Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2011
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2011
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2011
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Predicting Dietary Practice Behavior Among Type 2 Diabetics Using The Theory Of Planned Behavior And Mixed Methods Design

Authors: D.O. Omondi; M.K. Walingo; G.M. Mbagaya; L.O.A. Othuon;

Predicting Dietary Practice Behavior Among Type 2 Diabetics Using The Theory Of Planned Behavior And Mixed Methods Design

Abstract

{"references": ["M.I. Harris, \"Frequency of Blood Glucose Monitoring in Relation to\nGlycemic Control in Patients with Type II diabetes,\" Diabetes Care,\nVol.24, no.6, pp.979-982, 2001.", "A. Thanopoulou, B. Karamanos, F. Angelico, S. Assaad-Khalil, A.\nBarbato, M. Del Ben, et al. \"Nutritional Habits of Subjects with Type II\ndiabetes Mellitus in the Mediterranean Basin: Comparison with the Non-\nDiabetic Population and the Dietary Recommendations. Multi-Centre\nStudy of the Mediterranean Group for the Study of Diabetes (MGSD),\"\nDiabetologia, Vol. 47, no.3, pp. 367-376, March 2004.", "M. Peyrot, R.R. Rubin, T. Lauritzen, F.J. Snoek, D.R. Matthews and\nS.E. Skovlund, \"Psychosocial Problems and Barriers to Improved\nDiabetes Management: Results of the Cross-National Diabetes Attitudes,\nWishes and Needs (DAWN) Study,\" Diabetes Medicine, Vol. 22 no.10,\npp.1379-1385, Oct. 2005.", "R.E. Glasgow, S.E. Hampson, L.A. Strycker, and L. Ruggiero \"Personal-\nModel Beliefs and Social-Environmental Barriers Related To Diabetes\nSelf-Management,\" Diabetes Care, Vol. 20, no.4, pp. 556-561, Apr.\n1997.", "K.M. Nelson, G. Reiber and E.J Boyko, \"Diet and Exercise among\nAdults with Type II diabetes: Findings from the Third National Health\nand Nutrition Examination Survey (NHANES III),\" Diabetes Care, Vol.\n25, no.10, pp. 1722-1728, Oct. 2002", "Shimakawa T, Herrera-Acena MG, Colditz GA, Manson JE, Stampfer\nMJ, Willett WC and Stamper MJ Comparison of Diets of Diabetic and\nNondiabetic Women. Diabetes Care, 1993; 16(10):1356-1362.", "D.B. Panagiotakos, C. Pitsavos, C. Chrysohoou and C. Stefanadis, \"The\nEpidemiology of Type II diabetes Mellitus in Greek Adults: the\nATTICA study,\" Diabetes Medicine, Vol. 22, no.11, 1581-1588, ref 46,\n2005.", "J.C. Guare, R.R. Wing and A. Grant, \"Comparison of Obese NIDDM\nand Non-diabetic Women: Short- and Long-term Weight Loss,\" Obesity\nResearch, Vol. 3, no.4, pp. 329-335, Jul. 1995", "K. Gauthier-Chelle, L. Mennen, N. Arnault, V. Rigalleau, S. Hercberg\nand H. Gin, \"Comparison of the Diet of Self-Declared Diabetics with\nNon-Diabetic Patients in the SU.VI.MAX Study: Did the Diabetics\nModify Their Nutritional Behavior?\" Diabetes &Metabolism, Vol. 30,\nno.6, pp. 535-542, Dec. 2004.\n[10] Kenyatta National Hospital Diabetic, \"Manual Report (Unpublished\nwork style),\" Unpublished.\n[11] Anderson RM, Funnell MM Compliance and Adherence are\nDysfunctional Concepts in Diabetes Care. Diabetes Education, Vol. 26,\nno.4, pp.597-604, Nov/Dec, 2000.\n[12] I. Ajzen, \"The Theory of Planned Behavior,\" Organizational Behavior\nand Human Decision Processes, Vol.50, pp. 179-211, Dec. 1991.\n[13] S.L. Norris, M.M. Engelgau and K.M. Narayan, \"Effectiveness of Self\nManagement Training in Type II diabetes: A Systematic Review of\nRandomized Controlled Trials,\" Diabetes Care, Vol. 24, pp. 56 - 587,\nMarch 2001.\n[14] R.M. Anderson and M.M. Funnell, \"Theory in the Cart, Vision is the\nHorse: Reflections on Research in Diabetes Patient Education,\" Diabetic\nEducation, Vol. 25, no.6, pp.43-51, 1999.\n[15] Lysack CL and Krefting L Qualitative methods in field research: An\nIndonesian experience in community based practice. The Occupational\nTherapy Journal of Research, Vol. 14, no. 2, pp.93-110, 1994\n[16] J.W. Creswell and V.l. Plano Clark, Designing and conducting mixed\nmethods research. Thousand Oaks, CA: Sage, 2007.\n[17] Creative Research Systems (2003). The survey system: Sample size\ncalculator. Available: http://www.surveysystem.com/sscalc.htm\n[18] L. Ibironke, (Fall 2002) \"Scholarly Communication: The Use and Non-\nUse of E-Print Archives for the Dissemination of Scientific\nInformation,\" Science and Technology Librarianship. Available:\nhttp://www.istl.org/02-fall/article3.html.\n[19] R. Mugnaini, A.L. Packer and R. Meneghini, \"Comparison of scientists\nof the Brazilian Academy of Sciences and of the National Academy of\nSciences of the USA on the basis of the h-index,\" Brazilian Journal of\nMedical and Biological Research, Vol. 41, No.4, 258-262, Feb. 2008.\n[20] A.P. Field Discovering Statistics using SPSS (2nd e.d.). London: Sage,\n2005.\n[21] W.J. Creswell Research Design. Qualitative, quantitative, and mixed\nmethods approach. SAGE Publications, Inc, California, USA, 2009.\n[22] G.D. Garson (Dec 2009). Structural equation modeling. Available:\nhttp://faculty.chass.ncass.ncsu.edu/garson/Pa765/structur.htm\n[23] R.E. Schumacker and G.L. Richard A beginner-s guide to structural\nequation modeling (2nd ed.). Mahwah, N.J: Lawrence Erlbaum\nAssociates, 2004.\n[24] B. Kline Rex Principles and practice of structural equation modeling.\nNew York. Guilford Press, 1998.\n[25] S. Sutton \"Theory of planned behavior,\" in Cambridge handbook of\npsychology, health and medicine ed. A. Baum, S. Newman, J.\nWeinman, R. West, C. McManus. Cambridge: Cambridge University\nPress, 1997, pp. 177-179.\n[26] I. Ajzen and M. Fishbein Understanding Attitude and Predicting\nBehavior. Englewood Cliffs, NJ: Prentice-Hall, 1980.\n[27] M. Fishbein and I. Ajzen Belief, attitude, intention and behavior: An\nintroduction to theory and research Menlo Park: Addison-Wesley,\n1975.\n[28] L. Luzzi and A.J. Spencer \"Factors influencing the use of public dental\nservices: An application of the Theory of Planned Behavior,\" BMC\nHealth Service Research, Vol 8, no.93, 2008.\n[29] L. Johansson, K. Solvoll, G-E.A. Bj\u251c\u00a9rneboe and& C.A. Drevon,\n\"Dietary habits among Norwegian men and women,\" Scandinavian\nJournal of Nutrition, Vol.41, pp.63-70, 1997.\n[30] J.C. Loehlin Latent variables models: An introduction to factor, path,\nand structural analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum,\n1992.\n[31] D. George and P. Mallery SPSS for Windows step by step: A simple\nguide and reference. 11.0 update (4th ed.). Boston: Allyn & Bacon, 2003."]}

This study applied the Theory of Planned Behavior model in predicting dietary behavior among Type 2 diabetics in a Kenyan environment. The study was conducted for three months within the diabetic clinic at Kisii Hospital in Nyanza Province in Kenya and adopted sequential mixed methods design combing both qualitative and quantitative phases. Qualitative data was analyzed using grounded theory analysis method. Structural equation modeling using maximum likelihood was used to analyze quantitative data. The results based on the common fit indices revealed that the theory of planned behavior fitted the data acceptably well among the Type 2 diabetes and within dietary behavior {χ2 = 223.3, df = 77, p = .02, χ2/df = 2.9, n=237; TLI = .93; CFI =.91; RMSEA (90CI) = .090(.039, .146)}. This implies that the Theory of Planned Behavior holds and forms a framework for promoting dietary practice among Type 2 diabetics.

Keywords

Theory of PlannedBehavior, Dietary practice, Type 2 diabetes, Mixed Methods Design., Kenya

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 2
    download downloads 1
  • 2
    views
    1
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
2
1
Green