European Health Survey PRÁCTICAS PREVENTIVAS Tiempo transcurrido desde la última medición de nivel de azucar en sangre según sexo y grupo de edad. Población de 15 y más años. Units: percentage TOTAL In the last 12 months 1 year or more but less than 5 years ago 5 years ago or more She/He has never had a measuring of blood sugar levels. Both sexes TOTAL 100.00 70.30 19.58 1.50 8.62 From 15 to 24 years old 100.00 39.52 26.58 2.87 31.03 From 25 to 34 years old 100.00 61.25 25.17 1.12 12.46 From 35 to 44 years old 100.00 67.69 23.07 2.03 7.21 From 45 to 54 years old 100.00 70.91 22.15 1.33 5.61 From 55 to 64 years old 100.00 77.99 17.45 1.28 3.27 From 65 to 74 years old 100.00 86.11 10.29 1.01 2.60 From 75 to 84 years old 100.00 90.22 7.31 0.78 1.69 Aged 85 years old and over 100.00 87.90 9.73 0.69 1.68 Men TOTAL 100.00 68.72 19.67 1.75 9.87 From 15 to 24 years old 100.00 36.58 26.70 3.75 32.96 From 25 to 34 years old 100.00 59.53 24.37 1.51 14.59 From 35 to 44 years old 100.00 65.27 23.75 2.03 8.95 From 45 to 54 years old 100.00 70.03 21.91 1.69 6.37 From 55 to 64 years old 100.00 78.72 17.26 1.08 2.94 From 65 to 74 years old 100.00 86.31 10.14 0.97 2.58 From 75 to 84 years old 100.00 90.70 6.00 1.20 2.10 Aged 85 years old and over 100.00 89.81 7.21 0.72 2.26 Women TOTAL 100.00 71.80 19.50 1.27 7.44 From 15 to 24 years old 100.00 42.58 26.46 1.95 29.01 From 25 to 34 years old 100.00 62.97 25.98 0.72 10.33 From 35 to 44 years old 100.00 70.10 22.39 2.03 5.48 From 45 to 54 years old 100.00 71.78 22.39 0.97 4.85 From 55 to 64 years old 100.00 77.29 17.64 1.48 3.59 From 65 to 74 years old 100.00 85.93 10.42 1.04 2.61 From 75 to 84 years old 100.00 89.81 8.42 0.42 1.34 Aged 85 years old and over 100.00 86.87 11.08 0.68 1.37 Notes: 1) The symbol '.' shall be deemed as datum which cannot be given due to an insufficient sample The symbol '..' shall be deemed as datum which is not collected for this classification in the table The data corresponding to cells with less than 35 thousand persons must be considered with caution, as they may be affected by a high degree of sampling error Source: National Statistics Institute