Objective:To explore the effects of pre- and post-diagnosis of malignant neoplasms total cholesterol difference on all-cause death in the Kailuan study population.Methods:A prospective cohort study method was used to observe on the job and retired workers who were diagnosed with malignant neoplasms during the healthy physical examination and had the complete data of total cholesterol pre- and post-diagnosis of malignant neoplasms at Kailuan (Group) Limited Liability Corporation from June 2006 to December 2015. Medical insurance system and medical records case management system of Kailuan General Hospital were used to retrieve the confirmed diagnosis time of participants with malignant neoplasms. SAS 9.4 software was used to extract the physical examination data of participants diagnosed as malignant neoplasms before and after 2 years. The whole participants were divided into 4 groups according to the quartile of the total cholesterol difference pre- and post-diagnosis of cancer. The first quartile group: the total cholesterol difference <-0.93 mmol/L (823 cases), the second quartile group: the total cholesterol difference≥-0.93 mmol/L and <-0.21 mmol/L (811 cases), the third quartile group: the total cholesterol difference≥-0.21 mmol/L and <0.49 mmol/L (832 cases), the forth quartile group: the total cholesterol difference≥0.49 mmol/L (833 cases). The incidence density was used to calculate the mortality of different total cholesterol difference quartile groups, and the Cox proportional hazards model was used to analyze the influencing factors of all-cause death of all quartile groups.Results:Totally, 1 564 cases had all-cause death during median 2.46 years of follow-up time. There were 481, 440, 333, 310 death cases respectively of 4 quartile groups. The death rates of all quartile groups were 230.10/1 000 person-years, 163.90/1 000 person-years, 115.34/1 000 person-years, and 83.44/1 000 person-years respectively ( &chi;2 = 604.62, P < 0.001). After adjusting for confounding factors, the Cox proportional hazards model analysis showed that compared with the first quartile group, the hazard ratio with the 95% confidence interval of all-cause death in the second, third, and fourth quartile groups was 0.86 (0.76-0.98), 0.62(0.54-0.72) and 0.58 (0.50-0.67) respectively (all Ptrend < 0.001). After adjusting for confounding factors of patients with cancer in different location, the forth quartile group except for cancer in thyroid, breast, prostate, testis and urinary system, all Ptrend was less than 0.05 compared with that of the first quartile group. Conclusion:Among Kailuan study population, the smaller decline or even rise in total cholesterol level of post-diagnosis compared with that of pre-diagnosis is a protective factor of all-cause death.

Objective:To explore the effect of systolic blood pressure (SBP) trajectories on cancers.Methods:The relevant data of 54, 888 employees of Kailuan (Group) Limited Liability Company who participated in the 3 health examinations from 2006-2007, 2008-2009, 2010-2011 were collected and the new onset cancer cases were recorded. The systolic blood pressure trajectory grouping was carried out using the blood pressure measurement values of the 3 physical examinations. The life table method was used to calculate the incidence of cancer, and the multivariate Cox proportional hazard regression model was used to analyze the influence factors of cancer.Results:According to the systolic blood pressure trajectory, 54, 888 subjects were divided into 5 groups, including 14, 326 in the low-stable group, 25, 630 in the moderate-stable group, 5, 390 in the moderate-increasing group, 6, 438 in the elevated-lowering group, and 3, 104 in the elevated-stable group. A total of 1, 070 new onset cancer occurred during the follow-up period of (4.95±0.53) years. The incidence of cancer in the low-stable group, moderate-stable group, moderate-increasing group, elevated-lowering group and elevated-stable group were 1.3% (177/14, 326), 2.2% (491/25, 360), 3.1% (147/5, 390), 2.7% (156/6, 438) and 3.8% (99/3, 104), respectively, the difference was statistically significant ( P<0.001). After adjusting for gender, age, smoking, drinking, physical exercise, body mass index (BMI), fasting blood glucose, total cholesterol, antihypertensive drugs, hypoglycemic drugs, and lipid-lowering drugs, multivariate Cox regression analysis showed that the systolic blood pressure trajectory was related to the incidence of cancer. Compared with the low-stable group, the Hazard ratio ( HR) in the moderate-stable group, moderate-increasing group, elevated-lowering group and elevated-stable group were 1.413, 1.731, 1.557 and 1.907, respectively (all P<0.001). Conclusion:High systolic blood pressure trajectories is the risk factor for cancer.

Objective:To explore the effect of systolic blood pressure (SBP) trajectories on cancers.Methods:The relevant data of 54, 888 employees of Kailuan (Group) Limited Liability Company who participated in the 3 health examinations from 2006-2007, 2008-2009, 2010-2011 were collected and the new onset cancer cases were recorded. The systolic blood pressure trajectory grouping was carried out using the blood pressure measurement values of the 3 physical examinations. The life table method was used to calculate the incidence of cancer, and the multivariate Cox proportional hazard regression model was used to analyze the influence factors of cancer.Results:According to the systolic blood pressure trajectory, 54, 888 subjects were divided into 5 groups, including 14, 326 in the low-stable group, 25, 630 in the moderate-stable group, 5, 390 in the moderate-increasing group, 6, 438 in the elevated-lowering group, and 3, 104 in the elevated-stable group. A total of 1, 070 new onset cancer occurred during the follow-up period of (4.95±0.53) years. The incidence of cancer in the low-stable group, moderate-stable group, moderate-increasing group, elevated-lowering group and elevated-stable group were 1.3% (177/14, 326), 2.2% (491/25, 360), 3.1% (147/5, 390), 2.7% (156/6, 438) and 3.8% (99/3, 104), respectively, the difference was statistically significant ( P<0.001). After adjusting for gender, age, smoking, drinking, physical exercise, body mass index (BMI), fasting blood glucose, total cholesterol, antihypertensive drugs, hypoglycemic drugs, and lipid-lowering drugs, multivariate Cox regression analysis showed that the systolic blood pressure trajectory was related to the incidence of cancer. Compared with the low-stable group, the Hazard ratio ( HR) in the moderate-stable group, moderate-increasing group, elevated-lowering group and elevated-stable group were 1.413, 1.731, 1.557 and 1.907, respectively (all P<0.001). Conclusion:High systolic blood pressure trajectories is the risk factor for cancer.

Objective: To investigate the association between sleep duration and brachial-ankle pulse wave velocity (baPWV). Methods: A cross-sectional study method was used to observe 38 604 employees of Kailuan Group who participated in the physical examination and the baPWV test from January 2010 to July 2018. The age was (51.6±11.1) years old. There were 72.4% (27 955/38 604) male participants. According to the sleep duration, subjects were divided into 5 groups including ≤ 5 hours group (3 762 cases),>5 hours and ≤6 hours group (9 585 cases),>6 hours and ≤7 hours group (12 604 cases), >7 hours and ≤8 hours group (11 921 cases) and >8 hours group (732 cases). Multivariate logistic regression model was used to analyze the association between sleep duration and the baPWV. Results: The age was (51.6±11.1) years old. There were 72.4% (27 955/38 604) male participants. The prevalence of baPWV≥14 m/s in ≤ 5 hours group, >5 hours and ≤6 hours group, >6 hours and ≤7 hours group, >7 hours and ≤8 hours group, and >8 hours group was 63.5% (2 389/3 762), 58.9% (5 645/9 585), 55.0% (6 926/12 604), 53.3% (6 356/11 921) and 54.8% (401/732) respectively. After adjusting for confounding factors including age, gender, smoking, drinking, physical exercise, snoring, hypertension, diabetes mellitus, dyslipidemia, body mass index≥24 kg/m², mean arterial pressure, heart rate, and C-reactive protein, the multivariate logistic regression analysis showed that the OR were 1.48 (95%CI 1.29-1.70, P<0.01) and 1.18 (95%CI 1.07-1.30, P<0.01) respectively for baPWV≥14 m/s in ≤ 5 hours and >5 hours and ≤6 hours group when compared with >7 hours and ≤ 8 hours group. Conclusion Short sleep duration is associated with elevated baPWV in mid-aged Chinese population.