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Evaluating the food consumption among Indonesian young adults lived in a different environment

*Rany Adelina orcid scopus  -  Undergraduate Program in Applied Nutrition and Dietetics, Department of Nutrition, Poltekkes Kemenkes Malang, Indonesia
Esti Nurwanti  -  Department of Nutrition, Universitas Alma Ata, Indonesia
Rathi Paramastri  -  International PhD Program in School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taiwan
Carissa Cerdasari  -  Dietisien Professional Education Study Program, Department of Nutrition, Poltekkes Kemenkes Malang, Indonesia
Jane C J Chao  -  School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taiwan
Received: 1 May 2021; Published: 22 Dec 2021.

Citation Format:
Abstract

Background: Indonesian young adults who live abroad usually buy meals from café or catering. These meals tend to be less nutritious, including high fat, low fiber, and high carbohydrate.


Objective: This study aimed to investigate the pattern of food consumption among young Indonesian adults who lived in a different environment.


Materials and Methods: A cross-sectional observational study was carried out with 497 participants (73 men and 420 women). Data were collected using a validated food frequency questionnaire (FFQ) of 78 food groups. In addition, the Mann-Whitney U test was conducted to compare consumption patterns among study participants who lived in a different environment (Malang city, East Java, Indonesia, and Taipei City, Taiwan). Furthermore, the Chi-Square test and Fisher’s exact test analyzed the consumption level by gender.


Results: Our study indicated no significant differences between food consumption of Indonesian young adults in Malang city, Indonesia, and Taipei City, Taiwan (p=0.623). Meanwhile, beverage (tea) was significantly different between gender in the home country (p=0.005). In contrast, participants who lived abroad showed significantly different consumption levels of fast food (instant noodle) and plant protein source (tofu) across gender (p=0.01 and p=0.02).


Conclusion: The present study showed that fruits were often changed into juices, especially more frequent in a home country than abroad. Meanwhile, several food items, including beverages (tea), fast food, and plant protein source (tofu), showed significant differences across gender.

Note: This article has supplementary file(s).

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Figure 1. Food Consumption of Young Adults in Indonesia (n=397)
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Figure 2. Food Consumption of Young Adults in Taiwan (n=100)
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Table 1. The Comparison of Food Consumption in Home Country (Indonesia) and Abroad (Taiwan) (n=497)
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Table 2. Characteristic of Level Consumption according to Gender in Home Country (Indonesia) and Abroad (Taiwan) (n=497)
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Keywords: food consumption; young adults; Indonesian-style diet

Article Metrics:

  1. Syihab SF, Sultani K, Suherman A. Association between types of domicile and nutritional status of college students in Indonesia. In: 1st International Conference on Education Social Sciences and Humanities (ICESSHum 2019). 2019. Atlantis Press
  2. Doo M, Kim Y. The consumption of dietary antioxidant vitamins modifies the risk of obesity among Korean men with short sleep duration. Nutrients. 2017;9(7):780
  3. Lee JM, Contento I, Gray HL. Change in food consumption and food choice determinants among East Asian international students in New York. J Hung Env Nutr. 2018
  4. Bezerra IN, Curioni C, Sichieri R. Association between eating out of home and body weight. Nutr Rev. 2012;70(2):65–79
  5. Choi MK, Lee YK, Heo YR, Hyun T, Lyu ES, Park H, Ro HK, Bae YJ. Association between the Frequency of Dining Out and the Risk of Obesity, Diabetes Mellitus, and Dyslipidemia among Korean Adults. Eco Food Nutr. 2019;58(6):560–574
  6. Binkley JK. The effect of demographic, economic, and nutrition factors on the frequency of food away from home. J Cons Aff. 2006;40(2):372–391
  7. Larson N, Neumark-Sztainer D, Laska MN, Story M. Young adults and eating away from home: associations with dietary intake patterns and weight status differ by choice of restaurant. J Am Diet Asc. 2011;111(11):1696–1703
  8. Rachmania DA. Perbedaan status obesitas berdasarkan konsumsi junk food pada anak sekolah SD Negeri 3 Serangan Denpasar Provinsi Bali. 2020. Poltekkes Kemenkes Denpasar
  9. Pramono A, Sulchan M. Kontribusi makanan jajan dan aktivitas fisik terhadap kejadian obesitas pada remaja di kota Semarang. Gizi Indonesia. 2014;37(2):129–136
  10. Singh GM, Danaei G, Farzadfar F, Stevens GA, Woodward M, Wormser D, Kaptoge S, Whitlock G, Qiao Q, Lewington S. The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PloS one. 2013;8(7):e65174
  11. [WHO] World Health Organization. Obesity and overweight. 2020. [online]
  12. Departemen Kesehatan Republik Indonesia. 2003. Petunjuk Teknis Pemantauan Status Gizi Orang Dewasa dengan Indeks Massa Tubuh (IMT). Dirjen Binkemas dan Gizi Masyarakat. Jakarta
  13. Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, Gortmaker SL. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378(9793):804–814
  14. Nurwanti E, Uddin M, Chang JS, Hadi H, Syed-Abdul S, Su ECY, Nursetyo AA, Masud JHB, Bai CH. Roles of sedentary behaviors and unhealthy foods in increasing the obesity risk in adult men and women: A cross-sectional national study. Nutrients. 2018;10(6). https://doi.org/10.3390/nu10060704
  15. Adelina R. BMI Correlated to Dietary Pattern of Indonesian College Students Lives in Taipei City , Taiwan. Pak J Med H Sci. 2018;12(3):1308–1312
  16. Adelina R, Nurwanti E. Examining the differences of food-related behavior in two different countries. Nutr Food Sci. 2019;49(4)
  17. Leech RM, Worsley A, Timperio A, McNaughton S. Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality. Nutr Res Rev. 2015;28(1):1– 21. https://doi.org/https ://doi.org/10.1017/S0954 42241 40002 62
  18. [WHO] World Health Organization. Global status report on non-communicable diseases 2014. 2014. Geneva (Switzerland): WHO
  19. National Health and Medical Research Council. Australian dietary guidelines. 2013. Canberra (Australia): National Health and Medical Research Council
  20. Sodusta DJP, Setiawan R, Setiawan B. Navigating New Waters: Indonesian Muslims Practicing Islam in A Taiwanese University. Adv Intel Syst Res. 2018. 157:13–17
  21. Yoneyama S, Sakurai M, Nakamura K, Morikawa Y, Miura K, Nogawa K, Suwazono Y, Sasaki S, Nakagawa H. Associations between Rice, Noodle, and Bread Intake and Sleep Quality in Japanese Men and Women. PloS one. 2014;9(8):1–11
  22. Fraser L, Clarke G, Cade J, Edwards K. Fast food and obesity. Am J Prev Med. 2012;42:e77–e85
  23. Buijsse B, Feskens E, Schulze M, et al. Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes). Am J Clin Nutr. 2009;90:202–209
  24. Bhupathiraju S, Wedick N, Pan A, Al E. Quantity and variety in fruit and vegetable intake and risk of coronary heart disease. Am J Clin Nutr. 2013;98:1514–1523
  25. Carter P, Gray L, Troughton J, Khunti K, Davies M. Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta- analysis. BMJ. 2010;341:c4229
  26. Cahill L, Pan A, Chiuve S, Al E. Fried-food consumption and risk of type 2 diabetes and coronary artery disease: a prospective study in 2 cohorts of US women and men. Am J Clin Nutr. 2014;100:667–675
  27. Kann L, Kinchen S, Shanklin S, et al. Youth Risk Behavior Surveillance. In: MMWR Suppl. United States. 2014;2013:1–168
  28. Demura, S. et al. Gender differences in coffee consumption and its effects in young people. Food Nutr. Sci. 4, 748 (2013)
  29. Huh, I. S. et al. Instant noodle consumption is associated with cardiometabolic risk factors among college students in Seoul. Nutr. Res. Pract. 11, 232–239 (2017)
  30. Powell L, Nguyen B. Fast-food and full-service restaurant consumption among children and adolescents: effect on energy, beverage, and nutrient intake. JAMA Pediatr. 2013;167:14–20
  31. Vuong Q. Epidemiological evidence linking tea consumption to human health: a review. Crit Rev Food Sci Nutr. 2014;54:523–536
  32. Fagherazzi G, Vilier A, Saes Sartorelli D, Lajous M, Balkau B, Clavel-Chapelon F. Consumption of arti- ficially and sugar-sweetened beverages and incident type 2 diabetes in the Etude Epidemiologique aupres des femmes de la Mutuelle Generale de l’Education Nationale-European Prospective Investigation into Cancer and Nutrition cohort. Am J Clin Nutr. 2013;97:517–523
  33. Crowe-White K, O’Neil C, Parrott J, Benson-Davies S, Droke E, Gutschall M, Stote K, Wolfram T, Ziegler P. Impact of 100% fruit juice consumption on diet and weight status of children: an evidence-based review. Crit Rev Food Sci Nutr. 2016;56:871–884
  34. Saltaouras G, Shaw P, Fraser A, Hawes C, Smith H, Handley L, Whitby H, Thondre S, Lightowler H. Glycaemic index, glycaemic load and dietary fibre characteristics of two commercially available fruit smoothies. Inter J Food Sci Nutr. 2019;70(1):116–123. https://doi.org/10.1080/09637486.2018.1481201
  35. Brunkwall L, Almgren P, Hellstrand S, Orho-melander M, Ericson U, Brunkwall L, Almgren P, Hellstrand S, Orho-melander M. Commonly consumed beverages associate with different lifestyle and dietary intakes and dietary intakes. Inter J Food Sci Nutr. 2019;70(1):88–97. https://doi.org/10.1080/09637486.2018.1466272
  36. Leech RM, Livingstone KM, Worsley A, Timperio A, McNaughton SA. Meal Frequency but Not Snack Frequency Is Associated with Micronutrient Intakes and Overall Diet Quality in Australian Men and. J Nutr. 2016;146:2027–2034. https://doi.org/10.3945/jn.116.234070.2027
  37. Story M, Neumark-Sztainer D, French S. Individual and environmental influences on adolescent eating behaviors. J Am Diet Assoc. 2002;102:S40–S51

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