Optimal Nursing Journal
Volume 3, Number 1, Juni 2026

KECEMASAN SEBAGAI PREDIKTOR INTENSITAS NYERI PADA PASIEN PASCA AKUPUNKTUR

Mei Rianita Elfrida Sinaga (Sekolah Tinggi Ilmu Kesehatan Bethesda Yakkum Yogyakarta)
Taufiqur Rohman (Sekolah Tinggi Ilmu Kesehatan Bethesda Yakkum Yogyakarta)



Article Info

Publish Date
10 Jul 2026

Abstract

Acupuncture is an effective complementary therapy for reducing pain, but the needle insertion procedure can induce anxiety that potentially affects the patient's perception of pain. Anxiety as a psychological response is suspected to play a role as a predictor of the pain intensity felt after acupuncture treatment. This study aims to analyze the role of anxiety as a predictor of pain intensity in patients post-acupuncture at Community Development Bethesda Yakkum Yogyakarta. This study uses a quantitative design with a correlational analytical approach. The sampling technique used was total sampling with a total of 30 respondents. The level of anxiety was measured using the Hamilton Anxiety Rating Scale (HARS) before the procedure, while the intensity of pain was measured using the Numeric Rating Scale (NRS) after the procedure. Data analysis used the Somers’ d test to examine the direction and strength of the relationship. The research results showed that the majority of respondents experienced severe anxiety (43.3%) and mild pain (56.7%). The Somers’ d test indicated a significant relationship between anxiety and pain intensity (p = 0.005) with a positive direction and moderate strength. Anxiety acts as a predictor of pain intensity in post-acupuncture patients, where higher anxiety levels correspond to greater perceived pain intensity.

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Journal Info

Abbrev

onj

Publisher

Subject

Description

Optimal Nursing Journal (ONJ) is a national open access journal with a primary focus on the field of healthcare, specifically in the field of nursing. Serving as a specialized platform for researchers and practitioners, ONJ facilitates the sharing of research findings, analysis, and in-depth ...