Regional and sociodemographic differences in average BMI among US children in the ECHO program

Program collaborators for Environmental influences on Child Health Outcomes (ECHO)

doi:10.1002/oby.23235

Regional and sociodemographic differences in average BMI among US children in the ECHO program

Program collaborators for Environmental influences on Child Health Outcomes (ECHO)

Mailman School of Public Health

Résultat de recherche › examen par les pairs

5 Citations (Scopus)

Résumé

Objective: The aim of this study was to describe the association of individual-level characteristics (sex, race/ethnicity, birth weight, maternal education) with child BMI within each US Census region and variation in child BMI by region. Methods: This study used pooled data from 25 prospective cohort studies. Region of residence (Northeast, Midwest, South, West) was based on residential zip codes. Age- and sex-specific BMI z scores were the outcome. Results: The final sample included 14,313 children with 85,428 BMI measurements, 49% female and 51% non-Hispanic White. Males had a lower average BMI z score compared with females in the Midwest (β = −0.12, 95% CI: −0.19 to −0.05) and West (β = −0.12, 95% CI: −0.20 to −0.04). Compared with non-Hispanic White children, BMI z score was generally higher among children who were Hispanic and Black but not across all regions. Compared with the Northeast, average BMI z score was significantly higher in the Midwest (β = 0.09, 95% CI: 0.05 to 0.14) and lower in the South (β = −0.12, 95% CI: −0.16 to −0.08) and West (β = −0.14, 95% CI: −0.19 to −0.09) after adjustment for age, sex, race/ethnicity, and birth weight. Conclusions: Region of residence was associated with child BMI z scores, even after adjustment for sociodemographic characteristics. Understanding regional influences can inform targeted efforts to mitigate BMI-related disparities among children.

Langue d'origine	English
Pages (de-à)	2089-2099
Nombre de pages	11
Journal	Obesity
Volume	29
Numéro de publication	12
DOI	https://doi.org/10.1002/oby.23235
Statut de publication	Published - déc. 2021

Financement

Research reported in this publication was supported by the Environmental influences on Child Health Outcomes (ECHO) program, Office of The Director, NIH, under Award Numbers U2COD023375 (Coordinating Center), U24OD023382 (Data Analysis Center), U24OD023319 (PRO Core), and UG3/UH3 OD023279 (AJE), UG3/UH3 OD-023253 (CAC), UG3/UH3OD023328 (CSD), UG3/UH3 OD023318 (ALD), UG3/UH3 OD023289 (AF), UH3 OD023282 (DRG), UG3/UH3 OD023282 (TH), UG3/UH3 OD023244 (AEH), UG3 OD023365 04 (IH-P), UG3/UH3OD023337 (KH), UG3/UH3OD023285, UG3/UH3OD023282 (CCJ and EZ), UG3/UH3 OD023275 (MRK), 5UH3 OD023282-04 (GKKH), UG3/UH3 OD023389 (LL and JN), UG3/UH3 OD023288 (CTE), UG3/UH3OD023337 (RW), UG3/UH3 023286 (EO), UH3OD023290 (AR), UG3OD023271 4UH3OD023271-03 (CJK and SS), 1UG3/1UH3 OD023271-01 (FAT), 8UG1OD024956 (CT), and 1UG1HD090904-01 (SEW). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH. The authors wish to thank our ECHO colleagues and the medical, nursing, and program staff, as well as the children and families participating in the ECHO cohorts. We also acknowledge the contribution of the following ECHO program collaborators: ECHO Components—Coordinating Center: Duke Clinical Research Institute, Durham, North Carolina: Smith PB, Newby KL, Benjamin DK; Data Analysis Center: Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland: Jacobson LP; Research Triangle Institute, Durham, North Carolina: Parker CB. ECHO Awardees and Cohorts: Columbia University, New York, New York: Perera FP, Herbstman JB; Kaiser Permanente, Oakland, California: Croen LA; New York University, New York, New York: Blair CB; New York University School of Medicine, New York, New York: Trasande L; Northeastern University, Boston, Massachusetts: Alshawabkeh AN; University of Utah, Salt Lake City: Stanford JB, Clark EB, Porucznik C; University of Wisconsin-Madison: Gern J; Washington University, St. Louis, Missouri: Bacharier L Per the NIH-approved ECHO Data Sharing Policy, ECHO-wide data have not yet been made available to the public. Requests to access the data sets should be directed to the ECHO Data Analysis Center, ECHO-DAC@rti.org Research reported in this publication was supported by the Environmental influences on Child Health Outcomes (ECHO) program, Office of The Director, NIH, under Award Numbers U2COD023375 (Coordinating Center), U24OD023382 (Data Analysis Center), U24OD023319 (PRO Core), and UG3/UH3 OD023279 (AJE), UG3/UH3 OD‐023253 (CAC), UG3/UH3OD023328 (CSD), UG3/UH3 OD023318 (ALD), UG3/UH3 OD023289 (AF), UH3 OD023282 (DRG), UG3/UH3 OD023282 (TH), UG3/UH3 OD023244 (AEH), UG3 OD023365 04 (IH‐P), UG3/UH3OD023337 (KH), UG3/UH3OD023285, UG3/UH3OD023282 (CCJ and EZ), UG3/UH3 OD023275 (MRK), 5UH3 OD023282‐04 (GKKH), UG3/UH3 OD023389 (LL and JN), UG3/UH3 OD023288 (CTE), UG3/UH3OD023337 (RW), UG3/UH3 023286 (EO), UH3OD023290 (AR), UG3OD023271 4UH3OD023271‐03 (CJK and SS), 1UG3/1UH3 OD023271‐01 (FAT), 8UG1OD024956 (CT), and 1UG1HD090904‐01 (SEW). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH

Bailleurs de fonds	Numéro du bailleur de fonds
FAT	1UG1HD090904‐01
New York University School of Medicine, New York, New York
New York University, New York, New York
National Institutes of Health	U24OD023319, UG3/UH3 OD023318, 1UG3/1UH3 OD023271‐01, UG3/UH3 OD023275, UG3/UH3 023286, UG3/UH3 OD023289, 8UG1OD024956, U2COD023375, UG3/UH3 OD023244, UG3/UH3 OD023288, UG3/UH3 OD023279, UG3/UH3 OD023389, UH3OD023290, UG3/UH3 OD‐023253, UG3/UH3OD023285, 5UH3 OD023282‐04, U24OD023382, 1UG1HD090904-01, UG3/UH3OD023328, UG3/UH3OD023337, UG3 OD023365 04 (IH‐P
Northeastern University

ASJC Scopus Subject Areas

Medicine (miscellaneous)
Endocrinology, Diabetes and Metabolism
Endocrinology
Nutrition and Dietetics

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

Accès au document

10.1002/oby.23235

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@article{ea757c47ee204589a41dfdba7e7621fa,

title = "Regional and sociodemographic differences in average BMI among US children in the ECHO program",

abstract = "Objective: The aim of this study was to describe the association of individual-level characteristics (sex, race/ethnicity, birth weight, maternal education) with child BMI within each US Census region and variation in child BMI by region. Methods: This study used pooled data from 25 prospective cohort studies. Region of residence (Northeast, Midwest, South, West) was based on residential zip codes. Age- and sex-specific BMI z scores were the outcome. Results: The final sample included 14,313 children with 85,428 BMI measurements, 49% female and 51% non-Hispanic White. Males had a lower average BMI z score compared with females in the Midwest (β = −0.12, 95% CI: −0.19 to −0.05) and West (β = −0.12, 95% CI: −0.20 to −0.04). Compared with non-Hispanic White children, BMI z score was generally higher among children who were Hispanic and Black but not across all regions. Compared with the Northeast, average BMI z score was significantly higher in the Midwest (β = 0.09, 95% CI: 0.05 to 0.14) and lower in the South (β = −0.12, 95% CI: −0.16 to −0.08) and West (β = −0.14, 95% CI: −0.19 to −0.09) after adjustment for age, sex, race/ethnicity, and birth weight. Conclusions: Region of residence was associated with child BMI z scores, even after adjustment for sociodemographic characteristics. Understanding regional influences can inform targeted efforts to mitigate BMI-related disparities among children.",

author = "{Program collaborators for Environmental influences on Child Health Outcomes (ECHO)} and Bekelman, {Traci A.} and Dana Dabelea and Ganiban, {Jody M.} and Andrew Law and {McGovern Reilly}, Alexandra and Althoff, {Keri N.} and Noel Mueller and Camargo, {Carlos A.} and Duarte, {Cristiane S.} and Dunlop, {Anne L.} and Elliott, {Amy J.} and Assiamira Ferrara and Gold, {Diane R.} and Irva Hertz-Picciotto and Tina Hartert and Hipwell, {Alison E.} and Kathi Huddleston and Johnson, {Christine C.} and Karagas, {Margaret R.} and Karr, {Catherine J.} and Hershey, {Gurjit K.Khurana} and Leslie Leve and Somdat Mahabir and McEvoy, {Cindy T.} and Jenae Neiderhiser and Emily Oken and Andrew Rundle and Sheela Sathyanarayana and Christine Turley and Tylavsky, {Frances A.} and Watson, {Sara E.} and Rosalind Wright and Mingyu Zhang and Edward Zoratti and Smith, {P. B.} and Newby, {K. L.} and Benjamin, {D. K.} and Jacobson, {L. P.} and Parker, {C. B.} and Perera, {F. P.} and Herbstman, {J. B.} and Croen, {L. A.} and Blair, {C. B.} and L. Trasande and Alshawabkeh, {A. N.} and Stanford, {J. B.} and Clark, {E. B.} and C. Porucznik and J. Gern and L. Bacharier",

note = "Publisher Copyright: {\textcopyright} 2021 The Obesity Society",

year = "2021",

month = dec,

doi = "10.1002/oby.23235",

language = "English",

volume = "29",

pages = "2089--2099",

journal = "Obesity",

issn = "1930-7381",

publisher = "Wiley-Blackwell",

number = "12",

}

TY - JOUR

T1 - Regional and sociodemographic differences in average BMI among US children in the ECHO program

AU - Program collaborators for Environmental influences on Child Health Outcomes (ECHO)

AU - Bekelman, Traci A.

AU - Dabelea, Dana

AU - Ganiban, Jody M.

AU - Law, Andrew

AU - McGovern Reilly, Alexandra

AU - Althoff, Keri N.

AU - Mueller, Noel

AU - Camargo, Carlos A.

AU - Duarte, Cristiane S.

AU - Dunlop, Anne L.

AU - Elliott, Amy J.

AU - Ferrara, Assiamira

AU - Gold, Diane R.

AU - Hertz-Picciotto, Irva

AU - Hartert, Tina

AU - Hipwell, Alison E.

AU - Huddleston, Kathi

AU - Johnson, Christine C.

AU - Karagas, Margaret R.

AU - Karr, Catherine J.

AU - Hershey, Gurjit K.Khurana

AU - Leve, Leslie

AU - Mahabir, Somdat

AU - McEvoy, Cindy T.

AU - Neiderhiser, Jenae

AU - Oken, Emily

AU - Rundle, Andrew

AU - Sathyanarayana, Sheela

AU - Turley, Christine

AU - Tylavsky, Frances A.

AU - Watson, Sara E.

AU - Wright, Rosalind

AU - Zhang, Mingyu

AU - Zoratti, Edward

AU - Smith, P. B.

AU - Newby, K. L.

AU - Benjamin, D. K.

AU - Jacobson, L. P.

AU - Parker, C. B.

AU - Perera, F. P.

AU - Herbstman, J. B.

AU - Croen, L. A.

AU - Blair, C. B.

AU - Trasande, L.

AU - Alshawabkeh, A. N.

AU - Stanford, J. B.

AU - Clark, E. B.

AU - Porucznik, C.

AU - Gern, J.

AU - Bacharier, L.

PY - 2021/12

Y1 - 2021/12

N2 - Objective: The aim of this study was to describe the association of individual-level characteristics (sex, race/ethnicity, birth weight, maternal education) with child BMI within each US Census region and variation in child BMI by region. Methods: This study used pooled data from 25 prospective cohort studies. Region of residence (Northeast, Midwest, South, West) was based on residential zip codes. Age- and sex-specific BMI z scores were the outcome. Results: The final sample included 14,313 children with 85,428 BMI measurements, 49% female and 51% non-Hispanic White. Males had a lower average BMI z score compared with females in the Midwest (β = −0.12, 95% CI: −0.19 to −0.05) and West (β = −0.12, 95% CI: −0.20 to −0.04). Compared with non-Hispanic White children, BMI z score was generally higher among children who were Hispanic and Black but not across all regions. Compared with the Northeast, average BMI z score was significantly higher in the Midwest (β = 0.09, 95% CI: 0.05 to 0.14) and lower in the South (β = −0.12, 95% CI: −0.16 to −0.08) and West (β = −0.14, 95% CI: −0.19 to −0.09) after adjustment for age, sex, race/ethnicity, and birth weight. Conclusions: Region of residence was associated with child BMI z scores, even after adjustment for sociodemographic characteristics. Understanding regional influences can inform targeted efforts to mitigate BMI-related disparities among children.

AB - Objective: The aim of this study was to describe the association of individual-level characteristics (sex, race/ethnicity, birth weight, maternal education) with child BMI within each US Census region and variation in child BMI by region. Methods: This study used pooled data from 25 prospective cohort studies. Region of residence (Northeast, Midwest, South, West) was based on residential zip codes. Age- and sex-specific BMI z scores were the outcome. Results: The final sample included 14,313 children with 85,428 BMI measurements, 49% female and 51% non-Hispanic White. Males had a lower average BMI z score compared with females in the Midwest (β = −0.12, 95% CI: −0.19 to −0.05) and West (β = −0.12, 95% CI: −0.20 to −0.04). Compared with non-Hispanic White children, BMI z score was generally higher among children who were Hispanic and Black but not across all regions. Compared with the Northeast, average BMI z score was significantly higher in the Midwest (β = 0.09, 95% CI: 0.05 to 0.14) and lower in the South (β = −0.12, 95% CI: −0.16 to −0.08) and West (β = −0.14, 95% CI: −0.19 to −0.09) after adjustment for age, sex, race/ethnicity, and birth weight. Conclusions: Region of residence was associated with child BMI z scores, even after adjustment for sociodemographic characteristics. Understanding regional influences can inform targeted efforts to mitigate BMI-related disparities among children.

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UR - http://www.scopus.com/inward/citedby.url?scp=85114031841&partnerID=8YFLogxK

U2 - 10.1002/oby.23235

DO - 10.1002/oby.23235

M3 - Article

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AN - SCOPUS:85114031841

SN - 1930-7381

VL - 29

SP - 2089

EP - 2099

JO - Obesity

JF - Obesity

IS - 12

ER -

Regional and sociodemographic differences in average BMI among US children in the ECHO program

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ASJC Scopus Subject Areas

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