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Table 1 Studies on the prevalence of obesity in Europe over the past fifteen years sorted by country

From: Obesity prevalence from a European perspective: a systematic review

       Prevalence of Obesity
Reference Study design Data collection Year of survey Population Sample size and age range Men Women
[17] # CSS dm/q 2001 Albania reg. n = 1,120 age 25 or older 22.0 30.9
[43] # CSS dm/q 1999 Austria reg. n = 841 age 25 – 64 9.7 13.7
[44] # MONICA CSS dm/q 1990–1992 Belgium reg. n = 912 age 25 – 64 14.7 17.5
[10] # - - 1994 Bulgaria n = 1,996 age 25–74 15.3 20.9
[18] # NHANES CSS dm/q 1978–1987 Croatia reg. n = 4,507 age 18 – 74 10.0 13.6
[45] CSS dm - Czech Republic reg. n = 933 age 19 – 60 17.0 18.9
[15] MONICA CSS dm/q 1992 Czech Republic nat. n = 2,353 age 25 – 64 18.6 28.2
[19] HAPIEE # CSS dm/q 2002–2005 Czech Republic nat. n = 7,081 age 45 – 69 30.0 32.0
[10] # - - 1999–2000 Cyprus n = 1,019 age 25 – 64 26.6 23.7
[46] MONICA CSS dm 1992 Denmark reg. n = 1,624 age 30 – 60 13.0 11.0
[47] PCS dm/q 1993 Denmark reg. n = 47,589 age 50 – 64 14.0 13.0
[48] # CSS+ PCS dm/q 1991–1994 Denmark reg. n = 30,482 age 20 – 84 12.3 11.2
[32] # CSS dm/q 1997 Estonia nat. n = 1,154 age 19 – 64 9.9 17.4
[49] CSS q 1998 Estonia nat. n = 2,000 age 20 – 64 10.0 15.0
[50] CSS dm/q 1997 Finland nat. n = 37,940 age 25 – 64 14.0 19.9
[49] CSS q 1998 Finland nat. n = 5,000 age 20 – 64 11.0 10.0
[51] # PCS dm/q 1992 Finland nat. n = 17,441 age 25 – 64 14.2 14.9
[52] # CSS q 2003 France nat. n = 25,770 age 15 or older 11.3* 11.3*
[53] CSS q 1994–1996 France reg. n = 1,169 age 30 – 77 4.0 6.2
[54] CSS q 1991 France nat. n = 15,106 age 20 – 99 6.5 7.8
[55] German National Health Survey 1998 # CSS dm/q 1998 Germany nat. n = 7124 age 18 – 79 18.8 21.7
[56] MONICA CSS dm/q 1994–1995 Germany reg. n = 4,792, 25 – 74 19.3 21.5
[57], [58], [59], [60] ATTICA # CSS dm/int 2001–2002 Greece reg. n = 3,042 age 20 – 89 20.0 15.0
[10] # - - 1992–1994 Hungary n = 2,559 age 18 or older 21.0 21.2
[16] # CSS dm/q 1985 Iceland nat. n = 1,361 age 35 – 64 11.0 11.0
[61], [62] # CSS dm/q 1997–1999 Ireland nat. n = 1,379 age 18 – 64 20.0 16.0
[63] CSS dm/q 1990–1991 Ireland reg. n = 784 age 35 – 64 14.2 22.6
[3] InCHIANTI CSS dm 1998–2000 Italy reg. n = 1,453 age 20 or older 22.0 27.7
[11] CINDI CSS dm 1998–1999 Italy reg. n = 1,200 age 25 – 74 25.2 32.3
[64] CSS dm 1998 Italy reg. n = 856 age 35 – 64 14.6* 14.6*
[32] # CSS dm/q 1997 Latvia nat. N = 2,292 age 19 – 64 9.5 18.3
[32] # CSS dm/q 1997 Lithuania nat. N = 2,096 age 19 – 64 11.4 6.0
[49] CSS q 1998 Lithuania nat. n = 3,000 age 20 – 64 10.0 18.0
[10] # - - - Luxembourg n = 5,206 age 16 or older 15.3 13.9
[65], [66] MORGEN # CSS dm/q 1993–1997 Netherlands reg. n = 17,824 age 20 – 59 8.6 9.5
[67] TROMSO # CSS dm/q 2001 Norway reg. n = 7,954 age 29 – 75 18.2 20.8
[14] MONICA CSS/PCS dm/q 1992–1993 Poland reg. n = 1,040 age 35 – 64 22.3 36.5
[19] HAPIEE # CSS dm/q 2002–2005 Poland nat. N = 9,170 age 45 – 69 27.0 34.0
[13] # CSS dm/q - Portugal reg. n = 1,436 age 18 – 90 13.9 26.1
[16] # CSS dm/q 1985 Romania reg. n = 1,156 age 35 – 64 20.0 31.0
[68] # CSS q 2001 Slovenia nat. n = 9,043 age 25 – 64 16.5 13.8
[12] EPIC # PCS dm/q 1992–1996 Spain nat. n = 37,663 age 29 – 69 28.3 30.0
[69] CSS dm/interview 1998 Spain reg. n = 1,226 age 18 – 65 25.5 30.7
[70], [71], SEEDO CSS dm/q 1990–2000 Spain reg. n = 9,885 age 25 – 60 13.4 15.8
[72] CSS dm/q 1999–2000 Spain reg. n = 3,179 age 25 – 74 25.6 26.3
[73] CSS dm/q 1998–2000 Spain reg. n = 3,421 age 25 – 60 16.9 20.9
[74] CSS dm 1989 Spain reg. n = 704 age 15 and older 12.0 12.0
[75] INTERGENE CSS dm/q 2002 Sweden reg. n = numbers not given, age 25 – 64 15.0 11.0
[76] MONICA # CSS dm/q 1999 Sweden reg. n = 6,914 age 25 – 74 14.6 15.7
[77] MONICA CSS dm/q 1992–1993 Switzerland reg. n = 3,299 age 25 – 74 15.5 9.8
[78] # CSS dm/q 2003 Switzerland reg. n = 12,271 age 35 – 74 15.0 11.0
[79] # CSS dm/q 2003 UK nat. n = 14,836 age 16 or older 22.2 23.0
  1. CSS = cross sectional survey; PCS = prospective cohort study; dm = direct measurements; q = questionnaire; int = interview, reg. = regional representative data, nat. = national representative data, * no gender strata given, # data used for figure.)