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Castro-de-Araujo LFS, Cortes F, de Siqueira Filha NT, Rodrigues EDS, Machado DB, de Araujo JAP, Lewis G, Denaxas S, Barreto ML. Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature. Front Psychol 2022; 13:940978. [PMID: 36186392 PMCID: PMC9524392 DOI: 10.3389/fpsyg.2022.940978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/26/2022] [Indexed: 11/25/2022] Open
Abstract
Objective The presence of two or more chronic diseases results in worse clinical outcomes than expected by a simple combination of diseases. This synergistic effect is expected to be higher when combined with some conditions, depending on the number and severity of diseases. Multimorbidity is a relatively new term, with the first fundamental definitions appearing in 2015. Studies usually define it as the presence of at least two chronic medical illnesses. However, little is known regarding the relationship between mental disorders and other non-psychiatric chronic diseases. This review aims at investigating the association between some mental disorders and non-psychiatric diseases, and their pattern of association. Methods We performed a systematic approach to selecting papers that studied relationships between chronic conditions that included one mental disorder from 2015 to 2021. These were processed using Covidence, including quality assessment. Results This resulted in the inclusion of 26 papers in this study. It was found that there are strong associations between depression, psychosis, and multimorbidity, but recent studies that evaluated patterns of association of diseases (usually using clustering methods) had heterogeneous results. Quality assessment of the papers generally revealed low quality among the included studies. Conclusions There is evidence of an association between depressive disorders, anxiety disorders, and psychosis with multimorbidity. Studies that tried to examine the patterns of association between diseases did not find stable results. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021216101, identifier: CRD42021216101.
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Affiliation(s)
- Luis Fernando Silva Castro-de-Araujo
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
- Department of Psychiatry, Austin Health, The University of Melbourne, Parkville, VIC, Australia
| | - Fanny Cortes
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
| | - Noêmia Teixeira de Siqueira Filha
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
- Department of Health Sciences, University of York, York, United Kingdom
| | - Elisângela da Silva Rodrigues
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
- Federal University of Ceará, Ceará, Brazil
| | - Daiane Borges Machado
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, United States
| | - Jacyra Azevedo Paiva de Araujo
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
- *Correspondence: Jacyra Azevedo Paiva de Araujo
| | - Glyn Lewis
- Division of Psychiatry, University College London, London, United Kingdom
| | - Spiros Denaxas
- Institute of Health Informatics, University College London, London, United Kingdom
| | - Mauricio L. Barreto
- Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, Bahia, Brazil
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Ponder WN, Whitworth J, Ross K, Sherrill T. Attachment-Based Relationship Satisfaction in Deployed and Non-Deployed Military Veterans with Prevalent PTSD, Anxiety, and Depression. JOURNAL OF VETERANS STUDIES 2022. [DOI: 10.21061/jvs.v8i3.330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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Asch RH, Kachadourian L, Southwick SM, Esterlis I, Pietrzak RH. Psychological Resilience to the Challenges of Physical Aging in Older U.S. Veterans: Results From the 2019-2020 National Health and Resilience in Veterans Study. Am J Geriatr Psychiatry 2021; 29:1280-1285. [PMID: 34053836 PMCID: PMC8553809 DOI: 10.1016/j.jagp.2021.04.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/16/2021] [Accepted: 04/16/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES To employ a novel analytic approach to quantify psychological resilience to physical health difficulties and identify factors associated with greater resilience in older U.S. veterans. METHODS Data from a nationally representative sample of older U.S. military veterans (N = 3,001), who participated in the National Health and Resilience in Veterans Study were analyzed to develop the Psychological Resilience Against Physical Difficulties Index (PRAPDI). Multiple regression and relative importance analyses were conducted to identify factors associated with greater PRAPDI scores. RESULTS Secure attachment style [17.3% relative variance explained (RVE)], mindfulness [16.6% RVE], and purpose in life [15.0% RVE] emerged as the strongest correlates of PRAPDI scores. CONCLUSION Intervention strategies aimed at fostering mindfulness, attachment security, and purpose in life may help promote psychological resilience to the challenges of physical aging in older veterans.
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Affiliation(s)
- Ruth H. Asch
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Corresponding author:
| | - Lorig Kachadourian
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Steven M. Southwick
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Irina Esterlis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Robert H. Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Clinical Neurosciences Division, U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, West Haven, CT, USA.,Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
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Lee ES, Koh HL, Ho EQY, Teo SH, Wong FY, Ryan BL, Fortin M, Stewart M. Systematic review on the instruments used for measuring the association of the level of multimorbidity and clinically important outcomes. BMJ Open 2021; 11:e041219. [PMID: 33952533 PMCID: PMC8103380 DOI: 10.1136/bmjopen-2020-041219] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES There are multiple instruments for measuring multimorbidity. The main objective of this systematic review was to provide a list of instruments that are suitable for use in studies aiming to measure the association of a specific outcome with different levels of multimorbidity as the main independent variable in community-dwelling individuals. The secondary objective was to provide details of the requirements, strengths and limitations of these instruments, and the chosen outcomes. METHODS We conducted the review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO registration number: CRD42018105297). We searched MEDLINE, Embase and CINAHL electronic databases published in English and manually searched the Journal of Comorbidity between 1 January 2010 and 23 October 2020 inclusive. Studies also had to select adult patients from primary care or general population and had at least one specified outcome variable. Two authors screened the titles, abstracts and full texts independently. Disagreements were resolved with a third author. The modified Newcastle-Ottawa Scale was used for quality assessment. RESULTS Ninety-six studies were identified, with 69 of them rated to have a low risk of bias. In total, 33 unique instruments were described. Disease Count and weighted indices like Charlson Comorbidity Index were commonly used. Other approaches included pharmaceutical-based instruments. Disease Count was the common instrument used for measuring all three essential core outcomes of multimorbidity research: mortality, mental health and quality of life. There was a rise in the development of novel weighted indices by using prognostic models. The data obtained for measuring multimorbidity were from sources including medical records, patient self-reports and large administrative databases. CONCLUSIONS We listed the details of 33 instruments for measuring the level of multimorbidity as a resource for investigators interested in the measurement of multimorbidity for its association with or prediction of a specific outcome.
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Affiliation(s)
- Eng Sing Lee
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Hui Li Koh
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
| | - Elaine Qiao-Ying Ho
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Sok Huang Teo
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
| | - Fang Yan Wong
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
| | - Bridget L Ryan
- Department of Epidemiology and Biostatistics, Western University Schulich School of Medicine and Dentistry, London, Ontario, Canada
- Centre for Studies in Family Medicine, Department of Family Medicine, Western University Schulich School of Medicine and Dentistry, London, Ontario, Canada
| | - Martin Fortin
- Department of Family Medicine and Emergency Medicine, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Moira Stewart
- Centre for Studies in Family Medicine, Department of Family Medicine, Western University Schulich School of Medicine and Dentistry, London, Ontario, Canada
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Abstract
Over 30% of veterans treated for psychiatric disorders in the Veterans Health Administration (VHA) are diagnosed with Post-Traumatic Stress Disorder (PTSD), with most receiving treatment for war-zone stress they experienced decades previously. We examined psychiatric multimorbidity among these patients and consider its implications for treatment and research. Using national VHA data from Fiscal Year 2012 on all veterans diagnosed with PTSD, we compared those with PTSD only to those with one, two, and three or more concurrent (non-substance use) psychiatric disorders. Comparisons of these four groups on sociodemographic characteristics, medical and substance use co-morbidities, health service use, and psychotropic prescription fills were conducted using bi-variate and ordinal logistic regression methods. Of 638,451 veterans diagnosed with PTSD in FY2012, only 29.8% had PTSD alone; 36.7% had one concurrent psychiatric diagnosis, 21.3% had two, and 12.2% had three or more. Anxiety disorder and major depressive disorder were the most common concurrent diagnoses. Veterans with higher levels of multimorbidity were younger, had greater likelihood of recent homelessness, substance use disorder, and diverse medical diagnoses, along with increased mental health and medical service use and greater psychotropic medication use. Psychiatric multimorbidity is highly prevalent among VHA patients diagnosed with PTSD, and may represent an underappreciated and poorly understood clinical complication that poses unique challenges to effective treatment. Clinical attention and both epidemiological and interventional research on multimorbidity in PTSD patients are needed in order to better understand and treat this common but understudied phenomenon.
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