Is the change in longitudinal cognitive function in older adults with diabetes affected by trajectory classes of depressive symptoms?

OBJECTIVE: This study aims to identify classes based on the trajectory of depressive symptoms and to examine the impact of trajectory classes of depressive symptoms on longitudinal changes in cognitive function in older adults with diabetes. METHODS: This is a secondary data analysis of 572 older adults with diabetes using data from the 5th (2014) to 8th (2020) wave of the Korean longitudinal study of aging. Analysis of latent class growth and the effect of trajectories of depressive symptoms on cognitive function was examined using a latent growth curve model. This analysis has been found to be functional in change trajectories and in describing the direction of the trajectory. RESULTS: The trajectory of depressive symptoms was classified into four classes: low-stable (36.89%), high-decreasing (20.28%), low-increasing (18.71%), and high-persistent (24.13%). Compared with the high-persistent class, higher initial levels of cognitive function were observed in the high-decreasing and low-stable classes. Compared with the high-persistent class, a slower rate of cognitive decline was observed in the low-stable class (B = 0.410, p = .021). CONCLUSIONS: Continuous monitoring of depressive symptoms and early management of depressive symptoms for community-dwelling older adults with diabetes can help prevent the cognitive decline and delay the deterioration of cognitive function.

Sex differences in the reciprocal relationship between glycemic control and depressive symptoms among older adults with diabetes: Using a nationwide population-based sample.

AIM: As life expectancy increases worldwide, the prevalence and the disease burden of diabetes in older adults are also increasing. This study aimed to examine sex differences in the reciprocal relationship between glycemic control and depressive symptoms among older adults with diabetes by using longitudinal data at two timepoints. METHODS: Wave 1 (W1, 2016-2017) and wave 2 (W2, 2018-2019) data from the Korean Frailty and Aging Cohort Study were used. Finally, 416 older adults with diabetes who satisfied the inclusion criteria were analyzed (215 males, 201 females). The reciprocal relationship between depressive symptoms and glycosylated hemoglobin A1c (HbA1c) levels was examined using a cross-lagged panel model. RESULTS: HbA1c levels and depressive symptoms at earlier time points were the most significant factors contributing to HbA1c levels and depressive symptoms at later timepoints. The relationship between HbA1c level and depressive symptoms differed according to sex. The cross-path from depressive symptoms (W1) to HbA1c levels (W2) was positively statistically significant in males (ß = 0.18, SD = 0.05, P = 0.001). The path from HbA1c levels (W1) to depressive symptoms (W2) was positively statistically significant in females (ß = 0.12, SD = 0.06, P = 0.032). CONCLUSIONS: Early management of blood glucose levels and depressive symptoms is important in older adults with diabetes. Moreover, glycemic control through social activities in the community could be effective in relieving depressive symptoms in older females with diabetes, and managing depressive symptoms and glucose levels together could be effective in glycemic control in older males with diabetes. Geriatr Gerontol Int 2024; 24: 32-39.