| Peer-Reviewed

Does Consumer Behaviour on Meat Consumption Increase Obesity? - Empirical Evidence from European Countries

Received: 29 January 2014    Accepted:     Published: 20 February 2014
Views:       Downloads:
Abstract

The study shows the association between consumer behavior on meat consumption and obesity of individuals in the European countries. Consumer behavior in terms of meat consumption and life-style has significant impact on obesity which is defined by Body Mass Index (BMI) calculated as kilogram per meter square. The primary sample survey which was conducted online, received the voluntary response from European nationals. The study finds that increasing proportion of meat in the meal has significant positive association in increasing the BMI. The study shows that age and meat consumption have significant positive association with increasing BMI, however, education, income and hours of physical exercise have negative association with increasing BMI. In order to analyze the complex and causal relationship among the variables, an econometric regression technique has been used. As the dependent variable BMI is an ordered categorical variable, ordered logistic model is used to analyze the model.

Published in International Journal of Economic Behavior and Organization (Volume 2, Issue 1)
DOI 10.11648/j.ijebo.20140201.11
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Obesity, Meat Consumption, Gender, European Consumers, Consumer Behavior

References
[1] Bendsen NT, Christensen R, Bartels EM, Kok FJ, Sierksma A, Raben A, Astrup A (2013). Is beer consumption related to measures of abdominal and general obesity?-A systematic review and meta-analysis. Nutrition Reviews, 71: 67-87.
[2] Cameron AC, Trivedi PK (2005). Microeconometrics- Methods and applications. Cambridge University Press, 1: 518-519.
[3] Halkjaer J, Tjønneland A, Overvad K, Sørensen TI (2009). Dietary Predictors of 5-Year Changes in Waist Circumference. J. Am. Diet. Assoc., 109: 1356-1366.
[4] Key T, Davey G (1996). Prevalence of obesity is low in people who do not eat meat. BMJ, 313: 816-817.
[5] Kimokoti RW, Gona P, Zhu L, Newby PK, Millen BE, Brown LS, D_Agostino RB, Fung TT (2012). Dietary Patterns of Women Are Associated with Incident Abdominal Obesity but Not Metabolic Syndrome. J. Nutr., 142: 1720-1727.
[6] Seidell JC, Rissanen AM (1998). Time Trends in the Worldwide Prevalence of Obesity. In Bray GA, Bouchard C, James WPT (eds). Handbook of Obesity. New York, NY: Marcel Dekker.
[7] Sizer FS, Whitney EN (1994). Hamilton and Whitney’s Nutrition Concepts and Controversies, 6th ed. St Paul, Minn, West Publishing.
[8] Swinburn B, Caterson I, Seidell JC, James WPT (2004). Diet, Nutrition and the Prevention of Excess Weight Gain and Obesity. Public Health Nutrition, 7: 123–146.
[9] Togo P, Osler M, Sørensen TI, Heitmann BL (2001). Food intake patterns and body mass index in observational studies. Int. J. Obes. Relat. Metab. Disor., 25: 1741-1751.
[10] Togo P, Osler M, Sørensen TI, Heitmann BL (2004). A longitudinal study of food intake patterns and obesity in adult Danish men and women. Int. J. Obes. Relat. Metab. Disor., 28: 583-93.
[11] Wang Y, Beydoun MA (2009). Meat consumption is associated with obesity and central obesity among US adults. Int. J. Obes., 33: 621-628.
[12] WHO: World Health Organization (2003). Diet, Nutrition, and the Prevention of Chronic Diseases. WHO Technical Report Series 916. Geneva.
[13] Xiao Y, Zhao N, Wang H, Zhang J, He Q, Su D, Zhao M, Wang L, Zhang X, Hu R et al. (2013). Association between socioeconomic status and obesity in a Chinese adult population. BMC Public Health, 13: 355.
[14] Zhu Y, Hollis JH (2013). Soup Consumption Is Associated with a Reduced Risk of Overweight and Obesity but Not Metabolic Syndrome in US Adults: NHANES 2003-2006. PLoS ONE, 8: e75630. 198.
Cite This Article
  • APA Style

    Hasan Mohammad Monirul. (2014). Does Consumer Behaviour on Meat Consumption Increase Obesity? - Empirical Evidence from European Countries. International Journal of Economic Behavior and Organization, 2(1), 1-5. https://doi.org/10.11648/j.ijebo.20140201.11

    Copy | Download

    ACS Style

    Hasan Mohammad Monirul. Does Consumer Behaviour on Meat Consumption Increase Obesity? - Empirical Evidence from European Countries. Int. J. Econ. Behav. Organ. 2014, 2(1), 1-5. doi: 10.11648/j.ijebo.20140201.11

    Copy | Download

    AMA Style

    Hasan Mohammad Monirul. Does Consumer Behaviour on Meat Consumption Increase Obesity? - Empirical Evidence from European Countries. Int J Econ Behav Organ. 2014;2(1):1-5. doi: 10.11648/j.ijebo.20140201.11

    Copy | Download

  • @article{10.11648/j.ijebo.20140201.11,
      author = {Hasan Mohammad Monirul},
      title = {Does Consumer Behaviour on Meat Consumption Increase Obesity? - Empirical Evidence from European Countries},
      journal = {International Journal of Economic Behavior and Organization},
      volume = {2},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.ijebo.20140201.11},
      url = {https://doi.org/10.11648/j.ijebo.20140201.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20140201.11},
      abstract = {The study shows the association between consumer behavior on meat consumption and obesity of individuals in the European countries. Consumer behavior in terms of meat consumption and life-style has significant impact on obesity which is defined by Body Mass Index (BMI) calculated as kilogram per meter square. The primary sample survey which was conducted online, received the voluntary response from European nationals. The study finds that increasing proportion of meat in the meal has significant positive association in increasing the BMI. The study shows that age and meat consumption have significant positive association with increasing BMI, however, education, income and hours of physical exercise have negative association with increasing BMI. In order to analyze the complex and causal relationship among the variables, an econometric regression technique has been used. As the dependent variable BMI is an ordered categorical variable, ordered logistic model is used to analyze the model.},
     year = {2014}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Does Consumer Behaviour on Meat Consumption Increase Obesity? - Empirical Evidence from European Countries
    AU  - Hasan Mohammad Monirul
    Y1  - 2014/02/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ijebo.20140201.11
    DO  - 10.11648/j.ijebo.20140201.11
    T2  - International Journal of Economic Behavior and Organization
    JF  - International Journal of Economic Behavior and Organization
    JO  - International Journal of Economic Behavior and Organization
    SP  - 1
    EP  - 5
    PB  - Science Publishing Group
    SN  - 2328-7616
    UR  - https://doi.org/10.11648/j.ijebo.20140201.11
    AB  - The study shows the association between consumer behavior on meat consumption and obesity of individuals in the European countries. Consumer behavior in terms of meat consumption and life-style has significant impact on obesity which is defined by Body Mass Index (BMI) calculated as kilogram per meter square. The primary sample survey which was conducted online, received the voluntary response from European nationals. The study finds that increasing proportion of meat in the meal has significant positive association in increasing the BMI. The study shows that age and meat consumption have significant positive association with increasing BMI, however, education, income and hours of physical exercise have negative association with increasing BMI. In order to analyze the complex and causal relationship among the variables, an econometric regression technique has been used. As the dependent variable BMI is an ordered categorical variable, ordered logistic model is used to analyze the model.
    VL  - 2
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Economic and Technological Change, Center for Development Research (ZEF), University of Bonn, Germany

  • Sections