BACKGROUND: Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization. METHODS: Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality. RESULTS: Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases. CONCLUSION In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Life Style ; Pneumonia/etiology* ; Prognosis ; Risk Factors ; Smoking

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: Cardiovascular disease (CVD) is the predominant cause of mortality in China. However, the mechanisms linking sarcopenia to CVD remain poorly understood, particularly in normal-weight populations. Individuals with the absence of overweight or obesity may tend to experience missed opportunities for timely intervention. This study aimed to investigate the longitudinal association between sarcopenia and incidence of new-onset CVD in a normal-weight population, and to examine the mediating effect of functional limitation in this relationship. METHODS: We conducted a closed-cohort analysis using a nationwide sample of 4,147 middle-aged and older adults with normal weight in China. We performed Cox proportional hazards regression analysis to explore the associations of baseline sarcopenia with incident CVD. The difference method was applied to estimate the mediation proportion of functional limitation in this association. RESULTS: Over a mean follow-up period of 7.62 years, CVD occurred in 835 participants. In the multivariable-adjusted Cox model, individuals with sarcopenia exhibited a significantly higher likelihood of developing incident CVD compared to those without sarcopenia (adjusted hazard ratio [aHR] = 1.45, 95% confidence interval [CI]: 1.21-1.73, P < 0.001). Similar associations were observed for the incidence of heart disease and stroke. Functional limitation accounted for approximately 15.0% of the total effect of sarcopenia on incident CVD (P < 0.001). CONCLUSIONS Sarcopenia exerts both direct and indirect effects on incident CVD among middle-aged and older adults who are normal weight, with functional limitation serving as a significant mediator. Interventions targeting both sarcopenia and functional limitation may offer a promising strategy for enhancing cardiovascular health in this population.
Humans ; Sarcopenia/complications* ; China/epidemiology* ; Male ; Female ; Middle Aged ; Cardiovascular Diseases/etiology* ; Aged ; Incidence ; Cohort Studies ; Proportional Hazards Models ; Risk Factors ; Aged, 80 and over ; Longitudinal Studies

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

OBJECTIVE: This study aimed to explore the association between humidity exposure and the risk of cardiovascular disease (CVD), utilizing follow-up data and relative humidity (RH) metric assessments. METHODS: We extracted the baseline data from the China Hypertension Survey (CHS) of 24,510 enrolled participants aged ≥ 35 years without a history of CVD between 2012 and 2015 and followed them up from 2018 to 2019. The National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) provided the quality-controlled relative humidity (RH) datasets. Cox proportional hazards models were used to estimate hazard ratios ( HRs) for CVD in relation to RH. RESULTS: During the follow-up period (2018-2019), 973 patients with CVD were identified. The HR of CVD risk was 1.17 (95% CI: 1.04-1.31) per 10% increase in summer mean RH. Compared with participants in the 3 ^rd quintile group, those in the 1 ^st and 5 ^th quintiles of RH had a higher risk of CVD. For summer mean RH, the HRs (95% CIs) for the 1 ^st and 5 ^th quintiles were 1.34 (1.04-1.71) and 1.44 (1.14-1.83), respectively. The relationship ("U" shape) between summer mean RH and the risk of CVD was nonlinear. Stratified analyses indicated that the risk of CVD was substantially influenced by the summer mean RH in female, older individuals, and those in southern China. CONCLUSION Unsuitable (too high or low) humidity environments affect the risk of CVD. Our study highlights those future policies for adapting to climate change should consider the humidity-CVD relationship.
Humans ; Humidity/adverse effects* ; Cardiovascular Diseases/etiology* ; Female ; Male ; Middle Aged ; Prospective Studies ; China/epidemiology* ; Adult ; Aged ; Risk Factors ; Proportional Hazards Models ; Seasons

BACKGROUND: Sex- and age-specific impacts of cardiovascular risk factors on the development of dementia have not been well evaluated. We investigated these impacts of smoking, overweight/obesity, hypertension, and diabetes mellitus on the risk of disabling dementia. METHODS: The study participants were 25,029 (10,134 men and 14,895 women) Japanese aged 40-74 years without disabling dementia at baseline (2008-2013). They were assessed on smoking status (non-current or current), overweight/obesity (body mass index ≥25 kg/m² and ≥30 kg/m², respectively), hypertension (systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg or any antihypertensive medication use), and diabetes mellitus (a fasting serum glucose ≥126 mg/dL, non-fasting glucose ≥200 mg/dL, hemoglobin A1c ≥6.5% by the National Glycohemoglobin Standardization Program or glucose-lowering medication use) at baseline. Disabling dementia was identified as the level of care required ≥1 and cognitive disability grade ≥IIa according to the National Long-term Care Insurance Database. We used a Cox proportional regression model to estimate hazard ratios and 95% confidence intervals (95% CIs) of disabling dementia according to the cardiovascular risk factors and calculated the population attributable fractions (PAFs). RESULTS: During a median follow-up of 9.1 years, 1,322 (606 men and 716 women) developed disabling dementia. Current smoking and hypertension were associated with a higher risk of disabling dementia in both sexes, whereas overweight or obesity was not associated with the risk in either sex. Diabetes mellitus was associated with a higher risk only in women (p for sex interaction = 0.04). The significant PAFs were 13% for smoking and 14% for hypertension in men and 3% for smoking, 12% for hypertension, and 5% for diabetes mellitus in women. The total PAFs of the significant risk factors were 28% in men and 20% in women. When stratified by age, hypertension in midlife (40-64 years) was associated with the increased risk in men, while diabetes mellitus in later-life (65-74 years) was so in women. CONCLUSIONS A substantial burden of disabling dementia was attributable to smoking, and hypertension in both sexes and diabetes mellitus in women, which may require the management of these cardiovascular risk factors to prevent dementia.
Male ; Humans ; Female ; Adult ; Middle Aged ; Overweight/complications* ; East Asian People ; Cardiovascular Diseases/epidemiology* ; Hypertension/etiology* ; Diabetes Mellitus/etiology* ; Obesity/etiology* ; Smoking/epidemiology* ; Risk Factors ; Age Factors ; Dementia/etiology*

BACKGROUND: Previous cardiovascular risk prediction models in Japan have utilized prospective cohort studies with concise data. As the health information including health check-up records and administrative claims becomes digitalized and publicly available, application of large datasets based on such real-world data can achieve prediction accuracy and support social implementation of cardiovascular disease risk prediction models in preventive and clinical practice. In this study, classical regression and machine learning methods were explored to develop ischemic heart disease (IHD) and stroke prognostic models using real-world data. METHODS: IQVIA Japan Claims Database was searched to include 691,160 individuals (predominantly corporate employees and their families working in secondary and tertiary industries) with at least one annual health check-up record during the identification period (April 2013-December 2018). The primary outcome of the study was the first recorded IHD or stroke event. Predictors were annual health check-up records at the index year-month, comprising demographic characteristics, laboratory tests, and questionnaire features. Four prediction models (Cox, Elnet-Cox, XGBoost, and Ensemble) were assessed in the present study to develop a cardiovascular disease risk prediction model for Japan. RESULTS: The analysis cohort consisted of 572,971 invididuals. All prediction models showed similarly good performance. The Harrell's C-index was close to 0.9 for all IHD models, and above 0.7 for stroke models. In IHD models, age, sex, high-density lipoprotein, low-density lipoprotein, cholesterol, and systolic blood pressure had higher importance, while in stroke models systolic blood pressure and age had higher importance. CONCLUSION Our study analyzed classical regression and machine learning algorithms to develop cardiovascular disease risk prediction models for IHD and stroke in Japan that can be applied to practical use in a large population with predictive accuracy.
Humans ; Cardiovascular Diseases/epidemiology* ; Prognosis ; Prospective Studies ; Japan/epidemiology* ; Stroke/etiology* ; Myocardial Ischemia/epidemiology* ; Risk Assessment/methods*

OBJECTIVE: The main aim of this study is to investigate whether acupuncture could be an effective complementary treatment for reducing the risk of macrovascular complications in diabetic patients currently taking antidiabetic medications using a nationwide population-based database. METHODS: We conducted a retrospective cohort study to assess the efficacy of acupuncture on cardiovascular complications in diabetic patients using data from patients between 40 and 79 years of age, newly diagnosed with diabetes between 2003 and 2006, found in the National Health Insurance Service-National Sample Cohort (NHIS-NSC) in Korea. From the data, we identified 21,232 diabetic patients who were taking antidiabetic medication between 2003 and 2006. The selected patients were divided into two groups-those who received acupuncture at least three times and those who received no acupuncture (non-acupuncture) in the year following their diagnosis of diabetes. After 1:1 propensity score matching (PSM), each group had 3350 patients, and the observation ceased at the occurrence of a major adverse cardiovascular event (MACE), which was defined as either myocardial infarction, stroke, or death due to cardiovascular cause. RESULTS: After PSM, the acupuncture group had a lower incidence of MACE (hazard ratio [HR]: 0.87; 95% confidence interval [CI]: 0.81-0.94; P = 0.0003) and all-cause mortality (HR: 0.77; 95% CI: 0.70-0.84; P < 0.0001) than the non-acupuncture group; the HRs for stroke-related mortality (HR: 0.75; 95% CI: 0.56-1.00; P = 0.0485), ischemic heart disease mortality (HR: 0.53; 95% CI: 0.34-0.84; P = 0.006) and circulatory system disease mortality (HR: 0.67; 95% CI: 0.55-0.82; P < 0.0001) were lower in the acupuncture group than in the non-acupuncture group in the secondary analysis. CONCLUSION Our results indicate that diabetic patients receiving acupuncture treatment might have a lower risk of MACE, all-cause mortality and cardiovascular mortality. This population-based retrospective study suggests beneficial effects of acupuncture in preventing macrovascular complications associated with diabetes. These findings call for further prospective cohort or experimental studies on acupuncture treatment for cardiovascular complications of diabetes. Please cite this article as: Jung H, Won T, Kim GY, Jang J, Yeo S, Lim S. Efficacy of acupuncture on cardiovascular complications in patients with diabetes mellitus in Korea: A nationwide retrospective cohort. J Integr Med. 2023; 21(2): 176-183.
Humans ; Retrospective Studies ; Cardiovascular Diseases/etiology* ; Diabetes Mellitus, Type 2/drug therapy* ; Hypoglycemic Agents/therapeutic use* ; Stroke/complications* ; Acupuncture Therapy ; Republic of Korea/epidemiology*

OBJECTIVE: To develop and validate a three-year risk prediction model for new-onset cardiovascular diseases (CVD) among female patients with breast cancer. METHODS: Based on the data from Inner Mongolia Regional Healthcare Information Platform, female breast cancer patients over 18 years old who had received anti-tumor treatments were included. The candidate predictors were selected by Lasso regression after being included according to the results of the multivariate Fine & Gray model. Cox proportional hazard model, Logistic regression model, Fine & Gray model, random forest model, and XGBoost model were trained on the training set, and the model performance was evaluated on the testing set. The discrimination was evaluated by the area under the curve (AUC) of the receiver operator characteristic curve (ROC), and the calibration was evaluated by the calibration curve. RESULTS: A total of 19 325 breast cancer patients were identified, with an average age of (52.76±10.44) years. The median follow-up was 1.18 [interquartile range (IQR): 2.71] years. In the study, 7 856 patients (40.65%) developed CVD within 3 years after the diagnosis of breast cancer. The final selected variables included age at diagnosis of breast cancer, gross domestic product (GDP) of residence, tumor stage, history of hypertension, ischemic heart disease, and cerebrovascular disease, type of surgery, type of chemotherapy and radiotherapy. In terms of model discrimination, when not considering survival time, the AUC of the XGBoost model was significantly higher than that of the random forest model [0.660 (95%CI: 0.644-0.675) vs. 0.608 (95%CI: 0.591-0.624), P < 0.001] and Logistic regression model [0.609 (95%CI: 0.593-0.625), P < 0.001]. The Logistic regression model and the XGBoost model showed better calibration. When considering survival time, Cox proportional hazard model and Fine & Gray model showed no significant difference for AUC [0.600 (95%CI: 0.584-0.616) vs. 0.615 (95%CI: 0.599-0.631), P=0.188], but Fine & Gray model showed better calibration. CONCLUSION It is feasible to develop a risk prediction model for new-onset CVD of breast cancer based on regional medical data in China. When not considering survival time, the XGBoost model and the Logistic regression model both showed better performance; Fine & Gray model showed better performance in consideration of survival time.
Humans ; Female ; Adult ; Middle Aged ; Adolescent ; Breast Neoplasms/epidemiology* ; Cardiovascular Diseases/etiology* ; Proportional Hazards Models ; Logistic Models ; China/epidemiology*

OBJECTIVE: This study aims to investigate the association of metabolic phenotypes that are jointly determined by body mass index (BMI) or fat mass percentage and metabolic health status with the ten-year risk of cardiovascular disease (CVD) among Chinese adults. METHODS: Data were obtained from a cross-sectional study. BMI and body fat mass percentage (FMP) combined with the metabolic status were used to define metabolic phenotypes. Multiple linear regression and logistic regression were used to examine the effects of metabolic phenotypes on CVD risk. RESULTS: A total of 13,239 adults aged 34-75 years were included in this study. Compared with the metabolically healthy non-obese (MHNO) phenotype, the metabolically unhealthy non-obese (MUNO) and metabolically unhealthy obese (MUO) phenotypes defined by BMI showed a higher CVD risk [odds ratio, OR (95% confidence interval, CI): 2.34 (1.89-2.89), 3.45 (2.50-4.75), respectively], after adjusting for the covariates. The MUNO and MUO phenotypes defined by FMP showed a higher CVD risk [ OR (95% CI): 2.31 (1.85-2.88), 2.63 (1.98-3.48), respectively] than the MHNO phenotype. The metabolically healthy obese phenotype, regardless of being defined by BMI or FMP, showed no CVD risk compared with the MHNO phenotype. CONCLUSION General obesity without central obesity does not increase CVD risk in metabolically healthy individuals. FMP might be a more meaningful factor for the evaluation of the association of obesity with CVD risk. Obesity and metabolic status have a synergistic effect on CVD risk.
Adipose Tissue/anatomy & histology* ; Adult ; Aged ; Body Mass Index ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Humans ; Male ; Metabolic Diseases/etiology* ; Middle Aged ; Obesity/complications* ; Phenotype ; Regression Analysis ; Risk Factors