Albrightholland0943

In subgroup analyses on cohort studies, positive correlation between short sleep duration and metabolic syndrome was observed in both Asian (RR=1.10, 95%CI 1.07-1.13) and in Caucasians (RR=1.56, 95%CI 1.08-2.26) populations. Conclusions Results of this study revealed an association between metabolic syndrome and the duration of sleep. We understand that sleep is a behavior that can be changed step by step, through adequate intervention programs, to reduce the risk of metabolic syndrome which has become an important public health issue.Objective To study the association of duration and quality of sleep with metabolic syndrome. Methods Multi-stage cluster random sampling method was used to extract data from the '2015 adult chronic disease and nutrition monitoring population project' from 42 communities of 7 districts in Tianjin. learn more A total of 1 388 residents aged 45 to 59 years old were selected to analyze the relationship between both duration and quality of sleep and the metabolic syndrome. χ(2) test, non-conditional logistic regression and classification tree models were used for data analysis. Result The prevalence of metabolic syndrome appeared as 30.4%, 37.4 % and 43.1% in the poor, common or well sleep groups respectively. The prevalence rates of metabolic syndrome in the sleep time 7.5 h, 6.0-7.5 h groups were 36.5% and 30.6% respectively. After adjusting for gender and age, results from the logistic regression analysis showed that short or long sleep duration, as well as poor sleep quality all appeared as risk factors on metabolic syndrome (P less then 0.05). According to the classification tree model, factors as gender (importance 0.004, standardized importance 100%), quality of sleep (importance 0.004, standardized importance 99.5%), duration of sleep (importance 0.002, standardized importance 38.6%), education level (importance 0.001, standardized importance 22.3%) and salt intake (importance 0.001, standardized importance 22.2%) were all important on metabolic syndrome and with interactive effects. Conclusions Both quality and duration of sleep were important influencing factors on metabolic syndrome among midlife population in Tianjin. More attention should be paid to sleep and health status among the midlife population. Ability on self-management of health should also be strengthened through health education, to prevent metabolic syndrome and other chronic diseases in this population.Objective To analyze the relationship between both quality and duration of sleep and type 2 diabetes in middle-aged and elderly people in Shanghai. Method Baseline data was from the '2017 epidemiological survey in Shanghai community residents aged 35 and above on type 2 diabetes'. Restricted cubic splines were used to draw dose-response curves to show the relationship between PSQI score, sleep duration and type 2 diabetes. Logistic regression model was used to analyze the effects of quality and duration of sleep as well as the interaction, on type 2 diabetes. Results Results showed that the average PSQI score was (4.09±0.10) points, the proportion of poor sleep quality was 12.55% (95%CI 10.77-14.58) and the average sleep duration was (7.19±0.03) hours. The relationship between PSQI score and diabetes appeared linear, with the relationship between sleep duration and diabetes as U-shaped. After adjusting for confounders, both poor sleep quality (>7 for PSQI score) and short sleep duration (sleep duration less then 6 hours) significantly increased the risk of type 2 diabetes, with OR=1.17 (95%CI 1.06-1.30) and 1.20 (95%CI 1.01-1.41), respectively. From the interaction analysis, data showed that after adjusting for confounders, both sleep duration less then 6 hours (OR=1.30, 95%CI 1.12-1.52) and ≥8 hours (OR=1.79, 95%CI 1.04-3.07) with poor sleep quality would increase the risks on diabetes. Conclusion Both poor sleep quality and short sleep duration were associated with the risk of diabetes, while long sleep duration was only associated with the risk of diabetes when accompanied by poor quality of sleep.Objective To understand the status quo of sleep and its associations with serum hemoglobin A1c (HbA1c) among nondiabetic people of 18-79 years old in Beijing. Methods Data was gathered from the 2017 Beijing Non-communicable and Chronic Disease Surveillance Program. Multiple classified clusters sampling method was used while the 18-79 years old were sampled from the 16 districts of Beijing. Questionnaires would include information on demographic characteristics, chronic diseases and related risk factors, sleep duration and related problems (snore/asphyxia, difficult to get to sleep, waking often during the night, waking up early or taking sleeping pills) within the last 30 days. Complex sampling logistic regression models were established to analyze the association between sleep-related problems and serum HbA1c. Results A total of 11 608 non-diabetic participants were involved in this study, with average age, reported sleep duration and median of serum HbA1c level as (43.36±15.27) years old, (7.49±1.29) h/d and 5.30%, respectively. 47.38% of them reported having sleep problems within the last 30 days. With the increasing time of sleep, serum HbA1c level was fluctuating significantly (F=413.06, P less then 0.01). Significant differences appeared in serum HbA1c levels among different age groups (t=358.3, P less then 0.01). Among participants with several kinds of sleep problems, the serum HbA1c levels were significantly higher than those without, through the single factor analysis (U=15.11, P less then 0.01). After adjusting for potential confounding factors, the combination of one sleep-related problem (OR=1.21, 95%CI 1.03-1.41) and snore/asphyxia were associated with higher serum HbA1c levels (HbA1c≥5.7%) (OR=1.37, 95%CI 1.16-1.61). People under 60 years of age were with higher risk of having higher serum HbA1c levels. Conclusion Duration and sleep-related problems might affect the serum HbA1c levels, especially among those younger than 60 years of age.Objective To investigate the status quo of sleelated problems and relationship with dyslipidemia among adults in Beijing. Methods From August to December 2017, 13 188 residents aged 18-79 years old were randomly selected as the subjects of this study, by stratified multi-stage cluster sampling method. Questionnaire, physical examination and laboratory testing were used in this study. The questionnaire included demographic characteristics and status quo of sleep. Height and weight were measured, with fasting venous blood collected to test the levels of TC, HDL-C, LDL-C and TG. Results In Beijing, 52.1% of the adults involved in this study were having sleep-related problems which appeared higher in patients with dyslipidemia (55.1%) than those without (50.7%). Rates of sleep-related problems as snoring, difficult to get into sleep, waking at night, waking early and taking sleeping pills were 30.1%, 18.8%, 24.6%, 20.1% and 3.0%, respectively. The prevalence rates of high TC, high TG and high LDL-C were 7.5%, 23.