Perceived social support from family and friends and bullying victimization among adolescents

Shaheen, Abeer; Hamdan, Khaldoun M.; Othman, Areej; Amre, Huda M.; Hazeem, Mohammed Nabeel Abu

doi:10.1016/j.childyouth.2019.104503

Cited by 39 publications

(43 citation statements)

References 56 publications

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“…From 1990 to 2016, the burden of mental disorders globally was enormous, with an estimated 1.1 billion population affected by mental or substance use disorders [ 9 ]. A growing body of literature has demonstrated that the amount and quality of social support from relatives, friends, neighbors, and the community are pivotal factors in positively affecting a person’s physical and mental health [ 10 , 11 , 12 ] and acts as a form of prevention against harmful behaviors and distressing emotions [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Yang

Yao

2020

IJERPH

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Employing a national representative survey (the China Labor-force Dynamics Survey 2016, CLDS2016) data (N = 14246), this paper examines the heterogeneous influences of social support on individual physical and mental health in China. Social support is characterized by four dimensions: emotional support, tangible or instrumental support, interaction or exchange support, and community support. Physical health is measured by self-rated health and body mass index (BMI), while mental health is measured by depression, hopelessness, failure, fear, loneliness, and meaninglessness. The results indicate that different dimensions of social support have heterogeneous effects on individual physical and mental health. Specifically, the correlation between emotional support and individual physical health is not significant, but emotional support is significantly related to some mental health variables. Tangible or instrumental support is significantly related to individual self-rated physical health but not to BMI or mental health. Interaction or exchange support is significantly correlated with individual self-rated health and some mental health variables. In general, there are significant correlations between community support, and individual physical and mental health. The results also suggest that the influences of social support on physical and mental health of individuals at different ages (<60 years and ≥60 years) are heterogeneous. The results of this study provide direction for the dimension selection of social support to promote individual health.

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Section: Introductionmentioning

confidence: 99%

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Yang

Yao

2020

IJERPH

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“…Risk factor studies focus on characteristics that put someone at risk of cyberaggression [23]. Furthermore, 5 articles dealt with risk factors, such as age, oversharing tendencies, financial disposition, educational background, social media activity, and social status [1, [23][24][25][26]. Predictive factors are behaviors that correlate with involvement in cyberbullying or cybervictimization, and 4 articles dealt with predictive factors of cybervictimization [17,24,27,28].…”

Section: Landscape Of Cyberbullying Researchmentioning

confidence: 99%

“…Furthermore, 5 articles dealt with risk factors, such as age, oversharing tendencies, financial disposition, educational background, social media activity, and social status [1, [23][24][25][26]. Predictive factors are behaviors that correlate with involvement in cyberbullying or cybervictimization, and 4 articles dealt with predictive factors of cybervictimization [17,24,27,28]. Predictive factors included parental status, access to goods, academic standings, and personal identity.…”

Section: Landscape Of Cyberbullying Researchmentioning

confidence: 99%

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Implications and Preventions of Cyberbullying and Social Exclusion in Social Media: Systematic Review

Ademiluyi¹,

Li²,

Park³

2022

JMIR Form Res

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Background The growth of social networking has created a paradigm in which many forms of personal communication are being replaced by internet communication technologies, such as social media. This has led to social issues, such as cyberbullying. In response, researchers are investigating cyberbullying to determine its implications in various life sectors. Objective This manuscript reviews the methods, results, and limitations of the current cyberbullying research and discusses the physical and mental repercussions of cyberbullying and social exclusion as well as methods of predicting and counteracting these events. On the basis of the findings, we discuss future research directions. Methods Using ScienceDirect, ACM Digital Library, and PubMed, 34 research articles were used in this review. A review was conducted using the selected articles with the goal of understanding the current landscape of cyberbullying research. Results Studies have analyzed correlations between depressive and suicidal ideations in subjects as well as relationships in the social, educational, and financial status of the perpetrators. Studies have explored detection methods for monitoring cyberbullying. Automated detection has yet to become effective and accurate; however, several factors, such as personal background and physical appearance, have been identified to correlate with the likelihood that a person becomes a survivor or perpetrator of web-based cybervictimization. Social support is currently common in recovery efforts but may require diversification for specific applications in web-based incidents. Conclusions Relations between social status, age, gender, and behaviors have been discovered that offer new insights into the origins and likeliness of cyberbullying events. Rehabilitation from such events is possible; however, automatic detection is not yet a viable solution for prevention of cyberbullying incidents. Effects such as social exclusion and suicidal ideations are closely tied to incidents of cyberbullying and require further study across various social and demographical populations. New studies should be conducted to explore the experiences of survivors and perpetrators and identify causal links. The breadth of research includes demographics from China, Canada, Taiwan, Iran, the United States, and Namibia. Wider ranges of national populations should be considered in future studies for accurate assessments, given global internet communication technology activity. The studies emphasize the need for formal classification terminology. With formal classification, researchers will have a more definite scope, allowing specific research on a single definable topic rather than on general bullying events and symptoms. Of all the studies, 2 used a longitudinal design for their research methodology. The low number of longitudinal studies leaves gaps between causation and correlation, and further research is required to understand the effects of cyberbullying. Research addressing ongoing victimization is required for the various forms of cyberbullying; social support offers the most effective current standard for prevention.

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“…While there is a significant relation between gender and level of academic stress for university students, social support would be the moderator of this stress level. Women were perceived to receive more social support from both friends and family in comparison to men (Bordes et al 2006;Lee and Goldstein, 2016;Nicpon et al 2006;Rodríguez et al 2017;Shaheen et al 2019). In Malaysian context Lim et al (2020) reveals, there is meaningful difference amongst Malaysian male and female students in social support, as male students receives less support than female students.…”

Section: Social Supportmentioning

confidence: 99%

Decomposition of gender, self-esteem, social support and family support differentials among university students

et al. 2021

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Parental education disparities can be directly linked to the environment in which children grow up and attain education. This study focuses on the influence of parental education on university students' social support and self-esteem. Three thousand five hundred and twelve first-year students in a public university in Malaysia participated in the study. Results of ordinary least squares (OLS) and Probit regression showed direct relationship of the variables. Malaysian-Chinese and Malaysian-Indian students, especially female students of the two mentioned categories whose parents had no tertiary education had significantly lower self-esteem. Technology and engineering students with parents who had no tertiary education received significantly lower family support compared to arts and applied arts students. These results highlight how family background can have a profound impact on children's educational performances. The implication of this study can be useful for future intervention programs targeting first-generation university students.

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Perceived social support from family and friends and bullying victimization among adolescents

Cited by 39 publications

References 56 publications

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Implications and Preventions of Cyberbullying and Social Exclusion in Social Media: Systematic Review

Decomposition of gender, self-esteem, social support and family support differentials among university students

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