Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
BACKGROUND: In medical literature sources, there are data on the relationship of disorders of circadian rhythms (desynchronosis) with the development of type 2 diabetes mellitus (T2DM). Desynchronosis of circadian rhythms of glycemia can be triggered both by external factors (exposure to excessive artificial lighting in the evening, violation of the diet, «sleep-wake»), and internal — from the individual organization of circadian rhythms (chronotype). In this connection, there is an interest in the most detailed study of the influence of individual characteristics of the organization of circadian rhythms on the risk of developing T2DM. AIM: To characterize the individual organization of circadian rhythms in persons without carbohydrate metabolism disorders, with prediabetes and T2DM with obesity and BMI = 30.0–34.9 kg/m2.MATERIALS AND METHODS: Тhe Horn-Ostberg questionnaires were analyzed retrospectively in individuals with visceral obesity without carbohydrate metabolism disorders (n=40), with prediabetes (n=40) and T2DM (n=40). The results of the Horn-Ostberg test were compared with anamnestic anthropometric, laboratory parameters, nutrition diaries, daily rhythms of integral physiological indicators of carbohydrate and energy metabolism.RESULTS: All study participants (n=120) were identical age 56,7 [52,2; 58,6] years, BMI 31.3 [30.7; 33.9] kg/m2, waist circumference (OW) in women 96.54 ± 1.35 cm in men 98.75 ± 2.61 cm Sex distribution: 73% women and 27% men. Persons with morning chronotype made up 24% (29 people), intermediate 63% (75 people) and evening 13% (16 people) . In the groups, the late time for the first breakfast was noted (without carbohydrate metabolism disorders 9:45h, prediabetes 9:31 and T2DM 10:00h), and 20% of the participants missed it (p<0.05). A larger amount of daily energy value was shifted to the afternoon (p<0.05). Late bedtime was observed in all groups: without carbohydrate metabolism disorders 22.50–00.29h, with prediabetes 22.30–00.29h and T2DM 22.45–00.29h with an increase in sleep duration in the prediabetes group (08.14h, 09.00h and 08.38h, respectively). In all groups, morning and evening chronotypes had correlations with the amplitude of the daily rhythm of glycemia (r=-0.7, p=0.002 and r=-0.6, p=0.035), basal body temperature (r=0.4, p=0.046 and r=-0.5, p<0.0001) and daily energy value (r=-0.6, p= 0.041 and r=-0.6, p=0.05), differing only in the strength of the relationship.CONCLUSION: Thus, people with the morning and intermediate types of the morning chronotype, who organize a daily routine and nutrition that do not correspond to the individual characteristics of this given chronotype, can, along with people of the evening chronotype, become vulnerable in the context of the development of type 2 diabetes.
BACKGROUND: In medical literature sources, there are data on the relationship of disorders of circadian rhythms (desynchronosis) with the development of type 2 diabetes mellitus (T2DM). Desynchronosis of circadian rhythms of glycemia can be triggered both by external factors (exposure to excessive artificial lighting in the evening, violation of the diet, «sleep-wake»), and internal — from the individual organization of circadian rhythms (chronotype). In this connection, there is an interest in the most detailed study of the influence of individual characteristics of the organization of circadian rhythms on the risk of developing T2DM. AIM: To characterize the individual organization of circadian rhythms in persons without carbohydrate metabolism disorders, with prediabetes and T2DM with obesity and BMI = 30.0–34.9 kg/m2.MATERIALS AND METHODS: Тhe Horn-Ostberg questionnaires were analyzed retrospectively in individuals with visceral obesity without carbohydrate metabolism disorders (n=40), with prediabetes (n=40) and T2DM (n=40). The results of the Horn-Ostberg test were compared with anamnestic anthropometric, laboratory parameters, nutrition diaries, daily rhythms of integral physiological indicators of carbohydrate and energy metabolism.RESULTS: All study participants (n=120) were identical age 56,7 [52,2; 58,6] years, BMI 31.3 [30.7; 33.9] kg/m2, waist circumference (OW) in women 96.54 ± 1.35 cm in men 98.75 ± 2.61 cm Sex distribution: 73% women and 27% men. Persons with morning chronotype made up 24% (29 people), intermediate 63% (75 people) and evening 13% (16 people) . In the groups, the late time for the first breakfast was noted (without carbohydrate metabolism disorders 9:45h, prediabetes 9:31 and T2DM 10:00h), and 20% of the participants missed it (p<0.05). A larger amount of daily energy value was shifted to the afternoon (p<0.05). Late bedtime was observed in all groups: without carbohydrate metabolism disorders 22.50–00.29h, with prediabetes 22.30–00.29h and T2DM 22.45–00.29h with an increase in sleep duration in the prediabetes group (08.14h, 09.00h and 08.38h, respectively). In all groups, morning and evening chronotypes had correlations with the amplitude of the daily rhythm of glycemia (r=-0.7, p=0.002 and r=-0.6, p=0.035), basal body temperature (r=0.4, p=0.046 and r=-0.5, p<0.0001) and daily energy value (r=-0.6, p= 0.041 and r=-0.6, p=0.05), differing only in the strength of the relationship.CONCLUSION: Thus, people with the morning and intermediate types of the morning chronotype, who organize a daily routine and nutrition that do not correspond to the individual characteristics of this given chronotype, can, along with people of the evening chronotype, become vulnerable in the context of the development of type 2 diabetes.
Aim. To create a mathematical model, which will predict the development of type 2 diabetes mellitus (DM 2) in individuals with visceral obesity and/or prediabetes. Materials and methods. Clinical and laboratory data of 330 patients were analyzed. Multivariate regression and cosinor analysis determined the most sensitive parameters influencing the development of DM 2. With the help of discriminant linear analysis, a mathematical model for predicting DM 2 was built, with confirmation of its quality by ROC analysis. Results. In the studied groups (DM 2), prediabetes and without carbohydrate metabolism disorders (n=110), statistically significant correlations were obtained: between basal body temperature (BBT) and daily energy value – DEV (r=0.5; p0.0001), circadian rhythm amplitude glycemia and waist circumference (r=-0.7; p=0.004), age and BBT (r=0.5; p0.001). In groups without carbohydrate metabolism disorders and prediabetes, multiple regression analysis identified significant factors influencing the development of DM 2: daily amplitude of BBT, daily amplitude of glycemia and bedtime (p=0.001), DEV and meal time (p=0.0001). Cosinor analysis of the daily model of glycemia and BBT established an amplitude-phase shift (p=0.028; p=0.012). Linear discriminant analysis yielded a predictive model: D=-16.845 + age х 0.044 + gender х 0.026 + amplitude of circadian rhythm of BBT х 1.424 + amplitude of circadian rhythm of glycemia х 11.155 + bedtime х 0.054 + DEV х 0.0001 + waist circumference х 0.022 + glycated hemoglobin х 1.19, where -16.845 – constant, 0.044, 0.026, 1.424, 11.155, 0.054, 0.0001, 0.022, 1.19 – coefficients of the linear discriminant function. At D0 no development of DM 2 is predicted, at D0 the development of DM 2 is in the near future. Sensitivity ratio – 92.5%, specificity – 79.1% (ROC analysis). Conclusion. The presented predictive model has a high (92.5%) sensitivity due to the combination of 2 mathematical analyses. Most of the applied parameters are modifiable, which makes it possible to apply this model at the preventive stage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.