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1 "Shiva Borzouei"
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Original Article
Public Awareness of Early and Late Complications of Type 2 Diabetes - Application of Latent Profile Analysis in Determining Questionnaire Cut-Off Points
Nasrin Shirmohammadi, Ali Reza Soltanian, Shiva Borzouei
Osong Public Health Res Perspect. 2018;9(5):261-268.   Published online October 31, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.5.08
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  • 3 Crossref
AbstractAbstract PDF
Objectives

A questionnaire was designed to determine public understanding of early and late complications of Type 2 diabetes mellitus (T2DM).

Methods

A cross-sectional study was performed in participants who were selected using a multi-stage sampling method and a standard questionnaire of 67 questions was proposed. An expert panel selected 53 closed-ended questions for content validity to be included in the questionnaire. The reliability of the questionnaire was tested using Cronbach’s alpha coefficient giving a score of 0.84.

Results

Of the 825 participants, 443 (57.6%) were male, and 322 (41.87%) were 40 years or more. The proportion of low-, moderate- and high- awareness about T2DM and its complications was 29.26%, 62.68%, and 8.06%, respectively. Friends (56.31%) and internet and social networks (20.55%) were the 2 major sources of awareness, respectively. The medical staff (e.g., physicians) had the lowest share in the level of public awareness (3.64%) compared to other sources.

Conclusion

These results present data that shows the general population awareness of T2DM is low. Healthcare policymakers need to be effective at raising awarenes of diabetes and it should be through improved education.

Citations

Citations to this article as recorded by  
  • Healthcare Practitioners' Perspective of Prevailing Awareness on Diabetes Complications: A Questionnaire-Based Pan-India Study
    Nikhil Tandon, Piya Ballani Thakkar, Jubbin Jacob, Pramila Kalra, Nanditha Arun, Alok Kanungo, Ashish Birla, Ashish Prasad, Mayuri Talathi
    Cureus.2023;[Epub]     CrossRef
  • What Is the Optimal Cut-Off Point of the 10-Item Center for Epidemiologic Studies Depression Scale for Screening Depression Among Chinese Individuals Aged 45 and Over? An Exploration Using Latent Profile Analysis
    Hanlin Fu, Lulu Si, Ruixia Guo
    Frontiers in Psychiatry.2022;[Epub]     CrossRef
  • Classification of probable online social networking addiction: A latent profile analysis from a large-scale survey among Chinese adolescents
    Ji-Bin Li, Anise M.S. Wu, Li-Fen Feng, Yang Deng, Jing-Hua Li, Yu-Xia Chen, Jin-Chen Mai, Phoenix K.H. Mo, Joseph T.F. Lau
    Journal of Behavioral Addictions.2020; 9(3): 698.     CrossRef

PHRP : Osong Public Health and Research Perspectives