Correlations between the variables.
<div><p>Evening-types are at higher risk of problematic smartphone use and addiction to social media, but little is known about the possible mediating factors. Given the rising prevalence and broad negative impacts of smartphone and social media addiction, these factors require identific...
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2025
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| _version_ | 1852016677461426176 |
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| author | Anna-Stiina Wallinheimo (10696540) |
| author2 | Simon L. Evans (9597837) |
| author2_role | author |
| author_facet | Anna-Stiina Wallinheimo (10696540) Simon L. Evans (9597837) |
| author_role | author |
| dc.creator.none.fl_str_mv | Anna-Stiina Wallinheimo (10696540) Simon L. Evans (9597837) |
| dc.date.none.fl_str_mv | 2025-09-12T17:23:48Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0331961.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Correlations_between_the_variables_/30113908 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Science Policy Mental Health Virology Biological Sciences not elsewhere classified validated measures online tested mental health ranging negative impacts possible mediating factors poorer sleep quality link circadian preference factors require identification dysfunctional coping strategy crucial explanatory variables broad negative impacts problematic technology use significant mediating variable partial mediation occurred important findings point social media use young adults (< div >< p problematic smartphone use social media addiction social media young adults problematic smartphone important implications full mediation significant mediators n </ intervention strategies higher risk depression symptoms average age also associated 8 years |
| dc.title.none.fl_str_mv | Correlations between the variables. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Evening-types are at higher risk of problematic smartphone use and addiction to social media, but little is known about the possible mediating factors. Given the rising prevalence and broad negative impacts of smartphone and social media addiction, these factors require identification. Young adults (<i>N</i> = 407) aged 18–25, with an average age of 19.8 years, completed a battery of validated measures online. We tested mental health (anxiety and depression symptoms), loneliness, and poorer sleep quality as potential mediators in the relationships between eveningness and problematic smartphone use and social media addiction. As expected, evening types had higher prevalence of problematic smartphone use and social media addiction. Eveningness was also associated with higher anxiety and depression symptoms, loneliness, and poorer sleep quality. Two separate parallel mediation analyses were then conducted, with these three factors entered simultaneously as mediators. For problematic smartphone use, a partial mediation occurred, with loneliness as the significant mediating variable. For social media addiction, both loneliness and anxiety were significant mediators, and a full mediation was found. These important findings point to loneliness and anxiety as crucial explanatory variables for problematic technology use in young adults, suggesting that young adult evening types resort to smartphone/social media use as a dysfunctional coping strategy for loneliness and anxiety. Given the prevalence of problematic smartphone use and social media addiction amongst young people worldwide, and their wide-ranging negative impacts, this has important implications for prevention and intervention strategies to enhance young adults’ mental health, functioning, and well-being.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_de3a4de8afac4d8ecfbc649bbbfd317d |
| identifier_str_mv | 10.1371/journal.pone.0331961.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30113908 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Correlations between the variables.Anna-Stiina Wallinheimo (10696540)Simon L. Evans (9597837)Science PolicyMental HealthVirologyBiological Sciences not elsewhere classifiedvalidated measures onlinetested mental healthranging negative impactspossible mediating factorspoorer sleep qualitylink circadian preferencefactors require identificationdysfunctional coping strategycrucial explanatory variablesbroad negative impactsproblematic technology usesignificant mediating variablepartial mediation occurredimportant findings pointsocial media useyoung adults (<div >< pproblematic smartphone usesocial media addictionsocial mediayoung adultsproblematic smartphoneimportant implicationsfull mediationsignificant mediatorsn </intervention strategieshigher riskdepression symptomsaverage agealso associated8 years<div><p>Evening-types are at higher risk of problematic smartphone use and addiction to social media, but little is known about the possible mediating factors. Given the rising prevalence and broad negative impacts of smartphone and social media addiction, these factors require identification. Young adults (<i>N</i> = 407) aged 18–25, with an average age of 19.8 years, completed a battery of validated measures online. We tested mental health (anxiety and depression symptoms), loneliness, and poorer sleep quality as potential mediators in the relationships between eveningness and problematic smartphone use and social media addiction. As expected, evening types had higher prevalence of problematic smartphone use and social media addiction. Eveningness was also associated with higher anxiety and depression symptoms, loneliness, and poorer sleep quality. Two separate parallel mediation analyses were then conducted, with these three factors entered simultaneously as mediators. For problematic smartphone use, a partial mediation occurred, with loneliness as the significant mediating variable. For social media addiction, both loneliness and anxiety were significant mediators, and a full mediation was found. These important findings point to loneliness and anxiety as crucial explanatory variables for problematic technology use in young adults, suggesting that young adult evening types resort to smartphone/social media use as a dysfunctional coping strategy for loneliness and anxiety. Given the prevalence of problematic smartphone use and social media addiction amongst young people worldwide, and their wide-ranging negative impacts, this has important implications for prevention and intervention strategies to enhance young adults’ mental health, functioning, and well-being.</p></div>2025-09-12T17:23:48ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0331961.t003https://figshare.com/articles/dataset/Correlations_between_the_variables_/30113908CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301139082025-09-12T17:23:48Z |
| spellingShingle | Correlations between the variables. Anna-Stiina Wallinheimo (10696540) Science Policy Mental Health Virology Biological Sciences not elsewhere classified validated measures online tested mental health ranging negative impacts possible mediating factors poorer sleep quality link circadian preference factors require identification dysfunctional coping strategy crucial explanatory variables broad negative impacts problematic technology use significant mediating variable partial mediation occurred important findings point social media use young adults (< div >< p problematic smartphone use social media addiction social media young adults problematic smartphone important implications full mediation significant mediators n </ intervention strategies higher risk depression symptoms average age also associated 8 years |
| status_str | publishedVersion |
| title | Correlations between the variables. |
| title_full | Correlations between the variables. |
| title_fullStr | Correlations between the variables. |
| title_full_unstemmed | Correlations between the variables. |
| title_short | Correlations between the variables. |
| title_sort | Correlations between the variables. |
| topic | Science Policy Mental Health Virology Biological Sciences not elsewhere classified validated measures online tested mental health ranging negative impacts possible mediating factors poorer sleep quality link circadian preference factors require identification dysfunctional coping strategy crucial explanatory variables broad negative impacts problematic technology use significant mediating variable partial mediation occurred important findings point social media use young adults (< div >< p problematic smartphone use social media addiction social media young adults problematic smartphone important implications full mediation significant mediators n </ intervention strategies higher risk depression symptoms average age also associated 8 years |