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Observational Study
Copyright ©The Author(s) 2025.
World J Diabetes. Sep 15, 2025; 16(9): 105138
Published online Sep 15, 2025. doi: 10.4239/wjd.v16.i9.105138
Table 1 Description and psychometrics of study questionnaires[23-37]
Number
Domain
Description
Psychometrics
1Sociodemographic and clinical data24 items, e.g., age, gender, ethnicity, blood pressure, body weight, diabetes complications, etcNot applicable
2Laboratory data8 specific laboratory test results, e.g. fasting glucose, fasting lipids, HbA1cNot applicable
3Self-careThere are several versions of Summary of Diabetes Self-care Activities scale. It was developed by Toobert et al[23]. The self-care activities of patients with diabetes included diet, physical activity, blood glucose self-monitoring, foot care, smoking, and medication adherence. The 10-item version (excluding smoking and medication adherence) was validated in Malaysia by Bujang et al[24]. The version used in this study had 11 items (five diet items instead of four)Cronbach’s α of subscales varied between 0.651 and 0.905 as reported by Bujang et al[24] (based on 10-item version)
4Self-efficacyDiabetes Management Self Efficacy Scale-15, a 15-item scale measuring the confidence of respondents in their ability to carry out actions that promote diabetes management. It has been validated in the United Kingdom by Sturt et al[25]. This scale was a shortened version of the original 20-item version developed by Bijl et al[26]No prior validation had been published from Malaysia
5Health knowledgeMichigan Diabetes Knowledge Test-14 was developed by Fitzgerald et al[27]. Some versions include another 9 items on insulin use (these were not included in this study). Threshold of adequate diabetes knowledge is a score ≥ 7Cronbach’s α = 0.702 as reported by Al-Qazaz et al[28]
6Health literacyHealth literacy is the ability to access, read, understand, and use health information to make appropriate healthcare decisions and follow instructions for treatment. Malaysian version of Health Literacy Survey is a shorter 18-item version developed from the European Health Literacy Survey[29]. Threshold for limited health literacy was set at transformed health literacy score ≤ 33 (hence, sufficient or excellent level is > 33)Cronbach’s α = 0.906 as reported by Mohamad et al[30]
7Medication adherenceMalaysia Medication Adherence Assessment Tool is a 12-item scale developed by Hatah et al[31]. Score ≥ 54 was considered as adherenceCronbach’s α = 0.910 as reported by Hatah et al[31]
8Diabetes distressDiabetes Distress Scale is a 17-item scale assessing diabetes-related emotional distress. It was developed by Polonsky et al[32]. A mean item score of ≥ 3 was considered a level of distress worthy of clinical attention. Four subscales can be computed (emotional burden, physician distress, regimen distress, and interpersonal distress)[33]Cronbach’s α for Malay version is 0.94 as reported by Chew et al[34]. Cronbach’s α for English version is 0.92 as reported by Chin et al[35]
9DepressionPatient health questionnaire is a 9-item scale (PHQ-9) based on the diagnostic and statistical manual of mental disorders IV that aims to measure the level of depression. It was developed by Kroenke et al[36]. PHQ-9 score ≥ 10 was indicative of moderate levels of depression. Major depression can be diagnosed if the following criteria are satisfied: (1) Item 1 or item 2 scores ≥ 2; and (2) Five items with the following scoring: Items 1-8 scores ≥ 2 or item 9 score ≥ 1Cronbach’s α = 0.67 as reported by N Azah et al[37]
Table 2 Sociodemographic data of study participants
Variables
Frequency (%)
Age group (n = 100)
< 5016 (16.0)
50-5927 (27.0)
≥ 6057 (57.0)
Gender (n = 100)
Male51 (51.0)
Female49 (49.0)
Ethnic group (n = 100)
Malay20 (20.0)
Chinese33 (33.0)
Indian45 (45.0)
Others2 (2.0)
Education (n = 98)
Less than form 5154 (55.1)
Form 5 or above44 (44.9)
Income2 (n = 97)
B4089 (91.8)
M40 or T208 (8.2)
Table 3 Achievement of clinical audit criteria among study participants
Variables
Frequency (%)
Current smoking (n = 100)13 (13.0)
Central obesity1 (n = 97)78 (80.4)
Controlled BP2 (n = 100)38 (38.0)
Good glycemic control3 (n = 99)43 (43.4)
CKD stage 3 and above4 (n = 100)15 (15.0)
Optimal LDL-C level5 (n = 97)41 (42.3)
Urine proteinuria or microalbuminuria (n = 89)28 (31.5)
Statin use (n = 100)77 (77.0)
Table 4 Statistical data of key variables

Measurement or questionnaire
Cronbach’s α
mean ± SD (range)
Number (%) at specific threshold1
Association with sociodemographic data, mean ± SD
Diabetes knowledge (n = 99)MDKT-140.5647.3 ± 2.5 (1-13)Adequate knowledge: 59 (59.6)Higher MDKT score among patients with education at form 5 or above: 8.3 (2.4) vs 6.5 (2.4), P < 0.001
Health literacy (n = 96)HLS-M-Q180.904True score: 54.9 ± 9.7 (26.0-71.0); Transformed score: 38.1 ± 6.7 (18.1-49.3)Sufficient/excellent health literacy: 77 (80.2)Lower HLS score among Chinese patients compared with other ethnic groups: 51.5 (10.5) vs 56.4 (8.9), P = 0.021
Self-efficacy (n = 100)DMSES-150.878110.6 ± 26.0 (30-150)Not applicableNo association with sociodemographic data
Self-care (n = 98)SDSCA-110.60130.7 ± 13.3 (7-64)Not applicableHigher SDSCA score among patients with education at form 5 or above: 33.6 (14.3) vs 28.1 (11.4), P = 0.045
Medication adherence (n = 100)MyMAAT-120.90950.8 ± 9.3 (15-60)Adherent: 51 (51.0)MyMAAT score higher in those aged ≥ 60 vs those aged < 60: 52.6 (8.6) vs 48.5 (9.8), P = 0.027
Table 5 Correlation among self-care, diabetes knowledge, glycemic control, health literacy, self-efficacy, and medication adherence

Diabetes knowledge
Glycemic control
Health literacy
Self-efficacy
Medication adherence
Self-care0.16 (0.128)0.06 (0.565)0.31 (0.003)0.49 (< 0.001)0.37 (< 0.001)
Self-care (diet subscale)0.07 (0.494)-0.03 (0.736)0.15 (0.135)0.32 (0.001)0.41 (< 0.001)
Diabetes knowledge0.07 (0.495)0.31 (0.002)0.21 (0.038)0.02 (0.827)
Glycemic control-0.16 (0.125)-0.01 (0.898)0.09 (0.376)
Health literacy0.55 (< 0.001)0.13 (0.197)
Self-efficacy0.11 (0.286)