Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study
Variability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood. We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and...
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| Veröffentlicht in: | The American journal of clinical nutrition 2024-05, Vol.119 (5), p.1248-1258 |
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| creator | Megersa, Bikila S Andersen, Gregers S Abera, Mubarek Abdissa, Alemseged Zinab, Beakal Ali, Rahma Admassu, Bitiya Kedir, Elias Nitsch, Dorothea Filteau, Suzanne Girma, Tsinuel Yilma, Daniel Wells, Jonathan CK Friis, Henrik Wibaek, Rasmus |
| description | Variability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood.
We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y.
In the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression.
Compared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had −0.28 kg/m2 (95% CI: −0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: −1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: −0.8, 69.8) higher insulin and 30.3% (95% CI: −1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had −0.23 mmol/L (95% CI: −0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y.
Children with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y.
ISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296). |
| doi_str_mv | 10.1016/j.ajcnut.2024.03.004 |
| format | Article |
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We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y.
In the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression.
Compared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had −0.28 kg/m2 (95% CI: −0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: −1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: −0.8, 69.8) higher insulin and 30.3% (95% CI: −1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had −0.23 mmol/L (95% CI: −0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y.
Children with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y.
ISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296).</description><identifier>ISSN: 0002-9165</identifier><identifier>ISSN: 1938-3207</identifier><identifier>EISSN: 1938-3207</identifier><identifier>DOI: 10.1016/j.ajcnut.2024.03.004</identifier><identifier>PMID: 38458400</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Abdomen ; abdominal subcutaneous fat ; Adipose tissue ; Anthropometry ; Blood pressure ; BMI ; Body composition ; Body fat ; Body mass index ; Body size ; cardiometabolic markers ; Childhood ; Children ; Cholesterol ; Cohort analysis ; fat mass ; Fat-free body mass ; fat-free mass ; Glucose ; Glucose metabolism ; Homeostasis ; Infants ; Insulin ; Insulin resistance ; latent class trajectory ; Lipids ; Trajectory analysis ; visceral fat</subject><ispartof>The American journal of clinical nutrition, 2024-05, Vol.119 (5), p.1248-1258</ispartof><rights>2024 American Society for Nutrition</rights><rights>Copyright © 2024 American Society for Nutrition. All rights reserved.</rights><rights>Copyright American Society for Clinical Nutrition, Inc. May 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-285e1aa3b0079191c0fc1bb1af41d45292720e69b783fdd8763a44fbd43d61aa3</citedby><cites>FETCH-LOGICAL-c390t-285e1aa3b0079191c0fc1bb1af41d45292720e69b783fdd8763a44fbd43d61aa3</cites><orcidid>0000-0002-7227-9560</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38458400$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Megersa, Bikila S</creatorcontrib><creatorcontrib>Andersen, Gregers S</creatorcontrib><creatorcontrib>Abera, Mubarek</creatorcontrib><creatorcontrib>Abdissa, Alemseged</creatorcontrib><creatorcontrib>Zinab, Beakal</creatorcontrib><creatorcontrib>Ali, Rahma</creatorcontrib><creatorcontrib>Admassu, Bitiya</creatorcontrib><creatorcontrib>Kedir, Elias</creatorcontrib><creatorcontrib>Nitsch, Dorothea</creatorcontrib><creatorcontrib>Filteau, Suzanne</creatorcontrib><creatorcontrib>Girma, Tsinuel</creatorcontrib><creatorcontrib>Yilma, Daniel</creatorcontrib><creatorcontrib>Wells, Jonathan CK</creatorcontrib><creatorcontrib>Friis, Henrik</creatorcontrib><creatorcontrib>Wibaek, Rasmus</creatorcontrib><title>Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study</title><title>The American journal of clinical nutrition</title><addtitle>Am J Clin Nutr</addtitle><description>Variability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood.
We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y.
In the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression.
Compared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had −0.28 kg/m2 (95% CI: −0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: −1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: −0.8, 69.8) higher insulin and 30.3% (95% CI: −1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had −0.23 mmol/L (95% CI: −0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y.
Children with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y.
ISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296).</description><subject>Abdomen</subject><subject>abdominal subcutaneous fat</subject><subject>Adipose tissue</subject><subject>Anthropometry</subject><subject>Blood pressure</subject><subject>BMI</subject><subject>Body composition</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Body size</subject><subject>cardiometabolic markers</subject><subject>Childhood</subject><subject>Children</subject><subject>Cholesterol</subject><subject>Cohort analysis</subject><subject>fat mass</subject><subject>Fat-free body mass</subject><subject>fat-free mass</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Homeostasis</subject><subject>Infants</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>latent class trajectory</subject><subject>Lipids</subject><subject>Trajectory analysis</subject><subject>visceral fat</subject><issn>0002-9165</issn><issn>1938-3207</issn><issn>1938-3207</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc2OlTAYhonROMfROzCmiZtxAX79AYoLk-PJ-JNM4kbXTWmLFIEe26Jymd6RRUYXmrjq5nnf90ufLHuMocCAq-dDIQc1L7EgQFgBtABgd7IDbijPKYH6bnYAAJI3uCovsgchDACYMF7dzy4oZyVnAIfsxzEEp6yM1s0BuQ4Z6ccVqd6OundOo9bpFU0yBGRnbb6j6OVgVHTemoC-2djvhHLT2QW71SA5a6Sk19ZNJsrWjValBv_Z-IBkRPKTQRjQmpbCCxR7g65jb93ZyjltdHJOyBx7785b3q-_-v4ZubLHV6dnqLU-naBc73xEIS56fZjd6-QYzKPb9zL7-Pr6w-ltfvP-zbvT8SZXtIGYE14aLCVtAeoGN1hBp3DbYtkxrFlJGlITMFXT1px2WvO6opKxrtWM6moLXmZXe-_Zuy-LCVFMNigzjnI2bgmCNCWra14SntCnf6GDW_ycrhMUSlxyWjVVothOKe9C8KYTZ2_Tv60Cg9iUi0HsysWmXAAVSXmKPbktX9rJ6D-h344T8HIHTPqNr9Z4EZQ1szLa-mRSaGf_v_ATP8jDGQ</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Megersa, Bikila S</creator><creator>Andersen, Gregers S</creator><creator>Abera, Mubarek</creator><creator>Abdissa, Alemseged</creator><creator>Zinab, Beakal</creator><creator>Ali, Rahma</creator><creator>Admassu, Bitiya</creator><creator>Kedir, Elias</creator><creator>Nitsch, Dorothea</creator><creator>Filteau, Suzanne</creator><creator>Girma, Tsinuel</creator><creator>Yilma, Daniel</creator><creator>Wells, Jonathan CK</creator><creator>Friis, Henrik</creator><creator>Wibaek, Rasmus</creator><general>Elsevier Inc</general><general>American Society for Clinical Nutrition, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7T7</scope><scope>7TS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7227-9560</orcidid></search><sort><creationdate>20240501</creationdate><title>Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study</title><author>Megersa, Bikila S ; Andersen, Gregers S ; Abera, Mubarek ; Abdissa, Alemseged ; Zinab, Beakal ; Ali, Rahma ; Admassu, Bitiya ; Kedir, Elias ; Nitsch, Dorothea ; Filteau, Suzanne ; Girma, Tsinuel ; Yilma, Daniel ; Wells, Jonathan CK ; Friis, Henrik ; Wibaek, Rasmus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-285e1aa3b0079191c0fc1bb1af41d45292720e69b783fdd8763a44fbd43d61aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abdomen</topic><topic>abdominal subcutaneous fat</topic><topic>Adipose tissue</topic><topic>Anthropometry</topic><topic>Blood pressure</topic><topic>BMI</topic><topic>Body composition</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Body size</topic><topic>cardiometabolic markers</topic><topic>Childhood</topic><topic>Children</topic><topic>Cholesterol</topic><topic>Cohort analysis</topic><topic>fat mass</topic><topic>Fat-free body mass</topic><topic>fat-free mass</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Homeostasis</topic><topic>Infants</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>latent class trajectory</topic><topic>Lipids</topic><topic>Trajectory analysis</topic><topic>visceral fat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Megersa, Bikila S</creatorcontrib><creatorcontrib>Andersen, Gregers S</creatorcontrib><creatorcontrib>Abera, Mubarek</creatorcontrib><creatorcontrib>Abdissa, Alemseged</creatorcontrib><creatorcontrib>Zinab, Beakal</creatorcontrib><creatorcontrib>Ali, Rahma</creatorcontrib><creatorcontrib>Admassu, Bitiya</creatorcontrib><creatorcontrib>Kedir, Elias</creatorcontrib><creatorcontrib>Nitsch, Dorothea</creatorcontrib><creatorcontrib>Filteau, Suzanne</creatorcontrib><creatorcontrib>Girma, Tsinuel</creatorcontrib><creatorcontrib>Yilma, Daniel</creatorcontrib><creatorcontrib>Wells, Jonathan CK</creatorcontrib><creatorcontrib>Friis, Henrik</creatorcontrib><creatorcontrib>Wibaek, Rasmus</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Physical Education Index</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Megersa, Bikila S</au><au>Andersen, Gregers S</au><au>Abera, Mubarek</au><au>Abdissa, Alemseged</au><au>Zinab, Beakal</au><au>Ali, Rahma</au><au>Admassu, Bitiya</au><au>Kedir, Elias</au><au>Nitsch, Dorothea</au><au>Filteau, Suzanne</au><au>Girma, Tsinuel</au><au>Yilma, Daniel</au><au>Wells, Jonathan CK</au><au>Friis, Henrik</au><au>Wibaek, Rasmus</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study</atitle><jtitle>The American journal of clinical nutrition</jtitle><addtitle>Am J Clin Nutr</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>119</volume><issue>5</issue><spage>1248</spage><epage>1258</epage><pages>1248-1258</pages><issn>0002-9165</issn><issn>1938-3207</issn><eissn>1938-3207</eissn><abstract>Variability in body mass index (BMI) (kg/m2) trajectories is associated with body composition and cardiometabolic markers in early childhood, but it is unknown how these associations track to later childhood.
We aimed to assess associations of BMI trajectories from 0 to 5 y with body composition and cardiometabolic markers at 10 y.
In the Ethiopian infant anthropometry and body composition (iABC) birth cohort, we previously identified 4 distinct BMI trajectories from 0 to 5 y: stable low BMI (19.2%), normal BMI (48.8%), rapid growth to high BMI (17.9%), and slow growth to high BMI (14.1%). At 10 y, we obtained data from 320 children on anthropometry, body composition, abdominal subcutaneous and visceral fat, and cardiometabolic markers. Associations of BMI trajectories and 10-y outcomes were analyzed using multiple linear regression.
Compared with children with the normal BMI trajectory, those with rapid growth to high BMI had 1.7 cm (95% CI: 0.1, 3.3) larger waist circumference and those with slow growth to high had 0.63 kg/m2 (95% CI: 0.09, 1.17) greater fat mass index and 0.19 cm (95% CI: 0.02, 0.37) greater abdominal subcutaneous fat, whereas those with stable low BMI had −0.28 kg/m2 (95% CI: −0.59, 0.03) lower fat-free mass at 10 y. Although the confidence bands were wide and included the null value, children with rapid growth to high BMI trajectory had 48.6% (95% CI: −1.4, 123.8) higher C-peptide concentration and those with slow growth to high BMI had 29.8% (95% CI: −0.8, 69.8) higher insulin and 30.3% (95% CI: −1.1, 71.6) higher homeostasis model assessment of insulin resistance, whereas those with rapid growth to high BMI had −0.23 mmol/L (95% CI: −0.47, 0.02) lower total cholesterol concentration. The trajectories were not associated with abdominal visceral fat, blood pressure, glucose, and other lipids at 10 y.
Children with rapid and slow growth to high BMI trajectories before 5 y tend to show higher measures of adiposity and higher concentrations of markers related to glucose metabolism at 10 y.
ISRCTN46718296 (https://www.isrctn.com/ISRCTN46718296).</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38458400</pmid><doi>10.1016/j.ajcnut.2024.03.004</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-7227-9560</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0002-9165 |
| ispartof | The American journal of clinical nutrition, 2024-05, Vol.119 (5), p.1248-1258 |
| issn | 0002-9165 1938-3207 1938-3207 |
| language | eng |
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| source | Alma/SFX Local Collection |
| subjects | Abdomen abdominal subcutaneous fat Adipose tissue Anthropometry Blood pressure BMI Body composition Body fat Body mass index Body size cardiometabolic markers Childhood Children Cholesterol Cohort analysis fat mass Fat-free body mass fat-free mass Glucose Glucose metabolism Homeostasis Infants Insulin Insulin resistance latent class trajectory Lipids Trajectory analysis visceral fat |
| title | Associations of early childhood body mass index trajectories with body composition and cardiometabolic markers at age 10 years: the Ethiopian infant anthropometry and body composition (iABC) birth cohort study |
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