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Dive into the research topics where Carmen Montón-Franco is active.

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Featured researches published by Carmen Montón-Franco.


Psychological Medicine | 2011

Predicting the onset of major depression in primary care: international validation of a risk prediction algorithm from Spain

Juan Ángel Bellón; J. de Dios Luna; Michael King; B. Moreno-Kuestner; Irwin Nazareth; Carmen Montón-Franco; María Josefa GildeGómez-Barragán; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Jorge A. Cervilla; Igor Švab; Heidi-Ingrid Maaroos; Miguel Xavier; Mirjam I. Geerlings; Sandra Saldivia; Blanca Gutiérrez; Emma Motrico; María Teresa Martínez-Cañavate; Bárbara Oliván-Blázquez; María Soledad Sánchez-Artiaga; Sebastià March; M. del Mar Munoz-Garcia; Ana Vázquez-Medrano; Patricia Moreno-Peral; Francisco Torres-González

BACKGROUND The different incidence rates of, and risk factors for, depression in different countries argue for the need to have a specific risk algorithm for each country or a supranational risk algorithm. We aimed to develop and validate a predictD-Spain risk algorithm (PSRA) for the onset of major depression and to compare the performance of the PSRA with the predictD-Europe risk algorithm (PERA) in Spanish primary care. METHOD A prospective cohort study with evaluations at baseline, 6 and 12 months. We measured 39 known risk factors and used multi-level logistic regression and inverse probability weighting to build the PSRA. In Spain (4574), Chile (2133) and another five European countries (5184), 11 891 non-depressed adult primary care attendees formed our at-risk population. The main outcome was DSM-IV major depression (CIDI). RESULTS Six variables were patient characteristics or past events (sex, age, sex×age interaction, education, physical child abuse, and lifetime depression) and six were current status [Short Form 12 (SF-12) physical score, SF-12 mental score, dissatisfaction with unpaid work, number of serious problems in very close persons, dissatisfaction with living together at home, and taking medication for stress, anxiety or depression]. The C-index of the PSRA was 0.82 [95% confidence interval (CI) 0.79-0.84]. The Integrated Discrimination Improvement (IDI) was 0.0558 [standard error (s.e.)=0.0071, Zexp=7.88, p<0.0001] mainly due to the increase in sensitivity. Both the IDI and calibration plots showed that the PSRA functioned better than the PERA in Spain. CONCLUSIONS The PSRA included new variables and afforded an improved performance over the PERA for predicting the onset of major depression in Spain. However, the PERA is still the best option in other European countries.


BMC Public Health | 2008

Predicting the onset and persistence of episodes of depression in primary health care. The predictD-Spain study: Methodology

Juan Ángel Bellón; Berta Moreno-Küstner; Francisco Torres-González; Carmen Montón-Franco; María Josefa GildeGómez-Barragán; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Juan de Dios Luna; Jorge A. Cervilla; Blanca Gutiérrez; María Teresa Martínez-Cañavate; Bárbara Oliván-Blázquez; Ana Vázquez-Medrano; María Soledad Sánchez-Artiaga; Sebastià March; Emma Motrico; Victor Manuel Ruiz-García; Paulette Renée Brangier-Wainberg; María del Mar Muñoz-García; Irwin Nazareth; Michael King

BackgroundThe effects of putative risk factors on the onset and/or persistence of depression remain unclear. We aim to develop comprehensive models to predict the onset and persistence of episodes of depression in primary care. Here we explain the general methodology of the predictD-Spain study and evaluate the reliability of the questionnaires used.MethodsThis is a prospective cohort study. A systematic random sample of general practice attendees aged 18 to 75 has been recruited in seven Spanish provinces. Depression is being measured with the CIDI at baseline, and at 6, 12, 24 and 36 months. A set of individual, environmental, genetic, professional and organizational risk factors are to be assessed at each follow-up point. In a separate reliability study, a proportional random sample of 401 participants completed the test-retest (251 researcher-administered and 150 self-administered) between October 2005 and February 2006. We have also checked 118,398 items for data entry from a random sample of 480 patients stratified by province.ResultsAll items and questionnaires had good test-retest reliability for both methods of administration, except for the use of recreational drugs over the previous six months. Cronbachs alphas were good and their factorial analyses coherent for the three scales evaluated (social support from family and friends, dissatisfaction with paid work, and dissatisfaction with unpaid work). There were 191 (0.16%) data entry errors.ConclusionThe items and questionnaires were reliable and data quality control was excellent. When we eventually obtain our risk index for the onset and persistence of depression, we will be able to determine the individual risk of each patient evaluated in primary health care.


Journal of Affective Disorders | 2013

Psychometric properties of the List of Threatening Experiences—LTE and its association with psychosocial factors and mental disorders according to different scoring methods

Emma Motrico; Berta Moreno-Küstner; Juan de Dios Luna; Francisco Torres-González; Michael King; Irwin Nazareth; Carmen Montón-Franco; María Josefa Gilde Gómez-Barragán; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Patricia Moreno-Peral; Juan Ángel Bellón

BACKGROUND The List of Threatening Experiences (LTE) questionnaire is frequently used to assess stressful events; however, studies of its psychometric properties are scarce. We examined the LTEs reliability, factorial structure, construct validity and explored the association between LTE scores and psychosocial variables and mental disorders. METHOD This study involved interviewing 5442 primary care attendees from Spain. Associations between four different methods of quantifying LTE scores, psychosocial factors, major depression (CIDI), anxiety disorders (PRIME-MD), alcohol misuse and dependence (AUDIT) were measured. RESULTS The LTE showed high test-retest reliability (Kappa range=0.61-0.87) and low internal consistency (α=0.44). Tetrachoric factorial analysis yielded four factors (spousal and relational problems; employment and financial problems; personal problems; illness and bereavement in close persons). Logistic multilevel regression found a strong association between greater social support and a lower occurrence of stressful events (OR range=0.36-0.79). The association between religious-spiritual beliefs and the LTE, was weaker. The association between mental disorders and LTE scores was greater for depression (OR range=1.64-2.57) than anxiety (OR range=1.35-1.97), though the highest ORs were obtained with alcohol dependence (OR range=2.86-4.80). The ordinal score (ordinal regression) was more sensitive to detect the strength of association with mental disorders. LIMITATIONS We are unable to distinguish the direction of the association between stressful events, psychosocial factors and mental disorders, due to our cross-sectional design of the study. CONCLUSIONS The LTE is a valid and reliable measure of stress in mental health, and the strength of association with mental disorders depends on the method of quantifying LTE scores.


Journal of Epidemiology and Community Health | 2010

Psychosocial and sociodemographic predictors of attrition in a longitudinal study of major depression in primary care: The predictD-Spain study

Juan Ángel Bellón; Juan de Dios Luna; Berta Moreno; Carmen Montón-Franco; María Josefa GildeGómez-Barragán; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Emma Motrico; María Teresa Martínez-Cañavate; Bárbara Oliván-Blázquez; Ana Vázquez-Medrano; María Soledad Sánchez-Artiaga; Sebastià March; María del Mar Muñoz-García; Patricia Moreno-Peral; Irwin Nazareth; Michael King; Francisco Torres-González

Background Few data exist on the psychosocial factors associated with attrition in longitudinal surveys. This study was undertaken to determine psychosocial and sociodemographic predictors of attrition from a longitudinal study of the onset and persistence of episodes of major depression in primary care. Methods A systematic random sample of general practice attendees was recruited in seven Spanish provinces between October 2005 and February 2006. Major depression was diagnosed using the Composite International Diagnostic Interview and a set of 39 individual and environmental risk factors for depression were assessed at baseline and after 6 and 12 months of follow-up. Data were analysed using multilevel logistic regression. Results 7777 primary care attendees aged 18–75 years were selected, of whom 1251 (16.1%) were excluded. Of the remaining 6526, 1084 (16.6%) refused to participate. Thus, 5442 patients (attending 231 family physicians in 41 health centres) were interviewed at baseline, of whom 3804 (70%) and 3567 (66%) remained at 6 and 12 months of follow-up, respectively. The province and sociodemographic factors were stronger predictors of attrition than psychosocial factors. Depression and anxiety had no effect but other psychosocial factors affected attrition. There were different profiles for the patients lost at 12 months when predictors measured at baseline versus 6 months were included. Conclusions These findings suggest that several psychosocial factors might be considered factors of attrition in primary care cohorts and confirm that baseline characteristics are insufficient for analysing non-response in longitudinal studies, indicating that different retention strategies should be applied for patients interviewed at 6 and 12 months.


PLOS ONE | 2014

Patients’ Opinions about Knowing Their Risk for Depression and What to Do about It. The PredictD-Qualitative Study

Juan Ángel Bellón; Patricia Moreno-Peral; Berta Moreno-Küstner; Emma Motrico; José María Aiarzaguena; Anna Fernández; Carmen Fernández-Alonso; Carmen Montón-Franco; Antonina Rodríguez-Bayón; María Isabel Ballesta-Rodríguez; Ariadne Rüntel-Geidel; Janire Payo-Gordón; Antoni Serrano-Blanco; Bárbara Oliván-Blázquez; Luz Araujo; María del Mar Muñoz-García; Michael King; Irwin Nazareth; Manuel Amezcua

Background The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. Results The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a “patient-centred” approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed. Conclusions Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression.


European Psychiatry | 2010

FC01-01 - Does stress-related major depression differ from non-stress related major depression in primary care? Results from the PredictD-Spain study

Emma Motrico; B. Moreno; Juan Ángel Bellón; Carmen Montón-Franco; M. Sánchez-Celaya; C. Vicens; M.S. Sánchez-Artiaga; María del Mar Muñoz-García

Introduction Research has consistently documented the significance of severe life events for the onset and course of major depression. However, no research has been done on whether social and clinical characteristics differ in depressed primary care attendees who have experienced stressful life events compared to those who have not. Objectives We investigated whether social and clinical characteristics differ in depressed primary care attendees who have experienced stressful life events compared to depressed primary care attendees who have not. Methods We undertook a prospective cohort study involving 5,442 consecutive primary care attendees with evaluations at baseline and at 6 months. Patients aged 18-75 years were recruited in six Spanish provinces between October 2005 and February 2006. The incidence of major depression was assessed at 6 months with the Depression Section of the Composite International Diagnostic Interview (CIDI). Stressful life events were measured with the List of Threatening Experiences (LTE). Results 3,804 (70%) were interviewed at 6 months of follow-up. Among 200 attendees with a first episode of major depression, 24.5% had experienced no stressful life events, 30.5% had suffered one, 20.5% had experienced two and 24% had suffered three or more in the 6 months prior to the onset of depression. Depressed primary care attendees who had experienced three or more stressful life events differed from depressed patients with no stressful life events in the following variables: economic difficulties, dissatisfaction with unpaid work, relational variables, psychiatric co-morbidity and family history. Conclusions Stress-related major depression differs from non-stress-related depression in primary care.


Journal of Psychiatry & Neuroscience | 2015

The risk for major depression conferred by childhood maltreatment is multiplied by BDNF and SERT genetic vulnerability: a replication study

Blanca Gutiérrez; Juan Ángel Bellón; Margarita Rivera; Esther Molina; Michael King; Louise Marston; Francisco Torres-González; Berta Moreno-Küstner; Patricia Moreno-Peral; Emma Motrico; Carmen Montón-Franco; María Josefa GildeGómez-Barragán; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Juan de Dios Luna; Irwin Nazareth; Jorge A. Cervilla


BMC Psychiatry | 2013

Preventing the onset of major depression based on the level and profile of risk of primary care attendees: protocol of a cluster randomised trial (the predictD-CCRT study)

Juan Ángel Bellón; Sonia Conejo-Cerón; Patricia Moreno-Peral; Michael King; Irwin Nazareth; Carlos Martín-Pérez; Carmen Fernández-Alonso; María Isabel Ballesta-Rodríguez; Anna Fernández; José María Aiarzaguena; Carmen Montón-Franco; Inmaculada Ibanez-Casas; Emiliano Rodríguez-Sánchez; Antonina Rodríguez-Bayón; Antoni Serrano-Blanco; María Cruz Gómez; Pilar LaFuente; María del Mar Muñoz-García; Pilar Mínguez-Gonzalo; Luz Araujo; Diego Palao; Maite Espinosa-Cifuentes; Fernando Zubiaga; Desirée Navas-Campaña; Juan M. Mendive; José Manuel Aranda-Regules; Alberto Rodríguez-Morejón; Luis Salvador-Carulla; Juan de Dios Luna


Annals of Internal Medicine | 2016

Intervention to Prevent Major Depression in Primary Care: A Cluster Randomized Trial

Juan Ángel Bellón; Sonia Conejo-Cerón; Patricia Moreno-Peral; Michael King; Irwin Nazareth; Carlos Martín-Pérez; Carmen Fernández-Alonso; Antonina Rodríguez-Bayón; Anna Fernández; José María Aiarzaguena; Carmen Montón-Franco; Inmaculada Ibanez-Casas; Emiliano Rodríguez-Sánchez; María Isabel Ballesta-Rodríguez; Antoni Serrano-Blanco; María Cruz Gómez; Pilar LaFuente; María del Mar Muñoz-García; Pilar Mínguez-Gonzalo; Luz Araujo; Diego Palao; Paola Bully; Fernando Zubiaga; Desirée Navas-Campaña; Juan M. Mendive; José Manuel Aranda-Regules; Alberto Rodríguez-Morejón; Luis Salvador-Carulla; Juan de Dios Luna


PLOS ONE | 2014

Predicting the onset of anxiety syndromes at 12 months in primary care attendees. The predictA-Spain study.

Patricia Moreno-Peral; Juan de Dios Luna; Louise Marston; Michael King; Irwin Nazareth; Emma Motrico; María Josefa GildeGómez-Barragán; Francisco Torres-González; Carmen Montón-Franco; Marta Sánchez-Celaya; Miguel Ángel Díaz-Barreiros; Catalina Vicens; Carlos Muñoz-Bravo; Juan Ángel Bellón

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Irwin Nazareth

University College London

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Michael King

University College London

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Emma Motrico

Loyola University Chicago

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