Media consumption and mental health during COVID-19 lockdown: a UK cross-sectional study across England, Wales, Scotland and Northern Ireland.
Aim: As individuals adjust to new 'norms' and ways of living during the COVID-19 lockdown, there is a continuing need for up-to-date information and guidance. Evidence suggests that frequent media exposure is related to a higher prevalence of mental health problems, especially anxiety and depression...
| Publicado en: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 31; no. 3; pp. 435 - 444 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Mar2023
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=162113963&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 162113963 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Mar2023 vid: 31 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 162113963 10.1007/s10389-021-01506-0 ppf: 435 ppct: 9 formats: tig: atl: Media consumption and mental health during COVID-19 lockdown: a UK cross-sectional study across England, Wales, Scotland and Northern Ireland. aug: au: Neill, Ruth D Blair, Carolyn Best, Paul McGlinchey, Emily Armour, Cherie affil: School of Social Sciences, Education and Social Work, Queen's University Belfast, 6 College Park Ave, BT7 1PS, Belfast, Northern Ireland, UK Stress, Trauma, and Related Conditions (STARC) Research Lab, School of Psychology, Queen's University Belfast, Malone Road, BT9 5BN, Belfast, Northern Ireland, UK su: United Kingdom Mental depression risk factors Mass media Social media Cross-sectional method Age distribution Psychological tests Sex distribution Anxiety Statistics COVID-19 Confidence intervals One-way analysis of variance Multivariate analysis Risk assessment Surveys Questionnaires Descriptive statistics Stay-at-home orders Logistic regression analysis Data analysis software Data analysis sug: subj: Mental depression risk factors Mass media Social media Cross-sectional method Age distribution Psychological tests Sex distribution Anxiety United Kingdom Statistics COVID-19 Confidence intervals One-way analysis of variance Multivariate analysis Risk assessment Surveys Questionnaires Descriptive statistics Stay-at-home orders Logistic regression analysis Data analysis software Data analysis keyword: Depression Media consumption Mental health Depression Media consumption Mental health ab: Aim: As individuals adjust to new 'norms' and ways of living during the COVID-19 lockdown, there is a continuing need for up-to-date information and guidance. Evidence suggests that frequent media exposure is related to a higher prevalence of mental health problems, especially anxiety and depression. The aim of this study was to determine whether COVID-19 related media consumption is associated with changes in mental health outcomes. Methods: This paper presents baseline data from the COVID-19 Psychological Wellbeing Study. The cross-sectional study data was collected using an online survey following the Generalised Anxiety Disorder scale (GAD-7) and the Patient Health Questionnaire (PHQ-9), with some other basic information collected. Logistic regression analysis was used to examine the influence of socio-demographic and media specific factors on anxiety and depression. Results: The study suggested that media usage is statistically significantly associated with anxiety and depression on the GAD-7 and PHQ-9 scales with excessive media exposure related to higher anxiety and depression scores. Conclusion: This study indicated that higher media consumption was associated with higher levels of anxiety and depression. Worldwide it should be acknowledged that excessive media consumption, particularly social media relating to COVID-19, can have an effect on mental health. However, as this was a cross-sectional study we cannot infer any directionality as we cannot infer cause and effect; therefore, future research involving longitudinal data collection and analyses of variables over time is warranted. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|