PMC:7795888 / 13606-14280 JSONTXT

{"project":"LitCovid-PD-HP","denotations":[{"id":"T28","span":{"begin":139,"end":149},"obj":"Phenotype"},{"id":"T29","span":{"begin":253,"end":263},"obj":"Phenotype"}],"attributes":[{"id":"A28","pred":"hp_id","subj":"T28","obj":"http://purl.obolibrary.org/obo/HP_0000716"},{"id":"A29","pred":"hp_id","subj":"T29","obj":"http://purl.obolibrary.org/obo/HP_0000716"}],"text":"In the group of depressed participants, a multivariate general linear model was conducted to test the effect of all factors of interest on depression severity according to BDI-II total score. Specifically, multiple linear regression was used to predict depression severity on the basis of demographic characteristics, medical variables, information on lockdown conditions, hedonic tone, and emotional dysregulation. Possible multicollinearity between variables of interest was tested through variance inflation factor (VIF) indicators obtained from linear regression analysis. All statistical analyses were performed using SPSS 24.0 for Windows (IBM Corp., Armonk, NY, USA)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T80","span":{"begin":0,"end":191},"obj":"Sentence"},{"id":"T81","span":{"begin":192,"end":415},"obj":"Sentence"},{"id":"T82","span":{"begin":416,"end":576},"obj":"Sentence"},{"id":"T83","span":{"begin":577,"end":674},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In the group of depressed participants, a multivariate general linear model was conducted to test the effect of all factors of interest on depression severity according to BDI-II total score. Specifically, multiple linear regression was used to predict depression severity on the basis of demographic characteristics, medical variables, information on lockdown conditions, hedonic tone, and emotional dysregulation. Possible multicollinearity between variables of interest was tested through variance inflation factor (VIF) indicators obtained from linear regression analysis. All statistical analyses were performed using SPSS 24.0 for Windows (IBM Corp., Armonk, NY, USA)."}

{"project":"LitCovid-PubTator","denotations":[{"id":"166","span":{"begin":26,"end":38},"obj":"Species"},{"id":"167","span":{"begin":16,"end":25},"obj":"Disease"},{"id":"168","span":{"begin":139,"end":149},"obj":"Disease"},{"id":"169","span":{"begin":253,"end":263},"obj":"Disease"}],"attributes":[{"id":"A166","pred":"tao:has_database_id","subj":"166","obj":"Tax:9606"},{"id":"A167","pred":"tao:has_database_id","subj":"167","obj":"MESH:D000275"},{"id":"A168","pred":"tao:has_database_id","subj":"168","obj":"MESH:D000275"},{"id":"A169","pred":"tao:has_database_id","subj":"169","obj":"MESH:D000275"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"In the group of depressed participants, a multivariate general linear model was conducted to test the effect of all factors of interest on depression severity according to BDI-II total score. Specifically, multiple linear regression was used to predict depression severity on the basis of demographic characteristics, medical variables, information on lockdown conditions, hedonic tone, and emotional dysregulation. Possible multicollinearity between variables of interest was tested through variance inflation factor (VIF) indicators obtained from linear regression analysis. All statistical analyses were performed using SPSS 24.0 for Windows (IBM Corp., Armonk, NY, USA)."}