Commercial Bakery, Fast-Food, and Soft Drink Consumption and Quality of Life in the SUN Project — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Commercial Bakery, Fast-Food, and Soft Drink Consumption and Quality of Life in the SUN Project
Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain
,
Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain
,
CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
,
CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
,
CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
,
Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
1 Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain
2 Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain
3 CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
4 CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
5 CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
6 Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; CiberObn Physiopathology of Obesity and Nutrition, Institute of Health “Carlos III”, Madrid, Spain; Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
Objective: Few studies have related nutritional factors with quality of life in healthy populations. Our aim was to analyze the relationship between commercial bakery, fast food or soft drinks consumption and mental and physical quality of life. Study Design: This analysis included 8335 participants from the "Seguimiento Universidad de Navarra" (SUN) Project (a multipurpose, dynamic cohort). Methods: The consumption of commercial bakery, fast food and soft drinks was assessed through a validated food-frequency questionnaire at baseline. Quality of life was measured after 4 years of follow-up with the Short-Form 36 (SF-36) Health Survey. Generalized Linear Models were fit to assess the regression coefficients (b) and their 95% confidence intervals (95% CI) for the association between commercial bakery, fast food and soft drinks consumption and each domain and the two standardized measures of the SF-36. Results: As compared to the participants in the lowest quintile of consumption, those participants in the highest quintile of consumption of commercial bakery, fast food and soft drinks showed a score significantly lower (>2 points) for vitality (b = -2.14, 95% CI = -3.31 to -0.96), role emotional (b = -2.23, 95% CI = -4.33 to -0.13), and role physical (b = -2.31, 95% IC = -4.26 to -0.36) domains with statistically significant dose-response relationships (p for trend < 0.05). When the food groups were analysed separately, significant inverse associations were found only for commercial bakery and fast-food consumption. Conclusions: The results suggest that high consumption of commercial bakery, fast-food and soft drinks at baseline was associated with worse scores on self-perceived quality of life. This association was stronger for the mental domains of the SF-36.
KeywordsCommercial BakeryFast-FoodSoft DrinkDynamic CohortEpidemiologyQuality of Life
Testa, M.A. and Simonson, D.C. (1996) Assessment of Quality of Life Outcomes. New England Journal of Medicine, 334, 835-840. http://dx.doi.org/10.1056/NEJM199603283341306
Gutierrez-Bedmar, M., Seguí-Gomez, M., Gomez-Gracia, E., Bes-Rastrollo, M. and Martinez-Gonzalez, M.A. (2009) Smoking Status, Changes in Smoking Status and Health-Related Quality of Life: Findings from the SUN (Seguimiento Universidad de Navarra) Cohort. International Journal of Environmental Research and Public Health, 6, 310-320. http://dx.doi.org/10.3390/ijerph6010310
Serrano-Aguilar, P., Muñoz-Navarro, S.R., Ramallo-Fariña, Y. and Trujillo-Martin, M.M. (2009) Obesity and Health Related Quality of Life in the General Adult Population of the Canary Islands. Quality of Life Research, 18, 171-177. http://dx.doi.org/10.1007/s11136-008-9427-1
Corica, F., Corsonello, A. and Apolone, G. (2008) Metabolic Syndrome, Psychological Status and Quality of Life in Obesity: The QUOVADIS Study. International Journal of Obesity, 32,185-191. http://dx.doi.org/10.1038/sj.ijo.0803687
Sanchez-Villegas, A., Ara, I., Dierssen, T., De la Fuente, C., Ruano, C. and Martínez-González, M.A. (2001) Physical Activity during Leisure Time and Quality of Life in the SUN Project. British Journal of Sports Medicine, 46, 443-448. http://dx.doi.org/10.1136/bjsm.2010.081836
Hislop, T.G., Bajdik, C.D., Balneaves, L.G., Holmes, A., Chan, S., Wu, E., Abanto, Z.U. and Butler, A.L. (2006) Physical and Emotional Health Effects and Social Consequences after Participation in a Low-Fat, High-Carbohydrate Dietary Trial for More than 5 Years. Journal of Clinical Oncology, 24, 2311-2317. http://dx.doi.org/10.1200/JCO.2005.04.3042
Plaisted, C.S., Lin, P.H., Ard, J.D., McClure, M.L. and Svetkey, L.P. (2006) The Effects of Dietary Patterns on Quality of Life: A Substudy of the Dietary Approaches to Stop Hypertension Trial. Journal of the American Dietetic Association, 99, 84-89. http://dx.doi.org/10.1016/S0002-8223(99)00421-6
Pisinger, C., Toft, U., Aadahl, M., Glümer, C. and Jorgensen, T. (2009) The Relationship between Lifestyle and Self-Reported Health in a General Population: The Inter99 Study. Preventive Medicine, 49, 418-423. http://dx.doi.org/10.1016/j.ypmed.2009.08.011
Sofi, F., Cesari, F., Abbate, R., Gensini, G.F. and Casini, A. (2008) Adherence to Mediterranean Diet and Health Status: Meta-Analysis. BMJ, 337, a1344. http://dx.doi.org/10.1136/bmj.a1344
Muñóz, M.A., Fíto, M., Marrugat, J., Covas, M.I. and Schröeder, H. (2009) Adherence to the Mediterranean Diet Is Associated with Better Mental and Physical Health. British Journal of Nutrition, 101, 1821-1827. http://dx.doi.org/10.1017/S0007114508143598
Heidemann, C., Schulze, M.B., Franco, O.H., Van Dam, R.M., Mantzoros, C.S. and Hu, F.B. (2008) Dietary Patterns and Risk of Mortality from Cardiovascular Disease, Cancer, and All Causes in a Prospective Cohort of Women. Circulation, 118, 230-237. http://dx.doi.org/10.1161/CIRCULATIONAHA.108.771881
Fung, T.T., Rimm, E.B., Spiegelman, D., Rifai, N., Tofler, G.H., Willet, W.C. and Hu, F.B. (2001) Association between Dietary Patterns and Plasma Biomarkers of Obesity and Cardiovascular Disease Risk. American Journal of Clinical Nutrition, 73, 61-67.
Hu, F.B., Rimm, E.B., Stampfer, M.J., Ascherio, A., Spiegelman, D. and Willet, W.C. (2000) Prospective Study of Major Dietary Patterns and Risk of Coronary Heart Disease in Men. American Journal of Clinical Nutrition, 72, 912-921.
Garcia-Closas, R., Berenguer, A. and González, C.A. (2006) Changes in Food Supply in Mediterranean Countries from 1961 to 2001. Public Health Nutrition, 9, 53-60. http://dx.doi.org/10.1079/PHN2005757
Seidell, J.C. (2005) Epidemiology of Obesity. Seminars in Vascular Medicine, 5, 3-14. http://dx.doi.org/10.1055/s-2005-871737
World Health Organization (WHO) (2003) Diet, Nutrition and the Prevention of Chronic Disease. Report of a World Health Organization/FAO Expert Consultation, Geneva.
World Health Organization (WHO) (2008) The Global Burden of Disease 2004 Update. WHO, Geneva.
Bes-Rastrollo, M., Sánchez-Villegas, A., Gómez-Gracia, E., Martínez, J.A., Pajares, R.M. and Martínez-González, M.A. (2006) Predictors of Weight Gain in a Mediterranean Cohort: The Seguimiento Universidad de Navarra Study. American Journal of Clinical Nutrition, 83, 362-370.
Sánchez-Villegas, A., Toledo, E., De Irala, J., Ruiz-Canela, M., Pla-Vidal, J. and Martínez-González, M.A. (2012) Fast-Food and Commercial Bebed Goods Consumption and the Risk of Depression. Public Health Nutrition, 15, 424-432.
Jacka, F.N., Pasco, J.A., Mykletun, A., Williams, L.J., Hodge, A.M., O’Reilly, S.L., Nicholson, G.C., Kotowicz, M.A. and Berk, M. (2010) Association of Western and Traditional Diets with Depression and Anxiety in Women. American Journal of Psychiatry, 167, 305-311. http://dx.doi.org/10.1176/appi.ajp.2009.09060881
Akbaraly, T.N., Brunner, E.J., Ferrie, J.E., Marmot, M.G., Kivimaki, M. and Singh-Manoux, A. (2009) Dietary Pattern and Depressive Symptoms in Middle Age. British Journal of Psychiatry, 195, 408-413. http://dx.doi.org/10.1192/bjp.bp.108.058925
Jeffery, R.W., Linde, J.A., Simon, G.E., Ludman, E.J., Rohde, P., Ichikawa, L.E. and Finch, E.A. (2009) Reported Food Choices in Older Women in Relation to Body Mass Index and Depressive Symptoms. Appetite, 52, 238-240. http://dx.doi.org/10.1016/j.appet.2008.08.008
Ernersson, A., Hollman, G., Sepa-Frostell, A., Nyström, F. and Lindström, T. (2010) An Obesity Provoking Behaviour Negatively Influences Young Normal Weight Subjects Health Related Quality of Life and Causes Depressive Symptoms. Eating Behaviors, 11, 247-252. http://dx.doi.org/10.1016/j.eatbeh.2010.05.005
Martinez-Gonzalez, M.A., Sanchez-Villegas, A., De Irala, J., Marti, A. and Martínez, J.A. (2002) Mediterranean Diet and Stroke: Objectives and Design of the SUN Project. Seguimiento Universidad de Navarra. Nutritional Neuroscience, 5, 65-73. http://dx.doi.org/10.1080/10284150290007047
Segui-Gomez, M., De la Fuente, C., Vazquez, Z., De Irala, J. and Martínez-González, M.A. (2006) Cohort Profile: The “Seguimiento Universidad de Navarra” (SUN) Study. International Journal of Epidemiology, 35, 1417-1422. http://dx.doi.org/10.1093/ije/dyl223
Willet, W.C. (1998) Issues in Analysis and Presentation of Dietary Data. Nutritional Epidemiology. 2nd Edition, Oxford University Press, New York.
Martin-Moreno, J.M., Boyle, P., Gorgojo, L., Maisonneuve, P., Fernadez-Rodiguez, J.C., Salvini, S. and Willet, W.C. (1993) Development and Validation of a Food Frequency Questionnaire in Spain. International Journal of Epidemiology, 22, 512-519. http://dx.doi.org/10.1093/ije/22.3.512
De la Fuente-Arrillaga, C., Vázquez, Z., Bes-Rastrollo, M., Sampson, L. and Martínez-Gonzalez, M.A. (2010) Reproducibility of a Food Frequency Questionnaire (FFQ) Validated in Spain. Public Health Nutrition, 131, 364-372.
Mataix Verdú, J. (2003) Tabla de composición de alimentos españoles (Food Composition Tables). 4th Edition, Universidad de Granada, Granada. (in Spanish)
Moreiras, O., Carbajal, A. and Cabrera, L. (2005) Tablas de composición de alimentos [Food Composition Tables]. 9th Edition, Pirámide, Madrid. (in Spanish)
Willet, W.C., Howe, G.R. and Kushi, L.H. (1997) Adjustment for Total Energy Intake in Epidemiologic Studies. American Journal of Clinical Nutrition, 65, 1220-1221.
Ware, J.E. and Gandek, B. (1998) Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. Journal of Clinical Epidemiology, 51, 903-912. http://dx.doi.org/10.1016/S0895-4356(98)00081-X
Vilagut, G., Valderas, J.M., Ferrer, M., Garin, O., LópezGarcía, E. and Alonso, J. (2008) Interpretación de los cuestionarios de salud SF-36 y SF-12 en España: Componentes físico y mental. Medicina Clínica, 130, 726-735. http://dx.doi.org/10.1157/13121076
Martinez-Gonzalez, M.A., López-Fontana, C., Varo, J.J., Sanchez-Villegas, A. and Martínez, J.A. (2005) Validation of the Spanish Version of the Physical Activity Questionnaire Used in the Nurses’ Health Study and the Health Professionals’ Follow-Up Study. Public Health Nutrition, 8, 920-927. http://dx.doi.org/10.1079/PHN2005745
Bes-Rastrollo, M., Perez Valdivieso, J.R., Sanchez-Villegas, A., Alonso, A. and Martinez-Gonzalez, M.A. (2005) Validación del peso e índice de masa corporal auto-declarados de los participantes de una cohorte de graduados universitarios. Revista Española de Obesidad, 3, 183-189.
Trichopoulou, A., Costacou, T., Bamia, C. and Trichopoulos, D. (2003) Adherence to a Mediterranean Diet and Survival in a Greek Population. New England Journal of Medicine, 348, 2599-2608. http://dx.doi.org/10.1056/NEJMoa025039
Wannamethee, G. and Shapher, A.G. (1991) Self-Assessment of Health Status and Morbidity and Mortality in Middle-Aged British Men. International Journal of Epidemiology, 2, 239-245. http://dx.doi.org/10.1093/ije/20.1.239
Samsa, G., Edelman, D., Rothman, M.L., Williams, G.R., Lipscomb, J. and Matchar, D. (1999) Determining Clinically Important Differences in Health Status Measures: A General Approach with Illustration to the Health Utilities Index Mark II. PharmacoEconomics, 15, 141-155.
Crosby, R.D., Kolotkin, R.L. and Williams, G.R. (2003) Defining Clinically Meaningful Change in Health-Related Quality of Life. Journal of Clinical Epidemiology, 56, 395-407. http://dx.doi.org/10.1016/S0895-4356(03)00044-1
Isganaitis, E. and Lustig, R.H. (2005) Fast Food, Central Nervous System, Insulin Resistance, and Obesity. Arteriosclerosis, Thrombosis, and Vascular Biology, 25, 2451-2462. http://dx.doi.org/10.1161/01.ATV.0000186208.06964.91
Pereira, M.A., Kartashov, A.I., Ebbeling, C.B., Van Horn, L., Slattery, M.L., Jacobs, D.R. and Ludwig, D.S. (2005) Fast-Food Habits, Weight Gain and Insulin Resistance (the CARDIA Study): 15-Year Prospective Analysis. Lancet, 365, 36-42. http://dx.doi.org/10.1016/S0140-6736(04)17663-0
Lopez-García, E., Sculze, M.B., Fung, T.T., Meigs, J.B., Rifai, N., Manson, J.E. and Hu, F.B. (2004) Major Dietary Patterns Are Related to Plasma Concentrations of Markers of Inflammation and Endothelial Dysfunction. American Journal of Clinical Nutrition, 80, 1029-1035.
Hu, F.B., Rimm, E., Smith-Warner, S.A., Feskanich, D., Stampfer, M.J., Ascherio, A., Sampson, L. and Willet, W.C. (1999) Reproducibility and Validity of Dietary Patterns Assessed with a Food Frequency Questionnaire. American Journal of Clinical Nutrition, 69, 243-249.
Fernández-San Juan, P.M. (2009) Trans Fatty Acids (tFA): Sources and Intake Levels, Biological Effects and Content in Commercial Spanish Food. Nutrición Hospitalaria, 24, 515-520.
Barclay, A.W., Petocz, P., McMillan-Price, J., Flood, V.M., Prvan, T., Mitchell, P. and Brand-Miller, J.C. (2008) Glycemic Index, Glycemic Load, and Chronic Disease Risk—A Meta-Analysis of Observational Studies. American Journal of Clinical Nutrition, 87, 627-637.
Levitan, E.B., Cook, N.R., Stampfer, M.J., Ridker, P.M., Rexrode, K.M., Buring, J.E., Manson, J.E. and Liu, S. (2008) Dietary Glycemic Index, Dietary Glycemic Load, Blood Lipids, and C-Reactive Protein. Metabolism-Clinical and Experimental, 57, 437-443. http://dx.doi.org/10.1016/j.metabol.2007.11.002
Molteni, R., Barnard, R.J., Ying, Z., Roberts, C.K. and Gomez-Pinilla, F. (2002) A High-Fat, Refined Sugar Diet Reduces Hippocampal Brain-Derived Neurotrophic Factor, Neuronal Plasticity, and Learning. Neuroscience, 112, 803-814. http://dx.doi.org/10.1016/S0306-4522(02)00123-9
Castrén, E., Berninger, B., Leingärtnerand, A. and Lindholm, D. (1998) Regulation of Brain-Derived Neurotrophic Factor Levels in Hippocampus by Neuronal Activity. Progress in Brain Research, 117, 57-64. http://dx.doi.org/10.1016/S0079-6123(08)64007-8
Euromonitor International (2009) Global Consumer Foodservice: Fast Casual Dining Set for Global Expansion.
Rothman, K.J., Greenland, S. and Lash, T.L. (2008) Modern Epidemiology. 3rd Edition, Lippincott Williams, Philadelphia.