Prevalence and 20-year trends in meditation, yoga, guided imagery and progressive relaxation use among US adults from 2002 to 2022
Kessler, R. C. et al. Long-term trends in the use of complementary and alternative medical therapies in the United States. Ann. Intern Med. 135(4), 262–268. (2001).
Google Scholar
Nahin, R. L., Rhee, A. & Stussman, B. Use of complementary health approaches overall and for pain management by US adults. JAMA. 331(7), 613–615. (2024).
Google Scholar
Barnes, P. M., Bloom, B. & Nahin, R. L. Complementary and alternative medicine use among adults and children: United States, 2007. Natl. Health Stat. Report. 12, 1–23 (2008).
Clarke, T. C., Black, L. I., Stussman, B. J., Barnes, P. M. & Nahin, R. L. Trends in the use of complementary health approaches among adults: United States, 2002–2012. Natl. Health Stat. Report. 79, 1–16 (2015).
Clarke, T. C., Barnes, P. M., Black, L. I., Stussman, B. J. & Nahin, R. L. Use of yoga, meditation, and chiropractors among U.S. adults aged 18 and over. NCHS Data Brief. 325, 1–8 (2018).
Macinko, J. & Upchurch, D. M. Factors associated with the use of meditation, US adults 2017. J. Altern. Compl. Med. 25(9), 920–927. (2019).
Google Scholar
Okoro, C. A., Zhao, G., Li, C. & Balluz, L. S. Has the use of complementary and alternative medicine therapies by U.S. adults with chronic disease-related functional limitations changed from 2002 to 2007?. J. Altern. Compl. Med. 19(3), 217–223. (2013).
Google Scholar
Zhang, Y., Lauche, R., Cramer, H., Munk, N. & Dennis, J. A. Increasing trend of yoga practice among U.S. adults from 2002 to 2017. J. Altern. Compl. Med. 27(9), 778–785. (2021).
Google Scholar
Ng, J. Y. et al. The brief history of complementary, alternative, and integrative medicine terminology and the development and creation of an operational definition. Integr. Med. Res. 12(4), 100978. (2023).
Google Scholar
Galante, J., Friedrich, C., Dalgleish, T., Jones, P. B. & White, I. R. Systematic review and individual participant data meta-analysis of randomized controlled trials assessing mindfulness-based programs for mental health promotion. Nat. Mental Health. 1(7), 462–476. (2023).
Google Scholar
Goldberg, S. B., Riordan, K. M., Sun, S. & Davidson, R. J. The empirical status of mindfulness-based interventions: A systematic review of 44 meta-analyses of randomized controlled trials. Perspect. Psychol. Sci. 17(1), 108–130. (2022).
Google Scholar
Hendriks, T., de Jong, J. & Cramer, H. The effects of yoga on positive mental health among healthy adults: A systematic review and meta-analysis. J. Altern. Compl. Med. 23(7), 505–517. (2017).
Google Scholar
Leichsenring, F., Steinert, C., Rabung, S. & Ioannidis, J. P. A. The efficacy of psychotherapies and pharmacotherapies for mental disorders in adults: an umbrella review and meta-analytic evaluation of recent meta-analyses. World Psychiatry. 21(1), 133–145. (2022).
Google Scholar
Shapiro, S. & Weisbaum, E. History of mindfulness and psychology. Oxford Res. Encyclopedia Psychol. (2020).
Google Scholar
Eisenberg, D. M. et al. Trends in alternative medicine use in the United States, 1990–1997: Results of a follow-up national survey. JAMA. 280(18), 1569–1575. (1998).
Google Scholar
Mbizo, J. et al. Complementary and alternative medicine use among persons with multiple chronic conditions: Results from the 2012 national health interview survey. BMC Compl. Altern. Med. 18, 281. (2018).
Google Scholar
Falci, L., Shi, Z. & Greenlee, H. Multiple chronic conditions and use of complementary and alternative medicine among US adults: Results from the 2012 national health interview survey. Prev. Chronic. Dis. 13, E61. (2016).
Google Scholar
Maria Helha, F. N. & Wang, Y. P. Trends in complementary and alternative medicine for the treatment of common mental disorders: A bibliometric analysis of two decades. Compl. Therapies Clin. Practice. 46, 101531. (2022).
Google Scholar
Chetry, D., Telles, S. & Balkrishna, A. A pubmed-based exploration of the course of yoga research from 1948 to 2020. Int. J. Yoga Therapy (2021).
Google Scholar
Baminiwatta, A. & Solangaarachchi, I. Trends and developments in mindfulness research over 55 years: A bibliometric analysis of publications indexed in web of science. Mindfulness 12(9), 2099–2116. (2021).
Google Scholar
Van Dam, N. T. et al. Mind the hype: A critical evaluation and prescriptive agenda for research on mindfulness and meditation. Perspect. Psychol. Sci. 13(1), 36–61. (2018).
Google Scholar
Astin, J. A. Why patients use alternative medicineresults of a national study. JAMA 279(19), 1548–1553. (1998).
Google Scholar
Hanssen, B. et al. Use of complementary and alternative medicine in the scandinavian countries. Scandinavian J. Primary Health Care. 23(1), 57–62. (2005).
Google Scholar
Ryan, A., Wilson, S., Taylor, A. & Greenfield, S. Factors associated with self-care activities among adults in the United Kingdom: A systematic review. BMC Public Health. 9(1), 96. (2009).
Google Scholar
Kristoffersen, A. E., Stub, T., Salamonsen, A., Musial, F. & Hamberg, K. Gender differences in prevalence and associations for use of CAM in a large population study. BMC Compl. Altern Med. 14(1), 463. (2014).
Google Scholar
Kronenberg, F., Cushman, L. F., Wade, C. M., Kalmuss, D. & Chao, M. T. Race/ethnicity and women’s use of complementary and alternative medicine in the United States: Results of a national survey. Am. J. Public Health. 96(7), 1236–1242. (2006).
Google Scholar
Graham, R. E. et al. Use of complementary and alternative medical therapies among racial and ethnic minority adults: results from the 2002 National Health Interview Survey. J. Natl. Med. Assoc. 97(4), 535–545 (2005).
Google Scholar
Cuellar, N., Aycock, T., Cahill, B. & Ford, J. Complementary and alternative medicine (CAM) use by african american (AA) and caucasian american (CA) older adults in a rural setting: A descriptive, comparative study. BMC Compl. Altern. Med. 3(1), 8. (2003).
Google Scholar
Watson, N. N., Black, A. R. & Hunter, C. D. African American women’s perceptions of mindfulness meditation training and gendered race-related stress. Mindfulness 7(5), 1034–1043. (2016).
Google Scholar
Torous, J., Myrick, K. J., Rauseo-Ricupero, N. & Firth, J. Digital mental health and COVID-19: Using technology today to accelerate the curve on access and quality tomorrow. JMIR Mental Health. 7(3), e18848. (2020).
Google Scholar
Ma, Y., Kraemer, K. M., Lyu, J. & Yeh, G. Y. Randomized controlled trials of mindfulness and acceptance-based interventions over the past two decades: A bibliometric analysis. J. Altern. Compl. Med. 27(11), 930–939. (2021).
Google Scholar
Torous, J. et al. The growing field of digital psychiatry: Current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry. 20(3), 318–335. (2021).
Google Scholar
Goldberg, S. B., Lam, S. U., Simonsson, O., Torous, J. & Sun, S. Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials. PLOS Digital Health. 1(1), e0000002. (2022).
Google Scholar
DeLuca, S. M., Kelman, A. R. & Waelde, L. C. A systematic review of ethnoracial representation and cultural adaptation of mindfulness- and meditation-based interventions. Psychol. Stud. 63(2), 117–129. (2018).
Google Scholar
Sun, S., Goldberg, S. B., Loucks, E. B. & Brewer, J. A. Mindfulness-based interventions among people of color: A systematic review and meta-analysis. Psychotherapy Res. 32(3), 277–290. (2022).
Google Scholar
Eichel, K. et al. A retrospective systematic review of diversity variables in mindfulness research, 2000–2016. Mindfulness 12(11), 2573–2592. (2021).
Google Scholar
Jiwani, Z. et al. Examining equity in access and utilization of a freely available meditation app. npj Mental Health Res. 2(1), 1–10. (2023).
Google Scholar
Lake, J. & Turner, M. S. Urgent need for improved mental health care and a more collaborative model of care. Perm. J. 21, 17–024. (2017).
Google Scholar
Nagata, J. M. et al. Prevalence and sociodemographic correlates of unmet need for mental health counseling among adults during the COVID-19 pandemic. PS. 73(2), 206–209. (2022).
Google Scholar
US Council of Economic Advisers. Reducing the Economic Burden of Unmet Mental Health Needs.; 2022. Accessed February 1, 2024. https://www.whitehouse.gov/cea/written-materials/2022/05/31/reducing-the-economic-burden-of-unmet-mental-health-needs/
Britton, W. B., Lindahl, J. R., Cooper, D. J., Canby, N. K. & Palitsky, R. Defining and measuring meditation-related adverse effects in mindfulness-based programs. Clin. Psychol. Sci. 9(6), 1185–1204. (2021).
Google Scholar
Goldberg, S. B., Lam, S. U., Britton, W. B. & Davidson, R. J. Prevalence of meditation-related adverse effects in a population-based sample in the United States. Psychotherapy Res. 32(3), 291–305. (2022).
Google Scholar
Van Dam, N. T., Targett, J., Burger, A., Davies, J. N. Galante, J. Development and Validation of the Inventory of Meditation Experiences (IME). Published online January 30, (2024). https://doi.org/10.31234/osf.io/3ht95
Lorenzo-Luaces, L., Wasil, A., Kacmarek, C. N. & DeRubeis, R. Race and socioeconomic status as predictors of willingness to use digital mental health interventions or one-on-one psychotherapy: National survey study. JMIR Formative Research. 8(1), e49780. (2024).
Google Scholar
Van Dam, N. T., Targett, J., Davies, J. N , Burger, A. Galante, J. Incidence and predictors of meditation-related unusual experiences and adverse effects in a representative sample of meditators in the United States. Published online May 14, (2024). https://doi.org/10.31234/osf.io/g7jr6
Cramer, H. et al. Prevalence, patterns, and predictors of meditation use among US adults: A nationally representative survey. Sci. Rep. 6, 36760. (2016).
Google Scholar
Carlson, L. E. Uptake of mindfulness-based interventions: A phenomenon of wealthy white western women?. Clin. Psychol. Sci. Practice. 25(3), e12258. (2018).
Google Scholar
Schröter, M. & Cramer, H. Prevalence and predictors of yogic breathing and meditation use – A nationally representative survey of US adult yoga practitioners. Compl. Ther Med. 56, 102617. (2021).
Google Scholar
National Center for Health Statistics. NHIS – About the National Health Interview Survey. Published March 3, (2022). Accessed November 22, 2023. https://www.cdc.gov/nchs/nhis/about_nhis.htm
Parsons, V., Moriarity, C. Jonas, K. Design and Estimation for the NHIS, 2006–2015. In: Vital Health Stat. 2. National Center for Health Statistics, (2014).
U.S. Census Bureau. 2020 Census. Published online 2020. Accessed November 13, 2023. https://www.census.gov/programs-surveys/decennial-census/decade/2020/2020-census-results.html
Lam, S. U., Xie, Q. & Goldberg, S. B. Situating meditation apps within the ecosystem of meditation practice: Population-based survey study. JMIR Ment. Health. 10, e43565. (2023).
Google Scholar
Statista. Meditation Apps – Worldwide: Statista Market Forecast. Statista. Accessed April 30, 2024. https://www.statista.com/outlook/hmo/digital-health/digital-fitness-well-being/health-wellness-coaching/meditation-apps/worldwide
Upchurch, D. M. & Johnson, P. J. Gender differences in prevalence, patterns, purposes, and perceived benefits of meditation practices in the United States. J. Womens Health (Larchmt). 28(2), 135–142. (2019).
Google Scholar
Buchanan, N. T., Perez, M., Prinstein, M. J. & Thurston, I. B. Upending racism in psychological science: Strategies to change how science is conducted, reported, reviewed, and disseminated. Am. Psychol. 76(7), 1097–1112. (2021).
Google Scholar
Johnson, L. C. M. et al. Feasibility, appropriateness, and acceptability of a mobile mindfulness meditation intervention to improve sleep quality among a racially/ethnically diverse population. Sleep Health. 9(2), 196–202. (2023).
Google Scholar
Mental Health America. The State of Mental Health in America 2023. Mental Health America. Published 2023. Accessed May 10, 2024. https://mhanational.org/issues/state-mental-health-america
Jacob, M. M. Yakama rising: Indigenous cultural revitalization, activism, and healing (University of Arizona Press, Arizona, 2013).
Mahajan, S. et al. Trends in differences in health status and health care access and affordability by race and ethnicity in the United States, 1999–2018. JAMA. 326(7), 637–648. (2021).
Google Scholar
Groden, S. R., Woodward, A. T., Chatters, L. M. & Taylor, R. J. Use of complementary and alternative medicine among older adults: Differences between baby boomers and pre-boomers. Am. J. Geriatr. Psychiatry. 25(12), 1393–1401. (2017).
Google Scholar
Institute of Medicine (US) Committee on the Future Health Care Workforce for Older Americans. Health Status and Health Care Service Utilization. In: Retooling for an Aging America: Building the Health Care Workforce. National Academies Press (US); 2008. Accessed January 29, 2024. https://www.ncbi.nlm.nih.gov/books/NBK215400/
Chételat, G. et al. Why could meditation practice help promote mental health and well-being in aging?. Alzheimer’s Res. Therapy. 10(1), 57. (2018).
Google Scholar
Klimecki, O. et al. The impact of meditation on healthy ageing — the current state of knowledge and a roadmap to future directions. Curr. Opin. Psychol. 28, 223–228. (2019).
Google Scholar
McCaw, C. T. Mindfulness ‘thick’ and ‘thin’— a critical review of the uses of mindfulness in education. Oxford Rev. Educ. 46(2), 257–278. (2020).
Google Scholar
Emerson, L. M., de Diaz, N. N., Sherwood, A., Waters, A. & Farrell, L. Mindfulness interventions in schools: Integrity and feasibility of implementation. Int. J. Behavioral Dev. 44(1), 62–75. (2020).
Google Scholar
Segal, S. C., Vyas, S. S. & Monson, C. M. A systematic review of mindfulness-based interventions in low-income schools. Mindfulness 12(6), 1316–1331. (2021).
Google Scholar
Jiwani, Z., Lam, S. U., Davidson, R. J. & Goldberg, S. B. Motivation for meditation and its association with meditation practice in a national sample of internet users. Mindfulness 13(10), 2641–2651. (2022).
Google Scholar
Sedlmeier, P. & Theumer, J. Why do people begin to meditate and why do they continue?. Mindfulness 11(6), 1527–1545. (2020).
Google Scholar
Cagas, J. Y., Biddle, S. J. H. & Vergeer, I. Why do people do yoga? Examining motives across different types of yoga participants. Int. J. Sport Exercise Psychol (2022).
Google Scholar
Park, C. L., Quinker, D., Dobos, G. & Cramer, H. Motivations for adopting and maintaining a yoga practice: A national cross-sectional survey. J. Alternative Compl. Med. 25(10), 1009–1014. (2019).
Google Scholar
Canales-Ronda, P., Küster-Boluda, I. & Vila-López, N. Healthy lifestyle and complementary and alternative medicine. Holist. Nurs. Pract. (2021).
Google Scholar
Gallup. Americans’ Reported Mental Health at New Low; More Seek Help. Gallup.com. Published December 21, 2022. Accessed February 9, 2024. https://news.gallup.com/poll/467303/americans-reported-mental-health-new-low-seek-help.aspx
National Center for Health Statistics. National Health Interview Survey, 2022 Survey Description.; 2023. https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2022/srvydesc-508.pdf
Klein, R. Schoenborn, C. Age Adjustment Using the 2000 Projected US Population, 2001. Hyattsville, MD: National Center for Health Statistics. Published online (2001) :2001-1237.
Bureau UC. 2010 Census Regions and Divisions of the United States. Census.gov. Accessed November 2, 2023. https://www.census.gov/geographies/reference-maps/2010/geo/2010-census-regions-and-divisions-of-the-united-states.html
Kessler, R. C. et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol. Med. 32(6), 959–976. (2002).
Google Scholar
Gilbody, S., Richards, D., Brealey, S. & Hewitt, C. Screening for depression in medical settings with the patient health questionnaire (PHQ): A diagnostic meta-analysis. J. Gen. Intern. Med. 22(11), 1596–1602. (2007).
Google Scholar
Batterham, P. J., Sunderland, M., Slade, T., Calear, A. L. & Carragher, N. Assessing distress in the community: Psychometric properties and crosswalk comparison of eight measures of psychological distress. Psychol. Med. 48(8), 1316–1324. (2018).
Google Scholar
Lumley, T. Complex surveys: A guide to analysis using R (Wiley, Hoboken, 2010).
Google Scholar
Lenth, R. V. emmeans: Estimated Marginal Means, aka Least-Squares Means. In: ; (2023).
link
