Relationship between attitudes and indicators of obesity for midlife women

Health Education and Behavior

Volumn 36, Issue 6, 2009, Pages 1082-1094

  Sudo, Noriko ^a   Degeneffe, Dennis ^b   Vue, Houa ^c   Merkle, Emily ^d   Kinsey, Jean ^b   Ghosh, Koel ^b   Reicks, Marla ^b  

^a NATIONAL INSTITUTE OF PUBLIC HEALTH   (Japan)

^b UNIVERSITY OF MINNESOTA   (United States)

^c CHILDREN S HOSPITALS AND CLINICS OF MINNESOTA   (United States)

^d Ameriprise Financial   (United States)

Author keywords

Attitudes; Cluster analysis; Midlife women; Obesity; Segmentation

Indexed keywords

ADULT; ARTICLE; ATTITUDE; BODY MASS; CROSS-SECTIONAL STUDY; DIET; FEEDING BEHAVIOR; FEMALE; FOOD; HUMAN; MIDDLE AGED; MORPHOMETRICS; OBESITY; PSYCHOLOGICAL ASPECT; WOMEN'S HEALTH;

ADULT; ATTITUDE; BODY MASS INDEX; BODY WEIGHTS AND MEASURES; CROSS-SECTIONAL STUDIES; DIET; FEEDING BEHAVIOR; FEMALE; FOOD; HUMANS; MIDDLE AGED; OBESITY; WOMEN'S HEALTH;

EID: 70450176229     PISSN: 10901981     EISSN: 15526127     Source Type: Journal    
DOI: 10.1177/1090198109335653     Document Type: Article

References (34)

1. Aikman, S.N., Min, K.E., & Graham, D. (2006). Food attitudes, eating behavior, and the information underlying food attitudes. Appetite, 47(1), 111-114.
2. Ajzen, I. (1988). Attitudes, personality and behavior. Milton Keynes, UK: Open University Press.
3. Albrecht, T.L., & Bryant, C. (1996). Advances in segmentation modeling for health communication and social marketing campaigns. Journal of Health Communication, 1, 65-80.
4. Aldenderfer, M.S., & Blashfield, R.K. (1984). Cluster analysis. Newbury Park, CA: Sage.
5. Baron, R.A., & Byrne, D. (1984). Social psychology: Understanding human interaction. Boston: Allyn & Bacon.
6. Beydoun, M.A., & Wang Y. (2008). Do nutrition knowledge and beliefs modify the association of socio-economic factors and diet quality among US adults? Preventive Medicine, 46(2), 145-153.
7. Bisogni, C.A., Jastran, M., Shen, L., & Devine, C.M. (2005). A biographical study of food choice capacity: Standards, circumstances, and food management skills. Journal of Nutrition Education and Behavior, 37, 284-291.
8. Boslaugh, S.E., Kreuter, M.W., Nicholson, R.A., & Naleid, K. (2005). Comparing demographic, health status and psychosocial strategies of audience segmentation to promote physical activity. Health Education Research, 20, 430-438.
9. Clark, M., Hampson, S.E., Avery, L., & Simpson, R. (2004). Effects of a tailored lifestyle self-management intervention in patients with type 2 diabetes. British Journal of Health Psychology, 9, 365-379.
10. Crano, W.D., & Prislin, R. (2006). Attitudes and persuasion. Annual Review of Psychology, 57, 345-374.
11. Daviglus, M.L., Liu, K., Yan, L.L., Pizada, M., Garside, D.B., Schiffer, L., et al. (2003). Body mass index in middle age and health-related quality of life in older age: The Chicago Heart Association Detection Project in Industry Study. Archives of Internal Medicine, 163, 2448-2455.
12. Davison, K.K., & Birch, L.L. (2002). Obesigenic families: Parents' physical activity and dietary intake patterns predict girls' risk of overweight. International Journal of Obesity Related Metabolism and Disorders, 26, 1186-1193.
13. Ericsson, K.A., & Simon, H.A. (1993). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.
14. Fulkerson, J.A., Neumark-Sztainer, D., & Story, M. (2006). Adolescent and parent views of family meals. Journal of the American Dietetic Association, 106, 526-532.
15. Gaston, M.H., Porter, G.K., & Thomas, V.G. (2007). Prime Time Sister Circles: Evaluating a gender-specific, culturally relevant health intervention to decrease major risk factors in midlife African-American women. Journal of the National Medical Association, 99, 428-438.
16. Gonzalez, A.J., White, E., Kristal, A., & Littman, A.J. (2006). Calcium intake and 10-year weight change in middle-aged adults. Journal of the American Dietetic Association, 106, 1066-1073.
17. Kaiser, H.F., & Caffrey, J. (1965). Alpha factor analysis. Psychometrika, 30, 1-44.
18. Kuchler, F., & Lin, B.H. (2002). The influence of individual choices and attitudes on adiposity. International Journal of Obesity and Related Metabolic Disorders, 26, 1017-1022.
19. Ma, Y., Bertone, E.R., Stanek, E.J., Reed, G.W., Hebert, J.R., Cohen, N.L., et al. (2003). Association between eating patterns and obesity in a free-living US adult population. American Journal of Epidemiology, 158, 85-92.
20. Martin, P.D., Rhode, P.C., Dutton, G.R., Redmann, S.M., Ryan, D.H., & Brantley, P.J. (2006). A primary care weight management intervention for low-income African-American women. Obesity, 14, 1412-1420.
21. Nederkoorn, C., Braet, C., Van Eijs, Y., Tanghe, A., & Jansen, A. (2006). Why obese children cannot resist food: The role of impulsivity. Eating Behaviors, 7, 315-322.
22. Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric theory. New York: McGraw-Hill.
23. Ogden, C.L., Carroll, M.D., Curtin, L.R., McDowell, M.A., Tabak, C.J., & Flegal, K.M. (2006). Prevalence of overweight and obesity in the United States, 1999-2004. Journal of the American Medical Association, 295, 1549-1555.
24. Paquette, M.C. (2005). Perceptions of healthy eating: State of knowledge and research gaps. Canadian Journal of Public Health, 96(Suppl. 3), S15-9, S16-21.
25. Sternfeld, B., Wang, H., Quesenberry, C.P., Abrams, B., Everson-Rose, S.A., Greendale, G.A., et al. (2004). Physical activity and changes in weight and waist circumference in midlife women: Findings from the Study of Women's Health Across the Nation. American Journal of Epidemiology, 169, 912-922.
26. Sullivan, P.W., Wyatt, H.R., Morrato, E.H., Hill, J.O., & Ghushchyan, V. (2005). Obesity, inactivity, and the prevalence of diabetes and diabetes-related cardiovascular comorbidities in the U.S., 2000-2002. Diabetes Care, 28, 1599-1603.
27. Tan, P.-N., Steinbach, M., & Kumar V. (2006). Cluster analysis: Basic concepts and algorithms. In Introduction to data mining (pp. 487-568). Boston: Pearson Addison Wesley.
28. Townsend, M.S. (2006). Evaluating food stamp nutrition education: Process for development and validation of evaluation measures. Journal of Nutrition Education and Behavior, 38, 18-24.
29. Vue, H., Degeneffe, D., & Reicks, M.M. (2008). Need states based on eating occasion experienced by midlife women. Journal of Nutrition Education and Behavior, 40, 378-384.
30. Wang, D.H., Kogashiwa, M., & Kira, S. (2006). Development of a new instrument for evaluating individuals' dietary intake. Journal of the American Dietetic Association, 106, 1588-1593.
31. Wang, W.C., Worsley, A., & Cunningham, E.G. (2008). Social ideological influences on reported food consumption and BMI [Online]. International Journal of Behavioral Nutrition and Physical Activity, 5, 20.
32. Willett, W.C., Dietz, W.H., & Colditz, G.A. (1999). Guidelines for healthy weight. New England Journal of Medicine, 341, 427-434.
33. Williamson, D.A., Allen, H.R., Martin, P.D., Alfonso, A.J., Gerald, B., & Hunt, A. (2003). Comparison of digital photography to weighed and visual estimation of portion sizes. Journal of the American Dietetic Association, 103, 1139-1145.
34. Yan, L.L., Daviglus, M.L., Liu, K., Stamler, J., Wang, R., Pirzada, A., et al. (2006). Midlife body mass index and hospitalization and mortality in older age. Journal of the American Medical Association, 295, 190-198.