Ariadna Mas, Derek Clougher, Gerard Anmella, Clàudia Valenzuela-Pascual, Michele De Prisco, Vincenzo Oliva, Giovanna Fico, Iria Grande, Ivette Morilla, Xavier Segú, Mireia Primé-Tous, Victoria Ruíz, María Antonieta Also, Sandra Murgui, Elisenda Sant, Mireia Sans-Corrales, Miquel Àngel Fullana, Antoni Sisó-Almirall, Joaquim Radua, Jordi Blanch, Myriam Cavero, Eduard Vieta, Diego Hidalgo-Mazzei
{"title":"加泰罗尼亚初级保健心理健康诊断趋势及相关因素（2010-2019）","authors":"Ariadna Mas, Derek Clougher, Gerard Anmella, Clàudia Valenzuela-Pascual, Michele De Prisco, Vincenzo Oliva, Giovanna Fico, Iria Grande, Ivette Morilla, Xavier Segú, Mireia Primé-Tous, Victoria Ruíz, María Antonieta Also, Sandra Murgui, Elisenda Sant, Mireia Sans-Corrales, Miquel Àngel Fullana, Antoni Sisó-Almirall, Joaquim Radua, Jordi Blanch, Myriam Cavero, Eduard Vieta, Diego Hidalgo-Mazzei","doi":"10.1192/j.eurpsy.2024.1793","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The prevalence of mental health disorders has significantly increased in recent years, posing substantial challenges to healthcare systems worldwide, particularly primary care (PC) settings. This study examines trends in mental health diagnoses in PC settings in Catalonia from 2010 to 2019 and identifies associated sociodemographic, clinical characteristics, psychopharmacological treatments, and resource utilization patterns.</p><p><strong>Methods: </strong>Data from 947,698 individuals without prior severe mental illness, derived from the Data Analytics Program for Health Research and Innovation (PADRIS), were analyzed for this study. Sociodemographic data, diagnoses, and resource utilization were extracted from electronic health records. Descriptive statistics, chi-square tests, Mann-Whitney tests, and a multivariate binary logistic regression were employed to analyze the data.</p><p><strong>Results: </strong>Over the study period, 172,112 individuals (18.2%) received at least one mental health diagnosis in PC, with unspecified anxiety disorder (40.5%), insomnia (15.7%) and unspecified depressive disorder (10.2%) being the most prevalent. The prevalence of these diagnoses increased steadily until 2015 and stabilized thereafter. Significant associations were found between mental health diagnoses, female sex, lower socioeconomic status, higher BMI, and smoking status in a multivariate binary logistic regression.</p><p><strong>Conclusions: </strong>This study highlights a growing burden of stress-related mental health diagnoses in PC in Catalonia, driven by demographic and socioeconomic factors. These findings may be indicative of broader trends across Europe and globally. Addressing this rising prevalence requires innovative approaches and collaborative strategies that extend beyond traditional healthcare resources. Engaging stakeholders is essential for implementing effective, sustainable solutions that promote mental health in Catalonia and potentially inform similar initiatives worldwide.</p>","PeriodicalId":12155,"journal":{"name":"European Psychiatry","volume":"67 1","pages":"e81"},"PeriodicalIF":7.2000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733616/pdf/","citationCount":"0","resultStr":"{\"title\":\"Trends and associated factors of mental health diagnoses in Catalan Primary Care (2010-2019).\",\"authors\":\"Ariadna Mas, Derek Clougher, Gerard Anmella, Clàudia Valenzuela-Pascual, Michele De Prisco, Vincenzo Oliva, Giovanna Fico, Iria Grande, Ivette Morilla, Xavier Segú, Mireia Primé-Tous, Victoria Ruíz, María Antonieta Also, Sandra Murgui, Elisenda Sant, Mireia Sans-Corrales, Miquel Àngel Fullana, Antoni Sisó-Almirall, Joaquim Radua, Jordi Blanch, Myriam Cavero, Eduard Vieta, Diego Hidalgo-Mazzei\",\"doi\":\"10.1192/j.eurpsy.2024.1793\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The prevalence of mental health disorders has significantly increased in recent years, posing substantial challenges to healthcare systems worldwide, particularly primary care (PC) settings. This study examines trends in mental health diagnoses in PC settings in Catalonia from 2010 to 2019 and identifies associated sociodemographic, clinical characteristics, psychopharmacological treatments, and resource utilization patterns.</p><p><strong>Methods: </strong>Data from 947,698 individuals without prior severe mental illness, derived from the Data Analytics Program for Health Research and Innovation (PADRIS), were analyzed for this study. Sociodemographic data, diagnoses, and resource utilization were extracted from electronic health records. Descriptive statistics, chi-square tests, Mann-Whitney tests, and a multivariate binary logistic regression were employed to analyze the data.</p><p><strong>Results: </strong>Over the study period, 172,112 individuals (18.2%) received at least one mental health diagnosis in PC, with unspecified anxiety disorder (40.5%), insomnia (15.7%) and unspecified depressive disorder (10.2%) being the most prevalent. The prevalence of these diagnoses increased steadily until 2015 and stabilized thereafter. Significant associations were found between mental health diagnoses, female sex, lower socioeconomic status, higher BMI, and smoking status in a multivariate binary logistic regression.</p><p><strong>Conclusions: </strong>This study highlights a growing burden of stress-related mental health diagnoses in PC in Catalonia, driven by demographic and socioeconomic factors. These findings may be indicative of broader trends across Europe and globally. Addressing this rising prevalence requires innovative approaches and collaborative strategies that extend beyond traditional healthcare resources. 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Trends and associated factors of mental health diagnoses in Catalan Primary Care (2010-2019).
Background: The prevalence of mental health disorders has significantly increased in recent years, posing substantial challenges to healthcare systems worldwide, particularly primary care (PC) settings. This study examines trends in mental health diagnoses in PC settings in Catalonia from 2010 to 2019 and identifies associated sociodemographic, clinical characteristics, psychopharmacological treatments, and resource utilization patterns.
Methods: Data from 947,698 individuals without prior severe mental illness, derived from the Data Analytics Program for Health Research and Innovation (PADRIS), were analyzed for this study. Sociodemographic data, diagnoses, and resource utilization were extracted from electronic health records. Descriptive statistics, chi-square tests, Mann-Whitney tests, and a multivariate binary logistic regression were employed to analyze the data.
Results: Over the study period, 172,112 individuals (18.2%) received at least one mental health diagnosis in PC, with unspecified anxiety disorder (40.5%), insomnia (15.7%) and unspecified depressive disorder (10.2%) being the most prevalent. The prevalence of these diagnoses increased steadily until 2015 and stabilized thereafter. Significant associations were found between mental health diagnoses, female sex, lower socioeconomic status, higher BMI, and smoking status in a multivariate binary logistic regression.
Conclusions: This study highlights a growing burden of stress-related mental health diagnoses in PC in Catalonia, driven by demographic and socioeconomic factors. These findings may be indicative of broader trends across Europe and globally. Addressing this rising prevalence requires innovative approaches and collaborative strategies that extend beyond traditional healthcare resources. Engaging stakeholders is essential for implementing effective, sustainable solutions that promote mental health in Catalonia and potentially inform similar initiatives worldwide.
期刊介绍：
European Psychiatry, the official journal of the European Psychiatric Association, is dedicated to sharing cutting-edge research, policy updates, and fostering dialogue among clinicians, researchers, and patient advocates in the fields of psychiatry, mental health, behavioral science, and neuroscience. This peer-reviewed, Open Access journal strives to publish the latest advancements across various mental health issues, including diagnostic and treatment breakthroughs, as well as advancements in understanding the biological foundations of mental, behavioral, and cognitive functions in both clinical and general population studies.
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