Peer Victimization and Nonsuicidal Self-Injury Among Chinese Left-Behind Children: The Moderating Roles of Subjective Socioeconomic Status and Social Support

Abstract

Peer victimization is a serious issue among school-aged children. Chinese left-behind children tend to experience peer victimization and associated nonsuicidal self-injury (NSSI) behavior. However, the possible improvement of subjective socioeconomic status (SES) based on increased family income may serve to buffer the relationship between peer victimization and NSSI, and this buffering effect may differ by level of social support. Thus, the current study aimed to examine the moderating effect of subjective SES on the relationship between peer victimization and NSSI by the level of social support among Chinese left-behind children. A total of 431 left-behind children and 447 non-left-behind children (comparison group) completed self-report scales measuring peer victimization, NSSI, subjective SES, and social support. Results showed that peer victimization was positively related to NSSI among left-behind children, but not among non-left-behind children. Moreover, for left-behind children with low levels of social support, high subjective SES intensified the association between peer victimization and NSSI; peer victimization was positively associated with NSSI among left-behind children who reported high subjective SES, but not among those with low subjective SES. However, high levels of social support seemed to protect the left-behind children with high subjective SES who experienced peer victimization from NSSI. For non-left-behind children with both parents present, high subjective SES played a protective role in the association between peer victimization and NSSI, regardless of the levels of social support they enjoyed. These findings contribute to an understanding of subjective SES as a moderating mechanism in the association between peer victimization and NSSI among left-behind children. Social support proved central to the protective role of subjective SES. Intervention programs to enhance social support can help to strengthen the protective effect of subjective SES on NSSI among left-behind children who experience peer victimization.

Keywords

peer victimization subjective socioeconomic status social support nonsuicidal self-injury Chinese left-behind children

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References

Adler

N. E.

Epel

E. S.

Castellazzo

Ickovics

J. R.

(2000). Relationship of subjective and objective social status with psychological and physiological functioning: Preliminary data in healthy white women. Health Psychology, 19, 586–592.

Agnew

(1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30, 47–87.

Agnew

(2001). Building on the foundation of general strain theory: Specifying the types of strain most likely to lead to crime and delinquency. Journal of Research in Crime and Delinquency, 38, 319–361.

Agnew

(2006). Pressured into crime: An overview of general strain theory. Roxbury Publishing.

Aiken

L. S.

West

S. G.

(1991). Multiple regression: Testing and interpreting interactions. SAGE.

Assari

Preiser

Lankarani

Caldwell

C. H.

(2018). Subjective socioeconomic status moderates the association between discrimination and depression in African American youth. Brain Science, 8, E71. https://doi.org/10.3390/brainsci8040071

Bowlby

(1977). The making and breaking of affectional bonds—I: Aetiology and psychopathology in the light of attachment theory. British Journal of Psychiatry, 130, 201–210.

Chester

K. L.

Callaghan

Cosma

Donnelly

Craig

Walsh

Molcho

W. M.

(2015). Cross-national time trends in bullying victimization in 33 countries among children aged 11, 13 and 15 from 2002 to 2010. European Journal of Public Health, 25, 61–64.

Claes

Luyckx

Baetens

Van de Ven

Witteman

(2015). Bullying and victimization, depressive mood, and non-suicidal self-injury in adolescents: The moderating role of parental support. Journal of Child and Family Studies, 24, 3363–3371.

10.

Cohen

Wills

T. A.

(1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98, 310–357.

11.

Coleman

J. S.

(1988). Social capital in the creation of human capital. American Journal of Sociology, 94, S95–S120.

12.

Eisenberger

N. I.

Taylor

S. E.

Gable

S. L.

Hilmert

C. J.

Lieberman

M. D.

(2007). Neural pathways link social support to attenuated neuroendocrine stress responses. NeuroImage, 35, 1601–1612.

13.

Gratz

K. L.

(2001). Measurement of deliberate self-harm: Preliminary data on the Deliberate Self-Harm Inventory. Journal of Psychopathology & Behavioral Assessment, 23, 253–263.

14.

Gruenewald

T. L.

Kemeny

M. E.

Aziz

(2006). Subjective social status moderates cortisol responses to social threat. Brain, Behavior, and Immunity, 20, 410–419.

15.

Hawker

D. S.

Boulton

M. J.

(2000). Twenty years’ research on peer victimization and psychosocial maladjustment: A meta-analytic review of cross-sectional studies. Journal of Child Psychology and Psychiatry, 41, 441–455.

16.

Hay

Meldrum

(2010). Bullying victimization and adolescent self-harm: Testing hypotheses from general strain theory. Journal of Youth and Adolescence, 39, 446–459.

17.

Hooker

E. D.

Campos

Zoccola

P. M.

Dickerson

S. S.

(2018). Subjective socioeconomic status matters less when perceived social support is high: A study of cortisol responses to stress. Social Psychological and Personality Science, 9, 981–989.

18.

Huang

Ling

(2018). The relationship between peer bullying and depression and anxiety among left-behind junior middle school students. Journal of Xihua University (Philosophy & Social Sciences), 2018, 102–107.

19.

Huynh

V. W.

Chiang

J. J.

(2018). Subjective social status and adolescent health: The role of stress and sleep. Youth & Society, 50, 926–946.

20.

Jackson

Chou

Browne

(2017). Protective factors against child victimization in the school and community: An exploratory systematic review of longitudinal predictors and interacting variables. Trauma, Violence, & Abuse, 18, 303–321.

21.

Jantzer

Haffner

Parzer

Resch

Kaess

(2015). Does parental monitoring moderate the relationship between bullying and adolescent non-suicidal self-injury and suicidal behavior? A community-based self-report study of adolescents in Germany. BMC Public Health, 15, Article 583. https://doi.org/10.1186/s12889-015-1940-x

22.

Jin

(2016). Migration, relative deprivation, and psychological well-being in China. American Behavioral Scientist, 60, 750–770.

23.

Kraus

M. W.

Piff

P. K.

Keltner

(2009). Social class, sense of control, and social explanation. Journal of Personality and Social Psychology, 97, 992–1004.

24.

Lazarus

R. S.

(1993). Coping theory and research: Past, present, and future. Psychosomatic Medicine, 55, 234–247.

25.

Liu

R. T.

Cheek

S. M.

Nestor

B. A.

(2016). Non-suicidal self-injury and life stress: A systematic meta-analysis and theoretical elaboration. Clinical Psychology Review, 47, 1–14.

26.

Lundh

L. G.

Karim

Quilisch

(2007). Deliberate self-harm in 15-year-old adolescents: A pilot study with a modified version of the Deliberate Self-Harm Inventory. Scandinavian Journal of Psychology, 48, 33–41.

27.

Luo

(2015). The effect of a family’s social-economic status on left-at-home children’s peer relationship. Chinese Journal of Special Education, 2, 78–83.

28.

Ministry of Civil Affairs of the People’s Republic of China. (2018). Report on left-behind children in rural areas in 2018. http://www.mca.gov.cn/article/gk/tjtb/201809/20180900010882.shtml

29.

Modecki

K. L.

Minchin

Harbaugh

A. G.

(2014). Bullying prevalence across contexts: A meta-analysis measuring cyber and traditional bullying. Journal of Adolescent Health, 55, 602–611.

30.

Mynard

Joseph

(2000). Development of the Multidimensional Peer-Victimization Scale. Aggressive Behavior, 26, 169–178.

31.

Nakashima

Yanagisawa

(2015). Subjective socioeconomic status and departmental identity interact to reduce depressive tendencies and negative affective responding for female undergraduates. Japanese Psychological Research, 57, 113–125.

32.

Nock

M. K.

(2010). Self-injury. Annual Review of Clinical Psychology, 6, 339–363.

33.

On the Road to School. (2017). 2017 Report of the mental state of Chinese left-behind children. New West, 1, 11–15.

34.

Paternoster

Brame

Mazerolle

Piquero

(1998). Using the correct statistical test for the equality of regression coefficients. Criminology, 36, 859–866.

35.

Quon

E. C.

McGrath

J. J.

(2014). Subjective socioeconomic status and adolescent health: A meta-analysis. Health Psychology, 33, 433–447.

36.

Reichl

Heyer

Brunner

Parzer

Volker

J. M.

Resch

Kaess

(2016). Hypothalamic-pituitary-adrenal axis, childhood adversity and adolescent nonsuicidal self-injury. Psychoneuroendocrinology, 74, 203–211.

37.

Sampasa-Kanyinga

Hamilton

H. A.

(2016). Does socioeconomic status moderate the relationships between school connectedness with psychological distress, suicidal ideation and attempts in adolescents? Preventive Medicine, 87, 11–17.

38.

Shen

J. L.

(2009). The psychological development and education of disadvantaged children. Economic Science Press.

39.

Singh-Manoux

Adler

N. E.

Marmot

M. G.

(2003). Subjective social status: Its determinants and its association with measures of ill-health in the Whitehall II study. Social Science & Medicine, 56, 1321–1333.

40.

Singh-Manoux

Marmot

M. G.

Adler

N. E.

(2005). Does subjective social status predict health and change in health status better than objective status? Psychosomatic Medicine, 67, 855–861.

41.

Chang

Sun

(2010). Self-injurious behavior among rural stay-at-home middle school students and its relationship with internal and external locus of control. Chinese Journal of Public Health, 26, 868–869.

42.

Swannell

S. V.

Martin

G. E.

Page

Hasking

St John

N. J.

(2014). Prevalence of nonsuicidal self-injury in nonclinical samples: Systematic review, meta-analysis and meta-regression. Suicide and Life-Threatening Behavior, 44, 273–303.

43.

Sweeting

Hunt

(2015). Adolescent socioeconomic and school-based social status, smoking, and drinking. Journal of Adolescent Health, 57, 37–45.

44.

Vanderbilt-Adriance

Shaw

D. S.

(2008). Conceptualizing and re-evaluating resilience across levels of risk, time, and domains of competence. Clinical Child and Family Psychology Review, 11, 30–58.

45.

Van Geel

Goemans

Vedder

. (2015). A meta-analysis on the relation between peer victimization and adolescent non-suicidal self-injury. Psychiatry Research, 230, 364–368.

46.

Wang

Liu

(2019). Peer victimization, depressive symptoms and non-suicidal self-injury behavior in Chinese migrant children: The roles of gender and stressful life events. Psychology Research and Behavior Management, 12, 661–673.

47.

Wei

Liu

(2017, November 3). A longitudinal study of relations between bullying victimization and adolescents’ self-injury: Mediating effect of adolescents’ depression and loneliness [Conference session]. The 20th National Academic Congress of Psychology, Chongqing, China.

48.

Wen

Lin

(2015). Positive youth development in rural China: The role of parental migration. Social Science & Medicine, 132, 261–269.

49.

Wetherall

Robb

K. A.

O’Connor

R. C.

(2019). Social rank theory of depression: A systematic review of self-perceptions of social rank and their relationship with depressive symptoms and suicide risk. Journal of Affective Disorders, 246, 300–319.

50.

Wilkinson

R. G.

(1999). Health, hierarchy, and social anxiety. Annals of the New York Academy of Sciences, 896, 48–63.

51.

Wen

Wang

Lin

(2019). Subjective family socio-economic status, school social capital, and positive youth development among young adolescents in China: A multiple mediation model. International Journal of Psychology. Advance online publication. https://doi.org/10.1002/ijop.12583

52.

Zhang

Zhou

Cao

(2019). Bullying victimization among left-behind children in rural China: Prevalence and associated risk factors. Journal of Interpersonal Violence. Advance online publication. https://doi.org/10.1177/0886260519843287

53.

Zhang

W. X.

(2002). Prevalence and major characteristics of bullying/victimization among primary and junior middle school children. Journal of Chinese Psychology Acta Psychologica Sinica, 34, 387–394.

54.

Zhao

Wang

(2018). The transmission of anxiety from left-behind women to children: Moderated mediating effect. Psychological Development and Education, 34, 724–731.

55.

Zhu

Lei

(2005). The relationship between perceptions of control and victimization of adolescents. Psychological Development and Education, 21, 91–95.

56.

Zimet

G. D.

Dahlem

N. W.

Zimet

S. G.

Farley

G. K.

(1988). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52, 30–41.