The Relationship between Internet Use for Non-academic Purposes and Happiness and Stress in Adolescents

Hyunju Park

doi:10.12799/jkachn.2015.26.2.169

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Park: The Relationship between Internet Use for Non-academic Purposes and Happiness and Stress in Adolescents

Original Article

Journal of Korean Academy of Community Health Nursing 2015; 26(2): 169-177.

Published online: 30 June 2015

DOI: https://doi.org/10.12799/jkachn.2015.26.2.169

The Relationship between Internet Use for Non-academic Purposes and Happiness and Stress in Adolescents

Hyunju Park

Department of Nursing, Chuncheon Campus, Kangwon National University, Chuncheon, Korea.

Corresponding author: Park, Hyunju. Department of Nursing, Kangwon National University, 1 Gangwondaehak-gil, Chuncheon 200-701, Korea. Tel: +82-33-250-8879, Fax: +82-33-242-8840, hpark@kangwon.ac.kr

Received 9 February 2015 Revised 13 June 2015 Accepted 26 June 2015

(open-access):

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

Previous studies focused on the negative effects of Internet use such as obesity, depression, and addiction. However, few studies investigated whether the Internet use for an appropriate time has positive effects on adolescents' health. Thus, the purpose of the study was to examine the dose-response relationship between Internet use for non-academic purposes (NAP) and happiness/stress in adolescents.

Methods

This study used data from the 2013 Korea Youth Risk Behavior Web-Based Survey. A total of 72,435 adolescents were included. Rao-Scott χ² and multiple logistic regression were conducted. To test the dose-response relationship, this study examined how happiness/stress changed with increase in the time of Internet use for NAP.

Results

After controlling for general characteristics, the odds ratios for being unhappy and stressful were lowest in adolescents using the Internet for NAP for more than 0 hour and less than an hour a day. Interestingly, students who did not use the Internet for NAP had a significantly higher risk of being unhappy/stressful than those using for more than 0 hour and less than an hour a day.

Conclusion

Internet use for NAP for more than 0 hour and less than an hour a day has positive effects on happiness/stress in adolescents.

Keywords: Internet, Happiness, Life stress, Adolescent

Figures and Tables

Table 1

General Characteristics of the Sample (N=72,435)

Characteristics	Categories	n (%)
Gender	Boys	36,655 (52.3)
Gender	Girls	35,780 (47.4)
Grade	Middle 1st	12,199 (16.2)
	Middle 2nd	12,113 (16.0)
	Middle 3rd	12,218 (16.5)
	High 1st	12,028 (17.1)
	High 2nd	11,865 (16.9)
	High 3rd	12,012 (17.2)
School achievement	High	24,995 (34.6)
	Middle	20,148 (28.1)
	Low	27,292 (37.3)
Economic status	High	22,747 (32.3)
	Middle	34,494 (47.4)
	Low	15,194 (20.3)
Living type	Living with family	69,006 (96.1)
	Living with relatives	776 (0.9)
	Living in boarding facility	2,250 (2.5)
	Living in care facility	403 (0.5)
Residential area	Large cities	32,540 (44.0)
	Middle sized cities	31,037 (49.1)
	Small towns	8,858 (6.9)

Table 2

Descriptive Statistics of Internet Use for Non-academic Purposes and Happiness and Stress (N=72,435)

Variables	Categories	n (%)
Internet use for non-academic purposes	None	19,241 (26.2)
	0~<1 hr	16,912 (23.2)
	1~<2 hrs	15,641 (21.7)
	2~<3 hrs	10,190 (14.1)
	≥3 hrs	10,451 (14.7)
Happiness	Very happy/happy	42,127 (58.2)
	So-so	21,943 (30.2)
	Very unhappy/unhappy	8,365 (11.6)
Stress	Very much/very stressful	30,192 (41.4)
	Slightly stressful	29,841 (41.4)
	Rarely/never stressful	12,402 (17.2)

Table 3

Relationship between Internet Use for Non-academic Purposes and Happiness and Stress (N=72,435)

Variables	Hours of internet usage for non-academic purposes					Rao-Scott x²	p
	None	0~<1 hr	1~<2 hrs	2~<3 hrs	≥3 hrs
	n (%)	n (%)	n (%)	n (%)	n (%)
Happiness						288.70	<.001
Very happy/happy	10,805 (56.4)	1,0479 (62.0)	9,505 (60.6)	5,844 (57.6)	5,494 (52.7)
So-so	6,080 (31.6)	4,829 (28.4)	4,529 (28.9)	3,085 (30.2)	3,420 (32.6)
Very unhappy/unhappy	2,356 (12.0)	1,604 (9.6)	1,607 (10.5)	1,261 (12.2)	1,537 (14.7)
Total	19,241 (100.0)	16,912 (100.0)	15,641 (100.0)	10,190 (100.0)	10,451 (100.0)
Stress						143.22	<.001
Very much/very stressful	8,563 (44.3)	6,703 (39.3)	6,033 (38.6)	4,244 (41.4)	4,649 (43.8)
Slightly stressful	7,447 (38.7)	7,216 (43.0)	6,817 (43.6)	4,236 (41.8)	4,125 (39.8)
Rarely/never stressful	3,231 (17.0)	2,993 (17.7)	2,791 (17.7)	1,710 (16.8)	1,677 (16.4)
Total	19,241 (100.0)	16,912 (100.0)	15,641 (100.0)	10,190 (100.0)	10,451 (100.0)

%: Weighted.

Table 4

Multivariate Relationships between Internet Use for Non-Academic Purposes and Happiness and Stress (N=72,435)

Variables	Categories	Feeling unhappy		Feeling stressful
Variables	Categories	AOR	95% CI	AOR	95% CI
Gender	Boys	0.71	0.69~0.74	0.52	0.51~0.54
Gender	Girls	1		1
Grade	Middle 1st	0.71	0.67~0.76	0.71	0.67~0.75
	Middle 2nd	0.87	0.81~0.93	0.82	0.77~0.88
	Middle 3rd	0.90	0.85~0.96	0.84	0.79~0.89
	High 1st	0.95	0.89~1.01	0.79	0.75~0.84
	High 2nd	1.07	1.01~1.13	0.94	0.88~0.99
	High 3rd	1		1
School achievement	High	0.58	0.55~0.60	0.76	0.73~0.79
	Middle	0.72	0.69~0.75	0.78	0.75~0.81
	Low	1		1
Economic status	High	0.43	0.41~0.45	0.59	0.57~0.62
	Middle	0.65	0.63~0.68	0.64	0.61~0.66
	Low	1		1
Living type	Living with family	1.13	0.91~1.40	1.17	0.92~1.48
	Living with relatives	1.51	1.18~1.95	1.41	1.06~1.86
	Living in boarding facility	0.98	0.77~1.23	1.15	0.79~1.48
	Living in care facility	1		1
Hour of internet usage/day	None	1.17	1.13~1.22	1.16	1.11~1.22
	0<,<1hr	1	1.03~1.12	1	0.98~1.08
	1≤,<2hr	1.07	1.11~1.23	1.03	1.11~1.24
	2≤,<3hr	1.17	1.28~1.42	1.17	1.20~1.34
	3≤	1.34		1.27

AOR=adjusted odds ratio.

References

1. Hardie EA, Tee MY. Excessive Internet use: The role of personality, loneliness and social support networks in internet addiction. Aust J Emerg Technol Soc. 2007; 5(1):34–47.

2. Lenhart APK, Smith A, Zickhur K. Social media and young adults. Washington, DC: Pew Internet and American Life Project;2010. p. 37.

3. Statistics Korea. Internet usage by gender and age [internet]. Seoul: Korean Statistical Information Service;2014. cited 2015 January 12. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=127&tblId=DT_MH001_MI004&conn_path=I2.

4. Kim W, Lee JI, Cho CH, Lee GH, Na EA, Hwang HS, et al. Survey on the internet usage [internet]. Seoul: Korea Internet & Security Agency;2011. cited 2015 January 12. Available from: http://isis.kisa.or.kr/eng/board/index.jsp?pageId=040100&bbsId=10&itemId=319&pageIndex=2.

5. Pénarda T, Poussingb N, Suirea R. Does the internet make people happier? J Socio Econ. 2013; 46:105–116. DOI: 10.1016/j.socec.2013.08.004.

6. Ko CH, Yen JY, Chen CS, Yeh YC, Yen CF. Predictive values of psychiatric symptoms for internet addiction in adolescents: A 2-year prospective study. Arch Pediatr Adolesc Med. 2009; 163(10):937–943. DOI: 10.1001/archpediatrics.2009.159.

7. Ko CH, Yen JY, Yen CF, Chen CS, Weng CC, Chen CC. The association between Internet addiction and problematic alcohol use in adolescents: The problem behavior model. Cyberpsychol Behav. 2008; 11(5):571–576. DOI: 10.1089/cpb.2008.0199.

8. Chen SY, Tzeng JY. College female and male heavy internet users' profiles of practices and their academic grades and psychosocial adjustment. Cyberpsychol Behav Soc Netw. 2010; 13(3):257–262.

9. Hong SH. The recent growth of the internet and changes in household-level demand for entertainment. Inf Econ Policy. 2007; 19(3-4):304–318.

10. Gui B, Stanca L. Happiness and relational goods: Well-being and interpersonal relations in the economic sphere. Int Rev Econ. 2010; 57(2):105–118. DOI: 10.1007/s12232-010-0099-0.

11. Mitchell ME, Lebowa JR, Uribea R, Grathousea H, Shogerb W. Internet use, happiness, social support and introversion: A more fine grained analysis of person variables and internet activity. Comput Human Behav. 2011; 27(5):1857–1861. DOI: 10.1016/j.chb.2011.04.008.

12. Mythily S, Qiu S, Winslow M. Prevalence and correlates of excessive Internet use among youth in Singapore. Ann Acad Med Singapore. 2008; 37(1):9–14.

13. Yoo YS, Cho OH, Cha KS. Associations between overuse of the internet and mental health in adolescents. Nurs Health Sci. 2014; 16(2):193–200. DOI: 10.1111/nhs.12086.

14. Akın A. The relationships between Internet addiction, subjective vitality, and subjective happiness. Cyberpsychol Behav Soc Netw. 2012; 15(8):404–410. DOI: 10.1089/cyber.2011.0609.

15. Ko CH, Liu TL, Wang PW, Chen CS, Yen CF, Yen JY. The exacerbation of depression, hostility, and social anxiety in the course of Internet addiction among adolescents: A prospective study. Compr Psychiatry. 2014; 55(6):1377–1384. DOI: 10.1016/j.comppsych.2014.05.003.

16. Korea Centers For Disease Control & Prevention. The ninth Korea youth risk behavior web-based survey [Internet]. Seoul: Ministry of Education, Ministry of Education, Ministry of Health and Welfare, Korea Centers For Disease Control & Prevention;2013. cited 2015 January 12. Available from: http://yhs.cdc.go.kr/.

17. Beléanger RE, Akre C, Berchtold A, Michaud PA. A U-shaped association between intensity of Internet use and adolescent health. Pediatrics. 2011; 127(2):e330–e335. DOI: 10.1542/peds.2010-1235.

18. Casiano H, Kinley DJ, Katz LY, Chartier MJ, Sareen J. Media use and health outcomes in adolescents: findings from a nationally representative survey. J Can Acad Child Adolesc Psychiatry. 2012; 21(4):296–301.

19. Bozoglan B, Demirer V, Sahin I. Loneliness, self-esteem, and life satisfaction as predictors of Internet addiction: A cross-sectional study among Turkish university students. Scand J Psychol. 2013; 54(4):313–319. DOI: 10.1111/sjop.12049.

20. Elisheva FG. Adolescent Internet use: What we expect, what teens report. J Appl Dev Psychol. 2004; 25(6):633–649. DOI: 10.1016/j.appdev.2004.09.005.

21. Canadian Pediatric Society. Impact of media use on children and youth. Paediatr Child Health. 2003; 8(5):301–306.

22. O'Keeffe GS, Clarke-Pearson K. Clinical report-the impact of social media on children, adolescents, and families. Pediatrics. 2011; 127(4):800–804. DOI: 10.1542/peds.2011-0054.

23. Cheng H, Furnham A. Personality, peer relations, and self-confidence as predictors of happiness and loneliness. J Adolesc. 2002; 25(3):327–339. DOI: 10.1006/jado.2002.0475.

24. Park SY, Lee H. Determinants of subjective well-being among Korean adolescents. Korean J Stress Res. 2013; 21:73–84.

25. Cho A. Mediating effect of social support in the relationship between adolescent's stress and academic achievement. Korean J Educ Res. 2005; 43(3):137–155.

26. Park D, Jang S. Influence of parental socioeconomic status on stress, depression and suicidal ideation among Korean adolescents. J Korean Acad Ind Coop Soc. 2013; 14(6):2267–2676. DOI: 10.5762/KAIS2013.14.6.2667.

27. Yang SJ, Stewart R, Lee JY, Kim JM, Kim SW, Shin IS, et al. Prevalence and correlates of problematic internet experiences and computer-using time: A two-year longitudinal study in Korean school children. Psychiatry Investig. 2014; 11(1):24–31. DOI: 10.4306/pi.2014.11.1.24.

28. Xiuqin H, Huimin Z, Mengchen L, Jinan W, Ying Z, Ran T. Mental health, personality, and parental rearing styles of adolescents with Internet addiction disorder. Cyberpsychol Behav Soc Netw. 2010; 13(4):401–406. DOI: 10.1089/cyber.2009.0222.

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