Genetic Epidemiology, Psychiatric Genetics, Asthma Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
27567301
TITLE
Co-occurrence and symptomatology of fatigue and depression.
ABSTRACT
OBJECTIVE NlmCategory: OBJECTIVE
Fatigue and depression are highly comorbid phenotypes with partially overlapping symptoms. The main aims of the present study are to: (i) identify the risk of current fatigue and depression; (ii) determine if the depression symptoms experienced by individuals who are fatigued (N=766) and non-fatigued (N=1849) are different; and (iii) identify if the fatigue symptoms experienced by depressed (N=275) and non-depressed (N=2340) individuals are different, in a community-based sample of Australian twins aged over 50years.
METHODS NlmCategory: METHODS
Fatigue and depression symptom profiles and classifications were generated using the Schedule of Fatigue and Anergia (SOFA); the General Health Questionnaire; and the Delusions-Symptoms-States Inventory, States of Anxiety and Depression questionnaires. The association between co-occurring fatigue and depression was assessed using prevalence ratios. Differences in the preponderance of fatigue and depression symptoms were assessed using logistic regression modeling.
RESULTS NlmCategory: RESULTS
Individuals with either fatigue or depression have an approximately two-fold increased risk for comorbid presentation of both traits, compared to the general population. Logistic regression analysis indicated that fatigued individuals were significantly more likely to report all of the Diagnostic and Statistical Manual of Mental Disorders (DSM) depression symptoms assessed in the study. Similarly, depressed individuals were significantly more likely to report all SOFA fatigue symptoms.
CONCLUSIONS NlmCategory: CONCLUSIONS
Fatigue and depression are highly correlated traits within the community. Depression symptomatology and prevalence are significantly increased in fatigued individuals. Fatigue and especially the symptoms of insomnia and poor concentration are strong predictors of depression. Notably, the association between fatigue and depression is independent of their overlapping symptomatology. Therefore, presentation with fatigue, and in particular the symptoms of insomnia and poor concentration, should be considered as warning signs of depression in older adults.
Copyright 2016 Elsevier Inc. All rights reserved.
DATE PUBLISHED
2016 Aug 9
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2016/01/08
revised 2016/07/29
accepted 2016/08/05
entrez 2016/08/28 06:00
pubmed 2016/08/28 06:00
medline 2016/08/28 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Corfield EC Corfield Elizabeth C EC Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. Electronic address: elizabeth.corfield@hdr.qut.edu.au.
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute, Brisbane, Australia. Electronic address: Nick.Martin@qimrberghofer.edu.au.
Nyholt DR Nyholt Dale R DR Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. Electronic address: d.nyholt@qut.edu.au.
INVESTIGATORS
JOURNAL
VOLUME: 71
ISSUE:
TITLE: Comprehensive psychiatry
ISOABBREVIATION: Compr Psychiatry
YEAR: 2016
MONTH: Aug
DAY: 9
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1532-8384
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Compr Psychiatry
COUNTRY: UNITED STATES
ISSNLINKING: 0010-440X
NLMUNIQUEID: 0372612
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
JOURNAL ARTICLE
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