Longitudinal Patterns and Predictors of Depression Trajectories Related to the 2014 Occupy Central/Umbrella Movement in Hong Kong.
Am J Public Health
; 107(4): 593-600, 2017 04.
Article
em En
| MEDLINE
| ID: mdl-28207329
ABSTRACT
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Problemas Sociais
/
Dissidências e Disputas
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Depressão
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Participação Social
Tipo de estudo:
Etiology_studies
/
Observational_studies
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Prognostic_studies
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Qualitative_research
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Risk_factors_studies
Limite:
Adolescent
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Adult
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Aged
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article