PMC:7796148 / 42976-44692
Annnotations
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"815","span":{"begin":57,"end":73},"obj":"Disease"},{"id":"820","span":{"begin":516,"end":524},"obj":"Species"},{"id":"821","span":{"begin":1072,"end":1077},"obj":"Species"},{"id":"822","span":{"begin":78,"end":94},"obj":"Disease"},{"id":"823","span":{"begin":1092,"end":1100},"obj":"Disease"}],"attributes":[{"id":"A815","pred":"tao:has_database_id","subj":"815","obj":"MESH:D000079225"},{"id":"A820","pred":"tao:has_database_id","subj":"820","obj":"Tax:9606"},{"id":"A821","pred":"tao:has_database_id","subj":"821","obj":"Tax:9606"},{"id":"A822","pred":"tao:has_database_id","subj":"822","obj":"MESH:D000079225"},{"id":"A823","pred":"tao:has_database_id","subj":"823","obj":"MESH:C000657245"}],"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 5 Multiple logistic regression results predicting traumatic stress.\nn Traumatic Stress (n%) Adjusted OR (95% CI)\nAge\n1038 269 (25.91%) 0.968 (0.957–0.979) ***\nGender\n Female 531 157 (29.56%) -\n Male 507 112 (22.09%) 0.850 (0.532–1.168)\nLiving Location\n Rural 49 13 (26.53%) -\n Town 297 59 (19.86%) 0.670 (−0.092–1.475)\n Suburb 123 33 (26.83%) 0.940 (0.109–1.803)\n City 569 164 (28.82%) 1.049 (0.312–1.832)\nLone Adult\n No 899 236 (26.25%) -\n Yes 139 33 (23.74%) 1.243 (0.749–1.722)\nChildren\n No 680 134 (19.70%) -\n Yes 358 135 (37.70%) 1.520 (1.169–1.87) **\nIncome\n −15.000 €/yr 218 60 (27.52%) -\n −28.000 €/yr 214 52 (24.30%) 0.906 (0.425–1.386)\n −55.000 €/yr 212 58 (27.36%) 1.259 (0.771–1.749)\n −75.000 €/yr 211 63 (29.85%) 1.099 (0.600–1.597)\n +75.000 €/yr 183 36 (19.67%) 0.657 (0.102–1.203)\nPre-Existing Health Condition, Self\n No 869 216 (24.85%) -\n Yes 169 53 (31.36%) 1.587 (1.148–2.023) **\nPre-Existing Health Condition, Relatives\n No 811 197 (24.29%) -\n Yes 227 72 (31.71%) 1.219 (0.836–1.597)\nHuman Losses due to COVID-19\n No 888 219 (24.66%) -\n Yes 109 33 (30.27%) 1.207 (0.696–1.702)\n Not Sure 41 17 (41.46%) 2.130 (1.386–2.886) **\nRegion\n Campania 227 70 (30.83%) -\n Lazio 234 57 (24.36%) 0.686 (0.223–1.146)\n Lombardia 391 92 (23.53%) 0.519 (0.092–946) *\n Veneto 186 50 (26.88%) 0.663 (0.168–1.154)\nPersonal Risk at 1 Month\n Low 269 29 (10.78%) -\n Moderate–Low 252 51 (20.24%) 1.782 (1.272–2.307) **\n Moderate–High 261 69 (26.43%) 2.008 (1.519–2.518) ***\n High 256 120 (46.87%) 2.815 (2.345–3.310) ***\nNote. * p \u003c 0.05; ** p \u003c 0.01; *** p \u003c 0.001 (adjusted controlling the false discovery rate [32])."}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T457","span":{"begin":0,"end":74},"obj":"Sentence"},{"id":"T458","span":{"begin":75,"end":121},"obj":"Sentence"},{"id":"T459","span":{"begin":122,"end":125},"obj":"Sentence"},{"id":"T460","span":{"begin":126,"end":169},"obj":"Sentence"},{"id":"T461","span":{"begin":170,"end":176},"obj":"Sentence"},{"id":"T462","span":{"begin":177,"end":206},"obj":"Sentence"},{"id":"T463","span":{"begin":207,"end":252},"obj":"Sentence"},{"id":"T464","span":{"begin":253,"end":268},"obj":"Sentence"},{"id":"T465","span":{"begin":269,"end":295},"obj":"Sentence"},{"id":"T466","span":{"begin":296,"end":341},"obj":"Sentence"},{"id":"T467","span":{"begin":342,"end":388},"obj":"Sentence"},{"id":"T468","span":{"begin":389,"end":434},"obj":"Sentence"},{"id":"T469","span":{"begin":435,"end":445},"obj":"Sentence"},{"id":"T470","span":{"begin":446,"end":471},"obj":"Sentence"},{"id":"T471","span":{"begin":472,"end":515},"obj":"Sentence"},{"id":"T472","span":{"begin":516,"end":524},"obj":"Sentence"},{"id":"T473","span":{"begin":525,"end":550},"obj":"Sentence"},{"id":"T474","span":{"begin":551,"end":597},"obj":"Sentence"},{"id":"T475","span":{"begin":598,"end":604},"obj":"Sentence"},{"id":"T476","span":{"begin":605,"end":639},"obj":"Sentence"},{"id":"T477","span":{"begin":640,"end":692},"obj":"Sentence"},{"id":"T478","span":{"begin":693,"end":745},"obj":"Sentence"},{"id":"T479","span":{"begin":746,"end":798},"obj":"Sentence"},{"id":"T480","span":{"begin":799,"end":851},"obj":"Sentence"},{"id":"T481","span":{"begin":852,"end":887},"obj":"Sentence"},{"id":"T482","span":{"begin":888,"end":913},"obj":"Sentence"},{"id":"T483","span":{"begin":914,"end":960},"obj":"Sentence"},{"id":"T484","span":{"begin":961,"end":1001},"obj":"Sentence"},{"id":"T485","span":{"begin":1002,"end":1027},"obj":"Sentence"},{"id":"T486","span":{"begin":1028,"end":1071},"obj":"Sentence"},{"id":"T487","span":{"begin":1072,"end":1100},"obj":"Sentence"},{"id":"T488","span":{"begin":1101,"end":1126},"obj":"Sentence"},{"id":"T489","span":{"begin":1127,"end":1170},"obj":"Sentence"},{"id":"T490","span":{"begin":1171,"end":1221},"obj":"Sentence"},{"id":"T491","span":{"begin":1222,"end":1228},"obj":"Sentence"},{"id":"T492","span":{"begin":1229,"end":1259},"obj":"Sentence"},{"id":"T493","span":{"begin":1260,"end":1305},"obj":"Sentence"},{"id":"T494","span":{"begin":1306,"end":1355},"obj":"Sentence"},{"id":"T495","span":{"begin":1356,"end":1402},"obj":"Sentence"},{"id":"T496","span":{"begin":1403,"end":1427},"obj":"Sentence"},{"id":"T497","span":{"begin":1428,"end":1453},"obj":"Sentence"},{"id":"T498","span":{"begin":1454,"end":1509},"obj":"Sentence"},{"id":"T499","span":{"begin":1510,"end":1567},"obj":"Sentence"},{"id":"T500","span":{"begin":1568,"end":1617},"obj":"Sentence"},{"id":"T501","span":{"begin":1618,"end":1716},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 5 Multiple logistic regression results predicting traumatic stress.\nn Traumatic Stress (n%) Adjusted OR (95% CI)\nAge\n1038 269 (25.91%) 0.968 (0.957–0.979) ***\nGender\n Female 531 157 (29.56%) -\n Male 507 112 (22.09%) 0.850 (0.532–1.168)\nLiving Location\n Rural 49 13 (26.53%) -\n Town 297 59 (19.86%) 0.670 (−0.092–1.475)\n Suburb 123 33 (26.83%) 0.940 (0.109–1.803)\n City 569 164 (28.82%) 1.049 (0.312–1.832)\nLone Adult\n No 899 236 (26.25%) -\n Yes 139 33 (23.74%) 1.243 (0.749–1.722)\nChildren\n No 680 134 (19.70%) -\n Yes 358 135 (37.70%) 1.520 (1.169–1.87) **\nIncome\n −15.000 €/yr 218 60 (27.52%) -\n −28.000 €/yr 214 52 (24.30%) 0.906 (0.425–1.386)\n −55.000 €/yr 212 58 (27.36%) 1.259 (0.771–1.749)\n −75.000 €/yr 211 63 (29.85%) 1.099 (0.600–1.597)\n +75.000 €/yr 183 36 (19.67%) 0.657 (0.102–1.203)\nPre-Existing Health Condition, Self\n No 869 216 (24.85%) -\n Yes 169 53 (31.36%) 1.587 (1.148–2.023) **\nPre-Existing Health Condition, Relatives\n No 811 197 (24.29%) -\n Yes 227 72 (31.71%) 1.219 (0.836–1.597)\nHuman Losses due to COVID-19\n No 888 219 (24.66%) -\n Yes 109 33 (30.27%) 1.207 (0.696–1.702)\n Not Sure 41 17 (41.46%) 2.130 (1.386–2.886) **\nRegion\n Campania 227 70 (30.83%) -\n Lazio 234 57 (24.36%) 0.686 (0.223–1.146)\n Lombardia 391 92 (23.53%) 0.519 (0.092–946) *\n Veneto 186 50 (26.88%) 0.663 (0.168–1.154)\nPersonal Risk at 1 Month\n Low 269 29 (10.78%) -\n Moderate–Low 252 51 (20.24%) 1.782 (1.272–2.307) **\n Moderate–High 261 69 (26.43%) 2.008 (1.519–2.518) ***\n High 256 120 (46.87%) 2.815 (2.345–3.310) ***\nNote. * p \u003c 0.05; ** p \u003c 0.01; *** p \u003c 0.001 (adjusted controlling the false discovery rate [32])."}