Prevalence, risk factors, and optimal way to determine overweight, obesity, and morbid obesity in the first Dutch cohort of 2338 long-term survivors of childhood cancer: a DCCSS-LATER study

BACKGROUNDOverweight and obesity are common challenges among childhood cancer survivors. Overweight may be disguised, as survivors can have normal weight but high fat percentage (fat%) on dual-energy X-ray absorptiometry (DXA). We aimed to assess prevalence, identify determinants and biomarkers, and...

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Veröffentlicht in:European journal of endocrinology 2023-11, Vol.189 (5), p.495-507
Hauptverfasser: Pluimakers, Vincent G, van Atteveld, Jenneke E, de Winter, Demi T C, Bolier, Melissa, Fiocco, Marta, Nievelstein, Rutger Jan A J, Janssens, Geert O R, Bresters, Dorine, van der Heiden-van der Loo, Margriet, de Vries, Andrica C H, Louwerens, Marloes, van der Pal, Heleen J, Pluijm, Saskia M F, Ronckers, Cecile M, Versluijs, Andrica B, Kremer, Leontien C M, Loonen, Jacqueline J, van Dulmen-den Broeder, Eline, Tissing, Wim J E, van Santen, Hanneke M, van den Heuvel-Eibrink, Marry M, Neggers, Sebastian J C M M
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container_issue 5
container_start_page 495
container_title European journal of endocrinology
container_volume 189
creator Pluimakers, Vincent G
van Atteveld, Jenneke E
de Winter, Demi T C
Bolier, Melissa
Fiocco, Marta
Nievelstein, Rutger Jan A J
Janssens, Geert O R
Bresters, Dorine
van der Heiden-van der Loo, Margriet
de Vries, Andrica C H
Louwerens, Marloes
van der Pal, Heleen J
Pluijm, Saskia M F
Ronckers, Cecile M
Versluijs, Andrica B
Kremer, Leontien C M
Loonen, Jacqueline J
van Dulmen-den Broeder, Eline
Tissing, Wim J E
van Santen, Hanneke M
van den Heuvel-Eibrink, Marry M
Neggers, Sebastian J C M M
description BACKGROUNDOverweight and obesity are common challenges among childhood cancer survivors. Overweight may be disguised, as survivors can have normal weight but high fat percentage (fat%) on dual-energy X-ray absorptiometry (DXA). We aimed to assess prevalence, identify determinants and biomarkers, and assess which method captures overweight best, in a nationwide cohort.METHODSThe prevalence of overweight and obesity, primarily defined by body mass index (BMI), was assessed in the DCCSS-LATER cohort of adult survivors treated from 1963-2002, with the LifeLines cohort as reference. The associations between risk factors and overweight metrics were investigated using logistic regression. Additional overweight metrics included DXA fat%, waist circumference (WC), waist/hip ratio (WHR), waist/height ratio (WHtR), and high-molecular-weight (HMW) adiponectin.RESULTSA total of 2338 (mean age 35.5 years, follow-up 28.3 years) survivors participated. The overweight prevalence was 46.3% in men and 44.3% in women (obesity 11.2% and 15.9%, morbid obesity 2.4% and 5.4%), with highest rates among brain tumor survivors. Compared to controls, there was no overall increased overweight rate, but this was higher in women > 50 years, morbid obesity in men > 50 years. Overweight at cancer diagnosis (adjusted odds ratio [aOR] = 3.83, 95% CI 2.19-6.69), cranial radiotherapy (aOR = 3.21, 95% CI 1.99-5.18), and growth hormone deficiency (separate model, aOR = 1.61, 95% CI 1.00-2.59) were associated with overweight. Using BMI, WC, WHR, and WHtR, overweight prevalence was similar. Low HMW adiponectin, present in only 4.5% of survivors, was an insensitive overweight marker. Dual-energy X-ray absorptiometry-based classification identified overweight in an additional 30%, particularly after abdominal radiotherapy, total body irradiation, anthracyclines, and platinum.CONCLUSIONSOverweight occurs in almost half of long-term survivors. There was no overall increased incidence of overweight compared to controls. We identified factors associated with overweight, as well as subgroups of survivors in whom DXA can more reliably assess overweight.
doi_str_mv 10.1093/ejendo/lvad139
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Overweight may be disguised, as survivors can have normal weight but high fat percentage (fat%) on dual-energy X-ray absorptiometry (DXA). We aimed to assess prevalence, identify determinants and biomarkers, and assess which method captures overweight best, in a nationwide cohort.METHODSThe prevalence of overweight and obesity, primarily defined by body mass index (BMI), was assessed in the DCCSS-LATER cohort of adult survivors treated from 1963-2002, with the LifeLines cohort as reference. The associations between risk factors and overweight metrics were investigated using logistic regression. Additional overweight metrics included DXA fat%, waist circumference (WC), waist/hip ratio (WHR), waist/height ratio (WHtR), and high-molecular-weight (HMW) adiponectin.RESULTSA total of 2338 (mean age 35.5 years, follow-up 28.3 years) survivors participated. The overweight prevalence was 46.3% in men and 44.3% in women (obesity 11.2% and 15.9%, morbid obesity 2.4% and 5.4%), with highest rates among brain tumor survivors. Compared to controls, there was no overall increased overweight rate, but this was higher in women &gt; 50 years, morbid obesity in men &gt; 50 years. Overweight at cancer diagnosis (adjusted odds ratio [aOR] = 3.83, 95% CI 2.19-6.69), cranial radiotherapy (aOR = 3.21, 95% CI 1.99-5.18), and growth hormone deficiency (separate model, aOR = 1.61, 95% CI 1.00-2.59) were associated with overweight. Using BMI, WC, WHR, and WHtR, overweight prevalence was similar. Low HMW adiponectin, present in only 4.5% of survivors, was an insensitive overweight marker. Dual-energy X-ray absorptiometry-based classification identified overweight in an additional 30%, particularly after abdominal radiotherapy, total body irradiation, anthracyclines, and platinum.CONCLUSIONSOverweight occurs in almost half of long-term survivors. There was no overall increased incidence of overweight compared to controls. We identified factors associated with overweight, as well as subgroups of survivors in whom DXA can more reliably assess overweight.</description><identifier>ISSN: 0804-4643</identifier><identifier>EISSN: 1479-683X</identifier><identifier>DOI: 10.1093/ejendo/lvad139</identifier><language>eng</language><ispartof>European journal of endocrinology, 2023-11, Vol.189 (5), p.495-507</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c312t-15ad870b6a53c12eee3cbb1a9186047e1baca4982ce9e1e03914821ec86c8db13</citedby><cites>FETCH-LOGICAL-c312t-15ad870b6a53c12eee3cbb1a9186047e1baca4982ce9e1e03914821ec86c8db13</cites><orcidid>0000-0002-3066-3951</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></links><search><creatorcontrib>Pluimakers, Vincent G</creatorcontrib><creatorcontrib>van Atteveld, Jenneke E</creatorcontrib><creatorcontrib>de Winter, Demi T C</creatorcontrib><creatorcontrib>Bolier, Melissa</creatorcontrib><creatorcontrib>Fiocco, Marta</creatorcontrib><creatorcontrib>Nievelstein, Rutger Jan A J</creatorcontrib><creatorcontrib>Janssens, Geert O R</creatorcontrib><creatorcontrib>Bresters, Dorine</creatorcontrib><creatorcontrib>van der Heiden-van der Loo, Margriet</creatorcontrib><creatorcontrib>de Vries, Andrica C H</creatorcontrib><creatorcontrib>Louwerens, Marloes</creatorcontrib><creatorcontrib>van der Pal, Heleen J</creatorcontrib><creatorcontrib>Pluijm, Saskia M F</creatorcontrib><creatorcontrib>Ronckers, Cecile M</creatorcontrib><creatorcontrib>Versluijs, Andrica B</creatorcontrib><creatorcontrib>Kremer, Leontien C M</creatorcontrib><creatorcontrib>Loonen, Jacqueline J</creatorcontrib><creatorcontrib>van Dulmen-den Broeder, Eline</creatorcontrib><creatorcontrib>Tissing, Wim J E</creatorcontrib><creatorcontrib>van Santen, Hanneke M</creatorcontrib><creatorcontrib>van den Heuvel-Eibrink, Marry M</creatorcontrib><creatorcontrib>Neggers, Sebastian J C M M</creatorcontrib><title>Prevalence, risk factors, and optimal way to determine overweight, obesity, and morbid obesity in the first Dutch cohort of 2338 long-term survivors of childhood cancer: a DCCSS-LATER study</title><title>European journal of endocrinology</title><description>BACKGROUNDOverweight and obesity are common challenges among childhood cancer survivors. Overweight may be disguised, as survivors can have normal weight but high fat percentage (fat%) on dual-energy X-ray absorptiometry (DXA). We aimed to assess prevalence, identify determinants and biomarkers, and assess which method captures overweight best, in a nationwide cohort.METHODSThe prevalence of overweight and obesity, primarily defined by body mass index (BMI), was assessed in the DCCSS-LATER cohort of adult survivors treated from 1963-2002, with the LifeLines cohort as reference. The associations between risk factors and overweight metrics were investigated using logistic regression. Additional overweight metrics included DXA fat%, waist circumference (WC), waist/hip ratio (WHR), waist/height ratio (WHtR), and high-molecular-weight (HMW) adiponectin.RESULTSA total of 2338 (mean age 35.5 years, follow-up 28.3 years) survivors participated. The overweight prevalence was 46.3% in men and 44.3% in women (obesity 11.2% and 15.9%, morbid obesity 2.4% and 5.4%), with highest rates among brain tumor survivors. Compared to controls, there was no overall increased overweight rate, but this was higher in women &gt; 50 years, morbid obesity in men &gt; 50 years. Overweight at cancer diagnosis (adjusted odds ratio [aOR] = 3.83, 95% CI 2.19-6.69), cranial radiotherapy (aOR = 3.21, 95% CI 1.99-5.18), and growth hormone deficiency (separate model, aOR = 1.61, 95% CI 1.00-2.59) were associated with overweight. Using BMI, WC, WHR, and WHtR, overweight prevalence was similar. Low HMW adiponectin, present in only 4.5% of survivors, was an insensitive overweight marker. Dual-energy X-ray absorptiometry-based classification identified overweight in an additional 30%, particularly after abdominal radiotherapy, total body irradiation, anthracyclines, and platinum.CONCLUSIONSOverweight occurs in almost half of long-term survivors. There was no overall increased incidence of overweight compared to controls. We identified factors associated with overweight, as well as subgroups of survivors in whom DXA can more reliably assess overweight.</description><issn>0804-4643</issn><issn>1479-683X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo1kU1P5DAMhqMVK-3A7nXPPu5hCnHTaVNuaPiURgLxIe2tShOXBjrNkKRF8-P4b3Q0cLJlv35t-WHsL_Jj5KU4oRfqjTvpRmVQlD_YDLOiTHIp_h-wGZc8S7I8E7_YYQgvnOOU8xn7uPM0qo56TXPwNrxCo3R0PsxB9QbcJtq16uBdbSE6MBTJr21P4Eby72Sf2zgHV1OwcbufWDtfW_NdA9tDbAka60OE8yHqFrRrnY_gGkiFkNC5_jnZ2UIY_GjHafeup1vbmdY5A1pNx_lTUHC-XD48JKuzx4t7CHEw29_sZ6O6QH--4hF7urx4XF4nq9urm-XZKtEC05jgQhlZ8DpXC6ExJSKh6xpViTLnWUFYK62yUqaaSkLiosRMpkha5lqaGsUR-7f33Xj3NlCI1doGTV2nenJDqFJZFEIiX8hJeryXau9C8NRUGz-90G8r5NWOU7XnVH1xEp8xqYuA</recordid><startdate>20231108</startdate><enddate>20231108</enddate><creator>Pluimakers, Vincent G</creator><creator>van Atteveld, Jenneke E</creator><creator>de Winter, Demi T C</creator><creator>Bolier, Melissa</creator><creator>Fiocco, Marta</creator><creator>Nievelstein, Rutger Jan A J</creator><creator>Janssens, Geert O R</creator><creator>Bresters, Dorine</creator><creator>van der Heiden-van der Loo, Margriet</creator><creator>de Vries, Andrica C H</creator><creator>Louwerens, Marloes</creator><creator>van der Pal, Heleen J</creator><creator>Pluijm, Saskia M F</creator><creator>Ronckers, Cecile M</creator><creator>Versluijs, Andrica B</creator><creator>Kremer, Leontien C M</creator><creator>Loonen, Jacqueline J</creator><creator>van Dulmen-den Broeder, Eline</creator><creator>Tissing, Wim J E</creator><creator>van Santen, Hanneke M</creator><creator>van den Heuvel-Eibrink, Marry M</creator><creator>Neggers, Sebastian J C M M</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3066-3951</orcidid></search><sort><creationdate>20231108</creationdate><title>Prevalence, risk factors, and optimal way to determine overweight, obesity, and morbid obesity in the first Dutch cohort of 2338 long-term survivors of childhood cancer: a DCCSS-LATER study</title><author>Pluimakers, Vincent G ; van Atteveld, Jenneke E ; de Winter, Demi T C ; Bolier, Melissa ; Fiocco, Marta ; Nievelstein, Rutger Jan A J ; Janssens, Geert O R ; Bresters, Dorine ; van der Heiden-van der Loo, Margriet ; de Vries, Andrica C H ; Louwerens, Marloes ; van der Pal, Heleen J ; Pluijm, Saskia M F ; Ronckers, Cecile M ; Versluijs, Andrica B ; Kremer, Leontien C M ; Loonen, Jacqueline J ; van Dulmen-den Broeder, Eline ; Tissing, Wim J E ; van Santen, Hanneke M ; van den Heuvel-Eibrink, Marry M ; Neggers, Sebastian J C M M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c312t-15ad870b6a53c12eee3cbb1a9186047e1baca4982ce9e1e03914821ec86c8db13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pluimakers, Vincent G</creatorcontrib><creatorcontrib>van Atteveld, Jenneke E</creatorcontrib><creatorcontrib>de Winter, Demi T C</creatorcontrib><creatorcontrib>Bolier, Melissa</creatorcontrib><creatorcontrib>Fiocco, Marta</creatorcontrib><creatorcontrib>Nievelstein, Rutger Jan A J</creatorcontrib><creatorcontrib>Janssens, Geert O R</creatorcontrib><creatorcontrib>Bresters, Dorine</creatorcontrib><creatorcontrib>van der Heiden-van der Loo, Margriet</creatorcontrib><creatorcontrib>de Vries, Andrica C H</creatorcontrib><creatorcontrib>Louwerens, Marloes</creatorcontrib><creatorcontrib>van der Pal, Heleen J</creatorcontrib><creatorcontrib>Pluijm, Saskia M F</creatorcontrib><creatorcontrib>Ronckers, Cecile M</creatorcontrib><creatorcontrib>Versluijs, Andrica B</creatorcontrib><creatorcontrib>Kremer, Leontien C M</creatorcontrib><creatorcontrib>Loonen, Jacqueline J</creatorcontrib><creatorcontrib>van Dulmen-den Broeder, Eline</creatorcontrib><creatorcontrib>Tissing, Wim J E</creatorcontrib><creatorcontrib>van Santen, Hanneke M</creatorcontrib><creatorcontrib>van den Heuvel-Eibrink, Marry M</creatorcontrib><creatorcontrib>Neggers, Sebastian J C M M</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of endocrinology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pluimakers, Vincent G</au><au>van Atteveld, Jenneke E</au><au>de Winter, Demi T C</au><au>Bolier, Melissa</au><au>Fiocco, Marta</au><au>Nievelstein, Rutger Jan A J</au><au>Janssens, Geert O R</au><au>Bresters, Dorine</au><au>van der Heiden-van der Loo, Margriet</au><au>de Vries, Andrica C H</au><au>Louwerens, Marloes</au><au>van der Pal, Heleen J</au><au>Pluijm, Saskia M F</au><au>Ronckers, Cecile M</au><au>Versluijs, Andrica B</au><au>Kremer, Leontien C M</au><au>Loonen, Jacqueline J</au><au>van Dulmen-den Broeder, Eline</au><au>Tissing, Wim J E</au><au>van Santen, Hanneke M</au><au>van den Heuvel-Eibrink, Marry M</au><au>Neggers, Sebastian J C M M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence, risk factors, and optimal way to determine overweight, obesity, and morbid obesity in the first Dutch cohort of 2338 long-term survivors of childhood cancer: a DCCSS-LATER study</atitle><jtitle>European journal of endocrinology</jtitle><date>2023-11-08</date><risdate>2023</risdate><volume>189</volume><issue>5</issue><spage>495</spage><epage>507</epage><pages>495-507</pages><issn>0804-4643</issn><eissn>1479-683X</eissn><abstract>BACKGROUNDOverweight and obesity are common challenges among childhood cancer survivors. Overweight may be disguised, as survivors can have normal weight but high fat percentage (fat%) on dual-energy X-ray absorptiometry (DXA). We aimed to assess prevalence, identify determinants and biomarkers, and assess which method captures overweight best, in a nationwide cohort.METHODSThe prevalence of overweight and obesity, primarily defined by body mass index (BMI), was assessed in the DCCSS-LATER cohort of adult survivors treated from 1963-2002, with the LifeLines cohort as reference. The associations between risk factors and overweight metrics were investigated using logistic regression. Additional overweight metrics included DXA fat%, waist circumference (WC), waist/hip ratio (WHR), waist/height ratio (WHtR), and high-molecular-weight (HMW) adiponectin.RESULTSA total of 2338 (mean age 35.5 years, follow-up 28.3 years) survivors participated. The overweight prevalence was 46.3% in men and 44.3% in women (obesity 11.2% and 15.9%, morbid obesity 2.4% and 5.4%), with highest rates among brain tumor survivors. Compared to controls, there was no overall increased overweight rate, but this was higher in women &gt; 50 years, morbid obesity in men &gt; 50 years. Overweight at cancer diagnosis (adjusted odds ratio [aOR] = 3.83, 95% CI 2.19-6.69), cranial radiotherapy (aOR = 3.21, 95% CI 1.99-5.18), and growth hormone deficiency (separate model, aOR = 1.61, 95% CI 1.00-2.59) were associated with overweight. Using BMI, WC, WHR, and WHtR, overweight prevalence was similar. Low HMW adiponectin, present in only 4.5% of survivors, was an insensitive overweight marker. Dual-energy X-ray absorptiometry-based classification identified overweight in an additional 30%, particularly after abdominal radiotherapy, total body irradiation, anthracyclines, and platinum.CONCLUSIONSOverweight occurs in almost half of long-term survivors. There was no overall increased incidence of overweight compared to controls. We identified factors associated with overweight, as well as subgroups of survivors in whom DXA can more reliably assess overweight.</abstract><doi>10.1093/ejendo/lvad139</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3066-3951</orcidid><oa>free_for_read</oa></addata></record>
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title Prevalence, risk factors, and optimal way to determine overweight, obesity, and morbid obesity in the first Dutch cohort of 2338 long-term survivors of childhood cancer: a DCCSS-LATER study
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