Cancer Prevention Research Center, University of Rhode Island, Kingston, RI 02881, USA.
J Health Psychol. 2010 Mar;15(2):205-14. doi: 10.1177/1359105309345555.
This study was designed to assess if there are consistent treatment, stage, severity, effort and demographic effects which predict long-term changes across the multiple behaviors of smoking, diet and sun exposure. A secondary data analysis integrated data from four studies on smoking cessation (N = 3927), three studies on diet (N = 4824) and four studies on sun exposure (N = 6465). Across all three behaviors, behavior change at 24 months was related to treatment, stage of change, problem severity and effort effects measured at baseline. There were no consistent demographic effects. Across multiple behaviors, long-term behavior changes are consistently related to four effects that are dynamic and open to change. Behavior changes were not consistently related to static demographic variables. Future intervention research can target the four effects to determine if breakthroughs can be produced in changing single and multiple behaviors.
本研究旨在评估是否存在一致的治疗、阶段、严重程度、努力和人口统计学效应，这些效应可以预测吸烟、饮食和阳光暴露这多种行为的长期变化。一项二次数据分析整合了四项关于戒烟（N=3927）、三项关于饮食（N=4824）和四项关于阳光暴露（N=6465）的研究的数据。在所有三种行为中，24 个月时的行为改变与基线时测量的治疗、改变阶段、问题严重程度和努力效应有关。没有一致的人口统计学效应。在多种行为中，长期的行为变化与四个动态且可改变的效应一致相关。行为变化与静态人口统计学变量不一致相关。未来的干预研究可以针对这四个效应进行研究，以确定是否可以在改变单一和多种行为方面取得突破。
