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Article: Gender differences in the relationships between meaning in life, mental health status and digital media use during Covid-19
Title | Gender differences in the relationships between meaning in life, mental health status and digital media use during Covid-19 |
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Authors | |
Keywords | COVID-19 Digital media use Gender differences Meaning in life Mental health |
Issue Date | 11-Sep-2023 |
Publisher | BioMed Central |
Citation | BMC Public Health, 2023, v. 23, n. 1 How to Cite? |
Abstract | Background: The COVID-19 pandemic has had a significant impact on individuals’ social lives, mental health status, and meaning in life (MIL). Globally, the use of different types of digital media has become a proxy for pre-COVID social lives for many people. This study investigated gender differences in the relationship between use of digital media, mental health status and MIL, during COVID-19 in Hong Kong. Methods: This cross-sectional study surveyed 1,488 young people recruited via city-wide random sampling in 2021. Respondents completed a phone survey on digital media use, Patient Health Questionnaire (PHQ-2), Generalized Anxiety Disorder (GAD-2), COVID-19 impact, meaning in life, and demographics. Gender differences in MIL were tested with an independent sample t-test. Gender-specific multiple linear regression models tested associations between MIL and explanatory variables of age, educational level, history of diagnosis, digital media use, and mental health status. Results: There was a significant gender difference in MIL (males (M = 12.90, SD = 4.12); females (M = 13.45, SD = 3.96); t (1485) = -2.656, p =.008). For males, all variables significantly associated to MIL (F (9, 759) = 15.731, p <.000, R2 =.157). However, for females, while the overall model for MIL was significant (F (9, 709) = 12.105, p <.001, R2 =.133), the only significant associated variable was mental health status. Conclusion: Females had significantly better MIL under COVID-19 than males. Digital media use contributed to MIL in males but not females, and there were gender-specific associated factors of MIL. |
Persistent Identifier | http://hdl.handle.net/10722/348361 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 1.253 |
DC Field | Value | Language |
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dc.contributor.author | So, Wendy Wing Yan | - |
dc.contributor.author | Woo, Bowie Po Yi | - |
dc.contributor.author | Wong, Clifford | - |
dc.contributor.author | Yip, Paul Siu Fai | - |
dc.date.accessioned | 2024-10-09T00:31:01Z | - |
dc.date.available | 2024-10-09T00:31:01Z | - |
dc.date.issued | 2023-09-11 | - |
dc.identifier.citation | BMC Public Health, 2023, v. 23, n. 1 | - |
dc.identifier.issn | 1471-2458 | - |
dc.identifier.uri | http://hdl.handle.net/10722/348361 | - |
dc.description.abstract | <p>Background: The COVID-19 pandemic has had a significant impact on individuals’ social lives, mental health status, and meaning in life (MIL). Globally, the use of different types of digital media has become a proxy for pre-COVID social lives for many people. This study investigated gender differences in the relationship between use of digital media, mental health status and MIL, during COVID-19 in Hong Kong. Methods: This cross-sectional study surveyed 1,488 young people recruited via city-wide random sampling in 2021. Respondents completed a phone survey on digital media use, Patient Health Questionnaire (PHQ-2), Generalized Anxiety Disorder (GAD-2), COVID-19 impact, meaning in life, and demographics. Gender differences in MIL were tested with an independent sample t-test. Gender-specific multiple linear regression models tested associations between MIL and explanatory variables of age, educational level, history of diagnosis, digital media use, and mental health status. Results: There was a significant gender difference in MIL (males (M = 12.90, SD = 4.12); females (M = 13.45, SD = 3.96); t (1485) = -2.656, p =.008). For males, all variables significantly associated to MIL (F (9, 759) = 15.731, p <.000, R2 =.157). However, for females, while the overall model for MIL was significant (F (9, 709) = 12.105, p <.001, R2 =.133), the only significant associated variable was mental health status. Conclusion: Females had significantly better MIL under COVID-19 than males. Digital media use contributed to MIL in males but not females, and there were gender-specific associated factors of MIL.</p> | - |
dc.language | eng | - |
dc.publisher | BioMed Central | - |
dc.relation.ispartof | BMC Public Health | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | COVID-19 | - |
dc.subject | Digital media use | - |
dc.subject | Gender differences | - |
dc.subject | Meaning in life | - |
dc.subject | Mental health | - |
dc.title | Gender differences in the relationships between meaning in life, mental health status and digital media use during Covid-19 | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1186/s12889-023-16672-x | - |
dc.identifier.pmid | 37697289 | - |
dc.identifier.scopus | eid_2-s2.0-85170377769 | - |
dc.identifier.volume | 23 | - |
dc.identifier.issue | 1 | - |
dc.identifier.eissn | 1471-2458 | - |
dc.identifier.issnl | 1471-2458 | - |