Unknown

Dataset Information

Predictors of Loneliness in Parkinson's Disease and Craniocervical Dystonia.


ABSTRACT:

Background

Loneliness is a state in which an individual feels socially isolated due to deficiencies in the quantity or quality of social relationships and interaction. To date very little is known about loneliness in Parkinson's disease (PD) and focal/segmental craniocervical dystonia (FSCD).

Objectives

To explore whether level of loneliness is disease-specific by comparing PD, FCSD and healthy controls (HCs), and to define predictors of loneliness in both PD and FSCD.

Methods

Eighty-two people with PD, 63 people with FSCD and 50 HC were surveyed. The UCLA Loneliness Scale was used to assess loneliness. Various non-motor symptoms, psychosocial variables and measures of subjective well-being were assessed and used as potential predictors of loneliness.

Results

T

SUBMITTER: Shahmoon S 

PROVIDER: S-EPMC12481432 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature