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Tytuł pozycji:

Chronobiological evaluation and an intervention study on timing of food intake in the treatment of obesity.

Tytuł :
Chronobiological evaluation and an intervention study on timing of food intake in the treatment of obesity.
Autorzy :
Gamsızkan Z; Department of Family Medicine, Düzce University Medical Faculty, Duzce, Turkey.
Önmez A; Department of Internal Medicine, Düzce University Medical Faculty, Duzce, Turkey.
Sahip Karakaş T; Department of Family Medicine, Düzce University Medical Faculty, Duzce, Turkey.
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Źródło :
International journal of clinical practice [Int J Clin Pract] 2021 Jun 12, pp. e14502. Date of Electronic Publication: 2021 Jun 12.
Publication Model :
Ahead of Print
Typ publikacji :
Journal Article
Język :
English
Imprint Name(s) :
Publication: 2003- : Oxford, U.K. : Wiley
Original Publication: Esher [England] ; Bronxville, N.Y. : Medicom International, c1997-
References :
van Baak MA, Mariman ECM. Dietary strategies for weight loss maintenance. Nutrients. 2019;11:1916. https://dx.doi.org/10.3390%2Fnu11081916.
Hu L, Huang X, You C, et al. Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. PLoS One. 2017;12:e0183934. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5598943/.
Al Abdi T, Andreou E, Papageorgiou A, Heraclides A, Philippou E. Personality, chrono-nutrition and cardiometabolic health: a narrative review of the evidence. Adv Nutr. 2020;11:1201-1210. https://doi.org/10.1093/advances/nmaa051.
Serin Y, Acar TN. Effect of circadian rhythm on metabolic processes and the regulation of energy balance. Ann Nutr Metab. 2019;74:322-330.
Laermans J, Depoortere I. Chronobesity: role of the circadian system in the obesity epidemic. Obes Rev. 2016;17:108-125. https://pubmed.ncbi.nlm.nih.gov/26693661/.
Engin A. Circadian rhythms in diet-induced obesity. Adv Exp Med Biol. 2017;960:19-52. https://pubmed.ncbi.nlm.nih.gov/28585194/.
Allison KC, Goel N. Timing of eating in adults across the weight spectrum: metabolic factors and potential circadian mechanisms. Physiol Behav. 2018;192:158-166. https://pubmed.ncbi.nlm.nih.gov/29486170/.
Horne JA, Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol. 1976;4:97-110. https://www.researchgate.net/publication/22126774_A_Self_Assessment_Questionnaire_to_Determine_Morningness_Eveningness_in_Human_Circadian_Rhythms.
Teixeira GP, Mota MC, Crispim CA. Eveningness is associated with skipping breakfast and poor nutritional intake in Brazilian undergraduate students. Chronobiol Int. 2018;35:358-367. https://pubmed.ncbi.nlm.nih.gov/29219626/.
Nimitphong H, Siwasaranond N, Saetung S, et al. The relationship among breakfast time, morningness-eveningness preference and body mass index in Type 2 diabetes. Diabet Med. 2018;35:964-971. https://doi.org/10.1111/dme.13642.
Yu JH, Yun CH, Ahn JH, et al. Evening chronotype is associated with metabolic disorders and body composition in middle-aged adults. J Clin Endocrinol Metab. 2015;100:1494-1502. https://pubmed.ncbi.nlm.nih.gov/25831477/.
Anothaisintawee T, Lertrattananon D, Thamakaison S, et al. The relationship among morningness-eveningness, sleep duration, social jetlag, and body mass index in Asian patients with prediabetes. Front Endocrinol (Lausanne). 2018;9:435. https://pubmed.ncbi.nlm.nih.gov/30158898/.
Bandín C, Martinez-Nicolas A, Ordovás JM, et al. Circadian rhythmicity as a predictor of weight-loss effectiveness. Int J Obes (Lond). 2014;38:1083-1088. https://doi.org/10.1038/ijo.2013.211.
Aoun C, Nassar L, Soumi S, et al. The cognitive, behavioral, and emotional aspects of eating habits and association with impulsivity, chronotype, anxiety, and depression: a cross-sectional study. Front Behav Neurosci. 2019;13:204.
Dalen J, Smith BW, Shelley BM, et al. Pilot study: mindful eating and living (MEAL): weight, eating behavior, and psychological outcomes associated with a mindfulness-based intervention for people with obesity. Complement Ther Med. 2010;18:260-264. https://doi.org/10.1016/j.ctim.2010.09.008.
Agargun MY, Cilli AS, Boysan M, Selvi Y, Güleç M, Kara H. Turkish version of morningness-eveningness questionnaire (MEQ). Sleep and Hypnosis. 2007;9:16-23. http://www.sleepandhypnosis.org/ing/Pdf/91db977bcbee4ca9b0dcb57279181d80.pdf.
Chung W, Lim S. Factors contributing to educational differences in obesity among women: evidence from South Korea. BMC Public Health. 2020;20:1136. https://doi.org/10.1186/s12889-020-09221-3.
Gallant AR, Lundgren J, Drapeau V. The night-eating syndrome and obesity. Obes Rev. 2012;13:528-536. https://pubmed.ncbi.nlm.nih.gov/22222118/.
Yasumoto Y, Hashimoto C, Nakao R, et al. Short-term feeding at the wrong time is sufficient to desynchronize peripheral clocks and induce obesity with hyperphagia, physical inactivity and metabolic disorders in mice. Metabolism. 2016;65:714-727. https://pubmed.ncbi.nlm.nih.gov/27085778/.
Okauchi H, Hashimoto C, Nakao R, et al. Timing of food intake is more potent than habitual voluntary exercise to prevent diet-induced obesity in mice. Chronobiol Int. 2019;36:57-74. https://pubmed.ncbi.nlm.nih.gov/30212233/.
Culnan E, Kloss JD, Grandner M. A prospective study of weight gain associated with chronotype among college freshmen. Chronobiol Int. 2013;30:682-690. https://pubmed.ncbi.nlm.nih.gov/23688114/.
Summa KC, Turek FW. Chronobiology and obesity: Interactions between circadian rhythms and energy regulation. Adv Nutr. 2014;5:312S-S319. https://pubmed.ncbi.nlm.nih.gov/24829483/.
Alamuddin N, Wadden TA. Behavioral treatment of the patient with obesity. Endocrinol Metab Clin North Am. 2016;45:565-580. https://doi.org/10.1016/j.ecl.2016.04.008.
Mantzios M, Wilson JC. Mindfulness, eating behaviours, and obesity: a review and reflection on current findings. Curr Obes Rep. 2015;4:141-146. https://pubmed.ncbi.nlm.nih.gov/26627097/.
Maddah M, Rashidi A, Mohammadpour B, et al. In-school snacking, breakfast consumption, and sleeping patterns of normal and overweight Iranian high school girls: a study in urban and rural areas in Guilan, Iran. J Nutr Educ Behav. 2009;41:27-31. https://doi.org/10.1016/j.jneb.2008.03.115.
Yoshida J, Eguchi E, Nagaoka K, et al. Association of night eating habits with metabolic syndrome and its components: a longitudinal study. BMC Public Health. 2018;18:1366. https://doi.org/10.1186/s12889-018-6262-3.
Bischoff SC, Boirie Y, Cederholm T, et al. Towards a multidisciplinary approach to understand and manage obesity and related diseases. Clin Nutr. 2017;36:917-938. https://pubmed.ncbi.nlm.nih.gov/27890486/.
Entry Date(s) :
Date Created: 20210612 Latest Revision: 20210629
Update Code :
20210629
DOI :
10.1111/ijcp.14502
PMID :
34117692
Czasopismo naukowe
Background: The chronotype of patients who cannot reach their ideal weight despite diet and exercise may play a role in this resistance. In this study, the relationship between BMI and chronobiological preferences was examined and a weight loss programme was applied to refractory obese patients with evening type (ET).
Method: The study included 50 obese (BMI ≥ 30 kg/m 2 ), 50 overweight (BMI = 25-29 kg/m 2 ) and 50 normal weight (BMI < 25 kg/m 2 ). The patients were asked to fill out a questionnaire including questions about sociodemographic characteristics, breakfast and night eating habits, as well as the morningness-eveningness quastionnaire (MEQ). In the second stage of the study, awareness interviews were held with ET obese patients in terms of eating time and habits.
Results: A statistically significant difference was observed between the BMI averages and the MEQ scores of ET, intermediate type (IT) and morning type (MT) groups (P = .0001). There was a statistically significant difference between the ET, IT and MT groups in terms of the distribution of late-night eating habits (P = .0001). The habit of skipping breakfast and taking more calories at dinner was found to be high in the ET patients (respectively; P = .021, P < .001). According to the results of the 3-month follow-up and intervention, the ET patients lost an average of 9.07±4.30 kg and a significant decrease was observed in the BMI scores (P < .001).
Conclusions: The study results support the idea that an individualised weight loss programme according to the patient's chronotype preferences may increase the success rate of obesity treatment. A weight loss programme that includes the timing of food intake and regulation of eating habits in evening-type obese patients can be used in the treatment of obesity.
(© 2021 John Wiley & Sons Ltd.)

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