Effort-reward imbalance among students at German universities: associations with self-rated health and mental health

Hilger-Kolb, Jennifer; Diehl, Katharina; Herr, Raphael M.; Loerbroks, Adrian

doi:10.1007/s00420-018-1342-3

Cited by 33 publications

(42 citation statements)

References 51 publications

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“…Unlike previous studies (Hahn et al, 2017;Hilger-Kolb et al, 2018) where medical students' OC was related to poor health, depression, and anxiety, higher OC was related to higher engagement in our premedical and medical students. In a competitive environment of medical schools (Wege, Muth, Li, & Angerer, 2016), medical students who are usually characterized as high performers may not withdraw from their studies.…”

Section: Effort-reward Imbalance Model and Engagementcontrasting

confidence: 98%

“…It is also known that over-commitment (OC) tendency can strengthen the impact of this imbalance on stress. For medical students, ERI and OC have been reported to be significantly associated with poor health, anxiety, and depression (Hahn, Kropp, Kirschstein, Rucker, & Muller-Hilke, 2017;Hilger-Kolb, Diehl, Herr, & Loerbroks, 2018). Yet, the relationship between ERI and positive psychological indicators such as engagement has not been fully explored yet except a pilot study (Hwang, Kim, Kwon, & Kim, 2019).…”

Section: Effort-reward Imbalance Model and Engagementmentioning

confidence: 99%

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The Effect of Admission Year and Effort-Reward Imbalance Model on Engagement

Hwang

Kim

2019

JED

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Engagement has not been widely studied in the field of medical education. The purpose of this study was to determine the relationship between admission year and engagement, assuming that characteristics of admission cohorts might be different depending on year. Association between effort-reward imbalance (ERI) model and engagement was also reinvestigated. Data were collected from 164 students in The Catholic University of Korea, College of Medicine. Ninety-nine (18.97%) students in 2017 and 65 (12.38%) students in 2018 answered an online questionnaire measuring demographic variables, ERI, over-commitment (OC), negative affect, and engagement. Participants’ admission years were determined based on years in school they responded. Affiliation and year in school were removed because of their high correlation with admission year. Categorical regression analysis was performed. Admission year, binary ERI, and OC were significant explanatory variables in this categorical regression model (R2 = .312, Adjusted R2 = .255, F = 5.444, p = .000). Admission year, binary ERI, and OC accounted for 13.4%, 27.9%, and 9.4% of the importance in this model, respectively. Quantification plots for admission year and binary ERI showed that engagement was the highest in 2018 admission cohort but the lowest in 2013 admission cohort; being reciprocally rewarded for efforts was associated with higher scores of engagement. A certain admission cohort can be more engaged or less engaged in learning. This study also confirms that receiving proper rewards for efforts could be related to increase in engagement.

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Section: Effort-reward Imbalance Model and Engagementcontrasting

confidence: 98%

Section: Effort-reward Imbalance Model and Engagementmentioning

confidence: 99%

The Effect of Admission Year and Effort-Reward Imbalance Model on Engagement

Hwang

Kim

2019

JED

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“…Dies kann zum einen an dem Vorliegen finanzieller Schwierigkeiten liegen, welche bereits in anderen Studien zu Studierenden mit einem schlechteren Gesundheitszustand verbunden waren [27]. Zum anderen kann die Doppelbelastung von Studium und Nebenerwerb möglicherweise den Druck auf die Studierenden erhöhen und zu Stress führen, was für die Gesundheit unzuträglich ist [28]. Studierende mit einem Studienkredit hatten eine höhere Chance, aktuell zu Rauchen, und eine niedrigere Chance, mehr als eine Stunde pro Woche sportlich aktiv zu sein.…”

Section: I S K U S S Ionunclassified

Sozialbedingte Ungleichheiten von Gesundheit und Gesundheitsverhalten bei Studierenden

2020

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Zusammenfassung Ziel der Studie Studierende sind in den letzten Jahren immer mehr in den Fokus von Prävention und gesundheitswissenschaftlicher Forschung gerückt. Allerdings werden sie meist als homogene Gruppe wahrgenommen. Ziel des vorliegenden Beitrags war es, zu prüfen, ob in der Gruppe Studierender gesundheitliche Ungleichheit existiert. Methodik Zur Beantwortung der Frage wurde ein bundesweiter Studierendensurvey, die sogenannte NuPhA-Studie, herangezogen (n=689, 69,5% weiblich, Altersdurchschnitt: 22,69 Jahre). Ergebnisse und Schlussfolgerung Tatsächlich zeigten sich Zusammenhänge zwischen sozioökonomischen Indikatoren und Gesundheit sowie Gesundheitsverhalten. Beispielsweise war die Studienfinanzierung über ein Stipendium mit einer besseren allgemeinen, psychischen und physischen Gesundheit verbunden. Insbesondere der subjektive Sozialstatus war positiv mit einer besseren allgemeinen, psychischen und körperlichen Gesundheit sowie einer höheren Sportaktivität verknüpft. Die Ergebnisse sprechen für ein Vorliegen von gesundheitlicher Ungleichheit in der zunächst homogen erscheinenden Gruppe Studierender. Dies unterstreicht die Notwendigkeit einer differenzierten Betrachtung der Gruppe Studierender und die Wichtigkeit, gesundheitliche Ungleichheit unter Studierenden tiefergehend zu untersuchen, zu erklären und schließlich zu reduzieren.

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“…University is a time of transition from adolescence to adulthood with drastic lifestyle changes. Students face a new, competitive and challenging environment, and experience stress due to various factors, including pressure to perform academically [ 3 ], financial problems, and the burden of autonomy [ 4 ]. Suicide is the first cause of death among young adults in Japan [ 5 ] and the second in France [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

The association between depressive symptoms and self-rated health among university students: a cross-sectional study in France and Japan

et al. 2020

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Background Depressive disorders in University students have risen dramatically in the past few decades to the extent that students’ mental health has become a current global public health priority. Obtaining information from University students about their mental health is challenging because of potential embarrassment of disclosing one’s concerns and fear of stigmatization. Self-rated health might be a good solution to evaluate mental health state by a simple and neutral indicator. The aim of the study is to investigate the association between depressive symptoms and self-rated health by sex among University students in France and Japan. Methods A cross-sectional study was conducted by using two large cohorts of students aged ≥18 years (n = 5655 in Bordeaux, France and n = 17,148 in Kyoto, Japan). Depressive symptoms (PHQ-2 scale), Likert scale of self-rated health, socio-demographic characteristics and health habits were collected through self-administered questionnaires. Multivariate logistic regression models were performed to describe the association between depressive symptoms and other variables including self-rated health, stratified by sex. Results A high score of PHQ-2 (high depressive symptoms) was associated with poor self-rated health in both cohorts independently of all other variables (OR 2.82, 95%CI 1.99–4.01 in France, OR 7.10, 95%CI 5.76–8.74 in Japan). Although the prevalence of depressive symptoms between sexes was different in French students (males 15.4%, females 25.0%, p < 0.001), it was similar in Japanese students (males 3.5%, females 3.3%, p = 0.466), who reported less depressive symptoms than French students. The association between depressive symptoms and poor self-rated health was greater in Japanese females (OR 12.40, 95%CI 7.74–20.00) than in males (OR 6.30, 95%CI 4.99–7.95), whereas the strength of the association was almost similar in French students (OR 2.17, 95%CI 0.86–5.47 in males, OR 2.98, 95%CI 2.03–4.38 in females). Conclusions Depressive symptoms were associated with self-rated health among University students in both countries with slightly differences in sex. Self-rated health would be a simple, reliable and universal indicator for healthcare professionals and University staff to identify students at risk of depression.

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Effort-reward imbalance among students at German universities: associations with self-rated health and mental health

Cited by 33 publications

References 51 publications

The Effect of Admission Year and Effort-Reward Imbalance Model on Engagement

The Effect of Admission Year and Effort-Reward Imbalance Model on Engagement

Sozialbedingte Ungleichheiten von Gesundheit und Gesundheitsverhalten bei Studierenden

The association between depressive symptoms and self-rated health among university students: a cross-sectional study in France and Japan

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