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Risk of Diabetes in Cameroonian Patients with Psychosis and Under Antipsychotic Therapy: A Cross-Sectional Study

Received: 13 October 2020    Accepted: 23 December 2020    Published: 31 December 2020
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Abstract

Background: Diabetes is a public health problem worldwide and in sub-Saharan African countries such as Cameroon. According to many studies, the use of antipsychotic drugs increases the risk of developing diabetes mellitus by 2 to 3 times more in people with psychotic disorders than in the general population. The present study aimed to assess the influence of antipsychotic drugs used on the risk of developing diabetes and to identify other factors predictive of abnormal blood glucose levels in patients suffering from psychosis. Methods: A cross-sectional study was conducted from the 3rd to the 19th of January 2018. Patients aged at least 18 years old suffering from psychosis and undiagnosed as diabetic before initiation of antipsychotic treatment were recruited at the Jamot Hospital in Yaoundé. A questionnaire was used to collect sociodemographic, anthropometric, and clinical data. The Chi-Square test was used to assess the relationship between hyperglycemia and categorical variables and the multivariate logistic regression model was used to determine independent predictors of hyperglycemia through the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: A total of 82 patients were included in the study (41 males and 41 females). The fasting blood sugar ≥100 mg/dL appeared to be higher but not significant in patients on atypical antipsychotic therapy (124.74±23.31mg/dL) compared to patients on typical antipsychotic therapy (115.74±18.63 mg/dL); with a positive and non-significant correlation between hyperglycemia and duration of treatment (r=0.215; p=0.053). However, in both typical and atypical antipsychotic patients, fasting glucose sugar levels between 110-125mg/dL were observed at the same level (118.07±4.84 mg/dL and 118.09±3.41mg/dL respectively). Male sex (OR=1.41; 95% CI 0.54-3.64), age group < 35 years (OR=1.84; 95% CI 0.69-4.88), single (OR=2.18; 95% CI 0.83-5.67), typical antipsychotic drugs (OR=1.12; 95% CI 0.42-3.01), schizophrenia (OR=1.80; 95% CI 0.25-12.84) and bipolar disorder (OR=1.50; 95% CI 0.14-15.46) were independent predictors of hyperglycemia in those patients. Conclusion: Regular monitoring of anthropometric and clinical parameters should be assigned to people suffering from psychotic disorders and under treatment. Therefore, they should benefit from good management of the risk factors for diabetes to prevent the onset of the disease and avoid increased morbidity and mortality in this vulnerable population.

Published in Central African Journal of Public Health (Volume 6, Issue 6)
DOI 10.11648/j.cajph.20200606.18
Page(s) 365-371
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Risk Factors, Diabetes, Psychosis, Antipsychotic, Duration of Treatment

References
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Cite This Article
  • APA Style

    Hermine Raissa Hell, Maxwell Nguedjo Wandji, Celine Sylvie Mimboe Bilongo, Ruth Edwige Dibacto Kemadjou, Boris Ronald Tchuente Tonou, et al. (2020). Risk of Diabetes in Cameroonian Patients with Psychosis and Under Antipsychotic Therapy: A Cross-Sectional Study. Central African Journal of Public Health, 6(6), 365-371. https://doi.org/10.11648/j.cajph.20200606.18

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    ACS Style

    Hermine Raissa Hell; Maxwell Nguedjo Wandji; Celine Sylvie Mimboe Bilongo; Ruth Edwige Dibacto Kemadjou; Boris Ronald Tchuente Tonou, et al. Risk of Diabetes in Cameroonian Patients with Psychosis and Under Antipsychotic Therapy: A Cross-Sectional Study. Cent. Afr. J. Public Health 2020, 6(6), 365-371. doi: 10.11648/j.cajph.20200606.18

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    AMA Style

    Hermine Raissa Hell, Maxwell Nguedjo Wandji, Celine Sylvie Mimboe Bilongo, Ruth Edwige Dibacto Kemadjou, Boris Ronald Tchuente Tonou, et al. Risk of Diabetes in Cameroonian Patients with Psychosis and Under Antipsychotic Therapy: A Cross-Sectional Study. Cent Afr J Public Health. 2020;6(6):365-371. doi: 10.11648/j.cajph.20200606.18

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  • @article{10.11648/j.cajph.20200606.18,
      author = {Hermine Raissa Hell and Maxwell Nguedjo Wandji and Celine Sylvie Mimboe Bilongo and Ruth Edwige Dibacto Kemadjou and Boris Ronald Tchuente Tonou and Therese Henriette Dimodi and Gabriel Medoua Nama and Olga Yvonne Mankollo Bassong},
      title = {Risk of Diabetes in Cameroonian Patients with Psychosis and Under Antipsychotic Therapy: A Cross-Sectional Study},
      journal = {Central African Journal of Public Health},
      volume = {6},
      number = {6},
      pages = {365-371},
      doi = {10.11648/j.cajph.20200606.18},
      url = {https://doi.org/10.11648/j.cajph.20200606.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20200606.18},
      abstract = {Background: Diabetes is a public health problem worldwide and in sub-Saharan African countries such as Cameroon. According to many studies, the use of antipsychotic drugs increases the risk of developing diabetes mellitus by 2 to 3 times more in people with psychotic disorders than in the general population. The present study aimed to assess the influence of antipsychotic drugs used on the risk of developing diabetes and to identify other factors predictive of abnormal blood glucose levels in patients suffering from psychosis. Methods: A cross-sectional study was conducted from the 3rd to the 19th of January 2018. Patients aged at least 18 years old suffering from psychosis and undiagnosed as diabetic before initiation of antipsychotic treatment were recruited at the Jamot Hospital in Yaoundé. A questionnaire was used to collect sociodemographic, anthropometric, and clinical data. The Chi-Square test was used to assess the relationship between hyperglycemia and categorical variables and the multivariate logistic regression model was used to determine independent predictors of hyperglycemia through the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: A total of 82 patients were included in the study (41 males and 41 females). The fasting blood sugar ≥100 mg/dL appeared to be higher but not significant in patients on atypical antipsychotic therapy (124.74±23.31mg/dL) compared to patients on typical antipsychotic therapy (115.74±18.63 mg/dL); with a positive and non-significant correlation between hyperglycemia and duration of treatment (r=0.215; p=0.053). However, in both typical and atypical antipsychotic patients, fasting glucose sugar levels between 110-125mg/dL were observed at the same level (118.07±4.84 mg/dL and 118.09±3.41mg/dL respectively). Male sex (OR=1.41; 95% CI 0.54-3.64), age group < 35 years (OR=1.84; 95% CI 0.69-4.88), single (OR=2.18; 95% CI 0.83-5.67), typical antipsychotic drugs (OR=1.12; 95% CI 0.42-3.01), schizophrenia (OR=1.80; 95% CI 0.25-12.84) and bipolar disorder (OR=1.50; 95% CI 0.14-15.46) were independent predictors of hyperglycemia in those patients. Conclusion: Regular monitoring of anthropometric and clinical parameters should be assigned to people suffering from psychotic disorders and under treatment. Therefore, they should benefit from good management of the risk factors for diabetes to prevent the onset of the disease and avoid increased morbidity and mortality in this vulnerable population.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Risk of Diabetes in Cameroonian Patients with Psychosis and Under Antipsychotic Therapy: A Cross-Sectional Study
    AU  - Hermine Raissa Hell
    AU  - Maxwell Nguedjo Wandji
    AU  - Celine Sylvie Mimboe Bilongo
    AU  - Ruth Edwige Dibacto Kemadjou
    AU  - Boris Ronald Tchuente Tonou
    AU  - Therese Henriette Dimodi
    AU  - Gabriel Medoua Nama
    AU  - Olga Yvonne Mankollo Bassong
    Y1  - 2020/12/31
    PY  - 2020
    N1  - https://doi.org/10.11648/j.cajph.20200606.18
    DO  - 10.11648/j.cajph.20200606.18
    T2  - Central African Journal of Public Health
    JF  - Central African Journal of Public Health
    JO  - Central African Journal of Public Health
    SP  - 365
    EP  - 371
    PB  - Science Publishing Group
    SN  - 2575-5781
    UR  - https://doi.org/10.11648/j.cajph.20200606.18
    AB  - Background: Diabetes is a public health problem worldwide and in sub-Saharan African countries such as Cameroon. According to many studies, the use of antipsychotic drugs increases the risk of developing diabetes mellitus by 2 to 3 times more in people with psychotic disorders than in the general population. The present study aimed to assess the influence of antipsychotic drugs used on the risk of developing diabetes and to identify other factors predictive of abnormal blood glucose levels in patients suffering from psychosis. Methods: A cross-sectional study was conducted from the 3rd to the 19th of January 2018. Patients aged at least 18 years old suffering from psychosis and undiagnosed as diabetic before initiation of antipsychotic treatment were recruited at the Jamot Hospital in Yaoundé. A questionnaire was used to collect sociodemographic, anthropometric, and clinical data. The Chi-Square test was used to assess the relationship between hyperglycemia and categorical variables and the multivariate logistic regression model was used to determine independent predictors of hyperglycemia through the Statistical Package for the Social Sciences (SPSS) version 20.0. Results: A total of 82 patients were included in the study (41 males and 41 females). The fasting blood sugar ≥100 mg/dL appeared to be higher but not significant in patients on atypical antipsychotic therapy (124.74±23.31mg/dL) compared to patients on typical antipsychotic therapy (115.74±18.63 mg/dL); with a positive and non-significant correlation between hyperglycemia and duration of treatment (r=0.215; p=0.053). However, in both typical and atypical antipsychotic patients, fasting glucose sugar levels between 110-125mg/dL were observed at the same level (118.07±4.84 mg/dL and 118.09±3.41mg/dL respectively). Male sex (OR=1.41; 95% CI 0.54-3.64), age group < 35 years (OR=1.84; 95% CI 0.69-4.88), single (OR=2.18; 95% CI 0.83-5.67), typical antipsychotic drugs (OR=1.12; 95% CI 0.42-3.01), schizophrenia (OR=1.80; 95% CI 0.25-12.84) and bipolar disorder (OR=1.50; 95% CI 0.14-15.46) were independent predictors of hyperglycemia in those patients. Conclusion: Regular monitoring of anthropometric and clinical parameters should be assigned to people suffering from psychotic disorders and under treatment. Therefore, they should benefit from good management of the risk factors for diabetes to prevent the onset of the disease and avoid increased morbidity and mortality in this vulnerable population.
    VL  - 6
    IS  - 6
    ER  - 

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Author Information
  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

  • Centre for Food and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Ministry of Scientific Research and Innovation, Yaounde, Cameroon

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