ABSTRACT
Objective@#To investigate sleep quality among patients with hypertension and diabetes, so as to provide the basis for improving the health of patients with chronic diseases.@*Methods@#From May to August 2022, patients with hypertension and diabetes under the community management in 4 counties and cities (districts) of Shaoxing City, Zhejiang Province were recruited using a multi-stage stratified cluster random sampling method. Demographic information, disease history, smoking, alcohol consumption, physical activity and sleep quality were collected by questionnaire surveys, and blood pressure, fasting blood glucose and glycosylated hemoglobin were collected through physical examination and laboratory testing. The incidence of poor sleep quality symptoms (snoring/asphyxia/suffocation, difficulty falling asleep, night awakening, taking sleeping pills and early morning awakening) in patients with diabetes and hypertension was descriptively analyzed, and sleep quality was evaluated.@*Results@#A total of 1 539 patients with hypertension and diabetes were surveyed, including 715 males (46.46%) and 824 females (53.54%). The patients had a mean age of (68.68±7.62) years. The proportions of night awakening, early morning awakening, snoring/asphyxia/suffocation, difficulty falling asleep and taking sleeping pills were 29.82%, 28.53%, 20.73%, 15.79% and 4.29%, respectively. The proportion of poor sleep quality was 66.54%. Employment status, smoking status, moderate/high intensity physical activity and blood pressure control were related to poor sleep quality (all P<0.05).@*Conclusion@#Poor sleep quality is common in patients with hypertension and diabetes, with the main symptoms being night awakening, early morning awakening, difficulty falling asleep and snoring/asphyxia/suffocation.
ABSTRACT
Background & aims: Evidence regarding the prevalence of pre-treatment sarcopenia and its impact on survival in patients with hematological malignancies (HM) varies across studies. We conducted a systematic review and meta-analysis to summarize this discrepancy. Methods: PubMed, Embase and Cochrane library were systematically searched for relevant studies. Outcomes assessed were: prevalence of pre-treatment sarcopenia, overall survival (OS), progression-free survival (PFS) and complete response (CR). Weighted mean proportion, odds ratios (ORs) and hazard ratios (HRs) were estimated using a fixed-effects and a random-effects model. Results: A total of 27 retrospective cohort studies involving 4,991 patients were included in this study. The prevalence of pre-treatment sarcopenia was 37.0% (95% CI: 32.0%-42.0%) in HM patients <60 years and 51.0% (95% CI: 45.0%-57.0%) in≥60 years. Patients with leukemia had the lowest prevalence, compared with those with other HM (38.0%; 95% CI: 33.0%-43.0%; P = 0.010). The presence of sarcopenia was independently associated with poor OS (HR = 1.57, 95% CI = 1.41-1.75) and PFS (HR = 1.50, 95% CI = 1.22-1.83) throughout treatment period, which may be partially attributed to decreased CR (OR = 0.54, 95% CI = 0.41-0.72), particularly for BMI ≥ 25 (P = 0.020) and males (P = 0.020). Conclusion: Sarcopenia is highly prevalent in patients with HM and an adverse prognostic factor for both survival and treatment efficacy. HM and sarcopenia can aggravate each other. We suggest that in future clinical work, incorporating sarcopenia into risk scores will contribute to guide patient stratification and therapeutic strategy, particularly for the elderly. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier (CRD42023392550).
ABSTRACT
Objective@#To investigate the clustering of risk factors among populations at high risk of cardiovascular diseases in Shaoxing City, Zhejiang Province, so as to provide the evidence for formulating the cardiovascular disease control measures among populations at high risk of cardiovascular diseases.@*Methods@#The populations with hypertension, diabetes, dyslipidemia and a history of cardio-cerebrovascular disease at ages of 35 to 70 years were sampled from 6 districts (counties) of Shaoxing City using a multi-stage cluster random sampling method from May to July 2021. Participants' demographics, history of disease, smoking, alcohol consumption and drug use were collected through questionnaires, and height, body weight and blood lipid were measured. The participants at high risk of cardiovascular diseases were enrolled, and the prevalence and clustering of five risk factors were investigated, including current smoking, current alcohol consumption, overweight/obesity, never exercise and daily sedentary duration of 3 hours and longer. Factors affecting the clustering of risk factors were identified with an ordinal logistic regression model.@*Results@# Totally 1 695 participants were enrolled, including 940 men (55.46%) and 755 women (44.54%), with a mean age of (62.56±6.08) years old. There were 213 participants with a history of cardio-cerebrovascular disease (12.57%), and the prevalence of hypertension, diabetes and dyslipidemia was 78.53%, 61.95% and 46.78%, respectively, and there were 32.63% of participants with current smoking, 35.99% with current alcohol consumption, 49.38% with overweight/obesity, 62.12% with never exercise and 61.24% with daily sedentary duration of 3 hours and longer, respectively. There were 28.85% of participants with two risk factors, and 46.90% with three to five risk factors. Ordinal logistic regression analysis showed that male (OR=5.430, 95%CI: 4.389-6.726), and development of hypertension (OR=1.655, 95%CI: 1.313-2.090) led to present more numbers of clustering of risk factors, and annual household income of 20 000 to 50 000 Yuan (OR=0.620, 95%CI: 0.473-0.812), a history of cardio-cerebrovascular diseases (OR=0.430, 95%CI: 0.324-0.572), presence of diabetes (OR=0.592, 95%CI: 0.476-0.736) led to less numbers of clustering of risk factors among populations at high risk of cardiovascular diseases. @*Conclusions @#There is clustering of risk factors among populations at high risk of cardiovascular diseases in Shaoxing City. Men, income, history of cardio-cerebrovascular diseases, hypertension and diabetes are factors affecting the clustering of risk factors.