System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency
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| date | 2014-07-09 08:58:07 |
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| internalnotes | [1] World Health Organization, Obesity and overweight. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/index.html, 2013 [Accessed 22 March 2014]. [2] A.K. Choudhary, L.F. Donnelly, J.M. Racadio and J.L. Strife, Diseases associated with childhood obesity, American Journal of Roentgenelogy, 188 (2007), 1118-1130. [3] R.S. Strauss, Childhood obesity and self-esteem, Pediatrics, 105 (2000) 1-5. [4] A. Datar, R. Sturm and J.L. Magnabosco, Childhood overweight and academic performance: national study of kindergartners and first grades, Obesity Research, 12 (2004) 58-68. [5] NHS, Health Survey for England-2009, Trend tables: Child trend tables. Available from: http://www.hscic.gov.uk/pubs/hse09trends, 2010 [Accessed 10 February 2014]. [6] Department of Health, Healthy weight, healthy lives: A cross-government strategy for England. Available from: http://webarchive.nationalarchives.gov.uk/20100407220245/http://www.dh.gov.u k/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_ 082378, 2008 [Accessed on 11th May 2009]. [7] S. Kumanyika, R. Jeffery, A. Morabia, C. Ritenbaugh and V.J. Antipatis, Obesity prevention: The case for action, International Journal of Obesity, 26 (2002) 425-436. [8] A. Regmi and J. Dyck, Effects of urbanization on global food demand, Changing Structure of Global Food Consumption and Trade, 2001, 23-30. [9] B.J. Rolls, L.S. Roe, J.S. Meengs and D. E. Wall, Increasing the portion size of a sandwich increases energy intake, Journal of the American Dietetic Association, 104 (2004) 367-372. [10] J. H. Ledikwe, J. A. Ello-Martin and B. J. Rolls, Portion sizes and obesity epidemic, Journal of Nutrition, 135 (2005) 905-909. [11] D.T. Levy, P.L. Mabry, Y.C. Wang, S. Gortmaker, TT‐K. Huang, T. Marsh, M. Moodie and B. Swinburn, Simulation models of obesity: A review of the literature and implications for research and policy, Obesity Reviews, 12 (2011) 378-394. [12] E. Stamatakis, P. Zaninotto, E. Falaschetti, J. Mindell and J. Head, Time trends in childhood and adolescent obesity in England from 1995 to 2007 and projections of prevalence to 2015, Journal of Epidemiology and Community Health, 64 (2010) 167-174. [13] P. Zaninotto, H. Wardle, E. Stamatakis, J. Mindell and J. Head, Forecasting Obesity to 2010. Available from: www.sportni.net/NR/rdonlyres/7FEF403C-063D-42B6-89FF-A666522BC5DD/0/ Forecating_Obesity_in_2010.pdf, 2006 [Accessed 2 January 2014]. [14] K.R. Westerterp, J.H.H.L.M. Donkers, E.W.H.M Fredrix and P. Boekhoudt, Energy intake, physical activity and body weight: A simulation model, British Journal of Nutrition, 73 (1995) 337-347. [15] N.F. Butte and E. Christiansen, T.I.A. Sørensen, Energy imbalance underlying the development of childhood obesity, Obesity, 15 (2007) 3056-3066. [16] J.D. Sterman, Business Dynamics: Systems Thinking And Modelling For A Complex World, Boston MA: Irwan McGraw-Hill, 2000. [17] T.K Abdel-Hamid, Exercise and diet in obesity treatment: An integrative system dynamics perspective, Medicine & Science in Sports & Exercise, 35 (2003) 400-413. [18] J. Homer, A. Jones, D. Seville and Sustainability Institute, Diabetes system model reference guidance. Available from: www.climateinteractive.org/about/writing/Diabetes Systems Model-Jones.pdf, 2004 [Accessed 19 February 2014]. [19] J. Homer, B. Milstein, W. Dietz, D. Buchner and E. Majestic, Obesity population dynamics: Exploring historical growth and plausible futures in the US. In: The Online Proceedings of 24th International System Dynamics Conference, July 2006, Nijmegen, Netherlands, 2006. [20] G.B. Hirsch, System dynamics modelling in health care, ACM SIGSIM Simulation Digest, 10 (1979) 38-42. [21] K. Taylor, B. Dangerfield and J. LeGrand, Simulation analysis of the consequences of shifting the balance of health care: A system dynamics approach. Journal of Health Services Research & Policy, 10 (2005) 196-202. [22] J.W. Forrester, Industrial Dynamics, MIT Press: Cambridge, MA (Now available from Pegasus Communications, Waltham, MA), 1961. [23] J.B. Ruidavets, V. Bongard, V. Bataille, P. Gourdy and J. Ferrières, Eating frequency and body fatness in middle-aged men, Int J Obes Relat Metab Disord, 26 (2002),1476. [24] D.L. Franko, R.H. Striegel-Moore, D. Thompson, S.G. Affenito, G.B. Schreiber, S.R. Daniels and P.B. Crawford, The relationship between meal frequency and body mass index in black and white adolescent girls: more is less, Int J Obes (Lond), 32 (2008) 23-29. [25] L.R Young, M. Nestle, Portion sizes and obesity: Responses of fast-food companies, Journal of Public Health Policy, 28 (2007) 238-48. [26] K.N. Boutelle, J.A. Fulkerson, D. Neumark-Sztainer, M. Story and S.A. French, Fast food for family meals: Relationships with parent and adolescent food intake, home food availability and weight status, Public Health Nutrition, 10 (2007) 16-23. [27] K.J. Duffey, P. Gordon-Larsen, Dr. Jr. Jacobs, D. Williams and B.M. Popkin, Differential associations of fast-food and restaurant food consumption with 3-y change in body mass index: The coronary artery risk development in young adults (CARDIA) study, American Journal of Clinical Nutrition, 85 (2007) 201-208. [28] H.J. Leidy and W.W. Campbell, The effect of eating frequency on appetite control and food intake: Brief synopsis of controlled feeding studies, The Journal of Nutrition, 141 (2011) 154-157. [29] N.Z. Abidin, A Dynamic Model for Evaluating the Effects of Changes in Eating and Physical Activity on Childhood Obesity, Ph.D Thesis, University of Salford, 2012. |
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| spelling | 10803 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10803 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal UniSZA Unisza unisza image/jpeg inches 796 96 96 1420 05 05 2014-07-09 08:58:07 1420x796 4935-01-FH02-FIK-14-00834.jpg UniSZA Private Access System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency Applied Mathematical Sciences The childhood obesity has rapidly increased, though little is known about the impact of frequency of meals and portion size on weight and obesity. The objective of this study is to compare and to determine the effective strategy for obesity prevention by improving the consumption of portion size and meal frequency. This study utilised the secondary data obtained from the Health Survey for England for the child population aged between 2 to 15 years in United Kingdom This study combines the different strands of knowledge from nutrition, physical activity and body metabolism and synthesizing this knowledge into a system dynamics model which the model offers unique insights into the cause-and-effect relationships among the influencing factors. Findings from the simulation analysis demonstrated that reducing meal frequency is the most effective controlling strategy for obesity prevention. This is asserted by the fact that the highest reduction in average weight (3.14%-4.5%) and average body mass index (3.14%-4.5%) between 2020 and 2030 was observed by improving meal frequency. This paper concludes that system dynamics utilised in this study will be advantageous to guide the food stakeholder to gain insight into the complex of eating behavior and to experiment with various intervention strategies for obesity prevention. 8 66 3283-3296 [1] World Health Organization, Obesity and overweight. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/index.html, 2013 [Accessed 22 March 2014]. [2] A.K. Choudhary, L.F. Donnelly, J.M. Racadio and J.L. Strife, Diseases associated with childhood obesity, American Journal of Roentgenelogy, 188 (2007), 1118-1130. [3] R.S. Strauss, Childhood obesity and self-esteem, Pediatrics, 105 (2000) 1-5. [4] A. Datar, R. Sturm and J.L. Magnabosco, Childhood overweight and academic performance: national study of kindergartners and first grades, Obesity Research, 12 (2004) 58-68. [5] NHS, Health Survey for England-2009, Trend tables: Child trend tables. Available from: http://www.hscic.gov.uk/pubs/hse09trends, 2010 [Accessed 10 February 2014]. [6] Department of Health, Healthy weight, healthy lives: A cross-government strategy for England. Available from: http://webarchive.nationalarchives.gov.uk/20100407220245/http://www.dh.gov.u k/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_ 082378, 2008 [Accessed on 11th May 2009]. [7] S. Kumanyika, R. Jeffery, A. Morabia, C. Ritenbaugh and V.J. Antipatis, Obesity prevention: The case for action, International Journal of Obesity, 26 (2002) 425-436. [8] A. Regmi and J. Dyck, Effects of urbanization on global food demand, Changing Structure of Global Food Consumption and Trade, 2001, 23-30. [9] B.J. Rolls, L.S. Roe, J.S. Meengs and D. E. Wall, Increasing the portion size of a sandwich increases energy intake, Journal of the American Dietetic Association, 104 (2004) 367-372. [10] J. H. Ledikwe, J. A. Ello-Martin and B. J. Rolls, Portion sizes and obesity epidemic, Journal of Nutrition, 135 (2005) 905-909. [11] D.T. Levy, P.L. Mabry, Y.C. Wang, S. Gortmaker, TT‐K. Huang, T. Marsh, M. Moodie and B. Swinburn, Simulation models of obesity: A review of the literature and implications for research and policy, Obesity Reviews, 12 (2011) 378-394. [12] E. Stamatakis, P. Zaninotto, E. Falaschetti, J. Mindell and J. Head, Time trends in childhood and adolescent obesity in England from 1995 to 2007 and projections of prevalence to 2015, Journal of Epidemiology and Community Health, 64 (2010) 167-174. [13] P. Zaninotto, H. Wardle, E. Stamatakis, J. Mindell and J. Head, Forecasting Obesity to 2010. Available from: www.sportni.net/NR/rdonlyres/7FEF403C-063D-42B6-89FF-A666522BC5DD/0/ Forecating_Obesity_in_2010.pdf, 2006 [Accessed 2 January 2014]. [14] K.R. Westerterp, J.H.H.L.M. Donkers, E.W.H.M Fredrix and P. Boekhoudt, Energy intake, physical activity and body weight: A simulation model, British Journal of Nutrition, 73 (1995) 337-347. [15] N.F. Butte and E. Christiansen, T.I.A. Sørensen, Energy imbalance underlying the development of childhood obesity, Obesity, 15 (2007) 3056-3066. [16] J.D. Sterman, Business Dynamics: Systems Thinking And Modelling For A Complex World, Boston MA: Irwan McGraw-Hill, 2000. [17] T.K Abdel-Hamid, Exercise and diet in obesity treatment: An integrative system dynamics perspective, Medicine & Science in Sports & Exercise, 35 (2003) 400-413. [18] J. Homer, A. Jones, D. Seville and Sustainability Institute, Diabetes system model reference guidance. Available from: www.climateinteractive.org/about/writing/Diabetes Systems Model-Jones.pdf, 2004 [Accessed 19 February 2014]. [19] J. Homer, B. Milstein, W. Dietz, D. Buchner and E. Majestic, Obesity population dynamics: Exploring historical growth and plausible futures in the US. In: The Online Proceedings of 24th International System Dynamics Conference, July 2006, Nijmegen, Netherlands, 2006. [20] G.B. Hirsch, System dynamics modelling in health care, ACM SIGSIM Simulation Digest, 10 (1979) 38-42. [21] K. Taylor, B. Dangerfield and J. LeGrand, Simulation analysis of the consequences of shifting the balance of health care: A system dynamics approach. Journal of Health Services Research & Policy, 10 (2005) 196-202. [22] J.W. Forrester, Industrial Dynamics, MIT Press: Cambridge, MA (Now available from Pegasus Communications, Waltham, MA), 1961. [23] J.B. Ruidavets, V. Bongard, V. Bataille, P. Gourdy and J. Ferrières, Eating frequency and body fatness in middle-aged men, Int J Obes Relat Metab Disord, 26 (2002),1476. [24] D.L. Franko, R.H. Striegel-Moore, D. Thompson, S.G. Affenito, G.B. Schreiber, S.R. Daniels and P.B. Crawford, The relationship between meal frequency and body mass index in black and white adolescent girls: more is less, Int J Obes (Lond), 32 (2008) 23-29. [25] L.R Young, M. Nestle, Portion sizes and obesity: Responses of fast-food companies, Journal of Public Health Policy, 28 (2007) 238-48. [26] K.N. Boutelle, J.A. Fulkerson, D. Neumark-Sztainer, M. Story and S.A. French, Fast food for family meals: Relationships with parent and adolescent food intake, home food availability and weight status, Public Health Nutrition, 10 (2007) 16-23. [27] K.J. Duffey, P. Gordon-Larsen, Dr. Jr. Jacobs, D. Williams and B.M. Popkin, Differential associations of fast-food and restaurant food consumption with 3-y change in body mass index: The coronary artery risk development in young adults (CARDIA) study, American Journal of Clinical Nutrition, 85 (2007) 201-208. [28] H.J. Leidy and W.W. Campbell, The effect of eating frequency on appetite control and food intake: Brief synopsis of controlled feeding studies, The Journal of Nutrition, 141 (2011) 154-157. [29] N.Z. Abidin, A Dynamic Model for Evaluating the Effects of Changes in Eating and Physical Activity on Childhood Obesity, Ph.D Thesis, University of Salford, 2012. |
| spellingShingle | System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency |
| summary | The childhood obesity has rapidly increased, though little is known about the impact of frequency of meals and portion size on weight and obesity. The objective of this study is to compare and to determine the effective strategy for obesity prevention by improving the consumption of portion size and meal frequency. This study utilised the secondary data obtained from the Health Survey for England for the child population aged between 2 to 15 years in United Kingdom This study combines the different strands of knowledge from nutrition, physical activity and body metabolism and synthesizing this knowledge into a system dynamics model which the model offers unique insights into the cause-and-effect relationships among the influencing factors. Findings from the simulation analysis demonstrated that reducing meal frequency is the most effective controlling strategy for obesity prevention. This is asserted by the fact that the highest reduction in average weight (3.14%-4.5%) and average body mass index (3.14%-4.5%) between 2020 and 2030 was observed by improving meal frequency. This paper concludes that system dynamics utilised in this study will be advantageous to guide the food stakeholder to gain insight into the complex of eating behavior and to experiment with various intervention strategies for obesity prevention. |
| title | System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency |
| title_full | System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency |
| title_fullStr | System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency |
| title_full_unstemmed | System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency |
| title_short | System dynamics modelling and its implications for childhood obesity prevention: Evidence from improving the consumption of portion size and meal frequency |
| title_sort | system dynamics modelling and its implications for childhood obesity prevention: evidence from improving the consumption of portion size and meal frequency |