Results 51 to 60 of about 2,704,449 (214)

Depressive illness in institutionalised older people in Malta [PDF]

, 2015
Depression in older persons is associated with being placed in a nursing home. Depression is linked to increased medical morbidity in nursing home residents. 150 patients living in two nursing homes in Malta were included in the study.
Fiorini, Anthony, Zammit, Paul
core  

Morphological response to a North Sea bed depression induced by gas mining [PDF]

, 2002
Gas mining leads to saucer-like surface depressions. In the North Sea, gas is currently mined at several offshore locations. The associated bed depression has a similar spatial extent as offshore tidal sandbanks, which are large-scale bed patterns ...
Allen, Caroline C. J. M. Fluit, De Vriend, Dyer, Eysink, Fluit, Houtenbos, Hulscher, Hulscher, Hulscher, Huntley, Huthnance, Knaapen, Komarova, Krol, Németh, Off, Peck, Roos, Van Alphen, Van Rijn, Zimmerman   +21 more
core   +3 more sources

Development, reach, acceptability and associated clinical changes of a group intervention to improve caregiver‐adolescent relationships in the context of adolescent depression

JCPP Advances, 2023
Background Adolescents with depression often experience relationship problems with their caregivers, which predict poorer treatment outcomes. Personalising interventions by targeting factors associated with poor treatment outcomes may enhance the ...
Madison Aitken, Ameeta Sagar, Darren Courtney, Peter Szatmari   +3 more
doaj   +1 more source

Postpartum depression and thyroid dysfunction– should pregnant women be screened for thyroid disorders? [PDF]

, 2019
The relationship between thyroid dysfunction and postpartum depression has been investigated for quite some time now, but no consensus has been reached regarding the need for screening for thyroid function during pregnancy. This paper aims to investigate
Marin, Erika, Simionescu, Anca A
core   +1 more source

Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task

Computational Psychiatry
The Probabilistic Reward Task (PRT) is widely used to investigate the impact of Major Depressive Disorder (MDD) on reinforcement learning (RL), and recent studies have used it to provide insight into decision-making mechanisms affected by MDD.
Daniel G. Dillon, Emily L. Belleau, Julianne Origlio, Madison McKee, Aava Jahan, Ashley Meyer, Min Kang Souther, Devon Brunner, Manuel Kuhn, Yuen Siang Ang, Cristina Cusin, Maurizio Fava, Diego A. Pizzagalli   +12 more
doaj   +1 more source

Therapeutic alliance in the initial phase of psychotherapy with adolescents: different perspectives and their association with therapeutic outcomes

Research in Psychotherapy, 2016
Psychotherapy research focusing on adults as well as on children and adolescents has revealed a positive association between the quality of the therapeutic alliance (TA) in the first sessions and therapeutic outcomes.
Olga María Fernandez, Mariane Krause, Janet Carola Pérez   +2 more
doaj   +1 more source

Behavior of First-Year College Students [PDF]

, 2009
This is a quantitative study of depression, self-esteem, smoking and drinking behaviors among first year college students. The study results from a sample of 170 first year undergraduate students at the University of New Hampshire.
Kashgegian, Kristin
core   +2 more sources

Coping styles associated with post-traumatic stress and depression symptoms following childbirth in croatian women [PDF]

, 2018
Childbirth is a normative event in a woman's life and is considered as a positive event. However, one in three women perceive childbirth as a physical threat to themselves or their new-born and 3% of women develop posttraumatic stress disorder (PTSD ...
Ayers, S., Burn, E., Radoš, S.N., Sawyer, A.   +3 more
core   +4 more sources

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Nature Genetics, 2017
Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified ...
N. Wray, S. Ripke, M. Mattheisen, M. Trzaskowski, Enda M. Byrne, A. Abdellaoui, Mark J Adams, E. Agerbo, T. Air, Till F. M. Andlauer, S. Bacanu, Marie Bækvad-Hansen, A. Beekman, T. Bigdeli, E. Binder, D. Blackwood, J. Bryois, H. Buttenschøn, J. Bybjerg-Grauholm, N. Cai, E. Castelao, J. Christensen, Toni‐Kim Clarke, Jonathan R. I. Coleman, L. Colodro-Conde, B. Couvy-Duchesne, N. Craddock, Gregory E. Crawford, Cheynna A. Crowley, Hassan S. Dashti, G. Davies, I. Deary, F. Degenhardt, E. Derks, N. Direk, Conor V. Dolan, Erin C. Dunn, T. Eley, N. Eriksson, V. Escott-Price, Farnush Farhadi Hassan Kiadeh, H. Finucane, A. Forstner, J. Frank, Héléna A. Gaspar, M. Gill, P. Giusti-Rodríguez, F. Goes, Scott D. Gordon, J. Grove, L. Hall, E. Hannon, C. Hansen, Thomas F. Hansen, S. Herms, Ian B. Hickie, P. Hoffmann, G. Homuth, Carsten Horn, J. Hottenga, D. Hougaard, Ming Hu, Craig L Hyde, M. Ising, R. Jansen, Fulai Jin, E. Jorgenson, J. A. Knowles, Isaac S. Kohane, J. Kraft, Warren W. Kretzschmar, J. Krogh, Z. Kutalik, J. Lane, Yihan Li, Yun Li, P. Lind, Xiaoxiao Liu, Leina Lu, D. Macintyre, D. MacKinnon, Robert M. Maier, W. Maier, J. Marchini, H. Mbarek, P. McGrath, P. McGuffin, S. Medland, D. Mehta, C. Middeldorp, E. Mihailov, Y. Milaneschi, L. Milani, J. Mill, Francis M. Mondimore, Grant W. Montgomery, S. Mostafavi, N. Mullins, M. Nauck, B. Ng, M. Nivard, D. Nyholt, Paul F. O’Reilly, H. Oskarsson, Michael J. Owen, J. Painter, C. B. Pedersen, M. Pedersen, Roseann E. Peterson, E. Pettersson, W. Peyrot, G. Pistis, D. Posthuma, Shaun Purcell, Jorge A. Quiroz, P. Qvist, John P. Rice, B. Riley, M. Rivera, Saira Saeed Mirza, R. Saxena, R. Schoevers, E. Schulte, L. Shen, Jianxin Shi, Stanley I. Shyn, E. Sigurdsson, Grant C. B. Sinnamon, Johannes H. Smit, Daniel J. Smith, H. Stefánsson, S. Steinberg, C. Stockmeier, F. Streit, J. Strohmaier, K. Tansey, H. Teismann, A. Teumer, W. Thompson, P. Thomson, T. Thorgeirsson, C. Tian, M. Traylor, J. Treutlein, V. Trubetskoy, A. Uitterlinden, D. Umbricht, S. Van der Auwera, A. V. van Hemert, A. Viktorin, P. M. Visscher, Yunpeng Wang, B. Webb, S. Weinsheimer, J. Wellmann, G. Willemsen, S. Witt, Yang Wu, H. Xi, Jian Yang, Futao Zhang, V. Arolt, Bernhard T. Baune, K. Berger, D. Boomsma, S. Cichon, U. Dannlowski, E. D. de Geus, J. DePaulo, E. Domenici, K. Domschke, T. Esko, H. Grabe, S. Hamilton, C. Hayward, A. C. Heath, D. Hinds, K. Kendler, S. Kloiber, G. Lewis, Qingqin S Li, S. Lucae, P. Madden, Patrik K. E. Magnusson, Nicholas G. Martin, Andrew M. McIntosh, A. Metspalu, O. Mors, P. Mortensen, B. Müller-Myhsok, M. Nordentoft, M. Nöthen, M. O’Donovan, S. Paciga, Nancy L Pedersen, B. Penninx, R. Perlis, D. Porteous, J. Potash, M. Preisig, M. Rietschel, C. Schaefer, Thomas G Schulze, J. Smoller, K. Stefánsson, H. Tiemeier, R. Uher, H. Völzke, Myrna M. Weissman, T. Werge, Ashley R. Winslow, C. Lewis, D. Levinson, G. Breen, A. Børglum, P. Sullivan   +215 more
semanticscholar   +1 more source

Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach [PDF]

arXiv, 2022
A fundamental component of user-level social media language based clinical depression modelling is depression symptoms detection (DSD). Unfortunately, there does not exist any DSD dataset that reflects both the clinical insights and the distribution of depression symptoms from the samples of self-disclosed depressed population. In our work, we describe
arxiv