> top > docs > PMC:7796148 > spans > 16358-17806 > annotations

PMC:7796148 / 16358-17806 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
216 805-808 Gene denotes GAD Gene:2571
217 52-60 Disease denotes COVID-19 MESH:C000657245
218 61-68 Disease denotes anxiety MESH:D001007
219 271-279 Disease denotes COVID-19 MESH:C000657245
220 280-287 Disease denotes anxiety MESH:D001007
221 324-328 Disease denotes pain MESH:D010146
222 369-376 Disease denotes fatigue MESH:D005221
223 417-425 Disease denotes COVID-19 MESH:C000657245
224 426-433 Disease denotes anxiety MESH:D001007
225 888-896 Disease denotes COVID-19 MESH:C000657245
234 1232-1240 Species denotes children Tax:9606
235 941-951 Disease denotes depression MESH:D000275
236 973-980 Disease denotes anxiety MESH:D001007
237 990-1005 Disease denotes trauma symptoms MESH:D000068376
238 1041-1049 Disease denotes COVID-19 MESH:C000657245
239 1050-1057 Disease denotes anxiety MESH:D001007
240 1347-1356 Disease denotes infection MESH:D007239
241 1410-1418 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T33 61-68 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T34 280-287 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T35 324-328 Phenotype denotes pain http://purl.obolibrary.org/obo/HP_0012531
T36 369-376 Phenotype denotes fatigue http://purl.obolibrary.org/obo/HP_0012378
T37 426-433 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T38 941-951 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T39 973-980 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T40 1050-1057 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T141 0-4 Sentence denotes 2.4.
T142 5-21 Sentence denotes Analytic Methods
T143 22-378 Sentence denotes In Section 3.1, scores of the COVID-19 anxiety variable were categorized into quintiles, and the quintiles were dummy-coded with the lowest one used as the reference category [20] Regression models were used to estimate the relationship between the COVID-19 anxiety quintiles and the PHQ-15 subscales (pain, gastrointestinal, cardiopulmonary, and fatigue).
T144 379-487 Sentence denotes Model 1 included the four dummy-coded COVID-19 anxiety variables as predictors of the four PHQ-15 subscales.
T145 488-624 Sentence denotes The regression coefficient for each dummy-coded variable is interpreted as the mean difference between each quintile and the lowest one.
T146 625-722 Sentence denotes Model 1 was also run separately with the total PHQ-15 summed scale score replacing the subscales.
T147 723-912 Sentence denotes In Model 2 the covariates (age, gender, income, pre-existing health problems, and GAD) were included as predictors, with the addition of Italian region mourning for COVID-19 losses factors.
T148 913-1146 Sentence denotes In Section 3.2, measures of depression (PHQ-9), generalized anxiety (GAD-7), trauma symptoms relating to the pandemic (ITQ) and COVID-19 anxiety were considered as dependent variables for three binary logistic regression models [19].
T149 1147-1377 Sentence denotes The predictor variables were age, gender, living location, living alone, presence of children in the household, income, pre-existing health conditions in self and someone close, and perceived risk of infection over the next month.
T150 1378-1448 Sentence denotes Italian region and mourning for COVID-19 losses factors were included.