Pengaruh chronotype dan tingkat stres terhadap status gizi dengan mediator perilaku makan pada mahasiswa perkuliahan daring

https://doi.org/10.22146/ijcn.70661

Tesa Rafkhani(1*), Mohammad Fanani(2), Adi Magna Patriadi Nuhriawangsa(3)

(1) Program Pascasarjana Ilmu Gizi, Universitas Sebelas Maret, Surakarta
(2) Program Studi Pendidikan Dokter Spesialis Ilmu Kedokteran Jiwa, Fakultas Kedokteran, Universitas Sebelas Maret, Surakarta
(3) Program Studi Peternakan, Fakultas Pertanian, Universitas Sebelas Maret, Surakarta
(*) Corresponding Author

Abstract


The effect of chronotype and stress levels on nutritional status mediated by eating behavior in college students with online lecture

Background: College students are a group at risk of experiencing changes in stress levels, changes in eating behavior, and sleep quality. Unhealthy eating behavior, if done continuously, will lead to weight gain.

Objective: This study aims to analyze the effect of chronotype and stress levels on nutritional status mediated by the eating behavior of college students with online lectures.

Methods: Cross-sectional survey with multistage cluster random sampling on 220 respondents. Chronotype data used by Morningness - Eveningness Questionnaire (MEQ). Stress level data using by Perceived Stress Scale (PSS-10) questionnaire. Eating behavior data was used by Dutch Eating Behavior Questionnaire (DEBQ). Nutritional status data is measured according to body mass index (BMI) by measuring weight (kg) and height (m2). Data were analyzed using Partial Least Square-Structural Equation Model (PLS-SEM) analysis using SmartPLS software.

Results: The results showed that there was a significant indirect effect between chronotype (x1) on nutritional status (y2) mediated by eating behavior (p=0.037) with an impact of 0.085 or 8.5%. In comparison, the magnitude of the direct effect without a mediator was 0.193 or 19.3%. Furthermore, there is a significant indirect effect between stress level (x2) on nutritional status (y2) mediated by eating behavior (p=0.017) with an impact of 0.074 or 7.4%. The direct effect without a mediator is 0.217 or 21.7%.

Conclusions: There is a significant indirect effect between chronotype and stress level on nutritional status mediated by eating behavior in students with online lectures. During the COVID-19 pandemic, college students should continue to pay attention to healthy eating behavior by preventing emotional eating, setting bedtime earlier, and avoiding stress by increasing physical activity.


Keywords


chronotype; eating behavior; nutritional status; PLS-SEM; stress levels

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References

  1. Angesti AN, Manikam RM. Faktor yang berhubungan dengan status gizi mahasiswa tingkat akhir S1 Fakultas Kesehatan Universitas MH. Thamrin. J Ilm Kesehat. 2020;12(1):1–14. doi: 10.37012/jik.v12i1.135
  2. Ratih RH, Herlina S, Yusmaharani. Hubungan perilaku makan dengan status gizi pada remaja putri di SMAN 2 tambang. J SMART Kebidanan. 2020;7(2):95. doi: 10.34310/sjkb.v7i2.397
  3. Riset Kesehatan Dasar. Laporan Provinsi Jawa Barat Riset Kesehatan Dasar [series online]. 2018 [cited 2021 Mar 30]. Available from: https://labdata.litbang.kemkes.go.id/ccount/click.php?id=19
  4. Hasanah U, Ludiana, Immawati, PH L. Gambaran psikologis mahasiswa dalam proses pembelajaran selama pandemi COVID-19. J Keperawatan Jiwa. 2020;8(3):299–306.
  5. Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, et al. Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 International Online Survey. Nutrients. 2020;12(16):1583. doi: 10.3390/nu12061583
  6. Zachary Z, Forbes B, Lopez B, Pedersen G, Welty J, Deyo A, et al. Self-quarantine and weight gain related risk factors during the COVID-19 pandemic. Obes Res Clin Pract. 2020;14:210–6. doi: 10.1016/j.orcp.2020.05.004
  7. Khare R, Mahour J, Ohary R, Kumar S. Impact of online classes, screen time, naps on sleep, and assessment of sleep-related problems in medical college students during lockdown due to coronavirus disease-19 pandemic. Natl J Physiol Pharm Pharmacol. 2021;11(1):1. doi: 10.5455/njppp.2021.10.09235202006092020
  8. Arora T, Taheri S. Associations among late chronotype, body mass index and dietary behaviors in young adolescents. Int J Obes. 2015;39(1):39–44. doi: 10.1038/ijo.2014.157
  9. Lucassen EA, Zhao X, Rother KI, Mattingly MS, Courville AB, de Jonge L, et al. Evening chronotype is associated with changes in eating behavior, more sleep apnea, and increased stress hormones in short sleeping obese individuals. PLoS One. 2013;8(3). doi: 10.1371/journal.pone.0056519
  10. Firstika Z, Karim D, Woferst R. Hubungan tingkat stres akademik dengan sistem perkuliahan jarak jauh berbasis online terhadap kualitas tidur mahasiswa tahun pertama. Jurnal Online Mahasiswa (JOM) Bidang Ilmu Keperawatan. 2020;7(2):45–53.
  11. Tabroni I, Nauli FA, Arneliwati. Gambaran tingkat stres dan stresor pada mahasiswa keperawatan Universitas Negeri. J Keperawatan. 2021;13(1):149–64.
  12. Järvelä-Reijonen E, Karhunen L, Sairanen E, Rantala S, Laitinen J, Puttonen S, et al. High perceived stress is associated with unfavorable eating behavior in overweight and obese Finns of working age. Appetite. 2016;103:249–58. doi: 10.1016/j.appet.2016.04.023
  13. Al-Rethaiaa AS, Fahmy AEA, Al-Shwaiyat NM. Obesity and eating habits among college students in Saudi Arabia: A cross sectional study. Nutr J. 2010;9(1):1–10. doi: 10.1186/1475-2891-9-39
  14. Dewantari S. Hubungan antara kronotipe dengan BMI (body mass index) pada siswa SMA Negeri 4 Surakarta [Skripsi]. Surakarta: Universitas Muhammadiyah Surakarta; 2017.
  15. Manginte AB. Hubungan antara stres dengan status gizi mahasiswa program S1 keperawatan semester VIII Stikes Tana Toraja Tahun 2015. AgroSainT. 2015;6:3.
  16. Ferdinand A. Stuctural equation modelling dalam penelitian manajemen: aplikasi model-model rumit dalam penelitian untuk tesis magister dan disertasi doktor. 5th ed. Semarang: Universitas Diponegoro; 2014.
  17. Ghozali I. Aplikasi analisis multivariate dengan program SPSS. Semarang: Universitas Diponegoro; 2018.
  18. Yılmaz HÖ, Aslan R, Unal C. Effect of the COVID-19 pandemic on eating habits and food purchasing behaviors of university students. Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal). 2020;15(3):154–9. doi: 10.21109/KESMAS.V15I3.3897
  19. Bertrand L, Shaw K, Ko J, Deprez D, Chilibeck PD, Zello GA. The impact of the coronavirus disease 2019 (COVID-19) pandemic on university students’ dietary intake, physical activity, and sedentary behaviour. Appl Physiol Nutr Metab. 2021;2019(1):265–72. doi: 10.1139/apnm-2020-0990
  20. Flaudias V, Iceta S, Zerhouni O, Rodgers RF, Billieux J, Llorca PM, et al. COVID-19 pandemic lockdown and problematic eating behaviors in a student population. J Behav Addict. 2020;9(3):826–35. doi: 10.1556/2006.2020.00053
  21. Maukonen M, Kanerva N, Partonen T, Kronholm E, Tapanainen H, Kontto J, et al. Chronotype differences in timing of energy and macronutrient intakes: A population-based study in adults. Obesity. 2017;25(3):608–15. doi: 10.1002/oby.21747
  22. Mazri FH, Manaf ZA, Shahar S, Ludin AFM. The association between chronotype and dietary pattern among adults: A scoping review. Int J Envirom Res Public Health. 2020;17:68. doi: 10.3390/ijerph17010068
  23. Böhm S. Sleep and chronotype in adolescents [Dissertation]. Munich: Universitat Zu Mϋnchen; 2012.
  24. Serin Y, Acar Tek N. Effect of circadian rhythm on metabolic processes and the regulation of energy balance. Ann Nutr Metab. 2019;74(4):322–30. doi: 10.1159/000500071
  25. Stenvers DJ, Scheer FAJL, Schrauwen P, la Fleur SE, Kalsbeek A. Circadian clocks and insulin resistance. Nat Rev Endocrinol. 2019;15(2):75–89. doi: 10.1038/s41574-018-0122-1
  26. Paoli A, Tinsley G, Bianco A, Moro T. The influence of meal frequency and timing on health in humans: The role of fasting. Nutrients. 2019;11(4):1–19. doi: 10.3390/nu11040719
  27. Dutta K, Mukherjee R, Sen D, Sahu S. Effect of COVID-19 lockdown on sleep behavior and screen exposure time: an observational study among Indian school children. Biol Rhythm Res. 2020;1–12. doi: 10.1080/09291016.2020.1825284
  28. Kutana S, Lau PH. The impact of the 2019 coronavirus disease (COVID-19) pandemic on sleep health. Can Psychol. 2021;62(1):12–9. doi: 10.1037/cap0000256
  29. Chakraborty P, Mittal P, Gupta MS, Yadav S, Arora A. Opinion of students on online education during the COVID-19 pandemic. Hum Behav Emerg Technol. 2020;(10):1–9. doi: 10.1002/hbe2.240
  30. Rosenwasser AM, Turek FW. Physiology of the mammalian circadian system. Princ Pract Sleep Med. 2017;351–61. doi: 10.1016/b978-0-12-811659-3.00004-9
  31. Mortazavi SAR, Parhoodeh S, Hosseini MA et al. Blocking short-wavelength component of the visible light emitted by smartphones’ screens improves human sleep quality. J Biomed Phys Eng. 2018;4:375–80. doi: 10.5935/1984-0063.20200114
  32. Pritasari, Damayanti D, Nugraheni Tri Lestari. Gizi dalam daur kehidupam [series online]. 2018. [cited Agustus 2021]. Available from: http://r2kn.litbang.kemkes.go.id:8080/handle/123456789/70336
  33. Andiarna F, Kusumawati E. Pengaruh pembelajaran daring terhadap stres akademik mahasiswa selama pandemi COVID-19. Jurnal Psikologi. 2020;16(2):139–49. doi: 10.24014/jp.v16i2.10395
  34. Ji H, Zhang L. Research on college students’ stresses and coping strategies. Asian Soc Sci. 2011;7(10):30–4. doi: 10.5539/ass.v7n10p30
  35. Devi RS, Mohan S. A study on stress and its effects on college students. Int J Sci Eng Appl Sci. 2015;1(7):449–56.
  36. Hamburg ME, Finkenauer C, Schuengel C. Food for love: the role of food offering in empathic emotion regulation. Front Psychol. 2014;5(1):1–9. doi: 10.3389/fpsyg.2014.00032
  37. El Ansari W, Adetunji H, Oskrochi R. Food and mental health: Relationship between food and perceived stress and depressive symptoms among university students in the United Kingdom. Cent Eur J Public Health. 2014;22(2):90–7. doi: 10.21101/cejph.a3941
  38. Yusintha AN, Adriyanto A. Hubungan antara perilaku makan dan citra tubuh dengan status gizi remaja putri usia 15-18 tahun. Amerta Nutr. 2018;2(2):147. doi: 10.20473/amnt.v2i2.2018.147-154
  39. Odrola-Giozonzález P, Planchuelo-Gómez Á, Irurtia MJ, de Luis-García R. Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university. Psychiatry Res . 2020;290(5):113108. doi: 10.1016/j.psychres.2020.113108
  40. Elmer T, Mepham K, Stadtfeld C. Students under lockdown: comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland. PLoS One. 2020;15(7):1–22. doi: 10.1371/journal.pone.0236337
  41. Stadtfeld C, Vo¨ro¨s A, Elmer T, Boda Z, Raabe IJ. Integration in emerging social networks explains academic failure and success. Proceedings of the National Academy of Sciences. 2019;116(3):792–797.
  42. Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, et al. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res. 2020;287:112934. doi: 10.1016/j.psychres.2020.112934



DOI: https://doi.org/10.22146/ijcn.70661

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