Depressive symptoms in middle-aged men: Results from a household survey in Hong Kong

2006 ◽  
Vol 92 (2-3) ◽  
pp. 215-220 ◽  
Author(s):  
Samuel Yeung Shan Wong ◽  
Dicken Chan ◽  
Ping Chung Leung
2010 ◽  
Vol 196 (6) ◽  
pp. 486-492 ◽  
Author(s):  
King-Wa. Fu ◽  
Wincy S. C. Chan ◽  
Paul W. C. Wong ◽  
Paul S. F. Yip

BackgroundDespite increasing concern over the potential adverse effects of excessive internet use, especially in young people, there is some debate over its definition, magnitude and discriminant validity.AimsTo examine the prevalence of adolescents' internet addiction in Hong Kong, China; to test its differentiation from other correlates; and to examine its relationships with correlates in a representative community sample of adolescents.MethodA two-wave panel household survey with 208 adolescents (aged 15–19 years) was conducted. Participants were asked to self-report their patterns of internet usage, symptoms of internet addiction, suicidal ideation, psychiatric symptoms and psychosocial conditions during the study period.ResultsThe prevalence rate for having five or more symptoms of internet addiction was estimated to be 6.7% (95% CI 3.3–10.2). The discriminatory characteristic of internet addiction was marginally demonstrated. Positive dose–response relationships were found between the number of symptoms of internet addiction and 1-year changes in scores for suicidal ideation and depressive symptoms.ConclusionsEvidence supports the specificity of internet addiction and its symptoms seem to co-occur with individuals' suicidal ideation and depressive symptoms.


Author(s):  
Juyeong Kim ◽  
Eun-Cheol Park

Background: Given the documented importance of employment for middle-aged and older adults’ mental health, studies of the association between their number of work hours and depressive symptoms are needed. Objectives: To examine the association between the number of work hours and depressive symptoms in Korean aged 45 and over. Methods: We used data from the first wave to fourth wave of the Korea Longitudinal Study of Aging. Using the first wave at baseline, data included 9845 individuals. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale. We performed a longitudinal analysis to estimate the prevalence of depressive symptoms by work hours. Results: Both unemployed males and females aged 45–65 years were associated with higher depressive symptoms (β = 0.59, p < 0.001; β = 0.32, p < 0.001). Females working ≥ 69 h were associated with higher depressive symptoms compared to those working 41–68 h (β = 0.25, p = 0.013). Among those both middle-aged and older adults, both males and females unemployed were associated with higher depressive symptoms. Those middle-aged female working ≥69 h were associated with higher depressive symptoms. Conclusions: An increase in depressive symptoms was associated with unemployed males and females working ≥69 h compared to those working 41–68 h. Although this association was found among middle-aged individuals, a decrease in depressive symptoms in both sexes was associated with working 1–40 h. Depressive symptoms should decrease by implementing employment policies and social services to encourage employers to support middle-aged and older adults in the workforce considering their sex and age differences.


2021 ◽  
Author(s):  
Min Yi Sum ◽  
Sherry Kit Wa Chan ◽  
Gloria Hoi Yan Wong

BACKGROUND Adolescence and young adulthood is a period of heightened risk of mental disorders onset. The Covid-19 pandemic may have impacted the daily lives and learning of students, exposing them to risks of emotional distress. Understanding factors associated with individual differences in distress can inform remedial strategies for schools. OBJECTIVE To investigate the impact of Covid-19 on undergraduate students’ lifestyle and learning, and explore relationship between depressive symptoms, resilience, and optimism/pessimism bias in undergraduate students in Hong Kong. METHODS Cross-sectional online survey of undergraduate students in a university (n=1020) before and during the third wave of Covid-19 outbreak in Hong Kong between May and August 2020. Changes in habits and family conflicts, depressive symptoms (measured using Patient Health Questionnaire-9), resilience (measured using Connor-Davidson Resilience Scale), optimism/pessimism towards Covid-19 risks, and knowledge about Covid-19 were recorded. Multivariable linear regression and mediation analyses were used to explore relationships with depressive symptoms. RESULTS 61.7% of respondents have mild to severe depressive symptoms. The regression model found that 18.5% of the variance in depressive symptoms was explained by resilience, pessimism bias, changes in sleep, decrease in study at home, and increase in family conflict. Mediation analysis showed that resilience is indirectly related to depressive symptoms through its relationship with pessimism (ab = -0.042, CI = -0.057 to -0.013). Higher resilience was associated with lower depressive symptoms even after accounting for resilience’s indirect effect through pessimism (c’ = 0.311, P < .001). CONCLUSIONS The findings highlight the mental health vulnerability of undergraduate students. Measures to reduce family conflict, maintain healthy daily habits, adjust optimism/pessimism bias, and enhance resilience may be useful for improving the mental wellbeing of undergraduate students during the pandemic.


2021 ◽  
Author(s):  
Andre L. Brown ◽  
Derrick D. Matthews ◽  
Steven Meanley ◽  
Mark Brennan-Ing ◽  
Sabina Haberlen ◽  
...  

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