Table 1.
Participant’s characteristics (n = 1183)
| Characteristic | Raw data | Weighted data |
|---|---|---|
| Age (years)—Med (IQR) | 50 [38–62] | 56 [43–67] |
| Female sex—n (%) | 861 (73) | 641 (54) |
| Educational level—n (%) | ||
| Lower education | 62 (5·2) | 115 (9·7) |
| Middle school or equivalent | 135 (11·4) | 667 (56·4) |
| High school or equivalent | 184 (15·6) | 163 (13·8) |
| Associate degree | 266 (22·5) | 104 (8·8) |
| Undergraduate or graduate degree | 536 (45·3) | 134 (11·3) |
| Number of chronic conditions—Med (IQR) | 2 [1–3] | 2 [1–3] |
| Multimorbidity—n (%) | 649 (55) | 703 (59) |
| Conditions—n (%) | ||
| Asthma | 77 (6) | 72 (6) |
| Chronic obstructive pulmonary disease | 23 (1) | 35 (3) |
| Other respiratory diseases | 111 (9) | 118 (10) |
| Diabetes | 121 (10) | 192 (16) |
| Thyroid disorders | 128 (11) | 128 (11) |
| High blood pressure | 137 (12) | 190 (16) |
| Dyslipidemia | 54 (5) | 88 (7) |
| Other cardiac or vascular diseases | 111 (9) | 143 (12) |
| Chronic kidney diseases | 79 (7) | 101 (8) |
| Rheumatologic conditions | 367 (31) | 373 (31) |
| Systemic conditions | 113 (10) | 80 (7) |
| Digestive conditions | 169 (14) | 132 (11) |
| Neurological conditions | 234 (20) | 252 (21) |
| Cancer (including blood cancer) | 107 (9) | 108 (9) |
| Depression | 77 (6) | 76 (6) |
| Time since first chronic condition diagnosis (years)—Med (IQR) | 14 [6–26] | 16 [7–29] |
| Previous use of e-health or m-health tools—n (%) | 590 (50) | 604 (51) |
| Type of e-health/m-health tools previously used—n (%) | ||
| Health smartphone apps | 246 (21) | 273 (24) |
| Wearable devices for wellness | 61 (5) | 58 (5) |
| Wearable devices prescribed by doctors | 50 (4) | 49 (4) |
| Health internet services | 190 (16) | 188 (16) |
Weighted data were obtained after calibration on margins for sex-specific age categories and educational level with data from a national census describing the French population self-reporting at least one chronic condition
IQR interquartile range