:: Volume 16, Issue 1 (Spring 2021) ::
Iranian J Nutr Sci Food Technol 2021, 16(1): 13-25 Back to browse issues page
Association of Body Fat Distribution Indices and Dietary Adequacy Ratio in (Body Shape Index and Waist-to-Height Ratio) in Free-Living Elderly in Tehran City, 2018–2019
P Shirani , N Omidvar , H Eini-Zinab , F PoorEbrahim, A Rezazadeh *
Department of Community Nutrition National Nutrition and Food Technology Research Institute Faculty of Nutrition Sciences and Food Technology Shahid Behehshti University of Medical Sciences Tehran , Iran
Abstract:   (256 Views)
Background and Objectives: The aim of the present study was to assess associations between nutrient adequacy ratio and mean adequacy ratio with body shape index and waist-to-height ratio in free-living elderly in Tehran city, Iran.
 Materials & Methods: In this cross-sectional study, 583 elderly people (304 women and 279 men) aged 60–80 years from Tehran were selected using systematic cluster sampling method. Demographic questionnaire, activity of daily living, instrumental activity of daily living and two 24-h dietary recalls were used to assess general characteristics, physical function and dietary intakes of the participants, respectively. Nutrient adequacy ratio of energy, protein and 11 micronutrients and their means were calculated. Anthropometric measurements, including height, weight and waist circumference were carried out using standard methods and body shape index and waist-to-height ratio were calculated.
Results: The median (interquartile) of body shape index was 0.082 (0.086–0.079) and the mean ±standard deviation of WHtR07 was 0.06 ±0.07. The mean waist-to-height ratio of females was higher than that of males and the median body shape index  of females was lower than that of males. After adjusting for the effects of all confounders, associations of mean adequacy ratio with waist-to-height ratio and body shape index were not significant. Nutrient adequacy ratios of energy and protein were directly linked to waist-to-height ratio and body shape index respectively and nutrient adequacy ratio of thiamine was inversely linked to body shape index.
Conclusion: : No associations were detected between the adequacy of dietary intake and the two indicators of body fat distribution status after controlling for the confounding factors (lifestyle, demographic and socioeconomic factors).
Keywords: Dietary adequacy, Waist circumference, Body shape index, Elderly, Tehran
Full-Text [PDF 883 kb]   (93 Downloads)    
English: Research | Subject: nutrition
Received: 2020/03/4 | Accepted: 2020/07/11 | Published: 2021/03/25
1. Ministry of Cooperatives, Labor and Social Welfare ,Ministry of Health and Education and Secretariat of the National Council for the Elderly. National Elderly Document. Tehran, Iran: Secretariat of the National Council for the Elderly; 2017:p. 60 [in Persian].
2. Beard JR, Officer AM, Cassels AK. The World Report on Ageing and Health. The Gerontologist. 2016;56 Suppl 2:S163-6. [DOI:10.1093/geront/gnw037]
3. Khoshbin S, Rahimi A, Nvayyan N. Iran's population prediction 2000-2050. Ministry of Health and Medical Education: Tehran; 2004.
4. Huguet N, Kaplan MS, Feeny DJSs, medicine. Socioeconomic status and health-related quality of life among elderly people: results from the Joint Canada/United States Survey of Health. 2008;66(4):803-10. [DOI:10.1016/j.socscimed.2007.11.011]
5. de Vries JH, de Groot LC, van Staveren WA. Dietary assessment in elderly people: experiences gained from studies in the Netherlands. European journal of clinical nutrition. 2009;63 Suppl 1:S69-74. [DOI:10.1038/ejcn.2008.68]
6. Stanhope M, Lancaster J, Jessup-Falcioni H, Viverais-Dresler G. Community health nursing in Canada: Elsevier Health Sciences; 2014.
7. Freitas TId, Previdelli ÁN, Ferreira MPdN, Marques KM, Goulart RMM, Aquino RdCd. Factors associated with diet quality of older adults. Rev Nutr. 2017;30(3):297-306. [DOI:10.1590/1678-98652017000300003]
8. Tavakoli S, Dorosty-motlagh AR, Hoshiar-Rad A, Eshraghian MR, Sotoudeh G, Azadbakht L, et al. Is dietary diversity a proxy measurement of nutrient adequacy in Iranian elderly women? Appetite. 2016;105:468-76. [DOI:10.1016/j.appet.2016.06.011]
9. Mahan LK, Raymond JL. Krause's Food & the Nutrition Care Process-E-Book: Elsevier Health Sciences; 2016.
10. Zamboni M, Mazzali G, Fantin F, Rossi A, Di Francesco VJN, Metabolism, Diseases C. Sarcopenic obesity: a new category of obesity in the elderly. 2008;18(5):388-95. [DOI:10.1016/j.numecd.2007.10.002]
11. Weimer JP. Many elderly at nutritional risk. Food Review: The Magazine of Food Economics. 1997;20(1).
12. Schneider HJ, Friedrich N, Klotsche J, Pieper L, Nauck M, John U, et al. The predictive value of different measures of obesity for incident cardiovascular events and mortality. J Clin Endocrinol Metab. 2010;95(4):1777-85. [DOI:10.1210/jc.2009-1584]
13. Gomez-Peralta F, Abreu C, Cruz-Bravo M, Alcarria E, Gutierrez-Buey G, Krakauer NY, et al. Relationship between "a body shape index (ABSI)" and body composition in obese patients with type 2 diabetes. Diabetol Metab Syndr. 2018;10:21. [DOI:10.1186/s13098-018-0323-8]
14. Ji M, Zhang S, An RJOR. Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta‐analysis. 2018;19(5):737-59. [DOI:10.1111/obr.12666]
15. Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7(7):e39504. [DOI:10.1371/journal.pone.0039504]
16. Taheri Tanjani1 P, Azadbakht M. Psychometric Properties of the Persian Version of the Activities of Daily Living Scale and Instrumental Activities of Daily Living Scale in elderly. Journal of Mazandaran University of Medical Sciences. 2016;25(132):103-12.
17. Bowman SA, Gortmaker SL, Ebbeling CB, Pereira MA, Ludwig DS. Effects of Fast-Food Consumption on Energy Intake and Diet Quality Among Children in a National Household Survey. Pediatrics. 2004;113(1):112. [DOI:10.1542/peds.113.1.112]
18. Krebs-Smith SM, Smiciklas-Wright H, Guthrie HA, Krebs-Smith J. The effects of variety in food choices on dietary quality. J Am Diet Assoc. 1987;87(7):897-903.
19. Rathnayake KM, Madushani P, Silva K. Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka. BMC research notes. 2012;5:469. [DOI:10.1186/1756-0500-5-469]
20. Kim J, Lee Y, Kye S, Chung YS, Kim JH, Chon D, et al. Diet quality and osteosarcopenic obesity in community-dwelling adults 50 years and older. Maturitas. 2017;104:73-9. [DOI:10.1016/j.maturitas.2017.08.007]
21. Hsieh S, Yoshinaga H, Muto TJIjoo. Waist-to-height ratio, a simple and practical index for assessing central fat distribution and metabolic risk in Japanese men and women. 2003;27(5):610-6. [DOI:10.1038/sj.ijo.0802259]
22. Isaura ER, Chen Y-C, Yang S-HJIjoer, health p. The association of food consumption scores, body shape index, and hypertension in a seven-year follow-up among indonesian adults: A longitudinal study. 2018;15(1):175. [DOI:10.3390/ijerph15010175]
23. Di Girolamo F, Situlin R, Mazzucco S, Šimunič B, Pisot R, Biolo GJCN. OR22: Abdominal Fat Accumulation is a Key Determinant of Muscle Mass and Strength as Well as Cardiovascular Fitness in Active Elderly Subjects. 2016;35:S9. [DOI:10.1016/S0261-5614(16)30261-8]
24. Dhana K, Koolhas C, Schoufour J, Rivadeneira F, Hofman A, Kavousi M, et al. Association of anthropometric measures with fat and fat-free mass in the elderly: The Rotterdam study. 2016;88:96-100. [DOI:10.1016/j.maturitas.2016.03.018]
25. Ahrari M, Kimiagar M. Assessment of the Nutritional Status of Privately institutionalized Elderly in Tehran. National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Behehshti University of Medical Sciences1992.
26. Vosough S, Kimiagar M. Food consumption survey in Tehran public health nursing homes. National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Behehshti University of Medical Sciences1992.
27. Amirzadeh J, Amirzadeh N, Rasoli J. Consumption patterns in urban and rural elderly population in urmia. J Urmia Nurs Midwifery Fac. 2012;10(1):0-6.
28. Di Stefano M, Veneto G, Malservisi S, Cecchetti L, Minguzzi L, Strocchi A, et al. Lactose malabsorption and intolerance and peak bone mass. Gastroenterology. 2002;122(7):1793-9. [DOI:10.1053/gast.2002.33600]
29. Azadbakht L, Akbari F, Esmaillzadeh A. Diet quality among Iranian adolescents needs improvement. Public Health Nutr. 2015;18(4):615-21. [DOI:10.1017/S1368980014000767]
30. Cho KO, Nam SN, Kim YS. Assessments of nutrient intake and metabolic profiles in Korean adolescents according to exercise regularity using data from the 2008 Korean National Health and Nutrition Examination Survey. Nutr Res Pract. 2011;5(1):66-72. [DOI:10.4162/nrp.2011.5.1.66]
31. Sanin KI, Munirul Islam M, Mahfuz M, Shamsir Ahmed AM, Mondal D, Haque R, et al. Micronutrient adequacy is poor, but not associated with stunting between 12-24 months of age: A cohort study findings from a slum area of Bangladesh. PLoS ONE. 2018;13(3). [DOI:10.1371/journal.pone.0195072]
32. de Paula Matos Souza J, Magela de Lima M, Martins Horta P. Diet Quality among the Brazilian Population and Associated Socioeconomic and Demographic Factors: Analysis from the National Dietary Survey 2008-2009. Journal of the Academy of Nutrition and Dietetics. 2019. [DOI:10.1016/j.jand.2019.04.014]
33. Zaninotto P, Lassale C. Socioeconomic trajectories of body mass index and waist circumference: results from the English Longitudinal Study of Ageing. BMJ Open. 2019;9(4):e025309. [DOI:10.1136/bmjopen-2018-025309]
34. Pounis G, Castelnuovo AD, Costanzo S, Persichillo M, Bonaccio M, Bonanni A, et al. Association of pasta consumption with body mass index and waist-to-hip ratio: results from Moli-sani and INHES studies. Nutr Diabetes. 2016;6(7):e218. [DOI:10.1038/nutd.2016.20]
35. Paratthakonkun C, Kaewprasert S, Arthan D, Soonthornworasiri N, Tungtrongchitr R, Prangthip P, et al. Associations among serum folate, waist-to-hip ratio, lipid profile, and eating habits with homocysteine in an elderly Thai population. Int J Vitam Nutr Res. 2019:1-9.
36. Son J, Yu Q, Seo JS. Sarcopenic obesity can be negatively associated with active physical activity and adequate intake of some nutrients in Korean elderly: Findings from the Korea National Health and Nutrition Examination Survey (2008-2011). Nutr Res Pract. 2019;13(1):47-57. [DOI:10.4162/nrp.2019.13.1.47]
37. Sharkey JR, Branch LG, Zohoori N, Giuliani C, Busby-Whitehead J, Haines PS. Inadequate nutrient intakes among homebound elderly and their correlation with individual characteristics and health-related factors. Am J Clin Nutr. 2002;76(6):1435-45. [DOI:10.1093/ajcn/76.6.1435]
38. Livingstone MBE, Black AEJTJon. Markers of the validity of reported energy intake. 2003;133(3):895S-920S. [DOI:10.1093/jn/133.3.895S]

XML   Persian Abstract   Print

Volume 16, Issue 1 (Spring 2021) Back to browse issues page