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The Difference of Body Mass Index According to Smart Phone Proficiency in Koreans over the Age of 60
Korean J Sports Med 2018;36:189-196
Published online December 1, 2018;
© 2018 The Korean Society of Sports Medicine.

Joon-Sik Kim1, Jung-Woon Kim1, Sowon Hahn2, Yeon-Soo Kim3

Departments of 1Physical Education and 2Psychology, and 3Institute of Sport Science, Seoul National University, Seoul, Korea
Correspondence to: Yeon-Soo Kim
Institue of Sport Science, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Tel: +82-2-880-7894, Fax: +82-2-886-7804, E-mail:
Received May 10, 2018; Revised October 11, 2018; Accepted November 8, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Purpose: The purpose of this study was to compare the difference of body mass index (BMI) to smart phone proficiency in men and women over the age of 60.
Methods: Patients were divided into three groups with high (n=33), average (n=34), and low (n=33) smart phone proficiency. Fitness characteristics related to smart phone usage were evaluated by measuring cardiorespiratory endurance, grip strength, eye-hand coordination. As well, smart phone proficiency was evaluated by a self-reported questionnaire and a smart phone usability task that was composed of two categories: usage of the smartphone device itself and usage of phone applications. The differences in BMI of the subjects was analyzed by analysis of covariance adjusting for independent variables including age, smartphone usage period, eye-hand coordination, education and income.
Results: There was a significant difference in BMI among the three groups after adjustment of age, eye-hand coordination, smartphone usage period, education and income. The results showed that the self-reported questionnaire showed a significant difference in BMI between high proficiency and low proficiency groups (high 24.88짹2.46, low 23.37짹2.56; p=0.037). Smart phone usability test results also showed a significant difference in BMI among the three groups (high 25.18짹2.58, low 23.15짹2.6; p=0.000 and high 25.18짹2.58, middle 23.57.7짹1.69; p=0.010).
Conclusion: Our results suggest that high smart phone proficiency shows increased BMI in the elderly. This study suggests that people over the age of 60 who have high smartphone proficiency should be cautious of an increased BMI score.
Keywords : Body mass index, Obesity, Smartphone
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