The link between endocrine parameters, serum lithium concentrations, and cognitive functions among individuals with affective disorders at risk of suicidal behavior. A study protocol
Suicidal behavior is prevalent among individuals with mental disorders and constitutes a major global, clinical, and public health concern. It is generally accepted that the majority of persons who die by suicide are suffering from psychiatric disorders in most cases and that affective disorders mak...
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description | Suicidal behavior is prevalent among individuals with mental disorders and constitutes a major global, clinical, and public health concern. It is generally accepted that the majority of persons who die by suicide are suffering from psychiatric disorders in most cases and that affective disorders make up the single commonest group. Suicide risk is highest during the years immediately following the onset of affective disorders; therefore, identifying risk factors and successful treatment of initially non-suicidal individuals with affective disorders can prevent developing suicidal behavior, help detecting, and predict it. Clarifying risk factors for individual types of major affective disorders could enhance earlier identification of suicidal risk, support preventive interventions and improve the treatment and prognosis of individuals at risk. We have developed a study protocol with the aim to address the complex interaction of endocrine parameters, lithium trace concentrations and cognitive functions with affective disorders and risk of suicidal behavior.
A cross-sectional study will be done among individuals hospitalized after a suicidal attempt for treatment of affective disorders (group 1), hospitalized for the treatment of affective disorders without life time history of suicidal behavior (group 2), and control group individuals without life time history of mental disorders or suicidal behavior (group 3). Based on this study design we calculated the appropriate study sample size (N = 210). Venous blood samples of study participants will be collected for the evaluation of endocrine parameters, serum lithium concentrations, liver and kidney function. Data on sociodemographic factors, cognitive functions, history of mental disorders, and suicidality risk will be evaluated using validated questionnaires and instruments. Associations of endocrine parameters, serum lithium concentrations, cognitive functions, and suicidality risk will be analyzed using descriptive and inferential statistics, including linear and logistic regression. Based on this study design we calculated the appropriate study sample size (N = 210). Power analysis has shown that this sample size is appropriate for detection of significant differences between the groups.
The findings of the potential influence of the associations between serum lithium trace concentrations, endocrine parameters, and cognitive functions on suicidality risk in individuals with affective disorders may help clinic |
doi_str_mv | 10.1371/journal.pone.0311347 |
format | Article |
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A cross-sectional study will be done among individuals hospitalized after a suicidal attempt for treatment of affective disorders (group 1), hospitalized for the treatment of affective disorders without life time history of suicidal behavior (group 2), and control group individuals without life time history of mental disorders or suicidal behavior (group 3). Based on this study design we calculated the appropriate study sample size (N = 210). Venous blood samples of study participants will be collected for the evaluation of endocrine parameters, serum lithium concentrations, liver and kidney function. Data on sociodemographic factors, cognitive functions, history of mental disorders, and suicidality risk will be evaluated using validated questionnaires and instruments. Associations of endocrine parameters, serum lithium concentrations, cognitive functions, and suicidality risk will be analyzed using descriptive and inferential statistics, including linear and logistic regression. Based on this study design we calculated the appropriate study sample size (N = 210). Power analysis has shown that this sample size is appropriate for detection of significant differences between the groups.
The findings of the potential influence of the associations between serum lithium trace concentrations, endocrine parameters, and cognitive functions on suicidality risk in individuals with affective disorders may help clinicians effectively plan suicide prevention and timely implement actions for treatment.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311347</identifier><identifier>PMID: 39680516</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Affective disorders ; Analysis ; Behavior ; Biological markers ; Biology and Life Sciences ; Care and treatment ; Causes of ; Cognition - physiology ; Cognition disorders ; Cognitive ability ; Control equipment ; Cross-Sectional Studies ; Development and progression ; Diagnosis ; Emotional behavior ; Female ; Forecasts and trends ; Group dynamics ; Hormones ; Humans ; Lithium ; Lithium - blood ; Lithium - therapeutic use ; Liver diseases ; Male ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Mental disorders ; Mentally ill ; Middle Aged ; Mood Disorders - blood ; Parameter identification ; Physical Sciences ; Properties ; Public health ; Risk Factors ; Risk taking ; Social Sciences ; Statistical analysis ; Study Protocol ; Suicidal behavior ; Suicidal Ideation ; Suicide ; Suicide - psychology ; Suicide, Attempted ; Suicides & suicide attempts</subject><ispartof>PloS one, 2024-12, Vol.19 (12), p.e0311347</ispartof><rights>Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c5236-8b57bd63229557075c8a4463b039e45a573b36b8c416d60e39d7778a910d69e03</cites><orcidid>0000-0002-3361-5074 ; 0000-0002-3928-2151</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11649151/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11649151/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39680516$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Patel, Rikinkumar S.</contributor><creatorcontrib>Jakiene, Vilma</creatorcontrib><creatorcontrib>Zalsman, Gil</creatorcontrib><creatorcontrib>Burkauskas, Julius</creatorcontrib><creatorcontrib>Adomaitiene, Virginija</creatorcontrib><creatorcontrib>Zauka, Eimantas</creatorcontrib><creatorcontrib>Naginiene, Rima</creatorcontrib><creatorcontrib>Mickuviene, Narseta</creatorcontrib><creatorcontrib>Steibliene, Vesta</creatorcontrib><title>The link between endocrine parameters, serum lithium concentrations, and cognitive functions among individuals with affective disorders at risk of suicidal behavior. A study protocol</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Suicidal behavior is prevalent among individuals with mental disorders and constitutes a major global, clinical, and public health concern. It is generally accepted that the majority of persons who die by suicide are suffering from psychiatric disorders in most cases and that affective disorders make up the single commonest group. Suicide risk is highest during the years immediately following the onset of affective disorders; therefore, identifying risk factors and successful treatment of initially non-suicidal individuals with affective disorders can prevent developing suicidal behavior, help detecting, and predict it. Clarifying risk factors for individual types of major affective disorders could enhance earlier identification of suicidal risk, support preventive interventions and improve the treatment and prognosis of individuals at risk. We have developed a study protocol with the aim to address the complex interaction of endocrine parameters, lithium trace concentrations and cognitive functions with affective disorders and risk of suicidal behavior.
A cross-sectional study will be done among individuals hospitalized after a suicidal attempt for treatment of affective disorders (group 1), hospitalized for the treatment of affective disorders without life time history of suicidal behavior (group 2), and control group individuals without life time history of mental disorders or suicidal behavior (group 3). Based on this study design we calculated the appropriate study sample size (N = 210). Venous blood samples of study participants will be collected for the evaluation of endocrine parameters, serum lithium concentrations, liver and kidney function. Data on sociodemographic factors, cognitive functions, history of mental disorders, and suicidality risk will be evaluated using validated questionnaires and instruments. Associations of endocrine parameters, serum lithium concentrations, cognitive functions, and suicidality risk will be analyzed using descriptive and inferential statistics, including linear and logistic regression. Based on this study design we calculated the appropriate study sample size (N = 210). Power analysis has shown that this sample size is appropriate for detection of significant differences between the groups.
The findings of the potential influence of the associations between serum lithium trace concentrations, endocrine parameters, and cognitive functions on suicidality risk in individuals with affective disorders may help clinicians effectively plan suicide prevention and timely implement actions for treatment.</description><subject>Adult</subject><subject>Affective disorders</subject><subject>Analysis</subject><subject>Behavior</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Care and treatment</subject><subject>Causes of</subject><subject>Cognition - physiology</subject><subject>Cognition disorders</subject><subject>Cognitive ability</subject><subject>Control equipment</subject><subject>Cross-Sectional Studies</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Emotional behavior</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>Group dynamics</subject><subject>Hormones</subject><subject>Humans</subject><subject>Lithium</subject><subject>Lithium - 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A study protocol</title><author>Jakiene, Vilma ; Zalsman, Gil ; Burkauskas, Julius ; Adomaitiene, Virginija ; Zauka, Eimantas ; Naginiene, Rima ; Mickuviene, Narseta ; Steibliene, Vesta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5236-8b57bd63229557075c8a4463b039e45a573b36b8c416d60e39d7778a910d69e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Affective disorders</topic><topic>Analysis</topic><topic>Behavior</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Care and treatment</topic><topic>Causes of</topic><topic>Cognition - physiology</topic><topic>Cognition disorders</topic><topic>Cognitive ability</topic><topic>Control equipment</topic><topic>Cross-Sectional Studies</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Emotional behavior</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>Group dynamics</topic><topic>Hormones</topic><topic>Humans</topic><topic>Lithium</topic><topic>Lithium - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jakiene, Vilma</au><au>Zalsman, Gil</au><au>Burkauskas, Julius</au><au>Adomaitiene, Virginija</au><au>Zauka, Eimantas</au><au>Naginiene, Rima</au><au>Mickuviene, Narseta</au><au>Steibliene, Vesta</au><au>Patel, Rikinkumar S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The link between endocrine parameters, serum lithium concentrations, and cognitive functions among individuals with affective disorders at risk of suicidal behavior. A study protocol</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-12-16</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0311347</spage><pages>e0311347-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Suicidal behavior is prevalent among individuals with mental disorders and constitutes a major global, clinical, and public health concern. It is generally accepted that the majority of persons who die by suicide are suffering from psychiatric disorders in most cases and that affective disorders make up the single commonest group. Suicide risk is highest during the years immediately following the onset of affective disorders; therefore, identifying risk factors and successful treatment of initially non-suicidal individuals with affective disorders can prevent developing suicidal behavior, help detecting, and predict it. Clarifying risk factors for individual types of major affective disorders could enhance earlier identification of suicidal risk, support preventive interventions and improve the treatment and prognosis of individuals at risk. We have developed a study protocol with the aim to address the complex interaction of endocrine parameters, lithium trace concentrations and cognitive functions with affective disorders and risk of suicidal behavior.
A cross-sectional study will be done among individuals hospitalized after a suicidal attempt for treatment of affective disorders (group 1), hospitalized for the treatment of affective disorders without life time history of suicidal behavior (group 2), and control group individuals without life time history of mental disorders or suicidal behavior (group 3). Based on this study design we calculated the appropriate study sample size (N = 210). Venous blood samples of study participants will be collected for the evaluation of endocrine parameters, serum lithium concentrations, liver and kidney function. Data on sociodemographic factors, cognitive functions, history of mental disorders, and suicidality risk will be evaluated using validated questionnaires and instruments. Associations of endocrine parameters, serum lithium concentrations, cognitive functions, and suicidality risk will be analyzed using descriptive and inferential statistics, including linear and logistic regression. Based on this study design we calculated the appropriate study sample size (N = 210). Power analysis has shown that this sample size is appropriate for detection of significant differences between the groups.
The findings of the potential influence of the associations between serum lithium trace concentrations, endocrine parameters, and cognitive functions on suicidality risk in individuals with affective disorders may help clinicians effectively plan suicide prevention and timely implement actions for treatment.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39680516</pmid><doi>10.1371/journal.pone.0311347</doi><tpages>e0311347</tpages><orcidid>https://orcid.org/0000-0002-3361-5074</orcidid><orcidid>https://orcid.org/0000-0002-3928-2151</orcidid><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-12, Vol.19 (12), p.e0311347 |
issn | 1932-6203 1932-6203 |
language | eng |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adult Affective disorders Analysis Behavior Biological markers Biology and Life Sciences Care and treatment Causes of Cognition - physiology Cognition disorders Cognitive ability Control equipment Cross-Sectional Studies Development and progression Diagnosis Emotional behavior Female Forecasts and trends Group dynamics Hormones Humans Lithium Lithium - blood Lithium - therapeutic use Liver diseases Male Medical research Medicine and Health Sciences Medicine, Experimental Mental disorders Mentally ill Middle Aged Mood Disorders - blood Parameter identification Physical Sciences Properties Public health Risk Factors Risk taking Social Sciences Statistical analysis Study Protocol Suicidal behavior Suicidal Ideation Suicide Suicide - psychology Suicide, Attempted Suicides & suicide attempts |
title | The link between endocrine parameters, serum lithium concentrations, and cognitive functions among individuals with affective disorders at risk of suicidal behavior. A study protocol |
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