Epidemiological and Clinical Predictors of License for Health Care Due to MBD
Abstract This article aimed to check the association between clinical and epidemiological predictors of sick leave due to mental and behavioral disorders in public servants. Two databases were used: one epidemiological, with demographic and occupational data of public servants from Santa Catarina, e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidade de Brasília
2021-01-01
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| Series: | Psicologia: Teoria e Pesquisa |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-37722020000100603&tlng=pt |
| _version_ | 1798026399726960640 |
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| author | Davi Baasch Roberto Moraes Cruz Rafaela Luiza Trevisan |
| author_facet | Davi Baasch Roberto Moraes Cruz Rafaela Luiza Trevisan |
| author_sort | Davi Baasch |
| collection | DOAJ |
| description | Abstract This article aimed to check the association between clinical and epidemiological predictors of sick leave due to mental and behavioral disorders in public servants. Two databases were used: one epidemiological, with demographic and occupational data of public servants from Santa Catarina, enabling prevalence calculations for this population; one clinical, with results from three instruments in a representative sample of 822 servants. The prevalence of epidemiological variables from each sample servant has been associated with their clinical scores (obtained by the instruments), allowing comparisons between clinical and epidemiological predictions. As a result, it was found that regression models covering both clinical and epidemiological variables have explained larger parts of the outcomes’ range (reaching 60.7% of benefits granted). It is concluded, finally, that although psychology and epidemiology are distinct sciences, their remarkable contributions to health complement each other. Such articulation is rare in literature and enhances the psychological tradition of clinical studies. Therefore, it enriches the field in order to promote and protect mental health, as well as to prevent mental disorders, in work environments. |
| first_indexed | 2024-04-11T18:34:43Z |
| format | Article |
| id | doaj.art-d217ba34cfa3449697c0a3c432a279fc |
| institution | Directory Open Access Journal |
| issn | 1806-3446 |
| language | English |
| last_indexed | 2024-04-11T18:34:43Z |
| publishDate | 2021-01-01 |
| publisher | Universidade de Brasília |
| record_format | Article |
| series | Psicologia: Teoria e Pesquisa |
| spelling | doaj.art-d217ba34cfa3449697c0a3c432a279fc2022-12-22T04:09:20ZengUniversidade de BrasíliaPsicologia: Teoria e Pesquisa1806-34462021-01-013610.1590/0102.3772e3657Epidemiological and Clinical Predictors of License for Health Care Due to MBDDavi Baaschhttps://orcid.org/0000-0001-6499-0371Roberto Moraes Cruzhttps://orcid.org/0000-0003-4671-3498Rafaela Luiza Trevisanhttps://orcid.org/0000-0001-7128-7414Abstract This article aimed to check the association between clinical and epidemiological predictors of sick leave due to mental and behavioral disorders in public servants. Two databases were used: one epidemiological, with demographic and occupational data of public servants from Santa Catarina, enabling prevalence calculations for this population; one clinical, with results from three instruments in a representative sample of 822 servants. The prevalence of epidemiological variables from each sample servant has been associated with their clinical scores (obtained by the instruments), allowing comparisons between clinical and epidemiological predictions. As a result, it was found that regression models covering both clinical and epidemiological variables have explained larger parts of the outcomes’ range (reaching 60.7% of benefits granted). It is concluded, finally, that although psychology and epidemiology are distinct sciences, their remarkable contributions to health complement each other. Such articulation is rare in literature and enhances the psychological tradition of clinical studies. Therefore, it enriches the field in order to promote and protect mental health, as well as to prevent mental disorders, in work environments.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-37722020000100603&tlng=ptmental disordersprevalencemental healthregression analysispsychometrics |
| spellingShingle | Davi Baasch Roberto Moraes Cruz Rafaela Luiza Trevisan Epidemiological and Clinical Predictors of License for Health Care Due to MBD Psicologia: Teoria e Pesquisa mental disorders prevalence mental health regression analysis psychometrics |
| title | Epidemiological and Clinical Predictors of License for Health Care Due to MBD |
| title_full | Epidemiological and Clinical Predictors of License for Health Care Due to MBD |
| title_fullStr | Epidemiological and Clinical Predictors of License for Health Care Due to MBD |
| title_full_unstemmed | Epidemiological and Clinical Predictors of License for Health Care Due to MBD |
| title_short | Epidemiological and Clinical Predictors of License for Health Care Due to MBD |
| title_sort | epidemiological and clinical predictors of license for health care due to mbd |
| topic | mental disorders prevalence mental health regression analysis psychometrics |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-37722020000100603&tlng=pt |
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