To conduct a comprehensive analysis in Hainan centenarians on the link between sleep status and their blood pressure status. Furthermore, the study also aims to explore how inflammatory indicators may mediate the relationship.

The China Hainan Centenarians Cohort Study (CHCCS) collected baseline data on sleep status, inflammatory indicators, and blood pressure data. The study used a mediation model to investigate how inflammatory indicators mediate the relationship between sleep status and blood pressure status.

In this study, a total of 967 centenarians were included. The prevalence of hypertension among the centenarians was 71.4%. The analysis showed that centenarians with poor sleep quality had a 43% higher risk of hypertension compared to those with normal sleep quality (OR = 1.43, 95% CI: 1.03-1.97). Additionally, centenarians with nighttime sleep durations of ≤ 6 h or > 9 h had higher proportions of high pulse pressure (PP), with OR values of 1.76 (95% CI: 1.18-2.63) and 2.07 (95% CI: 1.34-3.19), respectively. Mediation analysis illustrated that complement C3 played a mediating role in the relationship between sleep quality and hypertension, with an effect ratio of 2.4%. Similarly, lymphocyte count, the neutrophil-to-lymphocyte ratio (NLR), and the systemic immune-inflammation index (SII) were identified as mediating factors in the association between nighttime sleep duration and high PP, with effect ratios of 91.22%, 36.93%, and 0.20%, respectively.

In centenarians, poor sleep quality raises the risk of hypertension, with complement C3 as a mediator. Additionally, nighttime sleep durations of ≤ 6 h or > 9 h increases the risk of high PP, mediated by lymphocyte count, NLR, and SII.

To evaluate the associations of lipid indicators and mortality in Beijing Elderly Comprehensive Health Cohort Study.

A prospective cohort was conducted based on Beijing Elderly Comprehensive Health Cohort Study with 4499 community older adults. After the baseline survey, the last follow-up was March 31, 2021 with an average 8.13 years of follow-up. Cox proportional hazard model was used to estimate the hazard ratios (HR) with 95% CI for cardiovascular disease (CVD) death and all-cause death in associations with baseline lipid indicators.

A total of 4499 participants were recruited, and the mean levels of uric acid, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol (TC), triglyceride, and low-density lipoprotein cholesterol (LDL-C) showed an upward trend with the increasing remnant cholesterol (RC) quarters (P_trend < 0.05), while the downward trend was found in high-density lipoprotein cholesterol (HDL-C). During the total 36,596 person-years follow-up, the CVD mortality and all-cause mortality during an average 8.13 years of follow-up was 3.87% (95% CI: 3.30%–4.43%) and 14.83% (95% CI: 13.79%–15.86%) with 174 CVD death participants and 667 all-cause death participants. After adjusting for confounders, the higher level of TC (HR = 0.854, 95% CI: 0.730–0.997), LDL-C (HR = 0.817, 95% CI: 0.680–0.982) and HDL-C (HR = 0.443, 95% CI: 0.271–0.724) were associated with lower risk of CVD death, and the higher level of HDL-C (HR = 0.637, 95% CI: 0.501–0.810) were associated with lower risk of all-cause death. The higher level of RC (HR = 1.276, 95% CI: 1.010–1.613) increase the risk of CVD death. Compared with the normal lipid group, TC ≥ 6.20 mmol/L group and LDL-C ≥ 4.10 mmol/L group were no longer associated with lower risk of CVD death, while RC ≥ 0.80 mmol/L group was still associated with higher risk of CVD death. In normal lipid group, the higher levels of TC, LDL-C and HDL-C were related with lower CVD death.

In community older adults, higher levels of TC and HDL-C were associated with lower CVD mortality in normal lipid reference range. Higher RC was associated with higher CVD mortality, which may be a better lipid indicator for estimating the CVD death risk in older adults.