Literature DB >> 29525352

Mortality risk associated with psychological distress and major depression: A population-based cohort study.

Maria Chiu1, Simone Vigod2, Farah Rahman3, Andrew S Wilton3, Michael Lebenbaum3, Paul Kurdyak4.   

Abstract

BACKGROUND: Few studies have examined the impact of psychological distress on mortality. We aimed to estimate mortality rates of psychological distress and major depressive disorder (MDD) compared to a referent group with no MDD or psychological distress.
METHODS: Our study population (N = 10 181) consisted of respondents from the Canadian Community Health Survey Cycle 1.2 linked to Ontario health administrative databases followed for up to 11 years. We used Cox proportional hazards models to assess overall, sex-specific, as well as short-term (within two years of follow-up) and long-term (follow-up ≥ two years) mortality among those with DSM-criteria MDD and psychological distress independent of MDD adjusted for socio-demographic, lifestyle and clinical factors.
RESULTS: Individuals with psychological distress (n = 666) had a similar mortality rate as those with MDD (n = 428) and significantly greater adjusted hazards of death than the referent group (hazard ratio = 1.57, 95% CI = 1.14-2.15). The risk of death was greatest in the short-term among those with MDD, however, we observed a persistent 1.6-fold increased risk in both the short- and long-term among those with psychological distress compared to the referent. Women with MDD had the greatest mortality rate and died a median of 15 years earlier than women in the referent group. LIMITATIONS: Psychological distress and MDD were ascertained at baseline with small number of deaths in the early follow-up period. Survey variables were prone to self-report bias with a possibility of residual confounding.
CONCLUSIONS: Focused longitudinal research and targeted management strategies for those with psychological distress and women with MDD are warranted.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Mortality; Psychological distress

Mesh:

Year:  2018        PMID: 29525352     DOI: 10.1016/j.jad.2018.02.075

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

1.  Health Service Use among Individuals with Depression and Psychological Distress: A Population-Based Cohort Study in Ontario, Canada: Utilisation des services de santé par les personnes souffrant de dépression et de détresse psychologique : une étude de cohorte dans la population de l'Ontario, Canada.

Authors:  Maria Chiu; Farah E Saxena; Paul Kurdyak; Andrew S Wilton; Simone N Vigod
Journal:  Can J Psychiatry       Date:  2020-05-27       Impact factor: 4.356

2.  Internet-Delivered Cognitive Behavioural Therapy for Post-traumatic Stress Disorder or Acute Stress Disorder: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-06-01

3.  Economic Burden of Depression and Associated Resource Use in Manitoba, Canada.

Authors:  Julie-Anne Tanner; Jennifer Hensel; Paige E Davies; Lisa C Brown; Bryan M Dechairo; Benoit H Mulsant
Journal:  Can J Psychiatry       Date:  2019-12-13       Impact factor: 4.356

4.  Increases in Serious Psychological Distress among Ontario Students between 2013 and 2017: Assessing the Impact of Time Spent on Social Media.

Authors:  Steven Cook; Hayley A Hamilton; Shirin Montazer; Luke Sloan; Christine M Wickens; Amy Cheung; Angela Boak; Nigel E Turner; Robert E Mann
Journal:  Can J Psychiatry       Date:  2021-01-28       Impact factor: 4.356

5.  Determinants of accelerated metabolomic and epigenetic aging in a UK cohort.

Authors:  Oliver Robinson; Marc Chadeau Hyam; Ibrahim Karaman; Rui Climaco Pinto; Mika Ala-Korpela; Evangelos Handakas; Giovanni Fiorito; He Gao; Andy Heard; Marjo-Riitta Jarvelin; Matthew Lewis; Raha Pazoki; Silvia Polidoro; Ioanna Tzoulaki; Matthias Wielscher; Paul Elliott; Paolo Vineis
Journal:  Aging Cell       Date:  2020-05-03       Impact factor: 9.304

6.  Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population.

Authors:  David Lin; Tahmida Nazreen; Tomasz Rutowski; Yang Lu; Amir Harati; Elizabeth Shriberg; Piotr Chlebek; Michael Aratow
Journal:  Front Psychol       Date:  2022-04-08

7.  Depressive Symptoms and Mortality Among Middle-Aged and Older Adults in South Korea.

Authors:  Hyeon-Seung Yun; Jae-Hyun Kim; Sung-Man Bae
Journal:  Psychiatry Investig       Date:  2022-04-22       Impact factor: 3.202

  7 in total

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