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Cardiometabolic diseases (CMDs) increases the risk of cognitive decline, but the extent to which this can be offset by adherence to an active integrated lifestyle is unknown. This prospective study used the baseline and 2-year follow-up data of 2537 dementia-free elderly ≥60 from PINDEC Project. Lifestyle factors (including physical exercise, social interaction, leisure activities, sleep quality, smoking, and alcohol consumption) were collected and the integrated score was calculated. Participants were divided into three groups based on integrated score tertiles (inactive, ≤3 score; intermediate, 4 score; and active, ≥5). Logistic regression was used in data analysis. 35.2 % participants had 5–6 healthy components, while only 5.4 % had all 6 healthy lifestyles. The multiadjusted odds ratios (ORs, 95 % confidence interval) of early cognitive decline was 1.223 (0.799–1.871) and 1.832 (1.140–2.943) for participants with only one CMD and any two or more CMDs, respectively. An inverse dose-response relationship was found between lifestyle scores and early cognitive decline (P trend = 0.017). In participants with active lifestyle, the OR for early cognitive decline comparing the CMDs status of any two or more CMDs vs. CMDs-free was 0.778 (95%CI: 0.302–2.007). Participants with inactive lifestyle and any two or more CMDs had a near 3.4-fold increased risk of early cognitive decline than those without CMDs who had intermediate to active lifestyle (OR = 3.422, 95%CI: 1.764–6.638). Our research lacks information about nutrition. A dose–response relationship exists between CMDs status and risk of early cognitive decline. However, adherence to an active integrated lifestyle may mitigate this risk. • Lifestyle played a moderating roleon the association between CMDs status and early cognitive decline among older adults. • The association between CMDs status and early cognitive decline was attenuated in older adults with active lifestyle. • Medical staff should focus on raising awareness of the importance of brain-health-related healthy lifestyles in older adults. [ABSTRACT FROM AUTHOR]

Objectives This study aimed to analyze the association between sleep quality, sleep duration, and cognitive functions among centenarians. Methods The baseline data of the China Hainan Centenarians Cohort Study served as the foundation for this study. Logistic regression was utilized to demonstrate the relationship between sleep status and cognitive impairment. Moreover, a canonical correlation analysis was performed to analyze the correlation between these variables. Results A total of 994 centenarians were included. After adjustment, poor sleep quality centenarians had an odds ratio of 1.77 (95% confidence interval [CI]: 1.00–3.09) for cognitive impairment when compared to centenarians with normal sleep quality. Centenarians who slept for more than 9 hr had a stronger association with severe cognitive impairment, indicated by an odds ratio of 1.41 (95% CI: 1.02–1.96), compared to those who slept for 7–9 hr. Additionally, the canonical correlation analysis results revealed that the linear combination of sleep quality V1, primarily determined by sleep latency, daytime dysfunction, and subjective sleep quality, was associated with cognitive function; the linear combination of cognitive function W1, mainly determined by orientation, attention and calculation, and memory. Discussion There exists a correlation between poor sleep quality and cognitive impairment in centenarians, as well as a correlation between sleep duration >9 hr at night and severe cognitive impairment. The primary cognitive domains associated with sleep quality are orientation, calculation, and memory. It is imperative to monitor and safeguard the cognitive functions linked to poor sleep quality in the older individuals, with attention to orientation, calculation, and memory. [ABSTRACT FROM AUTHOR]

The objective of this study is to analyze the association between sleep quality, sleep duration, sleep patterns, and depressive states among centenarians due to the crucial impact of depression on the well-being of elderly individuals, particularly the oldest. Recognizing easily identifiable manifestations and risk factors is essential since the onset of depressive states tends to be insidious. The baseline data from the China Hainan Centenarians Cohort Study (CHCCS) served as the basis for this study. Questionnaire surveys were conducted to obtain research indicators, with depressive states evaluated using the GDS-15 scale and sleep quality evaluated using the Pittsburgh Sleep Quality Index (PSQI). Logistic regression was employed to describe the association between sleep status and depressive states. A total of 994 centenarians, with an age range of 100–116 years and a mean age of 102.77 ± 2.75 years, were included in this study. Among these participants, 815 were female, accounting for 82.0 %. After adjustment, the odds ratio (OR) for the association between poor sleep quality and depressive states was 2.07 (95 % CI: 1.54–2.77) compared to those with normal sleep quality. Additionally, there were associations between depressive states and both nighttime sleep duration and total sleep duration. After adjustment, the strongest association between depressive state and sleep patterns was found for those who had >9 h of nighttime sleep and ≥2 h of daytime sleep (OR = 1.80, 95%CI: 1.02–3.16). Moreover, compared to centenarians with 7–9 h of sleep duration and good sleep quality, the highest odds ratio (OR = 3.44, 95%CI: 2.18–5.43) for the association between depressive states and sleep duration ≤7 h and poor sleep quality was observed. The findings of this study indicate that there is an association between poor sleep quality and depressive states in centenarians. Furthermore, both sleep quality and long/short total sleep duration are associated with depressive states in this population. Therefore, special attention should be given to the psychological state of elderly individuals with short sleep duration and poor sleep quality in order to prevent depression and minimize its negative impact on their overall health. • This is a study of a large sample centenarians in China, Hainan. • Analyzed the association between sleep quality, sleep duration, sleep patterns, and depressive states among centenarians. • There was an association between poor sleep quality and depressive states in centenarians. • Both sleep quality and long/short total sleep duration were associated with depressive states in centenarians. • Gender differences in the association between nighttime sleep duration and depressive state exist. [ABSTRACT FROM AUTHOR]

Background: Although hypoalbuminemia was associated with high risk of mortality in community-dwelling older adults, as well as in the hospitalized older adults, little is known among centenarians. And there are limited data on whether having cardiometabolic diseases (CMDs) is associated with additive effects. Methods: Baseline examinations including a determination of albumin levels were performed in 1002 Chinese centenarians from January 2014 through to December 2016, and the survival status was subsequently ascertained until 31 May 2021. Cox proportional risk model was performed to assess the risk of all-cause mortality associated with albumin levels and hypoalbuminemia combined with CMDs. Results: Of 1002 participants included in the analysis, the mean level of albumin was 38.5 g/L (± standard deviation, 4.0 g/L), and 174 (17.4%) had hypoalbuminemia (albumin < 35 g/L). The multivariable analyses showed that albumin level was negatively associated with all-cause mortality (Ptrend < 0.05). Compared to normoalbuminemia, hypoalbuminemia was associated with an increased mortality risk in the overall participants (hazard ratio [HR]: 1.55, 95% confidence interval [CI]: 1.22–1.97). Furthermore, the HR (95% CI) of hypoalbuminemia combined with multiple CMDs was 2.15 (1.14–4.07). There was evidence of an additive deleterious dose effect of an increasing number of CMDs (Ptrend = 0.001). Conclusions: Hypoalbuminemia is associated with an increased risk of all-cause mortality in Chinese centenarians, and this risk is more pronounced among centenarians with multiple cardiometabolic diseases. Our findings suggest that older adults with hypoalbuminemia, especially comorbid multiple CMDs warrant early identification and management. [ABSTRACT FROM AUTHOR]

Background: As the focal point of epidemic prevention and control, the mental health of COVID-19 patients cannot be ignored. Online Mindfulness-Based Stress Reduction (MBSR) allows for the provision of conveniently accessible, effective and low-cost interventions on a large scale. We aim to evaluate the effectiveness of an online MBSR intervention in alleviating anxiety and depression among asymptomatic/mild patients limited by COVID-19-related restrictions.Methods: Fifty-eight patients treated in Sanya Fangcang hospital were randomly allocated to either to the experimental group (n = 29) following daily, for 5 days, an online-based mindfulness intervention or to the control group (n = 29). Patients from both groups underwent online questionnaires including assessment of anxiety and depression status at pre- and post-tests using Self-rating Anxiety Scale and Self-Rating Depression Scale.Results: After the online-based MBSR program, the anxiety and depression scores of the patients in the MBSR group decreased significantly in comparison to the scores of those in the control group (respectively η2 = 0.175, η2 = 0.215, p < 0.001). And the proportion of severe anxiety and depression patients in the MBSR group decreased to 0% which lower than the control group, and the proportion of light anxiety and depression patients was significantly more than that in the control group after the MBSR intervention.Conclusion: The online-based MBSR intervention appears to be an effective way of alleviating anxiety and depression symptoms among COVID-19 patients with associated quarantine in Fangcang hospital. Given the seriousness of mental health threat that could be posed by this ongoing pandemic, our study provides a new idea and method for cost-effective and time-efficient interventions in the future of epidemic prevention and control. [ABSTRACT FROM AUTHOR]