Quantifying Social Connectedness in Parkinson's Disease: Reliability and Validity of a Clinical Assessment Toolkit.

IF 2.6 4区医学 Q2 CLINICAL NEUROLOGY Movement Disorders Clinical Practice Pub Date : 2024-12-13 DOI:10.1002/mdc3.14298

David Andrés González, Michelle Hyczy de Siqueira Tosin, Tila Warner-Rosen, Christopher G Goetz

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Abstract

Background: Loneliness and isolation impact health detrimentally but are understudied in Parkinson's disease (PD). Outcome measurement properties for social connection remain unexplored in PD.

Objective: To evaluate the measurement properties of six social connection outcomes in PD.

Methods: We evaluated internal consistency, structural validity, and construct validity for measures of loneliness (brief UCLA Loneliness Scale [ULS3], short and long de Jong Gierveld Loneliness Scale [dJGLS], social isolation [Cohen Social Network Index-SNI total people, SNI high contact networks], and social support brief Perceived Social Support Scale [PSS]).

Results: We administered measures to 178 PD participants (M_age = 67.9; 81.5% at Hoehn & Yahr stage 2). There was strong internal consistency, content validity across outcomes, and a 1-factor structure (PSS, ULS3) and a 2-factor structure (dJGLS) for two measures each.

Conclusions: We provide a toolbox for clinicians and researchers studying social connection in PD.

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量化帕金森病患者的社会联系：临床评估工具包的可靠性和有效性。

背景：孤独和隔离对健康有不利影响，但对帕金森病（PD）的研究却不足。在帕金森病中，社会联系的结果测量特性仍未得到探讨：评估帕金森病中六种社会联系结果的测量特性：我们评估了孤独感量表（UCLA 孤独感简易量表 [ULS3]、de Jong Gierveld 孤独感简易量表 [dJGLS]、社会隔离 [Cohen 社交网络指数-SNI 总人数、SNI 高接触网络] 和社会支持简易感知社会支持量表 [PSS]）的内部一致性、结构效度和构建效度：我们对 178 名帕金森病参与者（年龄=67.9；81.5% 处于 Hoehn & Yahr 第 2 阶段）进行了测量。两个量表具有很强的内部一致性、跨结果的内容效度、单因素结构（PSS、ULS3）和双因素结构（dJGLS）：我们为临床医生和研究人员提供了一个研究帕金森病社会联系的工具箱。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Movement Disorders Clinical Practice CLINICAL NEUROLOGY-

CiteScore

4.00

自引率

7.50%

发文量

218

期刊介绍： Movement Disorders Clinical Practice- is an online-only journal committed to publishing high quality peer reviewed articles related to clinical aspects of movement disorders which broadly include phenomenology (interesting case/case series/rarities), investigative (for e.g- genetics, imaging), translational (phenotype-genotype or other) and treatment aspects (clinical guidelines, diagnostic and treatment algorithms)