Elderly Chronic Disease Prospective Cohort Study were selected in this cross-sectional study. Data on general demographic characteristics, disease history and female physiological health indicators were collected. Logistic regression model and restricted cubic spline curve were used to analyze the relationship between the age at natural menopause and MS. The results showed that the mean age of the subjects was (60±6) years old. The median (Q₁,Q₃) age at natural menopause was 50 (49, 52) years old, and the prevalence of MS was 14.8%(699/4 734). After adjusting for confounders, the age at natural menopause was closely related to MS in an approximate"U"shape. Compared with the group of normal age at natural menopause, the early age at menopause (OR=1.52, 95%CI: 1.12-2.06) and delayed age at menopause (OR=1.77, 95%CI: 1.36-2.30) had a higher risk of MS. In the group with time since menopause ≤6 years and 7-9 years, the risk of MS in the group with delayed age at menopause was 2.40 times (95%CI: 1.54-3.75) and 2.19 times (95%CI: 1.11-4.31) higher than that in the group with normal menopausal age, respectively. In conclusion, the early and delayed age at natural menopause increased the risk of MS. The increased risk of MS in delayed age at natural menopause mainly occurred within 10 years since menopause.
Middle Aged ; Aged ; Female ; Humans ; Child ; Postmenopause ; Metabolic Syndrome/epidemiology* ; Prospective Studies ; Cross-Sectional Studies ; Menopause/physiology* ; Risk Factors