Objectives:To investigate the impact of baseline non-high-density lipoprotein cholesterol(non-HDL-C)levels on new-onset cardiovascular disease(CVD)in postmenopausal women. Methods:This prospective cohort study selected 8 893 postmenopausal women who participated from 2006 to 2018 employee health examination of Kailuan Group and had complete total cholesterol(TC)and HDL-C data and no history of CVD.Participants were followed up to 31 December,2021.The primary endpoint was the occurrence of CVD or death.According to the Chinese Lipid Management Guidelines(2023),the participants were divided into non-HDL-C<4.1 mmol/L group(n=6 079),4.1 mmol/L≤non-HDL-C<4.9 mmol/L group(n=1 824)and non-HDL-C≥4.9 mmol/L group(n=990).The cumulative incidence of CVD in different groups of non-HDL-C levels was calculated using the Kaplan-Meier method and tested by log-rank analysis.Multivariate Cox regression model was used to analyze the effects of different non-HDL-C levels on CVD. Results:The mean follow-up time was(10.78±4.48)years,the cumulative incidence of CVD in different non-HDL-C level groups was 1.82%,3.24%and 2.89%,respectively.Kaplan-Meier survival curve showed a statistically significant difference in cumulative incidence among the three groups(log-rank P<0.0001).The results of Cox regression analysis showed that after adjusting for confounding factors such as age and sex,the HR(95%CI)values for CVD in the 4.1≤non-HDL-C<4.9 mmol/L group and the non-HDL-C≥4.9 mmol/L group were 1.40(1.13-1.74)and 1.35(1.03-1.78),respectively. Conclusions:High non-HDL-C levels are an independent risk factor for new-onset CVD in postmenopausal women.

Objectives:To investigate the impact of resting heart rate on the risk of all-cause mortality in ultra-high risk atherosclerotic cardiovascular disease(ASCVD)patients. Methods:A total of 3 645 patients with ultra-high risk ASCVD(as defined in the 2023 Chinese Lipid Management Guidelines)were screened from the 2006 to 2020 Kailuan Study cohort,and after excluding 602 patients with missing resting heart rate,3 043 patients were included in the final analysis.Patients were divided into＜68 beats/min group(n=744),68-74 beats/min group(n=786),75-80 beats/min group(n=760),and≥81 beats/min group(n=753)according to the resting heart rate.Cox proportional regression model was used to estimate the hazard ratios(HRs)and 95%CI for all-cause mortality associated with the different resting heart rate groups and every 10 beats/min increase of resting heart rate.The dose-effect relationship of resting heart rate level and all-cause mortality was assessed by a restricted cubic spline regression model.The Kaplan-Meier method was applied to calculate the cumulative all-cause mortality in different groups,and the differences were compared using log-rank test. Results:The median follow-up time was 5.81(3.46,9.64)years,there were 772(25.37%)all-cause deaths during follow up.After adjusting major confounding factors,the results showed that compared with＜68 beats/min group,the risk of all-cause mortality in 75-80 beats/min group and≥81 beats/min group increased by 24%(HR=1.24,95%CI:1.01-1.52,P=0.047)and 47%(HR=1.47,95%CI:1.20-1.81,P＜0.001),respectively;the risk of all-cause mortality in 68-74 beats/min group was similar(HR=1.06,95%CI:0.86-1.31,P=0.625).In addition,an increase of 10 beats/min in resting heart rate was associated with a 13%increase in the risk of all-cause mortality(HR=1.13,95%CI:1.07-1.19,P＜0.001).In stratified analyses,it was found that for every 10 beats/min increase in resting heart rate,women faced a higher risk of all-cause mortality than men,and patients＜65 years old faced a higher risk of all-cause mortality than patients≥65 years old.The restricted cubic spline analysis also showed that resting heart rate was linearly associated with the risk of all-cause mortality(Poverall＜0.001,Pnon-linear=0.933),and the risk increased significantly with resting heart rate＞70 beats/min. Conclusions:Increased resting heart rate is linearly associated with increased risk of all-cause mortality in patients with ultra-high risk ASCVD.The appropriate intervention cut-off point of resting heart rate for ultra-high risk ASCVD patients may be＞75 beats/min.

Objective:To analyze the changes of fasting plasma glucose(FPG)level before and after menopause.Methods:Kailuan health checkup cohort was used to extract data of women aged≥18 years who participated in the first physical examination of Kailuan physical examination cohort and had menopausal age at the end of the seventh physical examination. A total of 3 749 women with 22 057 physical examination records were included in the analysis. Natural logarithmic transformation was applied to FPG, and a segmented linear mixed-effects model was used to analyze the changes in ln-transformed FPG before and after menopause. Additionally, an interaction analysis was performed to assess the multiplicative effect of baseline age and baseline body mass index(BMI)on ln-transformed FPG concerning pre- and post-menopausal periods.Results:The average age of the first physical examination for women in this study was (45.63±4.52)years, the median menopausal age was 51(50~53)years, and the median number of physical examinations was 6(5~7)times. The results of the piecewise linear mixed effect model showed that lnFPG increased from 1 year before menopause, with an average annual increase of 0.021 mmol/L, and continued to increase from menopause to 5 years after menopause, with an average annual increase of 0.007 mmol/L. LnFPG tended to be stable after 5 years of menopause. Baseline age could affect the changes of lnFPG before and after menopause, and there was a negative multiplicative interaction between baseline age ≥45 years and the time period from 6 years to 1 year before menopause( P=0.032). Women with baseline age ≥45 years had a higher average annual increase in lnFPG from 1 year before menopause to 5 years after menopause than women with baseline age <45 years( P<0.05). On lnFPG, there was a positive multiplicative interaction between baseline BMI and time segments around menopause. Compared to women with BMI <24.0 kg/m 2, obese women displayed more annual increase in lnFPG from 6 years to 1 year before menopause as well as from menopause to 5 years after menopause( P<0.05). Conclusions:Menopause has an adverse impact on FPG, with the most significant changes occurring within the period of one year before menopause and up to five years after menopause. Age and BMI significantly influence the changes in FPG before and after menopause.

Objective:To investigate the impact of non-high-density lipoprotein cholesterol (non-HDL-C) level on major adverse cardiovascular and cerebrovascular events (MACCE) and all-cause mortality in the Kailuan Study cohort undergoing revascularization.Methods:This is a prospective cohort study, with participants from the Kailuan Study cohort who participated in physical examinations from 2006 to 2020 and received revascularization therapy for the first time. According to the level of non-HDL-C, the study subjects were divided into 3 groups:<2.6 mmol/L group, 2.6-<3.4 mmol/L group, and≥3.4 mmol/L group. Annual follow-up was performed, and the endpoint events were MACCE and all-cause mortality. Cox proportional regression model was implemented to estimate the impact on MACCE and all-cause mortality associated with the different non-HDL-C groups. The partial distributed risk model was used to analyze the impact of different non-HDL-C levels on MACCE event subtypes, and death was regarded as a competitive event. The restricted cubic spline regression model was used to explore the dose-response relationship between non-HDL-C level and all-cause mortality, MACCE and its subtypes.Results:A total of 2 252 subjects were enrolled in the study, including 2 019 males (89.65%), aged (62.8±8.3) years, the follow-up time was 5.72 (3.18, 8.46) years. There were 384 cases(17.05%) of MACCE and 157 cases(6.97%) of all-cause mortality. Compared with patients with non-HDL-C≥3.4 mmol/L, patients with non-HDL-C<2.6 mmol/L were associated with a 38% reduced risk of MACCE after revascularization [ HR=0.62(95% CI: 0.48-0.80)]. Every 1 mmol/L decrease in non-HDL-C was associated with a 20% reduction in the risk of MACCE [ HR=0.80(95% CI: 0.73-0.88)]. The results of restricted cubic spline also showed that non-HDL-C levels after revascularization therapy were positively correlated with MACCE events (overall association P<0.001, non-linear association P=0.808). For all-cause mortality, compared to the non-HDL-C≥3.4 mmol/L group, the HR for all-cause mortality after revascularization in non-HDL-C<2.6 mmol/L group was 0.67(95% CI: 0.46-1.01). Every 1 mmol/L decrease in non-HDL-C was associated with a 15% reduction in the risk of all-cause mortality [ HR=0.85(95% CI: 0.73-0.99)]. The restricted cubic spline results showed a linear association between non-HDL-C levels after revascularization therapy and the risk of all-cause mortality (overall association P=0.039, non-linear association P=0.174). Conclusion:The decrease in non-HDL-C levels after revascularization were significantly associated with a reduced risk of MACCE and all-cause mortality.

Objectives:To investigate the association of trajectories of atherogenic index of plasma(AIP)with the risk of atherosclerotic cardiovascular disease(ASCVD). Methods:A total of 51 831 employees and retirees who participated in Kailuan Group health examination for three consecutive times from 2006 to 2010 were included in this study.AIP was calculated using the log(triglycerides[TG]/high-density lipoprotein-cholesterol[HDL-C])formula.AIP trajectory models were fitted by the SAS Proc Traj program,and according to AIP trajectory,the subjects were divided into low stability group(n=11 114),low to moderate stability group(n=21 647),medium to high stability group(n=13 659),and high stability group(n=5 411).Kaplan-Meier method was used to calculate the cumulative incidence of ASCVD in different groups and compared by log-rank test.Cox proportional risk regression model was used to analyze the effects of different AIP trajectories on ASCVD risk. Results:Finally,51 831 patients were included in the analysis.During a mean follow-up of(10.19±2.22)years,5 142(9.92%)subjects developed ASCVD,4 013(7.74%)subjects died.Cox regression analysis after adjusting for confounding factors showed:compared with the low stability group,the risk of ASCVD increased by 13%(HR=1.13,95%CI:1.04-1.23,P=0.003)and 20%(HR=1.20,95%CI:1.10-1.31,P＜0.001)and 41%(HR=1.41,95%CI:1.27-1.57,P＜0.001)in the low to moderate stability group,moderate to high stability group and high stability group,respectively,and the risk increased gradually(Ptrend＜0.001).Stratified analysis showed that the risk of ASCVD in people aged＜65 years and low-density lipoprotein cholesterol(LDL-C)＜3.4 mmol/L with long-term high levels of AIP was higher than that in people aged≥65 years and LDL-C≥3.4 mmol/L(both Pinteraction＜0.01). Conclusions:In Kailuan Study cohort,those with long-term high levels of AIP had a higher risk of ASCVD,and the risk gradually increased.In addition,we found that the risk of ASCVD in people with long-term high levels of AIP was higher in＜65 years old than in≥65 years old,and the risk of ASCVD in people with LDL-C＜3.4 mmol/L was higher than that in people with LDL-C≥3.4 mmol/L.

Objectives:To investigate the association between normal-weight central obesity with new-onset cardiovascular disease and all-cause mortality risk. Methods:A prospective cohort study was conducted,selecting a total of 93885 participants from the Kailuan Study who had their first physical examination in 2006-2007.According to waist circumference (central obesity:male waist circumference ≥90 cm,female waist circumference ≥85 cm;no central obesity:male waist circumference<90 cm,female waist circumference<85 cm) and body mass index (BMI,normal weight:18.5 kg/m2≤BMI<24.0 kg/m2;overweight/obesity:BMI ≥24.0 kg/m2),the participants were divided into 4 groups:normal weight no central obesity group (G1 group),normal weight central obesity group (G2 group),overweight/obesity no central obesity group (G3 group) and overweight/central obesity group (G4 group);Using the Kaplan-Meier method,the cumulative incidence of new-onset cardiovascular diseases (including hemorrhagic stroke,ischemic stroke and myocardial infarction) and all-cause mortality in different groups was calculated,and the Log-rank test was used for intergroup comparisons.Furthermore,the associations between the different groups and the risk of new-onset cardiovascular diseases and all-cause mortality were analyzed using the multivariate Cox proportional hazard regression model. Results:After a median follow-up of 14.97 (14.55,15.17) years,the cumulative incidence of new-onset cardiovascular diseases in G1 group,G2 group,G3 group and G4 group was 7.62％,10.84％,8.67％,12.91％ respectively (log-rank P<0.05) and the cumulative incidence of all-cause mortality was 12.83％,19.72％,10.65％,16.33％ respectively (log-rank P<0.01).After adjusting for confounding factors,Cox regression analysis showed that the HR (95％CI) of new-onset cardiovascular diseases in G2 group,G3 group and G4 group were 1.14 (1.04-1.25),1.07 (1.01-1.14),1.27 (1.21-1.34),respectively compared with G1 group (all P<0.05).The HR (95％CI) of all-cause mortality were 1.06 (1.00-1.14),0.90 (0.85-0.95),0.97 (0.93-1.01) compared with G1 group,and P values were 0.07,<0.01,0.15,respectively.The results of sensitivity analysis were consistent with the above major studies after excluding overweight/obesity and cancer participants during follow-up. Conclusions:Normal-weight central obesity increases the risk of new-onset cardiovascular diseases and all-cause mortality.

Objective To investigate the correlations of triglyceride glucose index(TyG)levels at different baselines with the risk of new-onset acute pancreatitis(AP)among the workers at Kailuan Group.Methods A total of 124 516 subjects were enrolled from 2006 to 2009 and followed up by health examinations of the workers in the group.The subjects with a history of AP or incomplete information on TG and FPG data were excluded.The cumulative incidence rate was determined by Log-Rank method.Multivariate Cox proportional hazards regression model was used to calculate hazard ratios(HR)for AP related to baseline TyG level after adjusting for the effects of multiple confunding factors.Results The subjects were divided into four groups(TyG≤6.59,6.597.46)according to the TyG levels,and the incidence of new-onset AP was observed in all the groups.For a follow-up of(12.59±0.98)years,399 cases of AP were observed.The corresponding incidence of AP in each tertile was 1.67,2.32,2.53,and 3.65 events per 10,000 person-years,respectively.After Cox analysis and correction of multiple confounding factors,the risk of AP incidence was increased in the TyG>7.46 group,with an HR of 1.94[(95%CI(1.42,2.65),P<0.01].Conclusion TyG at its baseline of above 7.46 can increase the risk of AP.

Background The prevalence of osteoporosis and osteopenia is higher among underground coal miners than surface workers. The special underground work environment and unhealthy habits such as smoking, drinking, and a high-salt diet may lead to changes in bone metabolism, increasing the risk of fragility fractures and placing a heavy economic burden on individuals and society. Objective To identify potential factors influencing fragility fractures among coal miners in different working environments and to provide a basis for targeted preventive measures to reduce the occurrence of fragility fractures. Methods Male participants who attended at least one of the physical examinations in Kailuan Group between June 2006 and December 2020 were included in the study. The participants were divided into two groups based on their working environment: surface or underground. A case-control study was conducted, where patients with new fragility fractures served as the case group and participants without fragility fractures served as the control group. The two groups were matched with a case:control ratio of 1:4 by age (±1 year) and the same year of physical examination. The matching process was repeated twice, once for the surface working population and once for the underground working population. The analysis of risk factors was conducted using conditional logistic regression models. Results Among a total of 113138 employees in Kailuan Group, 82631 surface workers and 30507 underground workers were included, respectively. The number of individuals who suffered fragility fractures was 1375, accounting for 1.22% of the total population. The incidence of fragility fractures in underground workers was significantly higher than that in surface workers (1.63%>1.07%, P<0.001). The results of conditional logistic regression model showed that current smoking (OR=1.26, 95%CI: 1.05, 1.51), manual labor (OR=1.37, 95%CI: 1.06, 1.78), diabetes (OR=1.26, 95%CI: 1.04, 1.54), sinus tachycardia (OR=1.81, 95%CI: 1.23, 2.66), history of stroke (OR=1.51, 95%CI: 1.09, 2.09), education at college and above (OR=0.65, 95%CI: 0.45, 0.95), high income level (OR=0.69, 95%CI: 0.54, 0.90), elevated hemoglobin (OR=0.91, 95%CI: 0.85, 0.98), and elevated total cholesterol (OR=0.90, 95%CI: 0.82, 0.99) were associated with fragility fractures in the surface working population of coal mines; current smoking (OR=1.48, 95%CI: 1.17, 1.87), current drinking (OR=1.26, 95%CI: 1.01, 1.56), manual labor (OR=2.64, 95%CI: 1.41, 4.94), history of dust exposure (OR=1.28, 95%CI: 1.03, 1.58), and obesity (OR=0.72, 95%CI: 0.52, 0.96) were associated with fragility fractures in the underground working population of coal mines. Conclusion In preventing fragility fractures, special attention should be paid to the bone health of underground workers engaged in manual labor or having a history of dust exposure. It is important to correct their unhealthy behaviors in a timely manner, such as smoking and drinking, and to appropriately increase body weight to prevent fragility fractures. For surface workers, particular attention should be given to the high-risk group for fragility fractures, such as low family income per capita, manual labor, and having a history of stroke or diabetes; in addition, close monitoring of their resting heart rate, hemoglobin levels, and total cholesterol levels may help prevent fragility fractures.

Objectives:To explore the association between different blood pressure levels at baseline and early-onset heart disease among young adults under 40 years in China. Methods:This prospective cohort study included 35 993 subjects who participated in the physical examination of the employees of Kailuan Group for the first time from 2006 to 2012 and were younger than 40 years,with complete blood pressure data and had no history of heart disease.Participants were followed up to the end of 2021.The primary endpoint was early-onset heart disease(including coronary heart disease,atrial fibrillation,and heart failure).According to 2018 Chinese guidelines for the management of hypertension,the participants were divided into four groups:normal blood pressure group(n=13 208),elevated blood pressure group(n=16 576),stage 1 hypertension group(n=4 357),and stage 2-3 hypertension group(n=1 852).The cumulative incidence of heart disease among participants with different blood pressure levels at baseline was compared using log-rank test.Multivariate Cox proportional hazard regression model was used to analyze the impact of different blood pressure levels at baseline on early-onset heart disease in this cohort. Results:After a mean follow-up of(12.5±2.6)years,the cumulative incidence of early-onset heart disease in normal blood pressure group,elevated blood pressure group,stage 1 hypertension group,stage 2-3 hypertension group were 0.47%,0.97%,3.56%and 4.42%respectively(log-rank P<0.01).After adjusting for confounding factors such as age and sex,Cox regression analysis showed that the HR(95%CI)of heart disease in the elevated blood pressure group,hypertension grade 1 group and hypertension grade 2-3 group were 1.59(1.12-2.24),2.08(1.41-3.08)and 3.20(2.11-4.85)(all P<0.01),respectively,compared with the normal blood pressure group. Conclusions:Elevated blood pressure is a risk factor for early-onset heart disease among young Chinese population.