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1.
J Affect Disord ; 294: 816-823, 2021 Nov 01.
Article in English | MEDLINE | ID: covidwho-1330920

ABSTRACT

BACKGROUND: This study aimed to investigate factors related to high stress levels among the general population in China during the novel coronavirus disease (COVID-19) pandemic when its containment measures were in place and to identify the most stressed populations. METHODS: A nationwide study was conducted online among 5,039 adults in all 31 provinces in mainland China between March 1 and March 16, 2020. Bivariate analysis and multivariate logistic regressions were performed to explore the related factors of high perceived stress. RESULTS: Among all respondents, 36.0% reported a high level of stress. Respondents in Hubei province (the epicenter) were more likely to report high stress levels than those in low epidemic areas. Respondents who went outside every day or every other day reported greater odds of experiencing a high level of stress than those who went outside every 8-14 days. People with higher risk perceptions were more prone to report high stress levels. Respondents aged 16-35 were more likely to report high stress than respondents aged 46 or older. Lower household income and lower health literacy were related to increased odds of reporting high stress levels. LIMITATIONS: We used a convenience sample and self-reported survey data. CONCLUSIONS: We identified risk factors for high stress levels related to the epidemic (epidemic intensity in residential areas, risk perception, and frequency of going outside) and other vulnerabilities (younger age, low household income, low health literacy). Our findings can directly inform interventions and policies for mitigating stress among the general population for this or future epidemics.


Subject(s)
COVID-19 , SARS-CoV-2 , Adult , China/epidemiology , Cross-Sectional Studies , Humans , Pandemics , Stress, Psychological/epidemiology , Surveys and Questionnaires
2.
J Infect ; 81(6): 911-922, 2020 12.
Article in English | MEDLINE | ID: covidwho-899183

ABSTRACT

OBJECTIVES: To describe the risk perception and behavioral responses among Chinese adults and to assess the associations of risk communication, risk perception, and behavioral adherence during the COVID-19 epidemic. METHODS: A national cross-sectional survey was conducted in 31 provinces in China with a total number of 5039 effective questionnaires collected. The questionnaire included sociodemographic characteristics, COVID-19 risk communication factors, mask and soap supply, and engagement in preventive behaviors during the epidemic. Multivariable Logistic regression was used. RESULTS: An overwhelmingly high prevalence of Chinese people was exposed to COVID-19 related risk communication messages (86.5%) and an overwhelming majority of respondents reported engagement in preventive behaviors (88.3%). Exposed to risk communication messages were positively associated with engaging in preventive behaviors, whereas, believing in misinformation were negatively associated with wearing masks when in public (p < 0.01). Respondents encountered an inadequate supplies of personal protection materials were negatively associated with their outdoor hygiene behaviors. People who were male, in an older age group, minorities, with lower education, with lower income, and lived in rural area showed lower exposures to risk communication messages. CONCLUSIONS: Future risk communication practices are recommended to better monitor population risk perceptions and pay attention to socio-demographically disadvantaged people.


Subject(s)
COVID-19/prevention & control , Communication , Health Behavior , Adult , COVID-19/epidemiology , COVID-19/psychology , China , Cross-Sectional Studies , Female , Health Knowledge, Attitudes, Practice , Humans , Male , Middle Aged , Perception , Risk Factors , SARS-CoV-2 , Socioeconomic Factors , Surveys and Questionnaires , Young Adult
3.
MMWR Morb Mortal Wkly Rep ; 69(27): 864-869, 2020 Jul 10.
Article in English | MEDLINE | ID: covidwho-640057

ABSTRACT

As of July 5, 2020, approximately 2.8 million coronavirus disease 2019 (COVID-19) cases and 130,000 COVID-19-associated deaths had been reported in the United States (1). Populations historically affected by health disparities, including certain racial and ethnic minority populations, have been disproportionally affected by and hospitalized with COVID-19 (2-4). Data also suggest a higher prevalence of infection with SARS-CoV-2, the virus that causes COVID-19, among persons experiencing homelessness (5). Safety-net hospitals,† such as Boston Medical Center (BMC), which provide health care to persons regardless of their insurance status or ability to pay, treat higher proportions of these populations and might experience challenges during the COVID-19 pandemic. This report describes the characteristics and clinical outcomes of adult patients with laboratory-confirmed COVID-19 treated at BMC during March 1-May 18, 2020. During this time, 2,729 patients with SARS-CoV-2 infection were treated at BMC and categorized into one of the following mutually exclusive clinical severity designations: exclusive outpatient management (1,543; 56.5%), non-intensive care unit (ICU) hospitalization (900; 33.0%), ICU hospitalization without invasive mechanical ventilation (69; 2.5%), ICU hospitalization with mechanical ventilation (119; 4.4%), and death (98; 3.6%). The cohort comprised 44.6% non-Hispanic black (black) patients and 30.1% Hispanic or Latino (Hispanic) patients. Persons experiencing homelessness accounted for 16.4% of patients. Most patients who died were aged ≥60 years (81.6%). Clinical severity differed by age, race/ethnicity, underlying medical conditions, and homelessness. A higher proportion of Hispanic patients were hospitalized (46.5%) than were black (39.5%) or non-Hispanic white (white) (34.4%) patients, a finding most pronounced among those aged <60 years. A higher proportion of non-ICU inpatients were experiencing homelessness (24.3%), compared with homeless patients who were admitted to the ICU without mechanical ventilation (15.9%), with mechanical ventilation (15.1%), or who died (15.3%). Patient characteristics associated with illness and clinical severity, such as age, race/ethnicity, homelessness, and underlying medical conditions can inform tailored strategies that might improve outcomes and mitigate strain on the health care system from COVID-19.


Subject(s)
Chronic Disease/epidemiology , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Ethnicity/statistics & numerical data , Hospitalization/statistics & numerical data , Ill-Housed Persons/statistics & numerical data , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Racial Groups/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Boston/epidemiology , COVID-19 , Coronavirus Infections/ethnology , Female , Hospitals, Urban , Humans , Male , Middle Aged , Pandemics , Pneumonia, Viral/ethnology , Safety-net Providers , Young Adult
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