PMC:7075079 / 13424-14094 JSONTXT

{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T25","span":{"begin":108,"end":111},"obj":"Body_part"},{"id":"T26","span":{"begin":258,"end":261},"obj":"Body_part"}],"attributes":[{"id":"A25","pred":"uberon_id","subj":"T25","obj":"http://purl.obolibrary.org/obo/UBERON_0002542"},{"id":"A26","pred":"uberon_id","subj":"T26","obj":"http://purl.obolibrary.org/obo/UBERON_0002542"}],"text":"Table 3 shows the normalized path coefficient. The SSRS scores of the medical staff negatively affected the SAS scores (β=−0.565, P\u003c0.0001) and the SASR scores (β=−0.245, P=0.003) significantly and positively affected the GSES scores (β=0.304, P\u003c0.001). The SAS scores positively affected the SASR scores (β=0.259, P=0.001) and the PSQI scores (β=0.257, P\u003c0.001), and negatively affected the GSES scores (β=−0.179, P=0.029). The SASR scores significantly affected the PSQI scores (β=0.255, P\u003c0.001). The GSES score negatively affected the PSQI scores (β=−0.308, P\u003c0.001). However, the effect of the SSRS scores on the PSQI scores was not significant (β=−0.046, P=0.538)."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T56","span":{"begin":108,"end":111},"obj":"http://purl.obolibrary.org/obo/CLO_0051568"},{"id":"T57","span":{"begin":258,"end":261},"obj":"http://purl.obolibrary.org/obo/CLO_0051568"}],"text":"Table 3 shows the normalized path coefficient. The SSRS scores of the medical staff negatively affected the SAS scores (β=−0.565, P\u003c0.0001) and the SASR scores (β=−0.245, P=0.003) significantly and positively affected the GSES scores (β=0.304, P\u003c0.001). The SAS scores positively affected the SASR scores (β=0.259, P=0.001) and the PSQI scores (β=0.257, P\u003c0.001), and negatively affected the GSES scores (β=−0.179, P=0.029). The SASR scores significantly affected the PSQI scores (β=0.255, P\u003c0.001). The GSES score negatively affected the PSQI scores (β=−0.308, P\u003c0.001). However, the effect of the SSRS scores on the PSQI scores was not significant (β=−0.046, P=0.538)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T114","span":{"begin":0,"end":46},"obj":"Sentence"},{"id":"T115","span":{"begin":47,"end":253},"obj":"Sentence"},{"id":"T116","span":{"begin":254,"end":424},"obj":"Sentence"},{"id":"T117","span":{"begin":425,"end":499},"obj":"Sentence"},{"id":"T118","span":{"begin":500,"end":571},"obj":"Sentence"},{"id":"T119","span":{"begin":572,"end":670},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 3 shows the normalized path coefficient. The SSRS scores of the medical staff negatively affected the SAS scores (β=−0.565, P\u003c0.0001) and the SASR scores (β=−0.245, P=0.003) significantly and positively affected the GSES scores (β=0.304, P\u003c0.001). The SAS scores positively affected the SASR scores (β=0.259, P=0.001) and the PSQI scores (β=0.257, P\u003c0.001), and negatively affected the GSES scores (β=−0.179, P=0.029). The SASR scores significantly affected the PSQI scores (β=0.255, P\u003c0.001). The GSES score negatively affected the PSQI scores (β=−0.308, P\u003c0.001). However, the effect of the SSRS scores on the PSQI scores was not significant (β=−0.046, P=0.538)."}