Minor psychiatric morbidity in employed young men and women and its contribution to sickness absence.

Jenkins, Rachel

doi:10.1136/oem.42.3.147

Cited by 56 publications

(44 citation statements)

References 19 publications

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“…It measures only days of certificated absence for which mental disorder was the recorded reason. Jenkins' (1985) study of employed men and women found that minor psychiatric morbidity was a major determinant of the level of all types of sickness absence, both certificated and uncertificated. She found that over 32% of employees with sickness absence were psychiatric 'cases', and that these people missed an average of 8-5 days per year.…”

Section: Lost Productionmentioning

confidence: 99%

Estimated costs of neurotic disorder in UK general practice 1985

Croft-Jeffreys¹,

Wilkinson²

1989

Psychol. Med.

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Section: Lost Productionmentioning

confidence: 99%

Estimated costs of neurotic disorder in UK general practice 1985

Croft-Jeffreys¹,

Wilkinson²

1989

Psychol. Med.

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“…Seven papers considered factors affecting RTW in relation to a broad definition of psychiatric morbidity (mental illness) including any psychiatric morbidity [9,13], minor psychiatric morbidity [11,12], psychiatric illness [7], and long term mental disabilities [10,14].…”

Section: Psychiatric Morbiditymentioning

confidence: 99%

A Systematic Review of the Factors which Predict Return to Work for People Suffering Episodes of Poor Mental Health

et al. 2008

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Introduction Poor mental health is responsible for a large percentage of long term work absence, and only 50% of those who are off work for 6 months or more return to work. Method We aimed to describe the factors which predict or restrict return to work for people suffering episodes of poor mental health. A literature review was conducted to identify all papers relating to long term mental illness absence. Results Fourteen papers of varying methodological quality considered mental health in relation to psychiatric morbidity, depression, stress, and body weight. Successful return to work is predicted by factors related to work, family history, health risk behaviours, social status, and medical condition. Conclusions This study identifies a range of factors which are important in preventing return to work for people with mental health conditions. The factors affecting RTW after a period of sickness absence due to poor mental health are wide ranging and in some cases studies have produced opposing results (particularly in the case of demographic factors). Further research is required to describe the factors which delay return to work for people experiencing episodes of poor mental health.

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“…Some studies looked at interview-based psychiatric disorders (Kessler and Frank 1997;Dewa and Lin 2000;Kouzis and Eaton 1994;Suija et al 2009;Kruijshaar et al 2003;Broadhead et al 1990;Jenkins 1985;Laitinen-Krispijn and Bijl 2000), others at questionnaire-based psychological symptoms (Hilton et al 2008;Bültmann et al 2005Bültmann et al , 2006Virtanen et al 2007;Kivimäki et al 2001;Bourbonnais and Mondor 2001;Andrea et al 2003;Väänänen et al 2003; Lexis et al 2009;Duijts et al 2006;Eriksen et al 2003;Janssen et al 2003;Ahola et al 2008;Borritz et al 2006;Kivimäki et al 2007;Krantz and Ostergren 2002). The symptom predictors studied were distress (Hilton et al 2008;Bültmann et al 2005;Virtanen et al 2007;Kivimäki et al 2001;Bourbonnais and Mondor 2001;Andrea et al 2003;Väänänen et al 2003), depression (Bültmann et al 2006; Lexis et al 2009;Duijts et al 2006;Eriksen et al 2003), fatigue (Bültmann et al 2005;Andrea et al 2003;Duijts et al 2006;Eriksen et al 2003;…”

mentioning

confidence: 99%

“…Few studies analyzed SA both in terms of frequency and duration as recommended by Hensing et al (1998). SA was either established by self-report (Hilton et al 2008;Kessler and Frank 1997;Dewa and Lin 2000;Kouzis and Eaton 1994;Suija et al 2009;Kruijshaar et al 2003;Broadhead et al 1990;Jenkins 1985;Laitinen-Krispijn and Bijl 2000;Eriksen et al 2003;Borritz et al 2006) or by organizational absence records (Bültmann et al 2005(Bültmann et al , 2006Virtanen et al 2007;Kivimäki et al 2001Kivimäki et al , 2007Bourbonnais and Mondor 2001;Andrea et al 2003;Väänänen et al 2003;Lexis et al 2009;Duijts et al 2006;Janssen et al 2003;Ahola et al 2008;Krantz and Ostergren 2002). Not all studies have taken into account possible confounding or effect modification by other factors.…”

mentioning

confidence: 99%

Psychological symptoms and subsequent sickness absence

Terluin

Rhenen²,

Anema

et al. 2011

Int Arch Occup Environ Health

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Purpose Mental health problems are associated with sickness absence (SA). The present study aimed at establishing which symptoms-distress, depression, anxiety, or somatization-at which symptom levels were associated with SA frequency and duration. Moreover, a number of possible confounders or effect modifiers were taken into account. Methods A survey was completed by 3,678 employees of a large Dutch telecom company. Symptoms were measured using the Four-Dimensional Symptom Questionnaire (4DSQ). SA data were registered by the company's occupational health service during the 12 months' period following the survey. Poisson regression was used to analyze the number of SA spells (SA frequency). Negative binomial regression was used to analyze the total number of SA days (SA duration). Results In the bivariate analyses distress, depression, anxiety, and somatization impacted on SA frequency and duration. In the multivariate analyses, anxiety and depression turned out not to be directly associated with SA, suggesting that the effect of anxiety and depression was due to the association between anxiety/depression and distress/somatization. Regarding the SA frequency, the rate ratio for 'subclinical' distress was 1.13 (95% CI 1.03-1.25), for 'clinical' distress 1.26 (1.08-1.47), for 'subclinical' somatization 1.34 (1.23-1.46), and for 'clinical' somatization 1.69 (1.46-1.95). Regarding the SA duration, the count ratio for 'subclinical' distress was 1.15 (95% CI 0.91-1.44), for 'clinical' distress 1.50 (1.04-2.16), for 'subclinical' somatization 1.34 (1.10-1.64), and for 'clinical' somatization 1.45 (1.04-2.03). Conclusions Somatization and distress are key to understand why depression and anxiety are related to SA.

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Minor psychiatric morbidity in employed young men and women and its contribution to sickness absence.

Cited by 56 publications

References 19 publications

Estimated costs of neurotic disorder in UK general practice 1985

Estimated costs of neurotic disorder in UK general practice 1985

A Systematic Review of the Factors which Predict Return to Work for People Suffering Episodes of Poor Mental Health

Psychological symptoms and subsequent sickness absence

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