Is the effect of work-related psychosocial exposure on depressive and anxiety disorders short-term, lagged or cumulative?

Boini, Stéphanie; Kolopp, Martin; Grzebyk, Michel; Hédelin, Guy; Chouanière, Dominique

doi:10.1007/s00420-019-01466-9

Cited by 5 publications

(7 citation statements)

References 40 publications

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“…In addition, the study design with currently only one baseline survey and one follow-up survey does not permit a closer examination of possible changes over time, for example, whether working or commuting times were reduced in the course of the follow-up due to symptoms at the baseline survey (40). For these reasons, both longitudinal and crosssectional analyses were conducted in the present study in order to be able to examine at least short-term effects (23). An additional limitation of the present study is -as has already been mentioned above -that the means of transport used for commuting were not recorded.…”

Section: Methodical Considerationsmentioning

confidence: 99%

“…Multiple logistic regressions were calculated separately for both exposures in order to statistically estimate the influence of excessive working and commuting times (independent variables) on the occurrence of depressive symptoms (dependent variable). Both crosssectional correlations and time-lagged effects were considered (22,23). In addition to models without adjustment (model 1), adjusted models were calculated.…”

Section: Methodsmentioning

confidence: 99%

“…Another important issue when investigating effects of work and commuting time is the length of follow-up time in longitudinal studies of depressive symptoms (22). Current findings from research on psychosocial workload show that the associations between stress and mental health vary depending on the time perspective (23).…”

Section: Introductionmentioning

confidence: 99%

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Long working and commuting times as risk factors for depressive symptoms. Cross-sectional and longitudinal analyses

Dragano

Burr

Formazin

et al. 2022

Preprint

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Background: Regular long working and commuting hours are thought to have negative consequences for mental health. However, the study results are not clear and vary by country. The present analysis examines associations between working or commuting hours and depressive symptoms for Germany. Method: The S-MGA study (German Study on Mental Health at Work) is a longitudinal cohort of a random sample of employees subject to social insurance contributions. We analysed data from 3 413 participants of the baseline survey (cross-sectional analysis) and from 2 019 people who participated at baseline and at a follow-up survey five years later (longitudinal analysis). Weekly working and commuting hours as well as covariates (age, gender, occupational position, psychosocial working conditions) were collected at baseline. Depressive symptoms were recorded with the Patient Health Questionnaire at both waves. Multivariate logistic regression models were used to control for covariates. Results: At baseline survey, 7 % of the employees had overlong working hours of ≥ 55 hours per week, and another 8 % worked > 48-54 hours. Long working hours were cross-sectionally associated with moderately elevated depressive symptoms compared to normal working hours (35-< 40 h/week). When new depressive symptoms after five years were considered, the correlation was significant for > 55 weekly working hours (odds ratio [OR] 2.14; 95 % confidence interval [CI] 1.11;4.12), but not for > 48-54 h (OR 1.26, CI 0.65;2.43). Employees who commuted ten hours or more per week had more depressive symptoms cross-sectionally (OR 1.83; CI 1.13;2.94) compared to the reference group who commuted < 2.5 hours. This correlation was not observed longitudinally. Conclusions: The results suggest that excessive working and commuting time is associated with depressive symptoms in employees, although the effects of commuting time were only found cross-sectionally. The results underline the importance of adhering to working time regulations and avoiding excessive working hours. Further research is needed on the role of commuting.

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Section: Methodical Considerationsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Long working and commuting times as risk factors for depressive symptoms. Cross-sectional and longitudinal analyses

Dragano

Burr

Formazin

et al. 2022

Preprint

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“…Accordingly, studies focused on the relationship between work-related exposure to a variety of events and depressive symptoms are valuable for securing a good work environment and retaining high-quality workers. A number of previous studies have focused on work-related stress factors such as exposure to a disaster 7 , 8 ) , interpersonal conflict 9 ) , and job characteristics 10 , 11 ) . For example, a report by Theorell et al revealed subacute potential risk factors for myocardial infarction and other stress-related illnesses, including neurosis at work in >9,000 construction workers in Stockholm country 12 ) .…”

Section: Introductionmentioning

confidence: 99%

Effect of work-related events on depressive symptoms in Japanese employees: a web-based longitudinal study

et al. 2020

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While a number of work-related events have been proposed as risk factors for depression, a majority of studies have focused only on a few events in a single study. Therefore, we conducted a web-based longitudinal study to comprehensively investigate the impact of various work-related events on depressive symptoms. Ten thousand Japanese workers representing the Japanese working population were recruited online and questioned on their experiences of 36 work-related events in the past year. Their depressive symptoms were also assessed based on the Center for Epidemiologic Studies Depression Scale. Two years later, 3,098 participants responded to a follow-up study. By excluding 1,030 participants who were classified as being depressed in the baseline survey, data of 2,068 participants were analyzed. Odds ratios (OR) were calculated using multivariate logistic regression to assess the effect of work-related events on depressive symptoms. Sixteen events were found to be risk factors and were sorted into four types as follows: experience of an accident or disaster (OR: 4.78–7.67), excessive responsibility (OR: 3.01–3.62), drastic change in workstyle or workload (OR: 2.38–3.08), and interpersonal conflict (OR: 2.41–11.16). The current results, including magnitude relationship of ORs, should be utilized for promoting psychosocially healthy work environment.

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“…Um den Einfluss überlanger Arbeits-und Pendelzeiten (unabhängige Variablen) auf das Auftreten einer depressiven Symptomatik (abhängige Variable) statistisch zu schätzen, wurden für beide Expositionen getrennt multiple logistische Regressionen berechnet. Es wurden sowohl zeitgleiche Zusammenhänge im Querschnitt als auch zeitverzögerte Effekte im Längsschnitt betrachtet[21,22]. Neben Modellen ohne Adjustierung (Modell 1) wurden adjustierte Modelle berechnet.…”

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Lange Arbeits- und Pendelzeiten als Risikofaktoren für eine depressive Symptomatik: Quer- und Längsschnittanalysen

Dragano,

Burr,

Formazin

et al. 2023

Gesundheitswesen

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Zusammenfassung Hintergrund Regelmäßige lange Arbeitszeiten und Arbeitswege könnten negative Folgen für die psychische Gesundheit haben. Die Studienergebnisse hierzu sind jedoch nicht eindeutig und variieren nach Ländern. Die vorliegende Analyse prüft für Deutschland Zusammenhänge zwischen langen Pendel- bzw. Arbeitszeiten und depressiver Symptomatik. Methode Die „Studie Mentale Gesundheit bei der Arbeit“ (S-MGA) ist eine Längsschnittuntersuchung einer Zufallsstichprobe sozialversicherungspflichtig Beschäftigter. An der Basiserhebung nahmen 3 413 Personen teil, von denen 2 019 nach 5 Jahren erneut befragt wurden. Wöchentliche Arbeits- und Pendelzeiten sowie Covariaten (Alter, Geschlecht, berufliche Position, psychosoziale Arbeitsbedingungen) wurden zur Basisuntersuchung erhoben. Depressive Symptome wurden zu beiden Messzeitpunkten mit dem Patient Health Questionnaire (PHQ-9) erfasst. Um Zusammenhänge zu untersuchen, wurden mittels logistischer Regression Odds Ratios mit 95%-Konfidenzintervallen unter Kontrolle von Covariaten kalkuliert. Es wurden sowohl Querschnitts- (nur Basiserhebung) als auch Längsschnittsanalysen (Basis- und Nacherhebung) durchgeführt. Ergebnisse Zur Basiserhebung hatten 7% der Beschäftigten lange wöchentliche Arbeitszeiten von≥55 Stunden, weitere 8% arbeiteten 49 bis 54 Stunden. Im Querschnitt waren lange Arbeitszeiten mit einer moderaten Erhöhung der depressiven Symptomatik gegenüber der Normalarbeitszeit (35 bis<40 h/Wo) assoziiert. Wenn die nach fünf Jahren neu auftretende depressive Symptomatik betrachtet wurde, war der Zusammenhang für Arbeitszeiten von 55 und mehr Stunden deutlich ausgeprägt (Odds ratio (OR) 2,14; 95% Konfidenzintervall (KI) 1,11;4,12), nicht jedoch für Arbeitszeiten von 49 bis 54 Stunden (OR 1,26, KI 0,65;2,43). Beschäftigte, die wöchentlich zehn Stunden und mehr pendelten, hatten im Querschnitt häufiger eine depressive Symptomatik (OR 1,83; KI 1,13;2,94) im Vergleich zur Referenzgruppe, die<2,5 Stunden pendelte. Dieser Zusammenhang war im Längsschnitt nicht zu beobachten. Schlussfolgerungen Die Ergebnisse legen nahe, dass überlange Arbeits- und Pendelzeiten mit einer depressiven Symptomatik bei Beschäftigten assoziiert sind, wobei die Effekte bzgl. Pendelzeit nur im Querschnitt zu finden waren. Die Ergebnisse unterstreichen die Bedeutung der Einhaltung von Arbeitszeitregelungen und der Vermeidung überlanger Arbeitszeiten für die Mitarbeitergesundheit. Zur Rolle des Pendelns sind weiterführende Untersuchungen nötig.

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Is the effect of work-related psychosocial exposure on depressive and anxiety disorders short-term, lagged or cumulative?

Cited by 5 publications

References 40 publications

Long working and commuting times as risk factors for depressive symptoms. Cross-sectional and longitudinal analyses

Long working and commuting times as risk factors for depressive symptoms. Cross-sectional and longitudinal analyses

Effect of work-related events on depressive symptoms in Japanese employees: a web-based longitudinal study

Lange Arbeits- und Pendelzeiten als Risikofaktoren für eine depressive Symptomatik: Quer- und Längsschnittanalysen

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