Zeng Na, Li Chao, Mei Huan, Wu Shuilin, Liu Chang, Wang Xiaokun, Bao Yanping
School of Public Health, Peking University, Beijing 100191, China.
National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China.
Brain Sci. 2024 Jul 31;14(8):780. doi: 10.3390/brainsci14080780.
This study analyzed China Health and Retirement Longitudinal Study data to explore the HbA1c-depression link, including depressive trajectories, while considering the mitigating impact of healthy lifestyles. Cross-lagged panel models and group-based trajectory modeling were performed to investigate the temporal relationship between HbA1c levels and depressive symptoms, as well as the depressive trajectories. Structural equation models were used to assess the mediating effects of healthy lifestyles. The mean age of the participants was 57.66 ± 9.04 years, with 53.68% being female. Analyzing 8826 participants across three waves, we observed a significant prediction of subsequent depressive symptoms by the preceding HbA1c levels (β = 0.296; < 0.001). Four distinct trajectories of depressive symptoms were distinguished: stable low, stable moderate, increasing, and stable high. Elevated HbA1c levels were associated with a higher risk of developing stable high (OR 1.12 and 95% CI 1.02-1.23), increasing (OR 1.21 and 95% CI 1.11-1.32), and stable moderate depressive symptoms (OR 1.07 and 95% CI 1.01-1.13). Engaging in two healthy life behaviors reduced stable high and increasing depressive pattern risks by 32% and 30%, respectively. Adherence to a healthy lifestyle lessened 7.2% of the impact of high HbA1c levels on the subsequent depressive symptoms. These findings highlight the potential benefits of incorporating adequate sleep and light physical activities, which might reduce the adverse impact of elevated HbA1c levels on depressive symptoms.
本研究分析了中国健康与养老追踪调查数据,以探讨糖化血红蛋白(HbA1c)与抑郁症之间的联系,包括抑郁轨迹,同时考虑健康生活方式的缓解作用。采用交叉滞后面板模型和基于群体的轨迹模型来研究HbA1c水平与抑郁症状之间的时间关系以及抑郁轨迹。使用结构方程模型评估健康生活方式的中介作用。参与者的平均年龄为57.66±9.04岁,其中53.68%为女性。通过对8826名参与者三个调查波次的数据进行分析,我们观察到先前的HbA1c水平对后续抑郁症状有显著预测作用(β = 0.296;P<0.001)。区分出四种不同的抑郁症状轨迹:稳定低水平、稳定中等水平、上升型和稳定高水平。HbA1c水平升高与出现稳定高水平(比值比[OR]为1.12,95%置信区间[CI]为1.02 - 1.23)、上升型(OR为1.21,95%CI为1.11 - 1.32)和稳定中等水平抑郁症状(OR为1.07,95%CI为1.01 - 1.13)的风险较高相关。采取两种健康生活行为分别使稳定高水平和上升型抑郁模式的风险降低了32%和30%。坚持健康生活方式减轻了7.2%的高HbA1c水平对后续抑郁症状的影响。这些发现凸显了保证充足睡眠和进行轻度体育活动的潜在益处,这可能会降低HbA1c水平升高对抑郁症状的不利影响。