Association of estimated cardiorespiratory fitness in middle-aged and elderly people with cardiovascular disease: Evidence from the China health and retirement longitudinal study.

BACKGROUND AND AIM: Cardiovascular diseases (CVD) is a major threat to public health, while cardiorespiratory fitness (CRF) is a key predictor of chronic disease. Given this, the purpose of this study was to investigate the relationship between estimated CRF (eCRF) and CVD in middle-aged and elderly Chinese people. METHODS AND RESULTS: The China Health and Retirement Longitudinal Study (CHARLS) with 4761 individuals were included in analysis. Participants were divided into three groups according to eCRF quantile in sex subgroups. Cox proportional hazards regression models were used to explore the correlation of eCRF with CVD (stroke or cardiac events). In total, 4761 participants were included in this cohort study (2500 [52.51%] women). During a 7-year follow-up from 2011 to 2018, 796 CVDs (268 Strokes and 588 cardiac events) were recorded. In multivariable-adjusted analyses, for per 1 SD increase of eCRF, the age-adjusted risk of CVD was reduced by about 18% (HR = 0.82; 95% CI, 0.72-0.93) in men, and was reduced by about 29% (HR = 0.71; 95% CI, 0.62-0.81) in women. Similar associations were also found between eCRF and stroke and cardiac events. Both subgroup and interaction analyses showed that the interaction of age had a statistically significant effect on CVD risk. CONCLUSION: ECRF was inversely associated with CVD risk (stroke or cardiac events) in both men and women. Remarkable sex and age differences exist in the effectiveness of increasing eCRF to reduce the risk of CVD. As a potential, efficient and cost-effective risk prediction tool, eCRF deserves further attention and wide application.

The association of social isolation and loneliness with sarcopenia among the middle-aged and elderly in China.

OBJECTIVES: This study examined the relationship of social isolation and loneliness on sarcopenia among Chinese middle-aged and elderly people. METHODS: Social isolation, loneliness, and sarcopenia were measured at baseline. Follow-up measures of new-onset sarcopenia were obtained 4 years later. Then used logistic regression to evaluate the association between social isolation, loneliness and sarcopenia. RESULTS: In cross-sectional analysis, social isolation and loneliness are significantly associated with sarcopenia [OR = 1.88 (95% CI = 1.54-2.28)]. In longitudinal analysis, social isolation and loneliness are significantly associated with sarcopenia [OR = 1.09 (95% CI = 0.71-1.69)]. Social isolation and loneliness have a synergistic effect. Among them, individuals over 60 years old [OR = 2.01 (95% CI = 1.37-2.96)] and those without social support [OR = 2.64 (1.61-4.32), P-for interaction < 0.001] are at higher risk. CONCLUSION: Social isolation and loneliness were significantly associated with sarcopenia, and there was a synergistic effect between social isolation and loneliness.

Hypertension combined with limitations in activities of daily living and the risk for cardiovascular disease.

OBJECTIVE: The aim of present study was to evaluate the combined effect of hypertension and activities of daily living (ADL)/instrumental activities of daily living (IADL) with the risk of CVD, stroke and cardiac events. METHODS: A total of 14,083 participants aged 45 years or older from the China Health and Retirement longitudinal study were included in current study. Participants were divided into 4 groups according to hypertension and ADL/IADL status. Cox proportional hazards regression model was used to explore the associations between hypertension, ADL/IADL and new-onset CVD, stroke and cardiac events. RESULTS: During the 7-year follow-up, a total of 2,324 respondents experienced CVD (including 783 stroke and 1,740 cardiac events). Individuals with limitations in ADL alone, or with hypertension alone, or with both limitations in ADL and hypertension were associated with increased risk of CVD, with the adjusted hazard ratios (95% confidence intervals) were 1.17(1.00-1.35), 1.36(1.24-1.49) and 1.44(1.23-1.68), respectively. Those with limitations in ADL and hypertension also had higher risk of stroke (hazard ratios = 1.64; 1.26-2.14) and cardiac events (hazard ratios = 1.37; 1.14-1.64). Similarly, individuals with both limitations in IADL and hypertension were associated with increased risk of CVD (hazard ratios = 1.34; 1.15-1.57), stroke (hazard ratios = 1.50; 1.17-1.95) and cardiac events (hazard ratios = 1.27; 1.06-1.53). CONCLUSION: Hypertension and limitations in ADL/IADL jointly increased the risk of CVD, stroke and cardiac events.

Associations between sarcopenic obesity and risk of cardiovascular disease: A population-based cohort study among middle-aged and older adults using the CHARLS.

BACKGROUND: Previous studies have demonstrated that sarcopenia was associated with a high risk of cardiovascular disease (CVD). Nevertheless, little is known about the associations between sarcopenic obesity/possibly sarcopenic obesity and the risk of CVD among senior and middle-aged adults. METHODS: Utilizing the nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), a sum of 7703 individuals aged at least 45 years were divided into four groups. The effects of sarcopenic obesity and possibly sarcopenic obesity on CVD were calculated using Cox proportional hazards regression models. Non-sarcopenic participants with optimal body mass index (BMI) or waist circumference (WC) served as a control group. RESULTS: Sarcopenic obesity were related to increased risks of CVD (HR = 1.39; 95% CI = 1.16-1.67), heart disease (HR = 1.36; 95% CI = 1.10-1.67) and stroke (HR = 1.40; 95% CI = 1.02-1.92) compared with the optimal reference group. Similarly, the risk of CVD, heart disease and stroke increased by 0.34, 0.28 and 0.39 times in obese people with possible sarcopenia compared to the control group. Sensitivity analysis identified similar results to those described above. Patients with sarcopenia and a BMI ≥28.0 kg/m2 had a 1.47- and 1.48-fold risk of developing CVD and heart disease than controls. CONCLUSION: Sarcopenic obesity and possibly sarcopenic obesity are positively associated with the development of CVD. The middle-aged and elderly population should prevent obesity and maintain muscle mass through some interventions such as weight control and moderate exercise, which may reduce the CVD risk.

Physical Activity, Sleep, and Risk of Late-Onset Severe Mental Illness: A Prospective Cohort Study From UK Biobank.

BACKGROUND AND HYPOTHESIS: Previous studies have found that both physical inactivity and poor sleep are deleteriously associated with severe mental illness (SMI). The aim of current study was to investigate the joint association of physical activity (PA) and sleep with late-onset SMI (schizophrenia and bipolar disorder) risk. STUDY DESIGN: A total of 340 187 (for schizophrenia)/340 239 (for bipolar disorder) participants without schizophrenia or bipolar disorder from the UK Biobank were included. Baseline PA levels were categorized as high, intermediate, and low according to the total volume of PA. Sleep was categorized into healthy, intermediate, and poor according to an established composited sleep score of chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. We derived 9 PA-sleep combinations, accordingly. STUDY RESULTS: After an average follow-up of 13.2 years, 814 participants experienced schizophrenia and 846 participants experienced bipolar disorder. Both low PA level, intermediate, and poor sleep were independently associated with increased risk of SMI. PA level and sleep had additive and multiplicative interactions on SMI risk. Compared to those with high PA level and healthy sleep, individuals with low PA and poor sleep had the highest risk of SMI (hazard ratio: 1.95; 95% CI: 1.02-3.70, P < .001) for schizophrenia; (hazard ratio: 3.81; 95% CI: 2.35-6.15) for bipolar disorder. A higher PA level may attenuate the detrimental effects of poor sleep. CONCLUSION: Both low PA and poor sleep was associated with increasing risk of late-onset SMI. Those with low PA and poor sleep had the highest risk of late-onset SMI, suggesting likely synergistic effects. Our findings supported the need to target both PA and sleep behaviors in research and clinical practice.