多发性硬化症体育活动行为干预项目随机对照试验:反应异质性和变化预测因素。

IF 2 3区 心理学 Q3 PSYCHOLOGY, CLINICAL International Journal of Behavioral Medicine Pub Date : 2025-02-01 Epub Date: 2024-02-07 DOI:10.1007/s12529-024-10265-7
Stephanie L Silveira, Robert W Motl, Brian M Sandroff, Lara A Pilutti, Gary R Cutter
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引用次数: 0

摘要

背景:我们曾报道过,一种基于社会认知理论(SCT)、通过互联网提供的行为干预措施在 6 个月的时间里增加了多发性硬化症(MS)患者通过设备测量的每天中强度体育活动(MVPA)的分钟数。本文研究了 MVPA 异质性变化的模式和预测因素。根据以往的研究,我们假设轻度多发性硬化症残疾、较少的多发性硬化症症状、较低的基线 MVPA 以及积极的 SCT 特征(如高运动自我效能)与 MVPA 的较大变化相关:方法:将多发性硬化症患者(318 人)随机分为行为干预组(159 人)或注意力/社会接触控制组(159 人),通过互联网网站进行,并辅以行为指导。人口统计学、临床、症状、行为和 SCT 数据均来自提供条件的 6 个月前,MVPA 数据来自 6 个月前和 6 个月后。我们根据瀑布图、箱形图和 Levene 统计检验了异质性。我们使用双变量相关分析和多重线性回归分析确定了每个条件下 MVPA 变化的预测因素:结果:Levene 统计表明,不同条件下 MVPA 变化的方差具有显著的统计学异质性(p = .003),而瀑布图和箱形图表明,行为干预的 MVPA 变化具有更大的异质性。在两种情况下,MVPA 变化得分都与基线 MVPA 相关(r = - .33 和 r = - .34,p = .0004 和 p = .0001),而在行为干预条件下,则与步行障碍(r = - .188,p = .047)和种族(r = .233,p = .014)相关。回归分析表明,基线 MVPA(标准化 B = - .449,p = .000002)、自我报告的步行障碍(标准化 B = - .310,p = .0008)和种族(标准化 B = .215,p = .012)解释了行为干预条件下 MVPA 变化方差的 25.6%:结论:我们提供的证据表明,步行障碍、基线 MVPA 和种族是行为干预下 MVPA 变化模式异质性的预测因素。
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Randomized Controlled Trial of the Behavioral Intervention for Physical Activity in Multiple Sclerosis Project: Response Heterogeneity and Predictors of Change.

Background: We reported that a social cognitive theory-based (SCT), Internet-delivered behavioral intervention increased device-measured minutes/day of moderate-to-vigorous physical activity (MVPA) over a 6-month period among persons with multiple sclerosis (MS). This paper examined the pattern and predictors of heterogeneity in change for MVPA. Based on previous research, we hypothesized that mild MS disability, fewer MS symptoms, lower baseline MVPA, and positive SCT characteristics (e.g., high exercise self-efficacy) would be associated with greater change in MVPA.

Method: Persons with MS (N = 318) were randomized into behavioral intervention (n = 159) or attention/social contact control (n = 159) conditions that were administered via Internet websites and supported with behavioral coaching. Demographic, clinical, symptom, behavioral, and SCT data were from before the 6-month period of delivering the conditions, and MVPA data were from before and after the 6-month period. We examined heterogeneity based on waterfall plots, box plots, and the Levene statistic. We identified predictors of MVPA change using bivariate correlation and multiple, linear regression analyses per condition.

Results: The Levene statistic indicated statistically significant heterogeneity of variances for MVPA change between conditions (p = .003), and the waterfall plots and box plots indicated greater heterogeneity in MVPA change for the behavioral intervention. MVPA change score was correlated with baseline MVPA (r =  - .33 and r =  - .34, p = .0004 and p = .0001) in both conditions and walking impairment (r =  - .188, p = .047) and race (r = .233, p = .014) in the behavioral intervention condition. The regression analysis indicated that baseline MVPA (Standardized B =  - .449, p = .000002), self-reported walking impairment (Standardized B =  - .310, p = .0008), and race (Standardized B = .215, p = .012) explained 25.6% of variance in MVPA change for the behavioral intervention condition.

Conclusion: We provide evidence for walking impairment, baseline MVPA, and race as predictors of the heterogeneity in the pattern of MVPA change with a behavioral intervention.

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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
97
期刊介绍: The International Journal of Behavioral Medicine (IJBM) is the official scientific journal of the International Society for Behavioral Medicine (ISBM). IJBM seeks to present the best theoretically-driven, evidence-based work in the field of behavioral medicine from around the globe. IJBM embraces multiple theoretical perspectives, research methodologies, groups of interest, and levels of analysis. The journal is interested in research across the broad spectrum of behavioral medicine, including health-behavior relationships, the prevention of illness and the promotion of health, the effects of illness on the self and others, the effectiveness of novel interventions, identification of biobehavioral mechanisms, and the influence of social factors on health. We welcome experimental, non-experimental, quantitative, qualitative, and mixed-methods studies as well as implementation and dissemination research, integrative reviews, and meta-analyses.
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