Longitudinal trajectories of BMI z‐score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes
Summary Background BMI fluctuations during puberty are common. Data on individual change in BMI from childhood to young adulthood are limited in youth with type 1 diabetes. Objectives To compare longitudinal trajectories of body mass index z score (BMIz) from childhood to adolescence across three re...
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| Veröffentlicht in: | Pediatric obesity 2020-02, Vol.15 (2), p.e12582-n/a |
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| creator | Phelan, Helen Foster, Nicole C. Schwandt, Anke Couper, Jennifer J. Willi, Steven Kroschwald, Peter Jones, Timothy W. Wu, Mengdi Steigleder‐Schweiger, Claudia Craig, Maria E. Maahs, David M. Prinz, Nicole |
| description | Summary
Background
BMI fluctuations during puberty are common. Data on individual change in BMI from childhood to young adulthood are limited in youth with type 1 diabetes.
Objectives
To compare longitudinal trajectories of body mass index z score (BMIz) from childhood to adolescence across three registries spanning five countries.
Methods
Data sources: T1DX (USA), DPV (Germany/Austria/Luxembourg) and ADDN (Australia). The analysis included 11,513 youth with type 1 diabetes, duration >1 year, at least one BMI measure at baseline (age 8‐10 years) and >5 aggregated BMI measures by year of age during follow‐up until age 17 years. BMIz was calculated based on WHO charts. Latent class growth modelling was used to identify subgroups following a similar trajectory of BMIz over time.
Results
Five distinct trajectories of BMIz were present in the T1DX and ADDN cohorts, while six trajectories were identified in the DPV cohort. Boys followed more often a low/near‐normal pattern while elevated BMIz curves were more likely in girls (ADDN; DPV). For T1DX cohort, no sex differences were observed. Comparing the reference group (BMIz ~0) with the other groups during puberty, higher BMIz was significantly associated with older age at T1D onset, racial/ethnic minority and elevated HbA1c (all p |
| doi_str_mv | 10.1111/ijpo.12582 |
| format | Article |
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Background
BMI fluctuations during puberty are common. Data on individual change in BMI from childhood to young adulthood are limited in youth with type 1 diabetes.
Objectives
To compare longitudinal trajectories of body mass index z score (BMIz) from childhood to adolescence across three registries spanning five countries.
Methods
Data sources: T1DX (USA), DPV (Germany/Austria/Luxembourg) and ADDN (Australia). The analysis included 11,513 youth with type 1 diabetes, duration >1 year, at least one BMI measure at baseline (age 8‐10 years) and >5 aggregated BMI measures by year of age during follow‐up until age 17 years. BMIz was calculated based on WHO charts. Latent class growth modelling was used to identify subgroups following a similar trajectory of BMIz over time.
Results
Five distinct trajectories of BMIz were present in the T1DX and ADDN cohorts, while six trajectories were identified in the DPV cohort. Boys followed more often a low/near‐normal pattern while elevated BMIz curves were more likely in girls (ADDN; DPV). For T1DX cohort, no sex differences were observed. Comparing the reference group (BMIz ~0) with the other groups during puberty, higher BMIz was significantly associated with older age at T1D onset, racial/ethnic minority and elevated HbA1c (all p<0.05).
Conclusion
This multinational study presents unique BMIz trajectories in youth with T1D across three continents. The prevalence of overweight and the longitudinal persistence of overweight support the need for close monitoring of weight and nutrition in this population. The international and individual differences likely result from diverse genetic, environmental and therapeutic factors.</description><identifier>ISSN: 2047-6302</identifier><identifier>EISSN: 2047-6310</identifier><identifier>DOI: 10.1111/ijpo.12582</identifier><identifier>PMID: 31691541</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adolescence ; Age ; BMI trajectories ; Body mass index ; Childrens health ; Diabetes ; Obesity ; Pediatrics ; Puberty ; type 1 diabetes</subject><ispartof>Pediatric obesity, 2020-02, Vol.15 (2), p.e12582-n/a</ispartof><rights>2019 World Obesity Federation</rights><rights>2019 World Obesity Federation.</rights><rights>2020 World Obesity Federation</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3572-ecb0d481e5acff629416ea3a4c683cbf97dfe22014d2a2cfe9a5857bf11aa4a53</citedby><cites>FETCH-LOGICAL-c3572-ecb0d481e5acff629416ea3a4c683cbf97dfe22014d2a2cfe9a5857bf11aa4a53</cites><orcidid>0000-0002-4024-1912</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijpo.12582$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijpo.12582$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31691541$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Phelan, Helen</creatorcontrib><creatorcontrib>Foster, Nicole C.</creatorcontrib><creatorcontrib>Schwandt, Anke</creatorcontrib><creatorcontrib>Couper, Jennifer J.</creatorcontrib><creatorcontrib>Willi, Steven</creatorcontrib><creatorcontrib>Kroschwald, Peter</creatorcontrib><creatorcontrib>Jones, Timothy W.</creatorcontrib><creatorcontrib>Wu, Mengdi</creatorcontrib><creatorcontrib>Steigleder‐Schweiger, Claudia</creatorcontrib><creatorcontrib>Craig, Maria E.</creatorcontrib><creatorcontrib>Maahs, David M.</creatorcontrib><creatorcontrib>Prinz, Nicole</creatorcontrib><creatorcontrib>Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow-up Registry (DPV) initiative</creatorcontrib><creatorcontrib>on behalf of the Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow‐up Registry (DPV) initiative</creatorcontrib><title>Longitudinal trajectories of BMI z‐score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes</title><title>Pediatric obesity</title><addtitle>Pediatr Obes</addtitle><description>Summary
Background
BMI fluctuations during puberty are common. Data on individual change in BMI from childhood to young adulthood are limited in youth with type 1 diabetes.
Objectives
To compare longitudinal trajectories of body mass index z score (BMIz) from childhood to adolescence across three registries spanning five countries.
Methods
Data sources: T1DX (USA), DPV (Germany/Austria/Luxembourg) and ADDN (Australia). The analysis included 11,513 youth with type 1 diabetes, duration >1 year, at least one BMI measure at baseline (age 8‐10 years) and >5 aggregated BMI measures by year of age during follow‐up until age 17 years. BMIz was calculated based on WHO charts. Latent class growth modelling was used to identify subgroups following a similar trajectory of BMIz over time.
Results
Five distinct trajectories of BMIz were present in the T1DX and ADDN cohorts, while six trajectories were identified in the DPV cohort. Boys followed more often a low/near‐normal pattern while elevated BMIz curves were more likely in girls (ADDN; DPV). For T1DX cohort, no sex differences were observed. Comparing the reference group (BMIz ~0) with the other groups during puberty, higher BMIz was significantly associated with older age at T1D onset, racial/ethnic minority and elevated HbA1c (all p<0.05).
Conclusion
This multinational study presents unique BMIz trajectories in youth with T1D across three continents. The prevalence of overweight and the longitudinal persistence of overweight support the need for close monitoring of weight and nutrition in this population. The international and individual differences likely result from diverse genetic, environmental and therapeutic factors.</description><subject>Adolescence</subject><subject>Age</subject><subject>BMI trajectories</subject><subject>Body mass index</subject><subject>Childrens health</subject><subject>Diabetes</subject><subject>Obesity</subject><subject>Pediatrics</subject><subject>Puberty</subject><subject>type 1 diabetes</subject><issn>2047-6302</issn><issn>2047-6310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kc9uEzEQhy0EolXphQdAlrihpvHY3t2EW6igTRVUDnBezXpni6OsvdhelXDiEfoOfTOeBKdpe-wc_Efz-ZPtH2NvQZxCrqldD_4UZDGTL9ihFLqalArEy6e1kAfsOMa1yFUKKIV-zQ4UlHMoNByyu5V31zaNrXW44SngmkzywVLkvuOfvi75n39_b6PxgT5ydNy6RMFhsn7HG98PGGz0bkcDnBSg-GKM2bOx6E74oqdgTT6HruXnFHp00_t-7k5X42_qGz-G67zjWz-mn_zG5iFtB-LAW4sNJYpv2KsON5GOH-Yj9uPL5-9nF5PV1fnybLGaGFVUckKmEa2eARVouq6Ucw0loUJtypkyTTev2o6kFKBbidJ0NMdiVlRNB4CosVBH7P3eOwT_a6SY6nW-XH5nrKXSSuUPq8pMfdhTJvgYA3X1EGyPYVuDqHeR1LtI6vtIMvzuQTk2PbVP6GMAGYA9cGM3tH1GVS8vv13tpf8Bc5GZog</recordid><startdate>202002</startdate><enddate>202002</enddate><creator>Phelan, Helen</creator><creator>Foster, Nicole C.</creator><creator>Schwandt, Anke</creator><creator>Couper, Jennifer J.</creator><creator>Willi, Steven</creator><creator>Kroschwald, Peter</creator><creator>Jones, Timothy W.</creator><creator>Wu, Mengdi</creator><creator>Steigleder‐Schweiger, Claudia</creator><creator>Craig, Maria E.</creator><creator>Maahs, David M.</creator><creator>Prinz, Nicole</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><orcidid>https://orcid.org/0000-0002-4024-1912</orcidid></search><sort><creationdate>202002</creationdate><title>Longitudinal trajectories of BMI z‐score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes</title><author>Phelan, Helen ; Foster, Nicole C. ; Schwandt, Anke ; Couper, Jennifer J. ; Willi, Steven ; Kroschwald, Peter ; Jones, Timothy W. ; Wu, Mengdi ; Steigleder‐Schweiger, Claudia ; Craig, Maria E. ; Maahs, David M. ; Prinz, Nicole</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3572-ecb0d481e5acff629416ea3a4c683cbf97dfe22014d2a2cfe9a5857bf11aa4a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescence</topic><topic>Age</topic><topic>BMI trajectories</topic><topic>Body mass index</topic><topic>Childrens health</topic><topic>Diabetes</topic><topic>Obesity</topic><topic>Pediatrics</topic><topic>Puberty</topic><topic>type 1 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Phelan, Helen</creatorcontrib><creatorcontrib>Foster, Nicole C.</creatorcontrib><creatorcontrib>Schwandt, Anke</creatorcontrib><creatorcontrib>Couper, Jennifer J.</creatorcontrib><creatorcontrib>Willi, Steven</creatorcontrib><creatorcontrib>Kroschwald, Peter</creatorcontrib><creatorcontrib>Jones, Timothy W.</creatorcontrib><creatorcontrib>Wu, Mengdi</creatorcontrib><creatorcontrib>Steigleder‐Schweiger, Claudia</creatorcontrib><creatorcontrib>Craig, Maria E.</creatorcontrib><creatorcontrib>Maahs, David M.</creatorcontrib><creatorcontrib>Prinz, Nicole</creatorcontrib><creatorcontrib>Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow-up Registry (DPV) initiative</creatorcontrib><creatorcontrib>on behalf of the Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow‐up Registry (DPV) initiative</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><jtitle>Pediatric obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Phelan, Helen</au><au>Foster, Nicole C.</au><au>Schwandt, Anke</au><au>Couper, Jennifer J.</au><au>Willi, Steven</au><au>Kroschwald, Peter</au><au>Jones, Timothy W.</au><au>Wu, Mengdi</au><au>Steigleder‐Schweiger, Claudia</au><au>Craig, Maria E.</au><au>Maahs, David M.</au><au>Prinz, Nicole</au><aucorp>Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow-up Registry (DPV) initiative</aucorp><aucorp>on behalf of the Australasian Diabetes Data Network (ADDN) Study Group, the T1D Exchange Clinic Network (T1DX) and the Prospective Diabetes Follow‐up Registry (DPV) initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal trajectories of BMI z‐score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes</atitle><jtitle>Pediatric obesity</jtitle><addtitle>Pediatr Obes</addtitle><date>2020-02</date><risdate>2020</risdate><volume>15</volume><issue>2</issue><spage>e12582</spage><epage>n/a</epage><pages>e12582-n/a</pages><issn>2047-6302</issn><eissn>2047-6310</eissn><abstract>Summary
Background
BMI fluctuations during puberty are common. Data on individual change in BMI from childhood to young adulthood are limited in youth with type 1 diabetes.
Objectives
To compare longitudinal trajectories of body mass index z score (BMIz) from childhood to adolescence across three registries spanning five countries.
Methods
Data sources: T1DX (USA), DPV (Germany/Austria/Luxembourg) and ADDN (Australia). The analysis included 11,513 youth with type 1 diabetes, duration >1 year, at least one BMI measure at baseline (age 8‐10 years) and >5 aggregated BMI measures by year of age during follow‐up until age 17 years. BMIz was calculated based on WHO charts. Latent class growth modelling was used to identify subgroups following a similar trajectory of BMIz over time.
Results
Five distinct trajectories of BMIz were present in the T1DX and ADDN cohorts, while six trajectories were identified in the DPV cohort. Boys followed more often a low/near‐normal pattern while elevated BMIz curves were more likely in girls (ADDN; DPV). For T1DX cohort, no sex differences were observed. Comparing the reference group (BMIz ~0) with the other groups during puberty, higher BMIz was significantly associated with older age at T1D onset, racial/ethnic minority and elevated HbA1c (all p<0.05).
Conclusion
This multinational study presents unique BMIz trajectories in youth with T1D across three continents. The prevalence of overweight and the longitudinal persistence of overweight support the need for close monitoring of weight and nutrition in this population. The international and individual differences likely result from diverse genetic, environmental and therapeutic factors.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31691541</pmid><doi>10.1111/ijpo.12582</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4024-1912</orcidid></addata></record> |
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| ispartof | Pediatric obesity, 2020-02, Vol.15 (2), p.e12582-n/a |
| issn | 2047-6302 2047-6310 |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Adolescence Age BMI trajectories Body mass index Childrens health Diabetes Obesity Pediatrics Puberty type 1 diabetes |
| title | Longitudinal trajectories of BMI z‐score: an international comparison of 11,513 Australian, American and German/Austrian/Luxembourgian youth with type 1 diabetes |
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