Objective To analyze the influencing factors of death in the elderly with coronavirus disease 2019(COVID-19).Methods The case data of death caused by COVID-19 in West China Fourth Hospital from January 1 to July 8,2023 were collected,and surviving cases from the West China Elderly Health Cohort infected with COVID-19 during the same period were selected as the control.LASSO-Logistic regression was adopted to analyze the data after propensity score matching and the validity of the model was verified by drawing the receiver operating characteristic curve.Results A total of 3 239 COVID-19 survivors and 142 deaths with COVID-19 were included.The results of LASSO-Logistic regression showed that smoking(OR=3.33,95%CI=1.46-7.59,P=0.004),stroke(OR=3.55,95%CI=1.15-10.30,P=0.022),malignant tumors(OR=19.93, 95%CI=8.52-49.23, P<0.001),coronary heart disease(OR=7.68, 95%CI=3.52-17.07, P<0.001),fever(OR=0.51, 95%CI=0.26-0.96, P=0.042),difficulty breathing or asthma symptoms(OR=21.48, 95%CI=9.44-51.95, P<0.001),and vomiting(OR=8.19,95%CI=2.87-23.58, P<0.001)increased the risk of death with COVID-19.The prediction model constructed based on the influencing factors achieved an area under the curve of 0.889 in the test set.Conclusions Smoking,stroke,malignant tumors,coronary heart disease,fever,breathing difficulty or asthma symptoms,and vomiting were identified as key factors influencing the death risk in COVID-19.
Humans ; COVID-19/mortality* ; Aged ; Propensity Score ; China/epidemiology* ; Risk Factors ; Logistic Models ; Smoking ; SARS-CoV-2 ; Male ; Female ; Stroke ; Neoplasms

Objective: To forecast mortality, age-standardized mortality, and probability of premature mortality from diabetes, and to simulate the impact of controlling risk factors by 2030 in China. Methods: We simulated the burden of disease from diabetes in six scenarios according to the development goals of risk factors control by the WHO and Chinese government. Based on the theory of comparative risk assessment and the estimates of the burden of disease for China from the Global Burden of Disease Study 2015, we used the proportional change model to project the number of deaths, age-standardized mortality, and probability of premature mortality from diabetes under different scenarios of risk factors control in 2030. Results: If the trends in exposures to risk factors from 1990 to 2015 continued. Mortality, age-standardized mortality, and probability of premature mortality from diabetes would increase to 32.57/100 000, 17.32/100 000, and 0.84% by 2030, respectively. During that time, mortality, age-standardized mortality and probability of premature mortality for males would all be higher than for females. If the goals of controlling risk factors were all achieved, the number of deaths from diabetes in 2030 would decrease by 62.10% compared to the predicted numbers based on the historical trends in exposure to risk factors, and the probability of premature mortality would drop to 0.29%. If only the exposure to a single risk factor were achieved by 2030, high fasting plasma glucose control would have the greatest impact on diabetes, resulting in a 56.00% reduction in deaths compared to the predicted numbers based on the historical trends, followed by high BMI (4.92%), smoking (0.65%), and low physical activity (0.53%). Conclusions: Risk factors control plays an important role in reducing the number of deaths, age-standardized mortality rate, and probability of premature mortality from diabetes. We suggest taking comprehensive measures to control relevant risk factors for certain populations and regions, to achieve the goal of reducing the burden of disease from diabetes as expected.
Male ; Female ; Humans ; Risk Factors ; Diabetes Mellitus/epidemiology* ; Mortality, Premature ; Smoking ; Cost of Illness ; China/epidemiology* ; Global Burden of Disease

Objective: Evidence is lacking regarding the combined effects of smoking and obesity on mortality from coronary heart disease in male veterans. This study aimed to explore the combined effect of smoking and obesity on coronary heart disease mortality in male veterans in China. Methods: A cohort of 1,268 male veterans from 22 veteran centers in Xi'an (Shaanxi Province, China) were followed up once every 2 years from February 1, 1987 to October 30, 2016. The endpoint was death from any cause. The hazard ratio ( Results: The total follow-up was 24394.21 person-years; each subject was followed up for a mean duration of 19.24 years. By the end of the study, of the 1,268 veterans, 889 had died, 363 were alive, and 16 were lost to follow-up. Cox regression analysis results revealed that current smoking ( Conclusion Our results suggest that obese veterans who smoke might be an important target population for coronary heart disease mortality control.
Aged ; China/epidemiology* ; Coronary Disease/mortality* ; Humans ; Male ; Middle Aged ; Obesity/complications* ; Proportional Hazards Models ; Risk Factors ; Smoking ; Veterans/statistics & numerical data*

PURPOSE: Details of patients hospitalized for asthma exacerbation in mainland China are lacking. To improve disease control and reduce economic burden, a large sample survey among this patient population is indispensable. This study aimed to investigate the clinical characteristics and outcomes of such patients.METHODS: A retrospective study was conducted on patients hospitalized for asthma exacerbation in 29 hospitals of 29 regions in mainland China during the period 2013 to 2014. Demographic features, pre-admission conditions, exacerbation details, and outcomes were summarized. Risk factors for exacerbation severity were analyzed.RESULTS: There were 3,240 asthmatic patients included in this study (57.7% females, 42.3% males). Only 28.0% used daily controller medications; 1,287 (39.7%) patients were not currently on inhaled corticosteroids. Acute upper airway infection was the most common trigger of exacerbation (42.3%). Patients with severe to life-threatening exacerbation tended to have a longer disease course, a smoking history, and had comorbidities such as hypertension, chronic obstructive pulmonary disease (COPD), and food allergy. The multivariate analysis showed that smoking history, comorbidities of hypertension, COPD, and food allergy were independent risk factors for more severe exacerbation. The number of patients hospitalized for asthma exacerbation varied with seasons, peaking in March and September. Eight patients died during the study period (mortality 0.25%).CONCLUSIONS: Despite enhanced education on asthma self-management in China during recent years, few patients were using daily controller medications before the onset of their exacerbation, indicating that more educational efforts and considerations are needed. The findings of this study may improve our understanding of hospital admission for asthma exacerbation in mainland China and provide evidence for decision-making.
Adrenal Cortex Hormones ; Asthma ; China ; Comorbidity ; Disease Progression ; Education ; Female ; Food Hypersensitivity ; Hospitalization ; Humans ; Hypertension ; Inpatients ; Medication Adherence ; Mortality ; Multivariate Analysis ; Pulmonary Disease, Chronic Obstructive ; Retrospective Studies ; Risk Factors ; Seasons ; Self Care ; Smoke ; Smoking

E-cigarettes (ECs) and heated tobacco products (HTPs) have become popular in Korea; hence, it is important to determine whether ECs and HTPs are less hazardous than combustible cigarettes (CCs). In general, the levels of harmful and potentially harmful constituents (HPHCs) are lower in ECs and HTPs than in CCs, although the levels of some heavy metals and HPHCs are higher in ECs and HTPs than in CCs. ECs and HTPs showed possible adverse effects on respiratory and cardiovascular system function, which could result in chronic respiratory and cardiovascular system diseases in animals. An analysis of biomarkers showed that ECs had possible adverse health effects on the respiratory and cardiovascular systems, in addition the effects of HTP on respiratory and cardiovascular systems were not significantly different than those of CC. Epidemiological studies identified positive associations between EC use and asthma, chronic obstructive pulmonary disease, and myocardial infarction. Only one epidemiologic study reported a positive association between ever using HTPs and asthma, allergic rhinitis, and atopic dermatitis among adolescents. Modelling studies of ECs did not show consistent findings regarding the health effects compared with those of CCs. A modeling study of HTPs, performed by tobacco industry, has been criticized for many unfounded assumptions. Lower levels of HPHCs in ECs and HTPs, compared with those in CCs, cannot be directly translated into health benefits because the relationship between exposure and effects is non-linear for cardiovascular diseases and because the duration of exposure is more important than the level of exposure in determining lung cancer mortality. In summary, there is no definite health benefit in using ECs or HTPs instead of CCs, for the individual or the population; hence, tobacco control measures should be the same for ECs, HTPs, and CCs. ECs and HTPs have become popular in Korea; hence, it is important to determine whether ECs and HTPs are less hazardous than CCs.
Adolescent ; Animals ; Asthma ; Biomarkers ; Cardiovascular Diseases ; Cardiovascular System ; Dermatitis, Atopic ; Electronic Cigarettes ; Epidemiologic Studies ; Hot Temperature ; Humans ; Insurance Benefits ; Korea ; Lung Neoplasms ; Metals, Heavy ; Mortality ; Myocardial Infarction ; Pulmonary Disease, Chronic Obstructive ; Rhinitis, Allergic ; Smoking ; Tobacco Industry ; Tobacco Products ; Tobacco

Cancer incidence appears to be increased in both type 1 and type 2 diabetes mellitus (DM). DM represents a risk factor for cancer, particularly hepatocellular, hepatobiliary, pancreas, breast, ovarian, endometrial, and gastrointestinal cancers. In addition, there is evidence showing that DM is associated with increased cancer mortality. Common risk factors such as age, obesity, physical inactivity and smoking may contribute to increased cancer risk in patients with DM. Although the mechanistic process that may link diabetes to cancer is not completely understood yet, biological mechanisms linking DM and cancer are hyperglycemia, hyperinsulinemia, increased bioactivity of insulin-like growth factor 1, oxidative stress, dysregulations of sex hormones, and chronic inflammation. However, cancer screening rate is significantly lower in people with DM than that in people without diabetes. Evidence from previous studies suggests that some medications used to treat DM are associated with either increased or reduced risk of cancer. However, there is no strong evidence supporting the association between the use of anti-hyperglycemic medication and specific cancer. In conclusion, all patients with DM should be undergo recommended age- and sex appropriate cancer screenings to promote primary prevention and early detection. Furthermore, cancer should be screened in routine diabetes assessment.
Breast ; Diabetes Mellitus ; Diabetes Mellitus, Type 2 ; Early Detection of Cancer ; Gastrointestinal Neoplasms ; Gonadal Steroid Hormones ; Humans ; Hyperglycemia ; Hyperinsulinism ; Incidence ; Inflammation ; Mass Screening ; Mortality ; Obesity ; Oxidative Stress ; Pancreas ; Primary Prevention ; Risk Factors ; Smoke ; Smoking

OBJECTIVES: Serious mental illnesses and substance use disorder have a high level of early mortality. This study aimed to identify the causes of their deaths among patients who had been under the care of community mental health and welfare centers and addiction management centers.METHODS: We collected information on deceased individuals, whose mortality was attributable to various causes of death, from 10 Community Mental Health Centers and Addiction Centers in Gwangju Metropolitan City. The primary variables collected included psychiatric diagnosis, cause of death, smoking habits, admission history, and several socio-demographic factors.RESULTS: A total of 214 deaths among service users were studies. In Community Mental Health Centers, 109 deaths were identified, with causes that may be itemized as follows : 27 suicides(24.8%), 56 physical illnesses( 51.4%), 14 accidents(12.8%), and 12 unknown causes(11.0%). Among the physical illnesses reported, cardiovascular illness and cancer were the most common causes of death. A history of frequent admission was common among those that had died by suicide(88.9%), compared with that observed among general service users(62.0%). In Addiction Centers, 105 deaths were identified, with causes that may be itemized as follows : 7 suicides(6.7%), 71 physical illnesses(68.3%), 7 accidents(6.7%), and 20 unknown causes(19.0%). Among the physical illnesses reported, sudden death, hepatic disorder, cancer, and cardiovascular disorder were the most common causes of death.CONCLUSION: Case managers should give due consideration to and carefully manage the physical health of individuals accessing mental health services via community mental health centers and addiction centers.
Case Management ; Cause of Death ; Community Mental Health Centers ; Death, Sudden ; Gwangju ; Humans ; Mental Disorders ; Mental Health Services ; Mental Health ; Mortality ; Smoke ; Smoking ; Substance-Related Disorders ; Suicide

BACKGROUND: Dietary patterns have a significant impact on prognosis, recurrence, and survival in patients with cancer. This study investigated dietary patterns using the Diet Quality Index-International (DQI-I) in cancer survivors compared to those in the general population without cancer.METHODS: Using the Korea National Health and Nutrition Examination Survey VI data, cancer survivors were defined as those diagnosed with cancer more than 1 year before the survey. The associations between possible predictors and the DQI-I score were examined using t-tests and analysis of variance. Adjusted multiple linear regression analysis was performed to compare the differences in DQI-I scores between cancer survivors and controls.RESULTS: In univariate analysis of 9,351 subjects (433 cancer survivors and 8,918 controls), age, sex, body mass index, marital status, education level, income, residential area, smoking status, and alcohol consumption were associated with the DQI-I score (each P-value < 0.05). After adjustment, cancer survivors showed higher DQI-I scores than the controls (67.40±8.90 vs. 65.50±9.40, P-value=0.007). In subgroup analysis, cancer survivors within 5 years after cancer diagnosis showed higher DQI-I scores than the controls (68.70±8.30 vs. 65.50±9.40, P-value=0.034), whereas those who survived beyond 5 years post-diagnosis did not show significant differences from the controls (66.70±9.20 vs. 65.50±9.40, P-value=0.063).CONCLUSION: Cancer survivors within 5 years of cancer diagnosis showed better dietary patterns than those in the general population. However, the differences were not observed after 5 years post-diagnosis. To reduce the risks of second primary cancer and mortality, targeted inventions for dietary habits are necessary for long-term survivors of cancer.
Alcohol Drinking ; Body Mass Index ; Diagnosis ; Diet ; Education ; Food Habits ; Humans ; Inventions ; Korea ; Linear Models ; Marital Status ; Mortality ; Neoplasms, Second Primary ; Nutrition Surveys ; Prognosis ; Recurrence ; Smoke ; Smoking ; Survivors

BACKGROUND: Being common, mild anemia is sometimes considered a mere consequence of aging; however, aging alone is unlikely to lead to anemia. Therefore, this study aimed to investigate the association between mild anemia and total mortality and cause-specific mortality in apparently healthy elderly subjects. METHODS: A retrospective cohort study was conducted on 10,114 apparently healthy elderly individuals who underwent cancer screening and routine medical check-ups at one Health Promotion Center between May 1995 and December 2007. We defined mild anemia as a hemoglobin concentration between 10.0 g/dL and 11.9 g/dL in women and between 10.0 g/dL and 12.9 g/dL in men. We assessed the relationship between the overall, cardiovascular (CV), and cancer mortality and mild anemia using Cox proportional hazard models. RESULTS: Mild anemia was present in 143 men (3.1%) and 246 women (6.1%). During an average follow-up of 7.6 years, 495 deaths occurred, including 121 CV and 225 cancer deaths. After adjustments, mild anemia was associated with a 128% increase in the risk of all-cause mortality (hazard ratio [HR], 2.28; 95% confidence interval [CI], 1.54–3.37) in men and cancer-related mortality (HR, 2.25; 95% CI, 1.22–4.13), particularly lung cancer (HR, 2.70; 95% CI, 1.03–7.08) in men, but not in women. In the subgroup analyses based on smoking status, obesity, and age, the associations were more prominent in never or former smoker groups and the older group. CONCLUSION: The present study shows that overall and cancer-related mortality was associated with mild anemia in elderly men. Future prospective studies are needed to consolidate our findings.
Aged ; Aging ; Anemia ; Cause of Death ; Cohort Studies ; Early Detection of Cancer ; Female ; Follow-Up Studies ; Health Promotion ; Humans ; Lung Neoplasms ; Male ; Mortality ; Obesity ; Proportional Hazards Models ; Prospective Studies ; Retrospective Studies ; Smoke ; Smoking

BACKGROUND: We evaluated the effects of socioeconomic factors and psychosocial factors, both individually and combined, on all-cause mortality risk (mortality risk). METHODS: We conducted an 8-year (2006–2014) longitudinal analysis of 10,247 individuals who took part in the Korean Longitudinal Study of Aging, a nationwide survey of people aged 45–79 years. Socioeconomic vulnerability (SEV) was assessed with factors such as education, household income, commercial health insurance, and residential area. Mental health (MH) was assessed with factors such as depression, social engagement, and life satisfaction. The covariates were age, gender, marital status, cohabiting, number of chronic diseases, and health behaviors such as regular exercise, smoking, and alcohol intake. We used a Cox proportional hazard analysis to investigate the effects of SEV and MH on mortality risk and also to analyze the superimposed effects of SEV-MH on mortality risk. RESULTS: After the controlling for the covariates, high SEV and negative MH were found to be strong predictors of all-cause mortality. The highest quartile of SEV (vs. lowest) had a 1.70 times greater mortality risk (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.24–2.33) and the highest quartile of MH (vs. lowest) had a 2.13 times greater mortality risk (HR, 2.13; 95% CI, 1.72–2.64). Being in the highest quartile for both SEV and MH (vs. lowest) increased mortality risk more than 3 times (HR, 3.11; 95% CI, 2.20–4.40). CONCLUSION: High SEV and negative MH were independently associated with increased mortality risk, and their superimposed effects were associated with an increased risk of mortality.
Aging ; Chronic Disease ; Depression ; Education ; Family Characteristics ; Health Behavior ; Insurance, Health ; Longitudinal Studies ; Marital Status ; Mental Health ; Mortality ; Psychology ; Smoke ; Smoking ; Socioeconomic Factors