slot gacor slot gacor hari ini slot gacor 2025 demo slot pg slot gacor slot gacor
DIETARY PATTERNS WERE ASSOCIATED WITH OBESITY PARAMETERS AMONG HEALTHY WOMEN | Syauqy | Journal of Nutrition College skip to main content

DIETARY PATTERNS WERE ASSOCIATED WITH OBESITY PARAMETERS AMONG HEALTHY WOMEN

Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia

Received: 9 Sep 2020; Published: 19 Nov 2020.

Citation Format:
Abstract

Background: Obesity is a growing major health problem in some developing countries including Indonesia. Study examined the association between dietary patterns and obesity parameters using both body mass index (BMI) and waist circumference (WC) among healthy women in Indonesia was still rare. 

Objectives: The objective of this study was to evaluate the correlation between dietary patterns and obesity parameters using BMI and WC among healthy women.

Methods: This study used a cross-sectional design with consecutive sampling. Healthy women aged 20 and above were selected in this study. Dietary data were collected using a food frequency questionnaire (FFQ). For categorical data, chi-squared test was done to compare the differences in the characteristics of the subjects among tertiles of dietary patterns. For continuous variables, a general linear model test was used for comparison. To evaluate the association between dietary patterns and obesity parameters (BMI and WC), we used multiple linear regression analysis adjusting for multiple confounding variables (age, current smoking, current drinking, and physical activity).

Results: Dietary pattern 1 consisted of 12 food items: snack cooked with oil, fish and seafood, processed food, organ meats, meat, poultry, rice- or flour-based products, staples cooked with oil, sugary drinks, refined dessert, and tea and coffee. Dietary pattern 2 consisted of 5 food items: eggs, light-colored vegetables, dark-colored vegetables, fruits, and soybeans. Dietary pattern 3 consisted of 7 food items: milk products, legumes, processed fruits, wholegrain, snacks cooked without oil, root crops, and jam/honey. Dietary pattern 1 was positively associated with obesity parameters including BMI and WC (P < 0.05); whereas, dietary pattern 2 and dietary pattern 3 were inversely correlated (P < 0.05).

Conclusions: Our study find that dietary patterns were associated with BMI and WC among healthy women.

Fulltext View|Download
Keywords: dietary patterns; obesity; body mass index; waist circumference; adults

Article Metrics:

  1. Engin A. The definition and prevalence of obesity and metabolic syndrome. Adv Exp Med Biol 2017;960:1-17
  2. Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev 2012;70:3-21
  3. Rachmi CN, Li M, Alison Baur L. Overweight and obesity in Indonesia: prevalence and risk factors-a literature review. Public Health 2017;147:20-9
  4. Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med 2011;364:719-29
  5. Kim D, Hou W, Wang F, Arcan C. Factors affecting obesity and waist circumference among US adults. Prev Chronic Dis 2019;16:E02-E
  6. Peng W, Liu Y, Liu Y, Zhao H, Chen H. Major dietary patterns and their relationship to obesity among urbanized adult Tibetan pastoralists. Asia Pac J Clin Nutr 2019;28:507-19
  7. Syauqy A, Hsu C-Y, Rau H-H, Chao J. Association of dietary patterns with components of metabolic syndrome and inflammation among middle-aged and older adults with metabolic syndrome in Taiwan. Nutrients 2018;10:143
  8. Syauqy A, Hsu CY, Rau HH, Chao JC. Association of dietary patterns, anthropometric measurements, and metabolic parameters with C-reactive protein and neutrophil-to-lymphocyte ratio in middle-aged and older adults with metabolic syndrome in Taiwan: a cross-sectional study. Nutr J 2018;17:106
  9. Muga MA, Owili PO, Hsu CY, Rau HH, Chao JC. Association between dietary patterns and cardiovascular risk factors among middle-aged and elderly adults in Taiwan: A population-based study from 2003 to 2012. PLoS One 2016;11(7): e0157745
  10. Perng W, Fernandez C, Peterson KE, Zhang Z, Cantoral A, Sanchez BN, et al. Dietary patterns exhibit sex-specific associations with adiposity and metabolic risk in a cross-sectional study in urban Mexican adolescents. J Nutr 2017;147:1977-85
  11. Kemenkes RI. Data komposisi pangan Indonesia 2017. [Internet]. Jakarta: Kemenkes RI; 2017 [cited 4 Juni 2018]. Available from: https://www.panganku.org/id-ID/semua_nutrisi
  12. Yulia U, Khusun H, Fahmida U. Dietary patterns of obese and normal-weight women of reproductive age in urban slum areas in Central Jakarta. Brit J Nutr 2016;116:S49-S56
  13. Choo V. WHO reassesses appropriate body-mass index for Asian populations. Lancet 2002;360:235
  14. Verma M, Rajput M, Sahoo SS, Kaur N, Rohilla R. Correlation between the percentage of body fat and surrogate indices of obesity among adult population in rural block of Haryana. J Family Med Prim Care 2016;5:154-9
  15. Naja F, Hwalla N, Itani L, Karam S, Sibai AM, Nasreddine L. A Western dietary pattern is associated with overweight and obesity in a national sample of Lebanese adolescents (13-19 years): a cross-sectional study. Br J Nutr 2015;114:1909-19
  16. Esmaillzadeh A, Azadbakht L. Major dietary patterns in relation to general obesity and central adiposity among Iranian women. J Nutr 2008;138:358-63
  17. Castanho GK, Marsola FC, McLellan KC, Nicola M, Moreto F, Burini RC. Consumption of fruit and vegetables associated with the metabolic syndrome and its components in an adult population sample. Cien Saude Colet 2013;18:385-92
  18. Hartley L, Igbinedion E, Holmes J, Flowers N, Thorogood M, Clarke A, et al. Increased consumption of fruit and vegetables for the primary prevention of cardiovascular diseases. Cochrane Database Syst Rev 2013(6):CD009874
  19. D'Innocenzo S, Biagi C, Lanari M. Obesity and the Mediterranean Diet: A review of evidence of the role and sustainability of the mediterranean diet. Nutrients 2019;11:1306
  20. Karl JP, Saltzman E. The role of whole grains in body weight regulation. Adv Nutr 2012;3:697-707
  21. Vetrani C, Costabile G, Luongo D, Naviglio D, Rivellese AA, Riccardi G, et al. Effects of whole-grain cereal foods on plasma short chain fatty acid concentrations in individuals with the metabolic syndrome. Nutrition 2016;32:217-21
  22. Roager HM, Vogt JK, Kristensen M, Hansen LBS, Ibrügger S, Mærkedahl RB, et al. Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial. Gut 2019;68:83-93
  23. Lattimer JM, Haub MD. Effects of dietary fiber and its components on metabolic health. Nutrients 2010;2:1266-89
  24. Noh HM, Oh S, Song HJ, Lee EY, Jeong JY, Ryu OH, et al. Relationships between cognitive function and body composition among community-dwelling older adults: a cross-sectional study. BMC Geriatr 2017;17:259
  25. Figley CR, Asem JS, Levenbaum EL, Courtney SM. Effects of body mass index and body fat percent on default mode, executive control, and salience network structure and function. Front Neurosci 2016;10:234

Last update:

No citation recorded.

Last update:

No citation recorded.