Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-29T01:36:40.144Z Has data issue: false hasContentIssue false

Metabolic syndrome in people with a psychotic illness: is cannabis protective?

Published online by Cambridge University Press:  11 March 2016

A. Waterreus*
Affiliation:
Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
P. Di Prinzio
Affiliation:
Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
G. F. Watts
Affiliation:
Cardiometabolic Clinic, Centre for Cardiovascular Medicine, Royal Perth Hospital & School of Medicine and Pharmacology, The University of Western Australia, Perth, WA, Australia
D. Castle
Affiliation:
St. Vincent's Hospital & Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
C. Galletly
Affiliation:
University of Adelaide, Adelaide, SA, Australia
V. A. Morgan
Affiliation:
Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
*
*Address for correspondence: A. Waterreus, Neuropsychiatric Epidemiology Research Unit, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Level 3 MRF Building, rear 50 Murray Street, Perth, WA 6000, Australia. (Email: [email protected])

Abstract

Background

Rates of the metabolic syndrome in people with psychotic illness are high. Emerging evidence suggests that cannabis use may have a positive impact on cardiometabolic risk factors in the general population, but little is known about its impact for people with psychotic illness. Our aim was to investigate whether the rate of the metabolic syndrome in people with psychotic illness was associated with frequency of cannabis use.

Method

The 2010 Australian psychosis survey used a two-phase design to randomly select a nationally representative sample of 1825 adults with psychotic illness for interview and physical assessment. This study is based on 1813 participants who provided data on cannabis use. Multiple logistic regression was used to model the influence of frequency of cannabis use on the metabolic syndrome, adjusting for potential covariates including antipsychotic medication use, smoking, alcohol use and cognitive function.

Results

One-third (33.0%) of participants had used cannabis in the past year. The proportion of non-users, occasional users and frequent users with the metabolic syndrome was 63.0, 51.7 and 43.5%, respectively (p < 0.001). In unadjusted analyses, both occasional use and frequent cannabis use were associated with significantly lower odds of the metabolic syndrome. In the adjusted analyses, the association between the metabolic syndrome and frequent cannabis use remained significant [odds ratio = 0.56, 95% confidence interval (CI) 0.39–0.80], but not the association with occasional use (odds ratio = 0.75, 95% CI 0.49–1.13).

Conclusions

While cannabis use may be detrimental for mental health, these data suggest that it may also have a cardiometabolic protective effect. Further investigation is required to understand the mechanism underlying this paradoxical finding.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alberti, KGMM, Eckel, RH, Grundy, SM, Zimmet, PZ, Cleeman, JI, Donato, KA, Fruchart, J-C, James, WPT, Loria, CM, Smith, SC (2009). Harmonizing the Metabolic Syndrome: A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120, 16401645.Google Scholar
Australian Bureau of Statistics (2008). 2039.0 - Information Paper: An Introduction to Socio-Economic Indexes for Areas (SEIFA), 2006 (http://www.abs.gov.au/ausstats/[email protected]/mf/2039.0/). Accessed December 2015.Google Scholar
Australian Schizophrenia Research Bank (2011). Customised data provided by the Australian Schizophrenia Research Bank which is supported by the National Health and Medical Research Council of Australia, the Pratt Foundation; Ramsay Health Care and the Schizophrenia Research Institute (http://www.schizophreniaresearch.org.au/bank/). Accessed December 2015.Google Scholar
Barrowclough, C, Gregg, L, Lobban, F, Bucci, S, Emsley, R (2015). The impact of cannabis use on clinical outcomes in recent onset psychosis. Schizophrenia Bulletin 41, 382390.Google Scholar
Bush, K, Kivlahan, DR, McDonell, MB, Fihn, SD, Bradley, KA (1998). The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Archives of Internal Medicine 158, 17891795.Google Scholar
Castle, D, Jablensky, A, McGrath, J, Carr, V, Morgan, V, Waterreus, A, Valuri, G, Stain, H, McGuffin, P, Farmer, A (2006). The Diagnostic Interview for Psychoses (DIP): development, reliability and applications. Psychological Medicine 36, 6980.CrossRefGoogle ScholarPubMed
Ceccarini, J, Kuepper, R, Kemels, D, van Os, J, Henquet, C, Van Laere, K (2015). [18F]MK-9470 PET measurement of cannabinoid CB1 receptor availability in chronic cannabis users. Addiction Biology 20, 357367.Google Scholar
Chopra, RN, Chopra, GS (1940). Present position of hemp drug addiction in India. British Journal of Inebriety 38, 7174.Google Scholar
Correll, C, Frederickson, A, Kane, J, Manu, P (2006). Metabolic syndrome and the risk of coronary heart disease in 367 patients treated with second-generation antipsychotic drugs. Journal of Clinical Psychiatry 67, 575583.CrossRefGoogle ScholarPubMed
Cota, D, Sandoval, DA, Olivieri, M, Prodi, E, D'Alessio, DA, Woods, SC, Seeley, RJ, Obici, S (2009). Food intake-independent effects of CB1 antagonism on glucose and lipid metabolism. Obesity 17, 16411645.Google Scholar
Craig, CL, Marshall, AL, Sjostrom, M, Bauman, AE, Booth, ML, Ainsworth, BE, Pratt, M, Kelund, U, Agneta, Y, Sallis, JF, Oja, P (2003). International Physical Activity Questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise 35, 13811395.CrossRefGoogle ScholarPubMed
D'Souza, DC, Ranganathan, M, Braley, G, Gueorguieva, R, Zimolo, Z, Cooper, T, Perry, E, Krystal, J (2008). Blunted psychotomimetic and amnestic effects of Δ-9-tetrahydrocannabinol in frequent users of cannabis. Neuropsychopharmacology 33, 25052516.Google Scholar
Després, J-P, Golay, A, Sjöström, L (2005). Effects of rimonabant on metabolic risk factors in overweight patients with dyslipidemia. New England Journal of Medicine 353, 21212134.Google Scholar
Di Marzo, V (2008). The endocannabinoid system in obesity and type 2 diabetes. Diabetologia 51, 13561367.Google Scholar
Galleano, M, Calabro, V, Prince, PD, Litterio, MC, Piotrkowski, B, Vazquez-Prieto, MA, Miatello, RM, Oteiza, PI, Fraga, CG (2012). Flavonoids and metabolic syndrome. Annals of the New York Academy of Sciences 1259, 8794.Google Scholar
Galletly, CA, Foley, DL, Waterreus, A, Watts, GF, Castle, DJ, McGrath, JJ, Mackinnon, A, Morgan, VA (2012). Cardiometabolic risk factors in people with psychotic disorders: the second Australian national survey of psychosis. Australian and New Zealand Journal of Psychiatry 46, 753761.Google Scholar
Green, B, Young, R, Kavanagh, D (2005). Cannabis use and misuse prevalence among people with psychosis. British Journal of Psychiatry 187, 306313.CrossRefGoogle ScholarPubMed
Gunasekaran, N, Long, L, Dawson, B, Hansen, G, Richardson, D, Li, K, Arnold, J, McGregor, I (2009). Reintoxication: the release of fat-stored Δ9-tetrahydrocannabinol (THC) into blood is enhanced by food deprivation or ACTH exposure. British Journal of Pharmacology 158, 13301337.Google Scholar
Hayatbakhsh, MR, O'Callaghan, MJ, Mamun, AA, Williams, GM, Clavarino, A, Najman, JM (2010). Cannabis use and obesity and young adults. American Journal of Drug and Alcohol Abuse 36, 350356.Google Scholar
Hirvonen, J, Goodwin, R, Li, C-T, Terry, G, Zoghbi, S, Morse, C, Pike, V, Volkow, N, Huestis, M, Innis, R (2011). Reversible and regionally selective downregulation of brain cannabinoid CB1 receptors in chronic daily cannabis smokers. Molecular Psychiatry 17, 642649.Google Scholar
Jablensky, A, McGrath, J, Herrman, H, Castle, D, Gureje, O, Evans, M, Carr, V, Morgan, V, Korten, A, Harvey, C (2000). Psychotic disorders in urban areas: an overview of the study on low prevalence disorders. Australian and New Zealand Journal of Psychiatry 34, 221236.CrossRefGoogle Scholar
John, AP, Koloth, R, Dragovic, M, Lim, SC (2009). Prevalence of metabolic syndrome among Australians with severe mental illness. Medical Journal of Australia 190, 176179.Google Scholar
Laursen, TM (2011). Life expectancy among persons with schizophrenia or bipolar affective disorder. Schizophrenia Research 131, 101104.Google Scholar
Lawrence, DM, Holman, CDaJ, Jablensky, AV, St Hobbs, M (2003). Death rate from ischaemic heart disease in Western Australian psychiatric patients 1980–1998. British Journal of Psychiatry 182, 3136.Google Scholar
Le Foll, B, Trigo, JM, Sharkey, KA, Strat, YL (2013). Cannabis and Δ9-tetrahydrocannabinol (THC) for weight loss? Medical Hypotheses 80, 564567.Google Scholar
Le Strat, Y, Le Foll, B (2011). Obesity and cannabis use: results from 2 representative national surveys. American Journal of Epidemiology 174, 929933.CrossRefGoogle ScholarPubMed
Lichtman, A, Martin, B (2005). Cannabinoid tolerance and dependence. Handbook of Experimental Psychology 168, 691717.Google Scholar
McCullough, ML, Peterson, JJ, Patel, R, Jacques, PF, Shah, R, Dwyer, JT (2012). Flavonoid intake and cardiovascular disease mortality in a prospective cohort of US adults. American Journal of Clinical Nutrition 95, 454464.Google Scholar
McEvoy, JP, Meyer, JM, Goff, DC, Nasrallah, HA, Davis, SM, Sullivan, L, Meltzer, HY, Hsiao, J, Scott Stroup, T, Lieberman, JA (2005). Prevalence of the metabolic syndrome in patients with schizophrenia: baseline results from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial and comparison with national estimates from NHANES III. Schizophrenia Research 80, 1932.Google Scholar
Meier, MH, Caspi, A, Ambler, A, Harrington, H, Houts, R, Keefe, RSE, McDonald, K, Ward, A, Poulton, R, Moffitt, TE (2012). Persistent cannabis users show neuropsychological decline from childhood to midlife. Proceedings of the National Academy of Sciences 109, E2657E2664.CrossRefGoogle ScholarPubMed
Morgan, VA, McGrath, JJ, Jablensky, A, Badcock, JC, Waterreus, A, Bush, R, Carr, V, Castle, D, Cohen, M, Galletly, C, Harvey, C, Hocking, B, McGorry, P, Neil, AL, Saw, S, Shah, S, Stain, HJ, Mackinnon, A (2014). Psychosis prevalence and physical, metabolic and cognitive co-morbidity: data from the second Australian national survey of psychosis. Psychological Medicine 44, 21632176.CrossRefGoogle ScholarPubMed
Morgan, VA, Waterreus, A, Jablensky, A, Mackinnon, A, McGrath, JJ, Carr, V, Bush, R, Castle, D, Cohen, M, Harvey, C (2012). People living with psychotic illness in 2010: the second Australian national survey of psychosis. Australian and New Zealand Journal of Psychiatry 46, 735752.CrossRefGoogle ScholarPubMed
Muniyappa, R, Sable, S, Ouwerkerk, R, Mari, A, Gharib, AM, Walter, M, Courville, A, Hall, G, Chen, KY, Volkow, ND, Kunos, G, Huestis, MA, Skarulis, MC (2013). Metabolic effects of chronic cannabis smoking. Diabetes Care 36, 24152422.Google Scholar
Pagotto, U, Marsicano, G, Cota, D, Lutz, B, Pasquali, R (2006). The emerging role of the endocannabinoid system in endocrine regulation and energy balance. Endocrine Reviews 27, 73100.Google Scholar
Park, Y-W, Zhu, S, Palaniappan, L, Heshka, S, Carnethon, MR, Heymsfield, SB (2003). The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988–1994. Archives of Internal Medicine 163, 427436.Google Scholar
Penner, EA, Buettner, H, Mittleman, MA (2013). The impact of marijuana use on glucose, insulin, and insulin resistance among US adults. American Journal of Medicine 126, 583589.Google Scholar
Pertwee, RG (2008). The diverse CB1 and CB2 receptor pharmacology of three plant cannabinoids: Δ9-tetrahydrocannabinol, cannabidiol and Δ9-tetrahydrocannabivarin. British Journal of Pharmacology 153, 199215.Google Scholar
Rajavashisth, TB, Shaheen, M, Norris, KC, Pan, D, Sinha, SK, Ortega, J, Friedman, TC (2012). Decreased prevalence of diabetes in marijuana users: cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) III. BMJ Open 2, e000494.Google Scholar
Randolph, C, Tierney, MC, Mohr, E, Chase, TN (1998). The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): preliminary clinical validity. Journal of Clinical and Experimental Neuropsychology 20, 310319.Google Scholar
Rodondi, N, Pletcher, MJ, Liu, K, Hulley, SB, Sidney, S (2006). Marijuana use, diet, body mass index, and cardiovascular risk factors (from the CARDIA study). American Journal of Cardiology 98, 478484.Google Scholar
Roxburgh, A, Hall, WD, Degenhardt, L, McLaren, J, Black, E, Copeland, J, Mattick, RP (2010). The epidemiology of cannabis use and cannabis-related harm in Australia 1993–2007. Addiction 105, 10711079.Google Scholar
Saari, KM, Lindeman, SM, Viilo, KM, Isohanni, MK, Järvelin, M-R, Lauren, LH, Savolainen, MJ, Koponen, HJ (2005). A 4-fold risk of metabolic syndrome in patients with schizophrenia: the Northern Finland 1966 Birth Cohort study. Journal of Clinical Psychiatry 66, 559563.CrossRefGoogle ScholarPubMed
Saha, S, Chant, D, McGrath, J (2007). A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Archives of General Psychiatry 64, 11231131.CrossRefGoogle ScholarPubMed
Saunders, JB, Aasland, OG, Babor, TF, de la Fuente, JR, Grant, M (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction 88, 791804.Google Scholar
Singh, N, Vrat, S, Ali, B, Bhargava, K (1981). An assessment of biological effects of chronic use of cannabis marihuana in human subjects. Pharmaceutical Biology 19, 8191.Google Scholar
Smit, E, Crespo, CJ (2001). Dietary intake and nutritional status of US adult marijuana users: results from the Third National Health and Nutrition Examination Survey. Public Health Nutrition 4, 781786.Google Scholar
Teixeira, D, Pestana, D, Faria, A, Calhau, C, Azevedo, I, Monteiro, R (2010). Modulation of adipocyte biology by Δ9-tetrahydrocannabinol. Obesity 18, 20772085.Google Scholar
Tetrault, JM, Crothers, K, Moore, BA, Mehra, R, Concato, J, Fiellin, DA (2007). Effects of marijuana smoking on pulmonary function and respiratory complications: a systematic review. Archives of Internal Medicine 167, 221228.Google Scholar
Van Gaal, LF, Rissanen, AM, Scheen, AJ, Ziegler, O, Rössner, S (2005). Effects of the cannabinoid-1 receptor blocker rimonabant on weight reduction and cardiovascular risk factors in overweight patients: 1-year experience from the RIO-Europe study. Lancet 365, 13891397.Google Scholar
Wargent, ET, Zaibi, MS, Silvestri, C, Hislop, DC, Stocker, CJ, Stott, CG, Guy, GW, Duncan, M, Di Marzo, V, Cawthorne, MA (2013). The cannabinoid Δ9-tetrahydrocannabivarin (THCV) ameliorates insulin sensitivity in two mouse models of obesity. Nutrition and Diabetes 3, e68.Google Scholar
Weiss, L, Zeira, M, Reich, S, Har-Noy, M, Mechoulam, R, Slavin, S, Gallily, R (2006). Cannabidiol lowers incidence of diabetes in non-obese diabetic mice. Autoimmunity 39, 143151.Google Scholar
Wing, JK, Babor, T, Brugha, T, Burke, J, Cooper, J, Giel, R, Jablenski, A, Regier, D, Sartorius, N (1990). SCAN: Schedules for Clinical Assessment in Neuropsychiatry. Archives of General Psychiatry 47, 589593.Google Scholar
World Health Organization (2000). Obesity: Preventing and Managing the Global Epidemic. World Health Organization: Geneva.Google Scholar
Supplementary material: File

Waterreus supplementary material

Tables S1-S2

Download Waterreus supplementary material(File)
File 91.1 KB