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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 3764-3770 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279
T2 4001-4005 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712
T3 4112-4118 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279
T4 5027-5031 Body_part denotes Chin http://purl.org/sig/ont/fma/fma46495
T5 5166-5173 Body_part denotes hormone http://purl.org/sig/ont/fma/fma12278
T6 5612-5617 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T7 6190-6194 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712
T8 6421-6425 Body_part denotes Chin http://purl.org/sig/ont/fma/fma46495
T9 11181-11185 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T10 13862-13864 Body_part denotes H3 http://purl.org/sig/ont/fma/fma84131
T11 14093-14095 Body_part denotes H4 http://purl.org/sig/ont/fma/fma84132
T12 27523-27526 Body_part denotes LRT http://purl.org/sig/ont/fma/fma273029
T13 32113-32117 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712
T14 32856-32858 Body_part denotes H3 http://purl.org/sig/ont/fma/fma84131
T15 33817-33819 Body_part denotes H4 http://purl.org/sig/ont/fma/fma84132
T16 34604-34610 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 4001-4005 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398
T2 5027-5031 Body_part denotes Chin http://purl.obolibrary.org/obo/UBERON_0008199
T3 5612-5617 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T4 6190-6194 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398
T5 6421-6425 Body_part denotes Chin http://purl.obolibrary.org/obo/UBERON_0008199
T6 11181-11185 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456
T7 16895-16900 Body_part denotes Scale http://purl.obolibrary.org/obo/UBERON_0002542
T8 17102-17107 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T9 17201-17206 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T10 23236-23241 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T11 32113-32117 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398
T12 37475-37480 Body_part denotes Scale http://purl.obolibrary.org/obo/UBERON_0002542
T13 40039-40044 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T14 40129-40134 Body_part denotes Scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 36-44 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 131-133 Disease denotes ET http://purl.obolibrary.org/obo/MONDO_0005029
T3 188-196 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 567-575 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 1008-1016 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 1045-1053 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 1312-1320 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1763-1771 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 2165-2169 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T10 2189-2196 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T12 2389-2397 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 3081-3091 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T14 3093-3101 Disease denotes insomnia http://purl.obolibrary.org/obo/MONDO_0013600
T15 3107-3114 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T17 3723-3733 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T18 3738-3745 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T20 3764-3780 Disease denotes mental disorders http://purl.obolibrary.org/obo/MONDO_0002025|http://purl.obolibrary.org/obo/MONDO_0005084
T22 3875-3883 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 7534-7542 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T24 7969-7979 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T25 8044-8052 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 8164-8172 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 8269-8278 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T28 8736-8743 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T30 8877-8886 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T31 9096-9104 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 9208-9231 Disease denotes anxiety, and depression http://purl.obolibrary.org/obo/MONDO_0041086
T33 9208-9215 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T35 9221-9231 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T36 9326-9334 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T37 10420-10424 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T38 10853-10857 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T39 11058-11066 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T40 11234-11242 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 13414-13422 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T42 13940-13948 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 17575-17583 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T44 19976-19984 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 23394-23402 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T46 24671-24679 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T47 25272-25280 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T48 26126-26128 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T49 26265-26267 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T50 26334-26336 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T51 26431-26433 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T52 26516-26518 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T53 26679-26687 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T54 26728-26730 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T55 26875-26877 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T56 26978-26980 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T57 27198-27200 Disease denotes SE http://purl.obolibrary.org/obo/MONDO_0002125
T58 27400-27408 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T59 28698-28701 Disease denotes ICC http://purl.obolibrary.org/obo/MONDO_0003210
T60 28848-28856 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T61 29408-29416 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T62 31875-31883 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T63 32067-32086 Disease denotes anxiety, depression http://purl.obolibrary.org/obo/MONDO_0041086
T64 32067-32074 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T66 32076-32086 Disease denotes depression http://purl.obolibrary.org/obo/MONDO_0002050
T67 33026-33034 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T68 33415-33423 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T69 33504-33511 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T71 34261-34269 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T72 34703-34711 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T73 36010-36018 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T74 37003-37011 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096
T75 39297-39305 Disease denotes COVID‐19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 254-255 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 508-509 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 880-881 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 971-972 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 994-995 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 1351-1352 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1389-1392 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T8 1487-1488 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 1932-1940 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T10 2720-2725 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T11 2975-2976 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 3675-3678 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T13 3935-3936 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 4359-4360 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T15 4378-4379 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 4947-4948 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 5009-5010 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T18 5080-5081 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 5164-5165 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T20 5612-5617 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T21 5612-5617 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T22 5694-5695 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 5795-5796 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 5832-5833 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 6002-6003 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 6057-6058 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 6248-6249 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 6299-6300 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T29 6498-6499 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 6573-6574 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 7022-7023 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T32 7051-7054 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T33 7385-7386 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 7621-7624 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T35 7814-7815 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 7838-7840 http://purl.obolibrary.org/obo/CLO_0001527 denotes 94
T37 8126-8127 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 8262-8268 http://purl.obolibrary.org/obo/NCBITaxon_9796 denotes equine
T39 8367-8368 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 8870-8876 http://purl.obolibrary.org/obo/NCBITaxon_9796 denotes equine
T41 9000-9001 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T42 9277-9278 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T43 9359-9360 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 9897-9898 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 10376-10385 http://purl.obolibrary.org/obo/BFO_0000030 denotes objective
T46 10481-10493 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T47 10544-10545 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T48 10830-10831 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T49 11181-11185 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T50 11514-11517 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T51 11609-11610 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T52 11724-11731 http://purl.obolibrary.org/obo/CLO_0009985 denotes focuses
T53 11817-11820 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T54 12121-12122 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 12524-12525 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T56 12616-12617 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T57 12697-12702 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T58 13015-13019 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T59 13252-13253 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T60 13272-13274 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T61 14093-14095 http://purl.obolibrary.org/obo/CLO_0003599 denotes H4
T62 14154-14156 http://purl.obolibrary.org/obo/CLO_0003607 denotes H5
T63 14462-14463 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 14542-14544 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T65 15118-15120 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T66 15419-15421 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T67 15916-15917 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T68 15983-15984 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 17092-17093 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 17298-17299 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T71 17562-17563 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 17623-17624 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T73 17646-17647 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 17705-17706 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T75 17780-17787 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T76 17850-17851 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T77 18031-18032 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T78 18206-18207 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T79 18480-18481 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T80 18580-18581 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T81 18644-18645 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T82 18951-18952 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 19118-19125 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T84 19150-19151 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T85 19201-19202 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T86 19258-19259 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T87 19524-19531 http://purl.obolibrary.org/obo/UBERON_0000982 denotes jointly
T88 19524-19531 http://purl.obolibrary.org/obo/UBERON_0004905 denotes jointly
T89 19536-19542 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T90 19808-19809 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T91 20070-20082 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T92 20295-20296 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T93 20327-20328 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T94 20457-20463 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T95 20523-20524 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T96 21550-21551 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T97 21660-21666 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T98 21671-21672 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T99 23031-23037 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T100 23219-23220 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T101 23684-23688 http://purl.obolibrary.org/obo/CLO_0001302 denotes 3 4
T102 23779-23780 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T103 23824-23825 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T104 24467-24468 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T105 24496-24497 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T106 24544-24551 http://purl.obolibrary.org/obo/CLO_0052947 denotes p < .01
T107 25505-25506 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T108 25907-25908 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T109 25928-25929 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T110 26443-26450 http://purl.obolibrary.org/obo/CLO_0052947 denotes p < .01
T111 26606-26607 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T112 27021-27022 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T113 27698-27699 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T114 28010-28011 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T115 28039-28040 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T116 28503-28507 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T117 29394-29395 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T118 30652-30653 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T119 30769-30770 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T120 31646-31647 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T121 31733-31734 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T122 32458-32459 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T123 32508-32514 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T124 32718-32719 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T125 33391-33392 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T126 33569-33572 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T127 33817-33819 http://purl.obolibrary.org/obo/CLO_0003599 denotes H4
T128 33936-33937 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T129 34239-34240 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T130 34341-34342 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T131 34448-34449 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T132 34488-34490 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T133 34723-34725 http://purl.obolibrary.org/obo/CLO_0003607 denotes H5
T134 35517-35518 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T135 36082-36084 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T136 36082-36084 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T137 36229-36236 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T138 36316-36317 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T139 36432-36433 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T140 36604-36605 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T141 36897-36898 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T142 37263-37264 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T143 37298-37301 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T144 37302-37303 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T145 37400-37406 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T146 37418-37419 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T147 38349-38350 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T148 38690-38691 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T149 38876-38877 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T150 39191-39192 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T151 39436-39441 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T152 39833-39835 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T153 40052-40054 http://purl.obolibrary.org/obo/CLO_0008922 denotes S2
T154 40052-40054 http://purl.obolibrary.org/obo/CLO_0050052 denotes S2
T155 40174-40175 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T156 40352-40353 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T157 40481-40483 http://purl.obolibrary.org/obo/CLO_0008933 denotes S5
T158 40779-40781 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T159 40879-40880 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T160 40893-40894 http://purl.obolibrary.org/obo/CLO_0001021 denotes B

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 36-44 Disease denotes COVID‐19 MESH:C000657245
4 188-196 Disease denotes COVID‐19 MESH:C000657245
5 567-575 Disease denotes COVID‐19 MESH:C000657245
7 1008-1016 Disease denotes COVID‐19 MESH:C000657245
9 1045-1053 Disease denotes COVID‐19 MESH:C000657245
15 1312-1320 Disease denotes COVID‐19 MESH:C000657245
16 1763-1771 Disease denotes COVID‐19 MESH:C000657245
17 2115-2124 Disease denotes mortality MESH:D003643
18 2189-2196 Disease denotes anxiety MESH:D001007
19 2389-2397 Disease denotes COVID‐19 MESH:C000657245
27 3081-3091 Disease denotes depression MESH:D000275
28 3093-3101 Disease denotes insomnia MESH:D007319
29 3107-3114 Disease denotes anxiety MESH:D001007
30 3723-3733 Disease denotes depression MESH:D000275
31 3738-3745 Disease denotes anxiety MESH:D001007
32 3764-3780 Disease denotes mental disorders MESH:D001523
33 3875-3883 Disease denotes COVID‐19 MESH:C000657245
36 5147-5155 Chemical denotes cortisol MESH:D006854
37 5288-5296 Chemical denotes cortisol MESH:D006854
39 7534-7542 Disease denotes COVID‐19 MESH:C000657245
43 7969-7979 Disease denotes depression MESH:D000275
44 8044-8052 Disease denotes COVID‐19 MESH:C000657245
45 8164-8172 Disease denotes COVID‐19 MESH:C000657245
48 8727-8734 Disease denotes sadness
49 8736-8743 Disease denotes anxiety MESH:D001007
54 9096-9104 Disease denotes COVID‐19 MESH:C000657245
55 9208-9215 Disease denotes anxiety MESH:D001007
56 9221-9231 Disease denotes depression MESH:D000275
57 9326-9334 Disease denotes COVID‐19 MESH:C000657245
61 10408-10416 Disease denotes infected MESH:D007239
62 10901-10912 Disease denotes psychiatric MESH:D001523
63 11058-11066 Disease denotes COVID‐19 MESH:C000657245
66 11221-11226 Disease denotes death MESH:D003643
67 11234-11242 Disease denotes COVID‐19 MESH:C000657245
69 13414-13422 Disease denotes COVID‐19 MESH:C000657245
71 13940-13948 Disease denotes COVID‐19 MESH:C000657245
73 16888-16894 Disease denotes Stress MESH:D000079225
75 17575-17583 Disease denotes COVID‐19 MESH:C000657245
77 22274-22280 Disease denotes Stress MESH:D000079225
79 23394-23402 Disease denotes COVID-19 MESH:C000657245
81 24671-24679 Disease denotes COVID-19 MESH:C000657245
83 25272-25280 Disease denotes COVID‐19 MESH:C000657245
85 26679-26687 Disease denotes COVID‐19 MESH:C000657245
87 27400-27408 Disease denotes COVID‐19 MESH:C000657245
89 28276-28285 Disease denotes eCOVID‐19 MESH:C000657245
91 28848-28856 Disease denotes COVID-19 MESH:C000657245
93 29408-29416 Disease denotes COVID‐19 MESH:C000657245
95 30130-30136 Disease denotes Stress MESH:D000079225
98 31187-31189 Chemical denotes H2 MESH:D003903
99 31239-31245 Disease denotes Stress MESH:D000079225
103 31875-31883 Disease denotes COVID‐19 MESH:C000657245
104 32067-32074 Disease denotes anxiety MESH:D001007
105 32076-32086 Disease denotes depression MESH:D000275
107 32909-32915 Disease denotes Stress MESH:D000079225
111 33026-33034 Disease denotes COVID‐19 MESH:C000657245
112 33415-33423 Disease denotes COVID‐19 MESH:C000657245
113 33504-33511 Disease denotes anxiety MESH:D001007
115 33859-33865 Disease denotes Stress MESH:D000079225
118 34261-34269 Disease denotes COVID‐19 MESH:C000657245
119 34703-34711 Disease denotes COVID‐19 MESH:C000657245
121 34791-34797 Disease denotes Stress MESH:D000079225
123 35677-35683 Disease denotes Stress MESH:D000079225
125 36010-36018 Disease denotes COVID‐19 MESH:C000657245
128 37003-37011 Disease denotes COVID‐19 MESH:C000657245
129 37468-37474 Disease denotes Stress MESH:D000079225
131 39297-39305 Disease denotes COVID‐19 MESH:C000657245

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 2189-2196 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T2 3070-3079 Phenotype denotes hostility http://purl.obolibrary.org/obo/HP_0031473
T3 3081-3091 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T4 3093-3101 Phenotype denotes insomnia http://purl.obolibrary.org/obo/HP_0100785
T5 3107-3114 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T6 3723-3733 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T7 3738-3745 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T8 4406-4425 Phenotype denotes social interactions http://purl.obolibrary.org/obo/HP_0008763
T9 7969-7979 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T10 8736-8743 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T11 9208-9215 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T12 9221-9231 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T13 32067-32074 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T14 32076-32086 Phenotype denotes depression http://purl.obolibrary.org/obo/HP_0000716
T15 33504-33511 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 1547-1556 http://purl.obolibrary.org/obo/GO_0006810 denotes transport
T2 12509-12519 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviours
T3 17057-17067 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviours

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-54 Sentence denotes Who is the Most Stressed During the COVID‐19 Pandemic?
T2 55-87 Sentence denotes Data From 26 Countries and Areas
T3 88-124 Sentence denotes Perceived Stress During the Pandemic
T4 125-137 Sentence denotes KOWAL ET AL.
T5 139-147 Sentence denotes Abstract
T6 148-158 Sentence denotes Background
T7 159-250 Sentence denotes To limit the rapid spread of COVID‐19, countries have asked their citizens to stay at home.
T8 251-400 Sentence denotes As a result, demographic and cultural factors related to home life have become especially relevant to predict population well‐being during isolation.
T9 401-635 Sentence denotes This pre‐registered worldwide study analyses the relationship between the number of adults and children in a household, marital status, age, gender, education level, COVID‐19 severity, individualism–collectivism, and perceived stress.
T10 637-644 Sentence denotes Methods
T11 645-747 Sentence denotes We used the COVIDiSTRESS Global Survey data of 53,524 online participants from 26 countries and areas.
T12 748-806 Sentence denotes The data were collected between 30 March and 6 April 2020.
T13 808-815 Sentence denotes Results
T14 816-1027 Sentence denotes Higher levels of stress were associated with younger age, being a woman, lower level of education, being single, staying with more children, and living in a country or area with a more severe COVID‐19 situation.
T15 1029-1040 Sentence denotes Conclusions
T16 1041-1156 Sentence denotes The COVID‐19 pandemic revealed that certain people may be more susceptible to experience elevated levels of stress.
T17 1157-1293 Sentence denotes Our findings highlight the need for public health to be attentive to both the physical and the psychological well‐being of these groups.
T18 1295-1307 Sentence denotes INTRODUCTION
T19 1308-1358 Sentence denotes The COVID‐19 pandemic brought the world to a halt.
T20 1359-1434 Sentence denotes Since early 2020, social life has changed for many people around the world.
T21 1435-1758 Sentence denotes Government restrictions and new social norms led to a reduction in mobility (Google, 2020), avoidance of public transport, cancellation of the majority of large events such as concerts, festivals, religious and sports events, and the temporary closing down of meeting places such as cafes, restaurants, museums or theatres.
T22 1759-1993 Sentence denotes The COVID‐19 outbreak and measures undertaken by almost all the countries around the world pose numerous threats to people's psychological well‐being; thus, we believe that focusing on our closest social environment is greatly needed.
T23 1994-2427 Sentence denotes Both relative lack of social relations (Tay et al., 2013) and negative emotions (Huppert, 2009) strongly predict overall mortality and disease outcomes, and the threat of SARS‐CoV‐2 may increase anxiety levels (Karwowski et al., 2020) and prejudice toward other nationalities (Sorokowski et al., 2020), rendering any effort to understand stress in isolated or quarantined individuals during the COVID‐19 pandemic even more important.
T24 2428-2602 Sentence denotes Moreover, to understand possible negative effects, it is important to unpick the pre‐existing factors that can predict the stress levels of people in quarantine or isolation.
T25 2604-2616 Sentence denotes Other People
T26 2617-2678 Sentence denotes One such factor is the presence (or absence) of other people.
T27 2679-2935 Sentence denotes To date, most of the existing studies on human isolation and confinement are naturalistic observational studies, such as the SEALAB project (Radloff & Helmreich, 1968), or the South African National Research station (SANAE) in Antarctica (Vermeulen, 1977).
T28 2936-3115 Sentence denotes Under these difficult circumstances of a physically and socially restricted environment, participants reported high indices of severe hostility, depression, insomnia, and anxiety.
T29 3116-3308 Sentence denotes Studies on prisoner populations suggest that social factors can significantly boost prisoner’s well‐being, which can otherwise be disrupted by jail isolation (Kyprianides & Easterbrook, 2020).
T30 3309-3431 Sentence denotes The conditions in which participants of the aforementioned studies were put are far from what people are experiencing now.
T31 3432-3589 Sentence denotes Although being relatively isolated from the outside world, many of us remain within the comfort of our own homes, usually surrounded by friends or relatives.
T32 3590-3661 Sentence denotes However, there are also people who are getting through this time alone.
T33 3662-3802 Sentence denotes Living alone has been previously linked to higher indices of depression and anxiety, and other common mental disorders (Jacob et al., 2019).
T34 3803-3987 Sentence denotes Therefore, those who live alone might experience more stress due to the COVID‐19 situation than those living with people who may be a source of potential support (Cohen & Wills, 1985).
T35 3988-4053 Sentence denotes On the other hand, being around others might be stress‐enhancing.
T36 4054-4285 Sentence denotes Specifically, the company of others can be detrimental to mental health when one is subjected to overcrowding—or, in the current situation—residential or household crowding, highly prevalent in developing countries (Epstein, 1981).
T37 4286-4532 Sentence denotes Studies suggest that this type of chronic stress is often accompanied by a lack of privacy, a higher number of unwanted social interactions, possible deterioration of relationships with the family or flatmates, and so forth (Fuller et al., 1996).
T38 4533-4783 Sentence denotes Considering the above, we hypothesise that the relationship between the number of people one is stuck with during isolation is somewhat U‐shaped—those who live alone and those who are subjected to overcrowding experience the highest levels of stress.
T39 4785-4807 Sentence denotes Intimate Relationships
T40 4808-5008 Sentence denotes In general, married individuals are happier (Lee & Ono, 2012), live longer and healthier lives (Kiecolt‐Glaser & Newton, 2001), and are at a lower risk of committing suicide (Waite & Gallagher, 2001).
T41 5009-5102 Sentence denotes A recent study by Chin et al. (2017) supported previous conclusions at a physiological level.
T42 5103-5414 Sentence denotes Interestingly, the authors investigated the cortisol levels (a hormone that is often associated with stress) of married and single persons, and found that married individuals had lower cortisol levels than unmarried and previously married people, which would suggest that they experience lower levels of stress.
T43 5415-5756 Sentence denotes Similar patterns have been observed among persons in intimate relationships (not necessarily married), who exhibited lower levels of stress compared with single persons when stress was assessed by blood pressure (Sisca, 1985), self‐reported measures (Hudson & O'Regan, 1994), or a broad range of well‐being indices (Sorokowski et al., 2019).
T44 5757-5923 Sentence denotes Despite numerous advantages, being in a romantic relationship also carries a number of risks, for instance, contagion of negative emotions (Roberts & Levenson, 2001).
T45 5924-6176 Sentence denotes Moreover, when couples encounter difficulties, such as financial hardship, or a lack of support from the spouse, they may experience a pronounced decrease in marital satisfaction, which can lead to an increase in stress levels (Archuleta et al., 2011).
T46 6177-6440 Sentence denotes On the other hand, intimate relationships allow for dyadic coping (for a review, see Bodenmann, 2005), and often serve as a buffer against difficult situations (Gottlieb & Wagner, 1991), which may in turn translate into lower levels of stress (Chin et al., 2017).
T47 6441-6630 Sentence denotes Here, we intend to investigate whether marital status is a significant predictor of stress levels during quarantine or isolation on a large dataset from numerous countries around the world.
T48 6631-6842 Sentence denotes We hypothesise that during the difficult times of relative isolation, being in an intimate relationship (i.e. marriage or cohabitation) is more beneficial in terms of experienced stress levels than being single.
T49 6844-6862 Sentence denotes Number of Children
T50 6863-6996 Sentence denotes Also of interest is how having and living with children relates to the experiences of adults during the period of relative isolation.
T51 6997-7241 Sentence denotes Having children is quite a positive experience, as it has been generally related to greater life satisfaction, especially amongst married couples in contrast to individuals who are separated, cohabiting or never‐married singles (Angeles, 2010).
T52 7242-7311 Sentence denotes Nevertheless, having children may also foster elevated stress levels.
T53 7312-7474 Sentence denotes Parental stress is the result of the gap between the challenges of being a parent and the parent’s perceived ability to cope with those challenges (Abidin, 1995).
T54 7475-7604 Sentence denotes This kind of stress may be even more pronounced during the COVID‐19 outbreak, as most parents now must homeschool their children.
T55 7605-7799 Sentence denotes Parental stress has been associated with numerous negative feelings and thoughts, such as feeling overwhelmed and dissatisfied, and also perceiving the child as difficult (Haskett et al., 2006).
T56 7800-7924 Sentence denotes For instance, a study on parents from 94 countries showed that parenthood is negatively linked to well‐being (Stanca, 2012).
T57 7925-8111 Sentence denotes As outbreaks make individuals vulnerable to depression and diminished social support (Stein et al., 2005), the current COVID‐19 pandemic may compromise parenting and childcare practices.
T58 8112-8250 Sentence denotes Concerns over a child younger than 16 years getting COVID‐19 have been reported as very common among parents in China (Wang et al., 2020).
T59 8251-8444 Sentence denotes During the equine influenza outbreak in Australia, Taylor et al. (2008) found that individuals having one child had a 1.2 times higher risk of experiencing distress than those with no children.
T60 8445-8557 Sentence denotes Therefore, we hypothesise that having children at home may be associated with higher levels of stress in adults.
T61 8559-8565 Sentence denotes Gender
T62 8566-8672 Sentence denotes Gender seems to be related to well‐being (Mroczek & Kolarz, 1998) and stress levels (Taylor et al., 2008).
T63 8673-8810 Sentence denotes Previous studies have found that women report greater sadness, anxiety, and stress than men (Bergdahl & Bergdahl, 2002; Gao et al, 2019).
T64 8811-8990 Sentence denotes Concerning quarantine, evidence from the first outbreak of equine influenza in Australia showed no gender differences on the level of psychological distress (Taylor et al., 2008).
T65 8991-9168 Sentence denotes However, a recent study by Limcaoco et al. (2020) in 25 countries on susceptibility to stress during the COVID‐19 situation indicated that women report greater levels of stress.
T66 9169-9414 Sentence denotes Similar gender differences for stress, anxiety, and depression symptoms were found by Wang et al. (2020) in a Chinese sample during the initial stage of the COVID‐19 outbreak, although only a minority of the participants reported being confined.
T67 9415-9590 Sentence denotes In sum, while the evidence suggests that women in normal circumstances experience more stress, support for the link between gender and stress under quarantine is inconclusive.
T68 9592-9595 Sentence denotes Age
T69 9596-9797 Sentence denotes Generally, stress levels tend to decrease with age and although older adults report poorer perceived health, they have lower stress levels and higher well‐being than young adults (Archer et al., 2015).
T70 9798-9965 Sentence denotes Bergdahl and Bergdahl (2002) found that self‐reported stress levels increase from the age of 20 to a peak in the 40s, and then decrease to the lowest level in the 60s.
T71 9966-10147 Sentence denotes Stone et al. (2010) argued that well‐being increases after 50 years of age, proposing an inverted U‐shaped relationship between age and well‐being (but see Frackowiak et al., 2020).
T72 10148-10275 Sentence denotes Studies generally support the notion that older people are less affected by stressors than younger people (Feizi et al., 2012).
T73 10276-10371 Sentence denotes Few studies have investigated the relationship between age and stress levels during quarantine.
T74 10372-10509 Sentence denotes The objective consequences of being infected by SARS‐CoV‐2 are higher for the older population (World Health Organization, 2020a, 2020b).
T75 10510-10649 Sentence denotes However, while the perceptions of a highly transmitted illness threat among the elderly may prompt stress, the empirical evidence is mixed.
T76 10650-10784 Sentence denotes For instance, Taylor et al. (2008) found that the negative psychological impact of quarantine is more pronounced among younger people.
T77 10785-10998 Sentence denotes Investigating psychosocial responses towards a national outbreak of SARS in Singapore, Sim et al. (2010) found that psychiatric morbidities are associated with younger age and higher posttraumatic stress symptoms.
T78 10999-11149 Sentence denotes Most recently, an online survey in the early stages of the COVID‐19 outbreak in China found no association between age and stress (Wang et al., 2020).
T79 11150-11455 Sentence denotes As such, although older adults face higher risks of severe disease and death due to COVID‐19 (WHO, 2020b), the evidence suggests that older people are less stressed and less affected by psychological consequences of quarantine and social isolation, while younger ones exhibit the highest levels of stress.
T80 11457-11493 Sentence denotes Individualism–Collectivism Dimension
T81 11494-11707 Sentence denotes The role of culture has been widely studied for decades, with researchers debating how cultural factors may act as a buffer to the environmental stressors or, on the contrary, exacerbate stress levels (Dar, 2017).
T82 11708-11874 Sentence denotes One of the main focuses of research in this area, the individualism–collectivism dimension (Hofstede, 2001), has been linked to stress processing (Chun et al., 2006).
T83 11875-12056 Sentence denotes During the current quarantine, people have been forced to renounce their personal enjoyment (e.g. sports, concerts, shopping, travel, social gatherings) for the sake of group needs.
T84 12057-12306 Sentence denotes Since individualistic, rather than collectivistic, cultures put a higher value on pleasure and hedonism (Schwartz, 2009), it might be reasonable to think that the emotional cost of this quarantine period would be greater in individualistic cultures.
T85 12307-12459 Sentence denotes In fact, collectivistic (vs. individualistic) cultures put more emphasis on group harmony over personal interests and enjoyment (Triandis et al., 1990).
T86 12460-12630 Sentence denotes Moreover, Oarga et al. (2015) found that helping behaviours had a stronger association with life satisfaction in countries where helping others constituted a social norm.
T87 12631-12799 Sentence denotes In this sense, people from collective cultures would be likely to focus on caring for others, thereby alleviating the negative psychological consequences of quarantine.
T88 12800-12952 Sentence denotes Overall, under the prevailing quarantine, the level of stress is expected to be higher for individualistic cultures compared to the collectivistic ones.
T89 12954-12973 Sentence denotes Aims and Hypotheses
T90 12974-13295 Sentence denotes The present study is one of the first to test how the number of persons an individual is staying with in isolation, along with age, gender, marital status, the number of children, and culture (i.e. individualism vs. collectivism) is associated with experienced stress levels in a large sample from 27 countries and areas.
T91 13296-13457 Sentence denotes Furthermore, we want to investigate the link between stress levels and educational background and the severity of the COVID‐19 situation in each country or area.
T92 13458-13563 Sentence denotes Based on the literature review, our pre‐registered hypotheses (see https://osf.io/xf4mj) were as follows:
T93 13564-13567 Sentence denotes H1:
T94 13568-13753 Sentence denotes Individuals living alone and those who are subjected to overcrowding while in isolation experience the highest levels of perceived stress (compared with individuals living with others).
T95 13754-13757 Sentence denotes H2:
T96 13758-13861 Sentence denotes Married and cohabiting persons experience lower levels of stress compared with persons that are single.
T97 13862-13865 Sentence denotes H3:
T98 13866-14005 Sentence denotes Individuals with children would report increased stress levels during the COVID‐19 pandemic compared to people living alone or with adults.
T99 14006-14092 Sentence denotes Levels of perceived stress would increase as the number of children at home increases.
T100 14093-14096 Sentence denotes H4:
T101 14097-14153 Sentence denotes Younger people experience more stress than older people.
T102 14154-14157 Sentence denotes H5:
T103 14158-14254 Sentence denotes People in collectivistic cultures experience less stress than those in individualistic cultures.
T104 14255-14258 Sentence denotes H6:
T105 14259-14350 Sentence denotes Women experience higher levels of stress compared with men (not pre‐registered hypothesis).
T106 14352-14359 Sentence denotes METHODS
T107 14361-14373 Sentence denotes Participants
T108 14374-14486 Sentence denotes Participants were volunteers, recruited online between 30 March and 6 April 2020, using a snowballing technique.
T109 14487-14608 Sentence denotes The initial sample included 54,245 Internet users from 27 countries and areas who participated in the COVIDiSTRESS study.
T110 14609-14696 Sentence denotes However, based on the reliability analysis, we decided to exclude one country (Kosovo).
T111 14697-14818 Sentence denotes The final sample consisted of 53,524 participants from 26 countries and areas (see the Results section for more details).
T112 14819-14853 Sentence denotes Participation was not remunerated.
T113 14854-15145 Sentence denotes The numbers for each country with their respective individualism scores (based on the Hofstede index; Hofstede, 2001; Hofstede et al., 2010), along with detailed descriptions of all participants from each country are presented in the Supplementary Material, Table S1 (https://osf.io/cznr8/).
T114 15146-15244 Sentence denotes As stated in the pre‐registration, we only included countries and areas with N > 300 participants.
T115 15245-15381 Sentence denotes This sample consisted of 34,475 women (64.6%), 18,288 men (34.2%) and 645 people who responded with “other/would rather not say” (1.2%).
T116 15382-15460 Sentence denotes The age in the sample ranged between 18 and 110 years (M = 38.17, SD = 13.79).
T117 15461-16319 Sentence denotes The sample included 26,429 married or cohabiting participants (49.4%), 20,465 singles (38.2%), 3,626 divorced or widowed (6.8%), and 3,004 people who would rather not answer (5.6%); 629 individuals did not attain any education (1.2%), 709 completed 6 years of school (1.3%), 741 completed 9 years of school (1.4%), 5,133 completed 12 years of school (9.6%), 11,639 completed some college, short continuing education or equivalent (21.8%), 28,983 attained a college degree, bachelor, or masters (54.3%), and 5,497 obtained a PhD/doctorate (10.3%); 24,367 participants indicated that they are isolated (45.8%), 62—isolated in medical facility or similar location (0.1%), 25,867—life carries on with minor changes (48.7%), and 2,862—life carries on as usual (5.4%) (see Supplementary Material for participants’ detailed descriptives across countries and areas).
T118 16321-16343 Sentence denotes Measures and Procedure
T119 16344-16556 Sentence denotes Both the collaborating researchers of the COVIDiSTRESS project and the participants shared the invitation to participate in the study through various online channels (e.g. social media and private communication).
T120 16557-16606 Sentence denotes The questionnaire was administered via Qualtrics.
T121 16607-16811 Sentence denotes Information on all the components of the survey can be found in the COVIDiSTRESS Global Survey Research Network (2020), while in this paper, we report only the measures relevant to the analyses conducted.
T122 16812-16953 Sentence denotes The levels of perceived stress were measured with the widely used Perceived Stress Scale (PSS; Cohen et al., 1983; Cohen & Williamson, 1988).
T123 16954-17141 Sentence denotes It includes 10 items (four reverse‐scored) concerning various subjective feelings related to problems, behaviours, and ways of coping, on a 5‐point scale from 0 (never) to 4 (very often).
T124 17142-17275 Sentence denotes Cronbach’s alphas for each of the language versions of the scale are presented in the Supplementary Material (https://osf.io/cznr8/).
T125 17277-17297 Sentence denotes Statistical Analyses
T126 17298-17404 Sentence denotes A detailed description of the cleaning process of the database can be found in the Supplementary Material.
T127 17405-17754 Sentence denotes Furthermore, we transformed the continuous variables of interest that violated the normal distribution (i.e. the number of adults, dependants, children, and a measure of COVID‐19 severity), by square rooting them.1 As a robustness check, in a separate model, we have also included these variables in a raw form: the results remained almost the same.
T128 17755-17833 Sentence denotes We began our analyses by testing the cross‐cultural equivalence of the PSS‐10.
T129 17834-18375 Sentence denotes To this end, in a multi‐group factor analysis in R (R Core Team, 2014), using the following packages: lavaan (Rosseel, 2012), and semTools (Jorgensen et al., 2019), we compared the models assuming a two‐factor structure (positive and negative, with the latter consisting of reversed items; Roberti et al., 2006) across 26 countries and areas (configural invariance), with a model with factor loadings and latent correlations constrained to be equal (metric invariance), and items' intercepts to be the same in all groups (scalar invariance).
T130 18376-18722 Sentence denotes When evaluating the model fit, we relied on the usually applied criteria (Hu & Bentler, 1999), in which a comparative fit index (CFI) and Tucker Lewis Index (TLI) above .90 indicate adequate fit, whereas a root‐mean‐square error of approximation (RMSEA) below .08 and a standardised root‐mean‐square residual (SRMR) below .06 indicates no misfit.
T131 18723-18912 Sentence denotes When evaluating measurement equivalence, we compared the configural invariance model with the metric invariance model, and then the metric invariance model with the scalar invariance model.
T132 18913-19428 Sentence denotes As these models were characterised by a growing complexity (each subsequent model was nested within the previous one), while assessing models’ superiority we relied on the cut‐off criteria recommended for testing measurement invariance: a change of CFI (∆CFI) less than .01 (∆CFI < .01), a change of RMSEA of less than .015 (∆RMSEA < .015), and a change of SRMR less than .01 (∆SRMR < .01) would indicate that the two models compared do not differ in terms of model fit (Chen et al., 2008; Cheung & Rensvold, 2002).
T133 19429-19604 Sentence denotes After computing Cronbach’s alpha for the PSS‐10 for all the countries and areas separately and jointly, we tested multilevel regression models, using Jamovi (Version 1.2.16.).
T134 19605-19774 Sentence denotes In these models, participants were nested within countries, and the number of adults, children, marital status, education level, and gender were group‐mean‐standardised.
T135 19775-20239 Sentence denotes In the first model, we regressed a composite score of perceived stress levels on the number of adults and the number of children, as well as participants’ gender, age, marital status, education level, COVID‐19 severity (the number of confirmed cases at the time of data collection (World Health Organization, 2020a, 2020b), divided by the number of the country’s citizens (Worldometer, 2020; Level‐2 variable), and culture (i.e. collectivistic vs. individualistic:
T136 20240-20258 Sentence denotes Level‐2 variable).
T137 20259-20343 Sentence denotes The first model we created included a random intercept of stress on a country level.
T138 20344-20440 Sentence denotes The second model differed, as we additionally estimated random slopes of the number of children.
T139 20441-20579 Sentence denotes The third model tested for potential curvilinear links by adding two variables in a squared form (i.e. the number of adults and children).
T140 20580-20716 Sentence denotes The final, fourth model included random intercept for the stress level as well as all random slopes for age, gender, and marital status.
T141 20718-20725 Sentence denotes RESULTS
T142 20726-20857 Sentence denotes The PSS‐10 was found to be highly reliable (overall Cronbach’s alpha: .869), with the exception of Kosovo (Cronbach’s alpha: .688).
T143 20858-21106 Sentence denotes Confirmatory factor analysis indicated that the overall model fit the data well in the case of configural invariance (CFI = .996, TLI = .995, SRMR = .028, RMSEA = .028), but not metric invariance (CFI = .986, TLI = .985, SRMR = .044, RMSEA = .046).
T144 21107-21236 Sentence denotes Based on the poor reliability of Kosovo, we decided to exclude data from this country and re‐estimated the multi‐group CFA model.
T145 21237-21498 Sentence denotes After excluding data from Kosovo, the model slightly improved: configural (CFI = .996, TLI = .995, SRMR = .028, RMSEA = .028), metric (CFI = .987, TLI = .996, SRMR = .043, RMSEA = .044), and scalar invariance (CFI = .950, TLI = .955, SRMR = .073, RMSEA = .081).
T146 21499-21751 Sentence denotes However, as the scalar invariance was not reached (a change in fit model indices was above recommended criteria, i.e. ΔCFI and ΔSRMR> .01), in the next step, we tested for a partial scalar invariance (Byrne et al., 1989; Steenkamp & Baumgartner, 1998).
T147 21752-21881 Sentence denotes The final model fit the data well, and partial scalar invariance was reached (CFI = .983, TLI = .983, SRMR = .047, RMSEA = .050).
T148 21882-21998 Sentence denotes Table 1 depicts mean stress levels across countries, and Table 2 presents correlations across variables of interest.
T149 21999-22239 Sentence denotes The mean stress level in the present study in, for instance, the USA (M = 17.50) was significantly higher than the mean stress level (M = 13.19) indicated by the PSS‐10 norms (Cohen et al., 1994; 13.19), t(3896) = 19.45, p < .001, d = 0.63.
T150 22240-22307 Sentence denotes TABLE 1 Mean Levels of Perceived Stress Across Countries and Areas
T151 22308-22420 Sentence denotes Country Number of participants Mean stress level (SD) Country Number of participants Mean stress level (SD)
T152 22421-22480 Sentence denotes Argentina 2286 17.53 (7.38) Indonesia 938 18.00 (5.75)
T153 22481-22533 Sentence denotes Belgium 339 16.38 (7.27) Italy 525 16.04 (6.89)
T154 22534-22602 Sentence denotes Bosnia and Herzegovina 660 18.95 (6.73) Japan 3190 20.08 (5.74)
T155 22603-22662 Sentence denotes Bulgaria 2413 18.78 (7.10) Lithuania 4450 15.32 (6.88)
T156 22663-22716 Sentence denotes Canada 307 17.81 (6.66) Mexico 5781 17.33 (7.32)
T157 22717-22771 Sentence denotes Croatia 900 19.55 (6.75) Poland 2094 20.19 (7.28)
T158 22772-22834 Sentence denotes Czech Republic 461 17.54 (6.95) Portugal 425 18.81 (7.25)
T159 22835-22888 Sentence denotes Denmark 5200 14.22 (7.21) Spain 363 16.80 (7.19)
T160 22889-22948 Sentence denotes Finland 7464 14.85 (7.50) Switzerland 719 13.93 (6.66)
T161 22949-23002 Sentence denotes France 9395 15.71 (7.38) Taiwan 869 15.97 (6.85)
T162 23003-23056 Sentence denotes Germany 616 16.52 (6.87) Turkey 683 21.71 (6.67)
T163 23057-23117 Sentence denotes Greece 304 17.43 (6.41) United Kingdom 886 17.53 (7.50)
T164 23118-23179 Sentence denotes Hungary 745 17.60 (6.06) United States 1511 17.50 (7.36)
T165 23180-23184 Sentence denotes Note
T166 23185-23288 Sentence denotes Mean stress scores on 10 items on a 5‐point Likert scale, ranging from 0 – almost never, to 4 – always.
T167 23289-23436 Sentence denotes John Wiley & Sons, Ltd This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response.
T168 23437-23619 Sentence denotes It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.
T169 23620-23677 Sentence denotes TABLE 2 Correlation Matrix on Main Variables of Interest
T170 23678-23697 Sentence denotes 1 2 3 4 5 6 7
T171 23698-23700 Sentence denotes 1.
T172 23701-23720 Sentence denotes Perceived stress —
T173 23721-23723 Sentence denotes 2.
T174 23724-23741 Sentence denotes Gender .09*** —
T175 23742-23744 Sentence denotes 3.
T176 23745-23768 Sentence denotes Age −.24*** .04*** —
T177 23769-23771 Sentence denotes 4.
T178 23772-23811 Sentence denotes Adults a .06*** ‐.04*** ‐.14*** —
T179 23812-23814 Sentence denotes 5.
T180 23815-23862 Sentence denotes Children b .04*** .06*** ‐.03*** .14*** —
T181 23863-23865 Sentence denotes 6.
T182 23866-23916 Sentence denotes People c .07*** .00 ‐.13*** .90*** .56*** —
T183 23917-23919 Sentence denotes 7.
T184 23920-23984 Sentence denotes Dependents d −.02*** .06*** .20*** .08*** .53*** .31*** —
T185 23985-23987 Sentence denotes 8.
T186 23988-24054 Sentence denotes Education e −.04*** −.03*** ‐.01 ‐.01** .03*** .00 .03***
T187 24055-24060 Sentence denotes Note:
T188 24061-24565 Sentence denotes aAdults–the number of adults staying with the participants during the relative isolation. bChildren–the number of children staying with the participants during the relative isolation. cPeople–the number of people staying with the participants during the relative isolation. dDependants–the number of dependants staying with the participants during the relative isolation. eEducation–education status, with a higher number representing a higher completed education level. *p < .05; **p < .01; ***p < .001.
T189 24566-24713 Sentence denotes John Wiley & Sons, Ltd This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response.
T190 24714-24896 Sentence denotes It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.
T191 24897-25290 Sentence denotes Having established configural, metric, and partly scalar invariance, we proceeded with multilevel models to examine whether the number of people (adults and children) our participants were staying with during the pandemic was associated with their perceived stress level, controlling for gender, age, education level, marital status, scores on the individualism measure, and COVID‐19 severity.
T192 25291-25699 Sentence denotes Taking into consideration the four models we described in the Statistical Analyses section, based on the Bayesian Information Criterion, the fourth model (with random effects for both slopes and intercepts) showed a superior fit when compared to the others (i.e. ΔBIC > 10; Raftery, 1999; Δ between the first and the fourth model BIC = 432, the second and fourth ΔBIC = 431, the third and fourth ΔBIC = 450).
T193 25700-26009 Sentence denotes The model that included the squared number of adults and children surrounding the participants in their isolation had substantially worse fit than the second model (ΔBIC = −19); thus, we infer that there is a linear rather than a curvilinear relationship between the number of adults and children, and stress.
T194 26010-26749 Sentence denotes As illustrated in Table 3, younger people perceived higher levels of stress compared with older people (β = −0.076, SE = 0.016, p < .001); the number of children an individual was staying with was positively related to perceived stress levels (β = 0.021, SE = 0.003, p < .001); women were more stressed than men (β = 0.065, SE = 0.012, p < .001); married or cohabiting people were less stressed than singles (β = −0.132, SE = 0.048, p < .01); education was negatively related to stress levels (β = −0.022, SE = 0.003, p < .001), meaning that the higher the completed education, the less stressed a participant was, and participants from countries and areas with higher COVID‐19 severity were more stressed (β = 0.090, SE = 0.044, p < .05).
T195 26750-27000 Sentence denotes The countries’ and areas’ score on the individualism–collectivism continuum was not related to perceived stress (β = −0.087, SE = 0.045, p = .063), and similarly the number of adults the participant was staying with (β = 0.001, SE = 0.003, p = .806).
T196 27001-27179 Sentence denotes TABLE 3 Results of a Multilevel Model, with Participants Nested within Countries and Areas, and Random Effects for Both Intercepts and Slopes for Age, Gender, and Marital Status
T197 27180-27203 Sentence denotes Fixed effects β SE p
T198 27204-27233 Sentence denotes Culturea −0.087 0.045 .063
T199 27234-27260 Sentence denotes Age −0.076 0.016 <.001
T200 27261-27288 Sentence denotes Adultsb 0.000 0.003 .806
T201 27289-27320 Sentence denotes Childrenc 0.021 0.003 <.001
T202 27321-27365 Sentence denotes Gender (Men vs. Women) 0.065 0.012 <.001
T203 27366-27399 Sentence denotes Educationd −0.022 0.003 <.001
T204 27400-27439 Sentence denotes COVID‐19 severitye 0.090 0.044 .050
T205 27440-27498 Sentence denotes Marital status (Single vs. Married)f −0.132 0.048 .006
T206 27499-27530 Sentence denotes Random effects g SD LRT p
T207 27531-27557 Sentence denotes Age 0.077 816.83 <.001
T208 27558-27603 Sentence denotes Gender (Men vs. Women) 0.054 366.59 <.001
T209 27604-27663 Sentence denotes Marital status (Married vs. Single)f 0.238 368.13 <.001
T210 27664-27668 Sentence denotes Note
T211 27669-28074 Sentence denotes aCulture–Hofstede’s score of a country's individualism (i.e. the higher the number, the more individualistic the country). bAdults–the number of adults staying with the participants during the relative isolation. cChildren–the number of children staying with the participants during the relative isolation. dEducation–education status, with a higher number representing a higher completed education level:
T212 28075-28666 Sentence denotes 6–PhD/Doctorate; 5–College degree, bachelor, master; 4–Some College, short continuing education or equivalent; 3–Up to 12 years of school; 2–Up to 9 years of school; 1–Up to 6 years of school; 0–None. eCOVID‐19 severity–the number of confirmed cases divided by the number of countries’ citizens. fMarital status–single individuals are coded as 0, and married or cohabiting individuals as 1. gRandom effects–the likelihood ratio test for each random effect, representing variability of stress levels and the association between stress levels and other variables of interest between countries.
T213 28667-28710 Sentence denotes For the intercept: SD = 0.261, ICC = 0.130.
T214 28711-28742 Sentence denotes Significant results are bolded.
T215 28743-28890 Sentence denotes John Wiley & Sons, Ltd This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response.
T216 28891-29073 Sentence denotes It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.
T217 29075-29085 Sentence denotes DISCUSSION
T218 29086-29427 Sentence denotes The results of the present study, based on analyses of data from 53,524 respondents from 26 countries and areas, provide evidence that higher levels of stress are reported by women, single people, people of younger age, people staying with more children, the less educated, and from countries and areas with a more severe COVID‐19 situation.
T219 29428-29560 Sentence denotes The level of the country's individualism and the number of adults the individual was staying with were not related to stress levels.
T220 29561-29773 Sentence denotes What is worth highlighting is that the variable which was the most strongly associated with stress levels was marital status, while the standardised coefficients of other variables showed very small effect sizes.
T221 29774-29958 Sentence denotes Moreover, the analysis of random effects revealed that countries and areas differed in both stress levels and the association between stress levels and marital status, gender, and age.
T222 29959-30039 Sentence denotes Such differences and their underlying mechanisms warrant further investigations.
T223 30041-30044 Sentence denotes H1.
T224 30045-30137 Sentence denotes The Number of People Together—Do People Living Alone Experience the Highest Level of Stress?
T225 30138-30140 Sentence denotes No
T226 30141-30420 Sentence denotes Even though almost half of our sample was stuck at home (46.1%), while 20.2 per cent lived alone, and 77.5 per cent stayed with one or more adults, we found very little evidence for the association between the number of adults and perceived stress levels (beyond marital status).
T227 30421-30611 Sentence denotes The results of our study contradict previous findings, which suggested that either living alone or having too many people around can negatively affect one’s well‐being (Fuller et al., 1996).
T228 30612-30788 Sentence denotes It is possible that living alone may be a preference for many people in our sample, and that they are able to provide for themselves and to pay the rent for a single apartment.
T229 30789-30927 Sentence denotes Many of those who live alone still maintain high levels of connections with their non‐household relatives or friends (De Vaus & Qu, 2015).
T230 30928-31185 Sentence denotes Previous studies have shown that people use social media to connect with others (Kowal et al., 2020), and these valuable (and, most importantly, intentional) connections and interactions are not hindered by the current situation, as they can be kept online.
T231 31187-31190 Sentence denotes H2.
T232 31191-31266 Sentence denotes Marital Status—Do Single People Experience More Stress Than Married People?
T233 31267-31270 Sentence denotes Yes
T234 31271-31430 Sentence denotes The results of our study provided support to our hypothesis that married (or cohabiting) individuals experience lower levels of stress than single individuals.
T235 31431-31576 Sentence denotes These findings fall in line with previous studies highlighting the benefits of being in an intimate relationship (e.g. Braithwaite et al., 2010).
T236 31577-31727 Sentence denotes Dyadic coping can make up for the potential shortcomings of being in a relationship, and overall, provide more benefits than harm (Merz et al., 2014).
T237 31728-31863 Sentence denotes Such a protective role may be even more pronounced during difficult times, for instance during financial hardship (Helms et al., 2014).
T238 31864-32099 Sentence denotes Within the COVID‐19 context, our findings are in line with those of Odriozola‐González et al. (2020), who provided evidence that single (as compared with married) individuals score higher on measures of anxiety, depression, and stress.
T239 32100-32346 Sentence denotes On the other hand, our results differ from Wang et al. (2020) and Tian et al. (2020), who found no differences related to marital status on perceived stress, and higher levels of distress among single (vs. married) Chinese citizens, respectively.
T240 32347-32564 Sentence denotes However, the sample analysed by Wang et al. (2020) may have been underpowered to detect the effect of being in a relationship, as it had 1,210 participants, and tested numerous relationships between various variables.
T241 32565-32702 Sentence denotes Moreover, Tian et al. (2020) did not control for other relevant factors that could have accounted for the differences (e.g. age, gender).
T242 32703-32854 Sentence denotes Our study used a high‐powered sample from different countries and areas as well as multivariate analysis techniques to control for several confundings.
T243 32856-32859 Sentence denotes H3.
T244 32860-32916 Sentence denotes Children—Do People with Children Experience More Stress?
T245 32917-32920 Sentence denotes Yes
T246 32921-33093 Sentence denotes Our data confirm the hypothesis that individuals with children report increased stress levels during the COVID‐19 pandemic compared with people living alone or with adults.
T247 33094-33189 Sentence denotes Moreover, the levels of perceived stress increased with the growing number of children at home.
T248 33190-33363 Sentence denotes The presence of children during relative isolation or quarantine, probably due to increased home strain and need for childcare, might put demands on adults living with them.
T249 33364-33552 Sentence denotes In addition, concerns over a child being sick with COVID‐19 have been previously shown to be associated with greater severity of stress and anxiety symptoms in parents (Wang et al., 2020).
T250 33553-33647 Sentence denotes Having children has also been associated with decreased financial satisfaction (Stanca, 2012).
T251 33648-33815 Sentence denotes Future studies should examine whether the ages or gender of children living at home moderate the relationship between the number of children and adults’ stress levels.
T252 33817-33820 Sentence denotes H4.
T253 33821-33884 Sentence denotes Age—Do Younger People Experience More Stress than Older People?
T254 33885-33888 Sentence denotes Yes
T255 33889-34183 Sentence denotes The results of our study provided evidence for a negative linear relationship between age and stress levels—younger people experience more stress than older people—contrasting with the existing literature suggesting an inverted U‐shaped relationship between age and stress (Stone et al., 2010).
T256 34184-34378 Sentence denotes The findings of the present study are in contrast with a recent study of the COVID‐19 outbreak, which showed no association between age and stress levels in a Chinese sample (Wang et al., 2020).
T257 34379-34557 Sentence denotes Rather, our results support the findings of Limcaoco (2020), who, in a sample of people in quarantine across 41 countries, found age to be significantly related to stress levels.
T258 34558-34721 Sentence denotes Our evidence warns that we cannot neglect the mental health condition of the younger generations as they seem to be the most stressed during the COVID‐19 outbreak.
T259 34723-34726 Sentence denotes H5.
T260 34727-34798 Sentence denotes Culture—Do People from Individualistic Cultures Experience More Stress?
T261 34799-34801 Sentence denotes No
T262 34802-35053 Sentence denotes In contrast to our hypothesis that people from individualistic cultures might experience more stress than those from collectivistic cultures, we observed no differences in perceived stress levels between countries with varying levels of individualism.
T263 35054-35151 Sentence denotes Collectivism demands that people feel the obligation and responsibility towards in‐group members.
T264 35152-35639 Sentence denotes Therefore, due to living in traditional families (Persike & Seiffge‐Krenke, 2012) and feeling more guilt and remorse for seeking help (Kim et al., 2008), people from collectivistic cultures may feel more stressed over their financial burdens than people from individualistic cultures, whereas people from individualistic cultures may treat the current situation as a threat to their need for self‐expression and freedom (Kim & Sherman, 2007) which translates into equal levels of stress.
T265 35641-35644 Sentence denotes H6.
T266 35645-35693 Sentence denotes Gender—Do Women Experience More Stress than Men?
T267 35694-35697 Sentence denotes Yes
T268 35698-35808 Sentence denotes Our data provide evidence that women experience significantly higher stress levels than men during quarantine.
T269 35809-36141 Sentence denotes These findings support the existing literature on the relationship between gender and stress levels (e.g. Bergdahl & Bergdahl, 2002; Stone et al., 2010), but are contradictory to recent studies on the COVID‐19 outbreak, which found gender to be unrelated to stress levels (Li et al., 2020; Limcaoco et al., 2020; Wang et al., 2020).
T270 36142-36376 Sentence denotes However, conclusions from these studies ought to be drawn with caution, as they either focused exclusively on samples within one country (e.g. Wang et al., 2020) or included a small number of participants (e.g. Limcaoco et al., 2020).
T271 36377-36653 Sentence denotes Women are found to be more family‐oriented and provide a supportive role (Tigani et al., 2011); however, during this highly unprecedented time of quarantine, they are overwhelmed by the need to support their families, and such a commitment is beyond their coping capabilities.
T272 36654-36841 Sentence denotes Moreover, during the relative isolation, it is women who are more likely to not only take care of their work responsibilities, but also take care of the children and home (Minello, 2020).
T273 36843-36854 Sentence denotes Limitations
T274 36855-37052 Sentence denotes Although the present study contributes to a better understanding of the relationship between the presence of others and perceived stress during the COVID‐19 pandemic, it is not without limitations.
T275 37053-37362 Sentence denotes First, in order to reach out to participants that are currently under lockdown, it was necessary to use self‐reports and to make use of the individuals’ internet access, although it might limit our findings to a population that is wealthier and has a higher educational background than the general population.
T276 37363-37511 Sentence denotes Moreover, perceived stress level was tested using only a single self‐reported measure (10‐item Perceived Stress Scale), which warrants some caution.
T277 37512-37649 Sentence denotes Future studies should also include other measures of stress to expand our knowledge of various aspects of well‐being during the pandemic.
T278 37650-37805 Sentence denotes Second, it would not have been possible to use an experimental design, so all our findings are correlative, and we cannot put forward causal relationships.
T279 37806-37974 Sentence denotes Shortly before the lockdown, people might have chosen to move away from their families because they work in health care and did not want to infect their family members.
T280 37975-38134 Sentence denotes People that lived on their own before the pandemic might have agreed to isolate with others to combat their loneliness or to help with care work in the family.
T281 38135-38208 Sentence denotes Those examples are likely rare and might only mildly affect our findings.
T282 38209-38371 Sentence denotes Even though we were not able to control for confounding variables, some pre‐existing factors, such as age and gender, may at least indicate a direction of effect.
T283 38372-38434 Sentence denotes Third, longitudinal effects of the pandemic were not measured.
T284 38435-38577 Sentence denotes We present the data of the first week when the COVIDiSTRESS Global Survey went online, and participants were only allowed to participate once.
T285 38578-38699 Sentence denotes It would be beneficial for future studies to measure the long‐term effects and the development of stress within a sample.
T286 38700-38803 Sentence denotes Fourth, the pandemic had been spreading in countries and areas at various rates during data collection.
T287 38804-38977 Sentence denotes Therefore, people from different countries and different regions within a country possibly were under different levels of threat as well as different time spans of exposure.
T288 38978-39144 Sentence denotes It is important for future studies to further investigate whether there are dose–response relationships between stress and the level of threat in the given countries.
T289 39146-39157 Sentence denotes CONCLUSIONS
T290 39158-39315 Sentence denotes The present study contributes to a better understanding of the relationship between the presence of others and perceived stress during the COVID‐19 lockdown.
T291 39316-39398 Sentence denotes Moreover, our results add to the limited literature on people during the pandemic.
T292 39399-39735 Sentence denotes These insights highlight the need to focus on neglected groups (i.e. women, younger, single people, with children, and with lower education status) both in research and in public health interventions, as they may be especially susceptible to experiencing elevated levels of stress, with their psychological well‐being being compromised.
T293 39737-39757 Sentence denotes Conflict of interest
T294 39758-39802 Sentence denotes The authors declare no conflict of interest.
T295 39804-39826 Sentence denotes Supporting information
T296 39827-39836 Sentence denotes Table S1.
T297 39837-40045 Sentence denotes Descriptive statistics of gender, marital status, age, the number of adults and children under 12 individuals were staying with during the data collection, and country’s score on Hofstede individualism scale.
T298 40046-40055 Sentence denotes Table S2.
T299 40056-40152 Sentence denotes Means, standard deviations and Cronbach’s alphas of the Perceived Stress Scale across countries.
T300 40153-40162 Sentence denotes Table S3.
T301 40163-40363 Sentence denotes Results of a Multilevel Model, With Participants Nested Within Countries, and Random Effects for Both Intercepts and Slopes for age, gender, isolation, and marital status with variables in a raw form.
T302 40364-40373 Sentence denotes Table S4.
T303 40374-40474 Sentence denotes Responses on the question: ‘What best describes your current situation?’, with respect to countries.
T304 40475-40484 Sentence denotes Table S5.
T305 40485-40642 Sentence denotes The number of citizens across countries and the number of confirmed cases across days of data collection (with an early launch in Denmark – March 28 and 29).
T306 40643-40652 Sentence denotes Table S6.
T307 40653-40771 Sentence denotes The number of participants with the given education level (the highest completed education) with respect to countries.
T308 40772-40782 Sentence denotes Figure S1.
T309 40783-40973 Sentence denotes Three scatter plots, depicting relationships between perceived stress and the number of people (A), children (B), and adults (C) an individual was staying with during the relative isolation.
T310 40974-41010 Sentence denotes Click here for additional data file.