Hostname: page-component-8448b6f56d-mp689 Total loading time: 0 Render date: 2024-04-19T21:04:36.668Z Has data issue: false hasContentIssue false
  • English
  • Français

Linking Consumer Health Perceptions to Consumption of Nonalcoholic Beverages

Published online by Cambridge University Press:  15 September 2016

Hyeyoung Kim  and
Lisa A. House
Hyeyoung Kim
Affiliation:
Food and Resource Economics Department at University of Florida, Gainesville
Lisa A. House*
Affiliation:
Food and Resource Economics Department at University of Florida, Gainesville
*
Corresponding Author: Lisa House ▪ Food and Resource Economics Department ▪ University of Florida ▪ PO Box 110240 ▪ Gainesville, FL 32611-0240 ▪ Phone 352.294.7653 ▪ Email lahouse@ufl.edu.
Get access

Abstract

This study explored factors influencing consumers' beverage consumption. Consumers drank greater shares of beverages perceived as healthy and, in most cases, drank smaller shares of a beverage when they perceived alternative beverages as more healthy. One exception was carbonated sugar-sweetened beverages; the share of their consumption increased as health perceptions of 100 percent juice increased and vice versa. Another important determinant of beverage consumption share was objective and subjective health knowledge. Beverage drinking habit, which was measured by whether a beverage was consumed daily or weekly, was the most significant factor in explaining a beverage's diet share.

Keywords

beverageconsumptionperceptionsugar
Type
Selected Papers
Information
Agricultural and Resource Economics Review , Volume 43 , Issue 1 , April 2014 , pp. 1 - 16
Copyright
Copyright © 2014 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ajzen, I. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50(2): 179–211.CrossRefGoogle Scholar
Ajzen, I., and Fishbein, M. 1977. “Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research.” Psychological Bulletin 84(3): 888–918.CrossRefGoogle Scholar
Bargh, J.A. 2003. “Why We Thought We Could Prime Social Behavior.” Psychological Inquiry 14(3/4): 216–218.CrossRefGoogle Scholar
Blumberg, S.J., and Luke, J.V. 2012. Wireless Substitution: Early Release of Estimates from the National Health Interview Survey, January-June 2012. Division of Health Interview Statistics, National Center for Health Statistics, CDC, Atlanta, GA. Available at www.cdc.gov/nchs/data/nhis/earlyrelease/wireless201212.pdf (accessed October 30, 2013).Google Scholar
Brannon, R. 1976. “Attitudes and the Prediction of Behavior.” In Seidenberg, B. and Snadowsky, A., eds., Social Psychology: An Introduction. New York: Free Press.Google Scholar
Breusch, T.S., and Pagan, A. 1980. “The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics.” Review of Economic Studies 47(1): 239–253.CrossRefGoogle Scholar
Brownell, K.D., Farley, T., Willett, W.C., Popkin, B.M., Chaloupka, F.J., Thompson, J.W., and Ludwig, D.S. 2009. “The Public Health and Economic Benefits of Taxing Sugar-sweetened Beverages.” New England Journal of Medicine 361(16): 1599–1605.CrossRefGoogle ScholarPubMed
Brucks, M. 1985. “The Effects of Product Class Knowledge on Information Search Behavior.” Journal of Consumer Research 12(1): 1–16.CrossRefGoogle Scholar
Bruijn, G., and Putte, B. 2009. “Adolescent Soft Drink Consumption, Television Viewing, and Habit Strength. Investigating Clustering Effects in the Theory of Planned Behavior.” Appetite 53(1): 66–75.CrossRefGoogle Scholar
Carels, R.A., Konrad, K., and Harper, J. 2007. “Individual Differences in Food Perceptions and Calorie Estimation: An Examination of Dieting Status, Weight, and Gender.” Appetite 49(2): 450–458.CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention. 2011. National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States, 2011. CDC, U.S. Department of Health and Human Services, Atlanta, GA.Google Scholar
Centers for Disease Control and Prevention. 2008. “National Health and Nutrition Examination Survey” data. CDC, Atlanta, GA.Google Scholar
Chartrand, T.L., and Bargh, J.A. 1999. “The Chameleon Effect: The Perception-Behavior Link and Social Interaction.” Journal of Personality and Social Psychology 76(6): 893–910.CrossRefGoogle ScholarPubMed
Davis, C.G., Dong, D., Blayney, D., Yen, S.T., and Stillman, R. 2012. “U.S. Fluid Milk Demand: A Disaggregated Approach.” International Food and Agribusiness Management Review 15(1): 25–50.Google Scholar
DiMeglio, D.P., and Mattes, R.D. 2000. “Liquid versus Solid Carbohydrates: Effects on Food Intake and Body Weight.” International Journal of Obesity and Related Metabolic Disorders 24(6): 794–800.CrossRefGoogle ScholarPubMed
House, L., Lusk, J., Jaeger, S., Traill, W., Moore, M., Valli, C., Morrow, B., and Yee, W. 2004. “Objective and Subjective Knowledge: Impacts on Consumer Demand for Genetically Modified Foods in the United States and the European Union.” AgBioForum 7(3): 113–123.Google Scholar
Kim, H., House, L.A., Rampersaud, G., and Gao, Z. 2012. “Front-of-package Nutritional Labels and Consumer Beverage Perceptions.” Applied Economic Perspectives and Policy 34(4): 599–614.CrossRefGoogle Scholar
Kolodinsky, J., Harvey-Berino, J.R., Berlin, L., Johnson, R.K., and Reynolds, T.W. 2007. “Knowledge of Current Dietary Guidelines and Food Choice by College Students: Better Eaters Have Higher Knowledge of Dietary Guidance.” Journal of the American Dietary Association 107(8): 1409–1413.CrossRefGoogle ScholarPubMed
Liska, A.E. (ed.). 1975. The Consistency Controversy: Readings on the Impact of Attitude on Behavior. New York: Wiley.Google Scholar
LiveScience. 2011. “Coffee Facts for National Coffee Day” web page. www.livescience.com/16297-coffee-facts-national-coffee-day-infographic.html.Google Scholar
Mattes, R. 2006. “Fluid Calories and Energy Balance: The Good, the Bad, and the Uncertain.” Physiology and Behavior 89(1): 66–70.CrossRefGoogle ScholarPubMed
O'Brien, R.M. 2007. “A Caution regarding Rules of Thumb for Variance Inflation Factors.” Quality and Quantity 41(5): 673–690.CrossRefGoogle Scholar
Park, C.W., Mothersbaugh, D.L., and Feick, L. 1994. “Consumer Knowledge Assessment.” Journal of Consumer Research 21(1): 71–82.CrossRefGoogle Scholar
Pereira, M.A., and Fulgoni, V.L. III. 2010. “Consumption of 100% Fruit Juice and Risk of Obesity and Metabolic Syndrome: Findings from the National Health and Nutrition Examination Survey 1999–2004.” Journal of the American College of Nutrition 29(6): 625–629.CrossRefGoogle ScholarPubMed
Popkin, B.M. 2010. “Patterns of Beverage Use across the Lifecycle.” Physiology and Behavior 100(1): 4–9.CrossRefGoogle ScholarPubMed
Ruddell, F. (ed.). 1979. Consumer Food Selection and Nutrition Information. New York: Praeger Publisher.Google Scholar
Schmidt, D. 2013. Food and Health Survey, 2013. International Food Information Council Foundation, Washington, DC. Available at http://conference.ifas.ufl.edu/citrus/presentations/Wednesday/PM/0335Schmidt.pdf (accessed October 30, 2013).Google Scholar
Schulze, M.B., Manson, J.E., Ludwig, D.S., Colditz, G.A., Stampfer, M.J., Willett, W.C., and Hu, F.B. 2004. “Sugar-sweetened Beverages, Weight Gain, and Incidence of Type 2 Diabetes in Young and Middle-aged Women.” The Journal of the American Medical Association 292(2): 927–934.CrossRefGoogle Scholar
Storey, M.L., Forshee, R.A., and Anderson, P.A. 2006. “Beverage Consumption in the U.S. Population.” Journal of the American Diet Association 106(12): 1992–2000.CrossRefGoogle Scholar
Tepper, B.J., Choi, Y-S., and Nayga, R.M. 1997. “Understanding Food Choice in Adult Men: Influence of Nutrition Knowledge, Food Beliefs, and Dietary Restraint.” Food Quality and Preference 8(4): 307–317.CrossRefGoogle Scholar
U.S. Departments of Agriculture and Health and Human Services. 2010. Dietary Guidelines for Americans 2010. USDA/DHHS, Washington, DC. Available at www.health.gov/dietaryguidelines/dga2010/DietaryGuidelines2010.pdf (accessed on October 30, 2013).Google Scholar
Vartanian, L.R., Schwartz, M.B., and Brownell, K.D. 2007. “Effects of Soft Drink Consumption on Nutrition and Health: A Systematic Review and Meta-Analysis.” American Journal of Public Health 97(4): 667–675.CrossRefGoogle ScholarPubMed
Werner, P. 2004. “Reasoned Action and Planned Behavior.” In Peterson, S.J. and Bredow, T.S., eds., Middle Range Theories: Application to Nursing Research. Philadelphia, PA: Lippincott Williams & Wilkins.Google Scholar
Wicker, A.W. 1969. “Attitudes versus Actions: The Relationship of Verbal and Overt Behavioral Responses to Attitude Objects.” Journal of Social Issues 25(4): 41–78.CrossRefGoogle Scholar
Zickuhr, K. 2013. Who's Not Online and Why. Pew Research Center's Internet and American Life Project. Washington, DC. Available at www.pewinternet.org/Reports/2013/Non-internet-users.aspx (accessed October 30, 2013).Google Scholar
Zoellner, J., Estabrooks, P.A., Davy, B.M., Chen, Y-C., and You, W. 2012. “Exploring the Theory of Planned Behavior to Explain Sugar-sweetened Beverage Consumption.” Journal of Nutrition Education and Behavior 44(2): 172–177.CrossRefGoogle ScholarPubMed