The Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Pokfulam, Hong Kong.
Department of Social Work & Social Administration, The University of Hong Kong, Pokfulam, Hong Kong.
BMC Public Health. 2023 Sep 11;23(1):1770. doi: 10.1186/s12889-023-16672-x.
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.
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.
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, R = .157). However, for females, while the overall model for MIL was significant (F (9, 709) = 12.105, p < .001, R = .133), the only significant associated variable was mental health status.
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.
新冠疫情对个人的社交生活、心理健康状况和生活意义(MIL)产生了重大影响。在全球范围内,对于许多人来说,不同类型的数字媒体的使用已经成为了新冠疫情前社交生活的替代品。本研究调查了在香港新冠疫情期间,数字媒体使用、心理健康状况和 MIL 之间的关系存在的性别差异。
本横断面研究于 2021 年通过全市随机抽样招募了 1488 名年轻人。受访者通过电话调查完成了关于数字媒体使用、患者健康问卷(PHQ-2)、广泛性焦虑症(GAD-2)、新冠疫情影响、生活意义和人口统计学的调查。采用独立样本 t 检验测试了 MIL 中的性别差异。性别特异性多元线性回归模型测试了 MIL 与年龄、教育程度、诊断史、数字媒体使用和心理健康状况等解释变量之间的关联。
MIL 存在显著的性别差异(男性(M=12.90,SD=4.12);女性(M=13.45,SD=3.96);t(1485)=-2.656,p=0.008)。对于男性,所有与 MIL 相关的变量均具有统计学意义(F(9,759)=15.731,p<0.000,R=0.157)。然而,对于女性,虽然 MIL 的整体模型具有统计学意义(F(9,709)=12.105,p<0.001,R=0.133),但唯一具有统计学意义的相关变量是心理健康状况。
在新冠疫情下,女性的 MIL 显著优于男性。数字媒体使用对男性的 MIL 有贡献,但对女性没有贡献,并且 MIL 存在性别特异性相关因素。