1
|
Chen Q, Mao C, Qi L, Luo Y, Yang G, Wang L, Liu C, Zheng C, Zhang J, Fan C. Music-based therapeutic interventions for medical school students with emotional regulation and mental health: a pre-post cohort study. Front Psychol 2024; 15:1401129. [PMID: 38882516 PMCID: PMC11179727 DOI: 10.3389/fpsyg.2024.1401129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 05/14/2024] [Indexed: 06/18/2024] Open
Abstract
Purpose Depression and anxiety are prevalent mental health challenges among college students. Music therapy has shown effectiveness in addressing depressive symptoms and enhancing psychosomatic functioning. This study aimed to evaluate the effectiveness of a 4-step structured music therapy program in improving mood and reducing symptoms of depression and anxiety among medical school students. Materials and methods The self-controlled study involved 45 medical school students (21 men and 24 women) aged 18-24 years to examine the prevalence of depression and anxiety, common mental health issues among medical school students. Participants underwent psychological assessment using the Symptom Checklist-90 (SCL-90), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). An 8-week music therapy intervention, comprising four steps-sociality, interaction, music lessons, and creative expression-was administered. Results Before-intervention, 55.6% and 15.6% students were identified as suffering from depression and anxiety respectively. Post-intervention, significant reductions in psychological distress, particularly in the Global Severity Index (GSI) and Positive Symptom Total (PST) on the SCL-90 scale, were observed (P < 0.05). Male students exhibited notable improvements in various psychological symptoms compared to females. Junior grade students demonstrated greater improvements, and clinical medicine students exhibited significant enhancements in specific areas post-intervention. Conclusion The structured music therapy program showed promising results in improving mood and regulating emotions among medical school students. Music therapy holds potential as a holistic approach to address mental health challenges in this demographic.
Collapse
Affiliation(s)
- Quan Chen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chaoqin Mao
- Department of Rehabilitation, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Laihua Qi
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Luo
- Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guangyao Yang
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lei Wang
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chen Liu
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jinxiang Zhang
- Department of Emergency Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cheng Fan
- Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
2
|
Sepúlveda-Lizcano L, Arenas-Villamizar VV, Jaimes-Duarte EB, García-Pacheco H, Paredes CS, Bermúdez V, Rivera-Porras D. Metabolic Adverse Effects of Psychotropic Drug Therapy: A Systematic Review. Eur J Investig Health Psychol Educ 2023; 13:1505-1520. [PMID: 37623307 PMCID: PMC10453914 DOI: 10.3390/ejihpe13080110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 08/08/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023] Open
Abstract
This review aimed to investigate the metabolic alterations associated with psychopharmacological treatment of neuropsychiatric disorders, which can significantly impact patients' physical health and overall quality of life. The study utilized the PRISMA methodology and included cross-sectional, retrospective studies, and randomized clinical trials from reputable databases like SCOPUS, CLARIVATE, SCIENCE DIRECT, and PUBMED. Out of the 64 selected studies, various psychotropic drug classes were analyzed, including antidepressants, anticonvulsants, and antipsychotics. Among the antidepressants, such as amitriptyline, Imipramine, and clomipramine, weight gain, constipation, and cardiovascular effects were the most commonly reported metabolic adverse effects. SSRI antidepressants like Fluoxetine, Sertraline, Citalopram, Escitalopram, and Paroxetine exhibited a high prevalence of gastrointestinal and cardiac alterations. Regarding anticonvulsants, valproic acid and Fosphenytoin were associated with adverse reactions such as weight gain and disturbances in appetite and sleep patterns. As for antipsychotics, drugs like Clozapine, Olanzapine, and Risperidone were linked to weight gain, diabetes, and deterioration of the lipid profile. The findings of this review emphasize the importance of continuous monitoring for adverse effects, particularly considering that the metabolic changes caused by psychopharmacological medications may vary depending on the age of the patients. Future research should focus on conducting field studies to further expand knowledge on the metabolic effects of other commonly prescribed psychotropic drugs. Overall, the study highlights the significance of understanding and managing metabolic alterations induced by psychopharmacological treatment to enhance patient care and well-being.
Collapse
Affiliation(s)
| | | | | | - Henry García-Pacheco
- Facultad de Medicina, Departamento de Cirugía, Universidad del Zulia, Hospital General del Sur «Dr. Pedro Iturbe», Maracaibo 4002, Venezuela
- Facultad de Medicina, Escuela de Medicina, Cátedra de Fisiología, Universidad del Zulia, Maracaibo 4002, Venezuela
| | - Carlos Silva Paredes
- Facultad de Medicina, Escuela de Medicina, Cátedra de Fisiología, Universidad del Zulia, Maracaibo 4002, Venezuela
- Unidad de Cirugía para Obesidad y Metabolismo (UCOM), Maracaibo 4002, Venezuela
| | - Valmore Bermúdez
- Facultad de Ciencias de la Salud, Universidad Simón Bolívar, Barranquilla 080001, Colombia
| | - Diego Rivera-Porras
- Facultad de Ciencias Jurídicas y Sociales, Universidad Simón Bolívar, Cúcuta 540001, Colombia
| |
Collapse
|
3
|
Della Rocca F, Maremmani AGI, Bacciardi S, Pacini M, Lamanna F, Tripodi B, Miccoli M, Maremmani I. Characteristics of Stress Sensitivity in Heroin Use Disorder Patients during Their Opioid Agonist Treatment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4566. [PMID: 36901575 PMCID: PMC10002439 DOI: 10.3390/ijerph20054566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
In the present study, performed on a sample of Heroin Use Disorder (HUD) patients undergoing Opioid Agonist Treatment (OAT), we attempted to explore the relationships between stress sensitivity and heroin addiction-related clinical aspects. HUD patients' stress sensitivity was evaluated with the Heroin/PTSD-Spectrum questionnaire (H/PSTD-S). The Drug Addiction History Questionnaire (DAH-Q), the Symptomatological Check List-90 (SCL-90), and The Behavioural Covariate of Heroin Craving inventory (CRAV-HERO) were all used, as were the Deltito Subjective Wellness Scale (D-SWS), a self-report scale evaluating subjective well-being; the Cocaine Problem Severity Index (CPSI), a questionnaire determining the extent of a cocaine problem; and the Marijuana Craving Questionnaire (MC-Q), an instrument assessing craving for cannabinoids. We checked correlations between stress sensitivity and the extent of HUD clinical features and compared patients with and without problematic stress sensitivity. H/PTSD-S was positively correlated with patients' income, altered mental status, legal problems, the lifetime different treatments index, the current treatment load index, and all SCL-90 indexes and factors. Regarding subjective well-being, stress sensitivity negatively correlated with the contrast best week (last five years) index. Patients with high-stress sensitivity were females with a low income. They exhibited a more severe mental status at treatment entry, greater difficulty in working adaptation, and legal problems during treatment. Additionally, these patients showed a higher level of psychopathology, more impairment in well-being, and more risky behaviours during treatment. Stress sensitivity, as H/PTSD-S, must be considered an outcome of HUD. HUD's addiction history and clinical features are significant risk factors for H/PTSD-S. Therefore, social and behavioural impairment in HUD patients could be considered the clinical expression of the H/PTSD spectrum. In summary, the long-term outcome of HUD is not represented by drug-taking behaviours. Rather, the inability to cope with the contingent environmental conditions is the key feature of such a disorder. H/PTSD-S, therefore, should be seen as a syndrome caused by an acquired inability (increased salience) concerning regular (daily) life events.
Collapse
Affiliation(s)
- Filippo Della Rocca
- Addiction Research Methods Institute, World Federation for the Treatment of Opioid Dependence, 225 Varick Street, Suite 402, New York, NY 10014, USA
| | - Angelo G. I. Maremmani
- Addiction Research Methods Institute, World Federation for the Treatment of Opioid Dependence, 225 Varick Street, Suite 402, New York, NY 10014, USA
- Department of Psychiatry and Addictions, Section of Psychiatry, North-Western Tuscany Local Health Unit, Tuscany NHS, Versilia Zone, Via Aurelia 335, 55041 Viareggio, Italy
| | - Silvia Bacciardi
- Addiction Research Methods Institute, World Federation for the Treatment of Opioid Dependence, 225 Varick Street, Suite 402, New York, NY 10014, USA
- Department of Psychiatry and Addictions, Section of Psychiatry, North-Western Tuscany Local Health Unit, Tuscany NHS, Versilia Zone, Via Aurelia 335, 55041 Viareggio, Italy
| | - Matteo Pacini
- V.P. Dole Research Group, G. De Lisio Institute of Behavioural Sciences, Via di Pratale 3, 56121 Pisa, Italy
| | - Francesco Lamanna
- Department of Psychiatry and Addictions, Section of Addictions, North-Western Tuscany Local Health Unit, Tuscany NHS, Pisa Zone, Via delle Torri 160, 56124 Pisa, Italy
| | - Beniamino Tripodi
- Department of Mental Health and Addictions, Division of Psychiatry, ASST Crema, Via Largo Dossena 2, 26013 Crema, Italy
| | - Mario Miccoli
- Addiction Research Methods Institute, World Federation for the Treatment of Opioid Dependence, 225 Varick Street, Suite 402, New York, NY 10014, USA
- Department of Clinical and Experimental Medicine, University of Pisa, Via Roma 67, 56100 Pisa, Italy
| | - Icro Maremmani
- Addiction Research Methods Institute, World Federation for the Treatment of Opioid Dependence, 225 Varick Street, Suite 402, New York, NY 10014, USA
- V.P. Dole Research Group, G. De Lisio Institute of Behavioural Sciences, Via di Pratale 3, 56121 Pisa, Italy
- Saint Camillus International University of Health Sciences (UniCamillus), Via di Sant’Alessandro 8, 00131 Rome, Italy
| |
Collapse
|
4
|
Lister JJ, Yoon M, Nower L, Ellis JD, Ledgerwood DM. Subtypes of patients with opioid use disorder in methadone maintenance treatment: A pathways model analysis. INTERNATIONAL GAMBLING STUDIES 2022. [DOI: 10.1080/14459795.2022.2044502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Jamey J. Lister
- School of Social Work, Rutgers University, New Brunswick, NJ, United States
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
- School of Social Work, Wayne State University, Detroit, MI, United States
| | - Miyoung Yoon
- University of Michigan, School of Social Work, Ann Arbor, MI United States
- Department of Social Welfare, Pusan National University, Kumjeong-ku, Korea
| | - Lia Nower
- Center for Gambling Studies, School of Social Work, Rutgers University, New Brunswick, NJ, United States
| | - Jennifer D. Ellis
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Medicine, Baltimore, MD, United States
| | - David M. Ledgerwood
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| |
Collapse
|
5
|
Akbari M, Bahadori MH, Mohammadkhani S, Kolubinski DC, Nikčević AV, Spada MM. A discriminant analysis model of psychosocial predictors of problematic Internet use and cannabis use disorder in university students. Addict Behav Rep 2021; 14:100354. [PMID: 34141856 PMCID: PMC8186557 DOI: 10.1016/j.abrep.2021.100354] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 05/08/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022] Open
Abstract
Researchers have found similarities and differences between behavioral and drug addictions. The present study was designed to explore which of a series of psychosocial predictors of addictive behaviors could differentiate problematic Internet use (PIU) and Cannabis Use Disorder (CUD) in a sample of University students. A total of 144 participants (76 males, mean age = 23.03 years ± 2.83) were separated into three groups: those presenting with PIU (18 females, Mean age = 22.27 years), those presenting with CUD (22 female, Mean age = 22.73 years), and a control group (28 female, Mean age = 24.04 years). Participants completed the Internet Abusive Use Questionnaire (IAUQ), the Severity of Dependence Scale (SDS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Barratt Impulsiveness Scale-11 (BIS-11), the Multidimensional Distress Tolerance Scale (MDTS), the Emotion Regulation Questionnaire (ERQ), the Metacognitions Questionnaire-30 (MCQ-30), and the Repetitive Thinking Questionnaire-10 (RTQ-10). The classification analysis results showed that 68.8% of the control group, 70.8% of the PIU group, and 81.3% of the CUD group were correctly classified in their respective groups. In addition, the results of the discriminant function analysis showed that there was a significant difference between members of the PIU and CUD groups in the degree of family support (0.45), significant other (0.33), tolerance of physical discomfort (0.30), reappraisal (0.42), and cognitive confidence (0.35). The findings provide evidence that specific psychosocial predictors can discriminate PIU from CUD.
Collapse
Affiliation(s)
- Mehdi Akbari
- Department of Clinical Psychology, Faculty of Psychology and Education,
Kharazmi University, Tehran, Iran
| | - Mohammad Hossein Bahadori
- Department of Clinical Psychology, Faculty of Psychology and Education,
Kharazmi University, Tehran, Iran
| | - Shahram Mohammadkhani
- Department of Clinical Psychology, Faculty of Psychology and Education,
Kharazmi University, Tehran, Iran
| | - Daniel C. Kolubinski
- Division of Psychology, School of Applied Sciences, London South Bank
University, London, UK
| | - Ana V. Nikčević
- Department of Psychology, School of Law, Social and Behavioural Sciences,
Kingston University, Kingston-upon- Thames, UK
| | - Marcantonio M. Spada
- Division of Psychology, School of Applied Sciences, London South Bank
University, London, UK
| |
Collapse
|
6
|
Pani PP, Maremmani AGI, Pacini M, Trogu E, Gessa GL, Ruiz P, Maremmani I. Delineating the Psychic Structure of Substance Use and Addictions, from Neurobiology to Clinical Implications: Ten Years Later. J Clin Med 2020; 9:jcm9061913. [PMID: 32570932 PMCID: PMC7356689 DOI: 10.3390/jcm9061913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/12/2020] [Accepted: 06/16/2020] [Indexed: 11/16/2022] Open
Abstract
The diagnosis of substance use disorder is currently based on the presence of specifically identified behavioral symptoms. In addition, other psychiatric signs and symptoms accompany addictive behavior, contributing to the full picture of patients’ psychopathologic profile. Historically, such symptoms were confined within the framework of “comorbidity”, as comorbid psychiatric disorders or personality traits. However, an alternative unitary view of the psychopathology of addiction, inclusive of related psychiatric symptoms, has been claimed, with the support of epidemiological, neurobiological, and neuropsychological evidence. In the present article, we highlight the research advancements that strengthen this unified perspective. We then give an account of our group’s definition of a specific SCL-90-based construct of the psychopathology of addiction. Lastly, we discuss the benefits that can be expected to be acquired in the evaluation and treatment of patients with a longitudinal approach including psychological/psychiatric predisposing features, addictive behavior, and psychiatric manifestations.
Collapse
Affiliation(s)
- Pier Paolo Pani
- Social-Health Services, Azienda Tutela Salute Sardegna (Sardinia Health Trust), 09128 Cagliari, Italy;
| | - Angelo G. I. Maremmani
- Department of Psychiatry, North-Western Tuscany Local Health Unit, Tuscany NHS, Versilia Zone, 55049 Viareggio, Italy;
- Association for the Application of Neuroscientific Knowledge to Social Aims (AU-CNS), 55045 Pietrasanta, Italy
- PISA-School of Experimental and Clinical Psychiatry, 56100 Pisa, Italy
| | - Matteo Pacini
- G. De Lisio Institute of Behavioral Sciences, 56100 Pisa, Italy;
| | | | - Gian Luigi Gessa
- Emeritus of Neuropharmacology, University of Cagliari, 09124 Cagliari, Italy;
| | - Pedro Ruiz
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Icro Maremmani
- PISA-School of Experimental and Clinical Psychiatry, 56100 Pisa, Italy
- G. De Lisio Institute of Behavioral Sciences, 56100 Pisa, Italy;
- Vincent P. Dole Dual Disorder Unit, 2nd Psychiatric Unit, Santa Chiara University Hospital, University of Pisa, 56100 Pisa, Italy
- Correspondence: ; Tel.: +39-050-993045
| |
Collapse
|
7
|
Aggressive Behavior and Substance Use Disorder: The Heroin Use Disorder as a Case Study. ADDICTIVE DISORDERS & THEIR TREATMENT 2020. [DOI: 10.1097/adt.0000000000000199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
|
8
|
Mestre-Bach G, Steward T, Granero R, Fernández-Aranda F, Del Pino-Gutiérrez A, Mallorquí-Bagué N, Mena-Moreno T, Vintró-Alcaraz C, Moragas L, Aymamí N, Gómez-Peña M, Sánchez-González J, Agüera Z, Lozano-Madrid M, Menchón JM, Jiménez-Murcia S. The predictive capacity of DSM-5 symptom severity and impulsivity on response to cognitive-behavioral therapy for gambling disorder: A 2-year longitudinal study. Eur Psychiatry 2018; 55:67-73. [PMID: 30390474 DOI: 10.1016/j.eurpsy.2018.09.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 09/06/2018] [Accepted: 09/07/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND DSM-5 proposed a new operational system by using the number of fulfilled criteria as an indicator of gambling disorder severity. This method has proven to be controversial among researchers and clinicians alike, due to the lack of studies indicating whether severity, as measured by these criteria, is clinically relevant in terms of treatment outcome. Additionally, numerous studies have highlighted the associations between gambling disorder and impulsivity, though few have examined the impact of impulsivity on long-term treatment outcomes. METHODS In this study, we aimed to assess the predictive value of DSM-5 severity levels on response to cognitive-behavioral therapy (CBT) in a sample of male adults seeking treatment for gambling disorder (n = 398). Furthermore, we explored longitudinal predictors of CBT treatment response at a follow-up, considering UPPS-P impulsivity traits. RESULTS Our study failed to identify differences in treatment outcomes between patients categorized by DSM-5 severity levels. Higher baseline scores in negative urgency predicted relapse during CBT treatment, and higher levels of sensation seeking were predictive of drop-out from short-term treatment, as well as of drop-out at 24-months. CONCLUSIONS These noteworthy findings raise questions regarding the clinical utility of DSM-5 severity categories and lend support to the implementation of dimensional approaches for gambling disorder.
Collapse
Affiliation(s)
- Gemma Mestre-Bach
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Trevor Steward
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Roser Granero
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Departament de Psicobiologia i Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, C/Fortuna Edificio B, Bellaterra, Cerdanyola del Vallès, 08193 Barcelona, Spain
| | - Fernando Fernández-Aranda
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Amparo Del Pino-Gutiérrez
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Nursing Department of Mental Health, Public Health, Maternal and Child Health, Nursing School, University of Barcelona, Barcelona, Spain
| | - Núria Mallorquí-Bagué
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Teresa Mena-Moreno
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Cristina Vintró-Alcaraz
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Laura Moragas
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Neus Aymamí
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Departament de Psicologia Clínica i Psicobiologia, Facultat de Psicologia, Universitat de Barcelona, Passeig de la Vall d'Hebron, 171, 08035 Barcelona, Spain
| | - Mónica Gómez-Peña
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Jéssica Sánchez-González
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Zaida Agüera
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - María Lozano-Madrid
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - José M Menchón
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Susana Jiménez-Murcia
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, C/Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, C/Feixa Llarga s/n, Hospitalet de Llobregat, 08907 Barcelona, Spain.
| |
Collapse
|