Food Consumption in Relation to Hyperglycemia in Middle-Aged Adults (45−59 years): A Cross-Sectional National Data Analysis
The study aimed to investigate the association between food consumption with hyperglycemia among middle-aged adults in Indonesia. This cross-sectional study utilized secondary data from the 2018 Indonesia Basic Health Survey (IBHS). A total of 8,477 subjects met the inclusion criteria and included in this study. Fasting Blood Glucose (FBG) was analyzed in the laboratory using an enzymatic analysis. The fasting blood glucose was categorized as hyperglycemia (≥126 mg/dl) and normal (<126 mg/dl). A food frequency questionnaire was used to assess the food intake. Multiple logistic regression was used to analyze the association of food consumption and hyperglycemia. Our results found that the prevalence of hyperglycemia in this population was 43%. The mean FBG was 104.68±31.99 mg/dL for male and 110.75±43.92 mg/dl for female subjects. Frequent consumption of sweet desserts (OR=1.265; CI=1.132, 1.413), Sugar-Sweetened Beverages (SSB) (OR=1.433; 95% CI:1.263−1.626), salty foods (OR=1.189; 95% CI=1.079−1.311), fried foods (OR=1.172; 95% CI=1.033−1.331), and instant foods (OR=1.186; 95 % CI=1.088−1.293) were significantly associated with increased odds of hyperglycemia. There was a significant association between food consumption and hyperglycemia among middle-aged adults in Indonesia.
Cahill LE, Pan A, Chiuve SE, Sun Q, Willett WC, Hu FB, Rimm EB. 2014. 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 100(2):667−675. https://doi.org/10.3945/ajcn.114.084129
Helal EG, Barayan AW, Abdelaziz MA, El-Shenawe NS. 2019. Adverse effects of mono sodium glutamate, sodium benzoate and chlorophyllins on some physiological parameters in male albino rats. Egypt J Hosp Med 74(8):1857−1864. https://doi.org/10.21608/ejhm.2019.28865
Huh IS, Kim H, Jo HK, Lim CS, Kim JS, Kim SJ, Kwon O, Oh B, Chang N. 2017. Instant noodle consumption is associated with cardiometabolic risk factors among college students in Seoul. Nutr Res Pract 11(3):232−239. https://doi.org/10.4162/nrp.2017.11.3.232
Jiang B, Zheng Y, Chen Y, Chen Y, Li Q, Zhu C, Wang N, Han B, Zhai H, Lin D, et al. 2018. Age and gender-specific distribution of metabolic syndrome components in East china: Role of hypertriglyceridemia in the SPECT-China study. Lipids Health Dis 17(1):1−11. https://doi.org/10.1186/s12944-018-0747-z
Jusuf H, Rahma S, Monayo ER. 2020. Food consumption behavior and their association with metabolic syndrome: A cross-sectional study of adult in Gorontalo province, Indonesia. Syst Rev Pharm 11(5):556−561. https://doi.org/10.31838srp.2020.5.72
Kahn R. 2003. Follow-up report on the diagnosis of diabetes mellitus: The expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 26(11):3160−3167. https://doi.org/10.2337/diacare.26.11.3160
Lambrinou E, Hansen TB, Beulens JW. 2019. Lifestyle factors, self-management and patient empowerment in diabetes care. Eur J Prev Cardiol 26(2_suppl):55−63. https://doi.org/10.1177/2047487319885455
Lo YTC, Wahlqvist ML, Huang YC, Lee MS. 2016. Elderly Taiwanese who spend more on fruits and vegetables and less on animal-derived foods use less medical services and incur lower medical costs. Br J Nutr 115(5):823−833. https://doi.org/10.1017/S0007114515005140
Loader J, Meziat C, Watts R, Lorenzen C, Sigaudo-Roussel D, Stewart S, Reboul C, Meyer G, Walther G. 2017. Effects of sugar-sweetened beverage consumption on microvascular and macrovascular function in a healthy population. Arterioscler Thromb Vasc Biol 37(6):1250−1260. https://doi.org/10.1161/ATVBAHA.116.308010
[MoH RI] Ministry of Health Republic of Indonesia. 2018. Riset kesehatan dasar. Jakarta (ID): MoH RI.
Medina-Remón A, Kirwan R, Lamuela-Raventós RM, Estruch R. 2018. Dietary patterns and the risk of obesity, type 2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative diseases. Crit Rev Food Sci Nutr 58(2):262−296. https://doi.org/10.1080/10408398.2016.1158690
Mihardja L, Soetrisno U, Soegondo S. 2014. Prevalence and clinical profile of diabetes mellitus in productive aged urban indonesians. Journal of diabetes investigation 5(5):507−512. https://doi.org/10.1111/jdi.12177
Min KH, Yang WM, Lee W. 2018. Saturated fatty acids-induced mir-424-5p aggravates insulin resistance via targeting insulin receptor in hepatocytes. Biochem Biophys Res Commun 503(3):1587−1593. https://doi.org/10.1016/j.bbrc.2018.07.084
Naghavi M, Abajobir AA, Abbafati C, Abbas KM, Abd-Allah F, Abera SF, Aboyans V, Adetokunboh O, Afshin A, Agrawal A et al. 2017. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980−2016: A systematic analysis for the global burden of disease study 2016. Lancet 390(10100):1151−1210.
Naja F, Nasreddine L, Itani L, Adra N, Sibai AM, Hwalla N. 2013. Association between dietary patterns and the risk of metabolic syndrome among lebanese adults. Eur J Nutr 52(1):97−105. https://doi.org/10.1007/s00394-011-0291-3
Nur A, Fitria E, Zulhaida A, Hanum S. 2016. Hubungan pola konsumsi dengan diabetes melitus tipe 2 pada pasien rawat jalan di rsud dr. Fauziah bireuen provinsi aceh. Media Litbangkes 26(3):145−150. https://doi.org/10.22435/mpk.v26i3.4607.145-150
Permatasari ZA, Syauqy A. Food consumption and dyslipidemia in middle-aged adults in Indonesia: A cross-sectional national study. Nutr Health p.02601060221139910. https://doi.org/10.1177/02601060221139910
Prasad K, Dhar I. 2014. Oxidative stress as a mechanism of added sugar-induced cardiovascular disease. Int J Angiol 23(4):217−226. https://doi.org/10.1055/s-0034-1387169
Samaan RA. 2017. Dietary Fiber for the Prevention of Cardiovascular Disease: Fiber's Interaction Between Gut Microflora, Sugar Metabolism, Weight Control and Cardiovascular Health. Los Angeles (USA): Academic Press.
Schwingshackl L, Hoffmann G, Lampousi AM, Knüppel S, Iqbal K, Schwedhelm C, Bechthold A, Schlesinger S, Boeing H. 2017. Food groups and risk of type 2 diabetes mellitus: A systematic review and meta-analysis of prospective studies. Eur J Epidemiol 32(5):363−375. https://doi.org/10.1007/s10654-017-0246-y
Sudargo T, Fathsidni BMR, Zakia DF, Rachmawati YN, Hariawan MH, Muslichah R, Paramastri R. 2018. Association between blood lead, nutritional status, and risk factors of hypertension and diabetes mellitus: A study in female traffic police officers in Yogyakarta. J Gizi Pangan 13(2):87−92. https://doi.org/10.25182/jgp.2018.13.2.87-92
Syauqy A, Hsu CY, Rau HH, Chao JC. 2018. Association of dietary patterns with components of metabolic syndrome and inflammation among middle-aged and older adults with metabolic syndrome in taiwan. Nutrients 10(2):143. https://doi.org/10.3390/nu10020143
Verma H, Garg R. 2017. Effect of magnesium supplementation on type 2 diabetes associated cardiovascular risk factors: A systematic review and meta-analysis. J Hum Nutr Diet 30(5):621−633. https://doi.org/10.1111/jhn.12454
Wu L, Lin H, Gao J, Li X, Xia M, Wang D, Aleteng Q, Ma H, Pan B, Gao X. 2017. Effect of age on the diagnostic efficiency of HbA1c for diabetes in a Chinese middle-aged and elderly population: The Shanghai changfeng study. Plos One 12(9):e0184607. https://doi.org/10.1371/journal.pone.0184607
Zhang M, Zhu Y, Li P, Chang H, Wang X, Liu W, Zhang Y, Huang G. 2015. Associations between dietary patterns and impaired fasting glucose in Chinese men: A cross-sectional study. Nutrients 7(9):8072−8089. https://doi.org/10.3390/nu7095382
Zhao Y, Gao P, Sun F, Li Q, Chen J, Yu H, Li L, Wei X, He H, Lu Z, et al. 2016. Sodium intake regulates glucose homeostasis through the PPARδ/adiponectin-mediated SGLT2 pathway. Cell Metab 23(4):699−711. https://doi.org/10.1016/j.cmet.2016.02.019
Zheng Y, Ley SH, Hu FB. 2018. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol 14(2):88−98. https://doi.org/10.1038/nrendo.2017.151