Korean J Sports Med.  2018 Dec;36(4):189-196. 10.5763/kjsm.2018.36.4.189.

The Difference of Body Mass Index According to Smart Phone Proficiency in Koreans over the Age of 60

• Kim JS
• Kim JW
• Hahn S
• Kim YS

• KMID: 2428002
• DOI: http://doi.org/10.5763/kjsm.2018.36.4.189

Abstract

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 24.88±2.46, low 23.37±2.56; p=0.037). Smart phone usability test results also showed a significant difference in BMI among the three groups (high 25.18±2.58, low 23.15±2.6; p=0.000 and high 25.18±2.58, middle 23.57.7±1.69; 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.

Keyword

Body mass index; Obesity; Smartphone

MeSH Terms

Aged
Body Mass Index*
Education
Female
Hand Strength
Humans
Male
Obesity
Smartphone*

Figure

• 

  Fig. 1 Eye hand coordination task. This task measures smartphone reaction time, touch error (or touch accuracy) and calculates the average (Avg) value of each value.

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