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测量健康与退休研究中的社会参与度。

Measuring Social Participation in the Health and Retirement Study.

机构信息

Department of Family Medicine, University of Texas Medical Branch, Galveston.

School of Occupational Therapy, University of Western Ontario, London, Canada.

出版信息

Gerontologist. 2019 Sep 17;59(5):e415-e423. doi: 10.1093/geront/gny094.

Abstract

BACKGROUND AND OBJECTIVES

Large data sets have the potential to reveal useful information regarding social participation; however, most data sets measure social participation via individual items without a global assessment of social participation.

RESEARCH DESIGN AND METHODS

We used data from the Health and Retirement Study (HRS) to assess whether 8 items from questionnaire pertaining to social participation (religious attendance, caring for an adult, activities with grandchildren, volunteering, charity work, education, social clubs, nonreligious organizations) formed a reliable, cohesive scale and to explore the predictive validity of this scale. We included respondents 65 years and older in the HRS who returned the psychosocial questionnaire in 2010 and 2012 with responses to the social participation items (n = 4,317 and n = 3,978). Three scales were explored: SoPart-30 using the original scoring; SoPart-10 using modified scoring; and SoPart-5 using dichotomous scoring.

RESULTS

Five items were retained as a single factor for each scale, and graded response models and Mokken scale analysis confirmed the scale items with the SoPart-10 scale having the highest reliability (alpha = 0.74).

DISCUSSION AND IMPLICATIONS

Results suggest that a scale derived from the social participation items in the HRS may be useful in characterizing general social participation levels and identifying modifiable factors that can promote it in older populations.

摘要

背景与目的

大数据集有可能揭示有关社会参与的有用信息;然而,大多数数据集通过个体项目来衡量社会参与,而没有对社会参与进行全面评估。

研究设计与方法

我们使用来自健康与退休研究(HRS)的数据,评估了问卷中与社会参与相关的 8 个项目(宗教出席、照顾成年人、与孙辈一起活动、志愿活动、慈善工作、教育、社交俱乐部、非宗教组织)是否形成了一个可靠的、有凝聚力的量表,并探讨了该量表的预测有效性。我们纳入了 HRS 中在 2010 年和 2012 年返回心理社会问卷且对社会参与项目有回复的年龄在 65 岁及以上的受访者(n=4317 和 n=3978)。我们探讨了三种量表:SoPart-30 使用原始评分;SoPart-10 使用修正评分;SoPart-5 使用二分评分。

结果

每个量表都保留了 5 个项目作为一个单一因素,等级反应模型和 Mokken 量表分析证实,SoPart-10 量表的项目具有最高的可靠性(alpha=0.74)。

讨论与意义

结果表明,从 HRS 的社会参与项目中得出的量表可能有助于描述老年人的一般社会参与水平,并确定可以促进其参与的可改变因素。

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