4.5 Article

Predictors of health-related quality of life in Parkinson's disease: the impact of overlap between health-related quality of life and clinical measures

期刊

QUALITY OF LIFE RESEARCH
卷 31, 期 11, 页码 3241-3252

出版社

SPRINGER
DOI: 10.1007/s11136-022-03187-y

关键词

HRQoL; Anxiety; Depression; Fatigue; Neurocognition; Motor symptoms

资金

  1. CRUE-CSIC agreement
  2. Springer Nature
  3. BBK foundation [P201902032-12/1284]
  4. Department of Education of the Basque Government [IT946-16]
  5. Research Staff Training Programme Grant from the Basque Government [PRE_2018_1_0379]

向作者/读者索取更多资源

This study aimed to determine predictors of health-related quality of life (HRQoL) in Parkinson's disease (PD) and explore their predictive value before and after controlling overlapping items between HRQoL and clinical variables. The results showed that fatigue, anxiety, motor symptoms, and neurocognition were the main predictors of HRQoL in PD patients.
Purpose This study aimed to determine predictors of health-related quality of life (HRQoL) in Parkinson's disease (PD) and to explore their predictive value before and after controlling overlapping items between HRQoL and clinical variables. Methods One hundred and eight PD patients underwent motor, anxiety, depression, apathy, fatigue, and neurocognition assessment. HRQoL was assessed by the Parkinson's Disease Questionnaire-39 (PDQ-39). In order to determine predictors of HRQoL in PD, stepwise multiple regression analyses were performed in two ways: before and after removing the emotional well-being dimension from PDQ-39 to control the overlap between depression and anxiety, and HRQoL. Results HRQoL total index was predicted by anxiety, fatigue, motor symptoms, and depression, explaining 26.9%, 7.2%, 2.8%, and 1.9% of the variance. However, after removing overlapping items, HRQoL total index was predicted by fatigue (16.5%), anxiety (6.1%), motor symptoms (3.9%), and neurocognition (2.5%), but not depression. Regarding HRQoL dimensions, mobility and activities of daily living were predicted by fatigue (19.7% and 5%) and UPDRS-III (4% and 10.2%); emotional well-being by fatigue (7.9%); social support by anxiety (12.2%) and UPDRS-III (8.6%); communication by neurocognition (5.3%) and UPDRS-III (3.4%); cognition by anxiety (10.6%) and bodily discomfort by anxiety (23%) and fatigue (4.1%). Conclusion These findings showed the importance of identifying and controlling overlapping items of HRQoL and clinical measures to perform an accurate interpretation. HRQoL dimensions showed different predictors before and after controlling the overlap. Based on these results fatigue, anxiety, motor symptoms, and neurocognition, but not depression are the main predictors of HRQoL in PD patients.

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