Gesundheitswesen 2021; 83(01): 59-65
DOI: 10.1055/a-0965-6840
Originalarbeit

Regional and Social Disparities for Obesity among Austrian Adults: Representative Long-term Trends from 1973–2014

Regionale und soziale Ungleichheiten zu Adipositas bei Erwachsenen in Österreich: Repräsentative Langzeittrends zwischen 1973–2014
Franziska Großschädl
1   Institut für Pflegewissenschaft, Medizinische Universität Graz, Graz, Austria
,
Willibald Julius Stronegger
2   Institut für Sozialmedizin, Medizinische Universität Graz, Graz, Austria
› Author Affiliations

Abstract

Study aim To present regional long-term trends for the prevalence of obesity (BMI ≥ 30 kg/m²) among Austrian adults in Western, Central and Eastern Austria. Furthermore, the educational inequality regarding obesity was analysed in these regions in Austria for the investigation period.

Methods Self-reported data from six nationally representative, cross-sectional surveys (n=194,030) conducted between 1973 and 2014 were analysed. Absolute changes (AC) and Etiologic fractions (EF) were calculated to measure trends. The extent of social inequality was presented by the relative index of inequality (RII) based on the educational level.

Results Since 1973, a clear east to west gradient for obesity among adults in Austria has been observed. In 2014, the age-standardized prevalence was highest among Eastern Austrian adults (women: 16.9%; men: 18.2%). A constant increase in obesity among men has been visible since 1983. Since 2007, the values for women have stabilized, while the prevalence of obesity among female Austrians in Western and Central Austria decreased. Considering the AC for the prevalence of obesity from 1983 on, the highest increase was found among women (+2.60%) and men (+1.56%) in Eastern Austria. The outcomes regarding social inequality are instable on a regional level, with the highest RII observed in 2014 for Central Austria.

Conclusion These study findings reveal significant regional differences in the prevalence of obesity in Austria and confirm the existence of an current east-west gradient in Austria for obesity. Considering the latest trends, especially men represent a risk group for obesity in the 3 regions.

Zusammenfassung

Ziel der Studie Die Untersuchung regionaler Langzeittrends zur Darstellung der Prävalenz von Adipositas (BMI ≥ 30 kg/m²) bei Erwachsenen in West-, Zentral- und Ostösterreich. Weiterhin wird die bildungsbasierte soziale Ungleichheit für Adipositas in den 3 definierten Regionen Österreichs für den Untersuchungszeitraum analysiert.

Methodik Selbstberichtete Daten aus 6 nationalen repräsentativen Querschnittstudien (n=194 030), die zwischen 1973 und 2014 erhoben wurden, wurden zur Analyse herangezogen. Absolute changes (AC) und Etiologic fractions (EF) wurden berechnet, um die Trends zur Adipositasprävalenz zu messen. Das Ausmaß der sozialen Ungleichheit wurde mittels dem relativen Index für Ungleichheit (RII) basierend auf dem Bildungslevel dargestellt.

Ergebnisse Seit 1973 liegt ein deutliches Ost-West Gefälle im Hinblick auf die Adipositasprävalenz bei Erwachsenen in Österreich vor. 2014 war die altersstandardisierte Adipositasrate bei Personen in Ostösterreich am höchsten (Frauen: 16,9%; Männer: 18,2%). Bei Männern ist ein konstanter Anstieg seit 1983 sichtbar. Seit 2007 haben sich die Werte für Frauen in Ostösterreich stabilisiert, während die Adipositasprävalenz für Österreicherinnen aus West- und Zentralösterreich rückläufig ist. Bei Betrachtung der absoluten Veränderungen der Adipositasprävalenz gibt es den stärksten Anstieg seit 1983 bei Frauen (+2,60%) und Männern (+1,56%) in Ostösterreich. Die Ergebnisse zur sozialen Ungleichheit sind im zeitlichen Trend auf regionaler Ebene instabil. Im Jahr 2014 wies die Region „Zentralösterreich“ den höchsten RII auf.

Schlussfolgerung Diese Studienergebnisse zeigen signifikante regionale Unterschiede in der Adipositasprävalenz und bestätigen das vorliegende Ost-West Gefälle in Österreich für Adipositas. Bei Betrachtung der jüngsten Trends stellen v. a. Männer in den 3 Regionen eine Risikogruppe für Adipositas dar.



Publication History

Article published online:
07 October 2019

© 2019. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 World Health Organization. Obesity and Overweight. 2018; (cited 2018 Oct 3). Available from http://www.who.int/mediacentre/factsheets/fs311/en/index.html
  • 2 Großschädl F, Stronegger WJ. Long-term trends in obesity among Austrian adults and its relation with the social gradient: 1973–2007. Eur J Public Health 2013; 23: 306-312
  • 3 Marques-Vidal P, Bovet P, Paccaud F. et al. Changes of overweight and obesity in the adult Swiss population according to educational level, from 1992 to 2007. BMC Public Health 2010; 22: 87
  • 4 NCD-RisC. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet 2017; 16 390 2627-2642
  • 5 Mensink GB, Schienkiewitz A, Haftenberger M. et al. Overweight and obesity in Germany: results of the German Health Interview and Examination Survey for Adults (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013; 56: 786-794
  • 6 Midthjell K, Lee CM, Langhammer A. et al. Trends in overweight and obesity over 22 years in a large adult population: the HUNT Study, Norway. Clin Obes 2013; 3: 12-20
  • 7 Han TS, Correa E, Lean ME. et al. Changes in prevalence of obesity and high waist circumference over four years across European regions: the European male ageing study (EMAS). Endocrine 2017; 55: 456-469
  • 8 Stepaniak U, Micek A, Waśkiewicz A. et al. Prevalence of general and abdominal obesity and overweight among adults in Poland. Results of the WOBASZ II study (2013–2014) and comparison with the WOBASZ study (2003-2005). Pol Arch Med Wewn 2016; 126: 662-671
  • 9 Ng M, Fleming T, Robinson M. et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384: 766-781
  • 10 Flegal KM, Kruszon-Moran D, Carroll MD. et al. Trends in Obesity Among Adults in the United States, 2005–2014. JAMA 2016; 315: 2284-2291
  • 11 Wong RJ, Chou C, Ahmed A. Long term trends and racial/ethnic disparities in the prevalence of obesity. J Community Health 2014; 39: 1150-1160
  • 12 Thomas DM, Weedermann M, Fuemmeler BF. et al. Dynamic model predicting overweight, obesity, and extreme obesity prevalence trends. Obesity (Silver Spring) 2014; 22: 590-597
  • 13 Konnopka A, Dobroschke A, Lehnert T. et al. The costs of overweight and obesity: a Systematic Review. 2018; 80: 471-481
  • 14 Hruby A, Hu F. The Epidemiology of Obesity: A Big Picture. Pharmacoeconomics 2015; 33: 637-689
  • 15 Gallus S, Lugo A, Murisic B. et al. Overweight and obesity in 16 European countries. Eur J Nutr 2015; 54: 679-689
  • 16 Devaux M, Sassi F. Social inequalities in obesity and overweight in 11 OECD countries. Eur J Public Health 2013; 23: 464-469
  • 17 Leal C, Chaix B. The influence of geographic life environments on cardiometabolic risk factors: a systematic review, a methodological assessment and a research agenda. Obes. Review 2010;
  • 18 Blundell JE, Baker JL, Boyland E. et al. Variations in the prevalence of obesity among European countries, and a consideration of possible causes, Obes Facts. 2017; 10: 25-37
  • 19 Cohen SA, Cook SK, Kelley L. et al. A closer look at rural-urban health disparities: Associations between obesity and rurality vary by geospatial sociodemographic factors. J Rural Health 2017; 33: 167-179
  • 20 Dorner TE. Adipositasepidemiologie in Österreich. Wr. Med. Wochenschrift 2016; 166: 79-87
  • 21 Finucane MM, Stevens GA, Cowan MJ. et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet 2011; 377: 557-567
  • 22 Lakerveld J, Rebah MB, Mackenback JD. et al. Obesity-related behaviours and BMI in five urban regions across Europe: sampling design and results from the SPOTLIGHT cross-sectional survey. BMJ Open 2015; 5: e008505
  • 23 Rodrigo CP. Current mapping of obesity. Nutr Hosp 2013; 28: 21-31
  • 24 Santana P, Sanots R, Nogueira H. The link between local environment and obesity: A multilevel analysis in the Lisbon Metropolitan Area, Portugal. Soc Scie Med 2009; 601-609
  • 25 Swinburn BA, Sacks G, Hall KD. et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet 2011; 378: 804-814
  • 26 James WPT. Obesity: A global public health challenge. Clin Chem 2018; 4: 24-29
  • 27 Schober E, Rami B, Kirchengast S. et al. Recent trend in overweight and obesity in male adolescents in Austria: a population-based study. Eur J Pediatr 2007; 166: 709-714
  • 28 Rami B, Schober E, Kirchengast S. et al. Prevalence of overweight and obesity in male adolescents in Austria between 1985 and 2000. A population based study. J Pediatr Endocrinol Metab 2004; 17: 67-72
  • 29 Kirchengast S, Schober E, Waldhör T et al. Regional and social differences in body mass index, and the prevalence of overweight and obesity among 18 year old men in Austria between the years 1985 and 2000. Coll Antrpol 2004; 28:
  • 30 Schwarz B. Abdominal obesity and cardiometabolic risk factors in Austria, Central Europe. Recht der Medizin Ö&G. 2007; 3: 5-8
  • 31 Dorner T, Leitner B. Stadlmann et al. Prevalence of overweight and obesity in Austrian male and female farmers. Soz Prävanetivmed 2004; 49: 243-246
  • 32 Großschädl F, Stronegger WJ. Regional trends in obesity and overweight among Austrian adults between 1973 and 2007. Wien klin Wochenschrift 2013; 124: 363-369
  • 33 Stein KV, Rieder A, Dorner TE. East-West gradient in cardio-vascular mortality in Austria: how much can we explain by following the pattern of risk factors?. Int J Health Geogr 2011; 10: 59
  • 34 Berghöfer A, Pischon T, Reinhold T. et al. Obesity prevalence from a European perspective: a systematic review. BMC Public Health 2008; 5: 200
  • 35 Großschädl F, Haditsch B, Stronegger WJ. Validity of self-reported weight and height in Austrian adults: sociodemographic determinants and consequences for the classification of BMI categories. Public Health Nutrition 2011; 11: 1-8
  • 36 Dieterichs C, Neuhauser H, Kroll L. et al. Regionale Unterschiede in der Prävalenz von kardiovaskulären Risikofaktoren bei Männern und Frauen in Deutschland. Bundesgesundheitsbl 2017; 60: 151-161
  • 37 Datar A, Nicosla N. Assessing social contagion in body mass index, overweight, and obesity using a nutral experiment. JAMA Pediatr 2018; 172: 239-246
  • 38 Laggerros YT, Rössner S. Obesity management: what brings success?. Therap Adv Gastroenterol 2013; 6: 77-88
  • 39 Drewnowski A, Moudon AV, Jiao J. et al. Food environment and socioeconomic status influence obesity rates in Seattle and in Paris. Int J Obes (Lond) 2014; 38: 306-314
  • 40 Kroll LE, Schumann M, Hoebel J. et al. Regionale Unterschiede in der Gesundheit – Entwicklung eines sozioökonomischen Deprivationsindex für Deutschland. J Health Monitoring 2017; 2
  • 41 McPherson K, Marsh T, Brown M. Foresight- Tackling Obesities: Future Choices – Modelling Future Trends in Obesity and the Impact on Health. 2007; (cited 2018 Oct 3). Available from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/295149/07-1662-obesity-modelling-trends.pdf Accessed (Sept 10, 2018)
  • 42 da Silva GF, Morano MT, Sales MP. et al. Comparison of face-to-face interview and telephone interview administration of COPD assessment test: a randomized study. Qual Life Res 2014; 23: 1193-1197