Die Adipositas stellt einen Risikofaktor für das Auftreten einer Reihe von chronischen Erkrankungen dar. Das Risiko für Diabetes, Hypertonie und Dyslipidämie steigt schon ab einem BMI von 21 kg/m2 an. In den Industrieländern verursacht ein erhöhter BMI ein Drittel aller ischämischen Herzerkrankungen und ein Viertel aller zerebrovaskulären Erkrankungen. Die Beziehung zwischen der Höhe des BMI und dem relativen Risiko für Gesamtmortalität ist j-förmig. Als unabhängiger Risikofaktor für die Gesamtmortalität belegt Adipositas weltweit den sechsten Rang; in Deutschland steht sie an vierter Stelle. Die Prävalenz der Adipositas in Deutschland hat zwischen 1985 und 2002 konstant zugenommen, bei Männern von 16,2 % auf 22,5 % und bei Frauen von 16,2 % auf 23,3 %. Die Prävalenz des Übergewichts bzw. der Adipositas bei Kindern und Jugendlichen in Deutschland wird derzeit auf 15 % bzw. 6 % geschätzt. Der sozioökonomische Status ist eine wichtige Determinante der Adipositas, wobei der Einfluss sozialer Unterschiede auf die Prävalenz der Adipositas bei Frauen größer ist als bei Männern. Konzepte zur Eindämmung der Adipositas erfordern multiple Strategien, um sowohl auf der Individualebene, als auch auf der Populationsebene eine Trendwende in der Entwicklung dieser Epidemie herbeizuführen.
Summary
Obesity is associated with an increased risk for various chronic diseases. The risk of diabetes, hypertension and dyslipidemia is increased upwards from a body mass index (BMI) of 21 kg/m2. In industrial countries a high BMI accounts for one third of cases of ischemic heart disease and one quarter of cerebrovascular diseases. The relationship between BMI and relative risk of death is 'J'-shaped. Obesity ranks sixth as an independent risk factor for overall mortality worldwide, and fourth among the leading causes of death in Germany. The prevalence of obesity in Germany increased continuously between 1985 and 2002: in men from 16.2% to 22.5% and in women form 16.2% to 23.3%. Prevalence of overweight and obesity in children and adolescents in Germany is estimated to be 15% and 6%, respectively. Socio-economic status is an important determinant of obesity and the effect of social differences on the prevalence of obesity is stronger for women than men. Concepts to curtail obesity require multiple strategies on the individual and population level if the trend of the epidemic is to be reversed.
Schlüsselwörter
Adipositas - Epidemie - Deutschland
Key words
obesity - epidemic - Germany
Literatur
1
Adams K F, Schatzkin A, Harris T B. et al .
Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old.
N Engl J Med.
2006;
355
763-778
3
Chan J M, Rimm E B, Colditz G A, Stampfer M J, Willett W C.
Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men.
Diabetes Care.
1994;
17
961-969
4
Colditz G A, Willett W C, Rotnitzky A, Manson J E.
Weight gain as a risk factor for clinical diabetes mellitus in women.
Ann Intern Med.
1995;
122
481-486
5
Cole T J, Bellizzi M C, Flegal K M, Dietz W H.
Establishing a standard definition for child overweight and obesity worldwide: international survey.
BMJ.
2000;
320
1240-1243
6
Engeland A, Bjorge T, Sogaard A J, Tverdal A.
Body mass index in adolescence in relation to total mortality: 32-year follow-up of 227,000 Norwegian boys and girls.
Am J Epidemiol.
2003;
157
517-523
7
EUROASPIRE I and II Group .
Clinical reality of coronary prevention guidelines: a comparison of EUROASPIRE I and II in nine countries. European Action on Secondary Prevention by Intervention to Reduce Events.
Lancet.
2001;
357
995-1001
8
Ezzati M, Hoorn S V, Rodgers A, Lopez A D, Mathers C D, Murray C J.
Estimates of global and regional potential health gains from reducing multiple major risk factors.
Lancet.
2003;
362
271-280
9
Ezzati M, Lopez A D, Rodgers A, Vander H S, Murray C J.
Selected major risk factors and global and regional burden of disease.
Lancet.
2002;
360
1347-1360
11
Flegal K M, Troiano R P.
Changes in the distribution of body mass index of adults and children in the US population.
Int J Obes Relat Metab Disord.
2000;
24
807-818
13
Gortmaker S L, Cheung L W, Peterson K E. et al .
Impact of a school-based interdisciplinary intervention on diet and physical activity among urban primary school children: eat well and keep moving.
Arch Pediatr Adolesc Med.
1999;
153
975-983
16
Han T S, van Leer E M, Seidell J C, Lean M E.
Waist circumference action levels in the identification of cardiovascular risk factors: prevalence study in a random sample.
BMJ.
1995;
311
1401-1405
18
Hedley A A, Ogden C L, Johnson C L, Carroll M D, Curtin L R, Flegal K M.
Prevalence of overweight and obesity among US children, adolescents, and adults, 1999 - 2002.
JAMA.
2004;
291
2847-2850
19
Heidrich J, Liese A D, Kalic M. et al .
Sekundärprävention der koronaren Herzkrankheit. Ergebnisse der EuroASPIRE I- und II-Studien in der Region Münster.
Dtsch Med Wochenschr.
2002;
127
667-672
21
Hense H W, Filipiak B, Döring A, Stieber J, Liese A, Keil U.
Ten-Year Trends of Cardiovascular Risk Factors in the MONICA Augsburg Region in Southern Germany.
CVD Prevention.
1998;
1
318-327
23 James P T, Jackson-Learch R, Ni Mhurchu C. Overweight and obesity (high body mass index). Geneva: WHO In: Ezzati M, Lopez AD, Rogers A, Murray CJL, editors. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors 2004
26
Janssen I, Katzmarzyk P T, Srinivasan S R. et al .
Utility of childhood BMI in the prediction of adulthood disease: comparison of national and international references.
Obes Res.
2005;
13
1106-1115
27
Kalies H, Lenz J, von Kries R.
Prevalence of overweight and obesity and trends in body mass index in German pre-school children, 1982 - 1997.
Int J Obes Relat Metab Disord.
2002;
26
1211-1217
28
Kelder S H, Perry C L, Klepp K I, Lytle L L.
Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors.
Am J Public Health.
1994;
84
1121-1126
31
Liese A D, Doring A, Hense H W, Keil U.
Five year changes in waist circumference, body mass index and obesity in Augsburg, Germany.
Eur J Nutr.
2001;
40
282-288
32
Liese A D, Hirsch T, von Mutius E, Weiland S K.
Burden of overweight in Germany: prevalence differences between former East and West German children.
Eur J Public Health.
2006;
16
526-531
37
Must A, Spadano J, Coakley E H, Field A E, Colditz G, Dietz W H.
The disease burden associated with overweight and obesity.
JAMA.
1999;
282
1523-1529
39
Olshansky S J, Passaro D J, Hershow R C. et al .
A potential decline in life expectancy in the United States in the 21st century.
N Engl J Med.
2005;
352
1138-1145
40
Peeters A, Barendregt J J, Willekens F, Mackenbach J P, Al Mamun A, Bonneux L.
Obesity in adulthood and its consequences for life expectancy: a life-table analysis.
Ann Intern Med.
2003;
138
24-32
41
Pouliot M C, Despres J P, Lemieux S. et al .
Waist circumference and abdominal sagittal diameter: best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women.
Am J Cardiol.
1994;
73
460-468
43 Schaffrath-Rosario A, Kurth B M. Die Verbreitung von Übergewicht und Adipositas. Kiggs-Symposium 2006. Aufzufinden unter: http://www.kiggs.de/experten/downloads/dokumente/ppt_adipositas.pdf. Abgerufen am 16.01.2007
44
Summerbell C D, Waters E, Edmunds L D, Kelly S, Brown T, Campbell K J.
Interventions for preventing obesity in children.
Cochrane Database Syst Rev.
2005;
3
CD001871
45 Swinburn B, Bell C. A comprehensive approach to obesity prevention. Oxford: Blackwell Publishing In: Kopelman PG, Caterson ID, Dietz WH, editors. Clinical Obesity in Adults and Children 2005: 456-471
48 World Health Organisation .The European Health Report 2005: public health action for healthier children and populations. Statistical Tables. World Health Organisation ed. Geneva 2005