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Kim J, Hurh K, Han S, Kim H, Park EC, Jang SY. Association between antidepressants and the risk of diabetic foot ulcers and amputation in antidepressant-naïve type 2 diabetes mellitus patients: A nested case-control study. Diabetes Res Clin Pract 2024; 209:111591. [PMID: 38403177 DOI: 10.1016/j.diabres.2024.111591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/15/2023] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
AIMS Antidepressants are widely used by individuals with type 2 diabetes mellitus (T2DM). This study aimed to explore the correlation between antidepressant use, considering specific antidepressant subclasses or cumulative doses, and diabetic foot ulcer (DFU) risk. METHODS This nested case-control study was conducted using a representative population-based Korean cohort database from 2002 to 2019. Participants with DFUs were matched with participants without DFUs based on age, sex, date of T2DM diagnosis, and follow-up duration. In total, 791 DFUs and 3900 controls were included. The association between antidepressant use or cumulative dose of each antidepressant subclass, DFU risk and amputation risk was examined using a conditional logistic regression model. RESULTS Antidepressant ever-use was associated with an increased incidence of DFUs compared with non-use. Furthermore, an increase in DFU risk was evident with increasing cumulative antidepressant dosage, particularly among tricyclic antidepressant (TCA) ever-users and selective serotonin reuptake inhibitors (SSRIs) ever-users. Additionally, antidepressant ever-users displayed a higher risk of DFUs requiring amputation, which was consistently observed when the cumulative dosages of overall antidepressants and TCAs were considered. CONCLUSION Caution is advised when administering TCAs and SSRIs in antidepressant-naïve T2DM patients to reduce DFU and the consequent amputation risk.
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Affiliation(s)
- Jinhyun Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea; Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyungduk Hurh
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Seokmoon Han
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyunkyu Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea; Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun-Cheol Park
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Suk-Yong Jang
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea; Department of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
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Wu CY, Cogo-Moreira H, MacIntosh BJ, Edwards JD, Krance SH, Eid M, Schreiner PJ, Launer LJ, Swardfager W. Dynamic relationships between depressive symptoms and insulin resistance over 20 years of adulthood. Psychol Med 2023; 53:1458-1467. [PMID: 36470626 PMCID: PMC10009397 DOI: 10.1017/s0033291721003032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/06/2021] [Accepted: 07/12/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Bidirectional longitudinal relationships between depression and diabetes have been observed, but the dominant direction of their temporal relationships remains controversial. METHODS The random-intercept cross-lagged panel model decomposes observed variables into a latent intercept representing the traits, and occasion-specific latent 'state' variables. This permits correlations to be assessed between the traits, while longitudinal 'cross-lagged' associations and cross-sectional correlations can be assessed between occasion-specific latent variables. We examined dynamic relationships between depressive symptoms and insulin resistance across five visits over 20 years of adulthood in the population-based Coronary Artery Risk Development in Young Adults (CARDIA) study. Possible differences based on population group (Black v. White participants), sex and years of education were tested. Depressive symptoms and insulin resistance were quantified using the Center for Epidemiologic Studies Depression (CES-D) scale and the homeostatic model assessment for insulin resistance (HOMA-IR), respectively. RESULTS Among 4044 participants (baseline mean age 34.9 ± 3.7 years, 53% women, 51% Black participants), HOMA-IR and CES-D traits were weakly correlated (r = 0.081, p = 0.002). Some occasion-specific correlations, but no cross-lagged associations were observed overall. Longitudinal dynamics of these relationships differed by population groups such that HOMA-IR at age 50 was associated with CES-D score at age 55 (β = 0.076, p = 0.038) in White participants only. Longitudinal dynamics were consistent between sexes and based on education. CONCLUSIONS The relationship between depressive symptoms and insulin resistance was best characterized by weak correlations between occasion-specific states and enduring traits, with weak evidence that insulin resistance might be temporally associated with subsequent depressive symptoms among White participants later in adulthood.
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Affiliation(s)
- Che-Yuan Wu
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Hugo Cogo-Moreira
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Education, ICT and Learning, Østfold University College, Halden, Norway
| | - Bradley J. MacIntosh
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jodi D. Edwards
- University of Ottawa Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- ICES, Ottawa, Ontario, Canada
| | - Saffire H. Krance
- Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Michael Eid
- Department of Educational Science and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minnesota, USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institutes of Health, Bethesda, Maryland, USA
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada
- KITE UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada
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Wang Y, Zeng L, Chen L, Zhou X, Huo L, Wang T, Zhou Y, Zhang X. The prevalence and clinical characteristics of diabetes mellitus in Chinese inpatients with chronic schizophrenia: a multicenter cross-sectional study. PeerJ 2021; 9:e12553. [PMID: 34909279 PMCID: PMC8641481 DOI: 10.7717/peerj.12553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 11/05/2021] [Indexed: 11/20/2022] Open
Abstract
Background Diabetes mellitus (DM) is common among patients with schizophrenia. However, information on patients comorbid DM and schizophrenia is limited in China. The present study investigated the prevalence of DM and its clinical characteristics in Chinese inpatients with chronic schizophrenia. Methods A cross-sectional study was performed in Chinese inpatients with chronic schizophrenia. Diagnosis of Diabetes was established using World Health Organization diagnostic criteria for diabetes mellitus (persistent fasting glucose levels ≥ 126 mg/dl or 2-h plasma glucose ≥ 200 mg/dL after a 75-g Oral Glucose Tolerance Test). Patients were also measured height, weight, waist circumference, hip circumference, triglyceride level, and cholesterol level. Patients’ psychiatric symptoms were measured by the Positive and Negative Syndrome Scale (PANSS). Binary logistic regression analysis was performed to examine the associated demographic and clinical variables in chronic schizophrenia. Results A total of 988 inpatients (64.6% male, average age of 47.19 ± 12.55) was recruited. The prevalence of DM in Chinese patients with chronic schizophrenia was 13.8% (95% CI [11.6–15.9]%). Logistic regression analysis showed that overweight (OR = 1.90, 95% CI [1.20–3.03], p = 0.006), obesity (OR = 1.85, 95% CI [1.07–3.21], p = 0.028), comorbid hypertension (OR = 2.14, 95% CI [1.34–3.42], p = 0.002), and course of schizophrenia (OR = 1.03, 95% CI [1.01–1.06], p = 0.040) were significantly associated with the DM risk in patients with schizophrenia. Conclusion The findings indicated that diabetes mellitus was non-negligible in patients with chronic schizophrenia. Patients with schizophrenia should be regularly monitored for DM. Overweight/obesity, long duration of schizophrenia, and comorbid hypertension possibly were risk factors for diabetes.
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Affiliation(s)
- Yanni Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou, China
| | - Lingyun Zeng
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Lijuan Chen
- School of Literature, Journalism & Communication, South-Central University for Nationalities, Wuhan, China
| | - Xin Zhou
- Research Center for Psychological and Health Sciences, China University of Geosciences, Wuhan, China
| | - Lijuan Huo
- Department of Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Tingwei Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Lanzhou, China
| | - Yongjie Zhou
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Risk of Depression and Suicidality among Diabetic Patients: A Systematic Review and Meta-Analysis. J Clin Med 2018; 7:jcm7110445. [PMID: 30453557 PMCID: PMC6262418 DOI: 10.3390/jcm7110445] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 11/14/2018] [Accepted: 11/14/2018] [Indexed: 12/19/2022] Open
Abstract
The purpose of this study is to conduct a systematic review and meta-analysis to evaluate the risk of depression and suicidality among diabetic patients. METHODS Medline, PubMed, EMBASE, Cochrane library, and Psych INFO were searched for studies published from 2008 onwards. Meta-analysis was conducted to estimate the pooled effect size. Sources of heterogeneity were investigated by subgroup analysis and meta-regression. RESULTS In total, 5750 articles were identified and of those, 17 studies on suicidality and 36 on depression were included in this study. Our analysis suggests a positive relationship between diabetes and depression (cohort studies odds ratio (OR) 1.49, 95% confidence interval (CI): 1.36⁻1.64 and cross-sectional studies OR 2.04, 95% CI, 1.73⁻2.42). Pooled OR values for suicidal ideation, attempted suicide, and completed suicide were 1.89 (95% CI: 1.36⁻2.63), 1.45 (95% CI: 1.07⁻1.96), and 1.85 (95% CI: 0.97⁻3.52), respectively. All findings were statistically significant except for completed suicide. CONCLUSIONS The increased risk of depression and suicidality in diabetic patients highlights the importance of integrating the evaluation and treatment of depression with diabetes management in primary healthcare settings. Further research in this area is needed.
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Mueller PL, Pritchett CE, Wiechman TN, Zharikov A, Hajnal A. Antidepressant-like effects of insulin and IGF-1 are mediated by IGF-1 receptors in the brain. Brain Res Bull 2018; 143:27-35. [DOI: 10.1016/j.brainresbull.2018.09.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 09/14/2018] [Accepted: 09/25/2018] [Indexed: 12/11/2022]
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Cleal B, Panton UH, Willaing I, Holt R. Incidence of filled antidepressant prescriptions among people with newly diagnosed diabetes and its interaction with occupational status within the working population of Denmark 1996-2010. Prim Care Diabetes 2018; 12:305-311. [PMID: 29409730 DOI: 10.1016/j.pcd.2018.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 12/21/2017] [Accepted: 01/01/2018] [Indexed: 02/09/2023]
Abstract
AIMS People with diabetes have heightened levels of depressive symptoms, but less is known about the development of these symptoms in relation to diabetes duration. In this study, we examined the use of prescribed antidepressants in the first five years after diagnosis of diabetes among the working-age population in Denmark. METHODS All Danish adults aged 18-54 years, diagnosed with diabetes in the study period were included. Diabetes status and purchase of prescription antidepressants were obtained from validated population registers. Data analysis focused on filled antidepressant prescriptions at ≤1 and ≤5years from diagnosis with diabetes. RESULTS 35,677 people diagnosed with diabetes were included in the study. At ≤1 year post-diagnosis, 2.6% had filled antidepressant prescriptions. At ≤5years, this figure rose to 10.4%. Overall, both female gender and lower socioeconomic status were associated with higher incidence of filled antidepressant prescriptions. Diabetes duration modified the degree of differences between men and women and socioeconomic strata. CONCLUSION Diagnosis with diabetes immediately impacts mental wellbeing, with higher rates of filled antidepressant prescriptions in the first year after diagnosis. People of working age diagnosed with diabetes face specific challenges and addressing such challenges would enhance patient experiences. Focus on mental health in the clinical encounter with people newly diagnosed with diabetes is warranted and important.
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Affiliation(s)
- Bryan Cleal
- Health Promotion Research, Steno Diabetes Center Copenhagen, Niels Steensens Vej 6, Gentofte DK-2820, Denmark.
| | | | - Ingrid Willaing
- Health Promotion Research, Steno Diabetes Center Copenhagen, Niels Steensens Vej 6, Gentofte DK-2820, Denmark
| | - Richard Holt
- Human Development and Health Academic Unit, Faculty of Medicine, The Institute of Developmental Sciences (IDS Building), MP887, University of Southampton, Southampton General Hospital, Hampshire, United Kingdom
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Fazeli Farsani S, Abdullah-Koolmees H, Souverein PC, de Boer A, Mantel-Teeuwisse AK. Psychiatric medication use before and after the onset of type 1 diabetes in children and adolescents: A population-based cohort study. Pediatr Diabetes 2018; 19:121-128. [PMID: 28436135 DOI: 10.1111/pedi.12529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 03/23/2017] [Accepted: 03/24/2017] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Several studies showed a bidirectional association between type 2 diabetes and psychiatric disorders in adults. Because there is limited information on the association between type 1 diabetes (T1D) and psychiatric disorders (including psychiatric medication use) in children and adolescents, we assessed frequency of use of these medications before and after the onset of T1D. METHODS A population-based cohort study was conducted in the Dutch PHARMO Record Linkage System (1999-2009). Children and adolescents (<19 years) with at least 2 insulin dispensings from community pharmacies (T1D cohort, N = 925) were matched by age and sex (reference cohort without insulin use, N = 3591). The 5-year prevalence of psychiatric medication use (psycholeptics [ATC N05] and psychoanaleptics [ATC N06]) before and after onset of T1D were estimated, compared, and stratified by age, sex, and medication subgroup. RESULTS The mean age of study participants was 10.1 years and 51% were boys. The 5-year prevalence of psychiatric medication use before the index date was significantly higher in the T1D cohort than in the reference cohort (7.2% vs 4.7%, respectively; P = .002) with the same pattern after developing T1D (10.4% vs 7.9%, respectively; P = .015). In both cohorts, adolescents (15-19 years) and boys had higher prevalences of use. This increased prevalence of psychiatric medication use both before and after the index date in T1D cohort was mainly driven by an increased use of psycholeptics (predominantly anxiolytics). CONCLUSIONS Children with T1D were more likely to use psychiatric medication in the years before and after the onset of T1D which was mainly driven by psycholeptic use.
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Affiliation(s)
- Soulmaz Fazeli Farsani
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, the Netherlands
| | - Heshu Abdullah-Koolmees
- Department of Clinical Pharmacy, Division Laboratory and Pharmacy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Patrick C Souverein
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, the Netherlands
| | - Anthonius de Boer
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, the Netherlands
| | - Aukje K Mantel-Teeuwisse
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, the Netherlands
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Gregory JM, Rosenblat JD, McIntyre RS. Deconstructing Diabetes and Depression: Clinical Context, Treatment Strategies, and New Directions. FOCUS: JOURNAL OF LIFE LONG LEARNING IN PSYCHIATRY 2016; 14:184-193. [PMID: 31975802 DOI: 10.1176/appi.focus.20150040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Depression and diabetes are common, chronic, and frequently comorbid diseases that contribute substantially to global disability and mortality. Their relationship is bidirectional: depression increases the risk of developing type 2 diabetes mellitus (T2DM), and diabetes increases the risk of depression. Unhealthy lifestyles and poor self-care by patients with depression contribute to the increased T2DM risk. The psychosocial burden of a diabetes diagnosis and its eventual complications predispose diabetic patients to depressive symptoms. Neuroendocrine alterations and inflammation may underlie the increased risk of T2DM in depression but are also proposed as common causative factors for both illnesses. Screening for depression is essential in T2DM, and vice versa. Selective serotonin reuptake inhibitors effectively treat depression of patients with diabetes and positively influence glycemic control. Psychological interventions are effective for depressive symptoms, but their effect on glycemic control varies. Novel depression interventions targeting inflammation or insulin resistance underscore the common biological underpinnings of mood and metabolism.
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Affiliation(s)
- Jonathan M Gregory
- Dr. Gregory is with the Department of Psychiatry, Western University, London, Ontario, Canada. Dr. Rosenblat and Dr. McIntyre are with the Department of Pharmacology and the Mood Disorder Psychopharmacology Unit, University Health Network, and the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Send correspondence to Dr. McIntyre (e-mail: )
| | - Joshua D Rosenblat
- Dr. Gregory is with the Department of Psychiatry, Western University, London, Ontario, Canada. Dr. Rosenblat and Dr. McIntyre are with the Department of Pharmacology and the Mood Disorder Psychopharmacology Unit, University Health Network, and the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Send correspondence to Dr. McIntyre (e-mail: )
| | - Roger S McIntyre
- Dr. Gregory is with the Department of Psychiatry, Western University, London, Ontario, Canada. Dr. Rosenblat and Dr. McIntyre are with the Department of Pharmacology and the Mood Disorder Psychopharmacology Unit, University Health Network, and the Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Send correspondence to Dr. McIntyre (e-mail: )
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Hasan SS, Mamun AA, Clavarino AM, Kairuz T. Incidence and risk of depression associated with diabetes in adults: evidence from longitudinal studies. Community Ment Health J 2015; 51:204-10. [PMID: 24951962 DOI: 10.1007/s10597-014-9744-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2013] [Accepted: 06/16/2014] [Indexed: 11/30/2022]
Abstract
This meta-analysis examined depression as a consequence of diabetes by conducting a meta-analysis, using data from longitudinal studies. Databases were systematically searched for relevant studies. Incidence of depression is presented as cumulative incident proportion (CIP). Pooled effect sizes were calculated using random-effects model. The data were reconstructed to compute relative risk (RR) and CIP. The 16 studies selected for review generated 16 datasets of which 11 studies reporting binary estimates (RR) and 5 studies reporting time-to-event estimates [hazard ratio (HR)]. Both RR and HR were significant at 1.27 (95% CI 1.17-1.38) and 1.23 (95% CI 1.08-1.40) for incident depression associated with diabetes mellitus. Our observations also revealed greater cumulative incidence of depression in diabetes than in non diabetes groups. Our study shows that diabetes is a significant risk factor for the onset of depression.
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Affiliation(s)
- Syed Shahzad Hasan
- School of Pharmacy, The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD, 4102, Australia,
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Manderbacka K, Jokela M, Sund R, Elovainio M. Treatment of depression in diagnosed diabetes: common cause or detection bias? Psychol Med 2014; 44:1205-1212. [PMID: 23962440 DOI: 10.1017/s0033291713001566] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND This study examined two competing hypotheses concerning the association between diabetes and treatment for depression: (1) the detection/ascertainment bias hypothesis suggesting that those with diabetes are more likely to be diagnosed with and treated for depression because of increased medical attention and (2) a hypothesis assuming that diabetes and depression share common underlying pathophysiological pathways. METHOD The study population included all persons aged 35-65 years in Finland with any record of type 2 diabetes in the national health and population registers from 1999 to 2002 and for whom register-based data on depression treatment (antidepressant medication use and hospitalizations for depression) were available at least 2 years before and after the diagnosis of diabetes (n = 18,217). Sociodemographic data were individually linked to the study population. Associations between diabetes diagnosis and time and indicators of depression care were assessed with population-averaged multilevel logistic models. RESULTS Within the year following diagnosis diabetes, there was a 5% increase in antidepressant medication use but not in hospitalization for depression. The longitudinal change in antidepressant use over time was less steep after the diabetes diagnosis, and hospitalization risk decreased after the diagnosis. These associations between diabetes diagnosis and depression treatment were not modified by the participant's socio-economic position (SEP). CONCLUSIONS These findings support the common cause hypothesis that treatment for diabetes is beneficial to the prevention of depression rather than the detection/ascertainment hypothesis that individuals with diabetes have higher rates of depression because they receive more medical attention in general.
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Affiliation(s)
- K Manderbacka
- National Institute for Health and Welfare, Service System Research Unit, Helsinki, Finland
| | - M Jokela
- Institute of Behavioral Sciences, University of Helsinki, Finland
| | - R Sund
- National Institute for Health and Welfare, Service System Research Unit, Helsinki, Finland
| | - M Elovainio
- National Institute for Health and Welfare, Service System Research Unit, Helsinki, Finland
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Hasan SS, Clavarino AM, Mamun AA, Kairuz T. Incidence and risk of diabetes mellitus associated with depressive symptoms in adults: evidence from longitudinal studies. Diabetes Metab Syndr 2014; 8:82-87. [PMID: 24907171 DOI: 10.1016/j.dsx.2014.04.023] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
AIMS We estimated the incidence and risk of diabetes associated with depressive symptoms using data from longitudinal studies. MATERIALS AND METHODS Databases were systematically searched for relevant studies. Incidence of diabetes is presented as cumulative incident proportion (CIP). Pooled effect sizes were calculated using random-effects model. The data were reconstructed to compute relative risk (RR). RESULTS The 16 studies selected for review generated 16 datasets of which 8 studies reporting binary estimates (RR) and 8 studies reporting time-to-event estimates (hazard ratio (HR)). Both RR and HR were significant at 1.67 (95% CI: 1.30-2.15) and 1.45 (95% CI: 1.12-1.87) for incident diabetes associated with depressive symptoms. CONCLUSION Our observations revealed greater cumulative incidence of diabetes in depressed than in non depressed groups. Depression should be included among risk factors that required regular screening for diabetes.
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Affiliation(s)
- Syed Shahzad Hasan
- The University of Queensland, 20 Cornwall Street, Woolloongabba 4102, Queensland, Australia.
| | - Alexandra M Clavarino
- The University of Queensland, 20 Cornwall Street, Woolloongabba 4102, Queensland, Australia.
| | - Abdullah A Mamun
- The University of Queensland, Herston Road, Herston 4006, Queensland, Australia.
| | - Therese Kairuz
- The University of Queensland, 20 Cornwall Street, Woolloongabba 4102, Queensland, Australia.
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Abstract
There is a controversy regarding whether depression and type 2 diabetes are causally linked. To assess this issue, we review key findings for the association between depression and diabetes, and its underlying mechanisms. Findings from meta-analyses of cohort studies show a modestly sized bidirectional association between depression and type 2 diabetes (ie, depression predicts diabetes onset and diabetes predicts future depression). However, depression-related biological alterations in the hypothalamic-pituitary-adrenal cortex axis and the sympathetic nervous system, and subclinical inflammation, are not consistently linked with increased diabetes risk. The evidence for an association between depression and glycaemic traits (eg, glucose, insulin, insulin sensitivity, and insulin secretion) is also mixed. Diabetes increases the risk of depression to the same extent as do other chronic disorders (eg, cardiac diseases, osteoarthritis, lung disease, and poor hearing). At present, the available evidence suggests that pathophysiological changes preceding the onset of type 2 diabetes might not cause depression, nor might depression directly increase the risk of developing type 2 diabetes. Despite insufficient robust causal evidence, treating physicians should be aware of the co-occurrence of depression and type 2 diabetes.
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Affiliation(s)
- Adam G Tabák
- Department of Epidemiology and Public Health, University College London, London, UK; Semmelweis University Faculty of Medicine, 1st Department of Medicine, Budapest, Hungary.
| | - Tasnime N Akbaraly
- Department of Epidemiology and Public Health, University College London, London, UK; Inserm U 1061, Montpellier, France; University Montpellier I, Montpellier, France
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
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Population impact of depression either as a risk factor or consequence of type 2 diabetes in adults: a meta-analysis of longitudinal studies. Asian J Psychiatr 2013; 6:460-72. [PMID: 24309855 DOI: 10.1016/j.ajp.2013.09.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Revised: 09/09/2013] [Accepted: 09/15/2013] [Indexed: 11/21/2022]
Abstract
This meta-analysis examined the reciprocal relationship between depression and diabetes mellitus type 2 (T2DM) by conducting a bias adjusted meta-analysis of longitudinal studies using relative and absolute risk estimates. Specifically, the data were reconstructed to compute relative risk (RR), risk difference (RD), and the number needed to be exposed for one additional person to be harmed (NNEH) or benefited (NNEB). The 25 studies selected for review generated 29 datasets of which 15 examined endpoint A (depression as a risk factor for T2DM), and 14 examined endpoint B (T2DM as a risk factor for depression). For both endpoints, there was a small relative risk increase (for both the RR and hazard ratio (HR)) though with significant heterogeneity between studies. This however translated to a non-significant NNEH of 87 (NNEB 161 to ∞ to NNEH 35) and NNEH of 233 (NNEB 28 to ∞ to NNEH 23) for studies examining endpoint A and endpoint B respectively. This study suggests that the magnitude of the relative risk increase for depression as a risk factor or consequence of T2DM is small without significant impact on absolute risk indices. While these risks may be considered in terms of individual patient management, they are unlikely to have an impact on a population perspective.
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Barnard K, Peveler RC, Holt RIG. Antidepressant medication as a risk factor for type 2 diabetes and impaired glucose regulation: systematic review. Diabetes Care 2013; 36:3337-45. [PMID: 24065841 PMCID: PMC3781547 DOI: 10.2337/dc13-0560] [Citation(s) in RCA: 121] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Antidepressant use has risen sharply over recent years. Recent concerns that antidepressants may adversely affect glucose metabolism require investigation. Our aim was to assess the risk of type 2 diabetes associated with antidepressants through a systematic review. RESEARCH DESIGN AND METHODS Data sources were MEDLINE, Embase, PsycINFO, The Cochrane Library, Web of Science, meeting abstracts of the European Association for the Study of Diabetes, American Diabetes Association, and Diabetes UK, Current Controlled Trials, ClinicalTrials.gov, U.K. Clinical Research Network, scrutiny of bibliographies of retrieved articles, and contact with relevant experts. Relevant studies of antidepressant effects were included. Key outcomes were diabetes incidence and change in blood glucose (fasting and random). RESULTS Three systemic reviews and 22 studies met the inclusion criteria. Research designs included 1 case series and 21 observational studies comprising 4 cross-sectional, 5 case-control, and 12 cohort studies. There was evidence that antidepressant use is associated with type 2 diabetes. Causality is not established, but rather, the picture is confused, with some antidepressants linked to worsening glucose control, particularly with higher doses and longer duration, others linked with improved control, and yet more with mixed results. The more recent, larger studies, however, suggest a modest effect. Study quality was variable. CONCLUSIONS Although evidence exists that antidepressant use may be an independent risk factor for type 2 diabetes, long-term prospective studies of the effects of individual antidepressants rather than class effects are required. Heightened alertness to potential risks is necessary until these are complete.
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Depression, neighborhood deprivation and risk of type 2 diabetes. Health Place 2013; 23:63-9. [PMID: 23771166 DOI: 10.1016/j.healthplace.2013.05.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Revised: 04/22/2013] [Accepted: 05/04/2013] [Indexed: 11/23/2022]
Abstract
Neighborhood characteristics have been associated with both depression and diabetes, but to date little attention has been paid to whether the association between depression and diabetes varies across different types of neighborhoods. This prospective study examined the relationship between depression, neighborhood deprivation, and risk of type 2 diabetes among 336,340 adults from a national-representative sample of primary care centers in Sweden (2001-2007). Multi-level logistic regression models were used to assess associations between depression and risk of type 2 diabetes across affluent and deprived neighborhoods. After accounting for demographic, individual-level socioeconomic, and health characteristics, depression was significantly associated with risk of diabetes (odds ratio (OR): 1.10, 95% confidence interval (CI): 1.06-1.14), as was neighborhood deprivation (OR for high vs. low deprivation: 1.66, 95% CI: 1.22-1.34). The interaction term between depression and neighborhood deprivation was non-significant, indicating that the relationship between depression and diabetes risk is similar across levels of neighborhood socioeconomic deprivation.
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Rotella F, Mannucci E. Diabetes mellitus as a risk factor for depression. A meta-analysis of longitudinal studies. Diabetes Res Clin Pract 2013; 99:98-104. [PMID: 23265924 DOI: 10.1016/j.diabres.2012.11.022] [Citation(s) in RCA: 150] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Revised: 11/22/2012] [Accepted: 11/23/2012] [Indexed: 12/25/2022]
Abstract
AIM The present meta-analysis is aimed at the assessment of the risk of incident clinical depression and/or depressive symptoms in patients with diabetes. METHODS A Medline search was performed on December 30th, 2011, using the search string: "diabetes AND (depression OR antidepressant)", selecting longitudinal studies that assessed the risk of incident depression in subjects with or without diabetes. Study design and characteristics were verified for each study. A meta-analysis was performed for unadjusted and adjusted risk ratios of incident depression in subjects with diabetes using a random effect model. Additional analyses were performed to assess heterogeneity, publication bias and specific hazard ratios for several possible confounders. RESULTS Of the 1898 retrieved studies, 16 were included in the meta-analysis, enrolling 497,223 subjects, with a mean follow-up of 5.8 years and 42,633 cases of incident depression. A higher incidence of depression was found in diabetic subjects (1.6% vs 1.4% yearly), with unadjusted and adjusted risk [95% confidence interval] of 1.29 [1.18-1.40] (p<0.001) and 1.25 [1.10-1.44] (p=0.001), respectively. CONCLUSIONS Diabetes is associated with a significantly increased risk for depressive symptoms. Pathogenetic mechanisms connecting diabetes with depression deserve further exploration.
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Affiliation(s)
- F Rotella
- Diabetes Agency, Careggi Teaching Hospital, Firenze, Italy.
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Abstract
PURPOSE OF REVIEW Depression and diabetes mellitus type 2 (DM2) are frequently comorbid conditions. It is of considerable clinical significance to avoid metabolic risks in nondiabetic depressed patients and to consider effects on glucose regulation in depressed DM2 patients. This review is an overview on antidepressant treatment and its potential metabolic risks. RECENT FINDINGS It is increasingly recognized that effective treatment with antidepressants improves glucose homeostasis in nondiabetic depressed patients in the short run, whereas long-term effects are a matter of debate. Cognitive behavioral and selective serotonin reuptake inhibitor (SSRI) treatment may improve glycemic control in depressed DM2 patients, whereas noradrenergic antidepressants and tricyclic antidepressants (TCAs) may cause the metabolic situation to deteriorate. SUMMARY SSRIs are preferable in nondiabetic depressed patients since they improve glucose regulation in the short run and may have little untoward effects in the long run. In depressed DM2 patients, SSRIs are the only class of antidepressants with confirmed favorable effects on glycemic control.
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Nousen EK, Franco JG, Sullivan EL. Unraveling the mechanisms responsible for the comorbidity between metabolic syndrome and mental health disorders. Neuroendocrinology 2013; 98:254-66. [PMID: 24080959 PMCID: PMC4121390 DOI: 10.1159/000355632] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2013] [Accepted: 09/10/2013] [Indexed: 12/25/2022]
Abstract
The increased prevalence and high comorbidity of metabolic syndrome (MetS) and mental health disorders (MHDs) have prompted investigation into the potential contributing mechanisms. There is a bidirectional association between MetS and MHDs including schizophrenia, bipolar disorder, depression, anxiety, attention-deficit/hyperactivity disorder, and autism spectrum disorders. Medication side effects and social repercussions are contributing environmental factors, but there are a number of shared underlying neurological and physiological mechanisms that explain the high comorbidity between these two disorders. Inflammation is a state shared by both disorders, and it contributes to disruptions of neuroregulatory systems (including the serotonergic, dopaminergic, and neuropeptide Y systems) as well as dysregulation of the hypothalamic-pituitary-adrenal axis. MetS in pregnant women also exposes the developing fetal brain to inflammatory factors that predispose the offspring to MetS and psychopathologies. Due to the shared nature of these conditions, treatment should address aspects of both mental health and metabolic disorders. Additionally, interventions that can interrupt the transfer of increased risk of the disorders to the next generation need to be developed. © 2013 S. Karger AG, Basel.
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Affiliation(s)
- Elizabeth K. Nousen
- Division of Diabetes, Obesity, and Metabolism, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Juliana G. Franco
- Division of Diabetes, Obesity, and Metabolism, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Elinor L. Sullivan
- Division of Diabetes, Obesity, and Metabolism, Oregon National Primate Research Center, Beaverton, OR, USA
- Department of Biology, University of Portland, Portland, OR, USA
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Atlantis E, Browning C, Sims J, Kendig H. Diabetes incidence associated with depression and antidepressants in the Melbourne Longitudinal Studies on Healthy Ageing (MELSHA). Int J Geriatr Psychiatry 2010; 25:688-96. [PMID: 19806604 DOI: 10.1002/gps.2409] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Diabetes may be associated with depression and antidepressant medication (ADM) use, but published findings remain equivocal. The authors' aimed to determine the risk of diabetes incidence associated with baseline depression exposures (symptoms and/or ADM use). METHODS A prospective cohort study was conducted in a regionally representative sample of non-institutionalised older Australian people (N = 1000, aged 65 + year), who were followed up biennially between 1994 and 2004 (attrition was approximately 24%). Analyses excluded participants for prevalent diabetes at baseline, determined by self-report or specific medications. Diabetes incidence was ascertained by first self-report at any follow-up wave. Depression exposures (baseline predictors) were defined by the Psychogeriatric Assessment Scales (PAS) depression scale and ADM use, and classified as: (1) 'symptomatic' (PAS score 5+); (2) 'ADM use'; (3) 'symptomatic or ADM use'; (4) 'symptomatic and no ADM use'; (5) 'asymptomatic (PAS score <5) and ADM use' and (6) 'symptomatic and ADM use'. Covariates were demographic, lifestyle, functional health and chronic disease factors. Cox regressions were used to determined hazard ratios with 95% confidence intervals (HR [95% CI]) for diabetes incidence according to depression exposures, adjusted for significant covariates. RESULTS Baseline response rate was 70.3%. Depression predictors of diabetes incidence were 'symptomatic' (2.29 [1.28,4.10]), 'symptomatic or ADM use' (2.13 [1.32,3.44]) and 'symptomatic and no ADM use' (2.38 [1.28,4.45]), after adjustment for significant covariates. Being asymptomatic was not a protective factor among those prescribed antidepressants. CONCLUSIONS Older people with depressive symptoms are at least twice more likely to develop diabetes than those without depressive symptoms, regardless of antidepressants.
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Affiliation(s)
- Evan Atlantis
- Ageing, Work, and Health Research Unit, Faculty of Health Sciences, The University of Sydney, Sydney, Australia.
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Aujla N, Abrams KR, Davies MJ, Taub N, Skinner TC, Khunti K. The prevalence of depression in white-European and South-Asian people with impaired glucose regulation and screen-detected type 2 diabetes mellitus. PLoS One 2009; 4:e7755. [PMID: 19898618 PMCID: PMC2768906 DOI: 10.1371/journal.pone.0007755] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2009] [Accepted: 10/14/2009] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND There is a clear relationship between depression and diabetes. However, the directionality of the relationship remains unclear and very little research has considered a multi-ethnic population. The aim of this study was to determine the prevalence of depression in a White-European (WE) and South-Asian (SA) population attending a community diabetes screening programme, and to explore the association of depression with screen-detected Type 2 diabetes mellitus (T2DM) and impaired glucose regulation (IGR). METHODOLOGY/PRINCIPAL FINDINGS Participants were recruited from general practices in Leicestershire (United Kingdom) between August 2004 and December 2007. 4682 WE (40-75 years) and 1327 SA participants (25-75 years) underwent an Oral Glucose Tolerance Test, detailed history, anthropometric measurements and completed the World Health Organisation-Five (WHO-5) Wellbeing Index. Depression was defined by a WHO-5 wellbeing score < or =13. Unadjusted prevalence of depression for people in the total sample with T2DM and IGR was 21.3% (21.6% in WE, 20.6% in SA, p = 0.75) and 26.0% (25.3% in WE, 28.9% in SA, p = 0.65) respectively. For people with normal glucose tolerance, the prevalence was 25.1% (24.9% in WE, 26.4% in SA, p = 0.86). Age-adjusted prevalences were higher for females than males. Odds ratios adjusted for age, gender, and ethnicity, showed no significant increase in prevalent depression for people with T2DM (OR = 0.95, 95%CI 0.62 to 1.45) or IGR (OR = 1.17, 95%CI 0.96 to 1.42). CONCLUSIONS Prior to the knowledge of diagnosis, depression was not significantly more prevalent in people with screen detected T2DM or IGR. Differences in prevalent depression between WE and SA people were also not identified. In this multi-ethnic population, female gender was significantly associated with depression.
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Affiliation(s)
- Navneet Aujla
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
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Sterling JA. Recent Publications on Medications and Pharmacy. Hosp Pharm 2009. [DOI: 10.1310/hpj4405-439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Hospital Pharmacy presents this feature to keep pharmacists abreast of new publications in the medical/pharmacy literature. Articles of interest regarding a broad scope of topics are abstracted monthly. Suggestions or comments may be addressed to Jacyntha Sterling, Drug Information Specialist at Saint Francis Hospital, 6161 S Yale Ave, Tulsa, OK 74136 or e-mail: jasterling@saintfrancis.com .
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