Table 8 Descriptive statistics for the Asian Disease Problem across countries with more than 200 participants.

From: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Country N Prop_nonmis Prop_gain Prop_program_A Prop_program_B Prop_loss Prop_program_C Prop_program_D
Argentina 5923 0.847 0.502 0.595 0.405 0.498 0.361 0.639
Australia 327 0.905 0.514 0.684 0.316 0.486 0.271 0.729
Austria 319 0.893 0.488 0.640 0.360 0.512 0.288 0.712
Bangladesh 421 0.805 0.507 0.616 0.384 0.493 0.269 0.731
Belgium 622 0.931 0.504 0.671 0.329 0.496 0.443 0.557
Bosnia and Herzegovina 1288 0.866 0.513 0.591 0.409 0.487 0.353 0.647
Brazil 731 0.923 0.508 0.624 0.376 0.492 0.319 .681
Bulgaria 4785 0.871 0.506 0.614 0.386 0.494 0.308 0.692
Canada 470 0.915 0.505 0.664 0.336 0.495 0.366 0.634
Croatia 2965 0.898 .497 0.623 0.377 0.503 0.330 0.670
Czech Republic 1995 0.904 0.492 0.538 0.462 0.508 0.353 0.647
Denmark 10891 0.909 0.501 0.680 0.320 0.499 0.372 0.628
Finland 22933 0.926 0.502 0.742 0.258 0.498 0.407 0.593
France 13475 0.932 0.508 0.710 0.290 0.492 0.438 0.562
Germany 1443 0.920 0.507 0.618 0.382 0.493 0.318 0.682
Greece 642 0.891 0.516 0.664 0.336 0.484 0.361 0.639
Hungary 1438 0.889 0.495 0.645 0.355 0.505 0.342 0.658
Indonesia 1569 0.887 0.504 0.513 0.487 0.496 0.333 0.667
Ireland 216 0.870 0.457 0.663 0.337 0.543 0.333 0.667
Italy 1749 0.842 0.505 0.586 0.414 0.495 0.291 0.709
Japan 5072 0.954 0.507 0.751 0.249 0.493 0.338 0.662
Korea, South 487 0.924 0.511 0.665 0.335 0.489 0.345 0.655
Kosovo 2707 0.803 0.497 0.633 0.367 0.503 0.361 0.639
Lithuania 8255 0.937 0.502 0.626 0.374 0.498 0.302 0.698
Malaysia 567 0.903 0.494 0.557 0.443 0.506 0.382 0.618
Mexico 9169 0.909 0.509 0.593 0.407 0.491 0.371 0.629
Netherlands 1433 0.909 0.474 0.661 0.339 0.526 0.428 0.572
Pakistan 360 0.836 0.505 0.592 0.408 0.495 0.362 0.638
Panama 759 0.810 0.504 0.616 0.384 0.496 0.407 0.593
Philippines 570 0.912 0.508 0.591 0.409 0.492 0.238 0.762
Poland 3088 0.935 0.500 0.600 0.0.400 0.500 0.236 0.764
Portugal 1067 0.906 0.499 0.671 0.329 0.501 0.287 0.713
Romania 282 0.840 0.519 0.569 0.431 0.481 0.298 0.702
Serbia 266 0.865 0.535 0.553 0.447 0.465 0.355 0.645
Slovakia 942 0.904 0.491 0.639 0.361 0.509 0.348 0.652
Spain 615 0.909 0.508 0.673 0.327 0.492 0.349 0.651
Sweden 3055 0.882 0.509 0.693 0.307 0.491 0.393 0.607
Switzerland 1188 0.912 0.505 0.676 0.0.324 0.495 0.437 0.563
Taiwan 2745 0.961 0.487 0.501 0.499 0.513 0.320 0.680
Turkey 1199 0.921 0.493 0.577 0.423 0.507 0.239 0.761
United Kingdom 1500 0.915 0.524 0.690 0.310 0.476 0.371 0.629
United States 2314 0.922 0.488 0.701 0.299 0.512 0.375 0.625
  1. Note.
  2. N = number of participants
  3. Prop_nonmis = proportion of participants that responded to Asian Disease Problem.
  4. Prop_gain = proportion of participants assigned to the gain condition among those responded to Asian Disease Problem.
  5. Prop_program_A = proportion of participants who selected Program A among those assigned to the gain condition.
  6. Prop_program_B = proportion of participants who selected Program B among those assigned to the gain condition.
  7. Prop_loss = proportion of participants assigned to the loss condition among those responded to Asian Disease Problem.
  8. Prop_program_C = proportion of participants who selected Program C among those assigned to the loss condition.
  9. Prop_program_C = proportion of participants who selected Program D among those assigned to the loss condition.