The Body Mass Index (BMI) and TV Viewing in a Co-Integration Framework


Many techniques are met in the literature, trying to investigate the effect of TV watching hours on BMI. However, we haven’t traced any empirical study with co-integration analysis, as it is applied here. With this in mind, we present in this paper the proper methodology, based on the co-integration analysis for a detailed justification of the effect of TV viewing hours together with some minor changes in life style of participants on BMI. Apart from finding and testing an acceptable co-integration relation, we further formulated an error correction model to determine the coefficient of adjustment. All findings, which are fully justified, are presented in details in the relevant sections. It should be pointed out, that we haven’t met this type of analysis in the relevant literature.

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Victoria Lazaridi, A. (2012). The Body Mass Index (BMI) and TV Viewing in a Co-Integration Framework. Sociology Mind, 2, 282-288. doi: 10.4236/sm.2012.23037.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Ahn, S., Zhao, H., Smith, M. L., Ory, M. G., & Phillips, C. D. (2011). BMI and lifestyle changes as correlates to changes in self-reported diagnosis of hypertension among older Chinese adults. Journal of the American Society of Hypertension, 5, 21-30. doi:10.1016/j.jash.2010.12.001
[2] Bridger, S. R., & Bennett I. A. (2011). Age and BMI interact to determine work ability in seafarers. Occupational Medicine, 61, 157-162. doi:10.1093/occmed/kqr003
[3] Browning, B., Thormann, K., Donaldson, A., Halverson, T., Shinkle, M., & Kletzel, M. (2011). Busulfan dosing in children with BMIs ≥ 85% undergoing HSCT: A new optimal strategy. Biology of Blood and Marrow Transplantation, 17, 1383-1388. doi:10.1016/j.bbmt.2011.01.013
[4] Danner, M. F. (2008). A National longitudinal study of the association between hours of TV viewing and the trajectory of BMI growth among US children. Journal of Pediatric Psychology, 33, 1100-1107. doi:10.1093/jpepsy/jsn034
[5] Davison, K. K., Marshall, S. J., & Birch, L. L. (2006). Cross-sectional and longitudinal associations between TV viewing and girls body mass index, overweight, and percentage of body fat. Journal of Pediatrics, 149, 32-37. doi:10.1016/j.jpeds.2006.02.003
[6] Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431.
[7] Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057-1072. doi:10.2307/1912517
[8] Dickey, D. A., Jansen, D. W., & Thornton, D. L. (1994). A Primer on cointegration with an application to money and income. In B. B. Rao (Ed.), Cointegration for the applied economist. London: St. Martin’s Press.
[9] Eek, F., & ?stergren, O. P. (2009). Factors associated with BMI change over five years in Swedish adult population. Results from the Scania Public Health Cohort Study. Scandinavian Journal of Public Health, 37, 532-544. doi:10.1177/1403494809104359
[10] Farkas, T. D., Vemulapalli, P., Haider, A., Lopes, M. J., Gibbs, E. K., & Teixeira, A. J. (2005). Laparoscopic Roux-en-Y gastric bypass is safe and effective in patients with BMI ≥ 60. Obsesity Surgery, 15, 486-493. doi:10.1381/0960892053723466
[11] Freedman, S. D., Katzmarzyk, T. P., Dietz, H. W., Srinivasan, R. S., & Berenson, S. G. (2010). The relation of BMI and skinfold thicknesses to risk factors among young middle-aged adults: The Bogalusa Heart Study. Annals of Human Biology, 37, 726-737. doi:10.3109/03014461003641849
[12] Granger, C. W. J., & Newbold, B. (1974). Spurious regressions in econometric model specification. Journal of Econometrics, 2, 111-120. doi:10.1016/0304-4076(74)90034-7
[13] Green, H. W. (2008). Econometric analysis (6th ed). Pearson, NJ:Prentice Hall.
[14] Hansen, B. E. (1992). Testing for parameter instability in linear models. Journal of Policy Modelling, 14, 517-533. doi:10.1016/0161-8938(92)90019-9
[15] Harbin, G., Shenoy, C., & Olson, J. (2006). Ten-year comparison of bmi, body fat, and fitness in the workplace. American Journal of Industrial Medicine, 49, 223-230. doi:10.1002/ajim.20279
[16] Harris, R. (1995). Using cointegration analysis in econometric modelling. London: Prentice Hall.
[17] Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46, 1251-1271. doi:10.2307/1913827
[18] Henderson, V. R. (2007). Longitudinal association between television viewing and body mass index among white and black girls. Journal of Adolescent Health, 41, 544-550. doi:10.1016/j.jadohealth.2007.04.018
[19] Johnston, J. (1984). Econometric Methods (3rd ed.). New York: McGraw-Hill Book Company.
[20] Komlos, J. (2006). The height increments and BMI values of elite Central European children and youth in the second half of the 19th century. Annals of Human Biology, 33, 309-318. doi:10.1080/03014460600619203
[21] Lazaridis, A. (2007). A note regarding the condition number: The case of spurious and latent multicollinearity. Quality & Quantity, 41, 123-135. doi:10.1007/s11135-005-6225-5
[22] Lazaridis, A. (2008). Singular value decomposition in cointegration analysis. A note regarding the difference stationary series. Quality & Quantity, 42, 699-710. doi:10.1007/s11135-007-9120-4
[23] Lazarou, C., & Soteriades, E. (2009). Children’s physical activity, TV watching and obesity in Cyprus: The CYKIDS study. European Journal of Public Health, 20, 70-77. doi:10.1093/eurpub/ckp093
[24] Lee, J. W., Wang, W., Lee, Y. C., Hang, M. T., Ser, K. H., & Chen, J. C. (2008). Effects of laparoscopic mini-gastric bypass for type 2 diabetes mellitus: Comparison of BMI > 35 and < 35 kg/m2. Journal of Gastrointestinal Surgery, 12, 945-952. doi:10.1007/s11605-007-0319-4
[25] MacKinnon, J. (1991). Critical values for co-integration tests. In R. F. Engle, & C. W. J. Granger (Eds.), Long-run economic relationships (pp. 267-276), Oxford: Oxford University Press.
[26] Manios, Y., Yiannakouris, N., Papoutsakis, C., Moschonis, G., Magkos, F., Skenderi, K., & Zampelas, A. (2004). Behavioral and physiological indices related to BMI an a cohort of primary schoolchildren in Greece. American Journal of Human Biology, 16, 639-647. doi:10.1002/ajhb.20075
[27] Nguyen, D. (1987). Advertising, random sales response, and brand competition: Some theoretical and econometric implications. Journal of Business, 60, 259-279. doi:10.1086/296395
[28] Ouyang, M., Zhou, D., & Zhou, N. (2002). Estimating marketing persistence on sales of consumer durables in China. Journal of Business Research, 55, 337-342. doi:10.1016/S0148-2963(00)00156-9
[29] Ramsey, J. B. (1969). Tests for Specification error in classical linear least squares regression analysis. Journal of the Royal Statistical Society, Series B, 31, 350-371.
[30] Stea, H. T., Wandel, M., Mansoor, A. M., Uglem, S., & Frolich, W. (2008). BMI, lipid profile, physical fitness and smoking habits of young male adults and the association with parental education. European Journal of Public Health, 19, 46-51. doi:10.1093/eurpub/ckn122
[31] Stenhammar, C., Olson, G. M., Hulting, A.-L., Wettergren, B., Edlund, B., & Montgomery, S. M. (2010). Family stress and BMI in young children. Acta Paediatrica, 99, 1205-1212. doi:10.1111/j.1651-2227.2010.01776.x

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