The Effect of Acupressure on Polyneuropathy-related Pain and Sleep Quality

Giresun University

Status

Completed

Conditions

Type 2 Diabetes

Treatments

Other: Acupressure

Study type

Interventional

Funder types

Other

Identifiers

NCT06936956

GRU-SBF-FGO-01

Details and patient eligibility

About

This study aimed to determine the effect of acupressure on polyneuropathy-related pain and sleep quality in patients with type 2 diabetes. A randomized controlled experimental design was employed in the study. The study sample consisted of 86 patients with type 2 diabetes (44 in the acupressure group and 42 in the control group) who met the inclusion criteria and agreed to participate. Participants were randomly assigned to either the experimental or control group. The experimental group received six sessions of acupressure over six consecutive days, while the control group received no intervention. Data were collected using a personal information form, the Pain Quality Assessment Scale (PQAS), and the Pittsburgh Sleep Quality Index (PSQI). Statistical analyses were conducted using SPSS for Windows 22. Acupressure was found to reduce polyneuropathy-related pain and enhance sleep quality in patients with type 2 diabetes. Therefore, acupressure may be considered an alternative nursing intervention for individuals with type 2 diabetes.

Enrollment

86 patients

Sex

All

Ages

18 to 65 years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

Were between the ages of 18-65 years old
Resided in the city center
Had no additional diseases that could cause sensory neuropathy, such as peripheral arterial disease, peripheric vein disease, nervous system diseases, benign or malign tumor, chemotherapy history, carpal tunnel syndrome, and arthritis.
Had no clotting or bleeding disorders
Were not undergoing dialysis treatment during the study period
Had no ulcers, physical deformities or foot calluses
Had no history of analgesic medication, except for medication used for DPN
Had no physical diseases, cognitive deficiencies or psychiatric disease diagnosis that would prevent understanding of the questions on the scales used for data collection.