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BackgroundThe COVID-19 outbreak has exerted a great deal of psychological pressure on Iranian health workers and the general population. In the present study, the prevalence of anxiety and depression symptoms along with the related variables in this epidemic were investigated. MethodAn online cross-sectional study was conducted for the general public and healthcare workers in IRAN using a questionnaire comprised of demographic questions and Hospital Anxiety and Depression Scale. Chi square test was used to compare categorical variables, and univariate and multivariate logistic regression models were conducted. ResultsOf the 2045 participants,1136 (65.6%) were considered to have moderate and severe anxiety symptoms, and 865(42.3%) had moderate and severe depression symptoms. Based on the logistic regression models, the prevalence of anxiety was higher in the females than in the males (OR=1.4, 95% CI: 1.123-1.643, P=.002); the prevalence of anxiety was significantly higher in those aged 30-39 years than in other age groups (OR=1.6, 95% CI: 1.123-2.320, P=0.001); furthermore, the prevalence of anxiety and depression was significantly higher in doctors and nurses compared with other occupations (OR=1.9, 95% CI: 1.367-2.491, P< 0.001) and(OR=1.5, 95% CI: 1.154-2.021, P=0.003). In addition, the prevalence of anxiety symptoms in the likely-infected COVID-19 group was higher than in the noninfected COVID-19 group (OR=1.35, 95% CI: 1.093-1.654, P=0.005). ConclusionsRegarding the high prevalence of anxiety and depression symptoms, especially among health care workers, appropriate psychological/psychiatric intervention necessitates.
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OBJECTIVES:: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer. METHODS:: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups. RESULTS:: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively. CONCLUSIONS:: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.
Subject(s)
Female , Humans , Male , Cohort Studies , Follow-Up Studies , Incidence , Iran , Lung Neoplasms , Lung , Models, Statistical , Multivariate Analysis , Retrospective Studies , Small Cell Lung Carcinoma , Survival RateABSTRACT
OBJECTIVES@#: Investigating the survival of patients with cancer is vitally necessary for controlling the disease and for assessing treatment methods. This study aimed to compare various statistical models of survival and to determine the survival rate and its related factors among patients suffering from lung cancer.@*METHODS@#: In this retrospective cohort, the cumulative survival rate, median survival time, and factors associated with the survival of lung cancer patients were estimated using Cox, Weibull, exponential, and Gompertz regression models. Kaplan-Meier tables and the log-rank test were also used to analyze the survival of patients in different subgroups.@*RESULTS@#: Of 102 patients with lung cancer, 74.5% were male. During the follow-up period, 80.4% died. The incidence rate of death among patients was estimated as 3.9 (95% confidence [CI], 3.1 to 4.8) per 100 person-months. The 5-year survival rate for all patients, males, females, patients with non-small cell lung carcinoma (NSCLC), and patients with small cell lung carcinoma (SCLC) was 17%, 13%, 29%, 21%, and 0%, respectively. The median survival time for all patients, males, females, those with NSCLC, and those with SCLC was 12.7 months, 12.0 months, 16.0 months, 16.0 months, and 6.0 months, respectively. Multivariate analyses indicated that the hazard ratios (95% CIs) for male sex, age, and SCLC were 0.56 (0.33 to 0.93), 1.03 (1.01 to 1.05), and 2.91 (1.71 to 4.95), respectively.@*CONCLUSIONS@#: Our results showed that the exponential model was the most precise. This model identified age, sex, and type of cancer as factors that predicted survival in patients with lung cancer.
