The growing cases of type 2 diabetes mellitus is a concerning growth worldwide. The study used, identified 675 usable participants from the CODEC study. The study analysed the association between midpoint of sleep, most active 30-minutes of continuous physical activity timing and glycated hemoglobin. The main tools used for data analysis was a GENEActiv accelerometer, and statistical analysis was conducted through SPSS (version 26). To analyse data, a participant needed at least 16-hours of clean data, over a 24-hour period. The results identified no significant difference between midpoint of sleep, physical activity timing and HbA1c. However, there was a significant difference in examining age and sleep (p = .012), alongside age and physical activity timing (p = .010). Furthermore, when splitting the age groups (overs 60s vs under 60s), it resulted in no significant. There is clear evidence that more research needs to be conducted