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

Note.
N = number of participants
Prop_nonmis = proportion of participants that responded to Asian Disease Problem.
Prop_gain = proportion of participants assigned to the gain condition among those responded to Asian Disease Problem.
Prop_program_A = proportion of participants who selected Program A among those assigned to the gain condition.
Prop_program_B = proportion of participants who selected Program B among those assigned to the gain condition.
Prop_loss = proportion of participants assigned to the loss condition among those responded to Asian Disease Problem.
Prop_program_C = proportion of participants who selected Program C among those assigned to the loss condition.
Prop_program_C = proportion of participants who selected Program D among those assigned to the loss condition.

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

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