Literature DB >> 10933632

Variables independently associated with self-reported obesity in the European Union.

J A Martínez1, J M Kearney, A Kafatos, S Paquet, M A Martínez-González.   

Abstract

OBJECTIVE: The rapid increase in obesity rates over recent years suggest that cultural and societal influences are affecting the adjustment in the energy balance equation in addition to other physiopathological or genetic determinants. Therefore, a pan-EU study was carried out to explore the influence of sociodemographic factors as well as some attitudes (smoking and exercise) on the prevalence of obesity in the adult population of all 15 member states of the EU.
DESIGN: Overall, a sample of 15,239 individuals aged 15 years and upwards in the EU completed the questionnaire. Subject selection was quota-controlled to make the sample nationally representative following a multistage stratified cluster sampling. Self-reported height and weight were used to calculate body mass index (BMI).
RESULTS: From the EU average results, it can be seen that only about half of the EU population (48%) is within the normal weight range, while the obesity (BMI > or = 30 kg m(-2)) prevalence was about 10% in the EU and the overweight prevalence was 36.6% and 25.6% among men and women, respectively. UK subjects had the highest prevalence of obesity (12%), while Italians, French and Swedes had the lowest levels of obesity (about 7%). Concerning age and social class interactions, logistic regression analysis showed that high social class and younger individuals in all groups had a lower odds ratio for obesity prevalence. People with a higher level of education are less likely to be obese, while the interaction between educational levels and obesity was different for men and women. A low participation in various leisure-time physical activities, the lack of interest (precontemplation) in being involved in exercise/physical activity and the increasing number of hours sitting down at work appear to be predictors of obesity. Single individuals were less prone to become obese than couples or widowed/divorced people. Finally, smoking status was statistically linked to the prevalence of obesity, since non-smokers or ex-smokers for more than 1 year presented a higher tendency for a BMI > 30.
CONCLUSIONS: This survey confirms that a priority area for health intervention aimed at preventing the development of obesity should be to increase levels of physical activity, although the approach will depend on the population, especially with respect to educational and socioeconomic aspects.

Entities:  

Mesh:

Year:  1999        PMID: 10933632     DOI: 10.1017/s1368980099000178

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  27 in total

1.  Energy expenditure during leisure time and body mass index in Spain.

Authors:  S Martín-Almendros; M A Martínez-González; J De Irala-Estévez; M J Gibney; J Kearney; J A Martínez
Journal:  J Physiol Biochem       Date:  2000-06       Impact factor: 4.158

2.  Short term effect of feedback on fitness and health measurements on self reported appraisal of the stage of change.

Authors:  K I Proper; A J van der Beek; V H Hildebrandt; J W R Twisk; W van Mechelen
Journal:  Br J Sports Med       Date:  2003-12       Impact factor: 13.800

3.  Walking and cycling to health: a comparative analysis of city, state, and international data.

Authors:  John Pucher; Ralph Buehler; David R Bassett; Andrew L Dannenberg
Journal:  Am J Public Health       Date:  2010-08-19       Impact factor: 9.308

4.  Mini-review: Obesity in Caribbean Youth.

Authors:  E A Traboulay; O P-A Hoyte
Journal:  West Indian Med J       Date:  2015-04-01       Impact factor: 0.171

5.  Health behaviours as mediating pathways between socioeconomic position and body mass index.

Authors:  Katja Borodulin; Catherine Zimmer; Risto Sippola; Tomi E Mäkinen; Tiina Laatikainen; Ritva Prättälä
Journal:  Int J Behav Med       Date:  2012-03

Review 6.  Health-economic burden of obesity in Europe.

Authors:  Falk Müller-Riemenschneider; Thomas Reinhold; Anne Berghöfer; Stefan N Willich
Journal:  Eur J Epidemiol       Date:  2008-05-29       Impact factor: 8.082

Review 7.  The correlates and treatment of obesity in military populations: a systematic review.

Authors:  Paul W Sanderson; Stacy A Clemes; Stuart J H Biddle
Journal:  Obes Facts       Date:  2011-06-06       Impact factor: 3.942

8.  Overweight and obesity in 16 European countries.

Authors:  Silvano Gallus; Alessandra Lugo; Bojana Murisic; Cristina Bosetti; Paolo Boffetta; Carlo La Vecchia
Journal:  Eur J Nutr       Date:  2014-08-05       Impact factor: 5.614

9.  Low Dopamine D2 Receptor Increases Vulnerability to Obesity Via Reduced Physical Activity, Not Increased Appetitive Motivation.

Authors:  Jeff A Beeler; Rudolf P Faust; Susie Turkson; Honggang Ye; Xiaoxi Zhuang
Journal:  Biol Psychiatry       Date:  2015-07-26       Impact factor: 13.382

10.  Association of socioeconomic status with overall overweight and central obesity in men and women: the French Nutrition and Health Survey 2006.

Authors:  Michel Vernay; Aurelie Malon; Amivi Oleko; Benoit Salanave; Candice Roudier; Emmanuelle Szego; Valerie Deschamps; Serge Hercberg; Katia Castetbon
Journal:  BMC Public Health       Date:  2009-07-02       Impact factor: 3.295

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