DOI: https://doi.org/10.14710/jgi.10.2.103-113

Unhealthy Diets among Adult Populations in Sleman Districts, Yogyakarta: Pattern and Related Sociodemographic Determinants, Findings from Sleman HDSS

1Sleman Health and Demographic Surveillance System (HDSS), Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Indonesia

2Department of Health and Nutrition, Nutrition and Health Building, Farmako Street, North Sekip, Faculty of Medicine, Public Health and Nursing (FK-KMK), Universitas Gadjah Mada, Indonesia

Received: 30 Jul 2021; Published: 1 Jun 2022.

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Abstract

Background: In Yogyakarta Province, the Sleman Regency has the second-highest life expectancy at birth and a high prevalence of non-communicable diseases (NCDs). One of the common NCD risk factors is an unhealthy diet. Thus, it is important to understand the factors that influence an unhealthy diet.

Objective: This study aimed to determine sociodemographic factors associated with an unhealthy diet intake in the Sleman Regency population.

Materials and Methods: Cross-sectional data from 4,963 adult respondents of the Sleman Health and Demographic Surveillance System was analyzed. A Descriptive test was done to measure the consumption frequency of sweet food and beverages, salty food, high-fat food, and food with monosodium glutamate (MSG). Generalized logistic regression was used to determine socioeconomic factors (residential area, age, gender, education level, marital status, and household wealth) that were associated with a higher frequency of unhealthy food consumption.

Results: The majority of respondents reported frequent consumption of sweet food and beverages (82.4%), food that contains high fat (62%), and MSG (75.5%). About 46% of respondents reported frequent consumption of salty food.

Conclusion: Education level, sex, age, household wealth status, and residential area are important determinants of a healthy diet.

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Keywords: Eating habits, Non-communicable diseases, Risk factors, Sociodemographic
Funding: Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia under contract UPPM/125/M/05/04/04.16

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  1. WHO. Noncommunicable diseases key facts. World Health Organisation. doi: 10.1080/0003681031000154918
  2. WHO (World Health Organization). Global Health Observatory (GHO) data: NCD mortality and morbidity. https://www.who.int/gho/ncd/mortality_morbidity/en/. Published 2016
  3. World Health Organization. World Health Organization - Noncommunicable Disease (NCD) County Profiles 2018: Indonesia. 2018:2018
  4. World Health Organization. Global health estimates: Leading causes of death. https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death. Published 2019. Accessed June 2, 2021
  5. Ministry of Health Republic of Indonesia. Riset Kesehatan Dasar RISKESDAS Dalam Angka Daerah Istimewa Yogyakarta Tahun 2013 (The Indonesia Basic Health Research: D I Yogyakarta Province in Figures 2013). Vol 2. Jakarta; 2013. http://terbitan.litbang.kemkes.go.id/penerbitan/index.php/lpb/catalog/download/96/119/305-1
  6. Ministry of Health Republic of Indonesia. Laporan Nasional RISKESDAS 2018 (Indonesia Basic Health Research Profile 2018). Jakarta; 2019. http://labdata.litbang.kemkes.go.id/ccount/click.php?id=19
  7. Alwan A, MacLean DR. A review of non-communicable disease in low- and middle-income countries. Int Health. 2009;1(1):3-9. doi: 10.1016/j.inhe.2009.02.003
  8. Roses-Periago M. Fiscal stability, economic growth and non-communicable diseases. G20 Mex. 2012:164-165. https://www.paho.org/hq/dmdocuments/2012/G20-LosCabosSummit-June2012-ArticleMR.pdf
  9. Chaker L, Falla A, van der Lee SJ, et al. The global impact of non-communicable diseases on macro-economic productivity: a systematic review. Eur J Epidemiol. 2015;30(5):357-395. doi: 10.1007/s10654-015-0026-5
  10. Forouzanfar MH, Afshin A, Alexander LT, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1659-1724. doi: 10.1016/S0140-6736(16)31679-8
  11. WHO (World Health Organization). Global Strategy on Diet, Physical Activity and Health. Vol 2002.; 2004. https://www.who.int/dietphysicalactivity/strategy/eb11344/strategy_english_web.pdf
  12. Wekesah FM, Nyanjau L, Kibachio J, et al. Individual and household level factors associated with presence of multiple non-communicable disease risk factors in Kenyan adults. BMC Public Health. 2018;18(S3):1220. doi: 10.1186/s12889-018-6055-8
  13. BPS-Statistics of D I Yogyakarta Province. Angka Harapan Hidup 2013-2015. https://yogyakarta.bps.go.id/indicator/26/29/1/angka-harapan-hidup.html. Published 2015. Accessed June 2, 2021
  14. BPS-Statistics Indonesia. Angka Harapan Hidup (AHH) menurut Provinsi dan Jenis Kelamin, 2010-2018. https://www.bps.go.id/linkTableDinamis/view/id/1114. Published 2019. Accessed June 2, 2021
  15. BPS-Statistics of D I Yogyakarta Province. Angka Harapan Hidup. BPS-Statistics of D I Yogyakarta Province. https://yogyakarta.bps.go.id/dynamictable/2017/08/02/24/angka-harapan-hidup.html. Published 2016. Accessed July 14, 2019
  16. Ford ND, Patel SA, Narayan KMV. Obesity in Low- and Middle-Income Countries: Burden, Drivers, and Emerging Challenges. Annu Rev Public Health. 2017;38(1):145-164. doi: 10.1146/annurev-publhealth-031816-044604
  17. Dewi FST, Choiriyyah I, Indriyani C, et al. Designing and collecting data for a longitudinal study: the Sleman Health and Demographic Surveillance System (HDSS). Scand J Public Health. 2017;(March):1-7. doi: 10.1177/1403494817717557
  18. Badan Penelitian dan Pengembangan Kesehatan. Pedoman Pengisian Kuesioner Riset Kesehatan Dasar. 2013:122. https://labmandat.litbang.kemkes.go.id/riset-badan-litbangkes/menu-riskesnas/menu-riskesdas/374-rkd-2013
  19. Organisation for Economic Co-operation and Development. Indonesia Education at a Glance. OECD Ctry Note. 2019:1-5. https://www.oecd.org/education/education-at-a-glance/
  20. Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459-468. doi: 10.1093/heapol/czl029
  21. Williams R. Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables. Stata J Promot Commun Stat Stata. 2006;6(1):58-82. doi: 10.1177/1536867X0600600104
  22. Williams R. Understanding and interpreting generalized ordered logit models. J Math Sociol. 2016;40(1):7-20. doi: 10.1080/0022250X.2015.1112384
  23. Chambers S, Lobb A, Butler LT, Traill WB. The influence of age and gender on food choice: a focus group exploration. Int J Consum Stud. 2008;32(4):356-365. doi: 10.1111/j.1470-6431.2007.00642.x
  24. van Dam RM, Grievink L, Ocke MC, Feskens EJ. Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am J Clin Nutr. 2003;77(5):1156-1163
  25. Kaya IH. Motivation Factors of Consumers’ Food Choice. Food Nutr Sci. 2016;07(03):149-154. doi: 10.4236/fns.2016.73016
  26. Kearney M, Kearney J, Dunne A, Gibney M. Sociodemographic determinants of perceived influences on food choice in a nationally representative sample of Irish adults. Public Health Nutr. 2000;3(2):219-226. doi: 10.1017/S1368980000000252
  27. Gardjito, Murdijati; Putri, Rhaesfaty Galih; Dewi S. Profil Struktur, Bumbu, Dan Bahan Dalam Kuliner Indonesia. Yogyakarta: Gadjah Mada University Press; 2018
  28. de Almeida MD, Graça P, Lappalainen R, et al. Sources used and trusted by nationally-representative adults in the European Union for information on healthy eating. Eur J Clin Nutr. 1997;51 Suppl 2(SUPPL. 2):S16-22
  29. Wardle J, Haase AM, Steptoe A, Nillapun M, Jonwutiwes K, Bellisie F. Gender differences in food choice: The contribution of health beliefs and dieting. Ann Behav Med. 2004;27(2):107-116. doi: 10.1207/s15324796abm2702_5
  30. Ovaskainen ML, Reinivuo H, Tapanainen H, Hannila ML, Korhonen T, Pakkala H. Snacks as an element of energy intake and food consumption. Eur J Clin Nutr. 2006;60(4):494-501. doi: 10.1038/sj.ejcn.1602343
  31. Fanelli Kuczmarski M, Cotugna N, Pohlig RT, et al. Snacking and Diet Quality Are Associated With the Coping Strategies Used By a Socioeconomically Diverse Urban Cohort of African-American and White Adults. J Acad Nutr Diet. 2017;117(9):1355-1365. doi: 10.1016/j.jand.2017.02.010
  32. World Food Programme. An Eating Habit Study: Factors that could influence adolescents to eat more vegetables. 2017;(December). Available at: https://www.wfp.org/publications/2017-indonesia-eating-habit-study
  33. Sobal J, Bisogni CA, Devine CM, Jastran M. A conceptual model of the food choice process over the life course. In: Shepherd, Richard; Raats M, ed. The Psychology of Food Choice. Wallingford: CABI; 2006:1-18. doi: 10.1079/9780851990323.0001
  34. Marques-vidal P, Paccaud F, Bovet P, Stringhini S, Maye A. Socioeconomic determinants of dietary patterns in low- and middle-income countries : a systematic review. Am J Clin Nutr. 2014;100:1520-1531. doi: 10.3945/ajcn.114.089029
  35. Niaz K, Zaplatic E, Spoor J. Extensive use of monosodium glutamate: A threat to public health? EXCLI J. 2018;17:273-278. doi: 10.17179/excli2018-1092
  36. Kazmi Z, Fatima I, Perveen S, Malik SS. Monosodium glutamate: Review on clinical reports. Int J Food Prop. 2017;20(2):1-9. doi: 10.1080/10942912.2017.1295260
  37. Radam A, Yacob MR, Bee TS, Selamat J. Consumers’ Perceptions, Attitudes and Willingness to Pay towards Food Products with “No Added Msg” Labeling. Int J Mark Stud. 2010;2(1):65-77. doi: 10.5539/ijms.v2n1p65
  38. Zhang J, Wang D, Eldridge AL, et al. Urban–rural disparities in energy intake and contribution of fat and animal source foods in chinese children aged 4–17 years. Nutrients. 2017;9(5):1-9. doi: 10.3390/nu9050526
  39. Drewnowski A, Popkin BM. The Nutrition Transition: New Trends in the Global Diet. Nutr Rev. 2009;55(2):31-43. doi: 10.1111/j.1753-4887.1997.tb01593.x
  40. Popkin BM. Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases1–3. Am J Clin Nutr. 2006;84(2):289-298. doi: 10.1093/ajcn/84.1.289

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