Background: Mental disorders are common amongst patients in primary care. There are no published studies on the prevalence of mental disorders in primary care patients in Latvia. The purpose of the study was to evaluate the current prevalence of mental disorders in the nationwide Latvian primary care population and to study possible associated factors and comorbidity of mental disorders. Methods: A cross-sectional study within the framework of the National Research Program BIOMEDICINE 2014-2017 was performed at 24 primary care settings across Latvia. Adult patients seen over a 1-week time period at each facility were invited to participate in the study. Sociodemographic variables (age, sex, education, employment and marital status, place of residence, and ethnicity) were assessed onsite. A Mini-International Neuropsychiatric Interview assessment was conducted over the telephone within 2 weeks after the visit to the general practitioner (GP). Results: Overall, 1485 individuals completed the interview. The current prevalence of any mental disorder was 37.2% and was significantly greater in women. Mood disorders (18.4%), suicidality (18.6%) and anxiety disorders (15.8%) were the most frequent diagnostic categories. The current prevalence of any mood disorder was associated with being 50-64 years of age, female sex, economically inactive status, divorced or widowed marital status and urban place of residence, whilst any current anxiety disorder was associated with female sex, lower education, and single marital status; however, being of Russian ethnicity and residing in a small city were protective factors. Suicidality was associated with female sex, lower education, unemployment or economically inactive status, being divorced or widowed and residing in a small city. The comorbidity rates between mental disorders varied from 2.9 to 53.3%. Conclusions: High prevalence rates of mental disorders, comorbidity and certain associated socio-demographic factors were found in primary care settings in Latvia. This highlights the importance of screening for depression and anxiety disorders and suicidal risk assessment by GPs. The results are fundamentally important for integrative medicine, monitoring and promotion of mental healthcare at the primary care level, as well as for healthcare policy and development of strategic plans in Latvia.
BackgroundAnxiety disorders are the most prevalent mental disorders in the world and have an important impact on the global burden of disease. Generalized anxiety disorder (GAD) is the most prevalent anxiety disorder encountered in primary care. There are no available validated anxiety screening tools in primary care in Latvia. We aimed to validate both a seven-item and a two-item generalized anxiety disorder scale (GAD-7 and GAD-2) in the Latvian and Russian languages, to detect generalized anxiety disorder (GAD) in primary care settings in Latvia.MethodsDuring a 1-week period, all patients aged 18 years or older visiting their GP (general practitioners) with any health concern at 24 primary care settings throughout Latvia were invited to complete the GAD-7 in their native language (Latvian or Russian). Criterion validity was assessed against the Mini International Neuropsychiatric Interview (MINI).ResultsThe study sample included 1,459 participants who completed the GAD-7 and the MINI. The GAD-7 items showed good internal reliability [Cronbach's alpha 0.87 for Latvian version and 0.85 for Russian version (for Latvia) of the GAD-7]. A cut-off score for detecting GAD of 5 or above was estimated for Latvian version of the GAD-7 (sensitivity 75.4%, specificity 68.9%, respectively) and 7 or above for Russian version of the GAD-7 (sensitivity 73.3%, specificity 84.1%, respectively). The internal reliability of the GAD-2 was lower for both languages (Cronbach's alpha 0.75 for Latvian version and 0.68 for Russian version of the GAD-2). A cut-off score of 2 or above was established for both the Latvian, and Russian versions of the GAD-2 (sensitivity 78.9 and 83.3%; specificity 63.7 and 69.1% for the Latvian and Russian versions of the GAD-2, accordingly) for detecting GAD.ConclusionsThis is the first study to report criterion validity of the Latvian and Russian (for Latvia) versions of the GAD-7 and GAD-2, assessed in a nationwide study conducted at the primary care level.
Background and Objectives: Physical and mental conditions are important risk factors for suicidality. However, there is no clear understanding of these relationships and the effect of co-occurrence on suicidality. We aimed to investigate the associations between current suicidality and mental disorders, physical conditions, and health-related factors in the nationwide primary care population in Latvia. Materials and Methods: A cross-sectional study was performed within the framework of the National Research Program BIOMEDICINE 2014–2017 at 24 primary care settings across Latvia in 2015. Adult patients were evaluated over one week at each facility. Socio-demographic variables, physical condition, and health-related factors were assessed on-site by trained psychiatrists. Mental disorders and suicidality were determined using the Mini International Neuropsychiatric Interview, and assessments were conducted over the telephone within two weeks after the visit to the general practitioner. Results: Of the 1485 cases, 18.6% reported suicidality. Only current depression, any anxiety disorder, any alcohol use disorder, and physical-mental multimorbidity were significantly associated with suicidality in the multivariate logistic regression analysis. Gastrointestinal diseases were associated with current depression alone (odds ratio (OR) 10.36; 95% confidence interval (CI) 2.34–45.76) and comorbid depression with any anxiety disorder (OR 7.55; 95% CI 2.15–26.49) among persons with current suicidality. Conclusions: Screening for depression, anxiety, and alcohol use disorders regularly among patients with physical illness may be important to help recognise suicidality in primary care that could improve the quality of life of patients and prevent suicides.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primarily affects the respiratory tract, but sometimes also other organs, including the central nervous system (CNS). It is not well understood how the virus affects the CNS and how frequently it happens. Our review provides insight into the occurrence of mental disorders in Corona Virus Disease 2019 (COVID-19) patients. We also collected information about the biological basis of the susceptibility of brain cells to SARS-CoV-2 and its implication to psychiatric manifestations. We included 24 publications in our review, reporting psychiatric manifestations published between 31 December 2019 and 30 July 2020, using the Preferred Reporting Items for Systemic Review and Meta-Analysis statement. Mental disorders occurred in up to one-fifth of patients during the acute phase of the infection. The most common disorders included anxiety-related disorders, mood-spectrum disorders, impaired consciousness, confusion, delirium and psychosis. The onset of psychiatric manifestations is not always preceded by respiratory symptoms, but occurs initially in COVID-19 patients. Long-term manifestations are mainly depression and post-traumatic stress symptoms. The obtained data allow the statement that direct infection of the CNS by SARS-CoV-2 could be responsible for the observed findings. To further investigate long-term psychiatric manifestations, randomised controlled studies must be initiated.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.