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Chronic disease, mental health symptoms and poor social relations are reported common causes for poor self-rated health in older people. To assess the co-occurrence rate of chronic diseases, poor mental health and poor social relationships in older people, and determine their association with self-rated health. 6,551 older people in Zhongshan, China, participated a large health surveillance program were randomly selected and questioned about their SRH, chronic conditions, mental health symptoms and social relationships. The association between self-rated health and chronic conditions, poor mental health, social relationships, and their co-occurrence were analyzed. 56.4% of participants reported poor self-rated health. 39.1% experienced at least one chronic disease. 29.0% experienced one or more mental health symptoms; 19.5% experienced at least one poor social relationship. 7.8% had co-occurrence of chronic diseases, mental health problems, and poor social relationships. Logistic regressions showed that poor self-rated health was associated with chronic diseases, poor mental health, poor social relationships and their co-occurrence. The findings indicate the importance of managing chronic disease, poor mental health and poor social relationships for older people.

During previous pandemic outbreaks, medical staff have reported high levels of psychological distress. The aim of the current study was to report a snapshot of the psychological impact of the coronavirus disease 2019 (COVID-19) pandemic and its correlated factors on medical staff in Guangdong, China. On the 2nd and 3rd February 2020, soon after the start of the COVID-19 pandemic, we surveyed medical staff at four hospitals in Guangdong, China, to collect demographic characteristics, Hospital Anxiety and Depression Scale (HADS), Perceived Stress Scale (PSS-14), and Insomnia Severity Index (ISI) scores. Complete responses were received from 1045 medical staff. Respondents were divided into high- and low-risk groups according to their working environment of contacting with potential or confirmed COVID-19 cases. The proportion of staff with anxiety (55.4% v. 43.0%, p < 0.001) or depression (43.6% v. 36.8%, p = 0.028) was significantly higher in the high-risk group than the low-risk group. The percentage of staff with severe anxiety was similar in the two groups. Doctors were more susceptible to moderate-to-severe depressive symptoms. The high-risk group had higher levels of clinical insomnia (13.5% v. 8.5%, p = 0.011) and were more likely to be in the upper quartile for stress symptoms (24.7% v. 19.3%, p = 0.037) than the low-risk group. Additionally, work experience negatively correlated with insomnia symptoms. It is important for hospitals and authorities to protect both the physical and psychological health of medical staff during times of pandemic, even those with a low exposure risk.

The relationship between gestational diabetes mellitus (GDM) and oxidative stress has not been fully elucidated. This study examined the association between biomarkers of oxidative stress and GDM. We conducted a case-control study which included 36 women presenting with GDM and 36 asymptomatic matched control subjects who visited Guangzhou Women and Children's Medical Centre, China, from June 2012 to December 2012. Pregnant women were prospectively recruited to the study, and blood samples were collected at the time of a routine oral glucose tolerance test. These samples were then analyzed for levels of endocrine and surrogate markers of oxidative stress. Compared to control subjects, women with GDM exhibited elevated values for plasma glucose, insulin, and insulin resistance (IR), and showed reduced HOMA pancreatic β-cell function (HOMA-B), insulin sensitivity index (ISI), insulinogenic index, and corrected insulin response at 24-28 weeks gestation. A bivariate logistic regression analysis showed that levels of high-sensitivity C reactive protein (hs-CRP) and high fluorescence reticulocytes at fasting, and hs-CRP in a 1-h OGTT, were significantly associated with GDM. A linear regression analysis showed that levels of hs-CRP (P = 0.003) and reticulocytes (P = 0.029) at fasting were associated with IR, and levels of hs-CRP (P = 0.002) and monocytes (P = 0.006) in a 1-h OGTT were associated with ISI. Pregnant women with GDM developed a pathological IR and exhibited β-cell dysfunction. Their decreased ability to compensate for oxidative stress was associated with increased IR and a reduced ISI, which might be important factors in GDM.

Background Observational studies have found that both short and long sleep duration are associated with increased risk of metabolic syndrome (MetS). This study aimed to examine the associations of genetically determined sleep durations with MetS and its five components (i.e., central obesity, high blood pressure, dyslipidemia, hypertriglyceridemia, and hyperglycemia) among a group of elderly population. Methods In 335,727 participants of White British from the UK Biobank, linear Mendelian randomization (MR) methods were first employed to examine the causal association of genetically predicted continuous sleep duration with MetS and its each component. Nonlinear MR analyses were performed to determine the nonlinearity of these associations. The causal associations of short and long sleep duration with MetS and its components were further assessed by using genetic variants that associated with short (≤ 6 h) and long sleep (≥ 9 h) durations. Results Linear MR analyses demonstrated that genetically predicted 1-h longer sleep duration was associated with a 13% lower risk of MetS, a 30% lower risk of central obesity, and a 26% lower risk of hyperglycemia. Non-linear MR analyses provided evidence for non-linear associations of genetically predicted sleep duration with MetS and its five components (all P values < 0.008). Genetically predicted short sleep duration was moderately associated with MetS and its four components, including central obesity, dyslipidemia, hypertriglyceridemia, and hyperglycemia (all P values < 0.002), whereas genetically long sleep duration was not associated with MetS and any of its components. Conclusions Genetically predicted short sleep duration, but not genetically predicted long sleep duration, is a potentially causal risk factor for MetS. Graphical Abstract

BackgroundThe coexistence of multiple chronic conditions is very common in cardiovascular disease (CVD). However, the prevalence of CVD multimorbidity in China and its influence on life satisfaction have not been reported. This study aimed to investigate the proportions of 12 chronic comorbid diseases in CVD and the associations of multimorbidity with life satisfaction in patients with CVD.MethodsWe conducted a cross-sectional study in a nationally representative sample of 3478 participants with CVD aged 45 years or more who participated in the China Health and Retirement Longitudinal Study 2015. Correlations of multimorbidity with 12 chronic diseases in CVD and life satisfaction were investigated using logistic regression models, after adjusting for 12 covariates.ResultsThe proportion of multimorbidity among participants with CVD was 93.3% (89.4% for middle-aged adults and 95.4% for older adults; 92.9% for men and 93.5% for women). The proportion of participants with CVD multimorbidity who were dissatisfied with life was 11.2%, significantly higher than those without any chronic diseases (χ2=5.147, p=0.023). Life satisfaction in patients with CVD decreased with increased number of comorbidities (χ2=45.735, p<0.001). Kidney disease (OR=1.933, 95% CI: 1.483 to 2.521), memory-related diseases (MRDs) (OR=1.695, 95% CI: 1.149 to 2.501) and dyslipidaemia (OR=1.346, 95% CI: 1.048 to 1.729) were significantly associated with reduced life satisfaction when adjusting for 12 covariates.ConclusionsIn this nationally representative cross-sectional study, life satisfaction was reduced by multimorbidity of CVD. Kidney disease had the greatest influence on life satisfaction in patients with CVD, followed by dyslipidaemia and MRDs. Our study emphasises the importance of preventing of chronic diseases in adults with CVD.

Background Hypertensive patients with depression have a higher mortality rate and a worse prognosis compared with hypertensive only. Depression may reduce medication adherence in hypertension patients. Methods This study includes respondents in the National Health and Nutritional Examination Survey (NHANES) database from 2005 to 2018 who had previously been diagnosed with hypertension. Medication adherence was defined as taking medication as recommended by a physician. The depressive state was assessed using the patient health questionnaire (PHQ)-9. Results Nine thousand one hundred eighty-six respondents were included in the analysis. Medication adherence was associated with depression (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.26 to1.75) and depression score (OR: 1.04 per each point increase, 1.03 to 1.05) in the unadjusted analyses. After adjusting for clinical and socioeconomic/demographic factors, there were significant statistical correlations between depression score and medication adherence (aOR: 1.02 per each point increase, 1.00 to 1.03, p  < 0.05), but there was no significant statistical correlation between depression and medication adherence ( p  > 0.05). It was still statistically significant relationships between sex, age, body mass index (BMI), race, marital status, and health insurance with medication adherence after adjusted socioeconomic/demographic factors. Conclusion Depression was marginally associated with poor medication adherence in hypertensive patients, and the correlation increased with depression degree. Moreover, socioeconomic/demographic factors have an independent impact on medication adherence including sex, age, BMI, race, marital status, and health insurance.

Transcatheter aortic valve replacement (TAVR) is a relatively new treatment method for aortic stenosis (AS) and has been demonstrated to be suitable for patients with varying risk levels. Indeed, among high-risk patients, TAVR outcomes are comparable to, or even better, than that of the traditional surgical aortic valve replacement (SAVR) method. TAVR outcomes, with respect to post-surgical functional capacity and quality of life, have also been found to be improved, especially when combined with cardiac rehabilitation (CR). CR is a multidisciplinary system, which integrates cardiology with other medical disciplines, such as sports, nutritional, mind-body, and behavioral medicine. It entails the development of appropriate medication, exercise, and diet prescriptions, along with providing psychological support, ensuring the cessation of smoking, and developing risk factor management strategies for cardiovascular disease patients. However, even with CR being able to improve TAVR outcomes and reduce post-surgical mortality rates, it still has largely been underutilized in clinical settings. This article reviews the usage of CR during both pre-and postoperative periods for valvular diseases, and the factors involved in influencing subsequent patient prognoses, thereby providing a direction for subsequent research and clinical applications.

Background Depression and anxiety are two common mood problems among patients with cardiovascular disease (CVD) and are associated with poor cardiac prognoses. The comorbidity of depression and anxiety is considered to be a more severe psychological status than non-comorbid mood disorders. However, little is known about the relationship between depression or anxiety and noncardiac readmission. We conducted a prospective study on the prognostic impact of depression, anxiety, and the comorbidity of the two among angina pectoris (AP) patients. Method In this prospective study, 443 patients with AP were included in the analysis. Follow-up assessments were performed 1 year, and 2 years after patient discharges. Clinical outcomes of interest included noncardiac readmission, major adverse cardiovascular events (MACEs), and composite events. Depression and anxiety symptom scores derived from the patient health questionnaire-9 (PHQ-9) and generalised anxiety disorder-7 (GAD-7) questionnaire were used to assess mood symptoms at baseline. Participants with symptom scores of ≥10 on both the depression and anxiety questionnaires formed the clinical comorbidity subgroup. We used multivariable Cox proportional hazards models to evaluate the impact of individual mood symptom and comorbidity on clinical outcomes. Results Among all the AP patients, 172 (38. 9%) were determined to have depression symptoms, 127 (28.7%) patients had anxiety symptoms and 71 (16.0%) patients suffered from their comorbidity. After controlling covariates, we found that patients who endured clinical depression (hazard ratio [HR] = 2.38, 95% confidence interval [CI] 1.06–5.33, p  = 0.035) and anxiety ([HR] 2.85, 95% [CI] 1.10–7.45, p  = 0.032) had a high risk of noncardiac readmission. Compared to participants with no mood symptoms, those with clinical comorbidity of depression and anxiety presented a greater risk of noncardiac readmission ([HR] 2.91, 95% [CI] 1.03–8.18, p  = 0.043) MACEs ([HR] 2.38, 95% [CI] 1.11–5.10, p  = 0.025) and composite event ([HR] 2.52, 95% [CI] 1.35–4.69, p  = 0.004). Conclusion Depression and anxiety were found to have predictive value for noncardiac readmission among patients with AP. Furthermore, prognoses were found to be worse for patients with comorbidity of depression and anxiety than those with single mood symptom. Additional attention needs to be focused on the initial identification and long-term monitoring of mood symptom comorbidity.

Background Depression, anxiety and high-sensitivity C-reactive protein (hs-CRP) are individually associated with poor prognosis in patients with coronary heart disease (CHD). However, the combined effects of depression with inflammation or anxiety with inflammation on the prognosis have been rarely explored. Methods This prospective cohort study included 414 patients diagnosed with CHD. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to assess depression and anxiety. A score ≥ 5 points was defined as elevated depression or anxiety. High hs-CRP was defined as ≥ 3 mg/L. Follow-up was performed 2 years after the patients were discharged. The clinical results included noncardiac readmission, cardiac readmission, major cardiovascular events (MACEs), and composite events. The composite events included noncardiac readmission and MACEs. The Cox proportional hazard regression model was used to analyze the prognostic risk. Results After full adjustment, patients with elevated depression and high hs-CRP had a higher risk in predicting noncardiac readmission (hazard ratio (HR) = 3.87, 95% confidence interval (CI) = 1.10–9.02, p  = 0.002) and composite events (HR = 1.93, 95% CI = 1.13–3.30, p  = 0.016) than those with high hs-CRP alone. For the anxiety and hs-CRP group, high hs-CRP alone predicted a higher risk of noncardiac readmission (HR = 3.32, 95% CI = 1.57–7.03, p  = 0.002) and composite events (HR = 1.75, 95% CI = 1.12–2.76, p  = 0.015) than references. Elevated anxiety had no significant effects on all the endpoints. Furthermore, we didn’t find interactions between depression and hs-CRP or anxiety and hs-CRP. Conclusion In patients with CHD, elevated depression with high hs-CRP was found to be significant in predicting the risk of noncardiac readmission and composite events. Early diagnosis and treatment of depression with inflammation are necessary in CHD patients.

Background Long COVID-19 is characterized by systemic deterioration of the entire body, leading to significant physical and mental disorders. Exercise training has the potential to improve persistent symptoms and cardiopulmonary functions. Method This was a single-center, randomized, controlled trial. Twenty-four patients aged 18 to 75 years who had a history of SARS-CoV-2 infection and long COVID symptoms. Patients were randomly allocated in a 1:1 ratio to receive either a 4-week exercise training program or an attention control group. The training group participated in 12 supervised aerobic sessions on a cycling ergometer over 4 weeks. The outcomes were to assess the impact of a 4-week aerobic exercise on the persistent symptoms and cardiopulmonary fitness, the surrogate endpoints of COVID-19 recovery and cardiopulmonary health. Results After the 4-week intervention, significant reductions were observed in the total number of symptoms in the training group. Specifically, 67.8% of patients in the training group exhibited reduced or completely resolved symptoms, in comparison to 16.7% in the control group ( P  = 0.013). After adjusting for gender, significant improvements in the training group were observed for exercise time ( P group*time  = 0.028), maximum load ( P group*time  = 0.01), and peak VO 2 ( P group*time  = 0.001), as well as O 2 pulse ( P group*time  = 0.042) and maximum heart rate ( P group*time  = 0.007). The score of Short Form-12, depression, anxiety, perceived stress, and insomnia did not show significant changes between groups ( P group*time  > 0.05). Conclusion A supervised aerobic training program has the potential to alleviate persistent symptoms and improve exercise tolerance in patients with long COVID-19. Further research is necessary to confirm these effects in a large population. This intervention could be easily implemented in non-hospital settings, potentially benefiting a broader range of individuals. Trial registration number ClinicalTrials.gov NCT05961462. Registered on July 25, 2023.