The influence of CLC systems on quality-of-life factors is complex. This study investigates the dynamic relationship between diabetes distress and perceived technology burden in CLC users over a 26-wk period. The study utilized data from clinical trial NCT03563313, in which individuals with T1D used CLC systems. Diabetes distress and technology burden were assessed at three-time points: baseline (wk 0), mid-study (wk 13), and study end (wk 26). Cross-lagged panel models were tested in structural equations to explore the temporal dynamics between diabetes distress and technology burden throughout the research. The structural equation model shown in Figure 1 demonstrated a good fit to the data, with a non-significant chi-square (p = 0.18), Comparative Fit Index of 0.99, Tucker-Lewis Index of 0.98, and Root Mean Square Error of Approximation of 0.07. The model and significant autoregressive and cross-lagged paths indicate that increases in perceived technology burden are associated with subsequent increased diabetes distress. These results show that rising technology burden from CLC predicts higher diabetes distress, impacting life quality and CLC continuation.
M. Ganjiarjenaki: None. A. Fernandes Moura B Batista: None. L. Gonder-Frederick: None.
