Rodrigues Filipe, Teixeira Diogo
ESECS, Polytechnique of Leiria, Leiria, Portugal.
Life Quality Research Center (CIEQV), Rio Maior, Portugal.
Percept Mot Skills. 2023 Oct;130(5):2123-2138. doi: 10.1177/00315125231188240. Epub 2023 Jul 9.
In this study, we aimed to examine empirically the Physical Activity Adoption and Maintenance model (PAAM). We collected data on these variables at baseline (T0) and 6-months later (T1). We recruited 119 participants (42 male, 77 female) aged 18-81 years old ( = 44.89, = 12.95). who reported, at baseline, that they exercised an average of 3.76 days per week ( = 1.33) in training periods lasting 15-60 minutes ( = 38.69; = 23.28). We conducted hierarchical multiple regression analysis to test the association between each determinant (intentions, habits, and frequency) and future exercise adherence. We tested four models by entering blocks of predictors according to PAAM assumptions. The variance change () between the first and fourth models (Δ = .391) was statistically significant, showing that the fourth model accounted for 51.2% of variance for future exercise adherence, F (6, 112) = 21.631, < .001, = .73, adjusted = .512. Exercise intention at T1 maintained its significant association ( = .021) with exercise frequency at T1 in all tested models. Exercise frequency at T0 was the most significant predictor ( < .01) of future exercise adherence, with past experience the second most significant predictor ( = .013). Interestingly, exercise habits at T1 and T0 did not predict exercise frequency at T1 in the fourth model. Among the variables we studied, having constantly high exercise intentions and high regular exercise frequency are significantly associated with maintaining or increasing regular future exercise behavior.
在本研究中,我们旨在通过实证检验身体活动采纳与维持模型(PAAM)。我们在基线期(T0)和6个月后(T1)收集了这些变量的数据。我们招募了119名年龄在18 - 81岁之间的参与者(男性42名,女性77名)(平均年龄 = 44.89岁,标准差 = 12.95岁)。这些参与者在基线期报告称,在持续15 - 60分钟的训练期间,他们平均每周锻炼3.76天(标准差 = 1.33)(平均时长 = 38.69分钟;标准差 = 23.28分钟)。我们进行了分层多元回归分析,以检验每个决定因素(意图、习惯和频率)与未来运动坚持之间的关联。我们根据PAAM假设,通过输入预测变量块来测试四个模型。第一个模型和第四个模型之间的方差变化(ΔR²)具有统计学意义(ΔR² = 0.391),表明第四个模型解释了未来运动坚持方差的51.2%,F(6, 112) = 21.631,p < 0.001,R² = 0.73,调整后R² = 0.512。在所有测试模型中,T1时的运动意图与T1时的运动频率保持显著关联(β = 0.021)。T0时的运动频率是未来运动坚持的最显著预测因素(p < 0.01),过去的经验是第二显著的预测因素(β = 0.013)。有趣的是,在第四个模型中,T1和T0时的运动习惯并未预测T1时的运动频率。在我们研究的变量中,持续保持较高的运动意图和较高的规律运动频率与维持或增加未来规律运动行为显著相关。