The Burden of Major Depression Avoidable by Longer-term Treatment Strategies

Vos, Theo; Haby, Michelle M.; Barendregt, Jan J.; Kruijshaar, Michelle E.; Corry, Justine; Andrews, Gavin

doi:10.1001/archpsyc.61.11.1097

Cited by 188 publications

(153 citation statements)

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“…In addition, the BDI assesses depressive symptoms over the previous week, whereas the time frame on the LOT is not specified but rather refers to a generalized "way of looking at life." Related to this, depression can be conceptualized as a state measure thought to be more amenable to change (Vos et al, 2004) as compared with dispositional optimism, which is thought to be more of a trait measure. Second, one would expect depression and optimism to be highly correlated because the literature on depression suggests that negative, nonoptimistic thinking is part of the problem that depressed people have (Beck, 1967).…”

Section: Correlates and Mediatorsmentioning

confidence: 99%

Dispositional optimism and the mechanisms by which it predicts slower disease progression in HIV: proactive behavior, avoidant coping, and depression

Ironson

Balbin

Stuetzle

et al. 2005

Int. J. Behav. Med.

121

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The issue of whether optimism may prospectively protect against disease progression is one that has generated much interest, with mixed results in the literature. The purpose of this study was to determine whether dispositional optimism predicts slower disease progression in HIV. Two indicators of disease progression, CD4 counts and viral load, were assessed over 2 years in a diverse group (men, women, White, African American, Hispanic) of 177 people with HIV in the midrange of disease at entry to the study. Optimism predicted slower disease progression (less decrease in CD4 and less increase in viral load) controlling for baseline CD4 and viral load, antiretroviral treatment, gender, race, education, and drug use. Those low on optimism (25th percentile) lost CD4 cells at a rate 1.55 times faster than those high on optimism (75th percentile). Optimists had higher proactive behavior, less avoidant coping, and less depression: These variables mediated the linear optimism-disease progression relationship. Thus, optimists may reap health benefits partly through behavioral (proactive behavior), cognitive (avoidant coping), and affective (depression) pathways. Implications, limitations, and interpretations are discussed. Taylor et al., 2000). One of the most intriguing of these is optimism. There is the popular belief that maintaining hope or optimism may influence survival. Many doctors encourage their patients to develop a positive attitude believing it may be helpful to patients (Schofield et al., 2004). However, there have only been a few studies scientifically examining this.One study gaining widespread attention (Schofield et al., 2004) recently found that dispositional optimism did not predict progression-free survival in patients with lung cancer and concluded that "encouraging patients to 'be positive' may only add to the burden of having cancer while providing little benefit" (p. 1276). Schulz, Bookwala, Knapp, Scheier, and Williamson (1996) found that, although dispositional optimism did not predict survival in patients with recurrent or metastasized cancer receiving palliative radiation treatment, pessimistic life orientation was a risk factor for mortality but only in younger (age < 59) patients. In contrast, dispositional optimism predicted survival over 1 year in head and neck cancer patients (Allison, Guichard, Fung, & Gilain, 2003). Several studies not restricted to cancer patients found that dispositional optimism is related to better health outcomes including better recovery and less rehospitalization from coronary bypass surgery Scheier et al., 1999) and lower all cause and cardiovascular mortality (Giltay, Geleijnse, Zitman, Hoeskstra, & Evert, 2004). In addition, one study found that a "cognitive adaptation index," which included dispositional optimism, situational-specific optimism, self-esteem, and mastery, predicted fewer new coronary events after Percutaneous Transluminal Coronary Angioplasty (PTCA) (Helgeson & Fritz, 1999).Although most of the studies noted previously focused on dis...

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Section: Correlates and Mediatorsmentioning

confidence: 99%

Dispositional optimism and the mechanisms by which it predicts slower disease progression in HIV: proactive behavior, avoidant coping, and depression

Ironson

Balbin

Stuetzle

et al. 2005

Int. J. Behav. Med.

121

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“…5,6 Thus, most of the prevalence, burden and cost of depression is a consequence of relapse/recurrence and the majority of the burden attributable to depression could be offset through interventions aimed at preventing depressive relapse/recurrence. 7 …”

Section: Introductionmentioning

confidence: 99%

The effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse/recurrence: results of a randomised controlled trial (the PREVENT study)

Kuyken

Hayes

Barrett

et al. 2015

Health Technol Assess

105

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This journal is a member of and subscribes to the principles of the Committee on Publication Ethics (COPE) (www.publicationethics.org/).Editorial contact: nihredit@southampton.ac.ukThe full HTA archive is freely available to view online at www.journalslibrary.nihr.ac.uk/hta. Print-on-demand copies can be purchased from the report pages of the NIHR Journals Library website: www.journalslibrary.nihr.ac.uk Criteria for inclusion in the Health Technology Assessment journalReports are published in Health Technology Assessment (HTA) if (1) they have resulted from work for the HTA programme, and (2) they are of a sufficiently high scientific quality as assessed by the reviewers and editors.Reviews in Health Technology Assessment are termed 'systematic' when the account of the search appraisal and synthesis methods (to minimise biases and random errors) would, in theory, permit the replication of the review by others. HTA programmeThe HTA programme, part of the National Institute for Health Research (NIHR), was set up in 1993. It produces high-quality research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS. 'Health technologies' are broadly defined as all interventions used to promote health, prevent and treat disease, and improve rehabilitation and long-term care.The journal is indexed in NHS Evidence via its abstracts included in MEDLINE and its Technology Assessment Reports inform National Institute for Health and Care Excellence (NICE) guidance. HTA research is also an important source of evidence for National Screening Committee (NSC) policy decisions.For more information about the HTA programme please visit the website: http://www.nets.nihr.ac.uk/programmes/hta This reportThe research reported in this issue of the journal was funded by the HTA programme as project number 08/56/01. The contractual start date was in January 2010. The draft report began editorial review in October 2014 and was accepted for publication in February 2015. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors' report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report.This report presents independent research funded by the National Institute for Health Research (NIHR). The views and opinions expressed by authors in this publication are those of the authors and do not necessarily reflect those of the NHS, the NIHR, NETSCC, the HTA programme or the Department of Health. If there are verbatim quotations included in this publication the views and opinions expressed by the interviewees are those of the interviewees and do not necessarily reflect those of the authors, those of the NHS, the NIHR, NETSCC, the HTA programme or the Department of Health. Published by ...

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“…Fox-Rushby and Hanson (2001) assume that, if it goes untreated, the person dies 10 years later. This is not necessarily representative of the evolution of major depression (see, for example, Vos et al, 2004). Nevertheless, for simplicity, this estimate is kept constant.…”

Section: Iv2 Results Of the Monte Carlo Simulationsmentioning

confidence: 99%

Simple Analytics of Disability Adjusted Life Years (DALYS)

Grand

2014

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may

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The Burden of Major Depression Avoidable by Longer-term Treatment Strategies

Abstract: Longer-term maintenance drug or psychological treatment strategies are required to make significant inroads into the large disease burden associated with major depression in the Australian population.

Cited by 188 publications

References 45 publications

Dispositional optimism and the mechanisms by which it predicts slower disease progression in HIV: proactive behavior, avoidant coping, and depression

Dispositional optimism and the mechanisms by which it predicts slower disease progression in HIV: proactive behavior, avoidant coping, and depression

The effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse/recurrence: results of a randomised controlled trial (the PREVENT study)

Simple Analytics of Disability Adjusted Life Years (DALYS)

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