Literature DB >> 24311371

Ageing and trajectories of depressive symptoms in community-dwelling men and women.

Delphine Montagnier1, Jean-François Dartigues, Frédéric Rouillon, Karine Pérès, Bruno Falissard, Fannie Onen.   

Abstract

OBJECTIVE: The aim of this study was to investigate age-related patterns of depressive symptoms in older men and women and to identify their determinants.
METHODS: The Center for Epidemiological Studies Depression Scale was used to prospectively assess depressive symptoms in 1059 men and 1531 women, enrolled in a French representative population-based cohort (PAQUID study) and followed over a period of 20 years. Using a group-based trajectory method with an accelerated longitudinal design, we modelled the course of depressive symptoms between 65 and 104 years of age and examined associations between trajectory patterns and baseline socio-demographic and health variables.
RESULTS: In men, we identified three rising trajectories: 'never depressed' including 65% of the sample, 'emerging depression' (28%) and 'increasing depression' (7%). Compared with the membership of the never-depressed trajectory, that of the two higher trajectories was significantly associated with a history of depression and dyspnoea. In women, we identified two slightly rising trajectories (never depressed, 56%, and 'rising subclinical', 33%) and one stable high trajectory ('persistent depression', 11%). Membership of the two higher trajectories was significantly associated with the use of benzodiazepine, polymedication and dyspnoea. A history of nondepressive psychiatric disorder was a risk factor for membership of the persistent-depression group, whereas being widowed seemed to be a protective factor for membership of this group.
CONCLUSION: High-risk groups for later-life depression should be targeted differently in older men and women in order to implement appropriate interventions to prevent chronicity and disability.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  aged; depressive symptoms; epidemiology; trajectory

Mesh:

Year:  2013        PMID: 24311371     DOI: 10.1002/gps.4054

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  16 in total

1.  Psychosocial and health-related risk factors for depressive symptom trajectories among midlife women over 15 years: Study of Women's Health Across the Nation (SWAN).

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3.  Depression statuses and related predictors in later life: A 10-year follow-up study in Israel.

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Journal:  Eur J Ageing       Date:  2016-06-28

4.  Association Between Depressive Symptom Patterns and Clinical Profiles Among Persons Living with HIV.

Authors:  N E Kelso-Chichetto; C N Okafor; R L Cook; A G Abraham; R Bolan; M Plankey
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5.  Depressive Symptom Trajectories, Aging-Related Stress, and Sexual Minority Stress Among Midlife and Older Gay Men: Linking Past and Present.

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Journal:  Res Aging       Date:  2015-06-11

Review 6.  Heterogeneity in long-term trajectories of depressive symptoms: Patterns, predictors and outcomes.

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7.  Heterogeneity in 10-Year Course Trajectories of Moderate to Severe Major Depressive Disorder: A Danish National Register-Based Study.

Authors:  Katherine L Musliner; Trine Munk-Olsen; Thomas M Laursen; William W Eaton; Peter P Zandi; Preben B Mortensen
Journal:  JAMA Psychiatry       Date:  2016-04       Impact factor: 21.596

8.  Memory Deficits Precede Increases in Depressive Symptoms in Later Adulthood.

Authors:  Stephen Aichele; Paolo Ghisletta
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2019-08-21       Impact factor: 4.077

9.  Heterogeneity in the three-year course of major depression among older adults.

Authors:  Celia F Hybels; Carl F Pieper; Dan G Blazer; David C Steffens
Journal:  Int J Geriatr Psychiatry       Date:  2015-11-11       Impact factor: 3.485

10.  Internalized gay ageism, mattering, and depressive symptoms among midlife and older gay-identified men.

Authors:  Richard G Wight; Allen J LeBlanc; Ilan H Meyer; Frederick A Harig
Journal:  Soc Sci Med       Date:  2015-10-31       Impact factor: 4.634

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