The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Insomnia, Trouble Sleeping, and Complementary and Alternative Medicine: Analysis of the 2002 National Health Interview Survey Data
Abstract
BACKGROUND: Insomnia and other disorders that result in trouble sleeping are common in the United States and are often associated with chronic health conditions. Some individuals with insomnia or trouble sleeping use complementary and alternative medicine (CAM) therapies to treat their condition, but the prevalence of such use and the most common types of CAM therapies selected are not known. METHODS: Prevalence of insomnia or trouble sleeping and of CAM use for treating such conditions was examined using the 2002 National Health Interview Survey. Logistic regression was used to examine associations between insomnia or trouble sleeping, comorbid conditions, and use of CAM treatments. RESULTS: The 12-month prevalence rate of insomnia or trouble sleeping was 17.4%. There was a strong positive association between adults who reported having insomnia or trouble sleeping and adults who reported 4 of 5 common conditions: obesity (adjusted odds ratio [OR], 1.15; 99% confidence interval [CI], 1.01-1.31), hypertension (OR, 1.32; 99% CI, 1.16-1.51), congestive heart failure (OR, 2.24; 99% CI, 1.60-3.14), and anxiety or depression (OR, 5.64; 99% CI, 5.07-6.29). Of those with insomnia or trouble sleeping, 4.5% used some form of CAM therapy to treat their condition. CONCLUSIONS: According to the National Health Interview Survey analysis, over 1.6 million civilian, noninstitutionalized adult US citizens use CAM to treat insomnia or trouble sleeping. The details of this analysis will serve as a guide for future research on CAM therapies for sleep disorders.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sleep Complaints Among Elderly Persons: An Epidemiologic Study of Three Communities
Foley, D. J., Monjan, A. A., Brown, S. L., Simonsick, E. M., Wallace, R. B., & Blazer, D. G. (1995) · Sleep · doi:10.1093/sleep/18.6.425 · Cited by 1,610
Sex Differences in Insomnia: A Meta-Analysis
Zhang, B., & Wing, Y.-K. (2006) · Sleep · doi:10.1093/sleep/29.1.85 · Cited by 1,286
MORIN, C., LEBLANC, M., DALEY, M., GREGOIRE, J., & MERETTE, C. (2006) · Sleep Medicine · doi:10.1016/j.sleep.2005.08.008 · Cited by 1,191
Edinger, J. D., Bonnet, M. H., Bootzin, R. R., Doghramji, K., Dorsey, C. M., Espie, C. A., Jamieson, A. O., McCall, W. V., Morin, C. M., & Stepanski, E. J. (2004) · Sleep · doi:10.1093/sleep/27.8.1567 · Cited by 1,039 · cited 1×
“” Several similar, but not identical, definitions of insomnia exist.(2,4,5) Primary insomnia can be defined as insomnia not associated with another identifiable disease.”
BackgroundClinical correlates of insomnia in patients with chronic illness
Katz, D. A., & McHorney, C. A. (1998) · Archives of Internal Medicine · doi:10.1001/archinte.158.10.1099 · Cited by 480 · cited 1×
“In some cases, insomnia and other sleep disorders may exacerbate or even be part of the cause of the comorbid condition.(6-12) For example, Suka et al(12) have shown that chronic insomnia is a good predictor of future hypertension in Japanese workers.”
BackgroundVorona, R. D., Winn, M. P., Babineau, T. W., Eng, B. P., Feldman, H. R., & Ware, J. C. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.1.25 · Cited by 405
Emerging research on the treatment and etiology of secondary or comorbid insomnia
Stepanski, E. J., & Rybarczyk, B. (2006) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.08.002 · Cited by 181
Cited by
Morin, C. M., & Benca, R. (2012) · The Lancet · doi:10.1016/s0140-6736(11)60750-2 · Cited by 976
Morin, C. M., & Jarrin, D. C. (2022) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2022.03.003 · Cited by 907
Morin, C. M., Drake, C. L., Harvey, A. G., Krystal, A. D., Manber, R., Riemann, D., & Spiegelhalder, K. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.26 · Cited by 746
The Cost of Poor Sleep: Workplace Productivity Loss and Associated Costs
Rosekind, M. R., Gregory, K. B., Mallis, M. M., Brandt, S. L., Seal, B., & Lerner, D. (2010) · Journal of Occupational & Environmental Medicine · doi:10.1097/jom.0b013e3181c78c30 · Cited by 385
Trends in insomnia and excessive daytime sleepiness among US adults from 2002 to 2012
Ford, E. S., Cunningham, T. J., Giles, W. H., & Croft, J. B. (2015) · Sleep Medicine · doi:10.1016/j.sleep.2014.12.008 · Cited by 332
“Insomnia in the United States is common with reported population-based estimates ranging from about 15% to 24% [5,6].”
A Randomized Controlled Trial of Mindfulness Meditation for Chronic Insomnia
Ong, J. C., Manber, R., Segal, Z., Xia, Y., Shapiro, S., & Wyatt, J. K. (2014) · Sleep · doi:10.5665/sleep.4010 · Cited by 332
The assessment and management of insomnia: an update
Krystal, A. D., Prather, A. A., & Ashbrook, L. H. (2019) · World Psychiatry · doi:10.1002/wps.20674 · Cited by 256
Bullis, J. R., Boettcher, H., Sauer‐Zavala, S., Farchione, T. J., & Barlow, D. H. (2019) · Clinical Psychology: Science and Practice · doi:10.1111/cpsp.12278 · Cited by 216
Complementary and Alternative Medicine for Sleep Disturbances in Older Adults
Gooneratne, N. S. (2008) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2007.08.002 · Cited by 133
The Effects of Mind-Body Interventions on Sleep Quality: A Systematic Review
Neuendorf, R., Wahbeh, H., Chamine, I., Yu, J., Hutchison, K., & Oken, B. S. (2015) · Evidence-Based Complementary and Alternative Medicine · doi:10.1155/2015/902708 · Cited by 116
Pharmacological Treatment of Insomnia.
(2015) · PubMed Central · Cited by 109
Baiden, P., Fallon, B., den Dunnen, W., & Boateng, G. O. (2015) · Sleep Medicine · doi:10.1016/j.sleep.2015.02.527 · Cited by 77
Hypnosis intervention effects on sleep outcomes: a systematic review
Chamine, I., Atchley, R., & Oken, B. S. (2018) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.6952 · Cited by 59
Hypnotherapy for insomnia: A systematic review and meta-analysis of randomized controlled trials
Lam, T.-H., Chung, K.-F., Yeung, W.-F., Yu, B. Y.-M., Yung, K.-P., & Ng, T. H.-Y. (2015) · Complementary Therapies in Medicine · doi:10.1016/j.ctim.2015.07.011 · Cited by 51
Mo, L., Mansfield, D. R., Joham, A., Cain, S. W., Bennett, C., Blumfield, M., Teede, H., & Moran, L. J. (2019) · Clinical Endocrinology · doi:10.1111/cen.13922 · Cited by 42
Chan, S. H.-W., Lui, D., Chan, H., Sum, K., Cheung, A., Yip, H., & Yu, C. H. (2022) · World Journal of Psychiatry · doi:10.5498/wjp.v12.i4.636 · Cited by 31
Olanrewaju GT, I. B. (2014) · Journal of Sleep Disorders & Therapy · doi:10.4172/2167-0277.1000157 · Cited by 21
Metadata
- Authors
- Pearson, N. J.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2006-09-18
- Volume
- 166
- Issue
- 16
- Pages
- 1775
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2074255145
- Cited by
- 316
- References
- 7
- FWCI
- 28.57
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
