PMC:7543267 / 15856-19182 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T62","span":{"begin":96,"end":100},"obj":"http://purl.obolibrary.org/obo/CLO_0001757"},{"id":"T63","span":{"begin":321,"end":322},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T64","span":{"begin":324,"end":330},"obj":"http://purl.obolibrary.org/obo/UBERON_0003100"},{"id":"T65","span":{"begin":380,"end":384},"obj":"http://purl.obolibrary.org/obo/UBERON_0003101"},{"id":"T66","span":{"begin":380,"end":384},"obj":"http://www.ebi.ac.uk/efo/EFO_0000970"},{"id":"T67","span":{"begin":398,"end":401},"obj":"http://purl.obolibrary.org/obo/CLO_0054057"},{"id":"T68","span":{"begin":529,"end":530},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T69","span":{"begin":802,"end":804},"obj":"http://purl.obolibrary.org/obo/CLO_0050509"},{"id":"T70","span":{"begin":949,"end":951},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T71","span":{"begin":959,"end":961},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T72","span":{"begin":1197,"end":1199},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T73","span":{"begin":1318,"end":1320},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T74","span":{"begin":1438,"end":1440},"obj":"http://purl.obolibrary.org/obo/CLO_0050509"},{"id":"T75","span":{"begin":1524,"end":1530},"obj":"http://purl.obolibrary.org/obo/CLO_0008149"},{"id":"T76","span":{"begin":1691,"end":1693},"obj":"http://purl.obolibrary.org/obo/CLO_0001302"},{"id":"T77","span":{"begin":1949,"end":1951},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T78","span":{"begin":2043,"end":2045},"obj":"http://purl.obolibrary.org/obo/CLO_0001382"},{"id":"T79","span":{"begin":2106,"end":2108},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T80","span":{"begin":2126,"end":2128},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T81","span":{"begin":2203,"end":2205},"obj":"http://purl.obolibrary.org/obo/CLO_0001382"},{"id":"T82","span":{"begin":2420,"end":2422},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T83","span":{"begin":2533,"end":2536},"obj":"http://purl.obolibrary.org/obo/CLO_0054061"},{"id":"T84","span":{"begin":2626,"end":2628},"obj":"http://purl.obolibrary.org/obo/CLO_0001527"}],"text":"Table 1. Sample characteristics and descriptive statistics for study variables at baseline and at 1 week follow-up\nVariable Australia sample U.S. sample\nBaseline Follow-up Baseline Follow-up\nParticipants 495 365 701 440\nAge, M years (SD) 47.09 (17.11) 49.78 (16.89) 45.55 (17.40) 51.77 (16.26)\nGender, n (%)a\n Female 252 (51.1) 182 (50.1) 352 (48.9) 205 (46.6)\n Male 241 (48.9) 181 (49.9) 341 (50.5) 231 (52.5)\n Not specified/prefer not to answer 0 (0.0) 0 (0.0) 4 (0.6) 4 (0.9)\nEmployment status, n (%)b\n Currently unemployed/full-time caregiver 231 (46.7) 180 (49.3) 330 (47.3) 216 (49.5)\n Part-time/casual employed 97 (19.6) 65 (17.8) 106 (15.2) 60 (13.8)\n Currently employed full time 140 (28.3) 104 (28.5) 233 (33.4) 147 (33.7)\n Leave without pay/furloughed 27 (5.5) 16 (4.4) 28 (4.0) 13 (3.0)\nMarital status, n (%)c\n Married 184 (37.2) 146 (40.0) 300 (43.0) 224 (51.4)\n Widowed 8 (1.6) 7 (1.9) 22 (3.2) 18 (4.1)\n Separated/divorced 53 (10.7) 39 (10.7) 69 (9.9) 47 (10.8)\n Never married 160 (32.3) 103 (28.2) 255 (36.6) 126(28.9)\n Married de facto 90 (18.2) 70 (19.2) 51 (7.3) 21 (4.8)\nEthnicity, n (%)d\n Black 3 (0.6) 1 (0.3) 52 (7.5) 26 (6.0)\n Caucasian/White 392 (79.2) 304 (83.3) 566 (81.2) 376 (86.2)\n Asian (South-East Asia/South Asia) 71 (14.3) 43 (11.8) 39 (5.6) 24 (5.5)\n Middle-Eastern 6 (1.2) 3 (0.8) 1 (0.1) 0 (0.0)\n Other 13 (2.6) 6 (1.6) 27 (3.9) 8 (1.8)\n Prefer not to answer 10 (2.0) 8 (2.2) 12 (1.7) 2 (0.5)\nIncome, n (%)e\n Zero income 8 (1.7) 4 (1.2) 31 (4.4) 19 (4.4)\n $1–$199 ($1–$10,399) 9 (2.0) 6 (1.8) 40 (5.7) 24 (5.5)\n $200–$299 ($10,400–$15,599) 12 (2.6) 8 (2.4) 34 (4.9) 23 (5.3)\n $300–$399 ($15,600–$20,799) 19 (4.1) 12 (3.6) 38 (5.5) 23 (5.3)\n $400–$599 ($20,800–$31,199) 42 (9.2) 33 (9.9) 62 (8.9) 33 (7.6)\n $600–$799 ($31,200–$41,599) 57 (12.4) 42 (12.6) 61 (8.8) 39 (8.9)\n $800–$999 ($41,600–$51,999) 45 (9.8) 31 (9.3) 68 (9.8) 46 (10.6)\n $1,000–$1,249 ($52,000–$64,999) 39 (8.5) 32 (9.6) 48 (6.9) 38 (8.7)\n $1,250–$1,499 ($65,000–$77,999) 28 (6.1) 22 (6.6) 59 (8.5) 41 (9.4)\n $1,500–$1,999 ($78,000–$103,999) 72 (15.7) 50 (15.0) 72 (10.3) 48 (11.0)\n $2,000 or more ($104,000 or more) 81 (17.6) 62 (18.6) 108 (15.5) 74 (17.0)\n Prefer not to answer 47 (10.2) 32 (9.6) 76 (10.9) 28 (6.4)\nEducation level, n (%)\n Completed junior/lower/primary school 18 (3.6) 17 (4.7) 6 (0.9) 0 (0.0)\n Completed senior/high/secondary school 133 (26.9) 98 (26.8) 265 (37.8) 132 (30.0)\n Postschool vocational qualification/diploma 147 (29.7) 111 (30.4) 138 (19.7) 94 (21.4)\n Undergraduate university degree 131 (26.5) 93 (25.5) 214 (30.5) 159 (36.1)\n Postgraduate university degree 66 (13.3) 46 (12.6) 78 (11.1) 55 (12.5)\nSD standard deviation.\naTwo participants in the Australian sample did not report their gender and four participants in the U.S. sample did not report their gender.\nbFour participants in the U.S. sample did not report their employment status.\ncFour participants in the U.S. sample did not report their marital status.\ndFour participants in the U.S. sample did not report their ethnicity.\neThirty-one participants in the Australian sample did not report their income and four participants in the U.S. sample did not report their income."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T7","span":{"begin":244,"end":246},"obj":"Chemical"},{"id":"T8","span":{"begin":2792,"end":2794},"obj":"Chemical"}],"attributes":[{"id":"A7","pred":"chebi_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/CHEBI_74807"},{"id":"A8","pred":"chebi_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/CHEBI_74807"}],"text":"Table 1. Sample characteristics and descriptive statistics for study variables at baseline and at 1 week follow-up\nVariable Australia sample U.S. sample\nBaseline Follow-up Baseline Follow-up\nParticipants 495 365 701 440\nAge, M years (SD) 47.09 (17.11) 49.78 (16.89) 45.55 (17.40) 51.77 (16.26)\nGender, n (%)a\n Female 252 (51.1) 182 (50.1) 352 (48.9) 205 (46.6)\n Male 241 (48.9) 181 (49.9) 341 (50.5) 231 (52.5)\n Not specified/prefer not to answer 0 (0.0) 0 (0.0) 4 (0.6) 4 (0.9)\nEmployment status, n (%)b\n Currently unemployed/full-time caregiver 231 (46.7) 180 (49.3) 330 (47.3) 216 (49.5)\n Part-time/casual employed 97 (19.6) 65 (17.8) 106 (15.2) 60 (13.8)\n Currently employed full time 140 (28.3) 104 (28.5) 233 (33.4) 147 (33.7)\n Leave without pay/furloughed 27 (5.5) 16 (4.4) 28 (4.0) 13 (3.0)\nMarital status, n (%)c\n Married 184 (37.2) 146 (40.0) 300 (43.0) 224 (51.4)\n Widowed 8 (1.6) 7 (1.9) 22 (3.2) 18 (4.1)\n Separated/divorced 53 (10.7) 39 (10.7) 69 (9.9) 47 (10.8)\n Never married 160 (32.3) 103 (28.2) 255 (36.6) 126(28.9)\n Married de facto 90 (18.2) 70 (19.2) 51 (7.3) 21 (4.8)\nEthnicity, n (%)d\n Black 3 (0.6) 1 (0.3) 52 (7.5) 26 (6.0)\n Caucasian/White 392 (79.2) 304 (83.3) 566 (81.2) 376 (86.2)\n Asian (South-East Asia/South Asia) 71 (14.3) 43 (11.8) 39 (5.6) 24 (5.5)\n Middle-Eastern 6 (1.2) 3 (0.8) 1 (0.1) 0 (0.0)\n Other 13 (2.6) 6 (1.6) 27 (3.9) 8 (1.8)\n Prefer not to answer 10 (2.0) 8 (2.2) 12 (1.7) 2 (0.5)\nIncome, n (%)e\n Zero income 8 (1.7) 4 (1.2) 31 (4.4) 19 (4.4)\n $1–$199 ($1–$10,399) 9 (2.0) 6 (1.8) 40 (5.7) 24 (5.5)\n $200–$299 ($10,400–$15,599) 12 (2.6) 8 (2.4) 34 (4.9) 23 (5.3)\n $300–$399 ($15,600–$20,799) 19 (4.1) 12 (3.6) 38 (5.5) 23 (5.3)\n $400–$599 ($20,800–$31,199) 42 (9.2) 33 (9.9) 62 (8.9) 33 (7.6)\n $600–$799 ($31,200–$41,599) 57 (12.4) 42 (12.6) 61 (8.8) 39 (8.9)\n $800–$999 ($41,600–$51,999) 45 (9.8) 31 (9.3) 68 (9.8) 46 (10.6)\n $1,000–$1,249 ($52,000–$64,999) 39 (8.5) 32 (9.6) 48 (6.9) 38 (8.7)\n $1,250–$1,499 ($65,000–$77,999) 28 (6.1) 22 (6.6) 59 (8.5) 41 (9.4)\n $1,500–$1,999 ($78,000–$103,999) 72 (15.7) 50 (15.0) 72 (10.3) 48 (11.0)\n $2,000 or more ($104,000 or more) 81 (17.6) 62 (18.6) 108 (15.5) 74 (17.0)\n Prefer not to answer 47 (10.2) 32 (9.6) 76 (10.9) 28 (6.4)\nEducation level, n (%)\n Completed junior/lower/primary school 18 (3.6) 17 (4.7) 6 (0.9) 0 (0.0)\n Completed senior/high/secondary school 133 (26.9) 98 (26.8) 265 (37.8) 132 (30.0)\n Postschool vocational qualification/diploma 147 (29.7) 111 (30.4) 138 (19.7) 94 (21.4)\n Undergraduate university degree 131 (26.5) 93 (25.5) 214 (30.5) 159 (36.1)\n Postgraduate university degree 66 (13.3) 46 (12.6) 78 (11.1) 55 (12.5)\nSD standard deviation.\naTwo participants in the Australian sample did not report their gender and four participants in the U.S. sample did not report their gender.\nbFour participants in the U.S. sample did not report their employment status.\ncFour participants in the U.S. sample did not report their marital status.\ndFour participants in the U.S. sample did not report their ethnicity.\neThirty-one participants in the Australian sample did not report their income and four participants in the U.S. sample did not report their income."}

{"project":"LitCovid-PubTator","denotations":[{"id":"79","span":{"begin":197,"end":209},"obj":"Species"},{"id":"80","span":{"begin":434,"end":447},"obj":"Species"},{"id":"81","span":{"begin":2581,"end":2588},"obj":"Disease"},{"id":"84","span":{"begin":2820,"end":2832},"obj":"Species"},{"id":"85","span":{"begin":2895,"end":2907},"obj":"Species"},{"id":"87","span":{"begin":2962,"end":2974},"obj":"Species"},{"id":"89","span":{"begin":3040,"end":3052},"obj":"Species"},{"id":"91","span":{"begin":3115,"end":3127},"obj":"Species"},{"id":"94","span":{"begin":3191,"end":3203},"obj":"Species"},{"id":"95","span":{"begin":3266,"end":3278},"obj":"Species"}],"attributes":[{"id":"A79","pred":"tao:has_database_id","subj":"79","obj":"Tax:9606"},{"id":"A80","pred":"tao:has_database_id","subj":"80","obj":"Tax:32644"},{"id":"A84","pred":"tao:has_database_id","subj":"84","obj":"Tax:9606"},{"id":"A85","pred":"tao:has_database_id","subj":"85","obj":"Tax:9606"},{"id":"A87","pred":"tao:has_database_id","subj":"87","obj":"Tax:9606"},{"id":"A89","pred":"tao:has_database_id","subj":"89","obj":"Tax:9606"},{"id":"A91","pred":"tao:has_database_id","subj":"91","obj":"Tax:9606"},{"id":"A94","pred":"tao:has_database_id","subj":"94","obj":"Tax:9606"},{"id":"A95","pred":"tao:has_database_id","subj":"95","obj":"Tax:9606"}],"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. Sample characteristics and descriptive statistics for study variables at baseline and at 1 week follow-up\nVariable Australia sample U.S. sample\nBaseline Follow-up Baseline Follow-up\nParticipants 495 365 701 440\nAge, M years (SD) 47.09 (17.11) 49.78 (16.89) 45.55 (17.40) 51.77 (16.26)\nGender, n (%)a\n Female 252 (51.1) 182 (50.1) 352 (48.9) 205 (46.6)\n Male 241 (48.9) 181 (49.9) 341 (50.5) 231 (52.5)\n Not specified/prefer not to answer 0 (0.0) 0 (0.0) 4 (0.6) 4 (0.9)\nEmployment status, n (%)b\n Currently unemployed/full-time caregiver 231 (46.7) 180 (49.3) 330 (47.3) 216 (49.5)\n Part-time/casual employed 97 (19.6) 65 (17.8) 106 (15.2) 60 (13.8)\n Currently employed full time 140 (28.3) 104 (28.5) 233 (33.4) 147 (33.7)\n Leave without pay/furloughed 27 (5.5) 16 (4.4) 28 (4.0) 13 (3.0)\nMarital status, n (%)c\n Married 184 (37.2) 146 (40.0) 300 (43.0) 224 (51.4)\n Widowed 8 (1.6) 7 (1.9) 22 (3.2) 18 (4.1)\n Separated/divorced 53 (10.7) 39 (10.7) 69 (9.9) 47 (10.8)\n Never married 160 (32.3) 103 (28.2) 255 (36.6) 126(28.9)\n Married de facto 90 (18.2) 70 (19.2) 51 (7.3) 21 (4.8)\nEthnicity, n (%)d\n Black 3 (0.6) 1 (0.3) 52 (7.5) 26 (6.0)\n Caucasian/White 392 (79.2) 304 (83.3) 566 (81.2) 376 (86.2)\n Asian (South-East Asia/South Asia) 71 (14.3) 43 (11.8) 39 (5.6) 24 (5.5)\n Middle-Eastern 6 (1.2) 3 (0.8) 1 (0.1) 0 (0.0)\n Other 13 (2.6) 6 (1.6) 27 (3.9) 8 (1.8)\n Prefer not to answer 10 (2.0) 8 (2.2) 12 (1.7) 2 (0.5)\nIncome, n (%)e\n Zero income 8 (1.7) 4 (1.2) 31 (4.4) 19 (4.4)\n $1–$199 ($1–$10,399) 9 (2.0) 6 (1.8) 40 (5.7) 24 (5.5)\n $200–$299 ($10,400–$15,599) 12 (2.6) 8 (2.4) 34 (4.9) 23 (5.3)\n $300–$399 ($15,600–$20,799) 19 (4.1) 12 (3.6) 38 (5.5) 23 (5.3)\n $400–$599 ($20,800–$31,199) 42 (9.2) 33 (9.9) 62 (8.9) 33 (7.6)\n $600–$799 ($31,200–$41,599) 57 (12.4) 42 (12.6) 61 (8.8) 39 (8.9)\n $800–$999 ($41,600–$51,999) 45 (9.8) 31 (9.3) 68 (9.8) 46 (10.6)\n $1,000–$1,249 ($52,000–$64,999) 39 (8.5) 32 (9.6) 48 (6.9) 38 (8.7)\n $1,250–$1,499 ($65,000–$77,999) 28 (6.1) 22 (6.6) 59 (8.5) 41 (9.4)\n $1,500–$1,999 ($78,000–$103,999) 72 (15.7) 50 (15.0) 72 (10.3) 48 (11.0)\n $2,000 or more ($104,000 or more) 81 (17.6) 62 (18.6) 108 (15.5) 74 (17.0)\n Prefer not to answer 47 (10.2) 32 (9.6) 76 (10.9) 28 (6.4)\nEducation level, n (%)\n Completed junior/lower/primary school 18 (3.6) 17 (4.7) 6 (0.9) 0 (0.0)\n Completed senior/high/secondary school 133 (26.9) 98 (26.8) 265 (37.8) 132 (30.0)\n Postschool vocational qualification/diploma 147 (29.7) 111 (30.4) 138 (19.7) 94 (21.4)\n Undergraduate university degree 131 (26.5) 93 (25.5) 214 (30.5) 159 (36.1)\n Postgraduate university degree 66 (13.3) 46 (12.6) 78 (11.1) 55 (12.5)\nSD standard deviation.\naTwo participants in the Australian sample did not report their gender and four participants in the U.S. sample did not report their gender.\nbFour participants in the U.S. sample did not report their employment status.\ncFour participants in the U.S. sample did not report their marital status.\ndFour participants in the U.S. sample did not report their ethnicity.\neThirty-one participants in the Australian sample did not report their income and four participants in the U.S. sample did not report their income."}

{"project":"LitCovid-sentences","denotations":[{"id":"T103","span":{"begin":0,"end":8},"obj":"Sentence"},{"id":"T104","span":{"begin":10,"end":115},"obj":"Sentence"},{"id":"T105","span":{"begin":116,"end":155},"obj":"Sentence"},{"id":"T106","span":{"begin":156,"end":196},"obj":"Sentence"},{"id":"T107","span":{"begin":197,"end":229},"obj":"Sentence"},{"id":"T108","span":{"begin":230,"end":307},"obj":"Sentence"},{"id":"T109","span":{"begin":308,"end":322},"obj":"Sentence"},{"id":"T110","span":{"begin":323,"end":378},"obj":"Sentence"},{"id":"T111","span":{"begin":379,"end":432},"obj":"Sentence"},{"id":"T112","span":{"begin":433,"end":504},"obj":"Sentence"},{"id":"T113","span":{"begin":505,"end":530},"obj":"Sentence"},{"id":"T114","span":{"begin":531,"end":620},"obj":"Sentence"},{"id":"T115","span":{"begin":621,"end":692},"obj":"Sentence"},{"id":"T116","span":{"begin":693,"end":770},"obj":"Sentence"},{"id":"T117","span":{"begin":771,"end":840},"obj":"Sentence"},{"id":"T118","span":{"begin":841,"end":863},"obj":"Sentence"},{"id":"T119","span":{"begin":864,"end":920},"obj":"Sentence"},{"id":"T120","span":{"begin":921,"end":967},"obj":"Sentence"},{"id":"T121","span":{"begin":968,"end":1030},"obj":"Sentence"},{"id":"T122","span":{"begin":1031,"end":1092},"obj":"Sentence"},{"id":"T123","span":{"begin":1093,"end":1152},"obj":"Sentence"},{"id":"T124","span":{"begin":1153,"end":1170},"obj":"Sentence"},{"id":"T125","span":{"begin":1171,"end":1215},"obj":"Sentence"},{"id":"T126","span":{"begin":1216,"end":1280},"obj":"Sentence"},{"id":"T127","span":{"begin":1281,"end":1358},"obj":"Sentence"},{"id":"T128","span":{"begin":1359,"end":1410},"obj":"Sentence"},{"id":"T129","span":{"begin":1411,"end":1455},"obj":"Sentence"},{"id":"T130","span":{"begin":1456,"end":1515},"obj":"Sentence"},{"id":"T131","span":{"begin":1516,"end":1530},"obj":"Sentence"},{"id":"T132","span":{"begin":1531,"end":1581},"obj":"Sentence"},{"id":"T133","span":{"begin":1582,"end":1641},"obj":"Sentence"},{"id":"T134","span":{"begin":1642,"end":1709},"obj":"Sentence"},{"id":"T135","span":{"begin":1710,"end":1778},"obj":"Sentence"},{"id":"T136","span":{"begin":1779,"end":1847},"obj":"Sentence"},{"id":"T137","span":{"begin":1848,"end":1918},"obj":"Sentence"},{"id":"T138","span":{"begin":1919,"end":1988},"obj":"Sentence"},{"id":"T139","span":{"begin":1989,"end":2061},"obj":"Sentence"},{"id":"T140","span":{"begin":2062,"end":2134},"obj":"Sentence"},{"id":"T141","span":{"begin":2135,"end":2212},"obj":"Sentence"},{"id":"T142","span":{"begin":2213,"end":2292},"obj":"Sentence"},{"id":"T143","span":{"begin":2293,"end":2356},"obj":"Sentence"},{"id":"T144","span":{"begin":2357,"end":2379},"obj":"Sentence"},{"id":"T145","span":{"begin":2380,"end":2456},"obj":"Sentence"},{"id":"T146","span":{"begin":2457,"end":2543},"obj":"Sentence"},{"id":"T147","span":{"begin":2544,"end":2635},"obj":"Sentence"},{"id":"T148","span":{"begin":2636,"end":2715},"obj":"Sentence"},{"id":"T149","span":{"begin":2716,"end":2791},"obj":"Sentence"},{"id":"T150","span":{"begin":2792,"end":2814},"obj":"Sentence"},{"id":"T151","span":{"begin":2815,"end":2955},"obj":"Sentence"},{"id":"T152","span":{"begin":2956,"end":3033},"obj":"Sentence"},{"id":"T153","span":{"begin":3034,"end":3108},"obj":"Sentence"},{"id":"T154","span":{"begin":3109,"end":3178},"obj":"Sentence"},{"id":"T155","span":{"begin":3179,"end":3326},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 1. Sample characteristics and descriptive statistics for study variables at baseline and at 1 week follow-up\nVariable Australia sample U.S. sample\nBaseline Follow-up Baseline Follow-up\nParticipants 495 365 701 440\nAge, M years (SD) 47.09 (17.11) 49.78 (16.89) 45.55 (17.40) 51.77 (16.26)\nGender, n (%)a\n Female 252 (51.1) 182 (50.1) 352 (48.9) 205 (46.6)\n Male 241 (48.9) 181 (49.9) 341 (50.5) 231 (52.5)\n Not specified/prefer not to answer 0 (0.0) 0 (0.0) 4 (0.6) 4 (0.9)\nEmployment status, n (%)b\n Currently unemployed/full-time caregiver 231 (46.7) 180 (49.3) 330 (47.3) 216 (49.5)\n Part-time/casual employed 97 (19.6) 65 (17.8) 106 (15.2) 60 (13.8)\n Currently employed full time 140 (28.3) 104 (28.5) 233 (33.4) 147 (33.7)\n Leave without pay/furloughed 27 (5.5) 16 (4.4) 28 (4.0) 13 (3.0)\nMarital status, n (%)c\n Married 184 (37.2) 146 (40.0) 300 (43.0) 224 (51.4)\n Widowed 8 (1.6) 7 (1.9) 22 (3.2) 18 (4.1)\n Separated/divorced 53 (10.7) 39 (10.7) 69 (9.9) 47 (10.8)\n Never married 160 (32.3) 103 (28.2) 255 (36.6) 126(28.9)\n Married de facto 90 (18.2) 70 (19.2) 51 (7.3) 21 (4.8)\nEthnicity, n (%)d\n Black 3 (0.6) 1 (0.3) 52 (7.5) 26 (6.0)\n Caucasian/White 392 (79.2) 304 (83.3) 566 (81.2) 376 (86.2)\n Asian (South-East Asia/South Asia) 71 (14.3) 43 (11.8) 39 (5.6) 24 (5.5)\n Middle-Eastern 6 (1.2) 3 (0.8) 1 (0.1) 0 (0.0)\n Other 13 (2.6) 6 (1.6) 27 (3.9) 8 (1.8)\n Prefer not to answer 10 (2.0) 8 (2.2) 12 (1.7) 2 (0.5)\nIncome, n (%)e\n Zero income 8 (1.7) 4 (1.2) 31 (4.4) 19 (4.4)\n $1–$199 ($1–$10,399) 9 (2.0) 6 (1.8) 40 (5.7) 24 (5.5)\n $200–$299 ($10,400–$15,599) 12 (2.6) 8 (2.4) 34 (4.9) 23 (5.3)\n $300–$399 ($15,600–$20,799) 19 (4.1) 12 (3.6) 38 (5.5) 23 (5.3)\n $400–$599 ($20,800–$31,199) 42 (9.2) 33 (9.9) 62 (8.9) 33 (7.6)\n $600–$799 ($31,200–$41,599) 57 (12.4) 42 (12.6) 61 (8.8) 39 (8.9)\n $800–$999 ($41,600–$51,999) 45 (9.8) 31 (9.3) 68 (9.8) 46 (10.6)\n $1,000–$1,249 ($52,000–$64,999) 39 (8.5) 32 (9.6) 48 (6.9) 38 (8.7)\n $1,250–$1,499 ($65,000–$77,999) 28 (6.1) 22 (6.6) 59 (8.5) 41 (9.4)\n $1,500–$1,999 ($78,000–$103,999) 72 (15.7) 50 (15.0) 72 (10.3) 48 (11.0)\n $2,000 or more ($104,000 or more) 81 (17.6) 62 (18.6) 108 (15.5) 74 (17.0)\n Prefer not to answer 47 (10.2) 32 (9.6) 76 (10.9) 28 (6.4)\nEducation level, n (%)\n Completed junior/lower/primary school 18 (3.6) 17 (4.7) 6 (0.9) 0 (0.0)\n Completed senior/high/secondary school 133 (26.9) 98 (26.8) 265 (37.8) 132 (30.0)\n Postschool vocational qualification/diploma 147 (29.7) 111 (30.4) 138 (19.7) 94 (21.4)\n Undergraduate university degree 131 (26.5) 93 (25.5) 214 (30.5) 159 (36.1)\n Postgraduate university degree 66 (13.3) 46 (12.6) 78 (11.1) 55 (12.5)\nSD standard deviation.\naTwo participants in the Australian sample did not report their gender and four participants in the U.S. sample did not report their gender.\nbFour participants in the U.S. sample did not report their employment status.\ncFour participants in the U.S. sample did not report their marital status.\ndFour participants in the U.S. sample did not report their ethnicity.\neThirty-one participants in the Australian sample did not report their income and four participants in the U.S. sample did not report their income."}