A community-based prediabetes knowledge assessment among Saudi adults in Al-Ahsa region, 2018

  • Essa AlSaleh
    Postgraduate Centre for Preventive Medicine, Al-Ahsa, Saudi Arabia.
    https://orcid.org/0000-0002-5883-2075
  • Morad Alnaser
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Ali Alsalman
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Abdullah ALRamdhan
    Family Medicine Department, Health Directorate, Al-Ahsa, Saudi Arabia.
  • Husein Alsalman
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Ola Alhamrani
    Family Medicine Department, Health Directorate, Al-Ahsa, Saudi Arabia.
  • Alaa Alhamrani
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Muntadher AlSaleh
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Tahani AlEithan
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Khawla AlArfaj
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Hussain Al Sunayhir
    King Fahad Hofuf Hospital (KFHH), Al-Ahsa, Saudi Arabia.
  • Mujtaba AlSaleh
    Medical College, King Faisal University, Al-Ahsa, Saudi Arabia.

ABSTRACT

Background: Prediabetes has been considered to be a reversible condition; a modification of lifestyle and other intervention can be successfully applied during the prediabetes period to prevent the development of type 2 diabetes. The purpose of the present study was to assess knowledge of prediabetes and its risk factors for the community in the Al-Ahsa region.
Design and method: A cross-sectional community-based study was conducted in the Al-Ahsa region from mid-to-late December 2018. A sample size of 812 was determined using a single-proportion formula.
Results: Of the 812 respondents who gave consent to participate in the interview; the male to female ratio was 1.1:1. 13.2% of the respondents reported that they had diabetes. Among the respondents, 87.1% had a high level of knowledge of prediabetes, while 12.9% had low-to-moderate knowledge. 84% of males 40 years of age or older, 88.7% (384) of people with university or higher education, and 95.1% (78) of people who worked as health practitioners had high knowledge of prediabetes.Overall, there was a statistically significant association between age and prediabetes knowledge (????2 =5.006, p=0.025). Occupation also showed a significant statistical association with prediabetes knowledge (????2 =9.85, p=0.02).
Conclusion: Knowledge is considered an important factor in the prevention of prediabetes and diabetes. People in Al-Ahsa demonstrated a high level of knowledge regarding some risk factors for prediabetes. However, there were a number of deficiencies in the knowledge of prediabetes risk factors and preventive measures as well as in general knowledge of prediabetes, which may lead to a high prevalence of prediabetes and diabetes.

REFERENCES

Al-Mutairi GF, Abdul-Halim IM, Albawi AA, El-Shazly MK. Knowledge of primary health care workers regarding HbA1c as a diagnostic and monitoring test for type 2 diabetes mellitus. Greener J Med Sci 2013;3:42-52. DOI: https://doi.org/10.15580/GJMS.2013.2.012013399

International Diabetes Federation. Middle East and North Africa. Accessed: 2020 Jun 10. Available from: https://idf.org/our-network/regions-members/middle-east-and-north-africa/members/46-saudi-arabia.html

Lorga T, Aung MN, Naunboonruang P, et al. Predicting prediabetes in a rural community: A survey among the Karen ethnic community, Thasongyang, Thailand. Int J Gen Med 2012;5:219-25.

WHO. Diabetes: Fact Sheet No 312, August 2011. Accessed: 2020 Apr 21. Available from: https://www.who.int/en/news-room/fact-sheets/detail/diabetes

World Diabetes Foundation. Diabetes facts 2011. Accessed: 2020 Apr 21. Available from: http://www.worlddiabetesfoundation.org/composite-35.htm

Islam FMA, Chakrabarti R, Islam MT, et al. Prediabetes, diagnosed and undiagnosed diabetes, their risk factors and association with knowledge of diabetes in rural Bangladesh: The Bangladesh Population-based Diabetes and Eye Study. J Diabetes 2016;8:260–8. DOI: https://doi.org/10.1111/1753-0407.12294

Abdulaziz Al Dawish M, Alwin Robert A, et al. Diabetes mellitus in Saudi Arabia: A review of the recent literature. Curr Diabetes Rev 2016;12:359–68. DOI: https://doi.org/10.2174/1573399811666150724095130

Bahijri SM, Jambi HA, Al Raddadi RM, et al. The prevalence of diabetes and prediabetes in the adult population of Jeddah, Saudi Arabia – A community-based survey. PLoS One 2016;11:1–14. DOI: https://doi.org/10.1371/journal.pone.0152559

Ghoraba M, Shiddo O, Almuslmani M, et al. Prevalence of prediabetes in Family and Community Medicine Department, Security Forces Hospital, Riyadh, Saudi Arabia. Int J Med Sci Public Health 2016;5:777. DOI: https://doi.org/10.5455/ijmsph.2016.11122015277

Aldossari KK, Aldiab A, Al-Zahrani JM, et al. Prevalence of prediabetes, diabetes, and its associated risk factors among males in Saudi Arabia: A population-based survey. J Diabetes Res 2018;2018:2194604. DOI: https://doi.org/10.1155/2018/2194604

McAdam CM. Economic implications of type 2 diabetes management. Am J Manag Care 2013;19:S143-8.

Mokdad AH, Tuffaha M, Hanlon M, et al. Cost of diabetes in the Kingdom of Saudi Arabia, 2014. J Diabetes Metab 2015;6:2.

Li YF, Geiss LS, Burrows NR, et al. Awareness of prediabetes – United States, 2005-2010. Morb Mortal Wkly Rep 2013;62:209–12.

American Diabetes Association. Classification and diagnosis of diabetes. Diabetes Care 2017;40:S11-24. DOI: https://doi.org/10.2337/dc17-S005

Centers for Disease Control and Prevention (CDC). National diabetes fact sheet 2011. Atlanta: Dep Heal Hum Serv centers Dis Control Prev; 2011. Available from: https://www.cdc.gov/diabetes/pubs/pdf/methods11.pdf

Geiss LS, James C, Gregg EW, et al. Diabetes risk reduction behaviors among US adults with prediabetes. Am J Prev Med 2010;38:403–9. DOI: https://doi.org/10.1016/j.amepre.2009.12.029

Aekplakorn W, Bunnag P, Woodward M, et al. A risk score for predicting incident diabetes in the Thai population. Diabetes Care 2006;29:1872–7. DOI: https://doi.org/10.2337/dc05-2141

Tuso P. Prediabetes and lifestyle modification: time to prevent a preventable disease. Perm J 2014;18:88–93. DOI: https://doi.org/10.7812/TPP/14-002

American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2009;32:S62-7. DOI: https://doi.org/10.2337/dc09-S062

Janiszewski PM, Janssen I, Ross R. Does waist circumference predict diabetes and cardiovascular disease beyond commonly evaluated cardiometabolic risk factors? Diabetes Care 2007;30:3105–9. DOI: https://doi.org/10.2337/dc07-0945

General Authority for Statistics [Internet]. Saudi Arabia Statistics 2017. Accessed: 2020 Jun 11. Available from: https://services.stats.gov.sa:7010/ecpbi/faces/census.jsp

Koo H-C, Poh BK P, Abd Talib R. Assessment of knowledge, attitude and practice towards whole grains among children aged 10 and 11 years In Kuala Lumpur, Malaysia. Int J Food Sci Nutr Diet 2015;4:171–7.

Yimer M. Knowledge, attitude and practices of high risk populations on louse- borne relapsing fever in Bahir Dar City, North-West Ethiopia. Sci J Public Health 2014;2:15. DOI: https://doi.org/10.11648/j.sjph.20140201.13

Mainous AG, Mansoor H, Rahmanian KP, Carek PJ. Perception of risk of developing diabetes among patients with undiagnosed prediabetes: The impact of health care provider advice. Clin Diabetes 2019;37:221–6. DOI: https://doi.org/10.2337/cd18-0050

American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care 2014;37:S81–90. DOI: https://doi.org/10.2337/dc14-S081

American Diabetes Association. 10. Microvascular complications and foot care: Standards of medical care in diabetes-2018. Diabetes Care 2018;41:S105–18. DOI: https://doi.org/10.2337/dc18-S010

Gopalan A, Lorincz IS, Wirtalla C, et al. Awareness of prediabetes and engagement in diabetes risk–reducing behaviors. Am J Prev Med 2015;49:512–9. DOI: https://doi.org/10.1016/j.amepre.2015.03.007

Centers for Disease Control and Prevention (CDC). National Diabetes Statistics Report, 2017: Estimates of diabetes and its burden in the United States. Atlanta; Centers for Disease Control and Prevention; 2017.

Roper KL, Thomas AR, Hieronymus L, et al. Patient and clinician perceptions of prediabetes: A mixed-methods primary care study. Diabetes Educ 2019;45:302-14. DOI: https://doi.org/10.1177/0145721719845347

Zhuang Q, Wu L, Lu Y, et al. Awareness and intervention status of prediabetes among chinese adults: Implications from a community-based investigation. Int J Clin Exp Med 2015;8:4480–6.

Campbell TJ, Alberga A, Rosella LC. The impact of access to health services on prediabetes awareness: A population-based study. Prev Med 2016;93:7–13. DOI: https://doi.org/10.1016/j.ypmed.2016.09.008

Latt TS, Zaw KK, Ko K, et al. Measurement of diabetes, prediabetes and their associated risk factors in Myanmar 2014. Diabetes Metab Syndr Obes 2019;12:291–8. DOI: https://doi.org/10.2147/DMSO.S156270

Kirkman MS, Briscoe VJ, Clark N, et al. Diabetes in older adults. Diabetes Care 2012;35:2650–64. DOI: https://doi.org/10.2337/dc12-1801

Post RE, Mainous AG, Gregorie SH, et al The influence of physician acknowledgment of patients’ weight status on patient perceptions of overweight and obesity in the United States. Arch Intern Med 2011;171:316-21. DOI: https://doi.org/10.1001/archinternmed.2010.549

Buysschaert M, Bergman M. Definition of prediabetes. Med Clin 2011;95:289-97. DOI: https://doi.org/10.1016/j.mcna.2010.11.002

Kacker S, Saboo N, Sharma S, Sorout J. Quasi prospective comparative study on effect of yoga among prediabetics on progression of cardiovascular risk factors. Int J Yoga 2019;12:114. DOI: https://doi.org/10.4103/ijoy.IJOY_49_18

Kokic V, Kokic S, Krnic M, et al. Prediabetes awareness among Southeastern European physicians. J Diabetes Investig 2018;9:544–8. DOI: https://doi.org/10.1111/jdi.12740

Khan T, Wozniak GD, Kirley K. An assessment of medical students’ knowledge of prediabetes and diabetes prevention. BMC Med Educ 2019;19:285. DOI: https://doi.org/10.1186/s12909-019-1721-9

Saeed N, Jaffery T, Ansari FA, et al. Knowledge and perceptions about pre-diabetes amongst doctors, medical students, and patients in a tertiary care hospital of Islamabad. J Pak Med Assoc 2019;69:527–32.

Hosler AS. Prevalence of self-reported prediabetes among adults participating in a community-based health awareness program, New York State. Prev Chronic Dis 2009;6:A48.

Keck JW, Thomas AR, Hieronymus L, Roper KL. Prediabetes knowledge, attitudes, and practices at an academic family medicine practice. J Am Board Fam Med 2019;32:505–12. DOI: https://doi.org/10.3122/jabfm.2019.04.180375