Objective The coronavirus disease 2019 (COVID-19) pandemic has had a serious impact on health all over the world. Cancer patient, whose immunity is often compromised, faces a huge challenge. Currently, some COVID-19 vaccines are being developed and applied on general population; however, whether cancer patients should take COVID-19 vaccine remains unknown. Our study aimed to explore the knowledge, attitude, acceptance, and predictors of intention to receive the COVID-19 vaccine among cancer patients in Eastern China. Methods A cross-sectional study was conducted in Eastern China from June 17th to September 3rd, 2021. Patients were selected using a convenience sampling method. A self-report questionnaire was developed to assess knowledge about the COVID-19 vaccine, attitude towards the vaccine and acceptance of the vaccine; following a review of similar studies previously published in the scientific literature, multivariate logistic regression analysis was used to determine the predictors associated with COVID-19 vaccine acceptance. Results A total of 2158 cancer patients were enrolled in this study. The rate of vaccine hesitancy was 24.05% (519/2158); further, among the participants of vaccine acceptance, 767 had taken COVID-19 vaccine (35.54%), and 872 were willing to get vaccinated (40.01%). A total of 24 variables including demographic characteristics, clinical status of cancer, impact of COVID-19 pandemic on study participants, patients’ knowledge about the COVID-19 vaccine, and attitude towards the vaccine, had significant differences between the “vaccine hesitancy” population and “vaccine acceptance” population. Multivariate logistic regression analysis indicated that parameters including alcohol consumption (odds ratio [OR] = 1.849; 95% confidence interval [CI]: 1.375–2.488; P -reference [ P -Ref] < 0.001 vs non-drinkers), income impacted by COVID-19 pandemic (OR = 1.930, 2.037 and 2.688 for mild, moderate, and severe impact, respectively; all P -Ref < 0.01 vs no impact), knowledge of how the vaccine was developed (OR = 1.616; 95% CI: 1.126–2.318; P -Ref = 0.009 vs unknown), believing in the safety of the vaccine (OR = 1.502; 95% CI: 1.024–2.203; P -Ref = 0.038 vs denying the safety of vaccine), willingness to pay for the vaccine (OR = 3.042; 95% CI: 2.376–3.894; P -Ref < 0.001 vs unwilling), and willingness to recommend families and friends to get vaccinated (OR = 2.744; 95% CI: 1.759–4.280; P -Ref < 0.001 vs do not recommend) were contributors to vaccine acceptance. While such as being retired (OR = 0.586; 95% CI: 0.438–0.784; P -Ref < 0.001 vs...
Tai Chi for more than 8 weeks has short-term ameliorative effects on CRF, especially among patients with breast and lung cancer. Its beneficial effects are superior to physical exercise and psychological support. It remains unclear whether there are long-term benefits, and further study is needed.
ObjectiveTo examine the association between sleep quality and military training injury (MTI) in recruits during basic combat training (BCT).MethodsParticipants were new recruits undergoing 12-week military BCT in China. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI) . Participants were classified into two groups based on their sleep quality (group 1, good sleep, PSQI score <7; group 2, poor sleep, PSQI score ≥7) at the start of BCT. Logistic regression analysis was conducted to test whether baseline PSQI score was associated with MTI incidence during BCT.ResultsA total of 563 participants were included. The incidence of MTI was significantly lower in group 1 (48/203, 23.6%) than in group 2 (150/360, 41.7%) (p<0.001). Logistic regression analysis showed that the odds of MTI were 2.307 times higher in group 2 than in group 1 without adjusting for confounders: OR=2.307, p<0.001. When the model was adjusted for age, ethnicity, educational level and family income (OR=2.285) or for the previous confounders plus body mass index (OR=2.377), the results were similar (both p<0.001). Analysis of the types of initial MTI showed that group 2 had about 2.1 times higher odds of soft tissue injury than group 1 (p<0.001 in all the three models).ConclusionSleep quality before BCT influences the incidence of MTI, especially of soft tissue injury.
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