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Meat intake frequency and anemia in Japanese children and adolescents

Author

Listed:
  • Ichiro Kunitsugu
  • Masayuki Okuda
  • Shinichi Sugiyama
  • Norikazu Yoshitake
  • Yukio Tanizawa
  • Satoshi Sasaki
  • Tatsuya Hobara

Abstract

The consumption of meat products is considered to be a feasible solution to prevent anemia, which is a critical health problem. The present study assessed hematological parameters and the prevalence of anemia in Japanese children and adolescents, and examined the association with the frequency of meat intake. Data from the Shunan Children Health Cohort Study were analyzed. The participants included male and female residents, 3373 children (aged 10–11 years), and 3085 adolescents (aged 13–14 years). The frequency of meat intake was determined with a questionnaire, and blood samples were analyzed. Anemia was defined according to the criteria of the World Health Organization. The prevalence of anemia in children was 3.6% and 2.5% in girls and boys, respectively, and in adolescents, it was 4.5% in girls and 0.8% in boys. The frequency of meat intake did not show a positive association with the hematological indices or the prevalence of anemia. These results suggest that the promotion of meat consumption is not an effective strategy to decrease anemia, and that other approaches are necessary to prevent anemia in this population.

Suggested Citation

  • Ichiro Kunitsugu & Masayuki Okuda & Shinichi Sugiyama & Norikazu Yoshitake & Yukio Tanizawa & Satoshi Sasaki & Tatsuya Hobara, 2012. "Meat intake frequency and anemia in Japanese children and adolescents," Nursing & Health Sciences, John Wiley & Sons, vol. 14(2), pages 197-203, June.
    • Handle: RePEc:wly:nuhsci:v:14:y:2012:i:2:p:197-203
    DOI: 10.1111/j.1442-2018.2012.00678.x
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    References listed on IDEAS

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    1. Roger Newson, 2006. "Confidence intervals for rank statistics: Somers' D and extensions," Stata Journal, StataCorp LP, vol. 6(3), pages 309-334, September.
    2. Roger Newson, 2006. "Confidence intervals for rank statistics: Percentile slopes, differences, and ratios," Stata Journal, StataCorp LP, vol. 6(4), pages 497-520, December.
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