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Regression-based normative data for social health scale for the elderly (short version) in eastern China

机译:中国东部老人(短版)社会健康规模基于回归的规范数据

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BACKGROUNDS:Social Health Scale for the Elderly short version (SHSE-S) is a psychometrically sound instrument that comprehensively assesses the social health status of older adults in China. The aim of the present study was to establish continuous normative data of SHSE-S.METHODS:We conducted a multicenter cross-sectional study among 31 communities in eastern China. Older adults aged 60?years and above were invited to participate in the study. Each participant was interviewed in-person to finish a structured questionnaire. The SHES-S score was calculated and standardized for each participant. We split the sample into generation and validation datasets and compared the distribution of SHSE-S score between two datasets. Multivariable linear regression was used to assess the SHSE-S score and demographic variables. Regression-based norms were built using a four-step process.RESULTS:A total of 6089 participants (51.2% females) aged 60?years old and above (mean age?=?71.3, SD?=?8.0) were enrolled as the normative sample. No significant difference was found between the distribution of SHSE-S standardized score in the generation (N?=?2392) and validation (N?=?3697) datasets. Multivariable linear regression showed that females, higher education levels were positive indicators while aging, living alone, divorced or never married, multimorbidity were negative factors. The regression-based norm which taking demographic factors into account was established and a user-friendly worksheet was also provided to facilitate the scoring and norming of the SHSE-S.CONCLUSIONS:The population-based regression norm of SHSE-S can be a useful tool for assessing the social health status of the Chinese elderly population.
机译:背景:老年短版(SHSE-S)的社会健康规模是一个精神度学音响仪器,全面评估了中国老年人的社会健康状况。本研究的目的是建立SHSE-S.Method的持续规范数据:我们在中国东部的31个社区进行了多中心的横截面研究。 60岁的老年人被邀请参加这项研究。每位参与者接受采访的人,以完成结构化问卷。为每个参与者计算并标准化SHES-S分数。我们将样本拆分为生成和验证数据集,并比较了两个数据集之间的SHSE分数的分布。多变量线性回归用于评估SHSE-S的分数和人口变量。基于回归的规范是使用四步过程构建的。结果:总共6089名参与者(51.2%的女性)60岁?岁及以上(平均年龄?=?71.3,SD?=?8.0)被纳入其中规范样本。在生成中的SHSE标准化分数之间没有发现显着差异(n?=?2392)和验证(n?= 3697)数据集。多变量线性回归显示,女性,高等教育水平是阳性指标,同时衰老,独自生活,离婚或从未结婚,多重无水是负面因素。建立了应对人口因素的基于回归的规范,并提供了一个用户友好的工作表,以促进SHSE-S.Conclusions的评分和规范:Shse-s的基于人口的回归规范可能是一个有用的评估中国老年人口社会健康状况的工具。

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