Nokes Kathleen M, Sokhela Dudu G, Orton Penelope M, Samuels William Ellery, Phillips J Craig, Tufts Kimberly Adams, Perazzo Joseph D, Chaiphibalsarisdi Puangtip, Portillo Carmen, Schnall Rebecca, Hamilton Mary Jane, Dawson-Rose Carol, Webel Allison R
International Nursing Network for HIV Research, Durban University of Technology, South Africa.
Department of Nursing, Durban University of Technology, South Africa.
Clin Nurs Res. 2024 Mar;33(2-3):165-175. doi: 10.1177/10547738241231626. Epub 2024 Feb 16.
To determine if there were differences between the subjective and objective assessments of physical activity while controlling for sociodemographic, anthropometric, and clinical characteristics.
SETTING/SAMPLE: A total of 810 participants across eight sites located in three countries.
Subjective instruments were the two subscales of Self-efficacy for Exercise Behaviors Scale: Making Time for Exercise and Resisting Relapse and Patient-Reported Outcomes Measurement Information System, which measured physical function. The objective measure of functional exercise capacity was the 6-minute Walk Test.
Both univariate and multivariant analyses were used.
Physical function was significantly associated with Making Time for Exercise (β = 1.76, = .039) but not with Resisting Relapse (β = 1.16, = .168). Age (β = -1.88, = .001), being employed (β = 16.19, < .001) and race (βs = 13.84-31.98, < .001), hip-waist ratio (β = -2.18, < .001), and comorbidities (β = 7.31, < .001) were significant predictors of physical functioning. The model predicting physical function accounted for a large amount of variance (adjusted = .938). The patterns of results predicting functional exercise capacity were similar. Making Time for Exercise self-efficacy scores significantly predicted functional exercise capacity (β = 0.14, = .029), and Resisting Relapse scores again did not (β = -0.10, = .120). Among the covariates, age (β = -0.16, < .001), gender (β = -0.43, < .001), education (β = 0.08, = .026), and hip-waist ratio (β = 0.09, = .034) were significant. This model did not account for much of the overall variance in the data (adjusted = .081). We found a modest significant relationship between physical function and functional exercise capacity ( = 0.27).
Making Time for Exercise Self-efficacy was more significant than Resisting Relapse for both physical function and functional exercise capacity. Interventions to promote achievement of physical activity need to use multiple measurement strategies.
在控制社会人口统计学、人体测量学和临床特征的同时,确定身体活动的主观评估与客观评估之间是否存在差异。
设置/样本:来自三个国家八个地点的810名参与者。
主观工具为运动行为自我效能量表的两个子量表:为运动腾出时间和抵制复发,以及患者报告结局测量信息系统,用于测量身体功能。功能性运动能力的客观测量方法是6分钟步行试验。
采用单变量和多变量分析。
身体功能与为运动腾出时间显著相关(β = 1.76,P = 0.039),但与抵制复发无关(β = 1.16,P = 0.168)。年龄(β = -1.88,P = 0.001)、就业情况(β = 16.19,P < 0.001)、种族(β值 = 13.84 - 31.98,P < 0.001)、腰臀比(β = -2.18,P < 0.001)和合并症(β = 7.31,P < 0.001)是身体功能的显著预测因素。预测身体功能的模型解释了大量的方差(调整后R² = 0.938)。预测功能性运动能力的结果模式相似。为运动腾出时间的自我效能量表得分显著预测了功能性运动能力(β = 0.14,P = 0.029),而抵制复发得分则不然(β = -0.10,P = 0.120)。在协变量中,年龄(β = -0.16,P < 0.001)、性别(β = -0.43,P < 0.001)、教育程度(β = 0.08,P = 0.026)和腰臀比(β = 0.09,P = 0.034)具有显著性。该模型并未解释数据中的大部分总体方差(调整后R² = 0.081)。我们发现身体功能与功能性运动能力之间存在适度的显著关系(R = 0.27)。
对于身体功能和功能性运动能力而言,为运动腾出时间的自我效能比抵制复发更为显著。促进身体活动实现的干预措施需要使用多种测量策略。