Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Effects of probiotics and paraprobiotics on subjective and objective sleep metrics: a systematic review and meta-analysis

Abstract

Inadequate sleep (i.e., duration and/or quality) is becoming increasingly recognized as a global public health issue. Interaction via the gut-brain axis suggests that modification of the gut microbial environment via supplementation with live microorganisms (probiotics) or nonviable microorganisms/microbial cell fractions (paraprobiotics) may improve sleep health. This systematic review and meta-analysis aimed to clarify the effect of consuming probiotics/paraprobiotics on subjective and objective sleep metrics. Online databases were searched from 1980 to October 2019 for studies involving adults who consumed probiotics or paraprobiotics in controlled trials, during which, changes in subjective and/or objective sleep parameters were examined. A total of 14 studies (20 trials) were included in meta-analysis. Random effects meta-analyses indicated that probiotics/paraprobiotics supplementation significantly reduced Pittsburgh Sleep Quality Index (PSQI) score (i.e., improved sleep quality) relative to baseline (−0.78-points, 95% confidence interval: 0.395–1.166; p < 0.001). No significant effect was found for changes on other subjective sleep scales, nor objective parameters of sleep (efficiency/latency) measured using polysomnography or actigraphy. Subgroup analysis for PSQI data suggested that the magnitude of the effect was greater (although not statistically) in healthy participants than those with a medical condition, when treatment contained a single (rather than multiple) strain of probiotic bacteria, and when the duration of treatment was ≥8 weeks. Probiotics/paraprobiotics supplementation may have some efficacy in improving perceived sleep health, measured using the PSQI. While current evidence does not support a benefit of consuming probiotics/paraprobiotics when measured by other subjective sleep scales, nor objective measures of sleep; more studies using well-controlled, within-subject experimental designs are needed.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2: Forest plot displaying the effect of consuming probiotics/paraprobiotics treatment vs. placebo on Δ PSQI score.
Fig. 3: Forest plot displaying the effect of consuming probiotics/paraprobiotics vs. placebo on subjective sleep ratings (OSA, VAS, ESS, mESS).
Fig. 4: Forest plot displaying the effect of consuming probiotics/paraprobiotics vs. placebo on sleep efficiency (%) determined by objective measures (EEG and Actigraphy).
Fig. 5: Forest plot displaying the effect of consuming probiotics/paraprobiotics vs. placebo on sleep latency (min) determined by objective measures (EEG and Actigraphy).

Similar content being viewed by others

References

  1. Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Joint consensus statement of the American academy of sleep medicine and sleep research society on the recommended amount of sleep for a healthy adult: methodology and discussion. Sleep. 2015;38:1161–83.

    Google Scholar 

  2. Institute of Medicine (US) Committee on Sleep Medicine and Research. Sleep disorders and sleep deprivation: an unmet public health problem. Washington DC, USA: National Academies Press; 2006.

  3. Chattu VK, Manzar MD, Kumary S, Burman D, Spence DW, Pandi-Perumal SR. The global problem of insufficient sleep and its serious public health implications. Healthcare. 2018;7:1–16.

    Google Scholar 

  4. Elder BL, Ammar EM, Pile D. Sleep duration, activity levels, and measures of obesity in adults. Public Health Nurs. 2016;33:200–5.

    Google Scholar 

  5. Ferrie JE, Kivimaki M, Akbaraly TN, Tabak A, Abell J, Davey Smith G, et al. Change in sleep duration and type 2 diabetes: the Whitehall II study. Diabetes Care. 2015;38:1467–72.

    Google Scholar 

  6. Kita T, Yoshioka E, Satoh H, Saijo Y, Kawaharada M, Okada E, et al. Short sleep duration and poor sleep quality increase the risk of diabetes in Japanese workers with no family history of diabetes. Diabetes Care. 2012;35:313–8.

    Google Scholar 

  7. Tobaldini E, Costantino G, Solbiati M, Cogliati C, Kara T, Nobili L, et al. Sleep, sleep deprivation, autonomic nervous system and cardiovascular diseases. Neurosci Biobehav Rev. 2017;74:321–9.

    Google Scholar 

  8. Kakizaki M, Kuriyama S, Sone T, Ohmori-Matsuda K, Hozawa A, Nakaya N, et al. Sleep duration and the risk of breast cancer: the Ohsaki Cohort Study. Br J Cancer. 2008;99:1502–5.

    CAS  Google Scholar 

  9. Naismith SL, Rogers NL, Lewis SJ, Terpening Z, Ip T, Diamond K, et al. Sleep disturbance relates to neuropsychological functioning in late-life depression. J Affect Disord. 2011;132:139–45.

    Google Scholar 

  10. Adams RJ, Appleton SL, Taylor AW, Gill TK, Lang C, McEvoy RD, et al. Sleep health of Australian adults in 2016: results of the 2016 Sleep Health Foundation national survey. Sleep Health. 2017;3:35–42.

    Google Scholar 

  11. Liu Y, Wheaton AG, Chapman DP, Cunningham TJ, Lu H, Croft JB. Prevalence of Healthy Sleep Duration among Adults—United States, 2014. Morb Mortal Wkly Rep. 2016;65:137–41.

    Google Scholar 

  12. The Sleep Council. The Great British bedtime report. United Kingdom; 2017. Available from: https://sleepcouncil.org.uk/wpcontent/uploads/2018/04/The-Great-British-Bedtime-Report-2017.pdf. Accessed 14 Nov 2019.

  13. Medic G, Wille M, Hemels ME. Short- and long-term health consequences of sleep disruption. Nat Sci Sleep. 2017;9:151–61.

    Google Scholar 

  14. Sleep Health Foundation. Asleep on the job: costs of inadequate sleep in Australia. ACT, Australia; 2017. Available from: https://www.sleephealthfoundation.org.au/files/Asleep_on_the_job/Asleep_on_the_Job_SHF_report-WEB_small.pdf. Accessed 10 Nov 2019.

  15. Hafner M, Stepanek M, Taylor J, Troxel WM, van Stolk C. Why sleep matters—the economic costs of insufficient sleep: a cross-country comparative analysis. Rand Health Q. 2017;6:11.

    Google Scholar 

  16. Grandner MA, Jackson NJ, Izci-Balserak B, Gallagher RA, Murray-Bachmann R, Williams NJ, et al. Social and behavioral determinants of perceived insufficient sleep. Front Neurol. 2015;6:1–14.

    Google Scholar 

  17. Hale L, Emanuele E, James S. Recent updates in the social and environmental determinants of sleep health. Curr Sleep Med Rep. 2015;1:212–7.

    Google Scholar 

  18. Park JB, Nakata A, Swanson NG, Chun H. Organizational factors associated with work-related sleep problems in a nationally representative sample of Korean workers. Int Arch Occup Environ Health. 2013;86:211–22.

    Google Scholar 

  19. Vézina-Im L-A, Moreno JP, Thompson D, Nicklas TA, Baranowski T. Individual, social and environmental determinants of sleep among women: protocol for a systematic review and meta-analysis. BMJ Open. 2017;7:e016592.

    Google Scholar 

  20. Espiritu JRD. Aging-related sleep changes. Clin Geriatr Med. 2008;24:1–14.

    Google Scholar 

  21. LeBlanc M, Mérette C, Savard J, Ivers H, Baillargeon L, Morin CM. Incidence and risk factors of insomnia in a population-based sample. Sleep. 2009;32:1027–37.

    Google Scholar 

  22. Shrivastava D, Jung S, Saadat M, Sirohi R, Crewson K. How to interpret the results of a sleep study. J Community Hosp Intern Med Perspect. 2014;4:24983.

    Google Scholar 

  23. Marino M, Li Y, Rueschman MN, Winkelman JW, Ellenbogen JM, Solet JM, et al. Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. Sleep. 2013;36:1747–55.

    Google Scholar 

  24. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193–213.

    CAS  Google Scholar 

  25. Johns MW. A new method for measuring daytime sleepiness: the epworth sleepiness scale. Sleep. 1991;14:540–5.

    CAS  Google Scholar 

  26. Yamamoto Y. Standardization of revised version of OSA sleep inventory for middle age and aged. Brain Sci Ment Dis. 1999;10:401–9.

    Google Scholar 

  27. Aili K, Astrom-Paulsson S, Stoetzer U, Svartengren M, Hillert L. Reliability of actigraphy and subjective sleep measurements in adults: the design of sleep assessments. J Clin Sleep Med. 2017;13:39–47.

    Google Scholar 

  28. Schutte-Rodin S, Broch L, Buysse D, Dorsey C, Sateia M. Clinical guideline for the evaluation and management of chronic insomnia in adults. J Clin Sleep Med. 2008;4:487–504.

    Google Scholar 

  29. Milner CE, Belicki K. Assessment and treatment of insomnia in adults: a guide for clinicians. J Couns Devel. 2010;88:236–44.

    Google Scholar 

  30. Krystal AD. A compendium of placebo-controlled trials of the risks/benefits of pharmacological treatments for insomnia: The empirical basis for U.S. clinical practice. Sleep Med Rev. 2009;13:265–74.

    Google Scholar 

  31. Attele AS, Xie JT, Yuan CS. Treatment of insomnia: an alternative approach. Alter Med Rev. 2000;5:249–59.

    CAS  Google Scholar 

  32. Leach MJ, Page AT. Herbal medicine for insomnia: a systematic review and meta-analysis. Sleep Med Rev. 2015;24:1–12.

    Google Scholar 

  33. Pearson NJ, Johnson LL, Nahin RL. Insomnia, trouble sleeping, and complementary and alternative medicine: analysis of the 2002 national health interview survey data. Arch Intern Med. 2006;166:1775–82.

    Google Scholar 

  34. Merritt SL, Gyllenhaal C, Peterson SD, Block KI, Gochenour T. Herbal remedies: efficacy in controlling sleepiness and promoting sleep. Nurse Pr Forum. 2000;11:87–100.

    CAS  Google Scholar 

  35. Lakhan SE, Vieira KF. Nutritional and herbal supplements for anxiety and anxiety-related disorders: systematic review. Nutr J. 2010;9:42–56.

    Google Scholar 

  36. Food and Agriculture Organization/World Health Organization. Report of a joint FAO/WHO expert consultation on evaluation of health and nutritional properties of probiotics in food including powder milk with live lactic acid bacteria. World Health Organization and Food and Agriculture Organization of the United Nations. Cordoba, Argentia; 2001. Available from: http://www.fao.org/3/a-a0512e.pdf. Accessed 22 Oct 2019.

  37. de Almada CN, Almada CN, Martinez RCR, Sant’Ana AS. Paraprobiotics: evidences on their ability to modify biological responses, inactivation methods and perspectives on their application in foods. Trends Food Sci Technol. 2016;58:96–114.

    Google Scholar 

  38. Mayer EA, Tillisch K, Gupta A. Gut/brain axis and the microbiota. J Clin Invest. 2015;125:926–38.

    Google Scholar 

  39. Wallace CJK, Milev R. The effects of probiotics on depressive symptoms in humans: a systematic review. Ann Gen Psychiatry. 2017;16:1–10.

    Google Scholar 

  40. Benton D, Williams C, Brown A. Impact of consuming a milk drink containing a probiotic on mood and cognition. Eur J Clin Nutr. 2007;61:355–61.

    CAS  Google Scholar 

  41. Parkar SG, Kalsbeek A, Cheeseman JF. Potential role for the gut microbiota in modulating host circadian rhythms and metabolic health. Microorganisms. 2019;7:1–21.

    Google Scholar 

  42. Zhao D, Yu Y, Shen Y, Liu Q, Zhao Z, Sharma R, et al. Melatonin synthesis and function: evolutionary history in animals and plants. Front Endocrinol. 2019;10:1–16.

    Google Scholar 

  43. Wong RK, Yang C, Song GH, Wong J, Ho KY. Melatonin regulation as a possible mechanism for probiotic (VSL#3) in irritable bowel syndrome: a randomized double-blinded placebo study. Dig Dis Sci. 2015;60:186–94.

    CAS  Google Scholar 

  44. Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.

    Google Scholar 

  45. van Rosendal SP, Osborne MA, Fassett RG, Coombes JS. Guidelines for glycerol use in hyperhydration and rehydration associated with exercise. Sports Med. 2010;40:113–29.

    Google Scholar 

  46. Maher CG, Moseley AM, Sherrington C, Elkins MR, Herbert RD. A description of the trials, reviews, and practice guidelines indexed in the PEDro database. Phys Ther. 2008;88:1068–77.

    Google Scholar 

  47. Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds DJ, Gavaghan DJ, et al. Assessing the quality of reports of randomized clinical trials: is blinding necessary? Control Clin Trials. 1996;17:1–12.

    CAS  Google Scholar 

  48. Verhagen AP, de Vet HC, de Bie RA, Kessels AG, Boers M, Bouter LM, et al. The Delphi list: a criteria list for quality assessment of randomized clinical trials for conducting systematic reviews developed by Delphi consensus. J Clin Epidemiol. 1998;51:1235–41.

    CAS  Google Scholar 

  49. Higgins JP, Green S. Cochrane handbook for systematic reviews of interventions. Chichester, UK: John Wiley & Sons; 2011.

  50. Nishida K, Sawada D, Kuwano Y, Tanaka H, Sugawara T, Aoki Y, et al. Daily administration of paraprobiotic lactobacillus gasseri CP2305 ameliorates chronic stress-associated symptoms in Japanese medical students. J Funct Foods. 2017;36:112–21.

    Google Scholar 

  51. Cohen J. Statistical power analysis for behavioral sciences. NewYork, NY: Routledge; 1988.

    Google Scholar 

  52. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.

    Google Scholar 

  53. Shrivastava D, Jung S, Saadat M, Sirohi R, Crewson K. How to interpret the results of a sleep study. J Community Hosp Intern Med Perspect. 2014;4:1–4.

    Google Scholar 

  54. Durlak JA. How to select, calculate, and interpret effect sizes. J Pediatr Psychol. 2009;34:917–28.

    Google Scholar 

  55. Takada M, Nishida K, Gondo Y, Kikuchi-Hayakawa H, Ishikawa H, Suda K, et al. Beneficial effects of Lactobacillus casei strain Shirota on academic stress-induced sleep disturbance in healthy adults: a double-blind, randomised, placebo-controlled trial. Benef Microbes. 2017;8:153–62.

    CAS  Google Scholar 

  56. Khalesi S, Sun J, Buys N, Jayasinghe R. Effect of probiotics on blood pressure: a systematic review and meta-analysis of randomized, controlled trials. Hypertension. 2014;64:897–903.

    CAS  Google Scholar 

  57. Zhang Q, Wu Y, Fei X. Effect of probiotics on glucose metabolism in patients with type 2 diabetes mellitus: A meta-analysis of randomized controlled trials. Medicina. 2016;52:28–34.

    CAS  Google Scholar 

  58. Nikbakht E, Khalesi S, Singh I, Williams LT, West NP, Colson N. Effect of probiotics and synbiotics on blood glucose: a systematic review and meta-analysis of controlled trials. Eur J Nutr. 2018;57:95–106.

    Google Scholar 

  59. Nakagawa M, Yamamoto H, Kawaji M, Miura N, Wakame K, Endo T. Effects of lactic acid bacteria-containing foods on the quality of sleep: a placebo-controlled, double-blinded, randomized crossover study. Funct Food Health Dis. 2018;8:579–96.

    CAS  Google Scholar 

  60. Kato-Kataoka A, Nishida K, Takada M, Suda K, Kawai M, Shimizu K, et al. Fermented milk containing Lactobacillus casei strain shirota prevents the onset of physical symptoms in medical students under academic examination stress. Benef Microbes. 2016;7:153–6.

    CAS  Google Scholar 

  61. Marotta A, Sarno E, Del Casale A, Pane M, Mogna L, Amoruso A, et al. Effects of probiotics on cognitive reactivity, mood, and sleep quality. Front Psych. 2019;10:1–11.

    Google Scholar 

  62. Nakakita Y, Tsuchimoto N, Takata Y, Nakamura T. Effect of dietary heat-killed Lactobacillus brevis SBC8803 (SBL88™) on sleep: a non-randomised, double blind, placebo-controlled, and crossover pilot study. Benef Microbes. 2016;7:501–9.

    CAS  Google Scholar 

  63. Dhiman RK, Rana B, Agrawal S, Garg A, Chopra M, Thumburu KK, et al. Probiotic vsl#3 reduces liver disease severity and hospitalization in patients with cirrhosis: a randomized, controlled trial. Gastroenterology. 2014;147:1327–37.e3.

    CAS  Google Scholar 

  64. Diop L, Guillou S, Durand H. Probiotic food supplement reduces stress-induced gastrointestinal symptoms in volunteers: a double-blind, placebo-controlled, randomized trial. Nutr Res. 2008;28:1–5.

    CAS  Google Scholar 

  65. Majeed M, Nagabhushanam K, Arumugam S, Majeed S, Ali F. Bacillus coagulans MTCC 5856 for the management of major depression with irritable bowel syndrome: a randomised, double-blind, placebo controlled, multi-centre, pilot clinical study. Food Nutr Res. 2018;62:1–13.

    Google Scholar 

  66. Nishida K, Sawada D, Kawai T, Kuwano Y, Fujiwara S, Rokutan K. Para-psychobiotic Lactobacillus gasseri CP2305 ameliorates stress-related symptoms and sleep quality. J Appl Microbiol. 2017;123:1561–70.

    CAS  Google Scholar 

  67. Kelly JR, Allen AP, Temko A, Hutch W, Kennedy PJ, Farid N, et al. Lost in translation? The potential psychobiotic Lactobacillus rhamnosus (JB-1) fails to modulate stress or cognitive performance in healthy male subjects. Brain Behav Immun. 2017;61:50–9.

    CAS  Google Scholar 

  68. Monoi N, Matsuno A, Nagamori Y, Kimura E, Nakamura Y, Oka K, et al. Japanese sake yeast supplementation improves the quality of sleep: a double-blind randomised controlled clinical trial. J Sleep Res. 2016;25:116–23.

    Google Scholar 

  69. Sawada D, Kawai T, Nishida K, Kuwano Y, Fujiwara S, Rokutan K. Daily intake of Lactobacillus gasseri CP2305 improves mental, physical, and sleep quality among Japanese medical students enrolled in a cadaver dissection course. J Funct Foods. 2017;31:188–97.

    CAS  Google Scholar 

  70. Yamamura S, Morishima H, Kumano-go T, Suganuma N, Matsumoto H, Adachi H, et al. The effect of Lactobacillus helveticus fermented milk on sleep and health perception in elderly subjects. Eur J Clin Nutr. 2009;63:100–5.

    CAS  Google Scholar 

  71. Bernhardt V, Rothkotter HJ, Kasten E. Psychological stress in first year medical students in response to the dissection of a human corpse. GMS Z Med Ausbild. 2012;29:1–17.

    Google Scholar 

  72. Bob MH, Popescu CA, Armean MS, Suciu SM, Buzoianu AD. Ethical views, attitudes and reactions of Romanian medical students to the dissecting room. Rev Med Chir Soc Med Nat Iasi. 2014;118:1078–85.

    CAS  Google Scholar 

  73. Russa AD, Mligiliche L. Inspiring Tanzanian medical students into the profession: appraisal of cadaveric dissection stress and coping strategies. Ital J Anat Embryol. 2014;119:268–76.

    Google Scholar 

  74. Ehlers CL, Somes C, Seifritz E, Rivier JE. CRF/NPY interactions: a potential role in sleep dysregulation in depression and anxiety. Depress Anxiety. 1997;6:1–9.

    CAS  Google Scholar 

  75. Opp MR. Corticotropin-releasing hormone involvement in stressor-induced alterations in sleep and in the regulation of waking. Adv Neuroimmunol. 1995;5:127–43.

    CAS  Google Scholar 

  76. Lund HG, Reider BD, Whiting AB, Prichard JR. Sleep patterns and predictors of disturbed sleep in a large population of college students. J Adolesc Health. 2010;46:124–32.

    Google Scholar 

  77. Takada M, Nishida K, Kataoka-Kato A, Gondo Y, Ishikawa H, Suda K, et al. Probiotic Lactobacillus casei strain Shirota relieves stress-associated symptoms by modulating the gut-brain interaction in human and animal models. Neurogastroenterol Motil. 2016;28:1027–36.

    CAS  Google Scholar 

  78. Bravo JA, Forsythe P, Chew MV, Escaravage E, Savignac HM, Dinan TG, et al. Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve. Proc Natl Acad Sci USA. 2011;108:16050–5.

    CAS  Google Scholar 

  79. Lastella M, Lovell GP, Sargent C. Athletes’ precompetitive sleep behaviour and its relationship with subsequent precompetitive mood and performance. Eur J Sport Sci. 2014;14:S123–S30.

    Google Scholar 

  80. Geiger-Brown JM, Rogers VE, Liu W, Ludeman EM, Downton KD, Diaz-Abad M. Cognitive behavioral therapy in persons with comorbid insomnia: a meta-analysis. Sleep Med Rev. 2015;23:54–67.

    Google Scholar 

  81. Johns MW. Sleep propensity varies with behaviour and the situation in which it is measured: the concept of somnificity. J Sleep Res. 2002;11:61–7.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

All authors were involved in the conception and design of this review. CI and SK were responsible for collating manuscripts and retrieving data. CI conducted the analysis of the data. All authors contributed to the drafting and revising of the article, and the final approval of the published version of the manuscript.

Corresponding author

Correspondence to Christopher Irwin.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Irwin, C., McCartney, D., Desbrow, B. et al. Effects of probiotics and paraprobiotics on subjective and objective sleep metrics: a systematic review and meta-analysis. Eur J Clin Nutr 74, 1536–1549 (2020). https://doi.org/10.1038/s41430-020-0656-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41430-020-0656-x

This article is cited by

Search

Quick links