Table 1.
Variables Comparison between Seattle and Paris Datasets
| Seattle | Paris | |
|---|---|---|
| Variable Name | Age (years) | Age (years) |
| Measurements | <45 | <45 |
| 45 – <65 | 45 – <65 | |
| >=65 | >=65 | |
| Variable Name | Gender | Gender |
| Measurements | Male | Male |
| Female | Female | |
| Variable Name | Living alone | Living alone |
| Measurements | Yes | Yes |
| No | No | |
| Variable Name | Annual household income | Rvuc (Revenu du ménage par unité de consummation: Household income per unit of consummation per euro per month) |
| Measurements | Tertile 1 (<50,000) | Tertile 1 (<1,200) |
| Tertile 2 (≥ 50,000 – < 100,000) | Tertile 2 (≥ 1,200 – < 2,200) | |
| Tertile 3 (≥ 100,000) | Tertile 3 (≥ 2,200) | |
| Variable Name | Highest Education completed | Nivetude_cgi (Niveau d’instruction individuel: Education level) |
| Measurements | High school or less |
1 : ne sait pas lire ou écrire le français et sans diplôme; (No education) 2 :CAP, BEPC ou brevet des colleges (Primary school and lower secondary school) |
| Some college | 3 : BAC, BTS ou BAC+2 (Higher secondary school and lower tertiary school) | |
| College graduates or higher | 4 : supérieur à BAC+2 (Higher tertiary school) | |
| Variable Name | Store type by price | Type de supermarché : |
| Measurements | Low cost | hard_discount=1 |
| Medium cost | hypermarche = 1 OR gd_supermarche = 1 OR pt_supermarche = 1 | |
| High cost | citymarche = 1 OR magasins_bio = 1 | |
| Variable Name | BMI | BMI |
| Measurements | Obese (BMI >=30 kg/m2) | Obese (BMI >=30 kg/m2) |
| Non obese (BMI < 30kg/m2) | Non obese (BMI < 30kg/m2) | |
| Variable Name | Perceived health status | Santé_percue |
| Measurements | Fair/ poor | Fair/ poor: Scale 0–7 (47%) |
| Good/ very good/ excellent | Good/ very good/ excellent: Scale 8–10 (53%) | |
| Variable Name | Neighborhood assessed property value (property value within the 833m circular buffer, measured in $). | Housingrank_500m (Neighborhood property value within the 500m circular buffer, measured on a 1–1000 scale). |
| Measurements | 70,381 – 193,106 | 1–301 |
| 193,107 – 248,011 | 302–420 | |
| 248,012 – 334,445 | 421–536 | |
| 334,446 – 1,086,587 | 537–1000 | |
| Variable Name | Distance from home to primary supermarket | Distance_netw_surf (distance entre le supermarché et le lieu de résidence du participant par le réseau de rues: network distance between the supermarket and place of residence of the participant) |
| Measurements | Km | Km |
| Variable Name | Within the City of Seattle Boundary | Within the City of Paris Boundary |
| Measurements | Yes or No | Yes or No |