The Relationship Between Trunk Control and Hand Functions in Individuals With Parkinson's

Parkinson's Disease (PD) is a progressive and neurodegenerative central nervous system disease characterized by loss of dopaminergic neurons in the substantia nigra. Rest tremor, bradykinesia, rigidity and postural instability are the four basic findings of Parkinson's disease. The progression of the disease varies from person to person, generally starting with unilateral findings, and after the third year, bilateral findings appear and progress from distal to proximal. Balance and postural control disorders also occur within two or three years. The first symptom seen in 80% of patients is rest tremor, which begins in the distal upper extremities. The trunk, which plays an integral role in postural stabilization, controls extremity movements by providing dynamic stabilization during performance. Trunk stability is thought to be a prerequisite for upper extremity functions and it is assumed that trunk control has an effect on hand functions. There is thought to be a strong relationship between postural control and fine motor functions. There are very few studies in the literature examining the effect of trunk control on hand functions in Parkinson's patients. Based on this, the aim of this study is; To investigate the relationship between trunk control and hand functions. Sociodemographic information will be recorded taking into account the answers to the questions in the personal information form prepared by the researcher. Parkinson's patients who meet the inclusion criteria; Rough Grip (Jamar Dynamometer), Nine Hole Peg Test (DDPT), Hoehn and Yahr Scale (HYÖ), Mini Mental Test, Quick-DASH, Duruöz Hand Index and Trunk Impairment Scale (GBÖ) will be performed by Physiotherapist Nursena KILIÇ.

As descriptive statistics; Mean and standard deviation or median and minimum-maximum values will be given for continuous variables specified by measurement, and frequency and percentage values will be given for qualitative variables. The suitability of continuous variables to normal distribution will be evaluated with the Kolmogorov-Smirnov test. In independent group comparisons; For continuous variables specified by measurement, if parametric test conditions are met, the significance test of the difference between two means or one-way ANOVA will be used. In cases where parametric test conditions are not met, Mann-Whitney U test or Kruskal-Wallis test will be used. In dependent measurement comparisons, the significance test of the difference between two pairs will be used for normally distributed data, and the Wilcoxon paired two sample test will be used for non-normally distributed data. The relationship between two continuous variables will be evaluated with Pearson or Spearman Rank correlation coefficients. p<0.05 was considered statistically significant