Predictors for Depression, Sleep Disturbance, and Subjective Pain among Inpatients with Depressive Disorders during the COVID-19 Pandemic: A Cross-Sectional StudyArticle Published on 2021-06-172022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, MERS, SARS, [키워드] alcohol Analysis Anxiety collected coronavirus disease COVID-19 COVID-19 pandemic cross-sectional demographic variable Depression disorder disorders disturbance Factor female subjects Generalizability identify Impact independent predictors Inpatient Level Linear regression Linear regression model Multivariate analysis Pain pandemic participant Patient Potential predictor psychiatric inpatient Psychological Questionnaires recruited Sleep Sleep disturbance social impact subject Subjective trauma unipolar depression [DOI] 10.3390/ijerph18126523 PMC 바로가기 [Article Type] Article
Eating Motives and Other Factors Predicting Emotional Overeating during COVID-19 in a Sample of Polish Adults폴란드 성인 표본에서 COVID-19 기간 동안 정서적 과식을 예측하는 섭식 동기 및 기타 요인Clinical Trial Published on 2021-05-132022-08-13 Journal: Nutrients [Category] SARS, 임상, [키워드] activity Affect affect regulation age alternative method alternative methods BMI Contact contact with COVID-19 COVID-19 pandemic COVID-19-related stress demographic variable Demographic variables dominant eating eating motives Effect emotional emotional overeating Factor Final Gender generate Health help hunger hypothesised individual lead mechanism motivation negative emotion negative emotions Other overeating participant patients predictor R 2 Regression Regulation resource resulting Sample significantly social contact socio-demographic survey Stress survey weight control weight control) [DOI] 10.3390/nu13051658 PMC 바로가기 [Article Type] Clinical Trial
The COVID-19-Related Lockdown in Qatar: Associations Among Demographics, Social Distancing, Mood Changes, and Quality of LifeOriginal Article Published on 2021-05-112022-10-30 Journal: International Journal of Mental Health and Addiction [Category] COVID-19, [키워드] absence Acceptance of social distancing Affect age appear association avoidance changes consequence coronavirus disease correlated country COVID-19 COVID-19 pandemic demographic variable Demographic variables domain effective examined Gender highlight human-to-human transmission indicated individual infected with COVID-19 less life majority mental health middle mood Mood changes onset of symptoms participant Participants percentage physical positive Psychological Psychological well-being public health Quality Quality of life reported social distancing Spread Treatment vaccination variety [DOI] 10.1007/s11469-021-00536-9 PMC 바로가기 [Article Type] Original Article
The use of health care during the SARS-CoV-2 pandemic: repeated cross-sectional survey of the adult Swiss general populationObservational Study Published on 2021-05-032022-10-04 Journal: BMC Public Health [Category] SARS, 임상, [키워드] acquisition Adults age Care conducted COVID-19 COVID-19 pandemic cross-sectional survey demographic variable distribution Ecology of medical care estimate First wave General population general practitioner Health Health care independent individual medical services medication pandemic pharmacies Pharmacy physician Practitioner primary care problem problems remained repeated resource Result SARS-CoV-2 seeking significant decrease significant increase supplementary material Swiss Switzerland Symptom the median the SARS-CoV-2 variable while women [DOI] 10.1186/s12889-021-10854-1 PMC 바로가기 [Article Type] Observational Study
The Significance of Demographic Variables on Psychosocial Health from the Early Stage and Nine Months after the COVID-19 Pandemic Outbreak. A Cross-National StudyArticle Published on 2021-04-202022-10-29 Journal: International Journal of Environmental Research an [Category] Coronavirus, MERS, SARS, [키워드] adjusted Analysis conducted contribute coronavirus country COVID-19 COVID-19 pandemic Cross-national study cross-sectional demographic demographic variable Demographic variables difference early stage employment Factor Gender Generalized linear model GLM Health implementation individual lockdown loneliness marginal mean mental health Month Multiple linear regression nine Norway outcome measure outcomes Psychosocial Psychosocial health Quality of life question reducing response Significance Social distancing measure Sociodemographic stability Stage subgroup t -test USA variable Well-being were used [DOI] 10.3390/ijerph18084345 PMC 바로가기 [Article Type] Article
The Impact of Intolerance of Uncertainty on Negative Emotions in COVID-19: Mediation by Pandemic-Focused Time and Moderation by Perceived EfficacyArticle Published on 2021-04-152022-10-29 Journal: International Journal of Environmental Research an [Category] COVID-19, MERS, SARS, [키워드] Affect association Complete COVID-19 COVID-19 pandemic demographic variable effective intervention Efficacy emotion emotional global pandemic Impact individual intolerance intolerance of uncertainty measure mechanism mediation mental health professional Moderation negative negative emotion negative emotions pandemic pandemic-focused time participant Perceived perceived efficacy problems recruited reduce significantly suggested time Tolerance Uncertainty [DOI] 10.3390/ijerph18084189 PMC 바로가기 [Article Type] Article
Using demographic data to understand the distribution of H1N1 and COVID-19 pandemics cases among federal entities and municipalities of MexicoBiogeography Published on 2021-03-242022-10-28 Journal: PeerJ [Category] COVID-19, [키워드] affected Analysis association confirmed case contagious Control correlated correlation COVID-19 COVID-19 pandemic database death deaths demographic data demographic factor demographic variable distribution element entity evaluate greater H1N1 H1N1 Influenza Pandemic health emergency indicated Infection infections less Local magnitude Mexico Mexico City National novel coronavirus disease observé Outbreaks P -value pandemic Pandemics population density Population size positively correlated Registered Result Spearman Spread Variation was used were recorded [DOI] 10.7717/peerj.11144 PMC 바로가기 [Article Type] Biogeography
Mental Health, Greenness, and Nature Related Behaviors in the Adult Population of Stockholm County during COVID-19-Related RestrictionsArticle Published on 2021-03-232022-10-29 Journal: International Journal of Environmental Research an [Category] Coronavirus, SARS, [키워드] Anxiety average Behavior buffer changed cognitive Contact COVID-19 COVID-19 pandemic demographic variable extreme greenness individual Isolation less Mental mental health Nature neighborhood normalized pandemic Population provided psychological factors quantified reported Resilience response restriction significantly higher social isolation societal change Stockholm County Stress Support symptoms of depression vegetation [DOI] 10.3390/ijerph18063303 PMC 바로가기 [Article Type] Article
The impact of non-pharmaceutical interventions, demographic, social, and climatic factors on the initial growth rate of COVID-19: A cross-country study비약물적 개입, 인구통계학적, 사회적, 기후적 요인이 COVID-19의 초기 성장률에 미치는 영향: 크로스 컨트리 연구Article Published on 2021-03-152022-09-11 Journal: The Science of the total environment [Category] SARS, 치료기술, [키워드] affected Air pollution association available data Characteristics Climatic variables complex interplay country COVID-19 COVID-19 disease COVID-19 outbreak demographic demographic variable Demographic variables Effectiveness Epidemic Epidemic growth rate expected Factor global health global pandemic globe Government greater growth growth rate Health Organization hospital implementation initial International Life expectancy Multiple linear regression Non-pharmaceutical interventions NPI pandemic parameters Population predictor security significant effect Social variables. urban population variable variables World Health Organization [DOI] 10.1016/j.scitotenv.2020.144325 PMC 바로가기 [Article Type] Article
Individualized prediction of COVID-19 adverse outcomes with MLHOArticle Published on 2021-03-052022-10-04 Journal: Scientific Reports [Category] SARS, 바이오마커, [키워드] adverse outcome age Algorithm AUC base Cluster COVID-19 COVID-19 infection COVID-19 pandemic death demographic data demographic variable demographics demonstrated estimate feature Health healthcare Hospitalization ICU ICU admission IMPROVE Infectious disease iterative large cohort machine learning mechanical ventilation medical record Mortality outcome outcomes patients predict Predictive medicine predictor preventive measures ranged representing resource risk Risk factors ROC statistical tested vaccination vector Ventilation [DOI] 10.1038/s41598-021-84781-x PMC 바로가기 [Article Type] Article