Health determiners. Absolute figures Main reasons of ex-smokers to quit smoking by sex and age group. Population aged 15 years old and over that currently does not smoke but did smoke before Units: thousands of persons Total Medical advise Discomfort caused by tobacco Health risk Pregnancy Decrease of physical and/or psychological performance Other reasons No data recorded BOTH SEXES Total 7,572.2 1,041.9 1,972.7 2,692.0 394.6 937.8 1,750.9 76.9 15 to 24 years old 164.4 12.8 21.3 53.3 16.2 30.8 47.0 2.6 25 to 34 years old 895.2 50.1 183.6 319.0 100.2 119.0 250.9 11.6 35 to 44 years old 1,381.1 49.3 326.9 467.6 157.7 173.2 387.4 5.4 45 to 54 years old 1,761.0 186.7 416.3 653.6 82.5 229.1 439.7 16.2 55 to 64 years old 1,444.6 242.4 421.3 546.8 19.2 178.2 304.0 14.6 65 to 74 years old 1,090.0 269.0 334.7 365.2 19.0 124.5 208.9 9.2 75 years old and over 835.9 231.5 268.4 286.5 0.0 82.9 113.0 17.3 MALES Total 5,050.8 850.1 1,451.9 1,831.6 . 669.3 1,123.5 68.7 15 to 24 years old 72.4 . . . . . . . 25 to 34 years old 453.9 26.9 122.7 165.0 . 62.4 146.9 11.6 35 to 44 years old 776.0 30.9 202.8 280.6 . 125.0 237.6 5.4 45 to 54 years old 1,045.4 135.2 254.4 411.5 . 148.4 258.3 12.7 55 to 64 years old 1,006.9 184.8 317.5 387.8 . 125.9 190.9 10.9 65 to 74 years old 920.0 241.0 295.4 300.9 . 111.1 172.6 8.7 75 years old and over 776.2 222.3 249.1 267.1 . 78.9 97.3 16.8 FEMALES Total 2,521.4 191.8 520.8 860.4 389.0 268.5 627.4 8.2 15 to 24 years old 92.0 3.6 11.4 34.7 16.2 13.1 27.1 0.0 25 to 34 years old 441.3 23.3 60.9 153.9 99.4 56.7 103.9 0.0 35 to 44 years old 605.1 18.5 124.1 187.0 154.7 48.2 149.8 0.0 45 to 54 years old 715.7 51.6 161.9 242.1 80.7 80.7 181.4 3.5 55 to 64 years old 437.6 57.6 103.9 159.0 19.2 52.3 113.2 3.8 65 to 74 years old 170.1 28.0 39.3 64.3 19.0 13.4 36.3 0.5 75 years old and over 59.7 9.3 19.3 19.4 0.0 4.1 15.7 0.5 Notes: .Data protected by statistical secrecy 1) The same person may be in several categories of reasons for quitting smoking. The symbol '.' shall be deemed as data which cannot be given due to an insufficient sample. The data corresponding to cells with fewer than 35 thousand persons must be considered with caution, as they may be affected by a high degree of sampling error. Source: Ministry of Public Health, Social Services and Equality and INE