AIM:This study aims to explore the association of cumulative exposure to cardiovascular health behaviors and factors with the onset and progression of arterial stiffness.METHODS:In this study, 24,110 participants were examined from the Kailuan cohort, of which 11,527 had undergone at least two brachial-ankle pulse wave velocity (baPWV) measurements. The cumulative exposure to cardiovascular health behaviors and factors (cumCVH) was calculated as the sum of the cumCVH scores between two consecutive physical examinations, multiplied by the time interval between the two. A logistic regression model was constructed to evaluate the association of cumCVH with arterial stiffness. Generalized linear regression models were used to analyze how cumCVH affects baPWV progression. Moreover, a Cox proportional hazards regression model was used to analyze the effect of cumCVH on the risk of arterial stiffness.RESULTS:In this study, participants were divided into four groups, according to quartiles of cumCVH exposure levels, namely, quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4). Logistic regression analysis showed that compared with the Q1 group, the incidence of arterial stiffness in terms of cumCVH among Q2, Q3, and Q4 groups decreased by 16%, 30%, and 39%, respectively. The results of generalized linear regression showed that compared with the Q1 group, the incidence of arterial stiffness in the Q3 and Q4 groups increased by -25.54 and -29.83, respectively. The results of Cox proportional hazards regression showed that compared with the Q1 group, the incidence of arterial stiffness in cumCVH among Q2, Q3, and Q4 groups decreased by 11%, 19%, and 22%, respectively. Sensitivity analyses showed consistency with the main results.CONCLUSIONS:High cumCVH can delay the progression of arterial stiffness and reduce the risk of developing arterial stiffness.

BACKGROUND:No study has concentrated on the association of LE8 with cancer risk and death. We aim to examine the association of LE8 with death and cancer. METHODS:A total of 94733 adults aged 51.42 ± 12.46 years and 77551 participants aged 54.09±12.06 years were enrolled in longitudinal and trajectory analysis respectively. Baseline LE8 was divided into three groups based on the American Heart Association criteria and three trajectory patterns by latent mixture models. We reviewed medical records and clinical examinations to confirm incident cancer during the period from 2006 to 2020. Death information was collected from provincial vital statistics offices. Cox models were used. RESULTS:12807 all-cause deaths and 5060 cancers were documented during a 14-year follow-up. Relative to participants with high LE8 at baseline, participants with lower levels of LE8 have a significantly increased risk of mortality and incident cancer. All these risks have an increasing trend with LE8 level decreasing. Meanwhile, the trajectory analysis recorded 7483 all-cause deaths and 3037 incident cancers after approximately 10 years. The associations of LE8 with death and cancer were identical to the longitudinal study. In the subtype cancer analysis, LE8 has a strong effect on colorectal cancer risk. Moreover, the cut point is 56.67 in the association between LE8 and death, while the cut point altered to 64.79 in the association between LE8 and incident cancers. These associations were enhanced among younger adults. CONCLUSIONS:There was a significant association of LE8 with death and cancer risk, especially for the young population.

Background:The 2017 American College of Cardiology/American Heart Association (ACC/AHA) blood pressure (BP) guideline lowered the threshold defining hypertension to 130/80 mmHg. However, how stage 1 hypertension defined using this guideline is associated with cardiovascular events in Chinese adults remains unclear. This study assessed the association between stage 1 hypertension defined by the 2017 ACC/AHA guideline and clinical outcomes in the Chinese population.Methods:Participants with stage 1 hypertension (n = 69,509) or normal BP (n = 34,142) were followed in this study from 2006/2007 to 2020. Stage 1 hypertension was defined as a systolic blood pressure of 130-139 mmHg or a diastolic blood pressure of 80-89 mmHg. None were taking antihypertensive medication or had a history of myocardial infarction (MI), stroke, or cancer at baseline. The primary outcome was a composite of MI, stroke, and all-cause mortality. The secondary outcomes were individual components of the primary outcome. Cox proportional hazards models were used for the analysis.Results:During a median follow-up of 11.09 years, we observed 10,479 events (MI, n = 995; stroke, n = 3408; all-cause mortality, n = 7094). After multivariable adjustment, the hazard ratios for stage 1 hypertension vs. normal BP were 1.20 (95% confidence interval [CI], 1.13-1.25) for primary outcome, 1.24 (95% CI, 1.05-1.46) for MI, 1.45 (95% CI, 1.33-1.59) for stroke, and 1.11 (95% CI, 1.04-1.17) for all-cause mortality. The hazard ratios for participants with stage 1 hypertension who were prescribed antihypertensive medications compared with those without antihypertensive treatment during the follow-up was 0.90 (95% CI, 0.85-0.96).Conclusions:Using the new definition, Chinese adults with untreated stage 1 hypertension are at higher risk for MI, stroke, and all-cause mortality. This finding may help to validate the new BP classification system in China.

Objective: This study aims to explore the ramifications of weight fluctuations preceding and succeeding the identification of heart failure (HF) on all-cause mortality.Methods: The research cohort comprised individuals engaged in the Kailuan Group's health assessments from 2006 to 2018, who were subsequently diagnosed with HF. The moment of HF recognition marked the commencement of the monitoring period, culminating either at the instance of comprehensive mortality or at the conclusion of the monitoring phase (December 31, 2021).Results: Throughout an average monitoring span of 5.8 +/- 3.5 years, from the 3115 qualified participants, 957 instances (30.7%) encountered comprehensive mortality. The COX proportional hazards regression model's outcomes revealed that, post the adjustment for potential confounders, in comparison to the Q3 category, the Q1 category had the highest hazard ratios (95% confidence intervals) of 1.71 (1.43-2.05).Conclusion: Weight reduction before and post the HF diagnosis stands as an autonomous risk determinant for comprehensive mortality.