Associations Between Adverse Childhood Experiences and Early Adolescent Physical Activity in the United States

To determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9–14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels. We a...

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Published in:	Academic pediatrics Vol. 24; no. 4; pp. 662 - 668
Main Authors:	Al-shoaibi, Abubakr A.A., Iyra, Puja, Raney, Julia H., Ganson, Kyle T., Dooley, Erin E., Testa, Alexander, Jackson, Dylan B., Gabriel, Kelley P., Baker, Fiona C., Nagata, Jason M.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.05.2024
Subjects:	Adolescent adolescents adverse childhood experiences Adverse Childhood Experiences - statistics & numerical data Child Child Abuse - statistics & numerical data Cohort Studies Divorce - statistics & numerical data Exercise Female Fitbit Humans Linear Models Male Neonatal and Perinatal Medicine Pediatrics Physical Abuse - statistics & numerical data physical activity United States United States adolescents Fitbit adverse childhood experiences physical activity
ISSN:	1876-2859, 1876-2867, 1876-2867
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Abstract	To determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9–14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels. We analyzed data (n = 7046) from the Adolescent Brain Cognitive Development (ABCD) Study 4.0 release at baseline and year 2 follow-up. ACE (cumulative score and subtypes) and physical activity (average Fitbit daily steps assessed at Year 2) were analyzed using linear regression analyses. Covariates included race and ethnicity, sex, household income, parent education, body mass index, study site, twins/siblings, and data collection period. Adjusted models suggest an inverse association between number of ACEs and Fitbit daily steps, with ≥4 (compared to 0) ACEs associated with 567 fewer daily steps (95% CI -902.2, -232.2). Of the ACEs subtypes, emotional abuse (B = −719.3, 95% CI −1430.8, −7.9), physical neglect (B = −423.7, 95% CI −752.8, −94.6), household mental illness (B = −317.1, 95% CI −488.3, −145.9), and household divorce or separation (B = −275.4, 95% CI −521.5, −29.2) were inversely and statistically significant associated with Fitbit daily steps after adjusting for confounders. Our results suggest that there is an inverse, dose-dependent relationship between cumulative number of ACEs and physical activity as measured by daily steps. This work highlights the importance of screening for ACEs among young people at an early age to help identify those who could benefit from interventions or community programs that support increased physical activity.
AbstractList	To determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9–14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels. We analyzed data (n = 7046) from the Adolescent Brain Cognitive Development (ABCD) Study 4.0 release at baseline and year 2 follow-up. ACE (cumulative score and subtypes) and physical activity (average Fitbit daily steps assessed at Year 2) were analyzed using linear regression analyses. Covariates included race and ethnicity, sex, household income, parent education, body mass index, study site, twins/siblings, and data collection period. Adjusted models suggest an inverse association between number of ACEs and Fitbit daily steps, with ≥4 (compared to 0) ACEs associated with 567 fewer daily steps (95% CI -902.2, -232.2). Of the ACEs subtypes, emotional abuse (B = −719.3, 95% CI −1430.8, −7.9), physical neglect (B = −423.7, 95% CI −752.8, −94.6), household mental illness (B = −317.1, 95% CI −488.3, −145.9), and household divorce or separation (B = −275.4, 95% CI −521.5, −29.2) were inversely and statistically significant associated with Fitbit daily steps after adjusting for confounders. Our results suggest that there is an inverse, dose-dependent relationship between cumulative number of ACEs and physical activity as measured by daily steps. This work highlights the importance of screening for ACEs among young people at an early age to help identify those who could benefit from interventions or community programs that support increased physical activity. To determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9-14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels.OBJECTIVETo determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9-14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels.We analyzed data (n = 7046) from the Adolescent Brain Cognitive Development (ABCD) Study 4.0 release at baseline and year 2 follow-up. ACE (cumulative score and subtypes) and physical activity (average Fitbit daily steps assessed at Year 2) were analyzed using linear regression analyses. Covariates included race and ethnicity, sex, household income, parent education, body mass index, study site, twins/siblings, and data collection period.METHODSWe analyzed data (n = 7046) from the Adolescent Brain Cognitive Development (ABCD) Study 4.0 release at baseline and year 2 follow-up. ACE (cumulative score and subtypes) and physical activity (average Fitbit daily steps assessed at Year 2) were analyzed using linear regression analyses. Covariates included race and ethnicity, sex, household income, parent education, body mass index, study site, twins/siblings, and data collection period.Adjusted models suggest an inverse association between number of ACEs and Fitbit daily steps, with ≥4 (compared to 0) ACEs associated with 567 fewer daily steps (95% CI -902.2, -232.2). Of the ACEs subtypes, emotional abuse (B = -719.3, 95% CI -1430.8, -7.9), physical neglect (B = -423.7, 95% CI -752.8, -94.6), household mental illness (B = -317.1, 95% CI -488.3, -145.9), and household divorce or separation (B = -275.4, 95% CI -521.5, -29.2) were inversely and statistically significant associated with Fitbit daily steps after adjusting for confounders.RESULTSAdjusted models suggest an inverse association between number of ACEs and Fitbit daily steps, with ≥4 (compared to 0) ACEs associated with 567 fewer daily steps (95% CI -902.2, -232.2). Of the ACEs subtypes, emotional abuse (B = -719.3, 95% CI -1430.8, -7.9), physical neglect (B = -423.7, 95% CI -752.8, -94.6), household mental illness (B = -317.1, 95% CI -488.3, -145.9), and household divorce or separation (B = -275.4, 95% CI -521.5, -29.2) were inversely and statistically significant associated with Fitbit daily steps after adjusting for confounders.Our results suggest that there is an inverse, dose-dependent relationship between cumulative number of ACEs and physical activity as measured by daily steps. This work highlights the importance of screening for ACEs among young people at an early age to help identify those who could benefit from interventions or community programs that support increased physical activity.CONCLUSIONSOur results suggest that there is an inverse, dose-dependent relationship between cumulative number of ACEs and physical activity as measured by daily steps. This work highlights the importance of screening for ACEs among young people at an early age to help identify those who could benefit from interventions or community programs that support increased physical activity. To determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9-14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels. We analyzed data (n = 7046) from the Adolescent Brain Cognitive Development (ABCD) Study 4.0 release at baseline and year 2 follow-up. ACE (cumulative score and subtypes) and physical activity (average Fitbit daily steps assessed at Year 2) were analyzed using linear regression analyses. Covariates included race and ethnicity, sex, household income, parent education, body mass index, study site, twins/siblings, and data collection period. Adjusted models suggest an inverse association between number of ACEs and Fitbit daily steps, with ≥4 (compared to 0) ACEs associated with 567 fewer daily steps (95% CI -902.2, -232.2). Of the ACEs subtypes, emotional abuse (B = -719.3, 95% CI -1430.8, -7.9), physical neglect (B = -423.7, 95% CI -752.8, -94.6), household mental illness (B = -317.1, 95% CI -488.3, -145.9), and household divorce or separation (B = -275.4, 95% CI -521.5, -29.2) were inversely and statistically significant associated with Fitbit daily steps after adjusting for confounders. Our results suggest that there is an inverse, dose-dependent relationship between cumulative number of ACEs and physical activity as measured by daily steps. This work highlights the importance of screening for ACEs among young people at an early age to help identify those who could benefit from interventions or community programs that support increased physical activity. AbstractObjectiveTo determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based, demographically diverse cohort of 9–14-year-olds and to determine which subtypes of ACEs were associated with physical activity levels. MethodsWe analyzed data (n = 7046) from the Adolescent Brain Cognitive Development (ABCD) Study 4.0 release at baseline and year 2 follow-up. ACE (cumulative score and subtypes) and physical activity (average Fitbit daily steps assessed at Year 2) were analyzed using linear regression analyses. Covariates included race and ethnicity, sex, household income, parent education, body mass index, study site, twins/siblings, and data collection period. ResultsAdjusted models suggest an inverse association between number of ACEs and Fitbit daily steps, with ≥4 (compared to 0) ACEs associated with 567 fewer daily steps (95% CI -902.2, -232.2). Of the ACEs subtypes, emotional abuse (B = −719.3, 95% CI −1430.8, −7.9), physical neglect (B = −423.7, 95% CI −752.8, −94.6), household mental illness (B = −317.1, 95% CI −488.3, −145.9), and household divorce or separation (B = −275.4, 95% CI −521.5, −29.2) were inversely and statistically significant associated with Fitbit daily steps after adjusting for confounders. ConclusionsOur results suggest that there is an inverse, dose-dependent relationship between cumulative number of ACEs and physical activity as measured by daily steps. This work highlights the importance of screening for ACEs among young people at an early age to help identify those who could benefit from interventions or community programs that support increased physical activity.
Author	Iyra, Puja Jackson, Dylan B. Baker, Fiona C. Al-shoaibi, Abubakr A.A. Dooley, Erin E. Gabriel, Kelley P. Testa, Alexander Raney, Julia H. Ganson, Kyle T. Nagata, Jason M.
AuthorAffiliation	3 Department of Epidemiology, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35233, USA 2 Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street W, Toronto, Ontario, M5S 1V4, Canada 5 Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, USA 1 Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, California, 94143 USA 4 Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030, USA 7 School of Physiology, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa 6 Center for Health Sciences, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025 USA
AuthorAffiliation_xml	– name: 1 Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, California, 94143 USA – name: 3 Department of Epidemiology, University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35233, USA – name: 4 Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, 7000 Fannin St, Houston, TX 77030, USA – name: 5 Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, USA – name: 2 Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor Street W, Toronto, Ontario, M5S 1V4, Canada – name: 7 School of Physiology, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa – name: 6 Center for Health Sciences, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025 USA
Author_xml	– sequence: 1 givenname: Abubakr A.A. surname: Al-shoaibi fullname: Al-shoaibi, Abubakr A.A. organization: Division of Adolescent and Young Adult Medicine (AAA Al-shoaibi, P Iyra, JH Raney, and JM Nagata), Department of Pediatrics, University of California, San Francisco, Calif – sequence: 2 givenname: Puja surname: Iyra fullname: Iyra, Puja organization: Division of Adolescent and Young Adult Medicine (AAA Al-shoaibi, P Iyra, JH Raney, and JM Nagata), Department of Pediatrics, University of California, San Francisco, Calif – sequence: 3 givenname: Julia H. surname: Raney fullname: Raney, Julia H. organization: Division of Adolescent and Young Adult Medicine (AAA Al-shoaibi, P Iyra, JH Raney, and JM Nagata), Department of Pediatrics, University of California, San Francisco, Calif – sequence: 4 givenname: Kyle T. surname: Ganson fullname: Ganson, Kyle T. organization: Factor-Inwentash Faculty of Social Work (KT Ganson), University of Toronto, Toronto, Ontario, Canada – sequence: 5 givenname: Erin E. surname: Dooley fullname: Dooley, Erin E. organization: Department of Epidemiology (EE Dooley and KP Gabriel), University of Alabama at Birmingham – sequence: 6 givenname: Alexander orcidid: 0000-0002-8686-9115 surname: Testa fullname: Testa, Alexander organization: Department of Management (A Testa), Policy and Community Health, University of Texas Health Science Center at Houston – sequence: 7 givenname: Dylan B. surname: Jackson fullname: Jackson, Dylan B. organization: Department of Population (DB Jackson), Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md – sequence: 8 givenname: Kelley P. surname: Gabriel fullname: Gabriel, Kelley P. organization: Department of Epidemiology (EE Dooley and KP Gabriel), University of Alabama at Birmingham – sequence: 9 givenname: Fiona C. surname: Baker fullname: Baker, Fiona C. organization: Center for Health Sciences (FC Baker), SRI International, Menlo Park, Calif – sequence: 10 givenname: Jason M. surname: Nagata fullname: Nagata, Jason M. email: jason.nagata@ucsf.edu organization: Division of Adolescent and Young Adult Medicine (AAA Al-shoaibi, P Iyra, JH Raney, and JM Nagata), Department of Pediatrics, University of California, San Francisco, Calif
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Snippet	To determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a population-based,... AbstractObjectiveTo determine the associations between the number of adverse childhood experiences (ACEs) and objectively-measured physical activity (PA) in a...
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SubjectTerms	Adolescent adolescents adverse childhood experiences Adverse Childhood Experiences - statistics & numerical data Child Child Abuse - statistics & numerical data Cohort Studies Divorce - statistics & numerical data Exercise Female Fitbit Humans Linear Models Male Neonatal and Perinatal Medicine Pediatrics Physical Abuse - statistics & numerical data physical activity United States
Title	Associations Between Adverse Childhood Experiences and Early Adolescent Physical Activity in the United States
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