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Estimation of Usual Meat Intake Distribution Considering Meat Content in Processed Foods: Based on the KNHANES 2009
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Research Article
Estimation of Usual Meat Intake Distribution Considering Meat Content in Processed Foods: Based on the KNHANES 2009
Yun-Jung Shin, Ae-Jung Kim, Dong Woo Kim
Korean Journal of Community Nutrition 2020;25(2):150-158.
DOI: https://doi.org/10.5720/kjcn.2020.25.2.150
Published online: April 30, 2020
1Major of Nutrition Therapy, The Graduate School of Alternative Medicine, Kyonggi University, Seoul, Korea, Graduate Student
2Major of Nutrition Therapy, The Graduate School of Alternative Medicine, Kyonggi University, Seoul, Korea, Professor
3Major of Food and Nutrition, Department of Human Ecology, Korea National Open University, Seoul, Korea, Professor
Corresponding author:  Dong Woo Kim,
Email: kimdow@knou.ac.kr
Received: 24 March 2020   • Revised: 21 April 2020   • Accepted: 27 April 2020
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Objectives
This study was conducted to estimate usual meat intake distribution, which may have been over/underestimated when estimations were made using only the third food codes of the Korea National Health and Nutrition Examination Survey (KNHANES).
Methods
For this purpose, 24-hour recall data from the 2009 Korea National Health and Nutrition Examination Survey, which conducted a partial 2-day survey of food intake, were used. The Multiple Source Method (MSM) was used to estimate the distribution of the usual intake of red and processed meats.
Results
The results of this study show that the mean intake of red meat was 45.07 g while that of processed meat was 4.33 g. These results are slightly higher than the consumption calculated using only tertiary food code, and the difference was statistically significant. Furthermore, characteristics of the estimated usual intake distribution were a smaller standard deviation, increased lower percentiles, and decreased upper percentiles compared to the 2- day mean intake distribution for both red and processed meats. The proportion of individuals not consuming red meat decreased substantially from approximately 37% to 0.7%. The proportion of consumption that exceeded 90 g, which is the upper limit of red meat intake recommended by the National Health Service (NHS), was only approximately 10% in the distribution of usual intake.
Conclusions
As the consumption of processed foods is expected to continuously increase, caution is needed regarding the processes used to calculate food (group) intake to avoid over/underestimation. Moreover, use of KNHANES data to calculate the proportion of the population at risk of insufficiency or excess intake of certain nutrients or food (group), based on one day intake that does not address within-individual variation, may lead to biased estimates.


Korean J Community Nutr. 2020 Apr;25(2):150-158. Korean.
Published online Apr 30, 2020.
Copyright © 2020 The Korean Society of Community Nutrition
Original Article

Estimation of Usual Meat Intake Distribution Considering Meat Content in Processed Foods: Based on the KNHANES 2009

Yun-Jung Shin,1 Ae-Jung Kim,2 and Dong Woo Kim3
    • 1Major of Nutrition Therapy, The Graduate School of Alternative Medicine, Kyonggi University, Seoul, Korea, Graduate Student.
    • 2Major of Nutrition Therapy, The Graduate School of Alternative Medicine, Kyonggi University, Seoul, Korea, Professor.
    • 3Major of Food and Nutrition, Department of Human Ecology, Korea National Open University, Seoul, Korea, Professor.
Received March 24, 2020; Revised April 21, 2020; Accepted April 27, 2020.

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objectives

This study was conducted to estimate usual meat intake distribution, which may have been over/underestimated when estimations were made using only the third food codes of the Korea National Health and Nutrition Examination Survey (KNHANES).

Methods

For this purpose, 24-hour recall data from the 2009 Korea National Health and Nutrition Examination Survey, which conducted a partial 2-day survey of food intake, were used. The Multiple Source Method (MSM) was used to estimate the distribution of the usual intake of red and processed meats.

Results

The results of this study show that the mean intake of red meat was 45.07 g while that of processed meat was 4.33 g. These results are slightly higher than the consumption calculated using only tertiary food code, and the difference was statistically significant. Furthermore, characteristics of the estimated usual intake distribution were a smaller standard deviation, increased lower percentiles, and decreased upper percentiles compared to the 2-day mean intake distribution for both red and processed meats. The proportion of individuals not consuming red meat decreased substantially from approximately 37% to 0.7%. The proportion of consumption that exceeded 90 g, which is the upper limit of red meat intake recommended by the National Health Service (NHS), was only approximately 10% in the distribution of usual intake.

Conclusions

As the consumption of processed foods is expected to continuously increase, caution is needed regarding the processes used to calculate food (group) intake to avoid over/underestimation. Moreover, use of KNHANES data to calculate the proportion of the population at risk of insufficiency or excess intake of certain nutrients or food (group), based on one day intake that does not address within-individual variation, may lead to biased estimates.

Keywords
red meat; processed meat; usual intake; KNHNAES; food code

Figures

Fig. 1
Comparison between usual and 2-day mean intake distribution of red meat (n=9,391).

Tables

Table 1
Comparison of meat intake considering meat content of processed foods (n=9,391)

Table 2
Usual and 2-day mean intake distribution of red meat and processed meat (n=9,391)

Acknowledgments

This research was supported by Korea National Open University Research Fund.

References

    1. Willet W. In: Nutritional epidemiology. Oxford: Oxford University Press; 1998. pp. 11-514.
    1. Mondul AM, Moore SC, Weinstein SJ, Karoly ED, Sampson JN, Albanes D. Metabolomic analysis of prostate cancer risk in a prospective cohort: The alphatocopherol, beta-carotene cancer prevention (ATBC) study. Int J Cancer 2015;137(9):2124–2132.
    1. Lyngso J, Ramlau-Hansen CH, Bay B, Ingerslev HJ, Hulman A, Kesmodel, US. Association between coffee or caffeine consumption and fecundity and fertility: a systematic review and dose–response meta-analysis. Clin Epidemiol 2017;9:699–719.
    1. Statistics Korea. Statistical report of Korea national health and nutrition examination survey [Internet]. Statistics Korea; 2018 [updated 2016 Jan 21]. [cited 2019 Jun 11].
    1. Kwon SH. Use of secondary and tertiary food code in Korea National Health and Nutrition Examination Survey microdata. Public Health Weekly Report 2012;5(9):158–164.
    1. Freedman LS, Midthune D, Carroll RJ, Krebs-Smith S, Subar AF, Troiano RP. Adjustments to improve the estimation of usual dietary intake distributions in the population. J Nutr 2004;134(7):1836–1843.
    1. Souverein OW, Dekkers AL, Geelen A, Haubrock J, de Vries JH, Ocké MC. Comparing four methods to estimate usual intake distributions. Eur J Clin Nutr 2011;65(1):S92–S101.
    1. Institute of Medicine. Dietary reference intakes: Application in dietary assessment. Washington, DC: National Academy Press; 2000. pp. 93-99.
    1. IARC Working Group on the Evaluation of Carcinogenic Risk to Humans. Red meat and processed meat [Internet]. Lyon (FR): International Agency for Research on Cancer; 2018 [cited 2019 Jun 13].
    1. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea health statistics 2009: Korea national health and nutrition examination survey (KNHANES IV-3) [Internet]. Korea Centers for Disease Control and Prevention; 2012 [updated 2013 Dec 24]. [cited 2019 Jun 11].
    1. Harttig U, Haubrock J, Knuppel S, Boeing H. The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method. Eur J Clin Nutr 2011;65(1):S87–S91.
    1. Chan DS, Aune D, Norat T. Red meat intake and colorectal cancer risk: a summary of epidemiological studies. Curr Nutr Rep 2013;2(1):56–62.
    1. Kim DW, Shim JE, Paik HY, Song WO, Joung H. Nutritional intake of Korean population before and after adjusting for within-individual variations: 2001 Korean National Health and Nutrition Survey Data. Nutr Res Pract 2011;5(3):266–274.
    1. Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc 2006;106(10):1640–1650.
    1. Freedman LS, Guenther PM, Dodd KW, Krebs-Smith SM, Midthune D. The population distribution of ratios of usual intakes of dietary components that are consumed every day can be estimated from repeated 24-hour recalls. J Nutr 2010;140(1):111–116.
    1. Guenther PM, Kirkpatrick SI, Reedy J, Krebs-Smith SM, Buckman DW, Dodd KW. The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 Dietary Guidelines for Americans. J Nutr 2014;144(3):399–407.
    1. Yun S, Kim HJ, Oh K. Trends in energy intake among Korean adults, 1998-2015: results from the Korea National Health and Nutrition Examination Survey. Nutr Res Pract 2017;11(2):147–154.
    1. Yoon MO, Lee HS, Kim K, Shim JE, Hwang JY. Development of processed food database using Korea National Health and Nutrition Examination Survey data. J Nutr Health 2017;50(5):504–518.
    1. Bouvard V, Loomis D, Guyton KZ, Grosse Y, Ghissassi FE, Benbrahim-Tallaa L. Carcinogenicity of consumption of red and processed meat. Lancet Oncol 2015;16(16):1599–1600.
    1. Ministry of Food and Drug Safety. The 4th food and drug safety open forum [Internet]. MFDS; 2018 [updated 2018 Jun 27]. [cited 2019 Nov 12].
    1. Lee JK. In: Research on preparing a proper intake plan for red meat and processed meat. Ministry of Food and Drug Safety; 2016 Jun.
      Report No. 33163014300.
    1. Verly E Jr, Castro MA, Fisberg RM, Marchioni DM. Precision of usual food intake estimates according to the percentage of individuals with a second dietary measurement. J Acad Nutr Diet 2012;112(7):1015–1020.

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References

    Citations

    Citations to this article as recorded by  Crossref logo
    • Red meat and processed meat consumption and the risk of dyslipidemia in Korean adults: A prospective cohort study based on the Health Examinees (HEXA) study
      Seong-Ah Kim, Sangah Shin
      Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(6): 1714.     CrossRef


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