|About the Journal||Editorial Board||For Contributors||Browse Archives||Ethical Principles|
You are not permitted to access the full text of articles.
If you have any questions about permissions,
please contact the Society.
회원님은 논문 이용 권한이 없습니다.
권한 관련 문의는 학회로 부탁 드립니다.
|[ Original Article ]|
|Korean Journal of Clinical Psychology - Vol. 39 , No. 1
|ISSN: 2733-4538 (Online)|
| publication date 28 Feb 2020|
|Received 08 Sep 2019 Revised 15 Jan 2020 Accepted 20 Jan 2020|
|여대생의 대학생활적응과 우울의 관계: 사회연결망의 조절효과를 중심으로|
홍지은 ; 김보은 ; 최승원 †
Relationship between College Life Adjustment and Depression among Female University Students: Moderating Effects of Social Networks
Ji-eun Hong ; Bo-eun Kim ; Sung-Won Choi†
|Department of Psychology, Duksung Women’s University, Seoul, Korea|
|Correspondence to : †Sung-Won Choi, Department of Psychology, Duksung Women’s University, 33 Samyang-ro 144-gil, Dobong-gu, Seoul, Korea; E-mail: email@example.com|
© 2020 Korean Clinical Psychology Association
Funding Information ▼
본 연구는 성인 초기 대학생들의 대학생활적응과 우울의 관계에 대해 살펴보고, 그 과정에서 사회연결망의 조절효과를 검증하였다. 구체적으로, 사회연결망의 기존 측정 방식인 크기나 접촉빈도에서 나아가 질적인 의미를 반영한 ‘친밀연결망’과 ‘상의연결망’ 지표를 탐색하고자 하였다. 이를 위해 대학생 145명을 대상으로 대학생활적응, 우울 척도를 실시하고, 사회연결망을 측정하였다. 그 결과, 대학생활적응은 우울과 부적인 관계를 나타냈고, 대학생활적응과 우울의 관계에서 지인연결망 크기의 조절효과는 유의하지 않았으나 친밀연결망과 상의연결망의 조절효과는 유의한 것으로 나타났다. 즉, 대학생활에서 부적응을 겪는 학생들에게 친밀감을 느끼고 상의할 수 있는 인적 자원은 우울의 예방적 측면에서 중요한 요인으로 작동하고 있음을 알 수 있다. 본 연구의 결과를 바탕으로 연구의 의의 및 제한점을 검토하고 임상적 시사점을 논의하였다.
This study aims to assess the relationship between college adaptation and depression in early adult college female students and examine the moderating effects of social networks within this process. Specifically, this study evaluated the “Intimacy Network” and “Discussion Network” indicators, which represent the qualitative aspects of social networks. A total of 145 college students completed a survey comprising the following instruments: Student Adaptation to College Questionnaire (SACQ), the Korean version of the Center for Epidemiological Studies Depression Scale (CES-D), and a general social survey name generator. Results regarding adaptation to college life showed a negative relationship with depression. Although the moderating effect of network size was not significant, the moderating effect of intimacy networks and discussion networks was significant. This study emphasizes the role of human resources in mediating the level of depression among college students by highlighting the importance of intimacy and the ability to have in-depth discussions with other people. By examining the changes in psychological views and implementing a new estimation method that complements the existing network indicators, this study shows the practical value of analyzing the social relationships of college students. Finally, the limitations and clinical implications of this study are also discussed.
|Keywords: depression, college adaptation, intimacy network, discussion network, name generator
키워드: 우울, 대학생활적응, 친밀연결망, 상의연결망, 이름추출법
This research was supported by the Duksung Women’s University Research Grants 2018, and this manuscript is a revision and amendment of the first author’s master’s thesis from Duksung Women’s University.
|1.||Ahn, D. H., & Choi, H. R. (2012). The relationships between academic motivation, social support, and academic achievement of high school students. The Research Institute of Korean Education, 30, 145-164.|
|2.||American Psychiatric Association. (2017). What is depression? Retrieved from https://www.psychiatry.org/patients-families/depression/what-is-depression.|
|3.||Bacikova-Sleskova, M., van Dijk, J. P., Geckova, A. M., Nagyova, I., Salonna, F., Reijneveld, S. A., & Groothoff, J. W. (2007). The impact of unemployment on school leavers’ perception of health: The mediating effect of financial situation and social contacts? International Journal of Public Health, 52, 180-187.
|4.||Baker, R. W., & Siryk, B. (1984). Measuring adjustment to college. Journal of counseling psychology, 31, 179-189.
|5.||Barger, S. D., Messerli-Bürgy, N., & Barth, J. (2014). Social relationship correlates of major depressive disorder and depressive symptoms in Switzerland: Nationally representative cross-sectional study. BMC Public Health, 14, 273.
|6.||Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
|7.||Burt, R. S. (1984). Network items and the general social survey. Social networks, 6, 293-339.
|8.||Cho, I. J., Do, H. S., & Goo, H. S. (2015). The effects of stress, self esteem, and physical activity on mental health in college students. Social Science Research, 31, 85-105.
|9.||Cho, M. J., & Kim, K. H. (1993). Diagnostic validity of the CES-D (Korean version) in the assessment of DSM-III-R major depression. Journal of Korean Neuropsychiatric Association, 32, 381-399.|
|10.||Coleman, J. S. (1987). Social capital and the development of youth. Journal of Education Science, 18, 6-8.|
|11.||Davila, J., Hershenberg, R., Feinstein, B. A., Gorman, K., Bhatia, V., & Starr, L. R. (2012). Frequency and quality of social networking among young adults: Associations with depressive symptoms, rumination, and co-rumination. Psychology of Popular Media Culture, 1, 72-86.
|12.||Demir, M., & Urberg, K. A. (2004). Friendship and adjustment among adolescents. Journal of Experimental Child Psychology, 88, 68-82.
|13.||Essau, C. A., Conradt, J., & Petermann, F. (2000). Frequency, comorbidity, and psychosocial impairment of depressive disorders in adolescents. Journal of Adolescent Research, 15, 470-481.
|14.||Gadassi, R., Waser, A., & Gati, I. (2015). Gender differences in the association of depression with career indecisiveness, career-decision status, and career-preference crystallization. Journal of Counseling Psychology, 62, 632-641.
|15.||Gentry, L. A., Chung, J. J., Aung, N., Keller, S., Heinrich, K. M., & Maddock, J. E. (2007). Gender differences in stress and coping among adults living in Hawaii. Californian Journal of Health Promotion, 5, 89-102.
|16.||Health Insurance Review & Assessment Service-National. (2018). Disease information as a result of statistics. Retrieved from http://www.hira.or.kr/re/stcIlnsInfm/seasonslnsInfm.do?pgmid=HIRAA030502000000.|
|17.||House, J. S. (1983). Work stress and social support. Reading, MA: Addison-Wesley.|
|18.||Huff, R. F. (2011). Friendship networks, perceived reciprocity of support, and depression (Unpublished master’s thesis). University of South Florida. Florida, United States of America.|
|19.||Hyun, J. W. (1992). Effect of perfectionism and evaluations on the task performance (Unpublished master’s thesis). Yonsei University. Seoul, Korea.|
|20.||Jung, D. H. (2009). The effects of stress coping on life stress and it’s related anxiety and depression in university students. The Journal of Research in Education, 33, 221-244.|
|21.||Jung, E. I., & Park, Y. H. (2008). Relations among faculty trust, learning motivation, and school adjustment of college students. Asian Journal of Education, 9, 73-93.
|22.||Kirby, L. A., Moraczewski, D., Warnell, K., Velnoskey, K., & Redcay, E. (2018). Social network size relates to developmental neural sensitivity to biological motion. Developmental Cognitive Neuroscience, 30, 169-177.
|23.||Lee, E. H. (2004). Life stress and depressive symptoms among college students: Testing for moderating effects of coping style with structural equations. Korean Journal of Health Psychology, 9, 25-52.|
|24.||Lee, H. R., & Song, J. Y. (2004). The effect of perceived social support on career exploration behaviors of college students. Korean Journal of Counseling, 5, 393-407.|
|25.||Lee, M. A. (2013). The u-shaped relationship between the size of social networks and depressive symptoms: Examining the moderating effect of interpersonal trust. Korean Journal of Sociology, 31, 171-200.|
|26.||Lee, S. H., Jeong, H. S., Lee, D. W., Park, K. H., Yun, Z. Y., & Park, J. J. (2009). Influence of anxiety, depression and stress on adjustment to college in freshmen of a university. Korean Journal of Family Medicine, 30, 796-804.
|27.||Park, C. U., & Bae, Y. (2016). The effects of social networks on depression: Focused on type, size and density of networks. The Population Association of Korea, 39, 61-77.|
|28.||Park, J. A. (2019). The effect of self-determination and personal-major fit of college students on adjustment to college: Analysis of the admission type and major of the department (Unpublished master’s thesis). Ewha Womans University. Seoul, Korea.|
|29.||Park, M., Choi, J., Lee, E. Y., & Park, M. (2014). Effects of college life characteristics on depression, anxiety, and somatic symptoms among freshmen. The Journal of the Korea Contents Association, 14, 346-355.
|30.||Park, U. S., & Cho, Y. C. (2018). Depression symptom levels and its related factors among college students. Korea Academia-Industrial cooperation Society, 19, 219-230.|
|31.||Peirce, R. S., Frone, M. R., Russell, M., Cooper, M. L., & Mudar, P. (2000). A longitudinal model of social contact, social support, depression, and alcohol use. Health Psychology, 19, 28-38.
|32.||Podolny, J. M. (2001). Networks as the pipes and prisms of the market. American journal of sociology, 107, 33-60.
|33.||Prager, K. J. (1997). The psychology of intimacy. New York, NY: Guilford Press, 23-27.|
|34.||Rueger, S. Y., Malecki, C. K., & Demaray, M. K. (2010). Relationship between multiple sources of perceived social support and psychological and academic adjustment in early adolescence: Comparisons across gender. Journal of Youth and Adolescence, 39, 47-61.
|35.||Seeman, T. E., Lusignolo, T. M., Albert, M., & Berkman, L. (2001). Social relationships, social support, and patterns of cognitive aging in healthy, high-functioning older adults: MacArthur studies of successful aging. Health Psychology, 20, 243-255.
|36.||Stephens, D. P., & Thomas, T. L. (2014). Social networks influence Hispanic college women’s HPV vaccine uptake decision-making processes. Women’s Reproductive Health, 1, 120-137.
|37.||Teo, A. R., Choi, H., & Valenstein, M. (2013). Social relationships and depression: Ten-year follow-up from a nationally representative study. PloS one, 8, e62396.
|38.||Thelen, M. H. (1993). The fear-of-intimacy scale: Replication and extension. Psychological Assessment, 5, 377-383.
|39.||Manap, R., Hamid, S. A., & Ghani, M. A. (2019). Depression, anxiety and stress and among undergraduate students. e-Bangi, 16.|
|40.||Matud, M. P. (2004). Gender differences in stress and coping styles. Personality and Individual Differences, 37, 1401-1415.
|41.||Nguyen, A. W., Walton, Q. L., Thomas, C., Mouzon, D. M., & Taylor, H. O. (2019). Social support from friends and depression among African Americans: The moderating influence of education. Journal of Affective Disorders, 253, 1-7.
|42.||Swift, A., & Wright, M. O. D. (2000). Does social support buffer stress for college women: When and how? Journal of College Student Psychotherapy, 14, 23-42.
|43.||Wingo, J., Kalkut, E., Tuminello, E., Asconape, J., & Han, S. D. (2013). Executive functions, depressive symptoms, and college adjustment in women. Applied Neuropsychology: Adult, 20, 136-144.
|44.||Yang, J. I., & Jo, I. J. (2019). The moderating effects of ego-identity and social support on the relation between life-stress and depression in college freshmen. The Journal of Humanities and Social Science, 21, 717-730.