Longitudinal Patterns and Predictors of Depression Trajectories Related to the 2014 Occupy Central/Umbrella Movement in Hong Kong

Bibliographic Data

ID11023985
AuthorsMichael Y Ni (0000-0002-1217-5858, Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.), Tom K Li (Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.), Herbert Pang (0000-0002-7896-6716, Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.), Brandford H Y Chan (Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.), Ichiro Kawachi (0000-0003-3579-4456, Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.), K Viswanath (0000-0002-4795-5803, Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.), C Mary Schooling (0000-0001-9933-5887, Department of Health), Genevieve Leung (0000-0002-2503-6283, Department of Health), Gabriel Matthew Leung (Michael Yuxuan Ni, Tom Kung Li, Herbert Hei Pang, Brandford Ho Chan, Catherine Mary Schooling, and Gabriel Matthew Leung are with the School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China. Ichiro Kawachi and Kasisomayajula Viswanath are with the Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA.)
Year2017
Volume107
Issue4
Pages593-600
Publication date2017-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2016.303651
PMID28207329
OpenAlexW2588924096
LanguageEN
Citations received16
References cited49

Objectives. To examine the longitudinal patterns and predictors of depression trajectories before, during, and after Hong Kong’s 2014 Occupy Central/Umbrella Movement. Methods. In a prospective study, between March 2009 and November 2015, we interviewed 1170 adults randomly sampled from the population-representative FAMILY Cohort. We used the Patient Health Questionnaire-9 to assess depressive symptoms and probable major depression. We investigated pre-event and time-varying predictors of depressive symptoms. Results. We identified 4 trajectories: resistant (22.6% of sample), resilient (37.0%), mild depressive symptoms (32.5%), and persistent moderate depression (8.0%). Baseline predictors that appeared to protect against persistent moderate depression included higher household income (odds ratio [OR] = 0.18; 95% confidence interval [CI] = 0.06, 0.56), greater psychological resilience (OR = 0.63; 95% CI = 0.48, 0.82), more family harmony (OR = 0.68; 95% CI = 0.56, 0.83), higher family support (OR = 0.80; 95% CI = 0.69, 0.92), better self-rated health (OR = 0.28; 95% CI = 0.16, 0.49), and fewer depressive symptoms (OR = 0.59; 95% CI = 0.43, 0.81). Conclusions. Depression trajectories after a major protest are comparable to those after major population events. Health care professionals should be aware of the mental health consequences during and after social movements, particularly among individuals lacking social support

Cohort study · Confidence interval · Depression (economics) · Environmental health · Logistic regression · Longitudinal study · Mental health · Odds · Odds ratio · Population · Psychiatry · Social support · COVID-19 and Mental Health · Demography · Internal Medicine · Medicine · Mental Health Treatment and Access · Mental Health via Writing · Psychology · Gerontology