Knowledge of diabetes and its determinants: a cross-sectional study among adults in a Japanese community

Inadequate diabetes knowledge is associated with poor glycemia control in patients with type 2 diabetes

OBJECTIVE

To identify the association between glycemia control with level of diabetes knowledge, diabetes education, and lifestyle variables in patients with type 2 diabetes.

DESIGN

Cross-sectional analytical study. SITE: Clinics of the Mexican Institute of Social Security (IMSS), Mexico.

PARTICIPANTS

Patients with type 2 diabetes.

MAIN MEASUREMENTS

Glycated hemoglobin (HbA1c), glucose, and lipid profile levels were measured from fasting venous blood samples. Assessment of disease knowledge was performed using the Diabetes Knowledge Questionnaire (DKQ-24). Systolic and diastolic blood pressure was measured. Weight and abdominal circumference were measured, as well as body composition using bioimpedance. Sociodemographic, clinical, and lifestyle variables were obtained.

RESULTS

A total of 297 patients were included, sixty-seven percent (67%) were women with a median of six years since the diagnosis of diabetes. Only 7% of patients had adequate diabetes knowledge, and 56% had regular knowledge. Patients with adequate diabetes knowledge had a lower body mass index (p=0.016), lower percentage of fat (p=0.008), and lower fat mass (p=0.018); followed a diet (p=0.004) and had received diabetes education (p=0.002), and to obtain information about their illness (p=0.001). Patients with low levels of diabetes knowledge had a higher risk of HbA1c≥7% (OR: 4.68; 95% CI: 1.48,14.86; p=0.009), as well as those who did not receive diabetes education (OR: 2.17; 95% CI: 1.21-3.90; p=0.009) and those who did not follow a diet (OR: 2.37; 95% CI: 1.01,5.55; p=0.046).

CONCLUSION

Inadequate knowledge of diabetes, lack of diabetes education, and dietary adherence are associated with poor glycemia control in patients with diabetes.

Factor structure of the diabetes knowledge questionnaire and the assessment of the knowledge of risk factors, causes, complications, and management of diabetes mellitus: A national population-based study in Singapore

This study evaluated the knowledge of diabetes mellitus and predictors of the level of diabetes knowledge among the general public of Singapore. Confirmatory factor analysis and exploratory factor analysis were used to evaluate the fit of different factor models for the diabetes knowledge questionnaire. Multiple linear regressions were performed to determine the sociodemographic characteristics associated with diabetes knowledge. The final factor model identified three domains for diabetes knowledge: general knowledge, diabetes specific knowledge and causes of diabetes, and complications of untreated diabetes. Overall knowledge scores were 23.8 ± 2.4 for general diabetes knowledge, 2.3 ± 0.8 for diabetes specific knowledge, 2.3 ± 1.2 for causes, and 5.2 ± 1.2 for complications of untreated diabetes. Patients with diabetes were more knowledgeable than adults without diabetes in the population. While the general public in Singapore has adequate knowledge of diabetes, misconceptions were identified in both groups which underscores the need to tailor specific educational initiatives to reduce these diabetes knowledge gaps.

Sick leave due to musculoskeletal pain: determinants of distinct trajectories over 1 year

Purpose

This study aimed to identify sub-groups of workers with different trajectories of sick leave due to musculoskeletal pain over 1 year, and to investigate the extent to which the identified trajectories are associated with personal, occupational, lifestyle, and pain-related factors at baseline.

Methods

Data on 981 blue- and white-collar workers were analyzed in the DPHACTO cohort (2012–2014). The number of days on sick leave due to pain was reported using text messages at 4-week intervals across 1 year. Latent class growth analysis was used to distinguish sub-groups with different trajectories of sick leave. A web-based questionnaire at baseline was used to assess personal, occupational (physical and psychosocial), lifestyle, and pain-related factors. Multinomial regression models were constructed to determine associations between baseline factors and trajectories of sick leave (referencing no sick leave), with adjustment for potential confounders.

Results

Four distinct sub-groups were identified, with trajectories of sick leave due to pain ranging from no sick leave (prevalence 76%; average 0.5 days/year) to some days and increasing sick leave due to pain over 1 year (2%; 89 days/year). The increasing trajectory of sick leave was associated with higher perceived physical exertion, more time in manual work, less social community and influence at work, less leisure-time physical activity, smoking, and more severe symptoms (e.g., multisite pain, low back pain intensity, and pain interference).

Conclusions

We identified four distinct trajectories of sick leave due to musculoskeletal pain. The sub-group with increasing sick leave due to pain was associated with several modifiable physical and psychosocial factors at work and outside work, which may have implications for prevention.

Electronic supplementary material

The online version of this article (10.1007/s00420-019-01447-y) contains supplementary material, which is available to authorized users.