Associations between food consumption/dietary habits and the risks of obesity, type 2 diabetes, and hypertension: a cross-sectional study in Jakarta, Indonesia
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
BACKGROUND/OBJECTIVES This study aimed to assess the current mean daily intake of 10 food groups, analyze the sociodemographic factors associated with food consumption, and determine the associations between food consumption/dietary intake and the prevalence rates of obesity, type 2 diabetes (T2D), and hypertension (HTN) in Jakarta, Indonesia. SUBJECTS/METHODS A total of 600 participants aged 20–85 yrs were included in this cross-sectional study. Food consumption and dietary habits were assessed using a food frequency questionnaire. To determine the association between food consumption/dietary habits and the abovementioned diseases, logistic regression analysis was performed. RESULTS The average vegetable and fruit intake was lower, while sugar and salt consumption were higher than that recommended by Indonesia’s national dietary guidelines. A high intake of ultra-processed foods (UPFs) was associated with young age, men, “single” status, a high education level, and employment with a high monthly income. Obesity and T2D were positively correlated with high intakes of cereals and tubers, UPFs, sugars, fats, and oils. Conversely, an inverse association was found between legume, vegetable, and fruit consumption and obesity risk. An inverse correlation was also observed between vegetable consumption and T2D risk. Moreover, a high salt intake was inversely correlated with fruit consumption in terms of HTN risk. Non-indulgence in habitual late-night snacking and refrainment from consuming more than one dish at each meal were also negatively related to the prevalence of obesity, T2D, and HTN. Inverse correlations were also observed between the prevalence rates of T2D and HTN and abstaining from adding sugar to beverages. CONCLUSION Foods high in fat, sugar, and sodium were strongly associated with the risks of obesity, T2D, and HTN. Additionally, poor eating habits were also associated with disease development.
Abstract
BACKGROUND/OBJECTIVES This study aimed to assess the current mean daily intake of 10 food groups, analyze the sociodemographic factors associated with food consumption, and determine the associations between food consumption/dietary intake and the prevalence rates of obesity, type 2 diabetes (T2D), and hypertension (HTN) in Jakarta, Indonesia. SUBJECTS/METHODS A total of 600 participants aged 20–85 yrs were included in this cross-sectional study. Food consumption and dietary habits were assessed using a food frequency questionnaire. To determine the association between food consumption/dietary habits and the abovementioned diseases, logistic regression analysis was performed. RESULTS The average vegetable and fruit intake was lower, while sugar and salt consumption were higher than that recommended by Indonesia’s national dietary guidelines. A high intake of ultra-processed foods (UPFs) was associated with young age, men, “single” status, a high education level, and employment with a high monthly income. Obesity and T2D were positively correlated with high intakes of cereals and tubers, UPFs, sugars, fats, and oils. Conversely, an inverse association was found between legume, vegetable, and fruit consumption and obesity risk. An inverse correlation was also observed between vegetable consumption and T2D risk. Moreover, a high salt intake was inversely correlated with fruit consumption in terms of HTN risk. Non-indulgence in habitual late-night snacking and refrainment from consuming more than one dish at each meal were also negatively related to the prevalence of obesity, T2D, and HTN. Inverse correlations were also observed between the prevalence rates of T2D and HTN and abstaining from adding sugar to beverages. CONCLUSION Foods high in fat, sugar, and sodium were strongly associated with the risks of obesity, T2D, and HTN. Additionally, poor eating habits were also associated with disease development.
참고문헌 (39)
- Colozza D, "Urbanisation, dietary change and traditional food practices in Indonesia : a longitudinal analysis", Soc Sci Med, 233, pp.103~112 (2019)
- Oddo VM, "Overweight in Indonesia : an observational study of trends and risk factors among adults and children", BMJ Open, 9, pp.e031198~ (2019)
- Afshin A, "Health effects of dietary risks in 195 countries, 1990-2017 : a systematic analysis for the Global Burden of Disease Study 2017", Lancet, 393, pp.1958~1972 (2019)
- "National Report of Riskesdas" (2018)[URL]
- Fatihah F, "Development and validation of a food frequency questionnaire for dietary intake assessment among multi-ethnic primary school-aged children", Singapore Med J, 56, pp.687~694 (2015)
- "Indonesia: Perencanaan Pembangunan" (2019)[URL]
- Craig CL, "International physical activity questionnaire : 12-country reliability and validity", Med Sci Sports Exerc, 35, pp.1381~1395 (2003)
- Sawada K, "Relationship between rice consumption and body weight gain in Japanese workers : white versus brown rice", multigrain rice, 2019, pp.44, 528~532
- Radhika G, "Refined grain consumption and the metabolic syndrome in urban Asian Indians(Chennai Urban Rural Epidemiology Study 57)", Metabolism, 58, pp.675~681 (2009)
- Juul F, "Ultra-processed food consumption and excess weight among US adults", Br J Nutr, 120, pp.90~100 (2018)
- He K, "Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women", Int J Obes, 28, pp.1569~1574 (2004)
- Slavin JL, "Health benefits of fruits and vegetables", Adv Nutr, 3, pp.506~516 (2012)
- Bhavadharini B, "White rice intake and incident diabetes : a study of 132, 373 participants in 21 countries", Diabetes Care, 43, pp.2643~2650 (2020)
- Shobana S, "Even minimal polishing of an Indian parboiled brown rice variety leads to increased glycemic responses", Asia Pac J Clin Nutr, 26, pp.829~836 (2017)
- Pletsch EA, "Brown rice compared to white rice slows gastric emptying in humans", Eur J Clin Nutr, 72, pp.367~373 (2018)
- Srour B, "Ultra-processed food consumption and risk of type 2 diabetes among participants of the NutriNet-Santé prospective cohort", JAMA Intern Med, 180, pp.283~291 (2020)
- Cox S, "Food additive emulsifiers : a review of their role in foods, legislation and classifications, presence in food supply, dietary exposure, and safety assessment", Nutr Rev, 79, pp.726~741 (2021)
- Bhowmik B, "Serum lipid profile and its association with diabetes and prediabetes in a rural Bangladeshi population", Int J Environ Res Public Health, 15, pp.1~12 (2018)
- Gulati S, "Sugar intake, obesity, and diabetes in India", Nutrients, 6, pp.5955~5974 (2014)
- Stanhope KL, "Fructose consumption : potential mechanisms for its effects to increase visceral adiposity and induce dyslipidemia and insulin resistance", Curr Opin Lipidol, 19, pp.16~24 (2008)
- Pokharel P, "Vegetable, but not potato, intake is associated with a lower risk of type 2 diabetes in the Danish diet, cancer and health cohort", Diabetes Care, 46, pp.286~296 (2023)
- Walia A, "Role of bioactive compounds in human health", Acta Sci Med Sci, 3, pp.25~33 (2019)
- Zhao D, "Dietary factors associated with hypertension", Nat Rev Cardiol, 8, pp.456~465 (2011)
- Erdem Y, "The relationship between hypertension and salt intake in Turkish population : SALTURK study", Blood Press, 19, pp.313~318 (2010)
- He FJ, "Plasma sodium : ignored and underestimated", Hypertension, 45, pp.98~102 (2005)
- Wu L, "Fruit and vegetables consumption and incident hypertension : dose-response meta-analysis of prospective cohort studies", J Hum Hypertens, 30, pp.573~580 (2016)
- Borgi L, "Fruit and vegetable consumption and the incidence of hypertension in three prospective cohort studies", Hypertension, 67, pp.288~293 (2016)
- Chong MF, "Fruit polyphenols and CVD risk : a review of human intervention studies", Br J Nutr (2010)
- Yoshida J, "Association of night eating habits with metabolic syndrome and its components : a longitudinal study", BMC Public Health, 18, pp.1366~ (2018)
- Gouda M, "Associations between eating habits and glycemic control and obesity in Japanese workers with type 2 diabetes mellitus", Diabetes Metab Syndr Obes, 11, pp.647~658 (2018)
- Funakoshi S, "Eating before bed and new-onset hypertension in a Japanese population : the Iki city epidemiological study of atherosclerosis and chronic kidney disease", Hypertens Res, 44, pp.1662~1667 (2021)
- Gallant AR, "The night-eating syndrome and obesity", Obes Rev, 13, pp.528~536 (2012)
- Cao H, "Adipocytokines in obesity and metabolic disease", J Endocrinol, 220, pp.T47~59 (2014)
- Lund J, "Postprandial hormone and metabolic responses amongst shift workers in Antarctica", J Endocrinol, 171, pp.557~564 (2001)
- Wansink B, "The 100-calorie semi-solution: sub-packaging most reduces intake among the heaviest", Obesity(Silver Spring), 19, pp.1098~1100 (2011)
- Berg C, "Eating patterns and portion size associated with obesity in a Swedish population", Appetite, 52, pp.21~26 (2009)
- Bonsembiante L, "Type 2 diabetes and dietary carbohydrate intake of adolescents and young adults : what is the impact of different choices", Nutrients, 13, pp.3344~ (2021)
- Alhazmi A, "Macronutrient intakes and development of type 2 diabetes : a systematic review and meta-analysis of cohort studies", J Am Coll Nutr, 31, pp.243~258 (2012)
- Lipoeto NI, "Nutrition transition in west Sumatra, Indonesia", Asia Pac J Clin Nutr, 13, pp.312~316 (2004)
