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1.
Rev Assoc Med Bras (1992) ; 68(2): 222-226, 2022 Feb.
Article in English | MEDLINE | ID: mdl-35239886

ABSTRACT

OBJECTIVE: This study aimed to investigate the suboptimal health status or subhealth status and their relationship with mental health and smartphone addiction among Chinese medical students. METHODS: A cross-sectional survey was conducted at Wannan Medical College of China in Wuhu. RESULTS: A total of 2,741 students were surveyed in October 2020. Of 2,741 Chinese medical students who completed the survey, 904 (33%) participants reported to have had subhealth status. Anxiety status (p<0.001), depression status (p<0.001), and smartphone addiction status (p<0.001) have strong association with subhealth status. CONCLUSION: This survey shows that the detection rate of subhealth status in Chinese medical students was 33%. Anxiety, depression, and smartphone addiction students had a higher detection rate of subhealth status. The anxiety, depression, and smartphone addiction of Chinese medical students are associated with subhealth status.


Subject(s)
Students, Medical , China/epidemiology , Cross-Sectional Studies , Humans , Internet Addiction Disorder , Mental Health , Prevalence
2.
Rev. Assoc. Med. Bras. (1992, Impr.) ; Rev. Assoc. Med. Bras. (1992, Impr.);68(2): 222-226, Feb. 2022. tab
Article in English | LILACS | ID: biblio-1365353

ABSTRACT

SUMMARY OBJECTIVE: This study aimed to investigate the suboptimal health status or subhealth status and their relationship with mental health and smartphone addiction among Chinese medical students. METHODS: A cross-sectional survey was conducted at Wannan Medical College of China in Wuhu. RESULTS: A total of 2,741 students were surveyed in October 2020. Of 2,741 Chinese medical students who completed the survey, 904 (33%) participants reported to have had subhealth status. Anxiety status (p<0.001), depression status (p<0.001), and smartphone addiction status (p<0.001) have strong association with subhealth status. CONCLUSION: This survey shows that the detection rate of subhealth status in Chinese medical students was 33%. Anxiety, depression, and smartphone addiction students had a higher detection rate of subhealth status. The anxiety, depression, and smartphone addiction of Chinese medical students are associated with subhealth status.


Subject(s)
Students, Medical , China/epidemiology , Prevalence , Cross-Sectional Studies , Internet Addiction Disorder
3.
Rev Assoc Med Bras (1992) ; 67(7): 1010-1014, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34817515

ABSTRACT

OBJECTIVE: This study analyzes the suboptimal health status (SHS) and influencing factors of nurses in Wuhan Hospital, China during the coronavirus disease 2019 (COVID-19) outbreak. METHODS: This study was conducted through an online survey, from March 1-7, 2020, in Wuhan, China. The data collection tools, such as Suboptimal Health Status Questionnaires, Generalized Anxiety Disorder, and Chinese version of the Perceived Stress Scale, were used. RESULTS: The average value of suboptimal health status was 28.44 (standard deviation=15.15). The overall prevalence of SHS was 35.1%. Suboptimal health status of the nurses was significantly different based on their gender, age, whether they directly care for COVID-19 patients, anxiety level, and stress perception expect education. Multivariate analysis found that average sleep times per day, female, age, directly participate in the rescue of COVID-19, self-infection, and anxiety were the influencing factors of suboptimal health status. CONCLUSIONS: First-line nurses have poor suboptimal health status in Wuhan.


Subject(s)
COVID-19 , Nurses , Anxiety , China/epidemiology , Cross-Sectional Studies , Depression , Disease Outbreaks , Female , Health Status , Humans , SARS-CoV-2 , Surveys and Questionnaires
4.
Rev Assoc Med Bras (1992) ; 67(9): 1317-1321, 2021 Sep.
Article in English | MEDLINE | ID: mdl-34816927

ABSTRACT

OBJECTIVE: This study aimed to assess the attitudes of Chinese residents toward COVID-19 vaccines and explore the potential drivers for Chinese residents' vaccine hesitancy. METHODS: A cross-sectional survey was conducted from February 16 to March 16, 2021, by administering an online questionnaire to the Chinese residents. RESULTS: Of 5240 residents who completed the survey, 464 (8.9%) participants reported to have had one shot, and 348 (6.6%) reported to have had 2 shots. At the time the questionnaire was administered, 2298 (43.9%) participants reported they wanted to get vaccinated, while 2255 (43.0%) declared that they still did not know, and 687 (13.1%) respondents declared vaccine refusal. Overall, 2255 (43%) participants were categorized as vaccine hesitancy. Female participants (p=0.000), <20 years old (p=0.000), have low risk of COVID-19 (p=0.000) infection and strong associations of vaccine hesitancy. eHealth literacy was a protective factor. CONCLUSIONS: The results of this study show high rates of vaccine hesitancy in China. This could pose a serious threat to the preventive measures that aimed at controlling COVID-19 spread in the country. The government and different media platforms should encourage the dissemination of correct information about vaccines, the communities and medical staff to improve residents' knowledge about vaccines, and strive to improve residents' electronic health literacy.


Subject(s)
COVID-19 , Vaccines , Adult , COVID-19 Vaccines , China , Cross-Sectional Studies , Female , Humans , Policy , SARS-CoV-2 , Vaccination , Young Adult
5.
Rev. Assoc. Med. Bras. (1992, Impr.) ; Rev. Assoc. Med. Bras. (1992, Impr.);67(9): 1317-1321, Sept. 2021. tab
Article in English | LILACS | ID: biblio-1351470

ABSTRACT

SUMMARY OBJECTIVE: This study aimed to assess the attitudes of Chinese residents toward COVID-19 vaccines and explore the potential drivers for Chinese residents' vaccine hesitancy. METHODS: A cross-sectional survey was conducted from February 16 to March 16, 2021, by administering an online questionnaire to the Chinese residents. RESULTS: Of 5240 residents who completed the survey, 464 (8.9%) participants reported to have had one shot, and 348 (6.6%) reported to have had 2 shots. At the time the questionnaire was administered, 2298 (43.9%) participants reported they wanted to get vaccinated, while 2255 (43.0%) declared that they still did not know, and 687 (13.1%) respondents declared vaccine refusal. Overall, 2255 (43%) participants were categorized as vaccine hesitancy. Female participants (p=0.000), <20 years old (p=0.000), have low risk of COVID-19 (p=0.000) infection and strong associations of vaccine hesitancy. eHealth literacy was a protective factor. CONCLUSIONS: The results of this study show high rates of vaccine hesitancy in China. This could pose a serious threat to the preventive measures that aimed at controlling COVID-19 spread in the country. The government and different media platforms should encourage the dissemination of correct information about vaccines, the communities and medical staff to improve residents' knowledge about vaccines, and strive to improve residents' electronic health literacy.


Subject(s)
Humans , Female , Adult , Young Adult , Vaccines , COVID-19 , China , Cross-Sectional Studies , Vaccination , Policy , COVID-19 Vaccines , SARS-CoV-2
6.
Rev. Assoc. Med. Bras. (1992, Impr.) ; Rev. Assoc. Med. Bras. (1992, Impr.);67(7): 1010-1014, July 2021. tab
Article in English | LILACS | ID: biblio-1346949

ABSTRACT

SUMMARY OBJECTIVE: This study analyzes the suboptimal health status (SHS) and influencing factors of nurses in Wuhan Hospital, China during the coronavirus disease 2019 (COVID-19) outbreak. METHODS: This study was conducted through an online survey, from March 1-7, 2020, in Wuhan, China. The data collection tools, such as Suboptimal Health Status Questionnaires, Generalized Anxiety Disorder, and Chinese version of the Perceived Stress Scale, were used. RESULTS: The average value of suboptimal health status was 28.44 (standard deviation=15.15). The overall prevalence of SHS was 35.1%. Suboptimal health status of the nurses was significantly different based on their gender, age, whether they directly care for COVID-19 patients, anxiety level, and stress perception expect education. Multivariate analysis found that average sleep times per day, female, age, directly participate in the rescue of COVID-19, self-infection, and anxiety were the influencing factors of suboptimal health status. CONCLUSIONS: First-line nurses have poor suboptimal health status in Wuhan.


Subject(s)
Humans , Female , COVID-19 , Nurses , Anxiety , China/epidemiology , Health Status , Disease Outbreaks , Cross-Sectional Studies , Surveys and Questionnaires , Depression , SARS-CoV-2
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