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Schuurhuizen CSEW, Braamse AMJ, Beekman ATF, et al. (2019) Screening and Stepped Care Targeting Psychological Distress in Patients With Metastatic Colorectal Cancer: The TES Cluster Randomized Trial. Journal of the National Comprehensive Cancer Network : Jnccn. 17: 911-920
Difrancesco S, Lamers F, Riese H, et al. (2019) Sleep, circadian rhythm, and physical activity patterns in depressive and anxiety disorders: A 2-week ambulatory assessment study. Depression and Anxiety
Juurlink TT, Vukadin M, Stringer B, et al. (2019) Barriers and facilitators to employment in borderline personality disorder: A qualitative study among patients, mental health practitioners and insurance physicians. Plos One. 14: e0220233
Wynchank DS, Bijlenga D, Penninx BW, et al. (2019) Delayed sleep-onset and biological age: late sleep-onset is associated with shorter telomere length. Sleep
Szabó Á, Kok AAL, Beekman ATF, et al. (2019) Longitudinal examination of emotional functioning in older adults after spousal bereavement. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
Jansen F, Lissenberg-Witte BI, Krebber AMH, et al. (2019) Stepped care targeting psychological distress in head and neck cancer and lung cancer patients: which groups specifically benefit? Secondary analyses of a randomized controlled trial. Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer
Brouwer A, van Raalte DH, Nguyen HT, et al. (2019) Effects of Light Therapy on Mood and Insulin Sensitivity in Patients With Type 2 Diabetes and Depression: Results From a Randomized Placebo-Controlled Trial. Diabetes Care
Christ C, de Waal MM, Dekker JJM, et al. (2019) Linking childhood emotional abuse and depressive symptoms: The role of emotion dysregulation and interpersonal problems. Plos One. 14: e0211882
de Heer EW, Ten Have M, van Marwijk HWJ, et al. (2018) Pain as a risk factor for suicidal ideation. A population-based longitudinal cohort study. General Hospital Psychiatry
Dinga R, Marquand AF, Veltman DJ, et al. (2018) Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach. Translational Psychiatry. 8: 241
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