Acta Scientific Nutritional Health (ASNH)(ISSN: 2582-1423)

Research Article Volume 4 Issue 9

Perception Why the Prefecture has a Longer Life Expectancy Among Japanese Students

Tatsuya Koyama*

Department of Nutrition, Aomori University of Health and Welfare, Japan

*Corresponding Author: Tatsuya Koyama, Department of Nutrition, Aomori University of Health and Welfare, Japan.

Received: August 19, 2020; Published: August 28, 2020

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Abstract

One reason to study life expectancy may be to determine desirable health behaviours. Therefore, the purpose of this study was to clarify which Japanese prefectures university students recognise as having the longest lifespans and why. In June 2020, a self-administered questionnaire was completed by 32 first-year college students (3 males and 29 females) at a registered dietician training school in Aomori Prefecture, Japan. In order to determine the students’ perceptions, the following question was asked: "What prefecture do you think has the longest life expectancy?" The reasons were limited to dietary habits due to the characteristics of the department, and answers were written out freely. Additionally, the questionnaire included: "Why do you think that prefecture has the longest life expectancy? Please write the reasons, including dietary habits." Nagano was most frequently chosen by the students as the prefecture with the longest life expectancy (n = 24; 75%). The extracted words were "vegetable" (mentioned 28 times), "intake" (21 times), "salt" (14 times), "fruit" (10 times), "reduced salt" (4 times), "nutrient" (4 times), and "miso soup" (4 times). Most students thought that desirable dietary habits included more vegetable intake and less salt.

Keywords:Life Expectancy; Intake; Vegetable; Salt; Japanese University Students

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References

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Citation

Citation: Tatsuya Koyama. “Perception Why the Prefecture has a Longer Life Expectancy Among Japanese Students". Acta Scientific Nutritional Health 4.9 (2020): 108-112.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.034

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