Table 2.
Additional data | Proportion of participants who deemed this information essential (%; n=16) | When not deemed essential a | |
---|---|---|---|
Scientific priority (median; 1=low; 5=high) | Feasibility of harmonization (median; 1=low; 5=high) | ||
Basic socio-demographic data such as age, sex, race/ethnicity, country, and socio-economic status (i.e. income, education, employment status) | 94% | / | / |
Anthropometric data (i.e. weight, height, waist circumference) | 88% | 4 (n=1) | 4 (n=1) |
Health status data (i.e. diabetes, cardiovascular disease, cancer) | 75% | 4 (n=1) | 4 (n=1) |
Occupational classification data (i.e. type of occupation) | 63% | 3.5 (n=2) | 4 (n=1) |
Death registry information/cause of death data | 50% | 3.5 (n=2) | 2 (n=2) |
Cardio-metabolic biomarker data (i.e. blood biomarkers, blood pressure) | 44% | 4 (n=5) | 3.5 (n=4) |
Data on function (i.e. physical, cognitive, fitness) | 31% | 4 (n=4) | 2.5 (n=4) |
Built environment / Geographic Information Systems (GIS) data | 19% | 4 (n=7) | 2 (n=7) |
Biological tissue sample data (other than blood samples) | 6% | 3 (n=8) | 2 (n=7) |
Questions on scientific priority and feasibility of harmonization were only asked if the information was deemed non-essential. These latter two questions were not compulsory: the lower n’s for some responses indicate the degree of missing data.