Can we identify who will adhere to long-term physical activity? Signal detection methodology as a potential aid to clinical decision making.
Can we identify who will adhere to long-term physical activity? Signal detection methodology as a potential aid to clinical decision making.
复制标题
我们能否确定哪些人会坚持长期的体力活动？
DOI：
10.1037//0278-6133.16.4.380
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Ahn,D
中科院分区：
文献类型：
--
作者：
King,AC;Kiernan,M;Oman,RF;Kraemer,HC;Hull,M;Ahn,D
使用信号检测方法来确定269名年龄在50-65岁之间的健康，最初久坐不动的成年人长期锻炼坚持性的最佳预测因素组合。受教育程度较低的人被分配到更高或更低强度的监督家庭锻炼，并且在基线时比其他人压力更小，健康程度更低，在第二年成功坚持的可能性最大。超重的人被分配到一个基于团体的锻炼计划是最不可能成功的2年后。短期（1年）依从性的预测因子通常与2年依从性的预测因子相似。信号检测分析可能有助于识别有依从性不足风险的人群亚组，这些人群随后可能成为干预的目标。
Signal detection methodology was used to identify the best combination of predictors of long-term exercise adherence in 269 healthy, initially sedentary adults ages 50–65 years. Less educated individuals who were assigned to supervised home-based exercise of either higher or lower intensity and who were less stressed and less fit at baseline than other individuals had the greatest probability of successful adherence by the 2nd year. Overweight individuals assigned to a group-based exercise program were the least likely to be successful 2 years later. Predictors of short-term (1-year) adherence were generally similar to predictors of 2-year adherence. Signal detection analysis may be useful for identifying subgroups of people at risk for underadherence who subsequently might be targeted for intervention.