EXAMINATION OF MEAL TIME AND FOOD PREFERENCES ACCORDING TO CHRONOTYPE IN ADOLESCENTS

Abstract

Background: According to the circadian rhythm, there are differences in the daily time preferences of individuals. The chronotype reflecting daily time preferences is associated with nutrition. While overweight-obese status and metabolic risk are higher in the morning-type, abdominal obesity is higher in the evening-type (p>0.05). The rate of consumption of two main meals of the evening types compared to the intermediate types; the rate of consuming three main meals of intermediate types is different from those of evening meals (p<0.05). Aim: In this study, it was aimed to examine the eating habits and meal times of adolescents between the ages of 10-14 according to chronotype. Method: The data were obtained with a questionnaire consisting of sociodemographic characteristics, some anthropometric measurements (body weight, height, waist circumference measurements), nutritional habits, Childhood Chronotype Questionnaire, food frequency questionnaire, 24-hour dietary recall. Results: The morning meal time of the evening types is later than the morning ones (p<0.05). In this study, food groups consumption portions and energy and nutrient intakes of adolescents according to chronotype were not different (p>0.05). Conclusion: It emphasizes that chronotype may be an important factor in the evaluation of nutritional habits in adolescents.

Keywords

• kronotip
• adölesan
• beslenme alışkanlıkları
• öğün zamanı
• besin ögeleri

ADÖLESANLARDA KRONOTİPE GÖRE ÖĞÜN ZAMANI VE BESİN TERCİHLERİNİN İNCELENMESİ

Öz

Giriş: Sirkadiyen ritime göre bireylerin günlük zaman tercihlerinde farklılık görülmektedir. Günlük zaman tercihlerini yansıtan kronotip beslenme ile ilişkilidir. Sabahçıl tipte fazla kilolu-obez olma durumu ve metabolik risk daha yüksek iken, abdominal obezite akşamcıl tipte daha yüksektir (p>0,05). Akşamcıl tiplerin iki ana öğün tüketme oranı ara tiplere göre; ara tiplerin ise üç ana öğün tüketme oranı akşamcıllara göre farklıdır (p<0.05). Amaç: Bu araştırmada 10-14 yaş arasındaki adölesanların beslenme alışkanlıklarının ve öğün zamanının kronotipe göre incelenmesi amaçlanmıştır. Metod: Veriler sosyodemografik özellikler, bazı antropometrik ölçümler (vücut ağırlığı, boy uzunluğu, bel çevresi ölçümleri), beslenme alışkanlıkları, Çoçukluk Dönemi Kronotip Anketi, besin tüketim sıklığı anketi ve 24 saatlik hatırlatma yöntemi ile besin tüketim kaydından oluşan anket formu ile alınmıştır. Bulgular: Akşamcıl tiplerin sabah öğün saati sabahçıllara göre daha geçtir (p<0.05). Bu çalışmada adölesanların kronotipe göre besin grupları tüketim porsiyonları ve enerji, besin ögesi alımları farklı değildir (p>0.05). Sonuç: Adölesanlarda beslenme alışkanlıklarının değerlendirilmesinde kronotipin önemli bir faktör olabileceğini vurgulamaktadır.

Anahtar Kelimeler

• kronotip
• adölesan
• beslenme alışkanlıkları
• öğün zamanı
• besin ögeleri

Kaynakça

1. Roenneberg T, Merrow M. The circadian clock and human health. Current Biology. 2016;26(10):432– 443.
2. 2. Gangwar A, Tiwari S, Rawat A, Verma A, Singh K, Kant S, et al. Circadian preference, sleep quality, and health-impairing lifestyles among undergraduates of medical university. Cureus, 2018;10(6):2856.
3. 3. Mendes Silva C, Carliana Mota M, Tavares Miranda M, Lemos Paim S, Waterhouse J, Aparecida Crispim C. Chronotype, social jetlag and sleep debt are associated with dietary intake among Brazilian undergraduate students. Chronobiology International. 2016;33(6):740-748
4. 4. Xiao Q, Garaulet M, Scheer F. Meal timing and obesity: interactions with macronutrient intake and chronotype. International Journal of Obesity. 2019;43:1701–1711.
5. 5. Gontijo CA, Cabral BBM, Balieiro LCT, Teixeira GP, Fahmy WM, Maia YCDP et al. Time-related eating patterns and chronotype are associated with diet quality in pregnant women. Chronobiology International. 2019;36(1):75-84.
6. 6. Nimitphong H, Siwasaranond N, Saetung S, Thakkinstian A, Ongphıphadhanakul B, Reutrakul S. The relationship among breakfast time, morningness-eveningness preference and body mass index in Type 2 diabetes. Diabetic Medicine. 2018;35(7):964-971.
7. 7. WHO, The WHO STEPwise approach to chronic disease risk factor surveillance. Geneva: World Health Organization. Section 3: guide to physical measurements (Step 2). World Health Organization 2008. Avaible at: https://www.who.int/teams/noncommunicable-diseases/surveillance/systems tools/steps#:~:text=The%20WHO%20STEPwise%20Approach%20to,NCD%20risk%20factors%20in% 20countries Accessed on: 10/02/2021.
8. 8. De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World health Organization. 2007;85:660-667.

9. 9. Fernandez JR, Redden DT, Pietrobelli A, Allison D. Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American children and adolescents. The Journal of Pediatrics. 2004;35(1):439–444.
10. 10. Zimmet P, George Alberti KM, Kaufman F, Tajima N, Silink M, et al. The metabolic syndrome in children and adolescents–an IDF consensus report. Pediatric Diabetes. 2007;8(5):299-306.
11. 11. Ashwell M, Hsieh SD. International Journal of Food Sciences and Nutrition Six reasons why the waistto-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. International Journal of Food Sciences and Nutrition. 2005;56(5):303–307.
12. 12. Roenneberg T, Kuehnle T, Pramstaller PP, Ricken J, Havel M, Guth A, et al. A marker for the end of adolescence. Current Biology. 2004;14(24):1038–1039.
13. 13. Dursun OB, Ogutlu H, Esin IS. Turkish validation and adaptation of Children’s Chronotype Questionnaire (CCTQ) Çocukluk Dönemi Kronotip Anketi’nin Türkçe Geçerlilik ve Güvenilirliği. 2015;47(1):56–61.