Cited by 51Impact of Technology on AdolescentsHealth and Lifestyle StudiesSubstance Abuse Treatment and Outcomes

Relationships between depression, health‑related behaviors, and internet addiction in female junior college students

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Yang, Shang-Yu, Fu, Shih-Hau, Chen, Kai-Li, Hsieh, Pei-Lun, Lin, Pin-Hsuan·2019·PLOS ONE

Abstract

INTRODUCTION: Depressive emotions can lead to subsequent unhealthy behaviors such as Internet addiction, especially in female adolescents; therefore, studies that examine the relationships among depression, health‑related behaviors, and Internet addiction in female adolescents are warranted. PURPOSE: To examine (1) the relationship between depression and health-related behaviors and (2) the relationship between depression and Internet addiction. METHOD: A cross-sectional study design was adopted using a structured questionnaire to measure depression, health-related behaviors, and Internet addiction in female adolescents. The data were collected from students of a junior college in southern Taiwan using convenience sampling to select the participants. The questionnaire was divided into four sections: demographics, the Center for Epidemiologic Studies Depression Scale (CES-D), the Health Promoting Lifestyle Profile (HPLP), and the Internet Addiction Test (IAT). RESULTS: The final sample comprised 503 female junior college students, with the participants mainly aged between 15 to 22 years (mean age = 17.30 years, SD = 1.34). Regarding the HPLP scores, the overall score, nutrition subscale score, and self-actualization subscale score were significantly and negatively associated with the CES-D depression score (p < 0.05-0.01). In other words, depression level was lower in students who exhibited more healthy behaviors, put more emphasis on dietary health, and had higher levels of self-admiration and confidence toward life. Regarding the IAT scores, the overall score and six domain scores were all positively associated (p < 0.01) to the CES-D depression score. In other words, the higher an individual's Internet addiction score was, the higher her depression level was. CONCLUSIONS: The results confirmed the relationship between depression, health-related behaviors, and Internet addiction. The cultivation of health-related behaviors may help in lowering depressive symptoms. Teenagers with depression have higher risks of developing Internet addiction, and such addiction is likely to affect their daily functioning.

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  1. [38]Eaton WW, Smith C, Ybarra M, Muntaner C, Tien A. Center for Epidemiologic Studies Depression Scale: review and revision (CESD and CESD-R) In Maruish M. E. (Ed.), The use of psychological testing for treatment planning and outcomes assessment: Instruments for adults (pp. 363– 377). Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers.
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Authors
Yang, S.-Y., Fu, S.-H., Chen, K.-L., Hsieh, P.-L., & Lin, P.-H.
Affiliations
  • Asia University (TW)
  • Chung Hwa University of Medical Technology (TW)
  • National Taichung University of Science and Technology (TW)
Corresponding author
Lin, Pin-Hsuan
Venue
PLOS ONE
Published
2019-08-09
Volume
14
Issue
8
Pages
e0220784
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2968407320
Cited by
51
References
71
Citations by year
2025: 6 · 2024: 7 · 2023: 10 · 2022: 9 · 2021: 8 · 2020: 10 · 2018: 1
FWCI
13.56
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Health Sciences › Health Professions › General Health Professions › Health and Lifestyle Studies
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
depression, internet addiction, health behavior, adolescent girls, community college students, nutrition, self-realization, depressive symptoms, health promotion
MeSH terms
Adolescent, Cross-Sectional Studies, Depression, Female, Humans, Students, Universities, Health Behavior, Behavior, Addictive, Internet, Young Adult

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