Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-13T03:42:10.620Z Has data issue: false hasContentIssue false

Nutritional status of Japanese-Brazilian subjects: comparison across gender and generation

Published online by Cambridge University Press:  09 March 2007

Renata D. Freire
Affiliation:
Department of Preventive Medicine, Federal University of São Paulo, Rua Botucatu 740, 04023-062 São Paulo, SP, Brazil
Marly A. Cardos*
Affiliation:
Department of Nutrition, School of Public Health, University of São Paulo, Av. Dr. Arnaldo 715, 01246-904 São Paulo, SP, Brazil
Alexandre R. Shinzato
Affiliation:
Department of Preventive Medicine, Federal University of São Paulo, Rua Botucatu 740, 04023-062 São Paulo, SP, Brazil
Sandra R. G. Ferreira
Affiliation:
Department of Preventive Medicine, Federal University of São Paulo, Rua Botucatu 740, 04023-062 São Paulo, SP, Brazil
*
*Corresponding Author: Dr Marly A. Cardoso, fax +55 11 3066 7705, email marlyac@usp.br
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The present paper describes a nutritional survey carried out among Japanese-Brazilian subjects living in Bauru, south-eastern Brazil. Data were from a cross-sectional population-based study of 1283 first-generation Japanese-Brazilian subjects (Japan-born; 127 men and 121 women) and second-generation Japanese-Brazilian subjects (Brazil-born; 456 men and 573 women) aged 30–90 years. Anthropometric measurements and % body fat were measured and BMI and waist:hip ratio calculated. Dietary assessment was performed using a validated food-frequency questionnaire. A considerable proportion of men (51 %) and women (47 %) had excess weight (BMI>24·9 kg/m2). A greater waist circumference in men and women (age-adjusted by covariance analysis) was observed among Brazil-born participants. In general, only 10 % of the participants reported current practice of sports or other vigorous physical activity. Age-adjusted mean energy intakes and % energy from macronutrients were found to be similar across generations. The age-adjusted mean daily % energy intake from fat were similar across generations: among Japan-born participants, they were 31·5 (95 % CI 30·6, 32·4) % for men and 32·6 (95 % CI 31·7, 33·5) % for women. The respective figures for Brazil-born subjects were 32·1 (95 % CI 31·6, 32·6) % and 33·2 (95 % CI 32·7, 33·5) %. These values are quite different from the usual intakes reported in Japan during the last decades (about 25 %). Taking into account the traditional Japanese diet, a high energy density diet and a sedentary lifestyle may be implicated in the high prevalence of central obesity and metabolic syndrome observed among Japanese-Brazilian subjects across gender and generations.

Type
Research Article
Copyright
Copyright © The Nutrition Society 2003

References

Atkin, L-M & Davies, PSW (2000) Diet composition and body composition in preschool children. American Journal of Clinical Nutrition 72 1521.Google Scholar
Block, G, Coyle, LM, Hartman, AM & Scoppa, SM (1994) Revision of dietary analysis software for the Health Habits and History Questionnaire. American Journal of Epidemiology 139 11901196.Google Scholar
Block, G & Subar, AF (1992) Estimates of nutrient intake from a food frequency questionnaire: the 1987 National Health Interview Survey. Journal of American Dietetic Association 92 969977.Google Scholar
Boyko, EJ, Fujimoto, WY, Leonetti, DL & Newell-Morris, L (2000) Visceral adiposity and risk of type 2 diabetes. Diabetes Care 23 465471.Google Scholar
Cardoso, MA, Hamada, GS, Souza, JMP, Tsugane, S & Tokudome, S (1997) Dietary patterns in Japanese migrants to southeastern Brazil and their descendants. Journal of Epidemiology 7 198204.Google Scholar
Cardoso, MA, Kida, AA, Tomita, LY & Stocco, PR (2001) Reproducibility and validity of a food frequency questionnaire among women of Japanese ancestry living in Brazil. Nutrition Research 21 725733.Google Scholar
Costa, MB, Ferreira, SRS, Franco, LJ, Gimeno, SGA, Iunes, M & Japanese-Brazilian Diabetes Study Group (2000) Dietary patterns in a high-risk population for glucose intolerance. Journal of Epidemiology 10 111117.Google Scholar
Feskens, EJ, Virtanen, SM, Rasanen, L, Tuomilehto, J, Stengard, J, Pekkanen, J, Nissinen, A & Kromhout, D (1995) Dietary factors determining diabetes and impaired glucose tolerance: a 20-year follow-up of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetes Care 18 11041112.Google Scholar
Ferreira, SRG, Lerario, DDG, Gimeno, SGA, Sanudo, A, Franco, LJ & JBDSG (2003) Obesity and central adiposity in Japanese immigrants: role of the Western dietary pattern. Journal of Epidemiology (In the Press)Google Scholar
Ferreira, SRG, Iunes, M, Franco, LJ, Iochida, LC, Hirai, A, Vivolo, MA & Japanese-Brazilians Diabetes Study Group (1996) Disturbances of glucose and lipid metabolism in first and second generation of Japanese-Brazilians. Diabetes Research and Clinical Practice 34, Suppl., S59S63.Google Scholar
Fornés, NS, Martins, IS, Hernan, M, Velásquez-Meléndez, G & Ascherio, A (2000) Food frequency consumption and lipoproteins serum levels in the population of an urban area, Brazil. Revista de Saúde Pública 34 347357.Google Scholar
Franco, LJ (1996) Diabetes in Japanese-Brazilians – influence of the acculturation process. Diabetes Research and Clinical Practice 34, Suppl., S51S57.Google Scholar
Fujimoto, WY, Bergstrom, RW, Boyko, EJ, Chen, K-W, Kahn, SE, Leonetti, DL, McNeely, MJ, Newell, LL, Shofer, JB, Tsunehara, CH & Wahl, PW (2000) Preventing diabetes – applying patho-physiological and epidemiological evidence. British Journal of Nutrition 84, Suppl. 2, S173S176.Google Scholar
Fujimoto, WY, Leonetti, DL, Kinyoun, JL, Newell-Morris, L, Shuman, WP, Storov, WC & Wahl, PW (1987) Prevalence of diabetes mellitus and impaired glucose tolerance among second generation Japanese American men. Diabetes 36 721729.Google Scholar
Fundação Instituto Brasileiro de Geografia e Estatística (1996) Tabela de Composição de Alimentos (Food Composition Tables), 4th ed., Rio de Janeiro: IBGE.Google Scholar
Gimeno, SGA, Ferreira, SRG, Cardoso, MA, Franco, LJ, Iunes, M & Japanese-Brazilians Diabetes Study Group (2000) Weight gain in adulthood and risk of developing glucose tolerance disturbance: a study of a Japanese-Brazilian population. Journal of Epidemiology 10 103110.Google Scholar
Gimeno, SGA, Ferreira, SRG, Franco, LJ, Hirai, AT, Matsumura, L & Moises, RS for The Japanese-Brazilians Diabetes Study Group (2003) Prevalence and 7-year incidence of type 2 diabetes mellitus in a Japanese-Brazilian population: an alarming public health problem. Diabetologia (In the Press)Google Scholar
Huang, B, Rodriguez, BL, Burchfiel, CM, Chyou Po-Huang, , Curb, JD & Yano, K (1996) Acculturation and prevalence of diabetes among Japanese-American men in Hawaii. American Journal of Epidemiology 144 674681.Google Scholar
Hu, FB, Rimm, EB, Stampfer, MJ, Ascherio, A, Spiegelman, D & Willett, W (2000) Prospective study of major dietary patterns and risk of coronary heart disease in men. American Journal of Clinical Nutrition 72 912921.Google Scholar
Iunes, M, Kikuchi, M, Wakisaka, K, Ferreira, SRG, Franco, LJ & Iochida, LC (1997) Evidence of acculturation in first and second-generation Japanese and Japanese-Brazilians: association with NIDDM? Diabetologia 40, A200.Google Scholar
Kagan, A, Harris, BR, Winkelstein, W Jr, Johnson, KG, Kato, H, Syme, SL, Rhoads, GG, Gay, ML, Nichaman, MZ, Hamilton, HB & Tillotson, J (1974) Epidemiologic studies of coronary heart disease and stroke in Japanese men living in Japan, Hawaii and California: demographic, physical, dietary and biochemical characteristics. Journal of Chronic Diseases 27 345364.Google Scholar
Kahn, SE, Prigeon, RL, Schwartz, RS, Fujimoto, WY, Knopp, RH, Brunzell, JD & Porte, D (2001) Obesity, body fat distribution, insulin sensitivity and islet ß-cell function as explanations for metabolic diversity. Journal of Nutrition 131, Suppl., 354S360S.Google Scholar
Kleinbaum, DG, Kupper, LL & Muller, KE (1988) Applied Regression Analysis and Other Multivariable Methods. Boston, MA: PWS-Kent Publishing Company.Google Scholar
Lerario, DDG, Gimeno, SGA, Franco, LJ, Iunes, M & Ferreira, SRG (2002) Prevalence of weight excess and implications of abdominal fat distribution for the metabolic syndrome in Japanese-Brazilians. Revista de Saúde Pública 36 411.Google Scholar
Meyer, KA, Kushi, LH, Jacobs, DR & Folsom, AR (2001) Dietary fat and incidence of type 2 diabetes in older Iowa women. Diabetes Care 24 15281535.Google Scholar
Monteiro, CA, Conde, WL & Popkin, BM (2001) Independent effects of income and education on the risk of obesity in the Brazilian adult population. Journal of Nutrition 131, Suppl., 881S886S.Google Scholar
Monteiro, CA, Mondini, L & Costa, RB (2000) Changes in composition and appropriate nutrition of family diet in the metropolitan areas of Brazil (1988–1996). Revista de Saúde Pública 34 251258.Google Scholar
Resources Research Council, Science and Technology Agency (1993) Mudanças na Composição e Adequação Nutricional da Dieta Familiar nas Areas Metropolitanas do Brasil (1988–1996) [Standard Tables of Food Composition in Japan] 4th ed., Tokyo: Women's University of Nutrition Press.Google Scholar
Sociedade Brasileira de Cultura Japonesa (1992) Uma Epopéia Moderna: 80 Anos da Imigração Japonesa no Brasil (A Modern Epic: 80 years of Japanese Immigration to Brazil). São Paulo: HUCITEC.Google Scholar
Thompson, FE & Byers, T (1994) Dietary assessment resource manual. Journal of Nutrition 124 2245S2317S.Google Scholar
World Health Organization (1995) Physical status: the use and interpretation of anthropometry. Geneva: WHO Technical Report Series, 8.Google Scholar
World Health Organization (2000) The Asia-Pacific perspective: redefining obesity and its treatment. http://www.diabetes.com.au/research/report_obesity.htmGoogle Scholar
Yoshiike, N, Matsumura, Y, Iwaya, M, Sugiyama, M & Yamaguchi, M (1996) National nutrition survey in Japan. Journal of Epidemiology 6, Suppl., S189S200.Google Scholar