Misclassification and the use of register‐based indicators for depression

Thielen, Karsten; Nygaard, Else; Andersen, Ingelise; Rugulies, Reiner; Heinesen, Eskil; Bech, Per; Bültmann, Ute; Diderichsen, Finn

doi:10.1111/j.1600-0447.2008.01282.x

Cited by 61 publications

(57 citation statements)

References 26 publications

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“…We had information only on those affective disorders severe enough to necessitate hospitalization, which accounts for approximately 10% of all people with depression. 39 We cannot rule out the possibility that early parental loss may affect less severe depression differently. Our results therefore cannot be generalized directly to the incidence of affective disorders or to people with less F32, F33, F34, F38, and F39), and all other psychiatric diagnoses.…”

Section: Discussionmentioning

confidence: 99%

Early Parental Death and Risk of Hospitalization for Affective Disorder in Adulthood

et al. 2013

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Section: Discussionmentioning

confidence: 99%

Early Parental Death and Risk of Hospitalization for Affective Disorder in Adulthood

et al. 2013

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“…Several studies have demonstrated that common mental disorders are severely undertreated and that administrative data (e.g., hospital admission, prescription drugs registries) underestimate prevalence, especially among people of lower socioeconomic position (Wittchen and Jacobi 2005;Thielen et al 2009). Workplace studies, such as the British Whitehall II study and the French GAZEL study have shown that people of lower occupational grade have poorer mental health (Stansfeld et al 2003;Melchior et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Occupational position and its relation to mental distress in a random sample of Danish residents

Rugulies

Madsen

Nielsen

et al. 2009

Int Arch Occup Environ Health

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“…Purchase of antidepressants might not yield results that are comparable to symptoms-based measurements because a substantial proportion of individuals with depression are not treated with antidepressants (4, 48) and antidepressants are also prescribed for other disorders, such as anxiety, sleep disorders, or neuropathic pain (49). Further, purchase of antidepressants requests healthcare utilization, which is determined by a multitude of factors (50) that may cause bias, in particular when studying exposures that are related to socioeconomic position (51). The study by Nielsen et al (44) was from Denmark and two previous studies from this country showed that poor job climate predicted risk of hospitalization for depression (52) but not purchase of antidepressants (53), indicating that antidepressant purchase may be a problematic measure for onset of depression.…”

Section: Summary Of Evidencementioning

confidence: 99%

Effort–reward imbalance at work and risk of depressive disorders. A systematic review and meta-analysis of prospective cohort studies

Rugulies

Aust²,

Madsen³

2017

Scand J Work Environ Health

256

204

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Effort-reward imbalance at work and risk of depressive disorders. A systematic review and meta-analysis of prospective cohort studies by Rugulies R, Aust B, Madsen IEH Effort-reward imbalance at work predicted a 1.5-fold increased risk of depressive disorders in this systematic review and meta-analysis of eight prospective cohort studies from Europe, Canada and the USA. This study provides the hitherto strongest evidence for a possible role of effort-reward imbalance in the etiology of depressive disorders. Review Scand J Work Environ Health. 2017;43(4):294-306. doi:10.5271/sjweh.3632 Effort-reward imbalance at work and risk of depressive disorders. A systematic review and meta-analysis of prospective cohort studies Objective The aim of this review was to determine whether employees exposed to effort-reward imbalance (ERI) at work have a higher risk of depressive disorders than non-exposed employees. AffiliationMethods We conducted a systematic review and meta-analysis of published prospective cohort studies examining the association of ERI at baseline with onset of depressive disorders at follow-up. The work was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and a detailed study protocol was registered before literature search commenced (Registration number: CRD42016047581). We obtained a summary estimate for the association of ERI with risk of depressive disorders by pooling the study-specific estimates in a meta-analysis. We further conducted pre-defined sensitivity analyses.Results We identified eight eligible cohort studies, encompassing 84 963 employees and 2897 (3.4%) new cases of depressive disorders. Seven of the eight studies suggested an increased risk of depressive disorders among employees exposed to ERI. The pooled random-effects estimate was 1.49 [95% confidence interval (95% CI) 1.23-1.80, P<0.001], indicating that ERI predicts risk of depressive disorders. The estimate was robust in sensitivity analyses stratified by study quality, type of ERI ascertainment and type depressive disorder ascertainment, respectively. Conclusions Employees exposed to ERI were at increased risk of depressive disorder. Future studies on ERI and depressive disorders should examine if this association is stronger or weaker when ERI is measured repeatedly during follow-up and with other methods than self-report or when depressive disorders are ascertained with clinical diagnostic interviews.

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Misclassification and the use of register‐based indicators for depression

Abstract: Misclassification and the use of register-based indicators for depression Thielen, K.; Nygaard, E.; Andersen, I.; Rugulies, R.; Heinesen, E.; Bech, P.; Diderichsen, F.; Bultmann, U.

Cited by 61 publications

References 26 publications

Early Parental Death and Risk of Hospitalization for Affective Disorder in Adulthood

Early Parental Death and Risk of Hospitalization for Affective Disorder in Adulthood

Occupational position and its relation to mental distress in a random sample of Danish residents

Effort–reward imbalance at work and risk of depressive disorders. A systematic review and meta-analysis of prospective cohort studies

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