Fluctuations of Hyperglycemia and Insulin Sensitivity Are Linked to Menstrual Cycle Phases in Women With T1D
Open accessAbstract
Background: Factors influencing glycemic variability in type 1 diabetes (T1D) may play a significant role in the refinement of closed loop insulin administration. Phase of menstrual cycle is one such factor that has been inadequately investigated. We propose that unique individual patterns can be constructed and used as parameters of closed loop systems. Method: Women with T1D on continuous subcutaneous insulin infusion and continuous glucose monitoring were studied for 3 consecutive menstrual cycles. Ovulation prediction kits and labs were used to confirm phase of menstrual cycle. Glycemic risks were assessed using the low- and high blood glucose indices (LBGI and HBGI). Insulin sensitivity (SI) was estimated using a Kalman filtering method from meal and insulin data. Overall change significance for glycemic risks was assessed by repeated measures ANOVA, with specific phases emphasized using contrasts. Results: Ovulation was confirmed in 33/36 cycles studied in 12 subjects (age = 33.1 ± 7.0 years, BMI = 25.7 ± 2.9 kg/m 2 , A1c = 6.8 ± 0.7%). Risk for hyperglycemia changed significantly during the cycle ( P = .023), with HBGI increasing until early luteal phase and returning to initial levels thereafter. LBGI was steady in the follicular phase, decreasing thereafter but not significantly. SI was depressed during the luteal phase when compared to the early follicular phase ( P ≤ .05). Total daily insulin, carbohydrates, or calories did not show any significant fluctuations. Conclusions: Women with T1D have glycemic variability changes that are specific to the individual and are linked to phase of cycle. An increased risk of hyperglycemia was observed during periovulation and early luteal phases compared to the early follicular phase; these changes appear to be associated with decreased insulin sensitivity during the luteal phase.
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Previous studies have reported increased insulin requirements and deterioration of glycemic control from the mid- to late-luteal phases in women with type 1 diabetes.
“Several previous studies have reported increased insulin requirements and deterioration of glycemic control from the mid‐ to late‐luteal phases in women with type 1 diabetes (T1D) 3 , 4 , 5 , 6 , 7 .”
From A study of changes in insulin requirements related to the menstrual cycle in Japanese women with type 1 diabetes using the advanced hybrid closed‐loop system (2026) · cites this paper as [4]
The paper’s background passage reports that earlier small studies found more frequent hyperglycemia during the luteal phase in women with T1D, and says insulin requirements can change across the cycle. It does not establish increased insulin requirements specifically from mid- to late-luteal phases. Its own Results report no significant fluctuation in total daily insulin and a hyperglycemia risk that rose until early luteal phase, then returned to initial levels (Abstract; Glycemic Risks, page unavailable). (LLM, conf=0.87)
Experimental — accuracy not yet measuredOur findings are consistent with previous studies on women with T1D treated with MDI or CSII, which consistently reported reduced insulin sensitivity and deterioration of glycemic control during the luteal phase.
“Our findings are consistent with those of previous studies on women with T1D treated with multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII), which consistently reported reduced insulin sensitivity and deterioration of glycemic control during the luteal phase 4 , 5 , 16 .”
From A study of changes in insulin requirements related to the menstrual cycle in Japanese women with type 1 diabetes using the advanced hybrid closed‐loop system (2026) · cites this paper as [4]
The Discussion reports increased hyperglycemia risk and lower insulin sensitivity in the luteal phase among women with T1D. But this study enrolled women using CSII, not MDI, and the Discussion reports that insulin sensitivity decreased in only 42% of individual cycles; the source therefore does not support the claim that studies consistently found both effects across women treated with MDI or CSII. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe literature on the relationship between the menstrual cycle and insulin sensitivity/glycaemic control in type 1 diabetes is discordant.
“However, the literature in this field is discordant, and the pathophysiological mechanism underlying IS changes observed during different phases of the MC remains still unclear [12,13,14].”
From Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review (2023) · cites this paper as [12]
The pathophysiological mechanism underlying insulin sensitivity changes observed during different phases of the menstrual cycle remains unclear.
“However, the literature in this field is discordant, and the pathophysiological mechanism underlying IS changes observed during different phases of the MC remains still unclear [12,13,14].”
From Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review (2023) · cites this paper as [12]
Fourteen studies were included in the systematic review.
“We included 14 studies published between 1990 and 2022, with sample sizes from 4 to 124 patients.”
From Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review (2023) · cites this paper as [12]
The Study Design and Subjects section describes a prospective trial that recruited 15 women, and the Results report that 12 completed it. The cited paper does not report a systematic review or its number of included studies (searched for 14 studies and systematic-review inclusion). The citing sentence’s “we included” appears to describe the citing authors’ own review, which this source cannot verify. (LLM, conf=0.77)
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Cites
Filicori, M., Butler, J. P., & Crowley, W. F. (1984) · Journal of Clinical Investigation · doi:10.1172/jci111370 · Cited by 547 · see citing works
Variability in the phases of the menstrual cycle
Fehring, R. J., Schneider, M., & Raviele, K. (2006) · Journal of Obstetric, Gynecologic & Neonatal Nursing · doi:10.1111/j.1552-6909.2006.00051.x · Cited by 376 · see citing works
Evaluation of a New Measure of Blood Glucose Variability in Diabetes
Kovatchev, B. P., Otto, E., Cox, D. J., Gonder-Frederick, L. A., & Clarke, W. L. (2006) · Diabetes Care · doi:10.2337/dc06-1085 · Cited by 333 · see citing works
Kovatchev, B. P., Clarke, W. L., Breton, M. D., Brayman, K. L., & McCall, A. L. (2005) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2005.7.849 · Cited by 200 · see citing works
Self-citationYeung, E. H., Zhang, C., Mumford, S. L., Ye, A., Trevisan, M., Chen, L., Browne, R. W., Wactawski-Wende, J., & Schisterman, E. F. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-0702 · Cited by 145 · see citing works
Howards, P. P., Schisterman, E. F., Wactawski-Wende, J., Reschke, J. E., Frazer, A. A., & Hovey, K. M. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn287 · Cited by 113 · see citing works
Effect of the menstrual cycle on energy and nutrient intake
Martini, M., Lampe, J. W., Slavin, J. L., & Kurzer, M. (1994) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/60.6.895 · Cited by 112 · see citing works
Menstrual Cycle Effects on Insulin Sensitivity in Women with Type 1 Diabetes: A Pilot Study
Trout, K. K., Rickels, M. R., Schutta, M. H., Petrova, M., Freeman, E. W., Tkacs, N. C., & Teff, K. L. (2007) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.0004 · Cited by 75 · see citing works
Barata, D. S., Adan, L. F., Netto, E. M., & Ramalho, A. C. (2013) · Diabetes Care · doi:10.2337/dc12-2248 · Cited by 65 · see citing works
Schiavon, M., Man, C. D., Kudva, Y., Basu, A., & Cobelli, C. (2014) · Diabetes Care · doi:10.2337/dc13-1120 · Cited by 62 · see citing works
Goldner, W. S., Kraus, V. L., Sivitz, W. I., Hunter, S. K., & Dillon, J. S. (2004) · Diabetes Technology & Therapeutics · doi:10.1089/1520915041705875 · Cited by 55 · see citing works
Moberg, E., Kollind, M., Lins, P., & Adamson, U. (1995) · Diabetic Medicine · doi:10.1111/j.1464-5491.1995.tb00462.x · Cited by 40 · see citing works
Patton, S. R., Midyett, L. K., Dolan, L. M., & Powers, S. W. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0169 · Cited by 26 · see citing works
Macdonald, I. A., Scott, A. R., Bowman, C. A., & Jeffcoate, W. J. (1990) · Diabetic Medicine · doi:10.1111/j.1464-5491.1990.tb01309.x · Cited by 26 · see citing works
Model-Based Control of Type 1 Diabetes in “Risk Space”
Patek, S. D., Breton, M. D., Vereshchetin, P., Jiang, B., & Kovatchev, B. P. (2014) · IFAC Proceedings Volumes · doi:10.3182/20140824-6-za-1003.02105 · Cited by 2 · see citing works
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Cited by
Sorted by citations
Coming of age: the artificial pancreas for type 1 diabetes
Thabit, H., & Hovorka, R. (2016) · Diabetologia · doi:10.1007/s00125-016-4022-4 · Cited by 205 · see citing works
The competitive athlete with type 1 diabetes
Riddell, M. C., Scott, S. N., Fournier, P. A., Colberg, S. R., GALLEN, I. W., Moser, O., Stettler, C., Yardley, J. E., Zaharieva, D. P., Adolfsson, P., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05183-8 · Cited by 104 · see citing works
Breton, M. D., Patek, S. D., Lv, D., Schertz, E. M., Robic, J., Pinnata, J., Kollar, L. L., Barnett, C. L., WAKEMAN, C. A., Oliveri, M. C., et al. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0079 · Cited by 98 · see citing works
Self-citationBelobrajdic, D. P., Regina, A., Klingner, B., Zajac, I. T., Chapron, S., Berbezy, P., & Bird, A. R. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz067 · Cited by 75 · see citing works
Ruan, Y., Thabit, H., Leelarathna, L., Hartnell, S., Willinska, M. E., Dellweg, S., Benesch, C., Mader, J. K., Holzer, M., Kojzar, H., et al. (2016) · Diabetes Care · doi:10.2337/dc15-2623 · Cited by 70 · see citing works
Carbohydrate Intake in the Context of Exercise in People with Type 1 Diabetes
Scott, S. N., Kempf, P., Bally, L., & Stettler, C. (2019) · Nutrients · doi:10.3390/nu11123017 · Cited by 39 · see citing works
Brockman, N. K., & Yardley, J. E. (2018) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2017-0559 · Cited by 35 · see citing works
Closed-loop for type 1 diabetes – an introduction and appraisal for the generalist
Bally, L., Thabit, H., & Hovorka, R. (2017) · BMC Medicine · doi:10.1186/s12916-017-0794-8 · Cited by 35 · see citing works
Tatulashvili, S., Baptiste Julla, J., Sritharan, N., Rezgani, I., Levy, V., Bihan, H., Riveline, J.-P., & Cosson, E. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac443 · Cited by 33 · see citing works
Type 1 Diabetes and the Menstrual Cycle: Where/How Does Exercise Fit in?
Toor, S., Yardley, J. E., & Momeni, Z. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20042772 · Cited by 33 · see citing works
Menstrual Cycle, Glucose Control and Insulin Sensitivity in Type 1 Diabetes: A Systematic Review
Gamarra, E., & Trimboli, P. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13020374 · Cited by 29 · see citing works
Singletary, K. W. (2019) · Nutrition Today · doi:10.1097/nt.0000000000000319 · Cited by 25 · see citing works
Mewes, D., Wäldchen, M., Knoll, C., Raile, K., & Braune, K. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221080199 · Cited by 25 · see citing works
Fabris, C., Nass, R., Pinnata, J., Carr, K., Koravi, C. L. K., Barnett, C. L., Oliveri, M., Anderson, S., Cherñavvsky, D. R., & Breton, M. (2020) · Diabetes Care · doi:10.2337/dc19-1675 · Cited by 22 · see citing works
Self-citationBrown, S. A., Basu, A., & Kovatchev, B. P. (2019) · Diabetic Medicine · doi:10.1111/dme.13944 · Cited by 27 · see citing works
Self-citationEffects of a HIIT Protocol on Cardiovascular Risk Factors in a Type 1 Diabetes Mellitus Population
Alarcón-Gómez, J., Calatayud, J., Chulvi‐Medrano, I., & Martin-Rivera, F. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18031262 · Cited by 25 · see citing works
Levy, C. J., O'Malley, G., Raghinaru, D., Kudva, Y. C., Laffel, L. M., Pinsker, J. E., Lum, J. W., Brown, S. A., for the iDCL Trial Research Group, Kovatchev, B., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0431 · Cited by 21 · see citing works
Self-citationData-driven metabolic subtypes predict future adverse events in individuals with type 1 diabetes
on behalf of the FinnDiane Study Group, Lithovius, R., Toppila, I., Harjutsalo, V., Forsblom, C. M., Groop, P., & Mäkinen, V. (2017) · Diabetologia · doi:10.1007/s00125-017-4273-8 · Cited by 21 · see citing works
Diaz C., J. L., Fabris, C., Breton, M. D., & Cengiz, E. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0154 · Cited by 19 · see citing works
Self-citationLi, Z., Yardley, J. E., Zaharieva, D. P., Riddell, M. C., Gal, R. L., & Calhoun, P. M. (2024) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2024.06.004 · Cited by 18 · see citing works
Fabris, C., Ozaslan, B., & Breton, M. (2019) · Italian National Conference on Sensors · doi:10.3390/s19245386 · Cited by 19 · see citing works
Self-citationMonroy, G., Picón-César, M. J., García-Alemán, J., Tinahones, F. J., & Martínez-Montoro, J. I. (2025) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0522 · Cited by 17 · see citing works
The Future of Automated Insulin Delivery Systems
Hughes, M. S., & Levy, C. J. (2025) · Endocrine Practice · doi:10.1016/j.eprac.2025.05.752 · Cited by 18 · see citing works
Elhenawy, Y. I., Abdel Kader, M. S., & Thabet, R. A. (2024) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15891 · Cited by 17 · see citing works
Polsky, S., GIORDANO, D. A., Voelmle, M. K., Garcetti, R., & Garg, S. K. (2016) · Postgraduate Medicine · doi:10.1080/00325481.2016.1159910 · Cited by 16 · see citing works
Mesa, A., Solà, C., Vinagre, I., Roca, D., Granados, M., Pueyo, I., Cabré, C., Conget, I., & Giménez, M. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0571 · Cited by 16 · see citing works
Schieren, A., Koch, S., Pecht, T., & Simon, M. (2024) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-2273-5602 · Cited by 16 · see citing works
Development platform for artificial pancreas algorithms
Smaoui, M., Rabasa-Lhoret, R., & Haidar, A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243139 · Cited by 14 · see citing works
Use of continuous glucose monitoring trend arrows in the younger population with type 1 diabetes
Elbarbary, N., Moser, O., Yaarubi, S. A., Alsaffar, H., Shaikh, A. A., Ajjan, R., & Deeb, A. (2021) · Diabetes & vascular disease research · doi:10.1177/14791641211062155 · Cited by 14 · see citing works
Differences in insulin dosing in women with type 1 diabetes before and after the menopause
Melmer, A., Zürrer, I., Kopp, F., Pfeifer, M., Kamml, E., Götz, G., Hofer, S. E., Schütz-Fuhrmann, I., Hungele, A., & Holl, R. W. (2021) · Swiss Medical Weekly · doi:10.4414/smw.2021.w30025 · Cited by 11 · see citing works
Insulin pumps in children - a systematic review
Al‐Beltagi, M., Saeed, N. K., Bediwy, A. S., & Elbeltagi, R. M. (2022) · World Journal of Clinical Pediatrics · doi:10.5409/wjcp.v11.i6.463 · Cited by 11 · see citing works
Mesa, A., Franch‐Nadal, J., Navas, E., & Mauricio, D. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02791-9 · Cited by 11 · see citing works
Continuous Subcutaneous Insulin Infusions: Closing the Loop
Díaz-Balzac, C. A., Pillinger, D., & Wittlin, S. D. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac746 · Cited by 10 · see citing works
Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction
Wolff, M. K., Schaathun, H. G., Fougner, A. L., Steinert, M., & Volden, R. (2024) · IEEE Access · doi:10.1109/access.2024.3349496 · Cited by 9 · see citing works
Ethel Codner, D., Cerda, T., & Gaete, X., V (2020) · Current Opinion in Endocrine and Metabolic Research · doi:10.1016/j.coemr.2020.06.002 · Cited by 8 · see citing works
Predicting Postprandial Glycemic Responses With Limited Data in Type 1 and Type 2 Diabetes
Shen, Y., Choi, E., & Kleinberg, S. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251321508 · Cited by 7 · see citing works
Milionis, C., Ilias, Ι., Venaki, E., & Koukkou, E. G. (2023) · Practical Diabetes · doi:10.1002/pdi.2468 · Cited by 7 · see citing works
Gynaecology problems in puberty
Grover, S. R. (2019) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2019.06.002 · Cited by 7 · see citing works
High-normal serum thyrotropin levels and increased glycemic variability in type 2 diabetic patients
Su, J., Zhao, L., Zhang, X., Cai, H.-L., Huang, H., Xu, F., Chen, T., & Wang, X. (2018) · Endocrine · doi:10.1007/s12020-018-1591-7 · Cited by 6 · see citing works
Menstrual cycle influence on skeletal muscle mitochondrial respiration in humans
Nelson, W., Pfeifer, B. S., Lovell, A. R., Marchant, E. D., Mitchell, B. V., Atkinson, E. L., Murphy, T. L., Poulsen, S. L., Baird, J. R. K., Hancock, C. R., et al. (2025) · Physiological Reports · doi:10.14814/phy2.70458 · Cited by 4 · see citing works
The Minimed™ 670G Hybrid Automated Insulin Delivery System: Setting The Right Expectations
Leelarathna, L., & Thabit, H. (2018) · Endocrine Practice · doi:10.4158/ep-2018-0242 · Cited by 5 · see citing works
C., J. L. D., Cengiz, E., Breton, M. D., & Fabris, C. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629785 · Cited by 5 · see citing works
Self-citationClosed loop insulin delivery–Opportunities and limitations
Weiss, R. (2023) · Journal of Diabetes · doi:10.1111/1753-0407.13490 · Cited by 4 · see citing works
Sammut, M. J., McBey, D. P., Sayal, A. P., & Melling, C. W. J. (2024) · Journal of Diabetes Research · doi:10.1155/2024/5549762 · Cited by 5 · see citing works
One Size Does Not Fit All: The Need for Sex-Specific Precision Medicine in Diabetes Technology
Hossmann, S., Tan, S., Mader, J. K., Klonoff, D. C., Adams, D., Ballhausen, H., Bally, L., Balmer, M. L., Braunack-Mayer, V., Bonhoure, A., et al. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251340673 · Cited by 5 · see citing works
Fabris, C., Flanagan, D., Bennett, C., Batista, A. F. M. B., Oliveri, M. C., & Gonder-Frederick, L. A. (2025) · Diabetes Spectrum · doi:10.2337/ds25-0003 · Cited by 4 · see citing works
Toward demographic robustness in digital patient twins: Addressing the gender data gap
Mahr, D., Hebich, M., & Weinberger, N. (2025) · Digital Health · doi:10.1177/20552076251386660 · Cited by 4 · see citing works
Cholekho, S., Fan, Z., & Tan, H. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1305332 · Cited by 4 · see citing works
Managing diabetes across female reproductive stages
Mauricio, D., Gratacòs, M., & Franch‐Nadal, J. (2025) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2025.02.003 · Cited by 4 · see citing works
Metabolic tuning during the menstrual cycle
Kroemer, N. B. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00867-y · Cited by 4 · see citing works
Does glucose influence multidien cycles of interictal and/or ictal activities?
Pappas, A., Kubsad, S., Baud, M. O., Wright, K. E., Kollmyer, D. M., Warner, N. M., Haltiner, A. M., Gwinn, R. P., & Doherty, M. J. (2021) · Seizure · doi:10.1016/j.seizure.2020.12.002 · Cited by 4 · see citing works
Hompesch, M., Hawryluk, A., Hernandez, M., Uchil, B., Wilmington, A., & Peterson, L. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14520 · Cited by 4 · see citing works
Zakrzewski-Fruer, J. K., Morari, V., Champion, R. B., Bailey, D. P., Ferrandino, L., & Jones, R. L. (2023) · Nutrients · doi:10.3390/nu15143210 · Cited by 3 · see citing works
Thijs, I., Siegelaar, S. E., Elhenawy, Y. I., Benhalima, K., Pinhas‐Hamiel, O., van den Heuvel, T. R. A., Castañeda, J., & Cohen, O. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70377 · Cited by 3 · see citing works
Pharmacotherapy: Sex and gender evidence in medication safety and efficacy
Sleeper, R. B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816569-0.00012-7 · Cited by 3 · see citing works
Pino, A. C.-D., Sanz, A. J. L., Díez, J.-L., Rossetti, P., Romero, C. M., Ampudia‐Blasco, F. J., Bondía, J., & Agustín, R. M. (2025) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0558 · Cited by 3 · see citing works
López, T. R., Acosta, D. L., Alcalá, B. B., Domínguez, Ó. M., de Sevilla, E. G. P., Hillman, N., & de Villar, N. G. P. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70673 · Cited by 2 · see citing works
Catamenial Diabetic Ketoacidosis
Hekimsoy, Z. (2022) · Acta Endocrinologica (Bucharest) · doi:10.4183/aeb.2022.538 · Cited by 2 · see citing works
Modelado de la influencia del ciclo menstrual en el sistema glucosa-insulina en individuas sanas
Manrique-Córdoba, J., Romero-Ante, J. D., Vicente-Samper, J. M., & Sabater-Navarro, J. M. (2023) · Revista Iberoamericana de Automática e Informática Industrial RIAI · doi:10.4995/riai.2023.18533 · Cited by 2 · see citing works
Peters, T. M., Brazeau, A., Bally, L., Govette, A., Heyman, E., Jung, M. E., Laesser, C. I., Lespagnol, É., Logan, J. E., Momeni, Z., et al. (2025) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2025.02.001 · Cited by 3 · see citing works
Agustín, R. M., Pino, A. C.-D., Sanz, A. J. L., Rossetti, P., Bondía, J., & Ampudia‐Blasco, F. J. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112192 · Cited by 2 · see citing works
Milioto, A., Gulisano, C., Spacco, G., Siri, G., Caccia, B., Calevo, M. G., Minuto, N., Maggi, D. C., Bassi, M., & Cocchiara, F. (2025) · Diabetology · doi:10.3390/diabetology6060053 · Cited by 1 · see citing works
Women living with diabetes: Overlooked and under‐recognised, the psychosocial impact
Forde, R., Forbes, A., Adams, D., Celik, A., Davidsen, E., de Wit, M., Hadjiconstantinou, M., Hashim, R., Munda, A., Nefs, G., et al. (2026) · Diabetic Medicine · doi:10.1111/dme.70389 · Cited by 1 · see citing works
Going in Early: Hypoxia as a Target for Kidney Disease Prevention in Diabetes?
Barrett, H. L., Donaghue, K. C., & Forbes, J. M. (2020) · Diabetes · doi:10.2337/dbi20-0037 · Cited by 1 · see citing works
Liu, Y., Verdonk, P., de Wit, M., Nefs, G., & Dedding, C. W. M. (2023) · Journal of Advanced Nursing · doi:10.1111/jan.15757 · Cited by 1 · see citing works
Precision Exercise and Physical Activity for Diabetes
Boulé, N. G., & Yardley, J. E. (2022) · Springer eBooks · doi:10.1007/978-3-030-98927-9_13 · Cited by 1 · see citing works
Glycemic Control in Adolescent Girls with Type 1 Diabetes Mellitus
Shaalan, Y. M., Badawi, N. E., Soliman, A., Kamel, A., & Abdou, M. (2022) · Pediatric Sciences Journal · doi:10.21608/cupsj.2021.99617.1030 · Cited by 1 · see citing works
Takagi, E., Kaga, H., Mori, R., Fujikawa, S., Nagashima, H., Kogai, T., Koshibu, M., Sato, J., Nishida, Y., Ikeda, F., et al. (2026) · Journal of Diabetes Investigation · doi:10.1111/jdi.70463
“One possible mechanism proposed in previous studies is reduced insulin sensitivity associated with elevated progesterone levels 4 .”
A Smart Body Area Network for Diabetes Management
Jones, R. W. (2019) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion43075.2019.9011198
Saito, M., Okada, Y., Torimoto, K., & Tanaka, Y. (2022) · Journal of UOEH · doi:10.7888/juoeh.44.301
Lovett, K., Nkunga, B., Person, H., & Person, H. (2025) · doi:10.2196/preprints.81641
Rosado-Fernández, M., Climent, E., Fernández-Miró, M., Garrido, A., Gaja, R., Amador, V., Natera, G., González, A., Llauradó, G., Chillarón, J. J., et al. (2025) · Diabetology · doi:10.3390/diabetology6110139
Pharmacotherapy: Sex and gender evidence in medication safety and efficacy
Irons, R. S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-26712-3.00021-5
Examining Experiences With Menstruation and Glycemic Variability: Content Analysis on Reddit
Lovett, K., Nkunga, B., Person, H., & Bhochhibhoya, S. (2026) · JMIR Formative Research · doi:10.2196/81641
Hossmann, S., FRIEDMAN, M., Lizoain, A., Caduff, M., Braunack-Mayer, V., Burlando, L., Lal, R., Cengiz, E., Braune, K., Tan, S., et al. (2026) · Diabetes Care · doi:10.2337/dc26-0692
Piras, G., Bassi, M., Milioto, A., Calevo, M. G., Spacco, G., Cocchiara, F., Minuto, N., & Maggi, D. C. (2026) · Diabetic Medicine · doi:10.1111/dme.70436
CHANDRAN, S. R., Ang, W. M., Lim, G. H., Sng, G. G. R., & Gardner, D. S.-L. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.71234
Struckmeyer, N., Landsberg, S., Biester, T., Dolle, R. M., Frerking, A.-K., Kapitzke, K., Knottnerus-Meyer, N., Niemeyer, M., Toenne, R., Berge, T. V. D., et al. (2026) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2026-0309
Solà, C., Kokla, M., von Zezschwitz, J., Nicholas, C., Tawfik, S., Bracken, R. M., Schmidt, S., Nørgaard, K., & McCarthy, O. M. (2026) · Diabetic Medicine · doi:10.1111/dme.70468
Modeling ovarian hormone effects on glucose–insulin control in type 1 diabetes
Albaladejo-Carrasco, N., Furió-Novejarque, C., Nattero-Chávez, L., Bondia, J., & Díez, J. (2026) · Bioengineering & Translational Medicine · doi:10.1002/btm2.70168
Castro, M., Grassi, B., Daín, A., Gómez, A. M., Saleme, A., Calliari, L. E., Siqueira, R. D. A., Raggio, M., Riera, F., Sámano, M. Á. G., et al. (2026) · Diabetes Technology & Therapeutics · doi:10.1177/15209156261486558
- Authors
- Brown, S. A., Jiang, B., McElwee-Malloy, M., Wakeman, C., & Breton, M. D.
- Affiliations
- University of Virginia (US)
- Corresponding author
- Brown, Sue A.
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2015-10-14
- Volume
- 9
- Issue
- 6
- Pages
- 1192-1199
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC4667305
- OpenAlex
- W2410556865
- Cited by
- 81
- References
- 16
- Citations by year
- 2026: 13 · 2025: 15 · 2024: 7 · 2023: 8 · 2022: 10 · 2021: 7 · 2020: 5 · 2019: 7 · 2018: 4 · 2017: 2 · 2016: 3
- FWCI
- 2.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Virginia
- Johnson and Johnson
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- type 1 diabetes, menstrual cycle phases, glycemic variability, hyperglycemia, insulin sensitivity, luteal phase, follicular phase, ovulation, artificial pancreas, continuous glucose monitoring, insulin pump therapy, Kalman filter, women
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Type 1, Equipment Design, Female, Humans, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Insulin Resistance, Menstrual Cycle, Models, Biological, Pilot Projects, Prospective Studies, Risk Factors, Time Factors, Blood Glucose Self-Monitoring, Biomarkers, Treatment Outcome, Pancreas, Artificial, Infusions, Subcutaneous
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