Cycling to Regulate Random Blood Glucose Levels in Individuals with Diabetes

Difran Nobel Bistara; Susanti Susanti; Budhi Setianto; Erika Martining Wardani; Dyah Ika Krisnawati; Nantiya Pupuh Satiti

doi:10.3889/oamjms.2021.7821

Authors

Difran Nobel Bistara Department of Nursing, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia
Susanti Susanti Department of Nursing, Sekolah Tinggi Ilmu Kesehatan Adi Husada, Surabaya, East Java, Indonesia
Budhi Setianto Department of Public Health, Faculty of Health, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia
Erika Martining Wardani Department of Nursing, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia
Dyah Ika Krisnawati Department of Nursing, Akademi Keperawatan Dharma Husada, Kediri, East Java, Indonesia
Nantiya Pupuh Satiti Department of Nursing, Akademi Kesehatan Rustida, Banyuwangi, East Java, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2021.7821

Keywords:

Cycling, Random blood glucose levels, Diabetes

Abstract

BACKGROUND: In Indonesia, the four pillars of diabetes management include health education, food planning, physical exercise, and drug adherence. However, the most common imprudence in those four pillars was ignoring physical activity. Cycling has become a new social activity and a lifestyle among the community during the COVID-19 pandemic. It is an aerobic exercise that increases insulin receptor sensitivity.

AIM: This study aims to analyze the effect of cycling on Random Blood Glucose (RBG) levels in individuals with diabetes.

METHODOLOGY: This paper used a quasi-experiment pre-post test design with the control group. It utilized total sampling with 60 respondents. The independent variable was cycling using a dynamic bicycle. Meanwhile, the dependent variable was RBG levels with a glucometer as the instrument. The procedure in the intervention group was cycling using a dynamic bicycle twice a week with a distance of 2–3 kilometers each session. The data analysis used a paired T-test and independent sample T-test.

RESULTS: After cycling, the independent T-test result was p = 0.00 (p < 0.05). Thus, there was a difference in the mean RBG levels between the intervention and control groups after cycling. There was a decrease in mean RBG levels in the intervention group (206.67 ± 69.887 in pre-test and 114.60 ± 30.395 in post-test). In addition, the paired T-test resulted in p = 0.00 (p < 0.05). Thus, there was a difference in the intervention group’s mean RBG levels before and after cycling

CONCLUSION: Cycling can lower RBG levels in individuals with diabetes.

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