본문 바로가기
KERD
논문KCI 등재

Food Security Moderates the Relationships of Muscle Mass with Metabolic Syndrome and Insulin Resistance

0

조회

0

다운로드

1

인용

0

참고문헌

키워드

주제분류정형외과학

초록

Background: This study aimed to determine whether food security moderates the rela- tionship of skeletal muscle mass with metabolic syndrome (MetS) and insulin resistance (IR). Methods: This study analyzed the data of 10,680 adults using the Korea National Health and Nutrition Examination Survey from 2008 to 2011. The food security reported by households, appendicular skeletal muscle mass (ASM) divided by body mass index (BMI) (ASM/BMI), weight (ASM/weight), or height squared (ASM/height2) as muscle mass indicators, MetS (defined as presence of at least 3 components of MetS), and IR (defined as sex-specific highest quintile of homeostatic model assessment for IR) were assessed. The association between the muscle mass indicators and food security as well as their interaction with MetS and IR was analyzed for all participants and each sex using complex sample logistic regression and general linear model analyses. Results: When the ASM/BMI increased by 0.1 kg/BMI, the odds for MetS and IR decreased by 36% and 29%, respectively, after adjusting for age, sex, education, economic level, smoking, alco- hol consumption, physical activity, chronic diseases, and intake of fats and protein. There was a significant interaction between ASM/BMI and food security in their relationship with MetS and its components. In the low food security group, the inverse relationship of ASM/BMI with MetS and IR was stronger than in the food security group. These find- ings were more pronounced in men than in women, and similar findings were observed in the association with ASM/weight. Conclusions: The associations of skeletal muscle mass with MetS and IR may be influenced by household food security in Korean adults.

Abstract

Background: This study aimed to determine whether food security moderates the rela- tionship of skeletal muscle mass with metabolic syndrome (MetS) and insulin resistance (IR). Methods: This study analyzed the data of 10,680 adults using the Korea National Health and Nutrition Examination Survey from 2008 to 2011. The food security reported by households, appendicular skeletal muscle mass (ASM) divided by body mass index (BMI) (ASM/BMI), weight (ASM/weight), or height squared (ASM/height2) as muscle mass indicators, MetS (defined as presence of at least 3 components of MetS), and IR (defined as sex-specific highest quintile of homeostatic model assessment for IR) were assessed. The association between the muscle mass indicators and food security as well as their interaction with MetS and IR was analyzed for all participants and each sex using complex sample logistic regression and general linear model analyses. Results: When the ASM/BMI increased by 0.1 kg/BMI, the odds for MetS and IR decreased by 36% and 29%, respectively, after adjusting for age, sex, education, economic level, smoking, alco- hol consumption, physical activity, chronic diseases, and intake of fats and protein. There was a significant interaction between ASM/BMI and food security in their relationship with MetS and its components. In the low food security group, the inverse relationship of ASM/BMI with MetS and IR was stronger than in the food security group. These find- ings were more pronounced in men than in women, and similar findings were observed in the association with ASM/weight. Conclusions: The associations of skeletal muscle mass with MetS and IR may be influenced by household food security in Korean adults.

참고문헌 (42)

  1. Grundy SM, "Metabolic syndrome : a multiplex cardiovascular risk factor", J Clin Endocrinol Metab, 92, pp.399~404 (2007)[DOI]
  2. Cleasby ME, "Insulin resistance and sarcopenia : mechanistic links between common co-morbidities", J Endocrinol, 229, pp.R67~R81 (2016)[DOI]
  3. Park SH, "Additional role of sarcopenia to waist circumference in predicting the odds of metabolic syndrome", Clin Nutr, 33, pp.668~672 (2014)[DOI]
  4. Kim G, "Increase in relative skeletal muscle mass over time and its inverse association with metabolic syndrome development : a 7-year retrospective cohort study", Cardiovasc Diabetol, 17, pp.23~ (2018)[DOI]
  5. Yang Du, "Associations between Sarcopenia and Metabolic Risk Factors: A Systematic Review and Meta-Analysis", Journal of Obesity & Metabolic Syndrome, 27(3), pp.175~185 (2018), 대한비만학회
  6. Rubio-Ruiz ME, "Mechanisms underlying metabolic syndrome-related sarcopenia and possible therapeutic measures", Int J Mol Sci, 20, pp.647~ (2019)[DOI]
  7. 김기랑, "국민건강영양조사 식품안정성 측정 도구의 타당도 조사", 대한지역사회영양학회지, 16(6), pp.771~781 (2011), 대한지역사회영양학회
  8. Robinson S, "Nutrition and sarcopenia : a review of the evidence and implications for preventive strategies", J Aging Res, 2012, pp.510801~ (2012)[DOI]
  9. Hanson KL, "Food insecurity and dietary quality in US adults and children : a systematic review", Am J Clin Nutr, 100, pp.684~692 (2014)[DOI]
  10. Vercammen KA, "Food security and 10-year cardiovascular disease risk among U.S. adults", Am J Prev Med, 56, pp.689~697 (2019)[DOI]
  11. Roh E, "Health consequences of sarcopenic obesity: A narrative review", Front Endocrinol (Lausanne), 11, pp.332~ (2020)[DOI]
  12. Chen LK, "Asian working group for sarcopenia : 2019 consensus update on sarcopenia diagnosis and treatment", J Am Med Dir Assoc, 21, pp.300~307 (2020)[DOI]
  13. Smith L, "Association between food insecurity and sarcopenia among adults aged ≥65 years in low-and middle-income countries", Nutrients, 13, pp.1879~ (2021)[DOI]
  14. Batsis J, "Association of food insecurity and sarcopenia : The national health and nutrition examination surveys", Innov Aging, 4, pp.773~ (2020)[DOI]
  15. Perez-Zepeda MU, "Food insecurity and its association with sarcopenia elements", Innov Aging, 1, pp.50~51 (2017)
  16. Parker ED, "Food security and metabolic syndrome in U.S. adults and adolescents: findings from the National Health and Nutrition Examination Survey, 1999-2006", Ann Epidemiol, 20, pp.364~370 (2010)[DOI]
  17. ShariffZM, "Food insecurity and the metabolic syndrome among women from low income communities in Malaysia", Asia Pac J Clin Nutr, 23, pp.138~147 (2014)[DOI]
  18. Lee JW, "Food security status is not associated with increased risk of metabolic syndrome in Korean adults", Metab Syndr Relat Disord, 19, pp.192~199 (2021)[DOI]
  19. Liu J, "Gender differences in the association between food insecurity and insulin resistance among U.S. adults: National Health and Nutrition Examination Survey, 2005-2010", Ann Epidemiol, 25, pp.643~648 (2015)[DOI]
  20. Zhang H, "Association between sarcopenia and metabolic syndrome in middle-aged and older non-obese adults : A systematic review and meta-analysis", Nutrients, 10, pp.364~ (2018)[DOI]
  21. Ministry of Health & Welfare, "Korea health statistics 2010: Korea national health and nutrition examination survey (KNHANES V-1)", Korea Centers for Disease Control and Prevention, ~ (2011)
  22. Kweon S, "Data resource profile : the Korea National Health and Nutrition Examination Survey(KNHANES)", Int J Epidemiol, 43, pp.69~77 (2014)[DOI]
  23. Ministry of Health & Welfare, "The fifth Korea national health and nutrition examination survey (KNHANES V), 2010-2012", Korea Centers for Disease Control and Prevention, ~ (2014)
  24. Studenski SA, "The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates", J Gerontol A Biol Sci Med Sci, 69, pp.547~558 (2014)[DOI]
  25. Baumgartner RN, "Epidemiology of sarcopenia among the elderly in New Mexico", Am J Epidemiol, 147, pp.755~763 (1998)[DOI]
  26. Janssen I, "Low relative skeletal muscle mass(sarcopenia)in older persons is associated with functional impairment and physical disability", J Am Geriatr Soc, 50, pp.889~896 (2002)[DOI]
  27. Lee SY, "Appropriate waist circumference cutoffpoints for central obesity in Korean adults", Diabetes Res Clin Pract, 75, pp.72~80 (2007)[DOI]
  28. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), "Third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report", Circulation, 106, pp.3143~3421 (2002)
  29. Ministry of Health and Welfare, "Korea Health Statistics 2012: Korea national health and nutrition examination survey (KNHANES V-3)", Korea Centers for Disease Control and Prevention, ~ (2013)
  30. Matthews DR, "Homeostasis model assessment : insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man", Diabetologia, 28, pp.412~419 (1985)[DOI]
  31. Lee K. Sex, "Sex and region-specific associations of bone mineral content, muscle mass, and fat mass with insulin resistance", Metab Syndr Relat Disord, 18, pp.471~478 (2020)[DOI]
  32. 심지선, "식품안정성과 식사섭취의 관련성 - 국민건강영양조사 제3기 (2005년) -", Journal of Nutrition and Health, 41(2), pp.174~183 (2008), 한국영양학회
  33. Anderson SA, "Core indicators of nutritional state for difficult-to-sample populations", J Nutr, 120(Suppl 11), pp.1555~1600 (1990)[DOI]
  34. Ministry of Health & Welfare, "Korea health statistics 2014: Korea national health and nutrition examination survey (KNHANES VI)", Korea Centers for Disease Control & Prevention, ~ (2015)
  35. Hayes AF, "Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation", Behav Res Ther, 98, pp.39~57 (2017)[DOI]
  36. Sieber CC, "Malnutrition and sarcopenia", Aging Clin Exp Res, 31, pp.793~798 (2019)[DOI]
  37. Ganapathy A, "Nutrition and sarcopenia-What do we know?", Nutrients, 12, pp.1755~ (2020)[DOI]
  38. Ludwig DS, "The carbohydrate-insulin model of obesity: Beyond “Calories In, Calories Out”", JAMA Intern Med, 178, pp.1098~1103 (2018)[DOI]
  39. Stout MB, "Physiological aging: Links among adipose tissue dysfunction, diabetes, and frailty", Physiology(Bethesda), 32, pp.9~19 (2017)[DOI]
  40. Peppa M, "Association of lean body mass with cardiometabolic risk factors in healthy postmenopausal women", Obesity(Silver Spring), 22, pp.828~835 (2014)[DOI]
  41. Song YM, "Comparison of the associations between appendicular lean mass adjustment methods and cardiometabolic factors", Nutr Metab Cardiovasc Dis, 30, pp.2271~2278 (2020)[DOI]
  42. Peppa M, "Skeletal muscle insulin resistance in endocrine disease", J Biomed Biotechnol, 2010, pp.527850~ (2010)[DOI]

관련 논문AI추천

우리나라 성인의 근육량과 대사증후군 구성요소와의 관련성김화지, 정성화, 조성제한국보건정보통계학회 · 보건정보통계학회지2019 · 제44권 제3호Relationship between Low Muscle Mass and Metabolic Syndrome in Elderly People with Normal Body Mass Index김정승, 문지현, 추세령대한골대사학회 · 대한골대사학회지2015 · 제22권 제3호Association between Relative Handgrip Strength and Insulin Resistance in Korean Elderly Men without Diabetes: Findings of the 2015 Korea National Health Nutrition Examination SurveyDa-Hye Son, Jae-Min Park, Kwang-Chae Joo대한가정의학회 · Korean Journal of Family Medicine2022 · 제43권 제3호Total energy intake according to the level of skeletal muscle mass in Korean adults aged 30 years and older: an analysis of the Korean National Health and Nutrition Examination Surveys (KNHANES) 2008-2011Bo Young Jang, Young Bu한국영양학회 · Nutrition Research and Practice2019 · 제13권 제2호Total energy intake according to the level of skeletal muscle mass in Korean adults aged 30 years and older: an analysis of the Korean National Health and Nutrition Examination Surveys (KNHANES) 2008-2011부소영, 장보영한국영양학회 · Nutrition Research and Practice2018 · 제12권 제3호Association of appendicular skeletal muscle mass with carotid intima-media thickness according to body mass index in Korean adults서일, 김현창, 심지선, 허지은, Bo Mi Song, Ho Jae Lee, Hye Yoon Bae한국역학회 · Epidemiology and Health2018 · 제40권

이 간행물의 다른 논문 (6건)