Department of Health Promoting Science, Sophiahemmet University, Lindstedtsvägen 8, 114 86 Stockholm, Sweden.
Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Alfred Nobels Allé 23, 141 52 Huddinge, Sweden.
Int J Environ Res Public Health. 2022 Mar 19;19(6):3667. doi: 10.3390/ijerph19063667.
This study aimed to identify distinct profiles of physical activity (PA) patterns among individuals with prediabetes or type 2 diabetes participating in a two-year PA trial and to investigate predictors of the profiles.
Data ( = 168, collected 2013-2020) from the cohort of a randomized trial aimed at increasing PA in individuals with prediabetes and type 2 diabetes were used. PA and sedentary behaviours were assessed by waist-worn ActiGraph GT1M accelerometers at baseline and at 6, 12, 18 and 24 months. Fifteen PA and sedentary variables were entered into a latent class mixed model for multivariate longitudinal outcomes. Multinominal regression analysis modelled profile membership based on baseline activity level, age, gender, BMI, disease status and group randomisation.
Two profiles of PA patterns were identified: "Increased activity" ( = 37, 22%) included participants increasing time in PA and decreasing sedentary time. "No change in activity" ( = 131, 78%) included participants with no or minor changes. "Increased activity" were younger ( = 0.003) and more active at baseline ( = 0.011), compared to "No change in activity". No other predictor was associated with profile membership.
A majority of participants maintained PA and sedentary patterns over two years despite being part of a PA intervention. Individuals improving PA patterns were younger and more active at baseline.
本研究旨在识别参与为期两年的体育活动试验的前驱糖尿病或 2 型糖尿病患者中不同的体育活动(PA)模式特征,并探讨这些特征的预测因素。
使用来自旨在增加前驱糖尿病和 2 型糖尿病患者体育活动的随机试验队列的数据(n=168,收集于 2013-2020 年)。基线和 6、12、18 和 24 个月时使用腰部佩戴的 ActiGraph GT1M 加速度计评估 PA 和久坐行为。将 15 个 PA 和久坐行为变量输入到多变量纵向结果的潜在类别混合模型中。基于基线活动水平、年龄、性别、BMI、疾病状态和组随机分组,对多变量回归分析进行模型化,以确定特征组成。
确定了两种 PA 模式特征:“活动增加”(n=37,22%)包括参与者增加 PA 时间和减少久坐时间的人。“活动无变化”(n=131,78%)包括没有或仅有轻微变化的参与者。与“活动无变化”相比,“活动增加”的参与者年龄更小(p=0.003),且基线时更活跃(p=0.011)。没有其他预测因素与特征组成有关。
尽管参与者参与了 PA 干预,但在两年内,大多数参与者保持了 PA 和久坐行为模式。改善 PA 模式的个体年龄更小,且基线时更活跃。