The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Effect of Exercise Training on Obstructive Sleep Apnea and Sleep Quality: A Randomized Controlled Trial
Open accessAbstract
STUDY OBJECTIVES: To evaluate the efficacy of a 12-week exercise training program for reducing obstructive sleep apnea (OSA) severity and improving sleep quality, and to explore possible mechanisms by which exercise may reduce OSA severity. DESIGN: Randomized controlled trial. SETTING: Clinical exercise physiology center, sleep laboratory. PARTICIPANTS: Forty-three sedentary and overweight/obese adults aged 18-55 years with at least moderate-severity untreated OSA (screening apnea-hypopnea index [AHI] ≥ 15). INTERVENTIONS: Participants randomized to exercise training (n = 27) met 4 times/week for 12 weeks and performed 150 min/week of moderate-intensity aerobic activity, followed by resistance training twice/week. Participants randomized to a stretching control (n = 16) met twice weekly for 12 weeks to perform low-intensity exercises designed to increase whole-body flexibility. MEASUREMENTS AND RESULTS: OSA severity was assessed with one night of laboratory polysomnography (PSG) before and following the 12-week intervention. Measures of sleep quality included PSG, actigraphy (7-10 days), and the Pittsburgh Sleep Quality Index. Compared with stretching, exercise resulted in a significant AHI reduction (exercise: 32.2 ± 5.6 to 24.6 ± 4.4, stretching: 24.4 ± 5.6 to 28.9 ± 6.4; P < 0.01) as well as significant changes in oxygen desaturation index (ODI; P = 0.03) and stage N3 sleep (P = 0.03). Reductions in AHI and ODI were achieved without a significant decrease in body weight. Improvements in actigraphic sleep and subjective sleep quality were also noted following exercise compared with stretching. CONCLUSIONS: Exercise training had moderate treatment efficacy for the reduction of AHI in sedentary overweight/obese adults, which suggests that exercise may be beneficial for the management of OSA beyond simply facilitating weight loss. TRIAL REGISTRATION: Clinicaltrials.gov identification number NCT00956423.
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
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3901_4 · Cited by 7,806
HASKELL, W. L., LEE, I.-M., PATE, R. R., POWELL, K. E., BLAIR, S. N., FRANKLIN, B. A., MACERA, C. A., HEATH, G. W., THOMPSON, P. D., & BAUMAN, A. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616b27 · Cited by 4,616
Self-citationSleep-disordered Breathing and Cardiovascular Disease
SHAHAR, E., WHITNEY, C. W., REDLINE, S., LEE, E. T., NEWMAN, A. B., JAVIER NIETO, F., O'CONNOR, G. T., BOLAND, L. L., SCHWARTZ, J. E., & SAMET, J. M. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.163.1.2001008 · Cited by 2,901
Longitudinal Study of Moderate Weight Change and Sleep-Disordered Breathing
Peppard, P. E. (2000) · JAMA · doi:10.1001/jama.284.23.3015 · Cited by 2,020
Schwab, R. J., Pasirstein, M., Pierson, R., Mackley, A., Hachadoorian, R., Arens, R., Maislin, G., & Pack, A. I. (2003) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200208-866oc · Cited by 952
King, A. C., Pruitt, L. A., Woo, S., Castro, C. M., Ahn, D. K., Vitiello, M. V., Woodward, S. H., & Bliwise, D. L. (2008) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/63.9.997 · Cited by 246
Epidemiology of exercise and sleep
YOUNGSTEDT, S. D., & KLINE, C. E. (2006) · Sleep and Biological Rhythms · doi:10.1111/j.1479-8425.2006.00235.x · Cited by 182
Self-citationWest, S. D., Kohler, M., Nicoll, D. J., & Stradling, J. R. (2009) · Sleep Medicine · doi:10.1016/j.sleep.2008.11.007 · Cited by 97
Li, H.-Y., Engleman, H., Hsu, C.-Y., Izci, B., Vennelle, M., Cross, M., & Douglas, N. J. (2005) · Sleep · doi:10.1093/sleep/28.12.1554 · Cited by 69
Cited by
Diagnosis and Management of Obstructive Sleep Apnea: A Review
Gottlieb, D. J., & Punjabi, N. M. (2020) · JAMA · doi:10.1001/jama.2020.3514 · Cited by 1,482
Kline, C. E. (2014) · American Journal of Lifestyle Medicine · doi:10.1177/1559827614544437 · Cited by 364
Self-citationMantua, J., Gravel, N., & Spencer, R. (2016) · Sensors · doi:10.3390/s16050646 · Cited by 314
Hudgel, D. W., Patel, S. R., Ahasic, A. M., Bartlett, S. J., Bessesen, D. H., Coaker, M. A., Fiander, P. M., Grunstein, R. R., Gurubhagavatula, I., Kapur, V. K., et al. (2018) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201807-1326st · Cited by 266
Kuna, S. T., Reboussin, D. M., Borradaile, K. E., Sanders, M. H., Millman, R. P., Zammit, G., Newman, A. B., Wadden, T. A., Jakicic, J. M., Wing, R. R., et al. (2013) · Sleep · doi:10.5665/sleep.2618 · Cited by 231
Araghi, M. H., Chen, Y.-F., Jagielski, A., Choudhury, S., Banerjee, D., Hussain, S., Thomas, G. N., & Taheri, S. (2013) · Sleep · doi:10.5665/sleep.3056 · Cited by 214
Lopez, P., Taaffe, D. R., Galvão, D. A., Newton, R. U., Nonemacher, E. R., Wendt, V. M., Bassanesi, R. N., Turella, D. J. P., & Rech, A. (2022) · Obesity Reviews · doi:10.1111/obr.13428 · Cited by 210
O'Donoghue, G., Blake, C., Cunningham, C., Lennon, O., & Perrotta, C. (2021) · Obesity Reviews · doi:10.1111/obr.13137 · Cited by 190
Kuna, S. T., Reboussin, D. M., Strotmeyer, E. S., Millman, R. P., Zammit, G., Walkup, M. P., Wadden, T. A., Wing, R. R., Pi-Sunyer, F. X., Spira, A. P., et al. (2021) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201912-2511oc · Cited by 151
Chan, J. S. M., Ho, R. T. H., Chung, K.-F., Wang, C.-W., Yao, T.-J., Ng, S.-M., & Chan, C. L. W. (2014) · Evidence-Based Complementary and Alternative Medicine · doi:10.1155/2014/106048 · Cited by 138
Mendelson, M., Bailly, S., Marillier, M., Flore, P., Borel, J. C., Vivodtzev, I., Doutreleau, S., Verges, S., Tamisier, R., & Pépin, J.-L. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00073 · Cited by 134
“Other potential mechanisms which have been suggested to explain the observed decrease in OSA severity following exercise training include increased strength and fatigue resistance of the upper airway dilators, decreased nasal resistance, and increased respiratory stability through deeper sleep (16).”
BackgroundAn Exercise and Physical Activity Program in Patients With Atrial Fibrillation
Elliott, A. D., Verdicchio, C. V., Mahajan, R., Middeldorp, M. E., Gallagher, C., Mishima, R. S., Hendriks, J. M. L., Pathak, R. K., Thomas, G., Lau, D. H., et al. (2023) · JACC: Clinical Electrophysiology · doi:10.1016/j.jacep.2022.12.002 · Cited by 116
Kline, C. E., Sui, X., Hall, M. H., Youngstedt, S. D., Blair, S. N., Earnest, C. P., & Church, T. S. (2012) · BMJ Open · doi:10.1136/bmjopen-2012-001044 · Cited by 87
Self-citationMendelson, M., Vivodtzev, I., Tamisier, R., Laplaud, D., Dias-Domingos, S., Baguet, J.-P., Moreau, L., Koltes, C., Chavez, L., De Lamberterie, G., et al. (2014) · Sleep · doi:10.5665/sleep.4186 · Cited by 72
Neighborhood Walking Environment and Activity Level Are Associated With OSA
Billings, M. E., Johnson, D. A., Simonelli, G., Moore, K., Patel, S. R., Diez Roux, A. V., & Redline, S. (2016) · Chest · doi:10.1016/j.chest.2016.06.012 · Cited by 67
Wearable accelerometer-derived physical activity and incident disease
Khurshid, S., Weng, L.-C., Nauffal, V., Pirruccello, J. P., Venn, R. A., Al-Alusi, M. A., Benjamin, E. J., Ellinor, P. T., & Lubitz, S. A. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00676-9 · Cited by 63
Sleep-disordered breathing, type 2 diabetes and the metabolic syndrome
Seetho, I. W., & Wilding, J. P. (2014) · Chronic Respiratory Disease · doi:10.1177/1479972314552806 · Cited by 57
The Eight Hour Sleep Challenge During Final Exams Week
Scullin, M. K. (2019) · Teaching of Psychology · doi:10.1177/0098628318816142 · Cited by 36
BEHAVIORAL STRATEGIES, INCLUDING EXERCISE, FOR ADDRESSING INSOMNIA
Markwald, R. R., Iftikhar, I., & Youngstedt, S. D. (2018) · ACSM'S Health & Fitness Journal · doi:10.1249/fit.0000000000000375 · Cited by 31
“Moderate exercise training has also had significant benefits for sleep apnea (64,65) and restless legs syndrome (64), which are two sleep disorders that often interact with insomnia.”
BackgroundSelf-citationKline, C. E., Reboussin, D. M., Foster, G. D., Rice, T. B., Strotmeyer, E. S., Jakicic, J. M., Millman, R. P., Pi-Sunyer, F. X., Newman, A. B., Wadden, T. A., et al. (2016) · Sleep · doi:10.5665/sleep.5436 · Cited by 24
Self-citationPredictors of Sleep Apnea in the Canadian Population
van der Spuy, I., Zhao, G., Karunanayake, C., & Pahwa, P. (2018) · Canadian Respiratory Journal · doi:10.1155/2018/6349790 · Cited by 21
Metadata
- Authors
- Kline, C. E., Crowley, E. P., Ewing, G. B., Burch, J. B., Blair, S. N., Durstine, J. L., Davis, J. M., & Youngstedt, S. D.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-12
- Volume
- 34
- Issue
- 12
- Pages
- 1631-1640
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W1974402435
- Cited by
- 354
- References
- 11
- FWCI
- 12.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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.