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Association between carbohydrate intake and body composition: The Korean National Health and Nutrition Examination Survey
Several studies have investigated the effects of dietary carbohydrate intake on body composition. However, the results are controversial and few studies have been conducted on an Asian population. The aim of this study was to investigate whether dietary carbohydrate intake is associated with body co...
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Published in: | Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2019-05, Vol.61, p.187-193 |
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description | Several studies have investigated the effects of dietary carbohydrate intake on body composition. However, the results are controversial and few studies have been conducted on an Asian population. The aim of this study was to investigate whether dietary carbohydrate intake is associated with body composition in Korean adults.
The present study used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional survey of Korean civilians, conducted from 2008 to 2011. The study analyzed 9594 participants. Carbohydrate intake was defined as the proportion of energy consumed from carbohydrate. Waist circumference, body mass index, and lean and fat mass using a whole-body dual-energy x-ray absorptiometry scanner were measured as body composition parameters.
After adjusting for age, household income, smoking, alcohol consumption, physical activity, history of diabetes, hypertension, dyslipidemia, and intake of energy and fiber per day, the proportion of carbohydrate intake was positively correlated with total limb lean mass in men (β = 0.141, P = 0.046), and in women, the proportion of carbohydrate intake was positively associated with appendicular skeletal muscle mass index (β = 0804, P = 0.003) but negatively associated with trunk fat percentage (β = −0.075, P = 0.026). Total limb lean mass and appendicular skeletal muscle mass index in women showed an increasing trend as the proportion of carbohydrate intake increased.
No positive association was found between the proportion of carbohydrate intake and any measure of obesity or body fat mass in either men or women. Further studies are needed to evaluate the effects of quantity and quality of carbohydrate intake on body composition. |
doi_str_mv | 10.1016/j.nut.2018.11.011 |
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The present study used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional survey of Korean civilians, conducted from 2008 to 2011. The study analyzed 9594 participants. Carbohydrate intake was defined as the proportion of energy consumed from carbohydrate. Waist circumference, body mass index, and lean and fat mass using a whole-body dual-energy x-ray absorptiometry scanner were measured as body composition parameters.
After adjusting for age, household income, smoking, alcohol consumption, physical activity, history of diabetes, hypertension, dyslipidemia, and intake of energy and fiber per day, the proportion of carbohydrate intake was positively correlated with total limb lean mass in men (β = 0.141, P = 0.046), and in women, the proportion of carbohydrate intake was positively associated with appendicular skeletal muscle mass index (β = 0804, P = 0.003) but negatively associated with trunk fat percentage (β = −0.075, P = 0.026). Total limb lean mass and appendicular skeletal muscle mass index in women showed an increasing trend as the proportion of carbohydrate intake increased.
No positive association was found between the proportion of carbohydrate intake and any measure of obesity or body fat mass in either men or women. Further studies are needed to evaluate the effects of quantity and quality of carbohydrate intake on body composition.</description><identifier>ISSN: 0899-9007</identifier><identifier>EISSN: 1873-1244</identifier><identifier>DOI: 10.1016/j.nut.2018.11.011</identifier><identifier>PMID: 30822750</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Absorptiometry, Photon - statistics & numerical data ; Adipose tissue ; Adipose Tissue - diagnostic imaging ; Adult ; Adults ; Alcoholic beverages ; Body Composition ; Body fat ; Body Mass Index ; Body size ; Carbohydrates ; Cross-Sectional Studies ; Diabetes ; Diabetes mellitus ; Diet ; Dietary Carbohydrates - analysis ; Dietary intake ; Disease control ; Dual energy X-ray absorptiometry ; Dyslipidemia ; Energy ; Female ; Humans ; Hypertension ; Insulin ; Lean body mass ; Male ; Men ; Metabolism ; Middle Aged ; Muscles ; Nutrition ; Nutrition research ; Nutrition Surveys ; Nutritional Status ; Obesity ; Obesity - etiology ; Physical activity ; Population ; Public health ; Republic of Korea ; Review boards ; Sarcopenia ; Skeletal muscle ; Smoking ; Waist Circumference ; Weight control ; Women</subject><ispartof>Nutrition (Burbank, Los Angeles County, Calif.), 2019-05, Vol.61, p.187-193</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright © 2018 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited May 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c381t-389e20e220e7792f742ab6bfcab82318406e7e0cfc075f0a230fc8fe9005972d3</citedby><cites>FETCH-LOGICAL-c381t-389e20e220e7792f742ab6bfcab82318406e7e0cfc075f0a230fc8fe9005972d3</cites><orcidid>0000-0002-4769-7234 ; 0000-0001-9087-5019</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30822750$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Ha-Na</creatorcontrib><creatorcontrib>Song, Sang-Wook</creatorcontrib><title>Association between carbohydrate intake and body composition: The Korean National Health and Nutrition Examination Survey</title><title>Nutrition (Burbank, Los Angeles County, Calif.)</title><addtitle>Nutrition</addtitle><description>Several studies have investigated the effects of dietary carbohydrate intake on body composition. However, the results are controversial and few studies have been conducted on an Asian population. The aim of this study was to investigate whether dietary carbohydrate intake is associated with body composition in Korean adults.
The present study used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional survey of Korean civilians, conducted from 2008 to 2011. The study analyzed 9594 participants. Carbohydrate intake was defined as the proportion of energy consumed from carbohydrate. Waist circumference, body mass index, and lean and fat mass using a whole-body dual-energy x-ray absorptiometry scanner were measured as body composition parameters.
After adjusting for age, household income, smoking, alcohol consumption, physical activity, history of diabetes, hypertension, dyslipidemia, and intake of energy and fiber per day, the proportion of carbohydrate intake was positively correlated with total limb lean mass in men (β = 0.141, P = 0.046), and in women, the proportion of carbohydrate intake was positively associated with appendicular skeletal muscle mass index (β = 0804, P = 0.003) but negatively associated with trunk fat percentage (β = −0.075, P = 0.026). Total limb lean mass and appendicular skeletal muscle mass index in women showed an increasing trend as the proportion of carbohydrate intake increased.
No positive association was found between the proportion of carbohydrate intake and any measure of obesity or body fat mass in either men or women. Further studies are needed to evaluate the effects of quantity and quality of carbohydrate intake on body composition.</description><subject>Absorptiometry, Photon - statistics & numerical data</subject><subject>Adipose tissue</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Adult</subject><subject>Adults</subject><subject>Alcoholic beverages</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Carbohydrates</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diet</subject><subject>Dietary Carbohydrates - analysis</subject><subject>Dietary intake</subject><subject>Disease control</subject><subject>Dual energy X-ray absorptiometry</subject><subject>Dyslipidemia</subject><subject>Energy</subject><subject>Female</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Insulin</subject><subject>Lean body mass</subject><subject>Male</subject><subject>Men</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Muscles</subject><subject>Nutrition</subject><subject>Nutrition research</subject><subject>Nutrition Surveys</subject><subject>Nutritional Status</subject><subject>Obesity</subject><subject>Obesity - etiology</subject><subject>Physical activity</subject><subject>Population</subject><subject>Public health</subject><subject>Republic of Korea</subject><subject>Review boards</subject><subject>Sarcopenia</subject><subject>Skeletal muscle</subject><subject>Smoking</subject><subject>Waist Circumference</subject><subject>Weight control</subject><subject>Women</subject><issn>0899-9007</issn><issn>1873-1244</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu1DAQhi0EosvCA3BBlrhwSRjbm9iBU1WVtqIqB8rZcpyJ1ksSL7ZTyNvj3S0cOHCw5vL9vzXzEfKaQcmA1e935TSnkgNTJWMlMPaErJiSomB8s3lKVqCapmgA5Bl5EeMOAFhTN8_JmQDFuaxgRZbzGL11Jjk_0RbTT8SJWhNav126YBJSNyXzHamZOtr6bqHWj3sf3SHwgd5vkX72Ac1E744dZqDXaIa0PQbu5hSOJL38ZUY3nb75OocHXF6SZ70ZIr56nGvy7dPl_cV1cfvl6ubi_LawQrFUCNUgB-T5SdnwXm64aeu2t6ZVXDC1gRolgu0tyKoHwwX0VvWY164ayTuxJu9Ovfvgf8wYkx5dtDgMZkI_R83zxSpeV7ltTd7-g-78HPJOB6phQqgKRKbYibLBxxiw1_vgRhMWzUAfvOidzl70wYtmTGcvOfPmsXluR-z-Jv6IyMDHE4D5FA8Og47W4WSxcwFt0p13_6n_DeMGns8</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Kim, Ha-Na</creator><creator>Song, Sang-Wook</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7RV</scope><scope>7TS</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4769-7234</orcidid><orcidid>https://orcid.org/0000-0001-9087-5019</orcidid></search><sort><creationdate>201905</creationdate><title>Association between carbohydrate intake and body composition: The Korean National Health and Nutrition Examination Survey</title><author>Kim, Ha-Na ; Song, Sang-Wook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-389e20e220e7792f742ab6bfcab82318406e7e0cfc075f0a230fc8fe9005972d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Absorptiometry, Photon - statistics & numerical data</topic><topic>Adipose tissue</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Adult</topic><topic>Adults</topic><topic>Alcoholic beverages</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Carbohydrates</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diet</topic><topic>Dietary Carbohydrates - analysis</topic><topic>Dietary intake</topic><topic>Disease control</topic><topic>Dual energy X-ray absorptiometry</topic><topic>Dyslipidemia</topic><topic>Energy</topic><topic>Female</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Insulin</topic><topic>Lean body mass</topic><topic>Male</topic><topic>Men</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Muscles</topic><topic>Nutrition</topic><topic>Nutrition research</topic><topic>Nutrition Surveys</topic><topic>Nutritional Status</topic><topic>Obesity</topic><topic>Obesity - etiology</topic><topic>Physical activity</topic><topic>Population</topic><topic>Public health</topic><topic>Republic of Korea</topic><topic>Review boards</topic><topic>Sarcopenia</topic><topic>Skeletal muscle</topic><topic>Smoking</topic><topic>Waist Circumference</topic><topic>Weight control</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Ha-Na</creatorcontrib><creatorcontrib>Song, Sang-Wook</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>ProQuest_Research Library</collection><collection>ProQuest Biological Science Journals</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Ha-Na</au><au>Song, Sang-Wook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between carbohydrate intake and body composition: The Korean National Health and Nutrition Examination Survey</atitle><jtitle>Nutrition (Burbank, Los Angeles County, Calif.)</jtitle><addtitle>Nutrition</addtitle><date>2019-05</date><risdate>2019</risdate><volume>61</volume><spage>187</spage><epage>193</epage><pages>187-193</pages><issn>0899-9007</issn><eissn>1873-1244</eissn><abstract>Several studies have investigated the effects of dietary carbohydrate intake on body composition. However, the results are controversial and few studies have been conducted on an Asian population. The aim of this study was to investigate whether dietary carbohydrate intake is associated with body composition in Korean adults.
The present study used data from the Korean National Health and Nutrition Examination Survey, a cross-sectional survey of Korean civilians, conducted from 2008 to 2011. The study analyzed 9594 participants. Carbohydrate intake was defined as the proportion of energy consumed from carbohydrate. Waist circumference, body mass index, and lean and fat mass using a whole-body dual-energy x-ray absorptiometry scanner were measured as body composition parameters.
After adjusting for age, household income, smoking, alcohol consumption, physical activity, history of diabetes, hypertension, dyslipidemia, and intake of energy and fiber per day, the proportion of carbohydrate intake was positively correlated with total limb lean mass in men (β = 0.141, P = 0.046), and in women, the proportion of carbohydrate intake was positively associated with appendicular skeletal muscle mass index (β = 0804, P = 0.003) but negatively associated with trunk fat percentage (β = −0.075, P = 0.026). Total limb lean mass and appendicular skeletal muscle mass index in women showed an increasing trend as the proportion of carbohydrate intake increased.
No positive association was found between the proportion of carbohydrate intake and any measure of obesity or body fat mass in either men or women. Further studies are needed to evaluate the effects of quantity and quality of carbohydrate intake on body composition.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30822750</pmid><doi>10.1016/j.nut.2018.11.011</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-4769-7234</orcidid><orcidid>https://orcid.org/0000-0001-9087-5019</orcidid></addata></record> |
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subjects | Absorptiometry, Photon - statistics & numerical data Adipose tissue Adipose Tissue - diagnostic imaging Adult Adults Alcoholic beverages Body Composition Body fat Body Mass Index Body size Carbohydrates Cross-Sectional Studies Diabetes Diabetes mellitus Diet Dietary Carbohydrates - analysis Dietary intake Disease control Dual energy X-ray absorptiometry Dyslipidemia Energy Female Humans Hypertension Insulin Lean body mass Male Men Metabolism Middle Aged Muscles Nutrition Nutrition research Nutrition Surveys Nutritional Status Obesity Obesity - etiology Physical activity Population Public health Republic of Korea Review boards Sarcopenia Skeletal muscle Smoking Waist Circumference Weight control Women |
title | Association between carbohydrate intake and body composition: The Korean National Health and Nutrition Examination Survey |
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