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Measuring group and individual relationship between patterns in sedentary behaviour and glucose in type 2 diabetes adults
Author(s) -
McMillan Kathryn A,
Paing Aye C,
Kirk Alison F,
Hewitt Allan,
MacRury Sandra,
Collier Andrew,
Chastin Sebastien FM
Publication year - 2020
Publication title -
practical diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.205
H-Index - 24
eISSN - 2047-2900
pISSN - 2047-2897
DOI - 10.1002/pdi.2254
Subject(s) - medicine , type 2 diabetes , diabetes mellitus , sedentary lifestyle , continuous glucose monitoring , regression analysis , linear regression , physical activity , endocrinology , demography , physical therapy , type 1 diabetes , machine learning , sociology , computer science
The aim of this study was to explore the relationship between patterns in sedentary behaviour and glucose in adults with type 2 diabetes. Thirty‐seven adults with type 2 diabetes managed with diet and/or anti‐diabetes medication (not insulin) were recruited. Participants wore an activPAL accelerometer and FreeStyle Libre flash glucose monitor for continuous measurement of activity and glucose for 24 hours/day for three to 14 days while documenting sleep, food and medication. The relationship between daily patterns of sedentary behaviour and sedentary breaks with glucose was investigated using correlation analysis. Regression analysis was used to investigate these relationships at an individual level. Participants (mean age 62.8±10.5 years, BMI 29.6±6.8kg/m 2 ) spent 64% of their day sedentary, 44.7% of sedentary bouts were 30–60 minutes in duration and mean bout duration was 47.2 minutes. No association between mean glucose and sedentary proportion (total sedentary time) was identified. Mean glucose and glucose standard deviation were positively correlated with sedentary bout duration (both p<0.05). Individual regression analysis showed increased sedentary time is associated with increased mean glucose in 25 (68%) of the participants, with a negative association being shown in 12 (32%) of the participants. In analysis of the whole group, sedentary bout duration but not sedentary proportion was associated with mean glucose and glucose variability. Individual regression analysis identified a different relationship pattern for the majority of participants. This is the first study to identify an individualised response to activity behaviour and highlights the importance of conducting individual analysis when using continuous measurement methods.