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https://www.selleckchem.com/products/ly333531.html Additional patient types were found in men of different ages. The majority of patients had at least one psychiatric disorder, particularly younger patients. CONCLUSIONS Efforts to improve patients' engagement in the MOVE! program may need to address barriers to care associated with mental health disorders or incorporate care for both obesity and mental health diagnoses in MOVE! A holistic approach may be particularly important for younger patients who have a higher comorbidity burden and longer care horizons. Future work may address if patient types found in the current study extend to non-VHA obesity treatment seekers. © The Author(s) 2020. Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.OBJECTIVE To identify factors associated with cancer-related job loss following cancer diagnosis. METHODS A multicentre cross-sectional survey was conducted among adult cancer survivors employed at the time of cancer diagnosis. Hierarchical multivariate logistic regression was used to examine the association of gender and employment type with job loss after cancer diagnosis and if the interaction between gender and employment type predicted job loss. RESULTS Of 1618 patients recruited, 1483 returned questionnaires (91.7% response rate). Data from 708 patients were eligible for analyses. Approximately 21% of patients had lost their job within 10 years of diagnosis. Patients who had undergone chemotherapy were more likely to lose their jobs than those who had not (OR = 3.24, 95% CI 2.13-4.91). Women were more likely to lose their jobs than men (OR = 2.58, 95% CI 1.48-4.50). Temporary employees were more likely to lose their jobs than regular employees (OR = 2.62, 95% CI 1.72-3.99). After controlling for demographic and clinical characteristics, no interaction effects between gender and employme

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