Table 1.
Baseline demographic and lifestyle characteristics
| Cohort (n=4 212 930) | |
|---|---|
| Age, years | |
| 40–44 | 1 920 369 (45·6%) |
| 45–49 | 782 897 (18·6%) |
| 50–54 | 612 202 (14·5%) |
| 55–59 | 490 619 (11·6%) |
| 60–64 | 406 843 (9·7%) |
| Sex | |
| Male | 2 226 561/4 212 898 (52·9%) |
| Female | 1 986 337/4 212 898 (47·1%) |
| Race or ethnicity | |
| White | 3 242 107/3 702 718 (87·6%) |
| South Asian | 194 931/3 702 718 (5·3%) |
| Black | 154 270/3 702 718 (4·2%) |
| Mixed or other | 111 410/3 702 718 (3·0%) |
| Townsend quintile | |
| 1 (least deprived) | 1 004 670/4 207 605 (23·9%) |
| 2 | 905 691/4 207 605 (21·5%) |
| 3 | 825 679/4 207 605 (19·6%) |
| 4 | 739 187/4 207 605 (17·6%) |
| 5 (most deprived) | 732 378/4 207 605 (17·4%) |
| BMI category*† | |
| Underweight | 51 002/3 447 604 (1·5%) |
| Normal weight | 1 449 683/3 447 604 (42·0%) |
| Overweight | 1 274 701/3 447 604 (37·0%) |
| Obese | 672 218/3 447 604 (19·5%) |
| Smoking status* | |
| Non-smoker | 1 686 919/4 082 791 (41·3%) |
| Current smoker | 1 076 707/4 082 791 (26·4%) |
| Former smoker | 1 319 165/4 082 791 (32·3%) |
| Alcohol consumption* | |
| No known heavy drinking | 3 477 336/3 674 494 (94·6%) |
| Heavy drinking‡ | 197 158/3 674 494 (5·4%) |
Data are n (%) or n/N (%). BMI=body-mass index.
*
Closest measure before the start of follow-up.
†
Underweight was defined as a BMI of <18·5 kg/m2, normal weight as a BMI of 18·5–24·9 kg/m2, overweight as a BMI of 25·0–29·9 kg/m2, and obese as a BMI of 30·0–39·9 kg/m2.
‡
Defined as either a recorded intake of more than 42 units per week or a diagnostic code suggestive of alcohol addiction or excessive alcohol consumption.