Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11–12 year olds and midlife adults?
Background/objectives Microvascular changes may contribute to obesity-associated cardiovascular disease. We examined whether body mass index (BMI) and waist-to-height ratio (WHtR) (1) at multiple earlier time points and (2) decade-long trajectories predicted retinal microvascular parameters in mid-c...
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Veröffentlicht in: | International Journal of Obesity 2020-08, Vol.44 (8), p.1712-1722 |
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container_title | International Journal of Obesity |
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creator | Liu, Mengjiao Lycett, Kate Wong, Tien Yin Kerr, Jessica A. He, Mingguang Juonala, Markus Olds, Tim Dwyer, Terry Burgner, David Wake, Melissa |
description | Background/objectives
Microvascular changes may contribute to obesity-associated cardiovascular disease. We examined whether body mass index (BMI) and waist-to-height ratio (WHtR) (1) at multiple earlier time points and (2) decade-long trajectories predicted retinal microvascular parameters in mid-childhood/adulthood.
Methods
Participants/design:
1288 11–12 year olds (51% girls) and 1264 parents (87% mothers) in the population-based Child Health CheckPoint (CheckPoint) module within the Longitudinal Study of Australian Children (LSAC).
LSAC exposure measures:
biennial BMI
z
-score and WHtR for children at five time points from age 2–3 to 10–11 years and self-reported parent BMI at six time points from child age 0–1 years to 10–11 years.
CheckPoint outcome measures:
retinal arteriolar and venular caliber.
Analyses:
BMI/WHtR trajectories were identified by group-based trajectory modeling; linear regression models estimated associations between BMI/WHtR at each time point/trajectories and later retinal vascular caliber, adjusted for age, sex, and family socioeconomic status.
Results
In time point analyses, higher child BMI/WHtR from age 4 to 5 years was associated with narrower arteriolar caliber at the age of 11–12 years, but not venular caliber. For example, each standard deviation higher in BMI
z
-score at 4–5 years was associated with narrower arteriolar caliber at 11–12 years (standardized mean difference (SMD): −0.05, 95% confidence interval (CI): −0.10 to 0.01); by 10–11 years, associations had doubled to −0.10 (95% CI: −0.16 to −0.05). In adults, these finding were similar, except the magnitude of BMI and arteriolar associations were similar across all time points (SMD: −0.11 to −0.13). In child and adult BMI trajectory analyses, less favorable trajectories predicted narrower arteriolar (
p-
trend 0.1), caliber. Compared with those in the average BMI trajectory, SMDs in arterial caliber for children and adults in the highest trajectory were −0.25 (95% CI: −0.44 to −0.07) and −0.42 (95% CI: −0.73 to −0.10), respectively. Venular caliber showed late associations with child WHtR, but not with BMI in children or adults.
Conclusions
Associations of decade-long high BMI trajectories with narrowed retinal arteriolar caliber emerge in children, and are clearly evident by midlife. Adiposity appears to exert its early adverse life course impacts on the microcirculation more via arteriolar than venular mechanisms. |
doi_str_mv | 10.1038/s41366-020-0584-9 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2404640586</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A630528961</galeid><sourcerecordid>A630528961</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-8d88605f0609d2aa112e926c24e7c6fc679b8ae2c5e62e9b2baa91ab4213d283</originalsourceid><addsrcrecordid>eNp9ks9u1DAQxiMEoqXwAFyQJSTEJcV2bCc5oar8lSpx6d2a2JNdV0682E5hbzwCEm_Ik-DtFkoRIB8szfy-Gc3MV1WPGT1mtOleJMEapWrKaU1lJ-r-TnXIRKtqKfr2bnVIG9qWjJIH1YOULiilUlJ-vzpouChPqcPq66tAhmC3ZIKUiJstfiYwW_IJXMp1DvUa3WqdSYTsAgmXGEleI9lENGjdvCIWDdirgHWmcJjdDJ5MzsRwCcksHvISsZQmjH3_8o1xskWIJHibrjpNzno3IgG7-JxePqzujeATPrr-j6rzN6_PT9_VZx_evj89OauNFCzXne06ReVIFe0tB2CMY8-V4QJbo0aj2n7oALmRqEpm4ANAz2AQnDWWd81R9XxfdhPDxwVT1pNLBr2HGcOSNBdUKFG2qgr69A_0IiyxDLmjWtUKIVv-f4qrlkratTfUCjxqN48hRzC71vpENVTyrlesUMd_oWC36LLXMOPoSvyW4NlvgjWCz-sU_FJuNqfbINuD5TopRRz1JroJ4lYzqnee0ntP6eIpvfOU7ovmyfVkyzCh_aX4aaIC8D2QSmpeYbwZ_d9VfwBAJ9S8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2426705087</pqid></control><display><type>article</type><title>Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11–12 year olds and midlife adults?</title><source>Nature Journals Online</source><source>SpringerLink Journals - AutoHoldings</source><creator>Liu, Mengjiao ; Lycett, Kate ; Wong, Tien Yin ; Kerr, Jessica A. ; He, Mingguang ; Juonala, Markus ; Olds, Tim ; Dwyer, Terry ; Burgner, David ; Wake, Melissa</creator><creatorcontrib>Liu, Mengjiao ; Lycett, Kate ; Wong, Tien Yin ; Kerr, Jessica A. ; He, Mingguang ; Juonala, Markus ; Olds, Tim ; Dwyer, Terry ; Burgner, David ; Wake, Melissa</creatorcontrib><description>Background/objectives
Microvascular changes may contribute to obesity-associated cardiovascular disease. We examined whether body mass index (BMI) and waist-to-height ratio (WHtR) (1) at multiple earlier time points and (2) decade-long trajectories predicted retinal microvascular parameters in mid-childhood/adulthood.
Methods
Participants/design:
1288 11–12 year olds (51% girls) and 1264 parents (87% mothers) in the population-based Child Health CheckPoint (CheckPoint) module within the Longitudinal Study of Australian Children (LSAC).
LSAC exposure measures:
biennial BMI
z
-score and WHtR for children at five time points from age 2–3 to 10–11 years and self-reported parent BMI at six time points from child age 0–1 years to 10–11 years.
CheckPoint outcome measures:
retinal arteriolar and venular caliber.
Analyses:
BMI/WHtR trajectories were identified by group-based trajectory modeling; linear regression models estimated associations between BMI/WHtR at each time point/trajectories and later retinal vascular caliber, adjusted for age, sex, and family socioeconomic status.
Results
In time point analyses, higher child BMI/WHtR from age 4 to 5 years was associated with narrower arteriolar caliber at the age of 11–12 years, but not venular caliber. For example, each standard deviation higher in BMI
z
-score at 4–5 years was associated with narrower arteriolar caliber at 11–12 years (standardized mean difference (SMD): −0.05, 95% confidence interval (CI): −0.10 to 0.01); by 10–11 years, associations had doubled to −0.10 (95% CI: −0.16 to −0.05). In adults, these finding were similar, except the magnitude of BMI and arteriolar associations were similar across all time points (SMD: −0.11 to −0.13). In child and adult BMI trajectory analyses, less favorable trajectories predicted narrower arteriolar (
p-
trend < 0.05), but not venular (
p-
trend > 0.1), caliber. Compared with those in the average BMI trajectory, SMDs in arterial caliber for children and adults in the highest trajectory were −0.25 (95% CI: −0.44 to −0.07) and −0.42 (95% CI: −0.73 to −0.10), respectively. Venular caliber showed late associations with child WHtR, but not with BMI in children or adults.
Conclusions
Associations of decade-long high BMI trajectories with narrowed retinal arteriolar caliber emerge in children, and are clearly evident by midlife. Adiposity appears to exert its early adverse life course impacts on the microcirculation more via arteriolar than venular mechanisms.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/s41366-020-0584-9</identifier><identifier>PMID: 32424266</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/163/2743/393 ; 692/499 ; Adipose tissue ; Adults ; Age ; Body mass index ; Body size ; Cardiovascular diseases ; Children ; Children & youth ; Confidence intervals ; Correlation analysis ; Epidemiology ; Health aspects ; Health Promotion and Disease Prevention ; Internal Medicine ; Longitudinal studies ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Microvasculature ; Obesity ; Parents ; Prognosis ; Public Health ; Regression analysis ; Regression models ; Retina ; Socioeconomics ; Statistical analysis ; Trajectory analysis</subject><ispartof>International Journal of Obesity, 2020-08, Vol.44 (8), p.1712-1722</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020</rights><rights>COPYRIGHT 2020 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-8d88605f0609d2aa112e926c24e7c6fc679b8ae2c5e62e9b2baa91ab4213d283</citedby><cites>FETCH-LOGICAL-c541t-8d88605f0609d2aa112e926c24e7c6fc679b8ae2c5e62e9b2baa91ab4213d283</cites><orcidid>0000-0002-2091-7663 ; 0000-0002-8337-7633 ; 0000-0001-9498-364X ; 0000-0002-3150-4047</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41366-020-0584-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41366-020-0584-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32424266$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Mengjiao</creatorcontrib><creatorcontrib>Lycett, Kate</creatorcontrib><creatorcontrib>Wong, Tien Yin</creatorcontrib><creatorcontrib>Kerr, Jessica A.</creatorcontrib><creatorcontrib>He, Mingguang</creatorcontrib><creatorcontrib>Juonala, Markus</creatorcontrib><creatorcontrib>Olds, Tim</creatorcontrib><creatorcontrib>Dwyer, Terry</creatorcontrib><creatorcontrib>Burgner, David</creatorcontrib><creatorcontrib>Wake, Melissa</creatorcontrib><title>Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11–12 year olds and midlife adults?</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Background/objectives
Microvascular changes may contribute to obesity-associated cardiovascular disease. We examined whether body mass index (BMI) and waist-to-height ratio (WHtR) (1) at multiple earlier time points and (2) decade-long trajectories predicted retinal microvascular parameters in mid-childhood/adulthood.
Methods
Participants/design:
1288 11–12 year olds (51% girls) and 1264 parents (87% mothers) in the population-based Child Health CheckPoint (CheckPoint) module within the Longitudinal Study of Australian Children (LSAC).
LSAC exposure measures:
biennial BMI
z
-score and WHtR for children at five time points from age 2–3 to 10–11 years and self-reported parent BMI at six time points from child age 0–1 years to 10–11 years.
CheckPoint outcome measures:
retinal arteriolar and venular caliber.
Analyses:
BMI/WHtR trajectories were identified by group-based trajectory modeling; linear regression models estimated associations between BMI/WHtR at each time point/trajectories and later retinal vascular caliber, adjusted for age, sex, and family socioeconomic status.
Results
In time point analyses, higher child BMI/WHtR from age 4 to 5 years was associated with narrower arteriolar caliber at the age of 11–12 years, but not venular caliber. For example, each standard deviation higher in BMI
z
-score at 4–5 years was associated with narrower arteriolar caliber at 11–12 years (standardized mean difference (SMD): −0.05, 95% confidence interval (CI): −0.10 to 0.01); by 10–11 years, associations had doubled to −0.10 (95% CI: −0.16 to −0.05). In adults, these finding were similar, except the magnitude of BMI and arteriolar associations were similar across all time points (SMD: −0.11 to −0.13). In child and adult BMI trajectory analyses, less favorable trajectories predicted narrower arteriolar (
p-
trend < 0.05), but not venular (
p-
trend > 0.1), caliber. Compared with those in the average BMI trajectory, SMDs in arterial caliber for children and adults in the highest trajectory were −0.25 (95% CI: −0.44 to −0.07) and −0.42 (95% CI: −0.73 to −0.10), respectively. Venular caliber showed late associations with child WHtR, but not with BMI in children or adults.
Conclusions
Associations of decade-long high BMI trajectories with narrowed retinal arteriolar caliber emerge in children, and are clearly evident by midlife. Adiposity appears to exert its early adverse life course impacts on the microcirculation more via arteriolar than venular mechanisms.</description><subject>692/163/2743/393</subject><subject>692/499</subject><subject>Adipose tissue</subject><subject>Adults</subject><subject>Age</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiovascular diseases</subject><subject>Children</subject><subject>Children & youth</subject><subject>Confidence intervals</subject><subject>Correlation analysis</subject><subject>Epidemiology</subject><subject>Health aspects</subject><subject>Health Promotion and Disease Prevention</subject><subject>Internal Medicine</subject><subject>Longitudinal studies</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Microvasculature</subject><subject>Obesity</subject><subject>Parents</subject><subject>Prognosis</subject><subject>Public Health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Retina</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Trajectory analysis</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9ks9u1DAQxiMEoqXwAFyQJSTEJcV2bCc5oar8lSpx6d2a2JNdV0682E5hbzwCEm_Ik-DtFkoRIB8szfy-Gc3MV1WPGT1mtOleJMEapWrKaU1lJ-r-TnXIRKtqKfr2bnVIG9qWjJIH1YOULiilUlJ-vzpouChPqcPq66tAhmC3ZIKUiJstfiYwW_IJXMp1DvUa3WqdSYTsAgmXGEleI9lENGjdvCIWDdirgHWmcJjdDJ5MzsRwCcksHvISsZQmjH3_8o1xskWIJHibrjpNzno3IgG7-JxePqzujeATPrr-j6rzN6_PT9_VZx_evj89OauNFCzXne06ReVIFe0tB2CMY8-V4QJbo0aj2n7oALmRqEpm4ANAz2AQnDWWd81R9XxfdhPDxwVT1pNLBr2HGcOSNBdUKFG2qgr69A_0IiyxDLmjWtUKIVv-f4qrlkratTfUCjxqN48hRzC71vpENVTyrlesUMd_oWC36LLXMOPoSvyW4NlvgjWCz-sU_FJuNqfbINuD5TopRRz1JroJ4lYzqnee0ntP6eIpvfOU7ovmyfVkyzCh_aX4aaIC8D2QSmpeYbwZ_d9VfwBAJ9S8</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Liu, Mengjiao</creator><creator>Lycett, Kate</creator><creator>Wong, Tien Yin</creator><creator>Kerr, Jessica A.</creator><creator>He, Mingguang</creator><creator>Juonala, Markus</creator><creator>Olds, Tim</creator><creator>Dwyer, Terry</creator><creator>Burgner, David</creator><creator>Wake, Melissa</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2091-7663</orcidid><orcidid>https://orcid.org/0000-0002-8337-7633</orcidid><orcidid>https://orcid.org/0000-0001-9498-364X</orcidid><orcidid>https://orcid.org/0000-0002-3150-4047</orcidid></search><sort><creationdate>20200801</creationdate><title>Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11–12 year olds and midlife adults?</title><author>Liu, Mengjiao ; Lycett, Kate ; Wong, Tien Yin ; Kerr, Jessica A. ; He, Mingguang ; Juonala, Markus ; Olds, Tim ; Dwyer, Terry ; Burgner, David ; Wake, Melissa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-8d88605f0609d2aa112e926c24e7c6fc679b8ae2c5e62e9b2baa91ab4213d283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>692/163/2743/393</topic><topic>692/499</topic><topic>Adipose tissue</topic><topic>Adults</topic><topic>Age</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiovascular diseases</topic><topic>Children</topic><topic>Children & youth</topic><topic>Confidence intervals</topic><topic>Correlation analysis</topic><topic>Epidemiology</topic><topic>Health aspects</topic><topic>Health Promotion and Disease Prevention</topic><topic>Internal Medicine</topic><topic>Longitudinal studies</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Microvasculature</topic><topic>Obesity</topic><topic>Parents</topic><topic>Prognosis</topic><topic>Public Health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Retina</topic><topic>Socioeconomics</topic><topic>Statistical analysis</topic><topic>Trajectory analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Mengjiao</creatorcontrib><creatorcontrib>Lycett, Kate</creatorcontrib><creatorcontrib>Wong, Tien Yin</creatorcontrib><creatorcontrib>Kerr, Jessica A.</creatorcontrib><creatorcontrib>He, Mingguang</creatorcontrib><creatorcontrib>Juonala, Markus</creatorcontrib><creatorcontrib>Olds, Tim</creatorcontrib><creatorcontrib>Dwyer, Terry</creatorcontrib><creatorcontrib>Burgner, David</creatorcontrib><creatorcontrib>Wake, Melissa</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science 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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Mengjiao</au><au>Lycett, Kate</au><au>Wong, Tien Yin</au><au>Kerr, Jessica A.</au><au>He, Mingguang</au><au>Juonala, Markus</au><au>Olds, Tim</au><au>Dwyer, Terry</au><au>Burgner, David</au><au>Wake, Melissa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11–12 year olds and midlife adults?</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>44</volume><issue>8</issue><spage>1712</spage><epage>1722</epage><pages>1712-1722</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><abstract>Background/objectives
Microvascular changes may contribute to obesity-associated cardiovascular disease. We examined whether body mass index (BMI) and waist-to-height ratio (WHtR) (1) at multiple earlier time points and (2) decade-long trajectories predicted retinal microvascular parameters in mid-childhood/adulthood.
Methods
Participants/design:
1288 11–12 year olds (51% girls) and 1264 parents (87% mothers) in the population-based Child Health CheckPoint (CheckPoint) module within the Longitudinal Study of Australian Children (LSAC).
LSAC exposure measures:
biennial BMI
z
-score and WHtR for children at five time points from age 2–3 to 10–11 years and self-reported parent BMI at six time points from child age 0–1 years to 10–11 years.
CheckPoint outcome measures:
retinal arteriolar and venular caliber.
Analyses:
BMI/WHtR trajectories were identified by group-based trajectory modeling; linear regression models estimated associations between BMI/WHtR at each time point/trajectories and later retinal vascular caliber, adjusted for age, sex, and family socioeconomic status.
Results
In time point analyses, higher child BMI/WHtR from age 4 to 5 years was associated with narrower arteriolar caliber at the age of 11–12 years, but not venular caliber. For example, each standard deviation higher in BMI
z
-score at 4–5 years was associated with narrower arteriolar caliber at 11–12 years (standardized mean difference (SMD): −0.05, 95% confidence interval (CI): −0.10 to 0.01); by 10–11 years, associations had doubled to −0.10 (95% CI: −0.16 to −0.05). In adults, these finding were similar, except the magnitude of BMI and arteriolar associations were similar across all time points (SMD: −0.11 to −0.13). In child and adult BMI trajectory analyses, less favorable trajectories predicted narrower arteriolar (
p-
trend < 0.05), but not venular (
p-
trend > 0.1), caliber. Compared with those in the average BMI trajectory, SMDs in arterial caliber for children and adults in the highest trajectory were −0.25 (95% CI: −0.44 to −0.07) and −0.42 (95% CI: −0.73 to −0.10), respectively. Venular caliber showed late associations with child WHtR, but not with BMI in children or adults.
Conclusions
Associations of decade-long high BMI trajectories with narrowed retinal arteriolar caliber emerge in children, and are clearly evident by midlife. Adiposity appears to exert its early adverse life course impacts on the microcirculation more via arteriolar than venular mechanisms.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32424266</pmid><doi>10.1038/s41366-020-0584-9</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2091-7663</orcidid><orcidid>https://orcid.org/0000-0002-8337-7633</orcidid><orcidid>https://orcid.org/0000-0001-9498-364X</orcidid><orcidid>https://orcid.org/0000-0002-3150-4047</orcidid><oa>free_for_read</oa></addata></record> |
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source | Nature Journals Online; SpringerLink Journals - AutoHoldings |
subjects | 692/163/2743/393 692/499 Adipose tissue Adults Age Body mass index Body size Cardiovascular diseases Children Children & youth Confidence intervals Correlation analysis Epidemiology Health aspects Health Promotion and Disease Prevention Internal Medicine Longitudinal studies Medicine Medicine & Public Health Metabolic Diseases Microvasculature Obesity Parents Prognosis Public Health Regression analysis Regression models Retina Socioeconomics Statistical analysis Trajectory analysis |
title | Do body mass index and waist-to-height ratio over the preceding decade predict retinal microvasculature in 11–12 year olds and midlife adults? |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T17%3A13%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Do%20body%20mass%20index%20and%20waist-to-height%20ratio%20over%20the%20preceding%20decade%20predict%20retinal%20microvasculature%20in%2011%E2%80%9312%20year%20olds%20and%20midlife%20adults?&rft.jtitle=International%20Journal%20of%20Obesity&rft.au=Liu,%20Mengjiao&rft.date=2020-08-01&rft.volume=44&rft.issue=8&rft.spage=1712&rft.epage=1722&rft.pages=1712-1722&rft.issn=0307-0565&rft.eissn=1476-5497&rft_id=info:doi/10.1038/s41366-020-0584-9&rft_dat=%3Cgale_proqu%3EA630528961%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2426705087&rft_id=info:pmid/32424266&rft_galeid=A630528961&rfr_iscdi=true |