Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables
Background: Schizophrenia is an enduring severe mental illness with significant morbidity and early excess mortality. Metabolic syndrome (MetS) is a construct that aids psychiatrist to understand this constellation of risk factors leading to premature mortality. The current study was carried out wit...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2020-01-01
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| Series: | Telangana Journal of Psychiatry |
| Subjects: | |
| Online Access: | http://www.tjpipstsb.org/article.asp?issn=2455-8559;year=2020;volume=6;issue=1;spage=25;epage=33;aulast=Raj;type=0 |
| _version_ | 1811313040221536256 |
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| author | Raghul Raj Fiaz Ahmed Sattar K Kiran Kumar |
| author_facet | Raghul Raj Fiaz Ahmed Sattar K Kiran Kumar |
| author_sort | Raghul Raj |
| collection | DOAJ |
| description | Background: Schizophrenia is an enduring severe mental illness with significant morbidity and early excess mortality. Metabolic syndrome (MetS) is a construct that aids psychiatrist to understand this constellation of risk factors leading to premature mortality. The current study was carried out with an aim to understand the association of metabolic syndrome in patients with schizophrenia and also to ascertain its relationship with socio-demographic & clinical variables.
Materials and Methods: A cross sectional study was undertaken in patients suffering from Schizophrenia (F20) as per International Classification of Diseases (ICD-10. A total of one-hundred patients were selected by purposive random sampling after obtaining a written informed consent. A predesigned proforma was used to obtain the information regarding the sociodemographic variables, drug intake, anthropometric values and metabolic parameters. Metabolic syndrome was diagnosed as per the International Diabetes Federation- 2006 criteria. The data obtained was analysed using statistical package for social services (SPSS 20).
Results: The association of metabolic syndrome in schizophrenia in the current study was 42%. The individual metabolic parameters were found to be higher in the MetS group than the non-MetS group (p=0.001). Majority of the schizophrenia patients with MetS were older (59.5% vs 44.8%; 31-50 years of age) and females (52.4% vs 36.2%; p=0.107) compared to those without MetS. Most of them were married (85.7% vs 56.9%; p=0.006), from urban areas (45.2% vs 19%; p=0.005), had lower educational qualification (p=0.01) in comparison to the non-MetS group. The MetS group had longer mean duration of schizophrenia (9.64±8.1 years vs 3.76±2.29 years), more hospitalizations (66.7% vs 53.4%; p=0.02) and higher medical comorbidity (diabetes-7.1% vs nil, hypertension-9.5% vs 1.7% and hypothyroidism-7.1% vs nil; p=0.006). With respect to psychotropic drugs usage; the use of Olanzapine (69% vs 46.6%; p=0.025), longer duration of treatment with Olanzapine (26.31 ± 33.9 months vs 8.98 ± 12.3; p=0.001) and Amisulpride (11.0 ± 21.68 months vs 3.48 ± 9.9; p=0.022) were significantly associated with MetS group than the group without MetS. On the contrary, the non-MetS group had more patients receiving risperidone (58.6%) than the MetS group.
Conclusion: The study shows that the association of metabolic syndrome in schizophrenia patients is significantly in higher percentage and thereby underlines the importance of early detection and treatment of both the disorders simultaneously. |
| first_indexed | 2024-04-13T10:48:17Z |
| format | Article |
| id | doaj.art-cd1b5283fb51401b80cf230404f15887 |
| institution | Directory Open Access Journal |
| issn | 2455-8559 |
| language | English |
| last_indexed | 2024-04-13T10:48:17Z |
| publishDate | 2020-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
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| series | Telangana Journal of Psychiatry |
| spelling | doaj.art-cd1b5283fb51401b80cf230404f158872022-12-22T02:49:45ZengWolters Kluwer Medknow PublicationsTelangana Journal of Psychiatry2455-85592020-01-0161253310.18231/j.tjp.2020.007Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variablesRaghul RajFiaz Ahmed SattarK Kiran KumarBackground: Schizophrenia is an enduring severe mental illness with significant morbidity and early excess mortality. Metabolic syndrome (MetS) is a construct that aids psychiatrist to understand this constellation of risk factors leading to premature mortality. The current study was carried out with an aim to understand the association of metabolic syndrome in patients with schizophrenia and also to ascertain its relationship with socio-demographic & clinical variables. Materials and Methods: A cross sectional study was undertaken in patients suffering from Schizophrenia (F20) as per International Classification of Diseases (ICD-10. A total of one-hundred patients were selected by purposive random sampling after obtaining a written informed consent. A predesigned proforma was used to obtain the information regarding the sociodemographic variables, drug intake, anthropometric values and metabolic parameters. Metabolic syndrome was diagnosed as per the International Diabetes Federation- 2006 criteria. The data obtained was analysed using statistical package for social services (SPSS 20). Results: The association of metabolic syndrome in schizophrenia in the current study was 42%. The individual metabolic parameters were found to be higher in the MetS group than the non-MetS group (p=0.001). Majority of the schizophrenia patients with MetS were older (59.5% vs 44.8%; 31-50 years of age) and females (52.4% vs 36.2%; p=0.107) compared to those without MetS. Most of them were married (85.7% vs 56.9%; p=0.006), from urban areas (45.2% vs 19%; p=0.005), had lower educational qualification (p=0.01) in comparison to the non-MetS group. The MetS group had longer mean duration of schizophrenia (9.64±8.1 years vs 3.76±2.29 years), more hospitalizations (66.7% vs 53.4%; p=0.02) and higher medical comorbidity (diabetes-7.1% vs nil, hypertension-9.5% vs 1.7% and hypothyroidism-7.1% vs nil; p=0.006). With respect to psychotropic drugs usage; the use of Olanzapine (69% vs 46.6%; p=0.025), longer duration of treatment with Olanzapine (26.31 ± 33.9 months vs 8.98 ± 12.3; p=0.001) and Amisulpride (11.0 ± 21.68 months vs 3.48 ± 9.9; p=0.022) were significantly associated with MetS group than the group without MetS. On the contrary, the non-MetS group had more patients receiving risperidone (58.6%) than the MetS group. Conclusion: The study shows that the association of metabolic syndrome in schizophrenia patients is significantly in higher percentage and thereby underlines the importance of early detection and treatment of both the disorders simultaneously.http://www.tjpipstsb.org/article.asp?issn=2455-8559;year=2020;volume=6;issue=1;spage=25;epage=33;aulast=Raj;type=0cardiovascular disordersmetabolic syndromeschizophreniatype 2 diabetes mellitus. |
| spellingShingle | Raghul Raj Fiaz Ahmed Sattar K Kiran Kumar Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables Telangana Journal of Psychiatry cardiovascular disorders metabolic syndrome schizophrenia type 2 diabetes mellitus. |
| title | Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables |
| title_full | Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables |
| title_fullStr | Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables |
| title_full_unstemmed | Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables |
| title_short | Metabolic syndrome in patients with Schizophrenia: Relationship with socio-demographic & clinical variables |
| title_sort | metabolic syndrome in patients with schizophrenia relationship with socio demographic clinical variables |
| topic | cardiovascular disorders metabolic syndrome schizophrenia type 2 diabetes mellitus. |
| url | http://www.tjpipstsb.org/article.asp?issn=2455-8559;year=2020;volume=6;issue=1;spage=25;epage=33;aulast=Raj;type=0 |
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