Impact of sleep and physical activity habits on real-life glycaemic variability in patients with type 2 diabetes

Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes

Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.-P., & Colette, C. (2006) · JAMA · doi:10.1001/jama.295.14.1681 · Cited by 2,444 · see citing works

International consensus on use of continuous glucose monitoring

Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1600 · Cited by 2,069 · see citing works

Postchallenge plasma glucose and glycemic spikes are more strongly associated with atherosclerosis than fasting glucose or HbA1c level.

Temelkova-Kurktschiev, T. S., Koehler, C., Henkel, E., Leonhardt, W., Fuecker, K., & Markolf Hanefeld, E. (2000) · Diabetes Care · doi:10.2337/diacare.23.12.1830 · Cited by 543 · see citing works

Toward Defining the Threshold Between Low and High Glucose Variability in Diabetes

Monnier, L., Colette, C., Wojtusciszyn, A., Dejager, S., Renard, E., Molinari, N., & Owens, D. R. (2017) · Diabetes Care · doi:10.2337/dc16-1769 · Cited by 390 · see citing works

Complications of Diabetes and Metrics of Glycemic Management Derived From Continuous Glucose Monitoring

Yapanis, M., James, S., Craig, M. E., O'Neal, D. N., & Ekinci, E. I. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac034 · Cited by 302 · see citing works

Chronotype is independently associated with glycemic control in type 2 diabetes

Reutrakul, S., Hood, M. M., Crowley, S. J., Morgan, M. K., Teodori, M., Knutson, K. L., & Van Cauter, E. (2013) · Diabetes Care · doi:10.2337/dc12-2697 · Cited by 285 · see citing works

Glucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes

Kovatchev, B. P., & Cobelli, C. (2016) · Diabetes Care · doi:10.2337/dc15-2035 · Cited by 260 · see citing works

Sleep characteristics in type 1 diabetes and associations with glycemic control: systematic review and meta-analysis

Reutrakul, S., Thakkinstian, A., Anothaisintawee, T., Chontong, S., Borel, A.-L., Perfect, M. M., Janovsky, C. C. P. S., Kessler, R., Schultes, B., Harsch, I. A., et al. (2016) · Sleep Medicine · doi:10.1016/j.sleep.2016.03.019 · Cited by 238 · see citing works

Personality characteristics as predictors of underreporting of energy intake on 24-hour dietary recall interviews

Novotny, J. A., Rumpler, W. V., Riddick, H., Hébert, J. R., Rhodes, D. G., Judd, J. T., Baer, D. J., McDowell, M., & BRIEFEL, R. R. (2003) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(03)00975-1 · Cited by 153 · see citing works

Frequency of severe hypoglycemia in insulin-dependent diabetes mellitus can be predicted from self-monitoring blood glucose data.

Cox, D. J., Kovatchev, B. P., Julian, D. M., Gonder-Frederick, L. A., Polonsky, W. H., Schlundt, D. G., & Clarke, W. L. (1994) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.79.6.7989471 · Cited by 137 · see citing works

Sleep habits and diabetes

Larcher, S., Benhamou, P., Pépin, J., & Borel, A. (2015) · Diabetes & Metabolism · doi:10.1016/j.diabet.2014.12.004 · Cited by 134 · see citing works

Interrupting prolonged sitting in type 2 diabetes: nocturnal persistence of improved glycaemic control

Dempsey, P. C., Blankenship, J. M., Larsen, R. N., Sacre, J. W., Sethi, P., Straznicky, N. E., Cohen, N. D., Cerin, E., Lambert, G. W., Owen, N. G., et al. (2016) · Diabetologia · doi:10.1007/s00125-016-4169-z · Cited by 129 · see citing works

Modifiable lifestyle behaviors, but not a genetic risk score, associate with metabolic syndrome in evening chronotypes

Vera, B., Dashti, H. S., Gómez-Abellán, P., Hernández-Martínez, A. M., Esteban, A., Scheer, F. A. J. L., Saxena, R., & Garaulet, M. (2018) · Scientific Reports · doi:10.1038/s41598-017-18268-z · Cited by 117 · see citing works

Identifying sources of reporting error using measured food intake

Rumpler, W. V., Kramer, M., Rhodes, D., Moshfegh, A. J., & Paul, D. (2007) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602742 · Cited by 109 · see citing works

Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study

van Doorn, W. P. T. M., Foreman, Y. D., Schaper, N. C., Savelberg, H. H. C. M., Koster, A., Kallen, C., Wesselius, A., Schram, M. T., Henry, R. M. A., Dagnelie, P. C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253125 · Cited by 106 · see citing works

Sleep and HbA1c in Patients With Type 2 Diabetes: Which Sleep Characteristics Matter Most?

Brouwer, A., van Raalte, D. H., Rutters, F., Elders, P. J. M., Snoek, F. J., Beekman, A. T. F., & Bremmer, M. A. (2019) · Diabetes Care · doi:10.2337/dc19-0550 · Cited by 96 · see citing works

Impact of sleep behavior on glycemic control in type 1 diabetes: the role of social jetlag

Larcher, S., Gauchez, A., Lablanche, S., Pépin, J., Benhamou, P., & Borel, A. (2016) · European Journal of Endocrinology · doi:10.1530/eje-16-0188 · Cited by 72 · see citing works

Association of Self-Reported Sleep and Circadian Measures With Glycemia in Adults With Prediabetes or Recently Diagnosed Untreated Type 2 Diabetes

Mokhlesi, B., Temple, K. A., Tjaden, A. H., Edelstein, S. L., Utzschneider, K. M., Nadeau, K. J., Hannon, T. S., Sam, S., Barengolts, E., Manchanda, S., et al. (2019) · Diabetes Care · doi:10.2337/dc19-0298 · Cited by 72 · see citing works

Behavioral interventions to extend sleep duration: A systematic review and meta-analysis

Baron, K., Duffecy, J., Reutrakul, S., Levenson, J., McFarland, M. M., Lee, S., & Qeadan, F. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101532 · Cited by 62 · see citing works

Associations between polysomnography and actigraphy-based sleep indices and glycemic control among those with and without type 2 diabetes: the Multi-Ethnic Study of Atherosclerosis

Whitaker, K. M., Lutsey, P. L., Ogilvie, R. P., Pankow, J. S., Bertoni, A. G., Michos, E. D., Punjabi, N. M., & Redline, S. S. (2018) · SLEEP · doi:10.1093/sleep/zsy172 · Cited by 53 · see citing works

Real-World Data in Support of Short Sleep Duration with Poor Glycemic Control, in People with Type 2 Diabetes Mellitus

Martorina, W. J., & Júnior, A. R. T. (2019) · Journal of Diabetes Research · doi:10.1155/2019/6297162 · Cited by 20 · see citing works

Factors associated with improved glycemic control following continuous subcutaneous insulin infusion therapy in patients with type 2 diabetes uncontrolled with bolus‐basal insulin regimens: A n analysis from the OpT2mise randomized trial

Metzger, M., Castañeda, J., Reznik, Y., Giorgino, F., Conget, I., Aronson, R., de Portu, S., Runzis, S., Lee, S. W., & Cohen, O. (2017) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12960 · Cited by 9 · see citing works

The relationship between the level of exercise and hemoglobin A1c in patients with type 2 diabetes mellitus: a systematic review and meta-analysis

Igarashi, Y., Akazawa, N., & Maeda, S. (2021) · Endocrine · doi:10.1007/s12020-021-02817-8 · Cited by 9 · see citing works

Circadian dysfunction and cardio-metabolic disorders in humans

MARHEFKOVÁ, N., Sládek, M., Sumová, A., & Dubský, M. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1328139 · Cited by 31 · see citing works

Effectiveness of wearable technologies in supporting physical activity and metabolic health in adults with type 2 diabetes: a systematic-narrative hybrid review

Laffi, A., Persiani, M., Piras, A., Meoni, A., & Raffi, M. (2025) · Healthcare · doi:10.3390/healthcare13192422 · Cited by 9 · see citing works

Association of daytime circadian-aligned activity with glycemic control in type 2 diabetes: Insights from continuous glucose monitoring and wearable data

Lee, D. Y., Lee, J.-B., Jung, I., Park, S. J., Yu, J. H., Seo, J. A., Lee, H.-J., & Kim, N. H. (2026) · Metabolism · doi:10.1016/j.metabol.2026.156570 · Cited by 6 · see citing works

The relationship between physical activity level and timing and sleep quality and hygiene in healthy individuals: a cross-sectional study

Altunalan, T., Arslan, E., & Öztel, A. (2024) · BMC Public Health · doi:10.1186/s12889-024-20708-1 · Cited by 8 · see citing works

The association between glycaemic variability and sleep quality and quantity in adults with type 1 and type 2 diabetes: A systematic review

Pham, C. T., Ali, A. S., Churilov, L. P., Baqar, S., Hendrieckx, C., O'Neal, D. N., Howard, M. E., & Ekinci, E. I. (2024) · Diabetic Medicine · doi:10.1111/dme.15485 · Cited by 7 · see citing works

Association between sleep health and glycemic variability in people with type 2 diabetes: An ecological momentary assessment study

Yuan, J., Wang, J., Wang, Y., Chen, P., Wu, S., Shen, Y., Zhao, C., Reutrakul, S., Park, C. G., Chen, X., et al. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106754 · Cited by 1 · see citing works

Continuous monitoring of lifestyle factors in healthy individuals to predict individual glucose responses

Engstad, M. K. (2025) · Norsk tidsskrift for ernæring · doi:10.18261/ntfe.23.3.11

Sex-specific Association of Meal Frequency, Dinner Time, Dinner-to-Sleep Interval, and Sleep Duration at Night on Glucometabolic Control in People with Type 2 Diabetes Mellitus

Hasan, M. R., Mohana, C. A., Shil, K. K., Morshed, S., & Yeasna, K. F. (2026) · Bangladesh Journal of Endocrinology and Metabolism · doi:10.4103/bjem.bjem_4_26

Network analysis to identify interconnections between smartwatch-based lifestyle biomarkers and glycated haemoglobin (HbA1c)

Kalantari, E., Allocca, C., Ail, R., Giuliani, F., Ricciardi, F., Cosmo, S. D., Georgoula, M., Georga, E. I., Haleem, M. S., Kouchaki, S., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-64281-6

Accelerometer-Derived Physical Activity, Sedentary Behavior, and Continuous Glucose Monitoring-Derived Glycemic Variability in Adults with Type 2 Diabetes: A Longitudinal Repeated-Measures Study

Porras, P. C. V., Aranda, A. O. N., Quezada, D. Z. A., Livia, D. P. R., Gomez, H. E. L., & Morán, R. C. D. (2026) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk11030338

Association between sleep health and glycemic variability in people with type 2 diabetes: An ecological momentary assessment study

Yuan, J., Wang, J., Wang, Y., Chen, P., Wu, S., Shen, Y., Zhao, C., Reutrakul, S., Park, C. G., Chen, X., et al. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106754 · Cited by 1 · see citing works

Intra‐individual variability in sleep is related to glycaemic control in adults with type 2 diabetes

Zhu, B., Kapella, M. C., Zhao, X., & Fritschi, C. (2019) · Journal of Advanced Nursing · doi:10.1111/jan.14290 · Cited by 18 · see citing works

Multidimensional sleep health in type 2 diabetes: The role of sleep variability in glycemic control

Reutrakul, S., Park, J. C., McAnany, J. J., Chau, F. Y., Danielson, K. K., Prasad, B., Cross, A., Sintetas, S., Law, J., Pannain, S., et al. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.106861 · Cited by 1 · see citing works

Association of sleep quality and glycemic variability among South Indian rural patients with Type-2 diabetes mellitus

Hussain, M. A., Kumar, H. A., & Lingaiah, M. (2025) · Metabolism Open · doi:10.1016/j.metop.2025.100427 · Cited by 2 · see citing works

657-P: Association between Sleep and Glycemic Variability in People with Type 2 Diabetes in Real-Life Setting

Yuan, J., Wang, J. N., Wang, Y., Liu, F., ZHANG, J., & Zhu, B. (2024) · Diabetes · doi:10.2337/db24-657-p