Prediabetes is a prevalent condition [1, 2] inherent to metabolic syndrome, often accompanied by obesity, dyslipidemia, and hypertension [3], and recognized as a risk factor for type 2 diabetes mellitus (T2DM) and cardiovascular disease [4, 5].
Lumen’s study [6], in collaboration with the Endocrinology Department at Tel Aviv’s Sourasky Medical Center, examined whether Lumen's metabolic measurements and personalized lifestyle recommendations could help improve anthropometric (e.g., weight and body composition) and metabolic outcomes and support prediabetes management.
The study focused on prediabetic individuals with a high BMI and showed notable improvements in metabolic health, body composition, and cardiovascular health with the use of Lumen.
Prediabetic adults with a BMI between 27-40 using Lumen for 12 weeks experienced significant improvements in key metabolic health indicators:
Moreover, alkaline phosphatase (ALP) levels decreased by 0.1 kat/L (6.48 U/L). High levels of ALP have been associated with an increased risk of diabetes [7].
The average weight loss percentage in the study was 6.15%, which is within the CDC and ADA guidelines for preventing diabetes-related complications [2].
Lifestyle interventions have been shown to be beneficial for reducing the prevalence of metabolic syndrome [8,9,10]. Such outcomes have been demonstrated in long and short (12 weeks) intervention studies. In one meta-analysis, weight loss was found to be significantly greater with lifestyle interventions compared to usual treatment [11].
Lumen’s research results support this, suggesting that taking metabolic measurements and making data-driven lifestyle adjustments to improve metabolic flexibility could be effective strategies for improving metabolic health and potentially reversing prediabetes.
The findings from this study, such as a decrease in HbA1c, waist circumference, blood pressure, and triglycerides, provide evidence that lifestyle and nutritional interventions, which vary in response to daily changes in metabolic flexibility, can improve multiple metabolic biomarkers in prediabetic adults.
[1] American Diabetes Association (2020). 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020. Diabetes care, 43(Suppl 1), S14–S31. https://doi.org/10.2337/dc20-S002
[2] Centers for Disease Control and Prevention. (n.d.). National Diabetes Statistics Report, 2020 : Estimates of diabetes and its burden in the United States. Centers for Disease Control and Prevention. https://stacks.cdc.gov/view/cdc/85309
[3] Alberti, K. G., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J. C., James, W. P., Loria, C. M., Smith, S. C., Jr, International Diabetes Federation Task Force on Epidemiology and Prevention, Hational Heart, Lung, and Blood Institute, American Heart Association, World Heart Federation, International Atherosclerosis Society, & International Association for the Study of Obesity (2009). Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation, 120(16), 1640–1645. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
[4] Tabák, A. G., Herder, C., Rathmann, W., Brunner, E. J., & Kivimäki, M. (2012). Prediabetes: a high-risk state for diabetes development. Lancet (London, England), 379(9833), 2279–2290. https://doi.org/10.1016/S0140-6736(12)60283-9
[5] Levitan, E. B., Song, Y., Ford, E. S., & Liu, S. (2004). Is nondiabetic hyperglycemia a risk factor for cardiovascular disease? A meta-analysis of prospective studies. Archives of internal medicine, 164(19), 2147–2155. https://doi.org/10.1001/archinte.164.19.2147
[6] Buch, A., Yeshurun, S., Cramer, T., Baumann, A., Sencelsky, Y., Zelber Sagi, S., Serebro, M., Greenman, Y., Mor, M., & Eldor, R. (2023). The Effects of Metabolism Tracker Device (Lumen) Usage on Metabolic Control in Adults with Prediabetes: Pilot Clinical Trial. Obesity facts, 16(1), 53–61. https://doi.org/10.1159/000527227
[7] Chen, S. C., Tsai, S. P., Jhao, J. Y., Jiang, W. K., Tsao, C. K., & Chang, L. Y. (2017). Liver Fat, Hepatic Enzymes, Alkaline Phosphatase and the Risk of Incident Type 2 Diabetes: A Prospective Study of 132,377 Adults. Scientific reports, 7(1), 4649. https://doi.org/10.1038/s41598-017-04631-7
[8] Ilanne-Parikka, P., Eriksson, J. G., Lindström, J., Peltonen, M., Aunola, S., Hämäläinen, H., Keinänen-Kiukaanniemi, S., Laakso, M., Valle, T. T., Lahtela, J., Uusitupa, M., Tuomilehto, J., & Finnish Diabetes Prevention Study Group (2008). Effect of lifestyle intervention on the occurrence of metabolic syndrome and its components in the Finnish Diabetes Prevention Study. Diabetes care, 31(4), 805–807. https://doi.org/10.2337/dc07-1117
[9] van Namen, M., Prendergast, L., & Peiris, C. (2019). Supervised lifestyle intervention for people with metabolic syndrome improves outcomes and reduces individual risk factors of metabolic syndrome: A systematic review and meta-analysis. Metabolism: clinical and experimental, 101, 153988. https://doi.org/10.1016/j.metabol.2019.153988
[10] Saboya, P. P., Bodanese, L. C., Zimmermann, P. R., Gustavo, A. D., Macagnan, F. E., Feoli, A. P., & Oliveira, M. D. (2017). Lifestyle Intervention on Metabolic Syndrome and its Impact on Quality of Life: A Randomized Controlled Trial. Arquivos brasileiros de cardiologia, 108(1), 60–69. https://doi.org/10.5935/abc.20160186
[11] Glechner, A., Keuchel, L., Affengruber, L., Titscher, V., Sommer, I., Matyas, N., Wagner, G., Kien, C., Klerings, I., & Gartlehner, G. (2018). Effects of lifestyle changes on adults with prediabetes: A systematic review and meta-analysis. Primary care diabetes, 12(5), 393–408. https://doi.org/10.1016/j.pcd.2018.07.003
Our Lumen editorial desk includes an in-house team of certified and registered nutritionists and dietitians, scientists, researchers, and writers.