Journal List > J Nutr Health > v.51(4) > 1100550

J Nutr Health. 2018 Aug;51(4):295-306. Korean.
Published online August 31, 2018.  https://doi.org/10.4163/jnh.2018.51.4.295
© 2018 The Korean Nutrition Society
Analysis of health habit and hair mineral nutrition status of media addicted adolescent
Hee-Sook Lim,1 and Soon-Kyung Kim2
1Department of Food Sciences and Nutrition, Yeonsung University, Anyang, Gyeonggi 14011, Korea.
2Department of Food Science and Nutrition, College of Natural Science, Soonchunhyang University, Asan, Chungnam 31538, Korea.

To whom correspondence should be addressed. tel: +82-41-530-1261, Email: soon56@sch.ac.kr
Received July 24, 2018; Revised August 03, 2018; Accepted August 06, 2018.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Abstract

Purpose

Koreans' internet and smartphone usage hours are steadily increasing and the dependence of young people on smartphones is causing social problems. Therefore, this study was conducted to examine health and dietary habits, as well as hair mineral contents according to the level of dependence of smartphone use among adolescents to clarify the interrelation of smartphone dependence, lifestyle, dietary behavior, and mineral nutrition status.

Methods

A total of 80 smartphone-addicted adolescents participated in this study and were divided into three groups (general, potential and danger group) according to smartphone dependence. The subjects' lifestyles and dietary behaviors were then surveyed, and hair mineral contents were analyzed.

Results

Higher smartphone dependence was associated with lower average weekly sleeping time and later first smoking age. In the danger group, the rate of eating fast and the rate of snacking twice a day was also relatively high. Parents (45.0%) and mobile (30.0%) were the factors having the greatest influence on an individual's dietary behavior. In the hair mineral analysis, all subjects had lower selenium concentrations and higher lead concentrations than normal. In addition, the levels of aluminum in the danger group were higher than in the normal range and the highest among the three groups.

Conclusions

It is necessary to guide adolescents to use smartphones correctly and manage dietary habits. In addition, careful attention is needed the mineral nutritional status of smartphone-addicted adolescents.

Keywords: adolescent; addiction; smartphones; health behavior; mineral

Tables


Table 1
General characteristics and anthropometrics according to smartphone dependency in the media addicted adolescents
Click for larger image


Table 2
Health behaviors according to smartphone dependency in the media addicted adolescents
Click for larger image


Table 3
Eating habits according to smartphone dependency in the media addicted adolescents
Click for larger image


Table 4
Eating behaviors and route about nutritional information according to smartphone dependency in the media addicted adolescents
Click for larger image


Table 5
Hair mineral contents according to smartphone dependency in the media addicted adolescents
Click for larger image


Table 6
Logistic regression analysis of hair mineral contents in the media addicted adolescents
Click for larger image

Notes

This work were supported by grants from Korea Youth Counseling & Welfare Institute of 2016 and by the Soonchunhyang University Research Fund.

References
1. Kwak S, Woo T, Lee KA, Lee KH. A comparison of dietary habits and influencing factors for vegetable preferences of adolescents in Gyeongnam province. Korean J Community Nutr 2015;20(4):259–272.
2. Korea Centers for Disease Control and Prevention. Korea youth risk behavior web-based survey 2016 [Internet]. Cheongju: Korea Centers for Disease Control and Prevention; 2017 [cited 2018 Jun 23].
3. Ministry of Gender Equality and Family (KR). Youth internet and smartphone usage survey 2018 [Internet]. Seoul: Ministry of Gender Equality and Family; 2018 [cited 2018 Jul 6].
4. Bernardi S, Pallanti S. Internet addiction: a descriptive clinical study focusing on comorbidities and dissociative symptoms. Compr Psychiatry 2009;50(6):510–516.
5. Hur MH. Demographic, habitual, and socioeconomic determinants of Internet addiction disorder: an empirical study of Korean teenagers. Cyberpsychol Behav 2006;9(5):514–525.
6. Lai CM, Mak KK, Watanabe H, Jeong J, Kim D, Bahar N, Ramos M, Chen SH, Cheng C. The mediating role of Internet addiction in depression, social anxiety, and psychosocial well-being among adolescents in six Asian countries: a structural equation modelling approach. Public Health 2015;129(9):1224–1236.
7. Ha JH, Kim SY, Bae SC, Bae S, Kim H, Sim M, Lyoo IK, Cho SC. Depression and Internet addiction in adolescents. Psychopathology 2007;40(6):424–430.
8. Kim Y, Park JY, Kim SB, Jung IK, Lim YS, Kim JH. The effects of Internet addiction on the lifestyle and dietary behavior of Korean adolescents. Nutr Res Pract 2010;4(1):51–57.
9. Park KA. Dietary and lifestyle habits and dietary behaviors according to level of smartphone addiction in university students in Kyungnam Province. J Korean Diet Assoc 2017;23(4):408–430.
10. Dorgan JF, Liu L, Klifa C, Hylton N, Shepherd JA, Stanczyk FZ, Snetselaar LG, Van Horn L, Stevens VJ, Robson A, Kwiterovich PO Jr, Lasser NL, Himes JH, Pettee Gabriel K, Kriska A, Ruder EH, Fang CY, Barton BA. Adolescent diet and subsequent serum hormones, breast density, and bone mineral density in young women: results of the dietary intervention study in children follow-up study. Cancer Epidemiol Biomarkers Prev 2010;19(6):1545–1556.
11. Harrington JM, Young DJ, Essader AS, Sumner SJ, Levine KE. Analysis of human serum and whole blood for mineral content by ICP-MS and ICP-OES: development of a mineralomics method. Biol Trace Elem Res 2014;160(1):132–142.
12. Nennich TD, Harrison JH, VanWieringen LM, St-Pierre NR, Kincaid RL, Wattiaux MA, Davidson DL, Block E. Prediction and evaluation of urine and urinary nitrogen and mineral excretion from dairy cattle. J Dairy Sci 2006;89(1):353–364.
13. Song WY, Hong JH, Park EJ, Lee HW, Choi JH. Effect of antioxidative vitamin supplementation on mineral contents in the hair and autistic related behaviors in Autistic Children. J Korean Soc Food Sci Nutr 2010;39(2):237–243.
14. Han TH, Lee J, Kim YJ. Hair zinc level analysis and correlative micronutrients in children presenting with malnutrition and poor growth. Pediatr Gastroenterol Hepatol Nutr 2016;19(4):259–268.
15. Choi WS, Kim SH, Chung JH. Relationships of hair mineral concentrations with insulin resistance in metabolic syndrome. Biol Trace Elem Res 2014;158(3):323–329.
16. National Information Society Agency (KR). Development of Korean smartphone addiction proneness scale for youth and adults 2011. Seoul: National Information Society Agency; 2011.
17. Seo HJ, Park MA, Jang JS. Affecting factors on food habits related health behavior activities of adolescents. Korean J Food Nutr 2017;30(2):297–304.
18. Seo IK, Lee YS. Effects of adolescents' stress on academic achievement and the control effect of social support: a comparative study of middle and high school students. J Youth Welf 2017;19(3):23–51.
19. Lee YS, Kim LS, Cho EH, Lee HS. A study on adolescents' perceptions of smart phone uses: with a focus on the FGI of middle and high school users. Korea J Youth Couns 2013;21(1):43–66.
20. Lee KE, Kim SH, Ha TY, Yoo YM, Han JJ, Jung JH, Jang JY. Dependency on smartphone use and its association with anxiety in Korea. Public Health Rep 2016;131(3):411–419.
21. AlAbdulwahab SS, Kachanathu SJ, AlMotairi MS. Smartphone use addiction can cause neck disability. Musculoskelet Care 2017;15(1):10–12.
22. Musaiger AO, Al-Mannai M. Association between exposure to media and body weight concern among female university students in five Arab countries: a preliminary cross-cultural study. J Biosoc Sci 2014;46(2):240–247.
23. Suk MS, Ku YG. The Effects of individual, family, and school factors on smart-phone addiction of adolescents. J Youth Welf 2016;18(1):53–77.
24. Bartel KA, Gradisar M, Williamson P. Protective and risk factors for adolescent sleep: a meta-analytic review. Sleep Med Rev 2015;21:72–85.
25. Bassett SM, Lupis SB, Gianferante D, Rohleder N, Wolf JM. Sleep quality but not sleep quantity effects on cortisol responses to acute psychosocial stress. Stress 2015;18(6):638–644.
26. Haug S, Castro RP, Kwon M, Filler A, Kowatsch T, Schaub MP. Smartphone use and smartphone addiction among young people in Switzerland. J Behav Addict 2015;4(4):299–307.
27. Kim EJ, Kim SY. Correlation between smartphone addiction and eating behaviors of elementary school students in Ansan Area. J Korean Soc Food Sci Nutr 2015;44(7):1007–1015.
28. Rayman MP. Selenium and human health. Lancet 2012;379(9822):1256–1268.
29. Ashraf U, Kanu AS, Mo Z, Hussain S, Anjum SA, Khan I, Abbas RN, Tang X. Lead toxicity in rice: effects, mechanisms, and mitigation strategies--a mini review. Environ Sci Pollut Res Int 2015;22(23):18318–18332.
30. Kim JE, Shin JM, Ko JY, Ro YS. Hair mineral analysis in children with atopic dermatitis. Ann Dermatol 2017;29(2):251–253.
31. Kim HY, Lee JY, Yang HR. Nutrient intakes and hair mineral contents of young children. Pediatr Gastroenterol Hepatol Nutr 2016;19(2):123–129.