Grounded in the communicative ecology model of successful aging (CEMSA), this study examined how social messages individuals encounter about age predicted efficacy regarding aging. Data from N = 283 middle-aged and older American adults were analyzed via path analyses. Explicit messages about aging, the presence of positive and negative role models for aging, and the degree to which intergenerational interaction was experienced as accommodative and nonaccommodative predicted how participants themselves communicated about aging. Having positive role models and quality of intergenerational interaction also predicted self-reports of efficacy related to aging.

中文翻译：

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关于年龄和年龄的“环境Chat不休”对中老年人的沟通和衰老功效的影响

这项研究基于成功衰老的交流生态模型（CEMSA），研究了个人如何与年龄有关的社交信息如何预测衰老的功效。通过路径分析分析了来自N = 283名美国中老年人的数据。有关衰老的明确信息，衰老的正面和负面角色模型的存在以及代际互动作为适应性和非适应性经历的程度可预测参与者自己如何就衰老进行交流。具有积极的榜样和世代相传的质量还可以预测与衰老相关的功效的自我报告。