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Hubungan Durasi Tidur, Kualitas Tidur, Faktor Stress, dan Night Eating Syndrome dengan Preferensi Makanan pada Mahasiswa Universitas Diponegoro

Fakultas Kedokteran, Universitas Diponegoro, Semarang, Indonesia

Received: 10 Aug 2021; Revised: 2 Jan 2022; Accepted: 10 Jan 2022; Available online: 1 Feb 2022; Published: 8 Apr 2022.
Open Access Copyright (c) 2022 MEDIA KESEHATAN MASYARAKAT INDONESIA under http://creativecommons.org/licenses/by-sa/4.0/.

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Abstract

Latar Belakang: Mahasiswa merupakan kelompok usia dewasa awal yang memiliki aktivitas padat. Aktifitas yang padat dapat mempengaruhi waktu dan kualitas tidur, tingkat stress, kebiasaan makan di malam hari, dan preferensi makanan. Penelitian ini bertujuan untuk menganalisis hubungan durasi tidur, kualitas tidur, faktor stress, Night Eating Syndrome (NES), dan preferensi makan mahasiswa.

Metode: Penelitian di Kota Semarang ini menggunakan desain cross-sectional dengan jumlah subjek sebanyak 105 orang mahasiswa Universitas Diponegoro. Sampel dipilih dengan teknik purposive sampling. Data yang diambil adalah data durasi tidur, kualitas tidur, faktor stress, Night Eating Syndrome, dan preferensi makan. Instrumen yang digunakan meliputi Night Eating Diagnostic Syndrome, Food Preference for Adolescents and Adults, Pittsburg Sleep Quality Index dan Depression, dan Anxiety and Stress Scale 42 (DASS 42). Analisis data meliputi analisis univariat (distribusi frekuensi), bivariat (uji korelasi), dan multivariat (multiple logistic regression).

Hasil: Sebagian besar subjek penelitian memiliki preferensi terhadap makanan tinggi energi, karbohidrat, lemak, dan natrium (81,9%; 77,1%; 69,5%; 86,7%). Sebagian besar subjek penelitian tidak memiliki preferensi terhadap makanan tinggi protein dan serat (68,6% dan 74,3%). Preferensi terhadap makanan tinggi karbohidrat diprediksi oleh IMT (p=0,004;OR=4,400), preferensi makanan tinggi lemak diprediksi oleh durasi tidur (p=0,045;OR=0,276) dan NES (p=0,009;OR=3,478), preferensi terhadap makanan tinggi serat diprediksi oleh durasi tidur (p=0,001;OR=0,090) dan kualitas tidur (p=0,004;OR=9,463), sedangkan preferensi tinggi natrium diprediksi oleh jenis kelamin (p=0,016; OR=8,613) dan NES (p=0,041; OR=0,201). Faktor stres tidak berhubungan dengan preferensi makanan tinggi energi, karbohidrat, lemak, protein, serat, dan natrium.

Simpulan: Durasi tidur dan kualitas tidur berhubungan dengan preferensi makan mahasiswa, tetapi faktor stres tidak berhubungan dengan preferensi makan mahasiswa. Jenis kelamin, IMT, dan NES juga merupakan faktor yang berhubungan dengan preferensi makan mahasiswa.

Kata Kunci: durasi tidur; kualitas tidur; NES; preferensi makanan

 

ABSTRACT

Title: Correlation between Sleep Duration, Sleep Quality, Stress Factor, and Night Eating Syndrome, With Food Preferences of Universitas Diponegoro College Students

Background: Students are an early adult age group that has a dense activity. Dense activity can affect on sleep time and quality, stress levels, night eating behavior, and food preferences. This study aims to analyze the relationship between sleep duration, sleep quality, stress factors, Night Eating Syndrome (NES), and student eating preferences.

Methods: This study was located in Semarang City. This study used a cross-sectional design with a total of 105 students from Diponegoro University as a subject. The sample was selected by purposive sampling technique. The data collected were sleep duration, sleep quality, stress factors, Night Eating Syndrome, and eating preferences. The instruments used include the Night Eating Diagnostic Syndrome, Food Preference for Adolescents and Adults, the Pittsburgh Sleep Quality Index and Depression, and the Anxiety and Stress Scale 42 (DASS 42). Data analysis includes univariate (frequency distribution), bivariate (correlation test), and multivariate (multiple logistic regression) analysis.

Results: Most of them prefer foods high in energy, carbohydrates, fat, and sodium (81.9%; 77.1%; 69.5%; 86.7%). Most of the research subjects did not prefer foods high in protein and fiber (68.6% and 74.3%). Preference for high-carbohydrate food predicted by BMI (p=0.004; OR=4,400), preference for high-fat food predicted by sleep duration (p=0.045;OR=0.276) and NES (p=0.009;OR=3.478), preference for food high fiber predicted by sleep duration (p=0.001;OR=0.090) and sleep quality (p=0.004;OR=9.463), while high sodium preference predicted by gender (p=0.016; OR=8.613) and NES (p= 0.041; OR = 0.201). Stress factors were not correlated with food preferences high in energy, carbohydrates, fat, protein, fiber, and sodium.

Conclusion: Sleep duration and sleep quality are related to students eating preferences, but stress factors were not related to students' eating preferences. Gender, BMI, and NES are also related to students eating preferences.

Keywords: sleep duration; sleep quality; NES; food preferences

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Keywords: durasi tidur; kualitas tidur; NES; preferensi makanan

Article Metrics:

  1. WHO. Nutrition in adolescence: issues and challenges for th health sector: issues in adolescent health and development. 2005
  2. Tam R, Yassa B, Parker H, O’Connor H, Allman-Farinelli M. University students’ on-campus food purchasing behaviors, preferences, and opinions on food availability. Nutrition. 2017;37:7–13
  3. Kementerian Kesehatan. Riset Kesehatan Dasar. Jakarta; 2013
  4. Kementerian Kesehatan. Hasil Utama Riset Kesehatan Dasar. Kementrian Kesehatan Republik Indonesia. 2018
  5. Sheila Gahagan. The Development of Eating Behavior - Biology and Context. J Dev Behav Pediatr. 2012;33(3):261–71
  6. Roy R, Soo D, Conroy D, Wall CR, Swinburn B. Exploring University Food Environment and On-Campus Food Purchasing Behaviors, Preferences, and Opinions. J Nutr Educ Behav. 2019;51(7):865–75
  7. Godos J, Grosso G, Castellano S, Galvano F, Caraci F, Ferri R. Association between diet and sleep quality : A systematic review. Sleep Med Rev. 2021;57:101430
  8. Rangaraj VR, Knutson KL. Association between sleep deficiency and cardiometabolic disease : implications for health disparities Pituitary gland. Sleep Med. 2016;18:19–35
  9. Bos SC, Soares MJ, Marques M, Maia B, Pereira AT, Nogueira V, et al. Eating Behaviors Disordered eating behaviors and sleep disturbances. Eat Behav. 2013;14(2):192–8
  10. Quick V, Shoff S, Lohse B, White A, Horacek T, Greene G. Eating Behaviors Relationships of eating competence , sleep behaviors and quality , and overweight status among college students. Eat Behav. 2015;19:15–9
  11. Min C, Kim H, Park I, Park B, Kim J, Sim S, et al. The association between sleep duration , sleep quality , and food consumption in adolescents : A cross-sectional study using the Korea Youth Risk Behavior Web-based Survey. 2018;1–9
  12. Leiferman AL. Influencing Food Choice : Effects of Stress and Sleep Deprivation on Dietary Habits of Young Adults Influencing Food Choice : Effects of Stress and Sleep Deprivation on Dietary Habits of Young Adults. 2017;15
  13. Leenaars CHC, Zant JC, Aussems A, Faatz V, Snackers D, Kalsbeek A. Physiology & Behavior The Leeds food preference questionnaire after mild sleep restriction — A small feasibility study ☆ , ☆☆. Physiol Behav. 2016;154:28–33
  14. Jansen EC, Peterson KE, Lumeng JC, Kaciroti N, Lebourgeois MK, Chen K, et al. Associations between Sleep and Dietary Patterns among Low-Income Children Attending Preschool. J Acad Nutr Diet. 2019;119(7):1176–87
  15. Farhangi MA. Night Eating Syndrome and Its Relationship with Emotional Eating, Sleep Quality and Nutritional Status Among Adolescents’ Boys. Community Ment Health J. 2019;55(8):1411–8
  16. Yahia N, Brown C, Potter S, Szymanski H, Smith K, Pringle L, et al. Night eating syndrome and its association with weight status, physical activity, eating habits, smoking status, and sleep patterns among college students. Eat Weight Disord. 2017;22(3):421–33
  17. Qin L, Li J, Wang Y, Wang J, Xu J, Kaneko T. The effects of nocturnal life on endocrine circadian patterns in healthy adults. Life Sci. 2003;73:2467–75
  18. Allison KC, Goel N. Physiology & Behavior Timing of eating in adults across the weight spectrum : Metabolic factors and potential circadian mechanisms. Physiol Behav. 2018;192(November 2017):158–66
  19. Lopez-minguez J, Saxena R, Bandín C, Scheer FA, Garaulet M. Late dinner impairs glucose tolerance in MTNR1B risk allele carriers : A randomized , cross-over study. Clin Nutr. 2018;37(4):1133–40
  20. Sominsky L, Spencer SJ. Eating behavior and stress : a pathway to obesity. Front Psychol. 2014;5(May):1–8
  21. Laís A, Garrido F, Sousa A De, Teixeira P, Habib G, Pellegrino P, et al. Eating habits , sleep , and a proxy for circadian disruption are correlated with dyslipidemia in overweight night workers. 2021;83
  22. Monteleone E, Spinelli S, Dinnella C, Endrizzi I, Laureati M, Pagliarini E, et al. Screen time is associated with dietary intake in overweight. Physiol Behav. 2019;113(1):100–7
  23. Guo Y, Miller MA, Cappuccio FP. Nutrition , Metabolism & Cardiovascular Diseases Short duration of sleep and incidence of overweight or obesity in Chinese children and adolescents : A systematic review and meta- analysis of prospective studies. Nutr Metab Cardiovasc Dis. 2021;31(2):363–71
  24. Tubbs AS, Khader W, Fernandez F, Grandner MA. ScienceDirect The common denominators of sleep , obesity , and psychopathology. Curr Opin Psychol. 2020;34:84–8
  25. Sastroasmoro S, Ismael S. Dasar-Dasar Metode Penelitian Klinis. 5th ed. Jakarta: Sagung Seto; 2014
  26. Smith A. Food preference questionnaire for adolescents and adults. 44(page 5)
  27. Geliebter A. Night Eating Diagnostic Questionnaire ( NEDQ ) Revised ( 9 / 2014 ). 2017;(August)
  28. Buysse DJ, III CF reynolds, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index (PSQI): A new instrument for psychiatric practice and research. Psychiatry Res. 1988;28:193–213
  29. Sukmawati NMH, Putra IGSW. Reliabilitas Kusioner Pittsburgh Sleep Quality Index ( Psqi ) Versi Bahasa Indonesia Dalam Mengukur. J Lngkungan dan Pembang. 2019;3(2):30–8
  30. NovoPsych. Depression Anxiety Stress Scales - Long Form (DASS-42). 1995
  31. Fernandes AC, Oliveira RC, Rodrigues VM, Fiates GMR, Proença RP. Perceptions of university students regarding calories, food healthiness, and the importance of calorie information in menu labelling. Appetite. 2015;91:173–8
  32. Bernardo GL, Jomori MM, Fernandes AC, Colussi CF, Condrasky MD, Proença RP da C. Positive impact of a cooking skills intervention among Brazilian university students: Six months follow-up of a randomized controlled trial. Appetite. 2018;130(July):247–55
  33. Muharni, Mairyiani H, Ryanti S. Perbedaan Pola Makan , Aktivitas Fisik dan Status Gizi antara Mahasiswa Indekos dan Tidak Indekos Poltekkes Kemenkes Riau. J Prot Kesehat. 2015;4(1):7–14
  34. Navarro-Prado S, González-Jiménez E, Perona JS, Montero-Alonso MA, López-Bueno M, Schmidt-RioValle J. Need of improvement of diet and life habits among university student regardless of religion professed. Appetite. 2017;114:6–14
  35. Gazibara T, Kisic Tepavcevic DB, Popovic A, Pekmezovic T. Eating habits and body-weights of students of the University of Belgrade, Serbia: A cross-sectional study. J Heal Popul Nutr. 2013;31(3):330–3
  36. Brunt AR, Rhee YS. Obesity and lifestyle in U.S. college students related to living arrangemeents. Appetite. 2009;51(3):615–21
  37. Sada M, Hadju V, Dachian DM. Hubungan Body Image, Pengetahuan Gizi Seimbang, Dan Aktivitas Fizik Terhadap Status Gizi Mahasiswa Politeknik Kesehatan Jayapura. 2012;44–9
  38. Jr MGM, Leibel RL, Seeley RJ, Schwartz MW. Obesity and Leptin Resistance: Distinguishing Cause from Effect. Trends Endocrinol Metab. 2010;21(11):643–51
  39. Jauziyah S, Nuryanto N, Tsani AFA, Purwanti R. Pengetahuan Gizi Dan Cara Mendapatkan Makanan Berhubungan Dengan Kebiasaan Makan Mahasiswa Universitas Diponegoro. J Nutr Coll. 2021;10(1):72–81
  40. Noorwali EA, Cade JE, Burley VJ, Hardie LJ. The relationship between sleep duration and fruit/vegetable intakes in UK adults: A cross-sectional study from the National Diet and Nutrition Survey. BMJ Open. 2018;8(4):1–9
  41. Greer SM, Goldstein AN, Walker MP. Do you feel you are able to recognize patients who are low health literate. 2014;
  42. Nix S. Williams’ basic nutrition and diet therapy. fifteenth. St. Louis, Missouri: Elsevier; 2017. 13–184 p
  43. Burgard SA, Ailshire JA, Burgartt SA, Ailshireb JA. among U . S . Adults. 2019;78(1):51–69
  44. Vl M, Ph Q, Student D, Guazzelli C, Ph M, Student D, et al. Emotional eating , binge eating , physical inactivity , and vespertine chronotype are negative predictors of dietary practices during COVID- 19 social isolation : A cross-sectional study. 2021;90
  45. Ogilvie RP, Lutsey PL, Widome R, Laska MN, Larson N, Neumark-sztainer D. from Project EAT. 2018;21(4):689–701
  46. Nolan LJ, Geliebter A. “ Food addiction ” is associated with night eating severity. Appetite. 2016;98:89–94
  47. Noorwali E, Hardie L, Cade J. Bridging the Reciprocal Gap between Sleep and Fruit and Vegetable Consumption : A Review of the Evidence , Potential Mechanisms , Implications , and. 2019;
  48. Deshmukh PR, Sinha N, Dongre AR. Social determinants of stunting in rural area of Wardha, Central India. Med J Armed Forces India [Internet]. 2013;69(3):213–7. Available from: http://dx.doi.org/10.1016/j.mjafi.2012.10.004
  49. Yang Y, Zhao L, Wu Q, Xiang Y. Systematic Reviews and Meta- and Pooled Analyses Association Between Dietary Fiber and Lower Risk of All-Cause Mortality : A Meta-Analysis of Cohort Studies. Am J Epidemiol. 2015;181(2):83–91

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