King A C, Kiernan M, Oman R F, Kraemer H C, Hull M, Ahn D
Department of Health Research and Policy, Stanford University School of Medicine, Palo Alto, California 94304-1583, USA.
Health Psychol. 1997 Jul;16(4):380-9. doi: 10.1037//0278-6133.16.4.380.
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.
信号检测方法被用于识别269名年龄在50 - 65岁、健康且最初久坐不动的成年人长期运动坚持情况的最佳预测因素组合。受教育程度较低的个体被分配到高强度或低强度的居家监督运动组，与其他个体相比，他们在基线时压力较小且身体状况较差，到第二年成功坚持运动的可能性最大。被分配到团体运动项目的超重个体在两年后成功的可能性最小。短期（1年）坚持情况的预测因素通常与两年坚持情况的预测因素相似。信号检测分析可能有助于识别运动坚持不足风险人群的亚组，随后可针对这些亚组进行干预。
