The association between sociodemographic and clinical characteristics and poor glycaemic control: a longitudinal cohort study

• Published in: Diabetic Medicine
• Main Authors: McBrien, K. A., Manns, B. J., Hemmelgarn, B. R., Weaver, R., Edwards, A. L., Ivers, N., Rabi, D., Lewanczuk, R., Braun, T., Naugler, C., Campbell, D., Saad, N., Tonelli, M.
• Other Authors: Alberta Innovates - Health Solutions
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2015
• Subjects: First Nations
• Online Access: http://dx.doi.org/10.1111/dme.13023; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fdme.13023; https://onlinelibrary.wiley.com/doi/pdf/10.1111/dme.13023

Abstract Aims People with diabetes and poor glycaemic control are at higher risk of diabetes‐related complications and incur higher healthcare costs. An understanding of the sociodemographic and clinical characteristics associated with poor glycaemic control is needed to overcome the barriers to achieving care goals in this population. Methods We used linked administrative and laboratory data to create a provincial cohort of adults with prevalent diabetes, and a measure of HbA 1c that occurred at least 1 year following the date of diagnosis. The primary outcome was poor glycaemic control, defined as at least two consecutive HbA 1c measurements ≥ 86 mmol/mol (10%), not including the index measurement, spanning a minimum of 90 days. We used multivariable Cox proportional hazards models to evaluate the association between baseline sociodemographic and clinical factors and poor glycaemic control. Results In this population‐based cohort of 169 890 people, younger age was significantly associated with sustained poor glycaemic control, with a hazard ratio ( HR ) of 3.08, 95% CI (2.79–3.39) for age 18–39 years compared with age ≥ 75 years. Longer duration of diabetes, First Nations status, lower neighbourhood income quintile, history of substance abuse, mood disorder, cardiovascular disease, albuminuria and high LDL cholesterol were also associated with poor glycaemic control. Conclusions Although our results may be limited by the observational nature of the study, the large geographically defined sample size, longitudinal design and robust definition of poor glycaemic control are important strengths. These findings demonstrate the complexity associated with poor glycaemic control and indicate a need for tailored interventions.