Optimisation of birth weight and growth in the first 2 years favours an adult body composition which supports more physiological resting metabolic rates and cognitive function: Tanjungsari Cohort Study (TCS)
Background and Objectives: Resting metabolic rate and cognitive function may be associated with several factors, such as birth weight, growth, and fat-free mass in adulthood. The Tanjungsari Cohort Study (TCS) of 1988, to do with a maternal-child Risk Approach Strategy (RAS), provided the opportunit...
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| Veröffentlicht in: | Asia Pacific Journal of Clinical Nutrition 2019-02, Vol.28 (Supplement 1), p.s51-s62 |
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| container_title | Asia Pacific Journal of Clinical Nutrition |
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| creator | Nugraha, Gaga Irawan Ong, Paulus Anam Rachmi, Cut Novianti Karyadi, Sri Hartini Ks Alisjahbana, Anna |
| description | Background and Objectives: Resting metabolic rate and cognitive function may be associated with several factors, such as birth weight, growth, and fat-free mass in adulthood. The Tanjungsari Cohort Study (TCS) of 1988, to do with a maternal-child Risk Approach Strategy (RAS), provided the opportunity to determine the associations between birth weight, growth at 2 years, and body composition with adult resting metabolic rate and cognitive function.
Methods and Study Design: In 2009 some 197 and, in 2017,144 of these representative participants from the TCS were assessed for energy intake, anthropometry, body composition, indirect calorimetry, and cognitive function in relation to low (ALBW, n=66) or normal (ANBW, n=78) birth weight. Associations were adjusted for basic demographic data.
Results: Resting metabolic rate was positively associated with birth weight, body weight at 2 years of age, body mass index and fat free mass in adult life. Time to finish the Trail Making Test-A (TMT-A), a test of attention span, was significantly longer in the ALBW than the ANBW group (41.4+-12.8 vs 37.8+-15.6, p=0.005). In the ALBW group, weight catch-up improved TMT-A and logical memory test scores (29.5 vs 34.9.41, 'p'=0.004; and 39.3 vs 29.4, 'p'=0.04, respectively).
Conclusions: Low birth weight was associated with poorer attention span in adult life; body weight gain at 2 years of age with better attention and memory function in adult life; a greater body mass index in adult life with better memory in adult life. |
| doi_str_mv | 10.6133/apjcn.201901_28(S1).0005 |
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Methods and Study Design: In 2009 some 197 and, in 2017,144 of these representative participants from the TCS were assessed for energy intake, anthropometry, body composition, indirect calorimetry, and cognitive function in relation to low (ALBW, n=66) or normal (ANBW, n=78) birth weight. Associations were adjusted for basic demographic data.
Results: Resting metabolic rate was positively associated with birth weight, body weight at 2 years of age, body mass index and fat free mass in adult life. Time to finish the Trail Making Test-A (TMT-A), a test of attention span, was significantly longer in the ALBW than the ANBW group (41.4+-12.8 vs 37.8+-15.6, p=0.005). In the ALBW group, weight catch-up improved TMT-A and logical memory test scores (29.5 vs 34.9.41, 'p'=0.004; and 39.3 vs 29.4, 'p'=0.04, respectively).
Conclusions: Low birth weight was associated with poorer attention span in adult life; body weight gain at 2 years of age with better attention and memory function in adult life; a greater body mass index in adult life with better memory in adult life.</description><identifier>ISSN: 0964-7058</identifier><identifier>EISSN: 1440-6047</identifier><identifier>DOI: 10.6133/apjcn.201901_28(S1).0005</identifier><identifier>PMID: 30729775</identifier><language>eng</language><publisher>Australia: HEC Press</publisher><subject>Adults ; Age ; Babies ; Birth weight ; Birth weight, Low ; Body composition ; Body mass index ; Children ; Cognitive ability ; Cohort analysis ; Growth ; Growth rate ; Health risk assessment ; Insulin ; Insulin-like growth factors ; Intelligence ; Malnutrition ; Metabolism ; Obesity ; Proteins ; Risk factors ; Studies</subject><ispartof>Asia Pacific Journal of Clinical Nutrition, 2019-02, Vol.28 (Supplement 1), p.s51-s62</ispartof><rights>Copyright HEC Press Feb 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></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/30729775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nugraha, Gaga Irawan</creatorcontrib><creatorcontrib>Ong, Paulus Anam</creatorcontrib><creatorcontrib>Rachmi, Cut Novianti</creatorcontrib><creatorcontrib>Karyadi, Sri Hartini Ks</creatorcontrib><creatorcontrib>Alisjahbana, Anna</creatorcontrib><title>Optimisation of birth weight and growth in the first 2 years favours an adult body composition which supports more physiological resting metabolic rates and cognitive function: Tanjungsari Cohort Study (TCS)</title><title>Asia Pacific Journal of Clinical Nutrition</title><addtitle>Asia Pac J Clin Nutr</addtitle><description>Background and Objectives: Resting metabolic rate and cognitive function may be associated with several factors, such as birth weight, growth, and fat-free mass in adulthood. The Tanjungsari Cohort Study (TCS) of 1988, to do with a maternal-child Risk Approach Strategy (RAS), provided the opportunity to determine the associations between birth weight, growth at 2 years, and body composition with adult resting metabolic rate and cognitive function.
Methods and Study Design: In 2009 some 197 and, in 2017,144 of these representative participants from the TCS were assessed for energy intake, anthropometry, body composition, indirect calorimetry, and cognitive function in relation to low (ALBW, n=66) or normal (ANBW, n=78) birth weight. Associations were adjusted for basic demographic data.
Results: Resting metabolic rate was positively associated with birth weight, body weight at 2 years of age, body mass index and fat free mass in adult life. Time to finish the Trail Making Test-A (TMT-A), a test of attention span, was significantly longer in the ALBW than the ANBW group (41.4+-12.8 vs 37.8+-15.6, p=0.005). In the ALBW group, weight catch-up improved TMT-A and logical memory test scores (29.5 vs 34.9.41, 'p'=0.004; and 39.3 vs 29.4, 'p'=0.04, respectively).
Conclusions: Low birth weight was associated with poorer attention span in adult life; body weight gain at 2 years of age with better attention and memory function in adult life; a greater body mass index in adult life with better memory in adult life.</description><subject>Adults</subject><subject>Age</subject><subject>Babies</subject><subject>Birth weight</subject><subject>Birth weight, Low</subject><subject>Body composition</subject><subject>Body mass index</subject><subject>Children</subject><subject>Cognitive ability</subject><subject>Cohort analysis</subject><subject>Growth</subject><subject>Growth rate</subject><subject>Health risk assessment</subject><subject>Insulin</subject><subject>Insulin-like growth factors</subject><subject>Intelligence</subject><subject>Malnutrition</subject><subject>Metabolism</subject><subject>Obesity</subject><subject>Proteins</subject><subject>Risk factors</subject><subject>Studies</subject><issn>0964-7058</issn><issn>1440-6047</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNks9u1DAQxiMEokvhFZAlLtvDLv4TJzE3tCoUqVIPu3C1Jo6TeJXYwXa62qfklfBuW4EqIXGwRvZ8-o1n5ssyRPC6IIx9hGmv7JpiIjCRtFpuydUaY8xfZAuS53hV4Lx8mS2wKPJViXl1kb0JYZ8ULMf8dXbBcElFWfJF9utuimY0AaJxFrkW1cbHHh206fqIwDao8-6QXoxFsdeoNT5ERNFRgw-ohXs3pwgWQTMPEdWuOSLlxskFcyYeeqN6FOZpcj4GNDqv0dQfg3GD64yCAXkdorEdGnWE2g1GIQ9Rh3Nt5TqbOPep7mzVCfgJ7cDuZ9sF8AZtXJ-waBvnVHa522yv3mavWhiCfvcYL7PvX653m5vV7d3Xb5vPtyvI8yqulGCNEo1WrGZ1BZw1bV6XpRaMlgyoEqRtWHvKtlwUipeaVJwx3vBai4ZydpktH7iTdz_n1IJMQ1R6GMBqNwdJKeEY0zIXSfrhmXSfhmbT7yQlosoJFQIn1ftH1VyPupGTNyP4o3xaVRL8eBD40USp3DDo80TCHmKQIe1D9dLY1p3zzneycUZCHSTBkjFSSKMHmEASkTOCGRVYlMkhCXzzFzgp2vhP3P-iwPi0tz-Nnpx4MqJ88uwpUEKTJZ9dAk-noOw3vennyg</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Nugraha, Gaga Irawan</creator><creator>Ong, Paulus Anam</creator><creator>Rachmi, Cut Novianti</creator><creator>Karyadi, Sri Hartini Ks</creator><creator>Alisjahbana, Anna</creator><general>HEC Press</general><scope>188</scope><scope>NPM</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20190201</creationdate><title>Optimisation of birth weight and growth in the first 2 years favours an adult body composition which supports more physiological resting metabolic rates and cognitive function: Tanjungsari Cohort Study (TCS)</title><author>Nugraha, Gaga Irawan ; Ong, Paulus Anam ; Rachmi, Cut Novianti ; Karyadi, Sri Hartini Ks ; Alisjahbana, Anna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a448t-c93dc9dec3b3b8a53df4b77e93273a2c91fd3fc3b3f596c57e185335d5be9d253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adults</topic><topic>Age</topic><topic>Babies</topic><topic>Birth weight</topic><topic>Birth weight, Low</topic><topic>Body composition</topic><topic>Body mass index</topic><topic>Children</topic><topic>Cognitive ability</topic><topic>Cohort analysis</topic><topic>Growth</topic><topic>Growth rate</topic><topic>Health risk assessment</topic><topic>Insulin</topic><topic>Insulin-like growth factors</topic><topic>Intelligence</topic><topic>Malnutrition</topic><topic>Metabolism</topic><topic>Obesity</topic><topic>Proteins</topic><topic>Risk factors</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nugraha, Gaga Irawan</creatorcontrib><creatorcontrib>Ong, Paulus Anam</creatorcontrib><creatorcontrib>Rachmi, Cut Novianti</creatorcontrib><creatorcontrib>Karyadi, Sri Hartini Ks</creatorcontrib><creatorcontrib>Alisjahbana, Anna</creatorcontrib><collection>Airiti Library</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>East & South Asia Database</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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 China</collection><collection>MEDLINE - Academic</collection><jtitle>Asia Pacific Journal of Clinical Nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nugraha, Gaga Irawan</au><au>Ong, Paulus Anam</au><au>Rachmi, Cut Novianti</au><au>Karyadi, Sri Hartini Ks</au><au>Alisjahbana, Anna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimisation of birth weight and growth in the first 2 years favours an adult body composition which supports more physiological resting metabolic rates and cognitive function: Tanjungsari Cohort Study (TCS)</atitle><jtitle>Asia Pacific Journal of Clinical Nutrition</jtitle><addtitle>Asia Pac J Clin Nutr</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>28</volume><issue>Supplement 1</issue><spage>s51</spage><epage>s62</epage><pages>s51-s62</pages><issn>0964-7058</issn><eissn>1440-6047</eissn><abstract>Background and Objectives: Resting metabolic rate and cognitive function may be associated with several factors, such as birth weight, growth, and fat-free mass in adulthood. The Tanjungsari Cohort Study (TCS) of 1988, to do with a maternal-child Risk Approach Strategy (RAS), provided the opportunity to determine the associations between birth weight, growth at 2 years, and body composition with adult resting metabolic rate and cognitive function.
Methods and Study Design: In 2009 some 197 and, in 2017,144 of these representative participants from the TCS were assessed for energy intake, anthropometry, body composition, indirect calorimetry, and cognitive function in relation to low (ALBW, n=66) or normal (ANBW, n=78) birth weight. Associations were adjusted for basic demographic data.
Results: Resting metabolic rate was positively associated with birth weight, body weight at 2 years of age, body mass index and fat free mass in adult life. Time to finish the Trail Making Test-A (TMT-A), a test of attention span, was significantly longer in the ALBW than the ANBW group (41.4+-12.8 vs 37.8+-15.6, p=0.005). In the ALBW group, weight catch-up improved TMT-A and logical memory test scores (29.5 vs 34.9.41, 'p'=0.004; and 39.3 vs 29.4, 'p'=0.04, respectively).
Conclusions: Low birth weight was associated with poorer attention span in adult life; body weight gain at 2 years of age with better attention and memory function in adult life; a greater body mass index in adult life with better memory in adult life.</abstract><cop>Australia</cop><pub>HEC Press</pub><pmid>30729775</pmid><doi>10.6133/apjcn.201901_28(S1).0005</doi><tpages>051-S062</tpages></addata></record> |
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| ispartof | Asia Pacific Journal of Clinical Nutrition, 2019-02, Vol.28 (Supplement 1), p.s51-s62 |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Adults Age Babies Birth weight Birth weight, Low Body composition Body mass index Children Cognitive ability Cohort analysis Growth Growth rate Health risk assessment Insulin Insulin-like growth factors Intelligence Malnutrition Metabolism Obesity Proteins Risk factors Studies |
| title | Optimisation of birth weight and growth in the first 2 years favours an adult body composition which supports more physiological resting metabolic rates and cognitive function: Tanjungsari Cohort Study (TCS) |
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