PMC:7190485 / 10687-12619 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T47","span":{"begin":154,"end":156},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T48","span":{"begin":239,"end":242},"obj":"http://purl.obolibrary.org/obo/CLO_0001294"},{"id":"T49","span":{"begin":290,"end":293},"obj":"http://purl.obolibrary.org/obo/CLO_0001294"},{"id":"T50","span":{"begin":341,"end":344},"obj":"http://purl.obolibrary.org/obo/CLO_0001006"},{"id":"T51","span":{"begin":1420,"end":1423},"obj":"http://purl.obolibrary.org/obo/CLO_0001053"},{"id":"T52","span":{"begin":1598,"end":1601},"obj":"http://purl.obolibrary.org/obo/CLO_0001319"},{"id":"T53","span":{"begin":1826,"end":1833},"obj":"http://purl.obolibrary.org/obo/CLO_0052947"}],"text":"Table 1 The impact of coronavirus outbreak on emotional well-being\nModel 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 Model 10 Model 11 Model 12 Model 13 Model 14 Model 15 Model 16 Model 17\nOutbreak -.323⁎⁎⁎⁎ (.012) -.322⁎⁎⁎⁎ (.012) -.316⁎⁎⁎⁎ (.012) -.317⁎⁎⁎⁎ (.012) -.322⁎⁎⁎⁎ (.012) -.318⁎⁎⁎⁎ (.012) -.315⁎⁎⁎⁎ (.012) -.311⁎⁎⁎⁎ (.012) -.149⁎⁎⁎⁎ (.044) -.145⁎⁎⁎⁎ (.044) -.327⁎⁎⁎⁎ (.017) -.323⁎⁎⁎⁎ (.017) -.241⁎⁎⁎⁎ (.021) -.241⁎⁎⁎⁎ (.021) -.301⁎⁎⁎⁎ (.022) -.294⁎⁎⁎⁎ (.022) -.146⁎⁎⁎ (.048)\nHubei .023 (.023) .024 (.023) .024 (.023) .023 (.023) .026 (.023) .054* (.025) .057* (.025) .026 (.023) .026 (.023) .024 (.023) .025 (.023) .056* (.025)\nAge .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004) .001 (.0005) .001 (.0005) .001 (.0005) .002⁎⁎⁎⁎ (.0004) .001⁎⁎ (.001) .001 (.005) .0004 (.0005) .001 (.0005) .001 (.001)\nSex .008 (.01) .006 (.01) .006 (.01) .006 (.01) .005 (.01) .005 (.011) .004 (.011) .005 (.01) .006 (.01) .003 (.011)\nMarried .052⁎⁎⁎⁎ (.013) .04⁎⁎⁎ (.013) .039⁎⁎⁎ (.013) .041⁎⁎⁎ (.013) .04⁎⁎⁎ (.013) .089⁎⁎⁎⁎ (.012) .07⁎⁎⁎⁎ (.015) .041⁎⁎⁎ (.014) .061⁎⁎⁎⁎ (.016)\nIncome .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004)\nOutbreak × Hubei -.183⁎⁎⁎ (.06) -.179⁎⁎⁎ (.06) -.183⁎⁎⁎ (.06)\nOutbreak × Age -.005⁎⁎⁎⁎ (.001) -.005⁎⁎⁎⁎ (.001) -.003* (.001)\nOutbreak × Sex .008 (.024) .01 (.024) .006 (.024)\nOutbreak × Married -.121⁎⁎⁎⁎ (.026) -.115⁎⁎⁎⁎ (.026) -.079⁎⁎ (.031)\nOutbreak × Income -.001 (.001) -.001 (.001) -.001 (.001)\nConstant .437⁎⁎⁎⁎ (.006) .436⁎⁎⁎⁎ (.006) .365⁎⁎⁎⁎ (.015) .361⁎⁎⁎⁎ (.016) .372⁎⁎⁎⁎ (.016) .347⁎⁎⁎⁎ (.017) .434⁎⁎⁎⁎ (.006) .346⁎⁎⁎⁎ (.017) .346⁎⁎⁎⁎ (.016) .327⁎⁎⁎⁎ (.018) .434⁎⁎⁎⁎ (.008) .348⁎⁎⁎⁎ (.018) .378⁎⁎⁎⁎ (.009) .341⁎⁎⁎⁎ (.017) .403⁎⁎⁎⁎ (.009) .344⁎⁎⁎⁎ (.018) .328⁎⁎⁎⁎ (.018)\nNotes:\n⁎ p ≤ .05;\n⁎⁎ p ≤ .01;\n⁎⁎⁎ p ≤ .005;\n⁎⁎⁎⁎ p ≤ .001\nStandard errors are shown in parentheses below coefficient estimates."}

{"project":"LitCovid-sentences","denotations":[{"id":"T65","span":{"begin":0,"end":66},"obj":"Sentence"},{"id":"T66","span":{"begin":67,"end":210},"obj":"Sentence"},{"id":"T67","span":{"begin":211,"end":507},"obj":"Sentence"},{"id":"T68","span":{"begin":508,"end":660},"obj":"Sentence"},{"id":"T69","span":{"begin":661,"end":819},"obj":"Sentence"},{"id":"T70","span":{"begin":820,"end":936},"obj":"Sentence"},{"id":"T71","span":{"begin":937,"end":1080},"obj":"Sentence"},{"id":"T72","span":{"begin":1081,"end":1223},"obj":"Sentence"},{"id":"T73","span":{"begin":1224,"end":1285},"obj":"Sentence"},{"id":"T74","span":{"begin":1286,"end":1348},"obj":"Sentence"},{"id":"T75","span":{"begin":1349,"end":1398},"obj":"Sentence"},{"id":"T76","span":{"begin":1399,"end":1466},"obj":"Sentence"},{"id":"T77","span":{"begin":1467,"end":1523},"obj":"Sentence"},{"id":"T78","span":{"begin":1524,"end":1804},"obj":"Sentence"},{"id":"T79","span":{"begin":1805,"end":1811},"obj":"Sentence"},{"id":"T80","span":{"begin":1812,"end":1822},"obj":"Sentence"},{"id":"T81","span":{"begin":1823,"end":1834},"obj":"Sentence"},{"id":"T82","span":{"begin":1835,"end":1848},"obj":"Sentence"},{"id":"T83","span":{"begin":1849,"end":1862},"obj":"Sentence"},{"id":"T84","span":{"begin":1863,"end":1932},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 1 The impact of coronavirus outbreak on emotional well-being\nModel 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 Model 10 Model 11 Model 12 Model 13 Model 14 Model 15 Model 16 Model 17\nOutbreak -.323⁎⁎⁎⁎ (.012) -.322⁎⁎⁎⁎ (.012) -.316⁎⁎⁎⁎ (.012) -.317⁎⁎⁎⁎ (.012) -.322⁎⁎⁎⁎ (.012) -.318⁎⁎⁎⁎ (.012) -.315⁎⁎⁎⁎ (.012) -.311⁎⁎⁎⁎ (.012) -.149⁎⁎⁎⁎ (.044) -.145⁎⁎⁎⁎ (.044) -.327⁎⁎⁎⁎ (.017) -.323⁎⁎⁎⁎ (.017) -.241⁎⁎⁎⁎ (.021) -.241⁎⁎⁎⁎ (.021) -.301⁎⁎⁎⁎ (.022) -.294⁎⁎⁎⁎ (.022) -.146⁎⁎⁎ (.048)\nHubei .023 (.023) .024 (.023) .024 (.023) .023 (.023) .026 (.023) .054* (.025) .057* (.025) .026 (.023) .026 (.023) .024 (.023) .025 (.023) .056* (.025)\nAge .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004) .001 (.0005) .001 (.0005) .001 (.0005) .002⁎⁎⁎⁎ (.0004) .001⁎⁎ (.001) .001 (.005) .0004 (.0005) .001 (.0005) .001 (.001)\nSex .008 (.01) .006 (.01) .006 (.01) .006 (.01) .005 (.01) .005 (.011) .004 (.011) .005 (.01) .006 (.01) .003 (.011)\nMarried .052⁎⁎⁎⁎ (.013) .04⁎⁎⁎ (.013) .039⁎⁎⁎ (.013) .041⁎⁎⁎ (.013) .04⁎⁎⁎ (.013) .089⁎⁎⁎⁎ (.012) .07⁎⁎⁎⁎ (.015) .041⁎⁎⁎ (.014) .061⁎⁎⁎⁎ (.016)\nIncome .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004)\nOutbreak × Hubei -.183⁎⁎⁎ (.06) -.179⁎⁎⁎ (.06) -.183⁎⁎⁎ (.06)\nOutbreak × Age -.005⁎⁎⁎⁎ (.001) -.005⁎⁎⁎⁎ (.001) -.003* (.001)\nOutbreak × Sex .008 (.024) .01 (.024) .006 (.024)\nOutbreak × Married -.121⁎⁎⁎⁎ (.026) -.115⁎⁎⁎⁎ (.026) -.079⁎⁎ (.031)\nOutbreak × Income -.001 (.001) -.001 (.001) -.001 (.001)\nConstant .437⁎⁎⁎⁎ (.006) .436⁎⁎⁎⁎ (.006) .365⁎⁎⁎⁎ (.015) .361⁎⁎⁎⁎ (.016) .372⁎⁎⁎⁎ (.016) .347⁎⁎⁎⁎ (.017) .434⁎⁎⁎⁎ (.006) .346⁎⁎⁎⁎ (.017) .346⁎⁎⁎⁎ (.016) .327⁎⁎⁎⁎ (.018) .434⁎⁎⁎⁎ (.008) .348⁎⁎⁎⁎ (.018) .378⁎⁎⁎⁎ (.009) .341⁎⁎⁎⁎ (.017) .403⁎⁎⁎⁎ (.009) .344⁎⁎⁎⁎ (.018) .328⁎⁎⁎⁎ (.018)\nNotes:\n⁎ p ≤ .05;\n⁎⁎ p ≤ .01;\n⁎⁎⁎ p ≤ .005;\n⁎⁎⁎⁎ p ≤ .001\nStandard errors are shown in parentheses below coefficient estimates."}

{"project":"LitCovid-PubTator","denotations":[{"id":"98","span":{"begin":1297,"end":1300},"obj":"Gene"},{"id":"99","span":{"begin":661,"end":664},"obj":"Gene"},{"id":"101","span":{"begin":22,"end":33},"obj":"Species"}],"attributes":[{"id":"A98","pred":"tao:has_database_id","subj":"98","obj":"Gene:5973"},{"id":"A99","pred":"tao:has_database_id","subj":"99","obj":"Gene:5973"},{"id":"A101","pred":"tao:has_database_id","subj":"101","obj":"Tax:11118"}],"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":"Table 1 The impact of coronavirus outbreak on emotional well-being\nModel 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 Model 10 Model 11 Model 12 Model 13 Model 14 Model 15 Model 16 Model 17\nOutbreak -.323⁎⁎⁎⁎ (.012) -.322⁎⁎⁎⁎ (.012) -.316⁎⁎⁎⁎ (.012) -.317⁎⁎⁎⁎ (.012) -.322⁎⁎⁎⁎ (.012) -.318⁎⁎⁎⁎ (.012) -.315⁎⁎⁎⁎ (.012) -.311⁎⁎⁎⁎ (.012) -.149⁎⁎⁎⁎ (.044) -.145⁎⁎⁎⁎ (.044) -.327⁎⁎⁎⁎ (.017) -.323⁎⁎⁎⁎ (.017) -.241⁎⁎⁎⁎ (.021) -.241⁎⁎⁎⁎ (.021) -.301⁎⁎⁎⁎ (.022) -.294⁎⁎⁎⁎ (.022) -.146⁎⁎⁎ (.048)\nHubei .023 (.023) .024 (.023) .024 (.023) .023 (.023) .026 (.023) .054* (.025) .057* (.025) .026 (.023) .026 (.023) .024 (.023) .025 (.023) .056* (.025)\nAge .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004) .001 (.0005) .001 (.0005) .001 (.0005) .002⁎⁎⁎⁎ (.0004) .001⁎⁎ (.001) .001 (.005) .0004 (.0005) .001 (.0005) .001 (.001)\nSex .008 (.01) .006 (.01) .006 (.01) .006 (.01) .005 (.01) .005 (.011) .004 (.011) .005 (.01) .006 (.01) .003 (.011)\nMarried .052⁎⁎⁎⁎ (.013) .04⁎⁎⁎ (.013) .039⁎⁎⁎ (.013) .041⁎⁎⁎ (.013) .04⁎⁎⁎ (.013) .089⁎⁎⁎⁎ (.012) .07⁎⁎⁎⁎ (.015) .041⁎⁎⁎ (.014) .061⁎⁎⁎⁎ (.016)\nIncome .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0003) .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004) .002⁎⁎⁎⁎ (.0004)\nOutbreak × Hubei -.183⁎⁎⁎ (.06) -.179⁎⁎⁎ (.06) -.183⁎⁎⁎ (.06)\nOutbreak × Age -.005⁎⁎⁎⁎ (.001) -.005⁎⁎⁎⁎ (.001) -.003* (.001)\nOutbreak × Sex .008 (.024) .01 (.024) .006 (.024)\nOutbreak × Married -.121⁎⁎⁎⁎ (.026) -.115⁎⁎⁎⁎ (.026) -.079⁎⁎ (.031)\nOutbreak × Income -.001 (.001) -.001 (.001) -.001 (.001)\nConstant .437⁎⁎⁎⁎ (.006) .436⁎⁎⁎⁎ (.006) .365⁎⁎⁎⁎ (.015) .361⁎⁎⁎⁎ (.016) .372⁎⁎⁎⁎ (.016) .347⁎⁎⁎⁎ (.017) .434⁎⁎⁎⁎ (.006) .346⁎⁎⁎⁎ (.017) .346⁎⁎⁎⁎ (.016) .327⁎⁎⁎⁎ (.018) .434⁎⁎⁎⁎ (.008) .348⁎⁎⁎⁎ (.018) .378⁎⁎⁎⁎ (.009) .341⁎⁎⁎⁎ (.017) .403⁎⁎⁎⁎ (.009) .344⁎⁎⁎⁎ (.018) .328⁎⁎⁎⁎ (.018)\nNotes:\n⁎ p ≤ .05;\n⁎⁎ p ≤ .01;\n⁎⁎⁎ p ≤ .005;\n⁎⁎⁎⁎ p ≤ .001\nStandard errors are shown in parentheses below coefficient estimates."}