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在医生提供干预期间的日常步数轨迹分析。

A trajectory analysis of daily step counts during a physician-delivered intervention.

机构信息

Division of Experimental Medicine, Department of Medicine, McGill University Health Centre, McGill University, Canada.

Division of Clinical Epidemiology, Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.

出版信息

J Sci Med Sport. 2020 Oct;23(10):962-967. doi: 10.1016/j.jsams.2020.04.010. Epub 2020 Apr 18.

Abstract

OBJECTIVES

Higher steps are associated with lower mortality and cardiovascular event rates. We previously demonstrated that tailored physician-delivered step count prescriptions successfully increased steps/day in adults with type 2 diabetes mellitus (T2DM) and/or hypertension. In the present analysis, we examined patterns of step count change and the factors that influence different responses.

DESIGN

Longitudinal observational study METHODS: Active arm participants (n=118) recorded steps/day. They received a step count prescription from their physician every 3-4 months. We computed mean steps/day and changes from baseline for sequential 30-day periods. Group-based trajectory modeling was applied.

RESULTS

Four distinct trajectories of mean steps/day emerged, distinguishable by differences in baseline steps/day: sedentary (19%), low active (40%), somewhat active (30%) and active (11%). All four demonstrated similar upward slopes. Three patterns emerged for the change in steps from baseline: gradual decrease (30%), gradual increase with late decline (56%), and rapid increase with midpoint decline (14%); thus 70% had an increase from baseline. T2DM (odd ratios [OR]: 3.7, 95% CI 1.7, 7.7) and age (OR per 10-year increment: 2, 95% CI 1.3, 2.8) were both associated with starting at a lower baseline but participants from these groups were no less likely than others to increase steps/day.

CONCLUSIONS

T2DM and older age were associated with lower baseline values but were not indicators of likelihood of step count increases. A physician-delivered step count prescription and monitoring strategy has strong potential to be effective in increasing steps irrespective of baseline counts and other clinical and demographic characteristics.

摘要

目的

较高的步数与较低的死亡率和心血管事件发生率相关。我们之前的研究表明,量身定制的医生提供的步数处方成功地增加了 2 型糖尿病(T2DM)和/或高血压成人的每日步数。在本分析中,我们检查了步数变化的模式以及影响不同反应的因素。

设计

纵向观察性研究

方法

积极组参与者(n=118)记录每日步数。他们每 3-4 个月从医生那里收到一份步数处方。我们计算了连续 30 天的每日平均步数和基线变化。应用基于群组的轨迹建模。

结果

出现了四种不同的平均步数轨迹,区别在于基线步数/天的差异:久坐(19%)、低活跃(40%)、有点活跃(30%)和活跃(11%)。所有四个轨迹都显示出相似的上升趋势。从基线变化的步数出现了三种模式:逐渐减少(30%)、逐渐增加后下降(56%)和中间点下降后快速增加(14%);因此,70%的人从基线增加。T2DM(比值比 [OR]:3.7,95%CI 1.7,7.7)和年龄(每增加 10 岁的 OR:2,95%CI 1.3,2.8)都与较低的基线值相关,但这些组的参与者增加步数/天的可能性并不低于其他参与者。

结论

T2DM 和年龄较大与较低的基线值相关,但不是增加步数的可能性的指标。医生提供的步数处方和监测策略具有很强的潜力,可以增加步数,无论基线计数和其他临床和人口统计学特征如何。

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