Rodeslattery4141

Objective To describe the prevalence of heart failure in China and to explore the prospective association between smoking behavior and the risk of incident heart failure. Methods The subjects were from the China Kadoorie Biobank (CKB) and the baseline survey was conducted from June 2004 to July 2008. A total of 487 197 subjects were included in this study, after excluding those with missing BMI information, lost follow-up immediately after baseline investigation, and self-reported coronary heart disease, stroke, or malignant tumor at baseline. This study included data from baseline and follow-up until December 31, 2016. Cox proportional hazards regression models were used to estimate the association between smoking behavior and the risk of heart failure. Results The median follow-up time was 10.15 years, during which a total of 4 208 new cases of heart failure occurred, with a crude incidence rate of 0.87/1 000 person-years and a cumulative incidence rate of 0.86%. The higher the age at baseline, the higher t trend P=0.091). The hazard ratios of quitting smoking due to disease and other reasons were 1.62 (95%CI1.41-1.86) and 1.23 (95%CI 1.04-1.45). Healthy smoking behaviors had a significant protective effect on heart failure compared with non-healthy smoking behaviors (HR=0.75, 95%CI0.69-0.81). Area and family history of coronary heart disease, and the smoking behaviors interacted with the risk of heart failure (for all interactions were P less then 0.05). Conclusions The incidence of heart failure in China is higher in males than females, higher in rural areas than in urban areas, and increases with age. Both former smokers and current smokers had a higher risk of heart failure than nonsmokers or occasional smokers, regardless of the frequency, amount, duration, and reason for quitting. Smoking is an important risk factor for heart failure and comprehensive anti-smoking measures should be maintained.Objective To evaluate the correlation of dietary patterns with low muscle mass, strength and quality in Chinese adults. Methods Based on the second resurvey of China Kadoorie Biobank, factor analysis was conducted to derive dietary patterns from 20 food groups. Low muscle mass, strength, and quality were defined as the sex-specific lowest quintile of appendicular skeletal muscle mass index (ASMI), total skeletal muscle mass index (TSMI), handgrip strength and arm muscle quality (AMQ) according to Asian Working Group for Sarcopenia recommendations. Logistic regression models were used to evaluate the correlation of dietary patterns with low muscle mass, strength, and quality. Results Two major dietary patterns were extracted. The balanced dietary pattern was characterized by the intake of a variety of foods, whereas the rice-meat dietary pattern was characterized by high intakes of rice, meat, poultry and fish. Individuals who had the highest quintile score of the balanced dietary pattern were less likely to have low TSMI, handgrip strength or AMQ(OR=0.83, 95%CI 0.74-0.95 for low TSMI; OR=0.64, 95%CI 0.56-0.74 for low handgrip strength; OR=0.82, 95%CI 0.72-0.93 for low AMQ; for trend P less then 0.05). And those who scored higher on the rice-meat dietary pattern had lower risk of low muscle mass and strength (OR=0.67, 95%CI 0.55-0.82 for low ASMI; OR=0.69, 95%CI 0.56-0.85 for low TSMI; OR=0.74, 95%CI 0.60-0.91 for low handgrip strength; for trend P less then 0.05). Conclusion Individuals followed the balanced dietary pattern, as well as those who followed the rice-meat dietary pattern, had better levels of skeletal muscle mass, strength and quality.Objective To analyze the epidemiological distributions of fracture hospitalization. Methods The present study included participants who participated in the baseline survey of China Kadoorie Biobank (CKB) and excluded participants who were lost to follow up or died before 2009, leaving a total of 506 004 participants. Negative binomial regression models were used to analyze the epidemiological distribution of any fracture and fracture at five specific body sites (upperlimb, lowerlimb, spine, pelvis and hip) from 2009 to 2016 in 10 regions. Results During a median follow-up of (7.7±1.2) years (total person-years 3 899 814), we documented 17 118 cases of fracture hospitalizations. The crude fracture hospitalization rate was 4.39/1 000 person-years. After controlling for the increasing age of the fixed cohort, the hospitalization rates of fractures at various body sites increased from 2009 to 2016, with an annual growth rate (95%CI) of 9.1% (8.3%-9.9%) for any fracture. The fracture hospitalization rate was higher in rural than in urban areas except for hip fractures (P less then 0.05) and the hospitalization rate of any fracture were 5.42/1 000 and 3.24/1 000 person-years in rural and urban areas, respectively. Fracture hospitalization rate increased by age. In participants aged less then 50 years, men had higher fracture hospitalization rates than women except for pelvis fracture, while in those aged ≥50 years, women had higher fracture hospitalization rates than men. Conclusions Fracture hospitalization rates increased by age and also showed upward selular trends. As China has begun the aging process, fractures impose a heavier burden on society. It is of great significance to prevent osteoporosis-related and injury-related fractures in order to reduce fractures incidence.Objective To examine the association between self-rated health status (SRH) and all-cause and cardiovascular mortality. Methods A total of 512 713 adults aged 30-79 years from 10 areas of China were followed from baseline (2004-2008) until 31 December 2016 in the China Kadoorie Biobank study. Global and age-comparative SRH [general self-rated health status (GSRH) and age-comparative self-rated health status (ASRH), respectively] were asked in baseline questionnaires. Causes for mortality were monitored through linkage with established Disease Surveillance Point system and health insurance records. Multivariable Cox proportional regression models were used to estimate the HRs and 95%CIs for the association between SRH measures and all-cause or cardiovascular mortality. Results During an average of 9.9 years' follow-up, 44 065 deaths were recorded, among which 17 648 were from cardiovascular disease. Compared with excellent GSRH, the HR(95%CI) for all-cause and cardiovascular mortality associated with poor GSRH was 1.84(1.78-1.91) and 1.94(1.82-2.06), respectively. Relative to better ASRH, the HR(95%CI) for all-cause and cardiovascular mortality associated with worse ASRH was 1.75(1.70-1.81) and 1.83(1.73-1.92), respectively. Conclusion In this large prospective cohort study in China, participants reporting poor GSRH or worse ASRH had significantly higher risk of all-cause and cardiovascular mortality.Objective To describe the prevalence of multimorbidity and its secular trend, and to explore the common patterns of multimorbidity in Chinese adults. Methods A total of 25 033 participants who attended the second resurvey of China Kadoorie Biobank (CKB) were included in the study. We used data collected both at baseline (2004-2008) and at resurvey (2013-2014). A total of 13 chronic conditions were included, defined by self-reported, physical examination, and blood sample testing. Multimorbidity was defined as co-existence of two or more chronic conditions. Patterns of multimorbidity were explored using hierarchical cluster analysis. Results The mean age of participants was (51.5±10.1) years at baseline and (59.5±10.2) years at second resurvey. The prevalence of multimorbidity increased from 33.5% to 58.1% over (8.0±0.8) years of follow-up. The average number of chronic conditions per person increased from 1.15 to 1.82 and all participants increased 0.42 conditions per 5 years on average. Participants who were older, less educated or lived in urban areas had a higher prevalence of multimorbidity and a higher increase in the number of chronic conditions. The increase in the number of chronic conditions was also higher among smokers and heavy alcohol drinkers. buy BRD7389 The most common multimorbidity pattern in the present population consisted of obesity, hypertension, diabetes, stroke, and heart disease. Conclusions The prevalence of multimorbidity in Chinese adults is increasing rapidly due to ageing population. Populations of different sociodemographic background and lifestyle habits may have different prevalence of multimorbidity and changes in rates over time.From 1951 to 1980, stroke was the main cause of disability and death among middle-aged and elderly residents in Japan. Its mortality once stood in the first place among all the developed countries, with the mortality of hemorrhagic stroke significantly higher than that of the western countries. In 1965, the mortality of stroke in Japan reached a peak of 175.8 per 100 000. Since then, it began to decline rapidly with a range of 5%-7%, and dropped to 139.5 per 100 000 in 1980, and from the top cause of death to the third place. By 2010, the mortality had dropped to 97.7 per 100 000. The significant decline in stroke morbidity and mortality in Japan is mainly attributed to controlling important risk factors and the public health service system's improvement. Setting up related policies and regulations to ensure comprehensive interventions and using the existing monitoring systems and surveys to assess interventions' effectiveness also contributes. Given the similarities of epidemiological characteristics and risk factors on stroke in Japan and China, strategies and measures adopted in Japan will have certain positive significance for China.Risk assessment plays an essential role in the prevention and control of infectious diseases. A sound index system is critical to obtain accurate risk assessment results. The spread of different types of infectious diseases in various situations has complex influencing factors. Thus, the results of different risk assessment index system of infectious disease transmission could be varying. This paper summarizes the risk assessment index systems of infectious disease transmission established at home and abroad according to the transmission route and the specific situations in which they occur. This paper also quoted China's references to formulate a new index system for risk assessment of infectious disease transmission.Matching is a standard method for selecting research objects regarding the observational research, which controls confounding factors and improves statistical efficiency. However, its role in controlling confounding is not consistent in different observational studies. Matching can eliminate the confounding bias of matching variables in cohort studies, but checking on itself cannot eliminate confounding bias in case-control studies. In matched case-control studies, researchers may not accurately judge whether the variable is a confounder. Sometimes the variables that are not confounders are mistakenly matched. In that case, it will result in overmatching, which will lead to the decline of statistical efficiency or the introduction of unavoidable bias or increase of workload. If the real confounding factors are omitted, it will cause confounding bias. Therefore, researchers should consider what kind of matching variable selection criteria should be formulated. A directed acyclic graph is a visual graphic language that can show the complicated causality among different epidemiological research designs.