Glycemic Variability and Its Association With Demographics and Lifestyles in a General Adult Population

Objective: The objective was to investigate glycemic variability indices in relation to demographic factors and common environmental lifestyles in a general adult population. Methods: The A Estrada Glycation and Inflammation Study is a cross-sectional study covering 1516 participants selected by sampling of the population aged 18 years and over. A subsample of 622 individuals participated in the Glycation project, which included continuous glucose monitoring procedures. Five glycemic variability indices were analyzed, that is, SD, MAGE, MAG, CONGA1, and MODD. Results: Participants had a mean age of 48 years, 62% were females, and 12% had been previously diagnosed with diabetes. In the population without diabetes, index distributions were not normal but skewed to the right. Distributional regression models that adjusted for age, gender, BMI, alcohol intake, smoking status, and physical activity confirmed that all indices were positively and independently associated with fasting glucose levels and negatively with heavy drinking. SD, MAGE, and CONGA1 were positively associated with aging, and MAG was negatively associated with BMI. None of the GVI studied were influenced by physical activity. Age-group-specific reference values are given for the indices. Conclusions: This study yielded age-specific reference values for glucose variability indices in a general adult population. Significant increases were observed with aging. Heavy drinking of more than 140 g/week was associated with significant decreases in variability indices. No differences were found between males and females. These normative ranges provide a guide for clinical care, and may offer an alternative treatment target among persons with diabetesThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research project was supported by grants from Spain’s Carlos III Institute of Health (Instituto de Salud Carlos III/ISCIII) (PI11/02219 & PI13/02594) and the European Regional Development Fund (FEDER). PDV and MAS were supported by ISCIII Preventive Activity & Health Promotion Research Network (Red de Investigación en Actividades Preventivas y de Promoción de Salud/redIAPP) grants RD06/0018/0006 & RD12/0005/0007, respectively. CCS has been partially supported by the Spanish Ministry of Science and Innovation (MTM2015-69068-REDT)S