Effects of a Dietary Modification Program on Food Consumption Behavior for People with Prediabetes
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Abstract
Purpose: This study aimed to assess the effects of a dietary modification program on a food consumption behavior.
Design: An experimental design.
Methods: 60 people with prediabetes were participated in this study. Participants were randomly assigned into experimental and control groups with 30 each. Participants in the experimental group received usual care plus the dietary modification program whereas those in the control group received only usual care. The 8-week dietary behavior modification program consisted of 4 sessions of group activities and a follow-up telephone call. Data collection was performed using questionnaires at based line, after intervention (week 4), and follow-up period (week 8). Descriptive statistics and repeated measure one-way ANOVA were used for data analysis.
Main findings: The study findings revealed that food consumption behavior, health belief and perceived self-efficacy of the experimental group significantly differed from the control group (F(1,58) = 38.096, p < .001, F(1, 58) = 26.374, p < .001 and F(1, 58) = 26.555, p < .001).
Conclusion and recommendations: The dietary modification program could modify food consumption behavior among people with prediabetes. Participants in the experimental group were more confident to choose proper food according to their prediabetic stage and had better health beliefs than those of the control group. Thus, community health nurse practitioners should apply this program in promoting dietary change for people with prediabetes in order to prevent or delay the onset of diabetes mellitus in the future.
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References
2. Centers for Disease Control and Prevention. National diabetes statistics report: estimates of diabetes and its burden in the United States [Internet]. Atlanta, GA: US Department of Health and Human Services; 2014 [cited 2014 Oct 24]. Available from: https://www.cdc.gov/diabetes/pdfs/data/2014-report-estimates-of-diabetes-and-its-burden-in-the-united-states.pdf.
3. Bureau of Non Communicable Diseases, Office of the Strategy and Policy, Ministry of Public Health. Prediabetes information and statistics report in fiscal year 2013 [Internet]. Nonthaburi: Office of the Strategy and Policy; 2014 [cited 2014 Jan 9]. Available from https://thaincd.com/information-statistic/non-communicable-disease-data.php. (in Thai).
4. Brownlee M, Aiello LP, Cooper ME, Vinik AI, Plutzky J, Boulton AJM. Complications of diabetes mellitus. In: Melmed S, Polonsky KS, Larsen PR, Kronenberg HM, editors. Williams textbook of endocrinology. 13th ed. Philadelphia, PA: Elsevier; 2016. chap 33.
5. International Health Policy Program Foundation. International health policy program, strategic plan for the development of disease burden assessment index and population health. Disability-Adjusted Life Year: DALY in year 2013. Nonthaburi: The Graphico-System; 2015. (in Thai).
6. Institute of Medical Research and Technology Assessment, Department of Medical Service, Ministry of Public Health. Literature review: present situation and noncommunicable disease service plan. Nonthaburi: Institute of Medical Research and Technology Assessment; 2014. (in Thai).
7. Office of the Permanent Secretary, Ministry of Public Health. NCD Service Plan (DM/ HT/ COPD/ STROKE). In: NCD Service Plan; 2013 February 15; Office of the Permanent Secretary, Building 1, Floor 2, Meeting Room 2. Nonthaburi: Ministry of Public Health; [2013]. p.12-7. (in Thai).
8. Gong Q, Gregg EW, Wang J, An Y, Zhang P, Yang W, et al. Long-term effects of a randomised trial of a 6-year lifestyle intervention in impaired glucose tolerance on diabetes-related microvascular complications: the China Da Qing diabetes prevention outcome study. Diabetologia. 2011;54(2):300-7.
9. American Diabetes Association. 4. Lifestyle management. Diabetes Care. 2017;40 Suppl 1:33-43
10. Office of Disease Control, Kamphaengphet Provincial Health Office. Prediabetes information report [Internet]. Kamphaengphet: Kamphaengphet Provincial Health Office; 2015 [cited 2015 Mar 29]. Available from: https://ncd.kpo.go.th/chronic/rep_dmscreen_r1.php. (in Thai).
11. Office of Non-communicable Diseases Control, Khlong Lan District Public Health Office. Implementation for control of non-communicable diseases in year 2013 [Supervision Document]. Kamphaengphet: Office of Non-communicable Diseases Control, Khlong Lan District Public Health Office; 2013. 34 p. (in Thai).
12. Kowall B, Rathmann W, Stang A, Bongaerts B, Kuss O, Herder C, et al. Perceived risk of diabetes seriously underestimates actual diabetes risk: The KORA FF4 study. PloS One. 2017;12(1):e0171152.
13. Jiamjarasrangsi W, Jaipakdee J, Tadpitakkul N, Kulnawan N, Buranarach M, Wongrochananan S. Type 2 diabetes epidemiology prevention and self-management support. Bangkok: Text and Journal Publication; 2017. 407 p. (in Thai).
14. Ley SH, Hamdy O, Mohan V, Hu FB. Prevention and management of type 2 diabetes: dietary components and nutritional strategies. Lancet. 2014;383(9933):1999-2007.
15. Fuengfung S, Kaveevivichai C, Piaseu N. Effects of diet control program using food exchange on knowledge, health behaviors, and blood glucose levels among persons with type 2 diabetes in District Health Promoting Hospitals. Journal of Public Health Nursing. 2015;29(3):34-49. (in Thai).
16. Pichayapinyo P, Lagampan S, Rueangsiriwat N. Effects of a dietary modification on 2h postprandial blood glucose in Thai population at risk of type 2 diabetes: an application of the stages of change model. Int J Nurs Pract. 2015;21(3):278-85.
17. Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Educ Q. 1988;15(2):175-83.
18. Champion VL, Skinner CS. The health belief model. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: theory, research, and practice. 4th ed. San Francisco, CA: Jossey-Bass A Wiley Imprint; 2008. p.45-65.
19. Langlarlertsakul M, Imamee N, Therawiwat M, Kengganpanich T. Factors predicting self-care behavior on diet and exercise of diabetes risk group, Phuket province, Thailand. Journal of Public Health. 2013;43(1):55-67. (in Thai).
20. Mohammadi S, Karim NA, Talib RA, Amani R. The impact of self-efficacy education based on the health belief model in Iranian patients with type 2 diabetes: a randomised controlled intervention study. Asia Pac J Clin Nutr. 2018;27(3):546-55.
21. Bandura A. Self-efficacy: the exercise of control. New York: W.H. Freeman; 1997.
22. Namjoo Nasab M, Ghavam A, Yazdanpanah A, Jahangir F, Shokrpour N. Effects of self-management education through telephone follow-up in diabetic patients. The Health Care Manager. 2017;36(3):273-81.
23. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988. 567 p.
24. Himmunngan R, Apasuwannakul N. Self efficacy theory to consumption behavior change in diabetes patients attending at Joho Community Health Center, Nakornratchasima Province. Disease Control Journal. 2011;37(3):170-8. (in Thai).
25. Ory MG, Lee Smith M, Mier N, Wernicke, MM. The science of sustaining health behavior change: the health maintenance consortium. Am J Health Behav. 2010;34(6):647-59.