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@ARTICLE{Ugwu:276777,
      author       = {L. E. Ugwu and E. S. Idemudia and O. O. Chukwu and M. C. C.
                      Onyedibe$^*$},
      title        = {{M}easuring the {I}mpact of {S}ocial {M}edia on {Y}oung
                      {P}eople's {M}ental {H}ealth: {D}evelopment and {V}alidation
                      of the {S}ocial {M}edia-{I}nduced {T}endency {S}cale.},
      journal      = {Depression research and treatment},
      volume       = {Volume 2023},
      issn         = {2090-1321},
      address      = {New York, NY [u.a.]},
      publisher    = {Hindawi},
      reportid     = {DKFZ-2023-01158},
      pages        = {Article ID 8677521},
      year         = {2023},
      note         = {#LA:C110# / Volume 2023 | Article ID 8677521},
      abstract     = {Social media use has been linked to adverse health outcomes
                      such as depression. To facilitate interventions,
                      understanding the varied causes of depression is necessary.
                      The authors developed a social media-induced depression
                      tendency (SMIDT) scale for use with young people and aimed
                      to validate it for young people in Nigeria. The study was
                      conducted in three parts using an online survey (Google
                      Forms) with purposive sampling targeting young people. Study
                      1 was an exploratory study that developed the SMIDT scale
                      with 361 young people aged 16 to 26 years (mean age =
                      22.81). A concise measure of SMIDT was obtained. In study 2,
                      confirmatory factor analysis was performed on the SMIDT with
                      young people aged 17 to 25 years (mean age = 23.61).
                      Construct, discriminant, and concurrent validities were
                      established, and three factors were identified
                      (sensitivity/attention seeking, worthlessness, and
                      escapism/reality avoidance), which explained $55.87\%$ of
                      the variance. Study 3 tested the predictive validity of the
                      scale. The results showed that the 15-item SMIDT scale had
                      high internal consistency and satisfactory validity. The
                      SMIDT scale can enable the assessment of factors associated
                      with social media-induced depression tendency. The three
                      factors identified in the scale provide insight into the
                      factors contributing to depression associated with social
                      media use. The SMIDT scale has the potential to help
                      identify at-risk individuals and in-developing interventions
                      to prevent or reduce social media-induced depression
                      tendencies. However, this study only focused on young people
                      in Nigeria. Additional studies using the SMIDT scale are
                      required to assess its generalizability and applicability in
                      evaluating other factors, such as quality of life among
                      young people. Moreover, while social media use has been
                      associated with adverse health outcomes, it is crucial to
                      recognize that it can also positively affect mental health.
                      Further research is necessary to explore the complex
                      relationships between social media use and mental health
                      outcomes.},
      cin          = {C110},
      ddc          = {610},
      cid          = {I:(DE-He78)C110-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37305812},
      pmc          = {pmc:PMC10256438},
      doi          = {10.1155/2023/8677521},
      url          = {https://inrepo02.dkfz.de/record/276777},
}