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Alsaidan AA, Thirunavukkarasu A, Alhassan HH, Bin Ahmed IA, Alnasiri AS, Alhirsan WM, Alazmi NNM, Alkhlaf AK, Alderbas JM, Alkhaldi MA. Evaluation of Self-Management Behaviors and Its Correlation with the Metabolic Syndrome among the Type 2 Diabetes Mellitus Patients of Northern Saudi Arabia. J Clin Med 2023; 13:118. [PMID: 38202125 PMCID: PMC10779580 DOI: 10.3390/jcm13010118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Self-management behavior among diabetes patients is essential to monitor blood sugar levels, make necessary lifestyle changes, and help patients reduce their risk of complications from diabetes. We assessed the prevalence of metabolic syndrome (MS) and its association with self-management behavior and sociodemographic characteristics among 310 patients with type 2 diabetes mellitus (T2DM) attending different diabetes care centers in northern Saudi Arabia. We evaluated the self-management behaviors of patients with T2DM using a validated Arabic version of the Summary of Diabetes Self-Care Activities Scale. Regarding MS, we applied the National Cholesterol Education Program (NCEP) Adult Treatment Plan-3 (ATP-3) guidelines. A logistic regression analysis was used to identify the predictors of MS. We found that more than one-third (36.5%) of patients had MS according to the NCEP ATP-3 criteria. The prevalence of MS was significantly associated with unsatisfactory self-management behaviors. Regarding sociodemographic predictors for MS, we found a significant association between gender (ref: female: Adjusted OR (AOR) = 1.89, 95%CI = 1.17-2.95, p = 0.007) and body mass index (ref.: normal range: AOR = 2.98, 95%CI = 1.31-5.07, p = 0.003). Our findings suggest a tailor-made multifaceted intervention to improve the self-management behaviors of T2DM patients, which, in turn, can reduce MS.
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Affiliation(s)
- Aseel Awad Alsaidan
- Department of Family and Community Medicine, College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia;
| | - Ashokkumar Thirunavukkarasu
- Department of Family and Community Medicine, College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia;
| | - Hassan H. Alhassan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia;
| | - Ibrahim Abdullah Bin Ahmed
- Department of Family Medicine, College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia;
| | - Anas Salem Alnasiri
- King Abdulaziz Specialist Hospital, Ministry of Health, Sakaka 72345, Saudi Arabia;
| | - Wejdan Madallah Alhirsan
- College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia; (W.M.A.); (N.N.M.A.); (A.K.A.); (M.A.A.)
| | - Nouf Nashmi M. Alazmi
- College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia; (W.M.A.); (N.N.M.A.); (A.K.A.); (M.A.A.)
| | - Abdalaziz Khaled Alkhlaf
- College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia; (W.M.A.); (N.N.M.A.); (A.K.A.); (M.A.A.)
| | - Jumanah Mohammed Alderbas
- College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia; (W.M.A.); (N.N.M.A.); (A.K.A.); (M.A.A.)
| | - Motaz Abdulsalam Alkhaldi
- College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia; (W.M.A.); (N.N.M.A.); (A.K.A.); (M.A.A.)
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