Al-Ozairi Abdullah, Irshad Mohammad, Alsaraf Husain, AlKandari Jumana, Al-Ozairi Ebaa, Gray Stuart R
Department of Psychiatry, Faculty of Medicine, Kuwait University, Safat, Kuwait.
Amiri Hospital, Ministry of Health, Kuwait City, Kuwait.
Psychol Res Behav Manag. 2024 Jul 19;17:2717-2725. doi: 10.2147/PRBM.S459097. eCollection 2024.
This study aimed to investigate the association of physical activity and sleep metrics, measured via wrist-worn accelerometers, with depression in people with type 1 diabetes.
People with type 1 diabetes were recruited from the Dasman Diabetes Institute in Kuwait and were invited to wear a wrist-worn accelerometer device for 7 days. Mean physical activity (overall acceleration), inactivity, light activity, moderate activity, vigorous activity, the distribution of physical activity intensity (intensity gradient), sleep duration and sleep efficiency were quantified from the accelerometer data. The associations of these metrics with depression were investigated using multiple linear regression.
A total of 551 people with type 1 diabetes (age 33.1 (9.5) years) were included. Overall physical activity (B = -0.09, CI = -0.14 to -0.04), moderate intensity activity (B = -0.02, CI = -0.02 to -0.01), vigorous intensity activity (B = -0.16, CI = -0.27 to -0.05), and the intensity gradient (B = -2.11, CI = -3.51 to -0.72) were negatively associated with depression score (p < 0.01) and these associations remain significant even after adjustment for age, sex, diabetes duration, and BMI. However, sleep duration and efficiency were not associated with depression. After mutual adjustment overall physical activity (B = -0.07, CI = -0.12 to -0.01), but not the intensity gradient (B = -0.90, CI = -2.47 to 0.68), remained associated with depression.
Overall, moderate and vigorous physical activity, and the intensity gradient were associated with lower symptoms of depression. Overall physical activity, rather than the distribution of activity intensity, appears more important in depression. This information can help guide physical activity interventions to improve depression in people with type 1 diabetes.
本研究旨在调查通过腕部佩戴的加速度计测量的身体活动和睡眠指标与1型糖尿病患者抑郁症之间的关联。
从科威特的达斯曼糖尿病研究所招募1型糖尿病患者，并邀请他们佩戴腕部加速度计设备7天。根据加速度计数据对平均身体活动（总体加速度）、不活动、轻度活动、中度活动、剧烈活动、身体活动强度分布（强度梯度）、睡眠时间和睡眠效率进行量化。使用多元线性回归研究这些指标与抑郁症之间的关联。
共纳入551名1型糖尿病患者（年龄33.1（9.5）岁）。总体身体活动（B = -0.09，CI = -0.14至-0.04）、中度强度活动（B = -0.02，CI = -0.02至-0.01）、剧烈强度活动（B = -0.16，CI = -0.27至-0.05）和强度梯度（B = -2.11，CI = -3.51至-0.72）与抑郁评分呈负相关（p < 0.01），即使在调整年龄、性别、糖尿病病程和BMI后，这些关联仍然显著。然而，睡眠时间和效率与抑郁症无关。相互调整后，总体身体活动（B = -0.07，CI = -0.12至-0.01）与抑郁症相关，但强度梯度（B = -0.90，CI = -2.47至0.68）与抑郁症无关。
总体而言，中度和剧烈身体活动以及强度梯度与较低的抑郁症状相关。在抑郁症方面，总体身体活动而非活动强度分布似乎更为重要。这些信息有助于指导身体活动干预措施，以改善1型糖尿病患者的抑郁症。
