Yoshitaka Hashimoto1, Ayumi Kaji2, Ryosuke Sakai2, Takafumi Osaka3, Emi Ushigome2, Masahide Hamaguchi2, Masahiro Yamazaki2, Michiaki Fukui2. 1. Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan. Electronic address: y-hashi@koto.kpu-m.ac.jp. 2. Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan. 3. Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan; Department of Endocrinology and Diabetology, Ayabe City Hospital, Kyoto, Japan.
Abstract
OBJECTIVES: The association between skipping breakfast and glycemic parameters, including glycemic variability, in patients with type 2 diabetes is not well understood. Therefore, the aim of this study was to investigate the effects of skipping breakfast on glycemic parameters, including glycemic variability, in patients with type 2 diabetes. METHODS: In this cross-sectional study, we assessed lifestyle factors, including skipping breakfast, using a questionnaire method. We calculated the average, SD, and coefficient of variation (CV) of hemoglobin (Hb)A1c levels. The CV of HbA1c was defined as follows: CV = (SD / average HbA1c) × 100 (%). RESULTS: Among 317 patients, 22 (6.9%) skipped breakfast. Patients who did not eat breakfast were younger (58 [14.5] versus 67.4 [10.1] y, P < 0.001) than those who did. The proportion of current smokers among patients skipping breakfast was higher than the proportion of smokers among patients who did not (40.9 versus 11.5%, P < 0.001). Average (7.7 [1.3] versus 7.1 [0.8]%, P = 0.003), SD (0.32 [0.17-0.85] versus 0.21 [0.14-0.35], P = 0.024) and CV (0.04 [0.03-0.10] versus 0.03 [0.02-0.05], P = 0.028) of HbA1c level were higher among patients who skipped breakfast than among those who did not. Multiple regression analysis revealed that skipping breakfast was associated with average HbA1c (β = 0.527, P = 0.006) and CV of HbA1c (β = 0.026, P = 0.001) after adjusting for age, sex, body mass index, duration of diabetes, exercise, smoking, amount of alcohol consumption, total energy intake, carbohydrate intake, and medications for diabetes. CONCLUSIONS: Skipping breakfast is independently associated with poor glycemic control, including glycemic variability, in patients with type 2 diabetes.
OBJECTIVES: The association between skipping breakfast and glycemic parameters, including glycemic variability, in patients with type 2 diabetes is not well understood. Therefore, the aim of this study was to investigate the effects of skipping breakfast on glycemic parameters, including glycemic variability, in patients with type 2 diabetes. METHODS: In this cross-sectional study, we assessed lifestyle factors, including skipping breakfast, using a questionnaire method. We calculated the average, SD, and coefficient of variation (CV) of hemoglobin (Hb)A1c levels. The CV of HbA1c was defined as follows: CV = (SD / average HbA1c) × 100 (%). RESULTS: Among 317 patients, 22 (6.9%) skipped breakfast. Patients who did not eat breakfast were younger (58 [14.5] versus 67.4 [10.1] y, P < 0.001) than those who did. The proportion of current smokers among patients skipping breakfast was higher than the proportion of smokers among patients who did not (40.9 versus 11.5%, P < 0.001). Average (7.7 [1.3] versus 7.1 [0.8]%, P = 0.003), SD (0.32 [0.17-0.85] versus 0.21 [0.14-0.35], P = 0.024) and CV (0.04 [0.03-0.10] versus 0.03 [0.02-0.05], P = 0.028) of HbA1c level were higher among patients who skipped breakfast than among those who did not. Multiple regression analysis revealed that skipping breakfast was associated with average HbA1c (β = 0.527, P = 0.006) and CV of HbA1c (β = 0.026, P = 0.001) after adjusting for age, sex, body mass index, duration of diabetes, exercise, smoking, amount of alcohol consumption, total energy intake, carbohydrate intake, and medications for diabetes. CONCLUSIONS: Skipping breakfast is independently associated with poor glycemic control, including glycemic variability, in patients with type 2 diabetes.
Authors: Natalie Rasmussen Mandolfo; Ann M Berger; Leeza Struwe; Kathleen M Hanna; Whitney Goldner; Kelsey Klute; Sean Langenfeld; Marilyn Hammer Journal: Biol Res Nurs Date: 2021-10-05 Impact factor: 2.318