BACKGROUND: The authors investigated whether cancer patients who have comorbid mental health disorders (MD) are at greater risk of early retirement compared with those who do not have MD. METHODS: Individuals ages 18 to 55 years from a consecutive sample of patients who were admitted for inpatient oncologic treatment were interviewed using structured clinical interviews to ascertain MD. The patients were followed for 15 months, and the date of early retirement was documented. Rates of early retirement per 100 person-years (py) in patients with and without MD were compared using multivariate Poisson regression models. RESULTS: At baseline, 491 patients were interviewed, and 150 of those patients (30.6%) were diagnosed with MD. Forty-one patients began full early retirement during follow-up. In patients with MD, the incidence of early retirement was 9.3 per 100 py compared with 6.1 per 100 py in mentally healthy patients. The crude rate ratio (RR) was 1.5 (95% confidence interval [CI], 0.8-2.8). The effect of MD on early retirement was modified in part by income: in patients with low income, the adjusted RR was 11.7, whereas no effect was observed in higher income groups. Patients with depression were at greater risk of retirement when they had higher income (RR, 3.4; P = .05). The effects of anxiety (RR, 2.4; P = .05), adjustment disorders (RR, 1.7; P = .21), and alcohol dependence (RR, 1.8; P = .40) on early retirement were equal across income groups. CONCLUSIONS: Mental health conditions are risk factors for early retirement in cancer patients, although this effect differs according to the type of disorder and the patient's income level.
BACKGROUND: The authors investigated whether cancerpatients who have comorbid mental health disorders (MD) are at greater risk of early retirement compared with those who do not have MD. METHODS: Individuals ages 18 to 55 years from a consecutive sample of patients who were admitted for inpatient oncologic treatment were interviewed using structured clinical interviews to ascertain MD. The patients were followed for 15 months, and the date of early retirement was documented. Rates of early retirement per 100 person-years (py) in patients with and without MD were compared using multivariate Poisson regression models. RESULTS: At baseline, 491 patients were interviewed, and 150 of those patients (30.6%) were diagnosed with MD. Forty-one patients began full early retirement during follow-up. In patients with MD, the incidence of early retirement was 9.3 per 100 py compared with 6.1 per 100 py in mentally healthy patients. The crude rate ratio (RR) was 1.5 (95% confidence interval [CI], 0.8-2.8). The effect of MD on early retirement was modified in part by income: in patients with low income, the adjusted RR was 11.7, whereas no effect was observed in higher income groups. Patients with depression were at greater risk of retirement when they had higher income (RR, 3.4; P = .05). The effects of anxiety (RR, 2.4; P = .05), adjustment disorders (RR, 1.7; P = .21), and alcohol dependence (RR, 1.8; P = .40) on early retirement were equal across income groups. CONCLUSIONS: Mental health conditions are risk factors for early retirement in cancerpatients, although this effect differs according to the type of disorder and the patient's income level.
Authors: Susanne Singer; Julia Roick; Jürgen Meixensberger; Franziska Schiefke; Susanne Briest; Andreas Dietz; Kirsten Papsdorf; Joachim Mössner; Thomas Berg; Jens-Uwe Stolzenburg; Dietger Niederwieser; Annette Keller; Anette Kersting; Helge Danker Journal: Support Care Cancer Date: 2017-12-21 Impact factor: 3.603
Authors: N Riccetti; R Felberbaum; F Flock; T Kühn; E Leinert; L Schwentner; S Singer; K Taylor; A Wöckel; W Janni Journal: Support Care Cancer Date: 2022-05-04 Impact factor: 3.359
Authors: Alv A Dahl; Anne Gry Bentzen; Sophie D Fosså; Siri Lothe Hess; Rita Steen; Cecilie E Kiserud Journal: J Cancer Surviv Date: 2020-04-11 Impact factor: 4.442
Authors: Florie E van Beek; Lonneke M A Wijnhoven; Femke Jansen; José A E Custers; Eline J Aukema; Veerle M H Coupé; Pim Cuijpers; Marije L van der Lee; Birgit I Lissenberg-Witte; Ben Wijnen; Judith B Prins; Irma M Verdonck-de Leeuw Journal: BMC Psychol Date: 2019-12-23
Authors: F E Van Beek; L M A Wijnhoven; J A E Custers; K Holtmaat; B H De Rooij; N J E Horevoorts; E J Aukema; S Verheul; S E J Eerenstein; L Strobbe; I M Van Oort; M R Vergeer; J B Prins; I M Verdonck-de Leeuw; F Jansen Journal: Support Care Cancer Date: 2021-10-02 Impact factor: 3.603