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Bagot KS, Tomko RL, Marshall AT, Hermann J, Cummins K, Ksinan A, Kakalis M, Breslin F, Lisdahl KM, Mason M, Redhead JN, Squeglia LM, Thompson WK, Wade T, Tapert SF, Fuemmeler BF, Baker FC. Youth screen use in the ABCD® study. Dev Cogn Neurosci 2022;57:101150. [PMID: 36084446 PMCID: PMC9465320 DOI: 10.1016/j.dcn.2022.101150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/13/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open

Abstract

Adolescent screen usage is ubiquitous and influences development and behavior. Longitudinal screen usage data coupled with psychometrically valid constructs of problematic behaviors can provide insights into these relationships. We describe methods by which the screen usage questionnaire was developed in the Adolescent Brain Cognitive Development (ABCD) Study, demonstrate longitudinal changes in screen usage via child report and describe data harmonization baseline-year 2. We further include psychometric analyses of adapted social media and video game addiction scales completed by youth. Nearly 12,000 children ages 9-10 years at baseline and their parents were included in the analyses. The social media addiction questionnaire (SMAQ) showed similar factor structure and item loadings across sex and race/ethnicities, but that item intercepts varied across both sex and race/ethnicity. The videogame addiction questionnaire (VGAQ) demonstrated the same configural, metric and scalar invariance across racial and ethnic groups, however differed across sex. Video gaming and online social activity increased over ages 9/10-11/12 (p's < 0.001). Compared with boys, girls engaged in greater social media use (p < .001) and demonstrated higher ratings on the SMAQ (p < .001). Compared with girls, boys played more video games (p < .001) and demonstrated higher ratings on the VGAQ (p < .001). Time spent playing video games increased more steeply for boys than girls from age 9/10-11/12 years (p < .001). Black youth demonstrated significantly higher SMAQ and VGAQ scores compared to all other racial/ethnic groups. These data show the importance of considering different screen modalities beyond total screen use and point towards clear demographic differences in use patterns. With these comprehensive data, ABCD is poised to address critical questions about screen usage changes across adolescence.

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Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021;24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]

Affiliation(s)

B Chaarani Department of Psychiatry, University of Vermont, Burlington, VT, USA.
S Hahn Department of Psychiatry, University of Vermont, Burlington, VT, USA
N Allgaier Department of Psychiatry, University of Vermont, Burlington, VT, USA
S Adise Department of Psychiatry, University of Vermont, Burlington, VT, USA
M M Owens Department of Psychiatry, University of Vermont, Burlington, VT, USA
A C Juliano Department of Psychiatry, University of Vermont, Burlington, VT, USA
D K Yuan Department of Psychiatry, University of Vermont, Burlington, VT, USA
H Loso Department of Psychiatry, University of Vermont, Burlington, VT, USA
A Ivanciu Department of Psychiatry, University of Vermont, Burlington, VT, USA
M D Albaugh Department of Psychiatry, University of Vermont, Burlington, VT, USA
J Dumas Department of Psychiatry, University of Vermont, Burlington, VT, USA
S Mackey Department of Psychiatry, University of Vermont, Burlington, VT, USA
J Laurent Department of Psychiatry, University of Vermont, Burlington, VT, USA
M Ivanova Department of Psychiatry, University of Vermont, Burlington, VT, USA
D J Hagler University of California, San Diego, La Jolla, CA, USA
M D Cornejo Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
S Hatton University of California, San Diego, La Jolla, CA, USA
A Agrawal Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
L Aguinaldo University of California, San Diego, La Jolla, CA, USA
L Ahonen University of Pittsburgh, Pittsburgh, PA, USA
W Aklin National Institute on Drug Abuse, Bethesda, MD, USA
A P Anokhin Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
J Arroyo National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
S Avenevoli National Institute of Mental Health, Bethesda, MD, USA
D Babcock National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
K Bagot Icahn School of Medicine at Mount Sinai, New York, NY, USA
F C Baker SRI International, Menlo Park, CA, USA
M T Banich University of Colorado, Boulder, CO, USA
D M Barch Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
H Bartsch Haukeland University Hospital, Bergen, Norway
A Baskin-Sommers Yale University, New Haven, CT, USA
J M Bjork Virginia Commonwealth University, Richmond, VA, USA
D Blachman-Demner NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
M Bloch National Cancer Institute, Bethesda, MD, USA
R Bogdan Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
S Y Bookheimer University of California, Los Angeles, CA, USA
F Breslin Laureate Institute for Brain Research, Tulsa, OK, USA
S Brown University of California, San Diego, La Jolla, CA, USA
F J Calabro University of Pittsburgh, Pittsburgh, PA, USA
V Calhoun University of Colorado, Boulder, CO, USA Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
B J Casey Yale University, New Haven, CT, USA
L Chang University of Maryland School of Medicine, Baltimore, MD, USA
D B Clark University of Pittsburgh, Pittsburgh, PA, USA
C Cloak University of Maryland School of Medicine, Baltimore, MD, USA
R T Constable Yale University, New Haven, CT, USA
K Constable National Institute on Drug Abuse, Bethesda, MD, USA
R Corley University of Colorado, Boulder, CO, USA
L B Cottler University of Florida, Gainesville, FL, USA
S Coxe Florida International University, Miami, FL, USA
R K Dagher National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
A M Dale University of California, San Diego, La Jolla, CA, USA
M Dapretto University of California, Los Angeles, CA, USA
R Delcarmen-Wiggins NIH Office of Research on Women's Health, Bethesda, MD, USA
A S Dick Florida International University, Miami, FL, USA
E K Do Virginia Commonwealth University, Richmond, VA, USA
N U F Dosenbach Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
G J Dowling National Institute on Drug Abuse, Bethesda, MD, USA
S Edwards University of Maryland School of Medicine, Baltimore, MD, USA
T M Ernst University of Maryland School of Medicine, Baltimore, MD, USA
D A Fair Oregon Health & Science University, Portland, OR, USA
C C Fan Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
E Feczko Oregon Health & Science University, Portland, OR, USA
S W Feldstein-Ewing Oregon Health & Science University, Portland, OR, USA
P Florsheim University of Wisconsin, Milwaukee, WI, USA
J J Foxe University of Rochester, Rochester, NY, USA
E G Freedman University of Rochester, Rochester, NY, USA
N P Friedman University of Colorado, Boulder, CO, USA
S Friedman-Hill National Institute of Mental Health, Bethesda, MD, USA
B F Fuemmeler Virginia Commonwealth University, Richmond, VA, USA
A Galvan University of California, Los Angeles, CA, USA
D G Gee Yale University, New Haven, CT, USA
J Giedd University of California, San Diego, La Jolla, CA, USA
M Glantz National Institute on Drug Abuse, Bethesda, MD, USA
P Glaser Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
J Godino University of California, San Diego, La Jolla, CA, USA
M Gonzalez Children's Hospital Los Angeles, Los Angeles, CA, USA
R Gonzalez Florida International University, Miami, FL, USA
S Grant National Institute on Drug Abuse, Bethesda, MD, USA
K M Gray Medical University of South Carolina, Charleston, SC, USA
F Haist University of California, San Diego, La Jolla, CA, USA
M P Harms Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
S Hawes Florida International University, Miami, FL, USA
A C Heath University of California, San Diego, La Jolla, CA, USA
S Heeringa University of Michigan, Ann Arbor, MI, USA
M M Heitzeg University of Michigan, Ann Arbor, MI, USA
R Hermosillo Oregon Health & Science University, Portland, OR, USA
M M Herting University of Southern California, Los Angeles, CA, USA
J M Hettema Virginia Commonwealth University, Richmond, VA, USA
J K Hewitt University of Colorado, Boulder, CO, USA
C Heyser University of California, San Diego, La Jolla, CA, USA
E Hoffman National Institute on Drug Abuse, Bethesda, MD, USA
K Howlett National Institute on Drug Abuse, Bethesda, MD, USA
R S Huber University of Utah, Salt Lake City, UT, USA
M A Huestis Thomas Jefferson University, Philadelphia, PA, USA
L W Hyde University of Michigan, Ann Arbor, MI, USA
W G Iacono University of Minnesota, Minneapolis, MN, USA
M A Infante University of California, San Diego, La Jolla, CA, USA
O Irfanoglu National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
A Isaiah University of Maryland School of Medicine, Baltimore, MD, USA
S Iyengar National Endowment for the Arts, Washington DC, USA
J Jacobus University of California, San Diego, La Jolla, CA, USA
R James Virginia Commonwealth University, Richmond, VA, USA
B Jean-Francois National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
T Jernigan University of California, San Diego, La Jolla, CA, USA
N R Karcher Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
A Kaufman National Cancer Institute, Bethesda, MD, USA
B Kelley National Institute of Justice, Washington DC, USA
B Kit National Heart, Lung, and Blood Institute, Bethesda, MD, USA
A Ksinan Virginia Commonwealth University, Richmond, VA, USA
J Kuperman University of California, San Diego, La Jolla, CA, USA
A R Laird Florida International University, Miami, FL, USA
C Larson University of Wisconsin, Milwaukee, WI, USA
K LeBlanc National Institute on Drug Abuse, Bethesda, MD, USA
C Lessov-Schlagger Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
N Lever University of Maryland School of Medicine, Baltimore, MD, USA
D A Lewis University of Pittsburgh, Pittsburgh, PA, USA
K Lisdahl University of Wisconsin, Milwaukee, WI, USA
A R Little National Institute on Drug Abuse, Bethesda, MD, USA
M Lopez National Institute on Drug Abuse, Bethesda, MD, USA
M Luciana University of Minnesota, Minneapolis, MN, USA
B Luna University of Pittsburgh, Pittsburgh, PA, USA
P A Madden Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
H H Maes Virginia Commonwealth University, Richmond, VA, USA
C Makowski University of California, San Diego, La Jolla, CA, USA
A T Marshall Children's Hospital Los Angeles, Los Angeles, CA, USA
M J Mason University of Tennessee, Knoxville, TN, USA
J Matochik National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
B D McCandliss Stanford University, Stanford, CA, USA
E McGlade University of Utah, Salt Lake City, UT, USA
I Montoya National Institute on Drug Abuse, Bethesda, MD, USA
G Morgan National Cancer Institute, Bethesda, MD, USA
A Morris Oklahoma State University, Stillwater, OK, USA
C Mulford National Institute on Drug Abuse, Bethesda, MD, USA
P Murray National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
B J Nagel Oregon Health & Science University, Portland, OR, USA
M C Neale Virginia Commonwealth University, Richmond, VA, USA
G Neigh Virginia Commonwealth University, Richmond, VA, USA
A Nencka Medical College of Wisconsin, Milwaukee, WI, USA
A Noronha National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
S J Nixon University of Florida, Gainesville, FL, USA
C E Palmer University of California, San Diego, La Jolla, CA, USA
V Pariyadath National Institute on Drug Abuse, Bethesda, MD, USA
M P Paulus Laureate Institute for Brain Research, Tulsa, OK, USA
W E Pelham Florida International University, Miami, FL, USA
D Pfefferbaum SRI International, Menlo Park, CA, USA
C Pierpaoli Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
A Prescot University of Utah, Salt Lake City, UT, USA
D Prouty SRI International, Menlo Park, CA, USA
L I Puttler University of Michigan, Ann Arbor, MI, USA
N Rajapaske National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
K M Rapuano Yale University, New Haven, CT, USA
G Reeves University of Maryland School of Medicine, Baltimore, MD, USA
P F Renshaw University of Utah, Salt Lake City, UT, USA
M C Riedel Florida International University, Miami, FL, USA
P Rojas Florida International University, Miami, FL, USA
M de la Rosa Florida International University, Miami, FL, USA
M D Rosenberg University of Chicago, Chicago, IL, USA
M J Ross University of Colorado Anschutz Medical Campus, Aurora, CO, USA
M Sanchez Florida International University, Miami, FL, USA
C Schirda University of Pittsburgh, Pittsburgh, PA, USA
D Schloesser NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
J Schulenberg University of Michigan, Ann Arbor, MI, USA
K J Sher University of Missouri, Columbia, MO, USA
C Sheth University of Utah, Salt Lake City, UT, USA
P D Shilling University of California, San Diego, La Jolla, CA, USA
W K Simmons Laureate Institute for Brain Research, Tulsa, OK, USA
E R Sowell Children's Hospital Los Angeles, Los Angeles, CA, USA
N Speer University of Colorado, Boulder, CO, USA
M Spittel NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
L M Squeglia Medical University of South Carolina, Charleston, SC, USA
C Sripada University of Michigan, Ann Arbor, MI, USA
J Steinberg Virginia Commonwealth University, Richmond, VA, USA
C Striley University of Florida, Gainesville, FL, USA
M T Sutherland Florida International University, Miami, FL, USA
J Tanabe University of Colorado, Boulder, CO, USA
S F Tapert University of California, San Diego, La Jolla, CA, USA
W Thompson University of California, San Diego, La Jolla, CA, USA
R L Tomko Medical University of South Carolina, Charleston, SC, USA
K A Uban University of California, Irvine, CA, USA
S Vrieze University of Minnesota, Minneapolis, MN, USA
N E Wade University of California, San Diego, La Jolla, CA, USA
R Watts Yale University, New Haven, CT, USA
S Weiss National Institute on Drug Abuse, Bethesda, MD, USA
B A Wiens University of Florida, Gainesville, FL, USA
O D Williams Florida International University, Miami, FL, USA
A Wilbur SRI International, Menlo Park, CA, USA
D Wing University of California, San Diego, La Jolla, CA, USA
D Wolff-Hughes NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
R Yang University of California, San Diego, La Jolla, CA, USA
D A Yurgelun-Todd University of Utah, Salt Lake City, UT, USA
R A Zucker University of Michigan, Ann Arbor, MI, USA
A Potter Department of Psychiatry, University of Vermont, Burlington, VT, USA
H P Garavan Department of Psychiatry, University of Vermont, Burlington, VT, USA.

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Kim SJ, Fuemmeler BF. Detecting Effective Tobacco Control Messages via Linguistic Analysis and Item Response Theory. Cancer Epidemiol Biomarkers Prev 2019. [DOI: 10.1158/1055-9965.epi-19-0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open

Abstract Abstract Current health communication research on tobacco control often examines the persuasion effects of messages in an experimental setting, which produces small effect sizes and limits the external validity of how well the tested messages will perform in real word settings. In the new media landscape, (anti)smoking and (anti)vaping messages are posted, shared, and disseminated across media platforms by a broader set of users. Tracking the persuasion effects of each message can be challenging with the experimental approaches. Novel analytic methods are needed to evaluate the effective strategies for tobacco control communication. We apply linguistic analysis and item-response theory to antismoking/antivaping messages to detect their persuasion effects on cognitive and emotional outcomes at an individual message level. Methods: We recruited respondents from social media and crowdsourcing platforms (n = 6,566). The eligible current smokers were randomly assigned to one of the 80 antismoking and antivaping messages, or 16 food advertisements (the control group). We measured attitudes toward vaping/smoking, emotional arousal, and intention to quit smoking or vape. We mined text data from each stimulus message to examine their linguistic characteristics and its links to the persuasion outcomes. Results: Majority of participants were White (86%) and female (55%). Antismoking messages were more likely to reveal anxiety (P = 0.01) and dangers or concerns (P < 0.01), compared to the control messages; and express high expertise and confidence compared to antivaping messages (P = 0.04). We report linguistic properties of each message and their relationship to antismoking attitudes, emotional arousal, intention to quit cigarettes, and intention to vape. Visualized patterns of message effectiveness demonstrate text/image-based antivaping messages, compared to video-based antivaping messages, unintentionally increased participants' favorable attitudes toward e-cigarettes. Conclusions: These message-level analyses can help identify best candidate messages that generate positive persuasion outcomes, which, in turn, can inform the selection of messages for health education and campaigns. Collapse

Do EK, Zucker NL, Huang ZY, Schechter JC, Kollins SH, Maguire RL, Murphy SK, Hoyo C, Fuemmeler BF. Associations between imprinted gene differentially methylated regions, appetitive traits and body mass index in children. Pediatr Obes 2019;14:e12454. [PMID: 30231188 PMCID: PMC6437681 DOI: 10.1111/ijpo.12454] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 06/15/2018] [Indexed: 12/23/2022]

Sanchez CE, Barry C, Sabhlok A, Russell K, Majors A, Kollins SH, Fuemmeler BF. Maternal pre-pregnancy obesity and child neurodevelopmental outcomes: a meta-analysis. Obes Rev 2018;19:464-484. [PMID: 29164765 PMCID: PMC6059608 DOI: 10.1111/obr.12643] [Citation(s) in RCA: 148] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 09/18/2017] [Accepted: 10/12/2017] [Indexed: 12/29/2022]

Soubry A, Murphy SK, Wang F, Huang Z, Vidal AC, Fuemmeler BF, Kurtzberg J, Murtha A, Jirtle RL, Schildkraut JM, Hoyo C. Newborns of obese parents have altered DNA methylation patterns at imprinted genes. Int J Obes (Lond) 2013;39:650-7. [PMID: 24158121 PMCID: PMC4048324 DOI: 10.1038/ijo.2013.193] [Citation(s) in RCA: 212] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Revised: 09/25/2013] [Accepted: 10/06/2013] [Indexed: 12/14/2022]

Abstract

Background:

Several epidemiologic studies have demonstrated associations between periconceptional environmental exposures and health status of the offspring in later life. Although these environmentally related effects have been attributed to epigenetic changes, such as DNA methylation shifts at imprinted genes, little is known about the potential effects of maternal and paternal preconceptional overnutrition or obesity.

Objective:

We examined parental preconceptional obesity in relation to DNA methylation profiles at multiple human imprinted genes important in normal growth and development, such as: maternally expressed gene 3 (MEG3), mesoderm-specific transcript (MEST), paternally expressed gene 3 (PEG3), pleiomorphic adenoma gene-like 1 (PLAGL1), epsilon sarcoglycan and paternally expressed gene 10 (SGCE/PEG10) and neuronatin (NNAT).

Methods:

We measured methylation percentages at the differentially methylated regions (DMRs) by bisulfite pyrosequencing in DNA extracted from umbilical cord blood leukocytes of 92 newborns. Preconceptional obesity, defined as BMI ⩾30 kg m⁻², was ascertained through standardized questionnaires.

Results:

After adjusting for potential confounders and cluster effects, paternal obesity was significantly associated with lower methylation levels at the MEST (β=−2.57; s.e.=0.95; P=0.008), PEG3 (β=−1.71; s.e.=0.61; P=0.005) and NNAT (β=−3.59; s.e.=1.76; P=0.04) DMRs. Changes related to maternal obesity detected at other loci were as follows: β-coefficient was +2.58 (s.e.=1.00; P=0.01) at the PLAGL1 DMR and −3.42 (s.e.=1.69; P=0.04) at the MEG3 DMR.

Conclusion:

We found altered methylation outcomes at multiple imprint regulatory regions in children born to obese parents, compared with children born to non-obese parents. In spite of the small sample size, our data suggest a preconceptional influence of parental life-style or overnutrition on the (re)programming of imprint marks during gametogenesis and early development. More specifically, the significant and independent association between paternal obesity and the offspring's methylation status suggests the susceptibility of the developing sperm for environmental insults. The acquired imprint instability may be carried onto the next generation and increase the risk for chronic diseases in adulthood.

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Fuemmeler BF, Østbye T, Yang C, McClernon FJ, Kollins SH. Association between attention-deficit/hyperactivity disorder symptoms and obesity and hypertension in early adulthood: a population-based study. Int J Obes (Lond) 2010;35:852-62. [PMID: 20975727 PMCID: PMC3391591 DOI: 10.1038/ijo.2010.214] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]

Abstract

Objective

To examine associations between attention-deficit/hyperactivity disorder (ADHD) symptoms, obesity and hypertension in young adults in a large population-based cohort.

Design, Setting, and Participants

The study population consisted of 15,197 respondents from the National Longitudinal Study of Adolescent Health, a nationally representative sample of adolescents followed from 1995 – 2009 in the United States. Multinomial logistic and logistic models examined the odds of overweight, obesity, and hypertension in adulthood in relation to retrospectively reported ADHD symptoms. Latent curve modeling was used to assess the association between symptoms and naturally occurring changes in body mass index (BMI) from adolescence to adulthood.

Results

Linear association was identified between the number of inattentive (IN) and hyperactive/impulsive (HI) symptoms and waist-circumference, BMI, diastolic blood pressure, and systolic blood pressure (all ps for trend < .05). Controlling for demographic variables, physical activity, alcohol use, smoking, and depressive symptoms, those with 3 or more HI or IN symptoms had the highest odds of obesity (HI 3+ OR, 1.50; 95% CI, 1.22-2.83; IN 3+ OR, 1.21; 95% CI, 1.02-1.44) compared to those with no HI or IN symptoms. HI symptoms at the 3+ level were significantly associated with a higher OR of hypertension (HI 3+ OR, 1.24; 95% CI 1.01-1.51; HI continuous OR, 1.04; 95% CI 1.00-1.09), but associations were non-significant when models were adjusted for BMI. Latent growth modeling results indicated that compared to those reporting no HI or IN symptoms, those reporting more 3 or symptoms had higher initial levels of BMI during adolescence. Only HI symptoms were associated with change in BMI.

Conclusion

Self-reported ADHD symptoms were associated with adult BMI and change in BMI from adolescence to adulthood, providing further evidence of a link between ADHD symptoms and obesity.

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