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Opinion paper: poor response to treatment of depression in people in high occupational levels

Published online by Cambridge University Press:  12 October 2018

Laura Mandelli
Affiliation:
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
Alessandro Serretti*
Affiliation:
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
Stefano Porcelli
Affiliation:
Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
Daniel Souery
Affiliation:
Laboratoire de Psychologie Médicale, Université Libre de Bruxelles and PsyPluriel, Brussels, Belgium
Julien Mendlewicz
Affiliation:
Université Libre de Bruxelles, Brussels, Belgium
Siegfried Kasper
Affiliation:
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
Stuart Montgomery
Affiliation:
Imperial College, University of London, London, UK
Joseph Zohar
Affiliation:
Expert Platform on Mental Health, Focus on Depression Tel-Aviv University Israel, Tel-Aviv, Israel
*
Author for correspondence: Alessandro Serretti, E-mail: alessandro.serretti@unibo.it
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Abstract

The working environment may have a significant effect on response to treatment of depression and this issue has not yet been sufficiently addressed in the scientific literature. There is evidence showing that being engaged in high-level positions can be an obstacle to the success of treatment. This article discusses the few evidence in the literature and some of the possible mechanisms involved. Specific personality attributes and difficulties in adapting to depression may delay access to care and may also reduce treatment compliance. The presence of stress in jobs that require high cognitive function and lack of social support may be elements that hinder the recovery process. Residual symptoms that impact on cognitive functions may undermine adherence to treatment and adversely affect the response. The implications of these issues are potentially relevant for clinical practice in the treatment of depression and for future research.

Type
Commentary
Copyright
Copyright © Cambridge University Press 2018 

Introduction

Work is an important part of an individual's life; it can be a source of satisfaction and fulfilment, as well as tension and worry affecting private life. Several studies have emphasized the positive effect on mental health of being employed as compared with being unemployed (Modini et al., Reference Modini, Joyce, Mykletun, Christensen, Bryant, Mitchell and Harvey2016). Being in work, compared with being unemployed, has been shown to be associated with a better treatment outcome in the presence of a mental illness, especially mood disorders (e.g. Drago and Serretti, Reference Drago and Serretti2011; van der Lem et al., Reference van der Lem, Stamsnieder, van der Wee, van Veen and Zitman2013; Jakubovski and Bloch, Reference Jakubovski and Bloch2014). It has been suggested that these associations are probably mediated by a better socio-economic status (Muntaner et al., Reference Muntaner, Eaton, Miech and O'Campo2004), since, on average, individuals who work have a higher educational level, higher income and better social inclusion compared with individuals who do not work.

Depression is common and is often a severe illness. The lifetime prevalence of major depressive disorder (MDD) is about 17% (Kessler et al., Reference Kessler, Berglund, Demler, Jin, Koretz, Merikangas, Rush, Walters and Wang2003) and about 6.7% of the population will experience an episode of MDD in any 1 year period (Kessler et al., Reference Kessler, Chiu, Demler, Merikangas and Walters2005). Depression is predicted to be the leading cause of disability by 2020 (Mathers et al., Reference Mathers, Salomon, Ezzati, Begg, Hoorn, Lopez, Lopez, Mathers, Ezzati, Jamison and Murray2006) with substantial costs for health systems and, in working adults, indirect costs from lost working hours (absenteeism), loss of lifetime income, early retirement and, especially, loss of productivity (presenteeism) (Thomas and Morris, Reference Thomas and Morris2003; Ekman et al., Reference Ekman, Granstrom, Omerov, Jacob and Landen2013). Consequently, screening and treatment for depression in the workplace is cost-effective and represents a worthwhile investment from the financial perspective (Evans-Lacko and Knapp, Reference Evans-Lacko and Knapp2016).

Although a number of studies have evaluated the possible relationship between employment status (employed/unemployed) and socioeconomic status (income, educational achievement, occupational prestige), few studies have focused on occupational status as influencing the risk of developing depressive disorders, and even fewer on the outcome of treatment.

To our knowledge, only one study by Cheng et al. (Reference Cheng, Liao, Lee and Tseng2007) specifically evaluated the possible association of occupational level in relation to recovery rates in 67 MDD patients using a three-level occupational class, based on the Standard Occupational Classification (http://www.bls.gov/soc/). Although a high occupational level predicted lower rates of relapse at 1 year of follow-up [as previously reported by Tseng et al. (Reference Tseng, Cheng, Lee and Lee2006)], at the index episode, high occupational level was associated with a reduced chance of clinical remission.

Though these data (lower risk of relapse at follow-up – higher rates of non-remission at the index episode) may appear counterintuitive, it is possible that higher occupational level may decrease the risk of developing a depressive illness, as shown by several studies (e.g. Fryers et al., Reference Fryers, Melzer and Jenkins2003), but on the other hand, a high occupational level may lower response to first-choice treatments of the episode and interfere with the expected chance of response and remission.

The hypothesis of an association between a poorer response to treatment and high occupational level is supported by our recent analysis of a larger sample of patients with MDD (n = 654) evaluated for response [based on clinical evaluation and Hamilton Rating Scale for depression (HAMD) scores below 17 points], remission (HAMD below 8 points) and treatment resistance (non-response to two or more adequate treatments) (Mandelli et al., Reference Mandelli, Serretti, Souery, Mendlewicz, Kasper, Montgomery and Zohar2016). In patients with high occupational levels, classified according to the classification of Hollingshead (Reference Hollingshead1975), we found lower rates of response and remission, and higher rates of unsuccessful treatments during the last depressive episode (treatment resistance). We found those belonging to high occupational levels (higher executives, proprietors of large, medium-sized or small independent businesses, major professionals, business managers) had a less favourable outcome than individuals in lower occupational levels (clerical and sales workers, technicians, skilled manual employees, machine operators, semi-skilled or unskilled employees) (Fig. 1).

Fig. 1. Treatment response rates depending on the occupational level according to Mandelli et al. (Reference Mandelli, Serretti, Souery, Mendlewicz, Kasper, Montgomery and Zohar2016).

The convergence of our data and that of Cheng et al. (Reference Cheng, Liao, Lee and Tseng2007) is suggestive of a link between high occupational level and poor outcome of treatment for depression, at least in the short term. Clearly, further studies in independent and larger samples are needed to explain these findings.

This paper focuses specifically on the factors that may mediate a poor response to treatment for depression in people in high occupational levels. Because of the relatively small body of evidence currently available, our considerations may be partially speculative; nevertheless, we believe that attention should be paid to certain elements that may contribute to current clinical practice.

Specific work-related stress

People in high occupational levels are exposed to specific psychosocial risk factors, which differ from those affecting other employees at lower occupational levels (Tennant, Reference Tennant2001). Workers in high occupational levels are expected to take on responsibilities in the management and supervision of activities of subordinate employees, to achieve customer satisfaction, to make decisions under pressure of time, and are also exposed to high levels of psychological and emotional pressure. The workload can also be very heavy in terms of hours of work. Pressure for high performance and high levels of competition among colleagues can often add to the mix. Such demanding work conditions might well be expected to represent excessive and overwhelming demands for a person with depression since the disorder is characterized by poor concentration, loss of interest and energy among other features. These conditions can represent a source of environmental stress which may easily lead to increased feelings of failure and inadequacy if the person is unable to meet the demands of work. Staying at home may also be counterproductive because a backlog of work awaits the person returning to work and this may well engender a vicious circle of further feelings of failure, hopelessness and helplessness. The return to work may therefore be more difficult for workers in high occupational levels who need to recover on a broader range of functions before returning to work.

Social support

The heavy workload and the autonomy expected in high occupational levels may also lead to social isolation in the working environment and lack of support from peers. Peers may be more competitive than supportive. Subordinates may try to take advantage while superiors may be unhelpful. No working position is completely independent from other people and those at upper intermediate levels are frequently dealing with pressures from both above and below. High occupational positions require that the worker can be independent in taking on burdensome tasks and responsibilities dealing with others and they therefore frequently come under pressure from different sources with little or no support provided. It is well known that the absence of a supportive working environment is a significant source of stress at all levels of employment (Bonde, Reference Bonde2008; Theorell et al., Reference Theorell, Hammarstrom, Aronsson, Traskman Bendz, Grape, Hogstedt, Marteinsdottir, Skoog and Hall2015).

Overwork can also limit the time available to spend in activities after work (family, hobbies, friendships), resulting in isolation even outside of the workplace and/or discord in family and friendships. An extensive literature has documented an increased risk of psychological distress in workers who have difficulties balancing work and personal life (Hawksley, Reference Hawksley2007; Couser, Reference Couser2008). Individuals, especially those in high occupational levels, can suffer lack of social support, both in the workplace and outside, and may have higher levels of family discord. These factors may exert a critical interference in the recovery process in those in high occupational levels.

Personality traits

Individuals in high occupational levels are often characterized by traits of self-confidence, vigour, motivation, aptitude for leadership and success, commitment, persistence and high sense of responsibility (e.g. Judge et al., Reference Judge, Bono, Ilies and Gerhardt2002). They usually make efforts to prevent or deny failures and feelings of weakness; they identify with the success and the results they achieve. They need to earn appreciation from others and maintain a self-image of strength, self-sufficiency and autonomy. They may not tolerate feelings of uselessness, weakness, needing help from others and negative self-evaluation.

Depression is characterized by low mood, loss of concentration, decreased energy, and by guilt and feelings of worthlessness, lowered self-esteem and the loss of ability to function as usual (DSM5). These symptoms are possibly more destructive of ability to function in those with high occupational levels. Those with a high sense of responsibility, commitment and dedication can also develop an increased sense of guilt and shame towards colleagues and subordinates whenever they fail to meet expectations.

Self-blame

The stigma attached to mental illness is well known. Those with depression feel guilty and inclined to blame themselves. Since those in high occupational levels need to project themselves as capable and strong, it is possible that the stigma of depression in society and self-stigma are more damaging for them.

The fear of being negatively labelled, being deemed unable to perform at previous capacity due to being ‘mentally ill’, often magnified by the person's own stigmatizing conception of the depressive illness, may push the individual to make great but often unsuccessful efforts to hide his/her condition, both at work and outside the workplace. This may increase the individual's exposure to professional and interpersonal stressors. As well as hiding the illness from others, it may also be inwardly denied by the individual who may not recognize they have a mental problem ascribing his/her present condition to temporary external factors instead. They tend to believe the current distress should be solved with personal effort and dedication. Negative cognition and negative emotional reactions, as well as low self-esteem and withdrawal from social life are part of depression and tend to feed on each other. These might well contribute to the high rate of suicide, which has been reported in high occupational levels (Sudak et al., Reference Sudak, Maxim and Carpenter2008; Chan et al., Reference Chan, Chiu, Lam, Wong and Conwell2014; Wada et al., Reference Wada, Eguchi, Prieto-Merino and Smith2016). According to a systematic review of the literature, although suicidal risk is higher in low occupational levels, middle–high skilled occupations have a substantially higher risk of suicide compared with the entire working-age population (rate ratio = 0.9–1.2) (Milner et al., Reference Milner, Spittal, Pirkis and LaMontagne2013). The individual may reduce participation in social life, consider themselves incapable of doing their job, to be undeserving of love from family members and friends. There is a risk of delay or even failure to request help, leading to prolonged illness duration, chronic course and poor compliance with treatment (Rusch et al., Reference Rusch, Angermeyer and Corrigan2005).

Compliance with treatment

Occupational factors have been reported as barriers to treatment adherence in some medical conditions (Adisa et al., Reference Adisa, Alutundu and Fakeye2009; Coenen et al., Reference Coenen, Willenberg, Parry, Shi, Romero, Blackwood, Maher, Healy, Dunstan and Straker2016), but this has not hitherto been studied, to our knowledge, in psychiatric disorders. Many personal barriers exist for depressed individuals in being compliant with treatments (Frank, Reference Frank1997). A number of factors contribute to poor compliance. Especially in the early stages of the illness, the individual may feel the need to cope alone, or may have poor trust in medical treatment and consequently may come late to clinical attention, sometimes after trying alternative treatment routes. They may be reluctant to take medication, to attend regularly for treatment or accept a proposal of hospitalization. They may complain of lack of time due to work obligations or the impossibility of taking time off work. Compliance may be only partial with drugs taken erratically or at lower dosages, medical appointments may be missed. Despite the need for long-term treatment, it is not uncommon for these individuals to discontinue treatment prematurely rather than wait for the full treatment benefits. Because of personality factors, work demands and life habits, individuals, especially those in high occupational levels, are often reluctant to accept treatment advice and the need for change. Work and performance are often priorities for many individuals in high occupational positions, with social relationships, family and personal care (including medical appointments) experienced as ‘less important’ or secondary to work commitments.

Transient side effects of drugs

Side effects can impact on treatment compliance even when they are minor (Montejo, Reference Montejo2009). Minor side effects may affect medication adherence but also the objective evaluation of the benefit of medication.

Jobs that are demanding from a cognitive point of view require optimal levels of psychophysical functioning (physical and mental energy, vigilance, prolonged attention, concentration) and these functions are reduced by depression. Effective treatments for depression can restore these functions (Keefe et al., Reference Keefe, McClintock, Roth, Doraiswamy, Tiger and Madhoo2014) although some can impact negatively, especially at the start of treatment, on cognitive functions, causing, for example, drowsiness (e.g. mirtazapine, amitriptyline), agitation or irritability [e.g. bupropion, Selective serotonine reuptake inhibitors (SSRIs) and some Serotonin-norepinephrine reuptake inhibitors (SNRIs)]. Cognition, which is already impaired as part of depression, may be further impaired by some antidepressants. Because of the anticholinergic and histaminergic effects common to many tricyclic antidepressants, reduced cognitive function may be felt early in treatment, before the therapeutic effects which comes later. Serotoninergic agents, because of their anti-anxiety properties, can impair the evaluation of critical aspects of situations and reduce motivation levels (McCabe et al., Reference McCabe, Mishor, Cowen and Harmer2010; Marutani et al., Reference Marutani, Yahata, Ikeda, Ito, Yamamoto, Matsuura, Matsushima, Okubo, Suzuki and Matsuda2011; Shannonhouse et al., Reference Shannonhouse, DuBois, Fincher, Vela, Henry, Wellman, Frye and Morgan2016). It has been reported that the detachment effect induced by many medications for depression such as serotoninergic inhibitors may be troublesome for some individuals (Harmer, Reference Harmer2008; Serretti et al., Reference Serretti, Calati, Goracci, Di Simplicio, Castrogiovanni and De Ronchi2010). The adverse cognitive effects can be particularly disturbing for individuals who need high cognitive performance at work. Despite a timely recovery from affective and somatic symptoms, the persistence of negative effects on the cognitive domain or the lack of improvement in cognitive impairments related to major depression (Papakostas and Culpepper, Reference Papakostas and Culpepper2015) may interfere with compliance with treatment leading the individual to discontinue the medication. Newer medications for depression are promising (Al-Sukhni et al., Reference Al-Sukhni, Maruschak and McIntyre2015; McIntyre et al., Reference McIntyre, Xiao, Syeda, Vinberg, Carvalho, Mansur, Maruschak and Cha2015; Stahl, Reference Stahl2015). Anhedonia, decreased motivation and other core features of depression may persist despite an overall apparent response to treatment for depression (Yee et al., Reference Yee, Chin, Hashim, Harbajan Singh, Loh, Sulaiman and Ng2015) and it has been suggested that some drugs for depression offer a better choice (Shelton et al., Reference Shelton, Tollefson, Tohen, Stahl, Gannon, Jacobs, Buras, Bymaster, Zhang, Spencer, Feldman and Meltzer2001; Argyropoulos and Nutt, Reference Argyropoulos and Nutt2013). Potential side effects on body weight and sexual functioning also need to be taken into account (Serretti and Chiesa, Reference Serretti and Chiesa2009; Serretti and Mandelli, Reference Serretti and Mandelli2010).

However, many patients are often just reluctant to take medications for depression for various reasons (fear of cognitive effects, unpleasant side effects, fear of addiction, etc.). Psychotropic drugs are ascribed a moral significance and often just contemplating their use can affect how people see themselves, most commonly by suggesting personal weakness. Some patients may perceive the antidepressant medication as a barely legitimate – pharmaceutical, rather than as an established and effective treatment for a medical condition (Malpass et al., Reference Malpass, Shaw, Sharp, Walter, Feder, Ridd and Kessler2009; Ridge et al., Reference Ridge, Kokanovic, Broom, Kirkpatrick, Anderson and Tanner2015).

Residual symptoms and subjective evaluation of clinical improvement

A patient's potentially altered perception of symptomatic improvement during treatment and of residual symptoms need to be taken into account. Despite response of the major depressive symptomatology, some symptoms may persist, sometimes for a prolonged period (Fava et al., Reference Fava, Fabbri and Sonino2002). For some individuals, the improvement in some symptoms such as mood, ability to engage in pleasurable activities and feelings of hope represents a significant improvement, despite the persistence of symptoms, for example, difficulties with sleep, attention and decision making (Kennedy and Foy, Reference Kennedy and Foy2005; Fava, Reference Fava2006). For other individuals, and especially those with high psychological demands at work, the same persisting symptoms (poor sleep, difficulty in sustaining attention and concentration and decision making) represent significant limitations. These individuals may continue to feel discouraged and dejected and complain of lack of benefit from treatments. Careful evaluation is needed to manage residual symptoms.

Clinical implications

Evaluation of objective and subjective stressors at work

A good clinician needs to evaluate the working life of the patient since performance at work is part of the evaluation of overall functioning. It is common for people to express spontaneously their difficulties in the workplace, the presence of pressure or tension, the fears and feelings related to their work, although in some cases, a more thorough evaluation may be needed.

Evaluation of potential or perceived stressors at work is particularly relevant in people in high occupational positions, in order to investigate the impact of the individual's working environment on the patient with depression. The clinician should identify, together with the patient, the critical problems occurring in the workplace, but also ascertain those problems produced or exacerbated by the behaviour and attitudes of the patient that result from the depression. For example, due to cognitive impairment, a patient may need to work excessive hours to complete what would be accomplished in a normal working day. Or again, due to the cognitive dysfunction, the patient may take on excessive commitments which they cannot cope with. Treatment of the depression should take into account all symptoms of depression and the need for improved support in the workplace.

Evaluation of objective and perceived availability of support

Evaluation of the availability of support at work is important. An individual may indeed be isolated from other colleagues but it can happen that concrete and emotional support potentially available from colleagues is not taken up. The perceptions, fears and emotions need to be explored to help the patient to make more use of supportive resources in the workplace. Likewise, if social networks outside of the workplace are lacking, the individual needs encouragement to explore new potential social resources. Potential sources of interference with sociability arising from excessive professional involvement (e.g. marital conflicts because of the little time to spend with the family, loss or weakening of relationships, little time to do sports, etc.) need to be evaluated.

Attitude to treatment

If the patient is involved in the decisions about the treatment, including discussion about the pros and cons of different medications for depression, compliance with the treatment and outcome have been shown to be improved. The clinician considers the individual concerns and proposes the treatment that the patient is more likely to accept and tolerate, to maximize functional restoration including professional activity. As an example, appointments can be scheduled after work or during breaks. Encouraging and enabling the patient to resume professional activity is important, and to achieve this, the clinician will consider the patient's particular needs in the choice of medication.

In the early and middle stages of the recovery, the potential persistence of residual symptoms that may hamper recovery needs to be thoroughly evaluated with the patient. The significance of these residual symptoms for the individual should not be underestimated.

Future directions

Further studies are needed to evaluate the relationship between specific aspects of higher occupational levels and outcome of treatment for depression. Although a large number of studies have investigated workplace risk factors for depressive disorders, greater attention needs to be paid to effective treatment and its implications for prognosis. The workplace risk factors for depression already identified (e.g. high demands, overwork, poor decision latitude, poor social support, etc.) also need to be investigated further in high occupational levels in relation to response in the short and long term.

The identification of factors that may interfere with the outcome of currently existing treatments for depressive disorders should be examined in relation to occupational level. These would undoubtedly help to improve the policies needed to promote effectiveness of current treatments. Targeting a functional and working recovery is beneficial to the individual who suffers from depression, but also has positive benefits in terms of reduced disability, absenteeism and presenteeism, increased productivity and reduction in direct and indirect costs associated with depression (Mrazek et al., Reference Mrazek, Hornberger, Altar and Degtiar2014; Evans-Lacko and Knapp, Reference Evans-Lacko and Knapp2016).

Conclusions

Work represents an important and meaningful aspect of an individual's life and it may have a particularly important role for people in high occupational levels where responsibilities and cognitive demands are great. It is important to understand the role of the professional activity as an important factor in delaying the recovery process. Currently, this is a significant gap in the scientific literature.

It appears that people in high occupational levels respond with greater difficulty to treatment for major depression (Mandelli et al., Reference Mandelli, Serretti, Souery, Mendlewicz, Kasper, Montgomery and Zohar2016). The reasons for this effect are not clearly established, but we can speculate that the stress factors in the workplace play a significant role.

These aspects should be carefully assessed in clinical practice. Patient education and the therapeutic alliance between clinician and patient can help improve adherence to treatment, which would lead to better outcome. Further studies are needed to fully elucidate the predictors of response in those in high-level occupations.

Acknowledgements

None.

Financial support

This article was not supported by external funding.

Disclosure statement

Expert Platform on Mental Health – Focus on Depression.

Conflict of interest

Dr Souery has received grant/research support from GlaxoSmithKline and Lundbeck; and he has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Janssen and Lundbeck. Dr Mendlewicz is a member of the board of the Lundbeck International Neuroscience Foundation and of the advisory board of Servier. Dr Serretti is or has been a consultant/speaker for Abbott, Abbvie, Angelini, AstraZeneca, Clinical Data, Boheringer, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Innovapharma, Italfarmaco, Janssen, Lundbeck, Naurex, Pfizer, Polifarma, Sanofi and Servier. Dr Zohar has received grant/research support from Lundbeck, Servier and Pfizer; he has served as a consultant or on advisory boards for Servier, Pfizer, Solvay and Actelion; and he has served on speakers’ bureaus for Lundbeck, GlaxoSmithKline, Jazz and Solvay. Dr Montgomery has been a consultant or served on advisory boards for AstraZeneca, Bionevia, Bristol-Myers Squibb, Forest, GlaxoSmithKline, Grunenthal, Intellect Pharma, Johnson & Johnson, Lilly, Lundbeck, Merck, Merz, M's Science, Neurim, Otsuka, Pierre Fabre, Pfizer, Pharmaneuroboost, Richter, Roche, Sanofi, Sepracor, Servier, Shire, Synosis, Takeda, Theracos, Targacept, Transcept, UBC, Xytis and Wyeth. Dr Kasper has received grant/research support from Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Lundbeck, Organon, Pfizer, Sepracor and Servier; he has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Janssen, Lundbeck, Merck Sharp and Dome, Novartis, Organon, Pfizer, Schwabe, Sepracor and Servier; and he has served on speakers’ bureaus for Angelini, AOP-Pharma, AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Janssen, Lundbeck, Neuraxpharm, Pfizer, Pierre Fabre, Schwabe, Sepracor, Servier and Wyeth. All other authors declare that they have no conflicts of interest.

References

Adisa, R, Alutundu, MB and Fakeye, TO (2009) Factors contributing to nonadherence to oral hypoglycemic medications among ambulatory type 2 diabetes patients in Southwestern Nigeria. Pharmacy Practice (Granada) 7, 163169.Google Scholar
Al-Sukhni, M, Maruschak, NA and McIntyre, RS (2015) Vortioxetine: a review of efficacy, safety and tolerability with a focus on cognitive symptoms in major depressive disorder. Expert Opinion on Drug Safety 14, 12911304.Google Scholar
Argyropoulos, SV and Nutt, DJ (2013) Anhedonia revisited: is there a role for dopamine-targeting drugs for depression? Journal of Psychopharmacology 27, 869877.Google Scholar
Bonde, JP (2008) Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occupational & Environmental Medicine 65, 438445.Google Scholar
Chan, SM, Chiu, FK, Lam, CW, Wong, SM and Conwell, Y (2014) A multidimensional risk factor model for suicide attempts in later life. Neuropsychiatric Disease Treatment 10, 18071817.Google Scholar
Cheng, IC, Liao, SC, Lee, MB and Tseng, MM (2007) Predictors of treatment response and length of stay for inpatients with major depression. Journal of Formosan Medical Association 106, 903910.Google Scholar
Coenen, P, Willenberg, L, Parry, S, Shi, JW, Romero, L, Blackwood, DM, Maher, CG, Healy, GN, Dunstan, DW and Straker, LM (2016) Associations of occupational standing with musculoskeletal symptoms: a systematic review with meta-analysis. British Journal of Sports Medicine 52, 176183.Google Scholar
Couser, GP (2008) Challenges and opportunities for preventing depression in the workplace: a review of the evidence supporting workplace factors and interventions. Journal of Occupational & Environmental Medicine 50, 411427.Google Scholar
Drago, A and Serretti, A (2011) Sociodemographic features predict antidepressant trajectories of response in diverse antidepressant pharmacotreatment environments: a comparison between the STAR*D study and an independent trial. Journal of Clinical Psychopharmacology 31, 345348.Google Scholar
Ekman, M, Granstrom, O, Omerov, S, Jacob, J and Landen, M (2013) The societal cost of bipolar disorder in Sweden. Social Psychiatry and Psychiatric Epidemiology 48, 16011610.Google Scholar
Evans-Lacko, S and Knapp, M (2016) Global patterns of workplace productivity for people with depression: absenteeism and presenteeism costs across eight diverse countries. Social Psychiatry and Psychiatric Epidemiology 51, 15251537.Google Scholar
Fava, M (2006) Pharmacological approaches to the treatment of residual symptoms. Journal of Psychopharmacology 20, 2934.Google Scholar
Fava, GA, Fabbri, S and Sonino, N (2002) Residual symptoms in depression: an emerging therapeutic target. Progress in Neuro-Psychopharmacology & Biological Psychiatry 26, 10191027.Google Scholar
Frank, E (1997) Enhancing patient outcomes: treatment adherence. Journal of Clinical Psychiatry 58 Suppl 1, 1114.Google Scholar
Fryers, T, Melzer, D and Jenkins, R (2003) Social inequalities and the common mental disorders: a systematic review of the evidence. Social Psychiatry and Psychiatric Epidemiology 38, 229237.Google Scholar
Harmer, CJ (2008) Serotonin and emotional processing: does it help explain antidepressant drug action? Neuropharmacology 55, 10231028.Google Scholar
Hawksley, B (2007) Work-related stress, work/life balance and personal life coaching. British Journal of Community Nursing 12, 3436.Google Scholar
Hollingshead, AB (1975) Four Factor Index of Social Position. New Haven, CT: Department of Sociology, Yale University.Google Scholar
Jakubovski, E and Bloch, MH (2014) Prognostic subgroups for citalopram response in the STAR*D trial. Journal of Clinical Psychiatry 75, 738747.Google Scholar
Judge, TA, Bono, JE, Ilies, R and Gerhardt, MW (2002) Personality and leadership: a qualitative and quantitative review. Journal of Applied Psychology 87, 765780.Google Scholar
Keefe, RS, McClintock, SM, Roth, RM, Doraiswamy, PM, Tiger, S and Madhoo, M (2014) Cognitive effects of pharmacotherapy for major depressive disorder: a systematic review. Journal of Clinical Psychiatry 75, 864876.Google Scholar
Kennedy, N and Foy, K (2005) The impact of residual symptoms on outcome of major depression. Current Psychiatry Reports 7, 441446.Google Scholar
Kessler, RC, Berglund, P, Demler, O, Jin, R, Koretz, D, Merikangas, KR, Rush, AJ, Walters, EE and Wang, PS (2003) The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA 289, 30953105.Google Scholar
Kessler, RC, Chiu, WT, Demler, O, Merikangas, KR and Walters, EE (2005) Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 617627.Google Scholar
Malpass, A, Shaw, A, Sharp, D, Walter, F, Feder, G, Ridd, M and Kessler, D (2009) ‘Medication career’ or ‘moral career’? The two sides of managing antidepressants: a meta-ethnography of patients’ experience of antidepressants. Social Science & Medicine 68, 154168.Google Scholar
Mandelli, L, Serretti, A, Souery, D, Mendlewicz, J, Kasper, S, Montgomery, S and Zohar, J (2016) High occupational level is associated with poor response to treatment of depression. European Neuropsychopharmacology 26, 13201326.Google Scholar
Marutani, T, Yahata, N, Ikeda, Y, Ito, T, Yamamoto, M, Matsuura, M, Matsushima, E, Okubo, Y, Suzuki, H and Matsuda, T (2011) Functional magnetic resonance imaging study on the effects of acute single administration of paroxetine on motivation-related brain activity. Psychiatry & Clinical Neuroscience 65, 191198.Google Scholar
Mathers, CD, Salomon, JA, Ezzati, M, Begg, S, Hoorn, SV and Lopez, AD (2006) Sensitivity and uncertainty analyses for burden of disease and risk factor estimates. In Lopez, AD, Mathers, CD, Ezzati, M, Jamison, DT and Murray, CJL (eds), Global Burden of Disease and Risk Factors, pp. 399426. Washington, DC: Oxford University Press.Google Scholar
McCabe, C, Mishor, Z, Cowen, PJ and Harmer, CJ (2010) Diminished neural processing of aversive and rewarding stimuli during selective serotonin reuptake inhibitor treatment. Biological Psychiatry 67, 439445.Google Scholar
McIntyre, RS, Xiao, HX, Syeda, K, Vinberg, M, Carvalho, AF, Mansur, RB, Maruschak, N and Cha, DS (2015) The prevalence, measurement, and treatment of the cognitive dimension/domain in major depressive disorder. CNS Drugs 29, 577589.Google Scholar
Milner, A, Spittal, MJ, Pirkis, J and LaMontagne, AD (2013) Suicide by occupation: systematic review and meta-analysis. British Journal of Psychiatry 203, 409416.Google Scholar
Modini, M, Joyce, S, Mykletun, A, Christensen, H, Bryant, RA, Mitchell, PB and Harvey, SB (2016) The mental health benefits of employment: results of a systematic meta-review. Australasian Psychiatry 24, 331336.Google Scholar
Montejo, AL (2009) Toward depression remission: balancing efficacy and tolerability. Journal of Clinical Psychiatry 70, e36.Google Scholar
Mrazek, DA, Hornberger, JC, Altar, CA and Degtiar, I (2014) A review of the clinical, economic, and societal burden of treatment-resistant depression: 1996–2013. Psychiatric Services 65, 977987.Google Scholar
Muntaner, C, Eaton, WW, Miech, R and O'Campo, P (2004) Socioeconomic position and major mental disorders. Epidemiologic Reviews 26, 5362.Google Scholar
Papakostas, GI and Culpepper, L (2015) Understanding and managing cognition in the depressed patient. Journal of Clinical Psychiatry 76, 418425.Google Scholar
Ridge, D, Kokanovic, R, Broom, A, Kirkpatrick, S, Anderson, C and Tanner, C (2015) ‘My dirty little habit’: patient constructions of antidepressant use and the ‘crisis’ of legitimacy. Social Science & Medicine 146, 5361.Google Scholar
Rusch, N, Angermeyer, MC and Corrigan, PW (2005) Mental illness stigma: concepts, consequences, and initiatives to reduce stigma. European Psychiatry 20, 529539.Google Scholar
Serretti, A and Chiesa, A (2009) Treatment-emergent sexual dysfunction related to antidepressants: a meta-analysis. Journal of Clinical Psychopharmacology 29, 259266.Google Scholar
Serretti, A and Mandelli, L (2010) Antidepressants and body weight: a comprehensive review and meta-analysis. Journal of Clinical Psychiatry 71, 12591272.Google Scholar
Serretti, A, Calati, R, Goracci, A, Di Simplicio, M, Castrogiovanni, P and De Ronchi, D (2010) Antidepressants in healthy subjects: what are the psychotropic/psychological effects? European Neuropsychopharmacology 20, 433453.Google Scholar
Shannonhouse, JL, DuBois, DW, Fincher, AS, Vela, AM, Henry, MM, Wellman, PJ, Frye, GD and Morgan, C (2016) Fluoxetine disrupts motivation and GABAergic signaling in adolescent female hamsters. Progress in Neuro-Psychopharmacology & Biological Psychiatry 69, 1930.Google Scholar
Shelton, RC, Tollefson, GD, Tohen, M, Stahl, S, Gannon, KS, Jacobs, TG, Buras, WR, Bymaster, FP, Zhang, W, Spencer, KA, Feldman, PD and Meltzer, HY (2001) A novel augmentation strategy for treating resistant major depression. American Journal of Psychiatry 158, 131134.Google Scholar
Stahl, SM (2015) Modes and nodes explain the mechanism of action of vortioxetine, a multimodal agent (MMA): actions at serotonin receptors may enhance downstream release of four pro-cognitive neurotransmitters. CNS Spectrums 20, 515519.Google Scholar
Sudak, H, Maxim, K and Carpenter, M (2008) Suicide and stigma: a review of the literature and personal reflections. Academic Psychiatry 32, 136142.Google Scholar
Tennant, C (2001) Work-related stress and depressive disorders. Journal of Psychosomatic Research 51, 697704.Google Scholar
Theorell, T, Hammarstrom, A, Aronsson, G, Traskman Bendz, L, Grape, T, Hogstedt, C, Marteinsdottir, I, Skoog, I and Hall, C (2015) A systematic review including meta-analysis of work environment and depressive symptoms. BMC Public Health 15, 738.Google Scholar
Thomas, C and Morris, S (2003) Cost of depression among adults in England in 2000. British Journal of Psychiatry 183, 514519.Google Scholar
Tseng, MC, Cheng, IC, Lee, YJ and Lee, MB (2006) Intermediate-term outcome of psychiatric inpatients with major depression. Journal of the Formosan Medical Association 105, 645652.Google Scholar
van der Lem, R, Stamsnieder, PM, van der Wee, NJ, van Veen, T and Zitman, FG (2013) Influence of sociodemographic and socioeconomic features on treatment outcome in RCTs versus daily psychiatric practice. Social Psychiatry and Psychiatric Epidemiology 48, 975984.Google Scholar
Wada, K, Eguchi, H, Prieto-Merino, D and Smith, DR (2016) Occupational differences in suicide mortality among Japanese men of working age. Journal of Affective Disorders 190, 316321.Google Scholar
Yee, A, Chin, SC, Hashim, AH, Harbajan Singh, MK, Loh, HS, Sulaiman, AH and Ng, CG (2015) Anhedonia in depressed patients on treatment with selective serotonin reuptake inhibitor anti-depressant – a two-centered study in Malaysia. International Journal of Psychiatry in Clinical Practice 19, 182187.Google Scholar
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Fig. 1. Treatment response rates depending on the occupational level according to Mandelli et al. (2016).