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Epidemiology and Population Health

Effect of cannabis and subproducts on anthropometric measures: a systematic review and meta-analysis

Subjects

Abstract

Background

Obesity poses a significant public health challenge. Research has examined the impact of cannabis and subproducts on health but varying results have hindered a consensus.

Aim

This study aimed to evaluated the effects of cannabis and subproducts on body measurements.

Methods

For searching randomized controlled trials evaluating cannabis and/or subproducts use and changes in anthropometric measures, a systematic search at MEDLINE, Embase, Cochrane Library and Web of Science was conducted until March 2023. The outcomes included changes in body weight, body mass index (BMI) and waist circumference (WC). Meta-analysis was realized using R software (version 4.2.1).

Results

In general, cannabis use reduced weight by 1.87 kg (95% CI: −3.71 to −0.03) and WC (mean difference = −2.19, 95% CI: −4.44 to 0.06). When examining subgroups, longer follow-up periods were associated with a more pronounced BMI reduction (mean difference = −1.10, 95% CI: −2.23 to 0.03). Cannabinoid CB1 exhibited an increase in body fat (mean difference = 1.70, 95% CI: 0.66–2.74).

Conclusion

These findings suggest that cannabis and subproducts could be considered adjuncts in obesity treatment by helping to reduce relevant anthropometric measurements.

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Fig. 1: Flowchart for the selection of studies, 2023.
Fig. 2: Forest plot of the differences in standard means and 95% confidence interval (CI) of the effect of cannabinoid therapeutic use on weight.
Fig. 3: Forest plot of the differences in standard means and 95% confidence interval (CI) of the effect of cannabinoid therapeutic use on waist circumference (WC).
Fig. 4: Forest plot of the differences in standard means and 95% confidence interval (CI) of the effect of cannabinoid therapeutic use on BMI by follow-up time.
Fig. 5: Forest plot of the differences in standard means and 95% confidence interval (CI) of the effect of cannabinoid therapeutic use on body fat by type of cannabinoids.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Safaei M, Sundararajan EA, Driss M, Boulila W, Shapi’i A. A systematic literature review on obesity: understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity. computers in biology and medicine. 2021;136. https://www.sciencedirect.com/science/article/pii/S0010482521005485.

  2. PAHO. World Obesity Day 2022: accelerating action to end obesity - PAHO/WHO | Pan American Health Organization. Pan American Health Organization; 2022 https://www.paho.org/pt/noticias/4-3-2022-dia-mundial-da-obesidade-2022-acelerar-acao-para-acabar-com-obesidade#:~:text=4%20de%20mar%C3%A7o%20de%202022.

  3. ABESO. Obesity map. Obesity and metabolic syndrome. Brazilian Association for the Study of Obesity and Metabolic Syndrome; 2023. https://abeso.org.br/obesidade-e-sindrome-metabolica/mapa-da-obesidade/.

  4. Haslam DW, James WPT. Obesity. Lancet. 2005;366:1197–209.

    Article  PubMed  Google Scholar 

  5. Gonzalo-Encabo P, Maldonado G, Valadés D, Ferragut C, Pérez-López A. The role of exercise training on low-grade systemic inflammation in adults with overweight and obesity: a systematic review. Int J Environ Res Public Health. 2021;18:13258.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Jakicic JM, Davis KK. Obesity and physical activity. Psychiatr Clin N Am. 2011;34:829–40. https://www.sciencedirect.com/science/article/abs/pii/S0193953X11000864?via%3Dihub.

    Article  Google Scholar 

  7. Aaseth J, Ellefsen S, Alehagen U, Sundfør TM, Alexander J. Diets and drugs for weight loss and health in obesity (an update). Biomed Pharmacother. 2021;140:111789.

    Article  CAS  PubMed  Google Scholar 

  8. Smith BR, Schauer P, Nguyen NT. Surgical approaches to the treatment of obesity: bariatric surgery. Endocrinol Metab Clin N Am. 2008;37:943–64.

    Article  Google Scholar 

  9. Bridgeman MB, Abazia DT. Medicinal cannabis: history, pharmacology, and implications for the acute care setting. Pharm Ther. 2017;3:180–8.

    Google Scholar 

  10. Lian J, Casari I, Falasca M. Modulatory role of the endocannabinoidome in the pathophysiology of the gastrointestinal tract. Pharmacol Res. 2022;175:106025 https://www.sciencedirect.com/science/article/pii/S1043661821006095.

    Article  CAS  PubMed  Google Scholar 

  11. de Souza TM. Vias metabólicas, Potencial Prático E Antagonismo Do Sistema canabinóide: Uma Revisão bibliográfica. [Monografia (Especialização) - Curso De Medicina]. Universidade Federal da Bahia (UFBA); 2012. p. 1–51.

  12. Bluher M, Engeli S, Kloting N, Berndt J, Fasshauer M, Batkai S, et al. Dysregulation of the peripheral and adipose tissue endocannabinoid system in human abdominal obesity. Diabetes. 2006;55:3053–60. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2228260/.

    Article  PubMed  Google Scholar 

  13. Engeli S, Böhnke J, Feldpausch M, Gorzelniak K, Janke J, Bátkai S, et al. Activation of the peripheral endocannabinoid system in human obesity. Diabetes. 2005;54:2838–43. https://www.ncbi.nlm.nih.gov/pubmed/16186383.

    Article  CAS  PubMed  Google Scholar 

  14. You T, Disanzo BL, Wang X, Yang R, Gong D. Adipose tissue endocannabinoid system gene expression: depot differences and effects of diet and exercise. Lipids Health Dis. 2011;10:194.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Cortes-Justo E, Garfias-Ramirez SH, Flores A. The function of the endocannabinoid system in the pancreatic islet and its implications on metabolic syndrome and diabetes. Islets. 2023;15:1–11.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Barré T, Bourlière M, Ramier C, Carrat F, Di Beo V, Protopopescu C, et al. Cannabis use is inversely associated with metabolic disorders in hepatitis c-infected patients (ANRS CO22 Hepather Cohort). J Clin Med. 2022;11:6135. https://www.mdpi.com/2077-0383/11/20/6135.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Abuhasira R, Azar S, Nemirovski A, Tam J, Novack V. Herbal cannabis use is not associated with changes in levels of endocannabinoids and metabolic profile alterations among older adults. Life. 2022;12:1539.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Kowalczuk A, Marycz K, Kornicka J, Groborz S, Meissner JM, Mularczyk M. Tetrahydrocannabivarin (THCV) protects adipose-derived mesenchymal stem cells (ASC) against endoplasmic reticulum stress development and reduces inflammation during adipogenesis. Int J Mol Sci. 2023;24:7120–0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Higgins J, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane handbook for systematic reviews of interventions. Vol 6.4. Cochrane; 2023. www.training.cochrane.org/handbook.

  20. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Br Med J. 2021;372:n71.

    Article  Google Scholar 

  21. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. systematic reviews. 2016;5. https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-016-0384-4.

  22. Barker TH, Stone JC, Sears K, Klugar M, Tufanaru C, Leonardi-Bee J, et al. The revised JBI critical appraisal tool for the assessment of risk of bias for randomized controlled trials. JBI Evid Synth 2023;21:494–506.

    Article  PubMed  Google Scholar 

  23. Khan Academy. Diferencias De Medias muestrales: Ejemplos De Probabilidad (artículo). Khan Academy; 2023. https://es.khanacademy.org/math/ap-statistics/sampling-distribution-ap/xfb5d8e68:sampling-distribution-diff-means/a/diff-sample-means-probability-examples.

  24. Borenstein M. Introduction to meta-analysis. Wiley, Chicester; 2009. https://www.wiley.com/en-us/Introduction+to+Meta+Analysis-p-9780470057247.

  25. Cochrane. How to do a cochrane systematic review. 2020. https://brazil.cochrane.org/como-fazer-uma-revis%C3%A3o-sistem%C3%A1tica-cochrane.

  26. Deeks J, Higgins J, Altman D. Chapter 10: analysing data and undertaking meta-analyses. 2019. https://training.cochrane.org/handbook/current/chapter-10.

  27. Lopez HL, Cesareo KR, Raub B, Kedia AW, Sandrock JE, Kerksick CM, et al. Effects of hemp extract on markers of wellness, stress resilience, recovery and clinical biomarkers of safety in overweight, but otherwise healthy subjects. J Diet Suppl. 2020;17:561–86. https://pubmed.ncbi.nlm.nih.gov/32456572/.

    Article  CAS  PubMed  Google Scholar 

  28. O’Leary DH, Reuwer AQ, Nissen SE, Despres JP, Deanfield JE, Brown MW, et al. Effect of rimonabant on carotid intima-media thickness (CIMT) progression in patients with abdominal obesity and metabolic syndrome: the AUDITOR trial. Heart. 2011;97:1143–50.

    Article  PubMed  Google Scholar 

  29. Bergholm R, Sevastianova K, Santos A, Kotronen A, Urjansson M, Hakkarainen A, et al. CB(1) blockade-induced weight loss over 48 weeks decreases liver fat in proportion to weight loss in humans. Int J Obes. 2013;37:699–703.

    Article  CAS  Google Scholar 

  30. Hollander PA, Amod A, Litwak LE, Chaudhari U. Effect of rimonabant on glycemic control in insulin-treated type 2 diabetes: the ARPEGGIO trial. Diabetes Care. 2010;33:605–7.

    Article  CAS  PubMed  Google Scholar 

  31. Van Gaal LF, Rissanen AM, Scheen AJ, Ziegler O, Rössner S. 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. 2005;365:1389–97.

    Article  PubMed  Google Scholar 

  32. Scheen AJ, Finer N, Hollander P, Jensen MD, Van, Gaal LF. Efficacy and tolerability of rimonabant in overweight or obese patients with type 2 diabetes: a randomised controlled study. Lancet. 2006;368:1660–72.

    Article  CAS  PubMed  Google Scholar 

  33. Pataky Z, Gasteyger C, Ziegler O, Rissanen A, Hanotin C, Golay A. Efficacy of rimonabant in obese patients with binge eating disorder. Exp Clin Endocrinol Diabetes. 2012;121:20–6.

    Article  PubMed  Google Scholar 

  34. Backhouse K, Šarac I, Shojaee‐Moradie F, Stolinski M, Robertson MD, Frost G, et al. Fatty acid flux and oxidation are increased by rimonabant in obese women. Metabolism. 2012;61:1220–3.

    Article  CAS  PubMed  Google Scholar 

  35. Van Gaal LF, Scheen AJ, Rissanen AM, Rössner S, Hanotin C, Ziegler O. Long-term effect of CB1 blockade with rimonabant on cardiometabolic risk factors: two year results from the RIO-Europe study. Eur Heart J. 2008;29:1761–71.

    Article  PubMed  Google Scholar 

  36. Alizadeh S, Djafarian K, Mofidi Nejad M, Yekaninejad MS, Javanbakht MH. The effect of β-caryophyllene on food addiction and its related behaviors: a randomized, double-blind, placebo-controlled trial. Appetite. 2022;178:106160.

    Article  PubMed  Google Scholar 

  37. Jadoon KA, Ratcliffe SH, Barrett DA, Thomas EL, Stott C, Bell JD, et al. Efficacy and safety of cannabidiol and tetrahydrocannabivarin on glycemic and lipid parameters in patients with type 2 diabetes: a randomized, double-blind, placebo-controlled, parallel group pilot study. Diabetes Care. 2016;39:1777–86. https://care.diabetesjournals.org/content/39/10/1777.

    Article  CAS  PubMed  Google Scholar 

  38. Carley DW, Prasad B, Reid KJ, Malkani R, Attarian H, Abbott SM, et al. Pharmacotherapy of apnea by cannabimimetic enhancement, the PACE clinical trial: effects of dronabinol in obstructive sleep apnea. Sleep. 2018;41:zsx184.

    Article  PubMed  Google Scholar 

  39. Cavalheiro EKFF, Costa AB, Salla DH, da Silva MR, Mendes TF, da Silva LE, et al. Cannabis Sativa as a treatment for obesity: from anti-inflammatory indirect support to a promising metabolic re-establishment target. Cannabis Cannabinoid Res. 2021;7:135–51.

    Article  PubMed  Google Scholar 

  40. Miralpeix C, Reguera AC, Fosch A, Zagmutt S, Casals N, Cota D, et al. Hypothalamic endocannabinoids in obesity: an old story with new challenges. Cell Mol Life Sci. 2021;78:7469–90. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557709/.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Xie S, Furjanic MA, Ferrara JJ, McAndrew NR, Ardino EL, Ngondara A, et al. The endocannabinoid system and rimonabant: a new drug with a novel mechanism of action involving cannabinoid CB1receptor antagonism? or inverse agonism ? as potential obesity treatment and other therapeutic use. J Clin Pharm Ther. 2007;32:209–31.

    Article  CAS  PubMed  Google Scholar 

  42. Kirkham T, Tucci S. Endocannabinoids in appetite control and the treatment of obesity. CNS Neurol Disord Drug Targets. 2006;5:275–92.

    Article  CAS  Google Scholar 

  43. Nuesch E, Trelle S, Reichenbach S, Rutjes AWS, Tschannen B, Altman DG, et al. Small study effects in meta-analyses of osteoarthritis trials: meta-epidemiological study. BMJ. 2010;341:c3515–5.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Batinic A, Sutlović D, Kuret S, Burčul F, Kalajžić N, Matana A, et al. Differences in plasma cannabidiol concentrations in women and men: a randomized, placebo-controlled, crossover study. Int J Mol Sci. 2023;24:10273–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Hammond S, Erridge S, Mangal N, Pacchetti B, Sodergren MH. The effect of cannabis-based medicine in the treatment of cachexia: a systematic review and meta-analysis. Cannabis Cannabinoid Res. 2021;6:474–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Hill KP, Gold MS, Nemeroff CB, McDonald W, Grzenda A, Widge AS, et al. Risks and benefits of cannabis and cannabinoids in psychiatry. Am J Psychiatry. 2022;179:98–109.

    Article  PubMed  Google Scholar 

  47. van Enst WA, Naaktgeboren CA, Ochodo EA, de Groot JA, Leeflang MM, Reitsma JB, et al. Small-study effects and time trends in diagnostic test accuracy meta-analyses: a meta-epidemiological study. Syst Rev. 2015;4:66.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Scheen AJ, Paquot N. Use of cannabinoid CB1 receptor antagonists for the treatment of metabolic disorders. Best Pract Res Clin Endocrinol Metab. 2009;23:103–16.

    Article  CAS  PubMed  Google Scholar 

  49. Dechartres A, Trinquart L, Boutron I, Ravaud P. Influence of trial sample size on treatment effect estimates: meta-epidemiological study. BMJ. 2013;346:f2304–4.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This study used data that was made available on public websites and electronic data banks. The Brazilian government gained access to the Embase platform (via the CAPES website).

Funding

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - code 001.

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Authors and Affiliations

Authors

Contributions

AJFF and NSG developed the study’s concept and projected it. Direct access to DRT, MGR, AJFF, and NSG; data verification and analysis. MGR and NSG wrote the first paragraph of the manuscript. All of the authors contributed to the interpretation of the data, reviewed and edited the manuscript. NSG oversaw the research process. All of the authors had complete access to all of the study’s data and were ultimately responsible for the decision to submit them for publication.

Corresponding author

Correspondence to Nathalia Sernizon Guimarães.

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The authors declare no competing interests.

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Appendix A. Search

Search(10th March 2023)

“Cannabidiol” (Cannabidiol - MeSH - NCBI (nih.gov)); “Cannabis” (Cannabis - MeSH - NCBI (nih.gov)); Composição Corporal - MeSH - NCBI (nih.gov); Distribuição de gordura corporal - MeSH - NCBI (nih.gov); Índice de Massa Corporal (Body Mass Index - MeSH - NCBI (nih.gov)); “Excesso de peso” (Excesso de peso - MeSH - NCBI (nih.gov)); Obesidade (Obesidade - MeSH - NCBI (nih.gov)), Densidade óssea - MeSH - NCBI (nih.gov); Fraturas Ósseas - MeSH - NCBI (nih.gov); Sarcopenia - MeSH - NCBI (nih.gov).

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Reis, M.G., Ferreira, A.J.F., Sohouli, M.H. et al. Effect of cannabis and subproducts on anthropometric measures: a systematic review and meta-analysis. Int J Obes 48, 44–54 (2024). https://doi.org/10.1038/s41366-023-01399-x

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