Social comparisons, social media addiction, and social interaction: An examination of specific social media behaviors related to major depressive disorder in a millennial population

Q1 Social Sciences JOURNAL OF APPLIED BIOBEHAVIORAL RESEARCH Pub Date : 2019-01-08 DOI:10.1111/jabr.12158
Anthony Robinson, Aaron Bonnette, Krista Howard, Natalie Ceballos, Stephanie Dailey, Yongmei Lu, Tom Grimes
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引用次数: 56

Abstract

Although studies have shown that increases in the frequency of social media use may be associated with increases in depressive symptoms of individuals with depression, the current study aimed to identify specific social media behaviors related to major depressive disorder (MDD). Millennials (N = 504) who actively use Facebook, Twitter, Instagram, and/or Snapchat participated in an online survey assessing major depression and specific social media behaviors. Univariate and multivariate analyses were conducted to identify specific social media behaviors associated with the presence of MDD. The results identified five key social media factors associated with MDD. Individuals who were more likely to compare themselves to others better off than they were (p = 0.005), those who indicated that they would be more bothered by being tagged in unflattering pictures (p = 0.011), and those less likely to post pictures of themselves along with other people (p = 0.015) were more likely to meet the criteria for MDD. Participants following 300 + Twitter accounts were less likely to have MDD (p = 0.041), and those with higher scores on the Social Media Addiction scale were significantly more likely to meet the criteria for MDD (p = 0.031). Participating in negative social media behaviors is associated with a higher likelihood of having MDD. Research and clinical implications are considered.

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社会比较、社交媒体成瘾和社会互动:对千禧一代人群中与重度抑郁症相关的特定社交媒体行为的研究
虽然有研究表明,社交媒体使用频率的增加可能与抑郁症患者抑郁症状的增加有关,但目前的研究旨在确定与重度抑郁症(MDD)相关的特定社交媒体行为。积极使用Facebook、Twitter、Instagram和/或Snapchat的千禧一代(N = 504)参加了一项评估重度抑郁症和特定社交媒体行为的在线调查。进行了单变量和多变量分析,以确定与重度抑郁症存在相关的特定社交媒体行为。结果确定了与重度抑郁症相关的五个关键社交媒体因素。那些更有可能把自己和比自己富裕的人比较的人(p = 0.005),那些表示自己更愿意被贴上不讨人喜欢的照片的人(p = 0.011),那些不太可能把自己和别人一起的照片贴出来的人(p = 0.015),更有可能符合重度抑郁症的标准。关注300多个Twitter账户的参与者患重度抑郁症的可能性较小(p = 0.041),而在社交媒体成瘾量表上得分较高的参与者更有可能符合重度抑郁症的标准(p = 0.031)。参与消极的社交媒体行为与患重度抑郁症的可能性更高有关。研究和临床意义的考虑。
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来源期刊
CiteScore
2.70
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0.00%
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期刊介绍: The Journal of Applied Biobehavioral Research, launched in 1993, aims to disseminate findings of behavioral science research which have applications to current problems of society. By publishing relevant research and emphasizing the excellence of experimental design, as well as potential applicability of experimental results, the journal bridges the theoretical and applied areas of biobehavioral research. The Journal of Applied Biobehavioral Research serves as a means of communication among scientists, as well as between researchers and those engaged in the task of solving social and biomedical problems.
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