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Nagata JM, Weinstein S, Alsamman S, Lee CM, Dooley EE, Ganson KT, Testa A, Gooding HC, Kiss O, Baker FC, Pettee Gabriel K. Association of physical activity and screen time with cardiovascular disease risk in the Adolescent Brain Cognitive Development Study. BMC Public Health 2024; 24:1346. [PMID: 38762449 PMCID: PMC11102349 DOI: 10.1186/s12889-024-18790-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 05/08/2024] [Indexed: 05/20/2024] Open
Abstract
BACKGROUND According to the Physical Activity Guidelines Advisory Committee Scientific Report, limited evidence is available on sedentary behaviors (screen time) and their joint associations with physical activity (steps) for cardiovascular health in adolescence. The objective of this study was to identify joint associations of screen time and physical activity categories with cardiovascular disease (CVD) risk factors (blood pressure, hemoglobin A1c, cholesterol) in adolescence. METHODS This study analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study, comprising a diverse sample of 4,718 U.S. adolescents aged 10-15 years between 2018 and 2021. Steps were measured by a Fitbit wearable device and levels were categorized as low (1,000-6,000), medium (> 6,000-12,000), and high (> 12,000) averaged daily step counts. Self-reported recreational screen time hours per day were classified as low (0-4), medium (> 4-8), and high (> 8) hours per day. CVD risk factors including blood pressure, hemoglobin A1c, and cholesterol (total and HDL) were measured. RESULTS The analytical sample averaged 6.6 h of screen time per day and 9,722 steps per day. In models including both screen time and steps, the high screen time category was associated with a 4.27 higher diastolic blood pressure percentile (95% CI 1.83-6.73) and lower HDL cholesterol (B= -2.85, 95% CI -4.77 to -0.94 mg/dL) compared to the low screen time category. Medium (B = 3.68, 95% CI 1.24-6.11) and low (B = 7.64, 95% CI 4.07-11.20) step categories were associated with higher diastolic blood pressure percentile compared to the high step category. The medium step category was associated with lower HDL cholesterol (B= -1.99, 95% CI -3.80 to -0.19 mg/dL) compared to the high step category. Findings were similar when screen time and step counts were analyzed as continuous variables; higher continuous step count was additionally associated with lower total cholesterol (mg/dL). CONCLUSIONS Combinations of low screen time and high steps were generally associated with favorable cardiovascular health markers including lower diastolic blood pressure and higher HDL cholesterol, which can inform future adolescent health guidelines.
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Affiliation(s)
- Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA, 94143, USA.
| | - Shayna Weinstein
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA, 94143, USA
| | - Sana Alsamman
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA, 94143, USA
| | - Christopher M Lee
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA, 94143, USA
| | - Erin E Dooley
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Boulevard. Birmingham, Alabama, 35233, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, 246 Bloor St W, Toronto, ON, M5S 1V4, Canada
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX, 77030, USA
| | - Holly C Gooding
- Division of General Pediatrics and Adolescent Medicine, Department of Pediatrics, Emory University School of Medicine, Children's Healthcare of Atlanta, 2015 Uppergate Drive, Atlanta, GA, 30322, USA
| | - Orsolya Kiss
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA, 94025, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA, 94025, USA
- School of Physiology, University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg, 2000, South Africa
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Boulevard. Birmingham, Alabama, 35233, USA
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Nagata JM, Balasubramanian P, Iyra P, Ganson KT, Testa A, He J, Glidden DV, Baker FC. Screen use in transgender and gender-questioning adolescents: Findings from the Adolescent Brain Cognitive Development (ABCD) Study. Ann Epidemiol 2024; 95:6-11. [PMID: 38719179 DOI: 10.1016/j.annepidem.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/25/2024] [Accepted: 04/30/2024] [Indexed: 05/19/2024]
Abstract
OBJECTIVE To assess the association between transgender or gender-questioning identity and screen use (recreational screen time and problematic screen use) in a demographically diverse national sample of early adolescents in the U.S. METHODS We analyzed cross-sectional data from Year 3 of the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®, N = 9859, 2019-2021, mostly 12-13-years-old). Multiple linear regression analyses estimated the associations between transgender or questioning gender identity and screen time, as well as problematic use of video games, social media, and mobile phones, adjusting for confounders. RESULTS In a sample of 9859 adolescents (48.8% female, 47.6% racial/ethnic minority, 1.0% transgender, 1.1% gender-questioning), transgender adolescents reported 4.51 (95% CI 1.17-7.85) more hours of total daily recreational screen time including more time on television/movies, video games, texting, social media, and the internet, compared to cisgender adolescents. Gender-questioning adolescents reported 3.41 (95% CI 1.16-5.67) more hours of total daily recreational screen time compared to cisgender adolescents. Transgender identification and questioning one's gender identity was associated with higher problematic social media, video game, and mobile phone use, compared to cisgender identification. CONCLUSIONS Transgender and gender-questioning adolescents spend a disproportionate amount of time engaging in screen-based activities and have more problematic use across social media, video game, and mobile phone platforms.
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Affiliation(s)
- Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
| | - Priyadharshini Balasubramanian
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Puja Iyra
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, TX, USA
| | - Jinbo He
- School of Humanities and Social Science, The Chinese University of Hong Kong, 2001 Longxiang Boulevard, Longgang District, Shenzhen 518172, China
| | - David V Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, 333 Ravenswood Ave, Menlo Park, CA 94025, USA; School of Physiology, University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg 2017, South Africa
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Lewis-de Los Angeles WW. Adverse Childhood Experiences and Accelerometer-Measured Physical Activity and Sleep in Preadolescents. Acad Pediatr 2024; 24:654-661. [PMID: 37748537 DOI: 10.1016/j.acap.2023.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/17/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVE To assess the relationship between adverse childhood experiences (ACEs) and objective measures of physical activity and sleep. METHODS Data from the baseline and 2-year follow-up of the Adolescent Brain and Cognitive Development study were analyzed (n = 6227 for physical activity; n = 4151 for sleep). ACEs were assessed by parent report at baseline (mean age 9.9 years) with 3 levels: none, exposure to 1 ACE, and exposure to 2 or more ACEs. Objective measures of physical activity and sleep were assessed with an accelerometer at 2-year follow-up (mean age 11.9 years). Multivariate linear regression analyses were used to examine the relationship between ACEs and physical activity as well as sleep, adjusting for family income and sex. RESULTS Compared to children with no ACEs, children with ACEs had fewer daily steps: 1 ACE (β = -323 (95% CI: -508 to -138), P < .001) and 2 or more ACEs (β = -417 (95% CI: -624 to -209), P < .001). ACEs were also associated with shorter sleep duration (minutes), although only for participants with 2 or more ACEs (1 ACE: β = -2.2 (-5.3 to 0.8), P = .16; 2 or more ACEs: β = -6.2 (95% CI: -9.6 to -2.7), P < .001). Rapid eye movement (REM) sleep specifically was reduced in participants with ACEs (1 ACE (β = -1.4 (-2.7 to -0.01), P = .05) and 2 or more ACEs (β = -2.3 (-3.8 to -0.8), P = .003). CONCLUSIONS There is a dose-response relationship between ACEs and reduced daily steps, total sleep duration, and REM sleep in preadolescents.
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Affiliation(s)
- William W Lewis-de Los Angeles
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI; Department of Pediatrics, Emma Pendleton Bradley Hospital, Riverside, RI.
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Al-Shoaibi AAA, Iyra P, Raney JH, Ganson KT, Dooley EE, Testa A, Jackson DB, Gabriel KP, Baker FC, Nagata JM. Associations Between Adverse Childhood Experiences and Early Adolescent Physical Activity in the United States. Acad Pediatr 2024; 24:662-668. [PMID: 37898383 PMCID: PMC11045661 DOI: 10.1016/j.acap.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/15/2023] [Accepted: 10/19/2023] [Indexed: 10/30/2023]
Abstract
OBJECTIVE 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. METHODS 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. RESULTS 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. CONCLUSIONS 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.
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Affiliation(s)
- Abubakr A A Al-Shoaibi
- 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
| | - Puja Iyra
- 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
| | - Julia H Raney
- 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
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work (KT Ganson), University of Toronto, Toronto, Ontario, Canada
| | - Erin E Dooley
- Department of Epidemiology (EE Dooley and KP Gabriel), University of Alabama at Birmingham
| | - Alexander Testa
- Department of Management (A Testa), Policy and Community Health, University of Texas Health Science Center at Houston
| | - Dylan B Jackson
- Department of Population (DB Jackson), Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md
| | - Kelley P Gabriel
- Department of Epidemiology (EE Dooley and KP Gabriel), University of Alabama at Birmingham
| | - Fiona C Baker
- Center for Health Sciences (FC Baker), SRI International, Menlo Park, Calif; School of Physiology (FC Baker), University of the Witwatersrand, Johannesburg, South Africa
| | - Jason M Nagata
- 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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Al-Shoaibi AAA, Shao IY, Ganson KT, Lavender JM, Testa A, Kiss O, He J, Glidden DV, Baker FC, Nagata JM. Prospective association of screen time with binge-eating disorder among adolescents in the United States: The mediating role of depression. Int J Eat Disord 2024; 57:1192-1201. [PMID: 38358046 DOI: 10.1002/eat.24169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 01/13/2024] [Accepted: 02/01/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVE Screen time has been reported to be associated with binge-eating disorder (BED) among adolescents in the US; however, potential mediators remain unclear. This study aimed to evaluate depression symptoms as a mediator of the prospective association between screen time and BED. METHOD We utilized data from 9465 children (aged 9-11 years at baseline) from the Adolescent Brain Cognitive Development (ABCD) study (2016-2021). A generalized structural equation model was used to examine the prospective association between average daily screen time at baseline and BED at year 2, adjusting for baseline BED diagnosis, and other potential covariates (e.g., age, sex, and income). Mediation was examined using bias-corrected (BC) 95% confidence intervals for the indirect effect of baseline screen time on year 2 BED through depression symptoms (change from baseline to year 1). RESULTS One hundred and one participants (42.7% male, 49.4% racial/ethnic minority) met the criteria for BED in year 2. Participants were 9.9 years of age on average at baseline, 51.3% identified as male, and 43.1% identified as a racial/ethnic minority. Adjusting for covariates, screen time was prospectively associated with BED (OR = 1.09, 95% CI [1.03, 1.14], p = .005). Depression symptoms (B = .19, BC 95% CI [0.10, 0.28]) partially mediated (9.2%) the prospective association between screen time and BED. DISCUSSION Among US adolescents, higher baseline screen time was prospectively associated with BED diagnosis at year 2, and this relationship was partially mediated by increased depression symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents. PUBLIC SIGNIFICANCE Among U.S. adolescents, higher screen time was prospectively associated with the incidence of BED. This association was partially mediated by the change in depressive symptoms. Preventive approaches targeting high screen use may have utility for reducing BED risk among adolescents.
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Affiliation(s)
- Abubakr A A Al-Shoaibi
- Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Iris Yuefan Shao
- Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Jason M Lavender
- Military Cardiovascular Outcomes Research Program (MiCOR), Department of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
- The Metis Foundation, San Antonio, Texas, USA
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Orsolya Kiss
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Jinbo He
- School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, China
| | - David V Glidden
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA
- School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
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McElwain NL, Fisher MC, Nebeker C, Bodway JM, Islam B, Hasegawa-Johnson M. Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach. JMIR Hum Factors 2024; 11:e49316. [PMID: 38329785 PMCID: PMC10884896 DOI: 10.2196/49316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/26/2023] [Accepted: 09/29/2023] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Wearable devices permit the continuous, unobtrusive collection of data from children in their natural environments and can transform our understanding of child development. Although the use of wearable devices has begun to emerge in research involving children, few studies have considered families' experiences and perspectives of participating in research of this kind. OBJECTIVE Through a mixed methods approach, we assessed parents' and children's experiences of using a new wearable device in the home environment. The wearable device was designed specifically for use with infants and young children, and it integrates audio, electrocardiogram, and motion sensors. METHODS In study 1, semistructured phone interviews were conducted with 42 parents of children aged 1 month to 9.5 years who completed 2 day-long recordings using the device, which the children wore on a specially designed shirt. In study 2, a total of 110 parents of children aged 2 months to 5.5 years responded to a questionnaire assessing their experience of completing 3 day-long device recordings in the home. Guided by the Digital Health Checklist, we assessed parental responses from both studies in relation to the following three key domains: (1) access and usability, (2) privacy, and (3) risks and benefits. RESULTS In study 1, most parents viewed the device as easy to use and safe and remote visits as convenient. Parents' views on privacy related to the audio recordings were more varied. The use of machine learning algorithms (vs human annotators) in the analysis of the audio data, the ability to stop recordings at any time, and the view that the recordings reflected ordinary family life were some reasons cited by parents who expressed minimal, if any, privacy concerns. Varied risks and benefits were also reported, including perceived child comfort or discomfort, the need to adjust routines to accommodate the study, the understanding gained from the study procedures, and the parent's and child's enjoyment of study participation. In study 2, parents' ratings on 5 close-ended items yielded a similar pattern of findings. Compared with a "neutral" rating, parents were significantly more likely to agree that (1) device instructions were helpful and clear (t109=-45.98; P<.001), (2) they felt comfortable putting the device on their child (t109=-22.22; P<.001), and (3) they felt their child was safe while wearing the device (t109=-34.48; P<.001). They were also less likely to worry about the audio recordings gathered by the device (t108=6.14; P<.001), whereas parents' rating of the burden of the study procedures did not differ significantly from a "neutral" rating (t109=-0.16; P=.87). CONCLUSIONS On the basis of parents' feedback, several concrete changes can be implemented to improve this new wearable platform and, ultimately, parents' and children's experiences of using child wearable devices in the home setting.
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Affiliation(s)
- Nancy L McElwain
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL, United States
- Beckman Institute for Advanced Science & Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Meghan C Fisher
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Camille Nebeker
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States
| | - Jordan M Bodway
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Bashima Islam
- Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, United States
| | - Mark Hasegawa-Johnson
- Beckman Institute for Advanced Science & Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States
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Damme KSF, Vargas TG, Walther S, Shankman SA, Mittal VA. Physical and mental health in adolescence: novel insights from a transdiagnostic examination of FitBit data in the ABCD study. Transl Psychiatry 2024; 14:75. [PMID: 38307840 PMCID: PMC10837202 DOI: 10.1038/s41398-024-02794-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/04/2024] Open
Abstract
Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10-13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of psychosis-like experiences (PLE), internalizing symptoms, and externalizing symptoms. Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t = -2.69) and internalizing (t = -6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.
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Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA.
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA.
| | - Teresa G Vargas
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Translational Research Center, Bern, Switzerland
| | | | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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Clanchy K, Stanfield M, Smits E, Liimatainen J, Ritchie C. Calibration and validation of physical behaviour cut-points using wrist-worn ActiGraphs for children and adolescents: A systematic review. J Sci Med Sport 2024; 27:92-104. [PMID: 38087661 DOI: 10.1016/j.jsams.2023.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 11/02/2023] [Accepted: 11/14/2023] [Indexed: 02/07/2024]
Abstract
OBJECTIVES To review cut-points calibrated and independently validated from wrist-worn ActiGraph accelerometers to measure moderate to vigorous physical activity (MVPA) and time spent sedentary (SED) in children and adolescents. DESIGN Systematic literature review. METHODS Five databases were searched for relevant cut-point calibration and independent validation studies relating to wrist worn ActiGraphs in children and adolescents from inception through 30 April 2022. Extracted data included: country of publication; study name; population; device model; wear location; sampling frequency; epoch length; activity protocol; criterion method and definitions used to classify PA intensity; statistical methods for calibration; statistical methods for validation/cross-validation; and MVPA and SED outcome. RESULTS Fourteen calibration studies and seven independent validation studies were identified. Calibrated cut-points for MVPA vector magnitude counts ranged from 7065 to 9204 counts per minute (cpm) and 63.5 to 201 milli-gravitational units (mg). For SED, calibrated cut-points ranged from <2556 cpm to 4350 cpm and 30.8 to 48.1 mg. Classification accuracy values determined by independent validation studies varied, with kappa values ranging from 0.31 to 0.60 and area under the curve statistics ranging from 0.51 to 0.84 for MVPA and kappa values ranging from 0.31 to 0.44 and area under the curve statistics ranging from 0.70 to 0.85 for SED. CONCLUSIONS The results of this systematic literature review support the use of the Crouter and colleagues cut-points for the measurement of MVPA and SED for children and adolescents aged 6-12 years. Further work is required to independently validate cut-points developed in younger children and older adolescents.
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Affiliation(s)
- Kelly Clanchy
- School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Australia; Menzies Health Institute of Queensland, Griffith University, Gold Coast Campus, Australia.
| | - Matthew Stanfield
- School of Human Movement and Nutrition Sciences, University of Queensland, Australia
| | - Esther Smits
- RECOVER Injury Research Centre and National Health and Medical Research Council (NHMRC) Centre for Research Excellence: Better Health Outcomes After Compensable Injury, University of Queensland, Australia
| | - Jenna Liimatainen
- RECOVER Injury Research Centre and National Health and Medical Research Council (NHMRC) Centre for Research Excellence: Better Health Outcomes After Compensable Injury, University of Queensland, Australia
| | - Carrie Ritchie
- RECOVER Injury Research Centre and National Health and Medical Research Council (NHMRC) Centre for Research Excellence: Better Health Outcomes After Compensable Injury, University of Queensland, Australia
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Islam B, McElwain NL, Li J, Davila MI, Hu Y, Hu K, Bodway JM, Dhekne A, Roy Choudhury R, Hasegawa-Johnson M. Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations. Sensors (Basel) 2024; 24:901. [PMID: 38339617 PMCID: PMC10857055 DOI: 10.3390/s24030901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 01/19/2024] [Accepted: 01/19/2024] [Indexed: 02/12/2024]
Abstract
Across five studies, we present the preliminary technical validation of an infant-wearable platform, LittleBeats™, that integrates electrocardiogram (ECG), inertial measurement unit (IMU), and audio sensors. Each sensor modality is validated against data from gold-standard equipment using established algorithms and laboratory tasks. Interbeat interval (IBI) data obtained from the LittleBeats™ ECG sensor indicate acceptable mean absolute percent error rates for both adults (Study 1, N = 16) and infants (Study 2, N = 5) across low- and high-challenge sessions and expected patterns of change in respiratory sinus arrythmia (RSA). For automated activity recognition (upright vs. walk vs. glide vs. squat) using accelerometer data from the LittleBeats™ IMU (Study 3, N = 12 adults), performance was good to excellent, with smartphone (industry standard) data outperforming LittleBeats™ by less than 4 percentage points. Speech emotion recognition (Study 4, N = 8 adults) applied to LittleBeats™ versus smartphone audio data indicated a comparable performance, with no significant difference in error rates. On an automatic speech recognition task (Study 5, N = 12 adults), the best performing algorithm yielded relatively low word error rates, although LittleBeats™ (4.16%) versus smartphone (2.73%) error rates were somewhat higher. Together, these validation studies indicate that LittleBeats™ sensors yield a data quality that is largely comparable to those obtained from gold-standard devices and established protocols used in prior research.
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Affiliation(s)
- Bashima Islam
- Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA
| | - Nancy L. McElwain
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (Y.H.); (K.H.); (J.M.B.)
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Jialu Li
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (J.L.); (R.R.C.)
| | - Maria I. Davila
- Research Triangle Institute, Research Triangle Park, NC 27709, USA;
| | - Yannan Hu
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (Y.H.); (K.H.); (J.M.B.)
| | - Kexin Hu
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (Y.H.); (K.H.); (J.M.B.)
| | - Jordan M. Bodway
- Department of Human Development and Family Studies, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (Y.H.); (K.H.); (J.M.B.)
| | - Ashutosh Dhekne
- School of Computer Science, Georgia Institute of Technology, Atlanta, GA 30332, USA;
| | - Romit Roy Choudhury
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (J.L.); (R.R.C.)
| | - Mark Hasegawa-Johnson
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA; (J.L.); (R.R.C.)
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Roberts W, McKee S, Miranda R, Barnett N. Navigating ethical challenges in psychological research involving digital remote technologies and people who use alcohol or drugs. Am Psychol 2024; 79:24-38. [PMID: 38236213 PMCID: PMC10798215 DOI: 10.1037/amp0001193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Digital and remote technologies (DRT) are increasingly being used in scientific investigations to objectively measure human behavior during day-to-day activities. Using these devices, psychologists and other behavioral scientists can investigate health risk behaviors, such as drug and alcohol use, by closely examining the causes and consequences of monitored behaviors as they occur naturalistically. There are, however, complex ethical issues that emerge when using DRT methodologies in research with people who use substances. These issues must be identified and addressed so DRT devices can be incorporated into psychological research with this population in a manner that comports the ethical standards of the American Psychological Association. In this article, we discuss the ethical ramifications of using DRT in behavioral studies with people who use substances. Drawing on allied fields with similar ethical issues, we make recommendations to researchers who wish to incorporate DRT into their own research. Major topics include (a) threats to and methods for protecting participant and nonparticipant privacy, (b) shortcomings of traditional informed consent in DRT research, (c) researcher liabilities introduced by real-time continuous data collection, (d) threats to distributive justice arising from computational tools often used to manage and analyze DRT data, and (e) ethical implications of the "digital divide." We conclude with a more optimistic discussion of how DRT may provide safer alternatives to gold standard paradigms in substance use research, allowing researchers to test hypotheses that were previously prohibited on ethical grounds. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Walter Roberts
- Department of Psychiatry, Yale University School of Medicine
| | - Sherry McKee
- Department of Psychiatry, Yale University School of Medicine
| | - Robert Miranda
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
- Department of Behavioral and Social Sciences, Center for Alcohol and Addiction Studies, Brown University School of Public Health
| | - Nancy Barnett
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
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11
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Mewton L, Davies S, Sunderland M, Champion K, Hoy N, Newton N, Teesson M, Squeglia LM. Longitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence. Health Psychol 2023; 42:904-912. [PMID: 37616102 PMCID: PMC10840638 DOI: 10.1037/hea0001248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
OBJECTIVE The goal of this study is to investigate the cross-sectional and longitudinal relationships between clustered lifestyle risk factors (sleep, physical activity, body mass index [BMI], and screen time) and neurodevelopment over the early adolescent period. METHOD Data from the ABCD Study Data Release 3.0 consisted of 11,878 participants (aged 9-10 years) at baseline and 6,571 participants (aged 11-12 years) at 2-year follow-up. The interrelationships between lifestyle risk factors and brain structure were analyzed using bivariate multiple indicator latent change score models. Using confirmatory factor analysis, a single lifestyle risk factor domain (measured by sleep, physical activity, BMI, and screen time) was shown to fit the data well. Using exploratory and confirmatory factor analysis, seven brain structure domains were extracted and labeled as temporal-parietal, frontotemporal, occipital, orbitofrontal, temporal, cingulate, parietal, and cuneus domains. All bivariate latent change score models accounted for age, sex at birth, race/ethnicity, parental education, and marital status. RESULTS Higher lifestyle risk was associated with smaller brain volume at baseline. Higher baseline lifestyle risk was also associated with a greater rate of change (i.e., greater decreases) in brain volume for the temporal-parietal, frontotemporal, orbitofrontal, parietal, and cuneus domains. Effects were not reciprocal; baseline brain volume did not predict changes in lifestyle behaviors over time. CONCLUSION These findings are important for understanding the biological mechanisms underpinning health risk factors and can be used to target interventions and improve brain health during this critical developmental phase. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Louise Mewton
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Sarah Davies
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Matthew Sunderland
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Katrina Champion
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Nicholas Hoy
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Nicola Newton
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Maree Teesson
- The Matilda Centre for Mental Health and Substance Use, University of Sydney, Sydney, Australia
| | - Lindsay M. Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
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12
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Shao IY, Yang J, Ganson KT, Baker FC, Nagata JM. Identification and characterization of screen use trajectories from late childhood to adolescence in a US-population based cohort study. Prev Med Rep 2023; 36:102428. [PMID: 37766729 PMCID: PMC10520867 DOI: 10.1016/j.pmedr.2023.102428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023] Open
Abstract
Screen use is a known risk factor for adverse physical and mental health outcomes during childhood and adolescence. Moreover, racial/ethnic disparity in screen use persists among adolescents. However, limited studies have characterized the population sharing similar longitudinal patterns of screen use from childhood to adolescence. This study will identify and characterize the subgroups of adolescents sharing similar trajectories of screen use from childhood to adolescence. Study participants of the Adolescent Brain Cognitive Development Study (2016-2021) in the U.S with non-missing responses on self-reported screen use at each year of the study were included in the analysis. Growth mixture modeling was used to identify the optimal number of subgroups of adolescents with similar trajectories. Subsequently, socio-demographic characteristics, familial background, and perceived racism and discrimination during childhood was assessed for each subgroup population. Perceived discrimination was measured using the Perceived Discrimination Scale. There were two major subgroups of individuals sharing similar trajectories of screen use: Drastically Increasing group (N = 1333); Gradually Increasing group (N = 10336). Higher proportions of the Drastically Increasing group were racial/ethnic minorities (70%) as compared to the Gradually Increasing group (45%). Moreover, the Drastically Increasing group had higher proportions of individuals reporting perceived racism and discrimination during childhood.
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Affiliation(s)
- Iris Yuefan Shao
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Joanne Yang
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Jason M. Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
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13
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Nagata JM, Alsamman S, Smith N, Yu J, Ganson KT, Dooley EE, Wing D, Baker FC, Pettee Gabriel K. Social epidemiology of Fitbit daily steps in early adolescence. Pediatr Res 2023; 94:1838-1844. [PMID: 37353663 PMCID: PMC10624619 DOI: 10.1038/s41390-023-02700-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 05/10/2023] [Accepted: 05/30/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Sociodemographic disparities in adolescent physical activity have been documented but mostly rely on self-reported data. Our objective was to examine differences in device-based step metrics, including daily step count (steps d-1), by sociodemographic factors among a diverse sample of 10-to-14-year-old adolescents in the US. METHODS We analyzed prospective cohort data from Year 2 (2018-2020) of the Adolescent Brain Cognitive Development (ABCD) Study (N = 6460). Mixed-effects models were conducted to estimate associations of sociodemographic factors (sex, sexual orientation, race/ethnicity, household income, parental education, and parental marital status) with repeated measures of steps d-1 over the course of 21 days. RESULTS Participants (49.6% female, 39.0% racial/ethnic minority) accumulated an average of 9095.8 steps d-1. In mixed-effects models, 1543.6 more steps d-1 were recorded for male versus female sex, Black versus White race (328.8 more steps d-1), heterosexual versus sexual minority sexual orientation (676.4 more steps d-1), >$200,000 versus <$25,000 household income (1003.3 more steps d-1), and having married/partnered parents versus unmarried/unpartnered parents (326.3 more steps d-1). We found effect modification by household income for Black adolescents and by sex for Asian adolescents. CONCLUSIONS Given sociodemographic differences in adolescent steps d-1, physical activity guidelines should focus on key populations and adopt strategies optimized for adolescents from diverse backgrounds. IMPACT Sociodemographic disparities in physical activity have been documented but mostly rely on self-reported data, which can be limited by reporting and prevarication bias. In this demographically diverse sample of 10-14-year-old early adolescents in the U.S., we found notable and nuanced sociodemographic disparities in Fitbit steps per day. More daily steps were recorded for male versus female sex, Black versus White race, heterosexual versus sexual minority, >$100,000 versus <$25,000 household income, and having married/partnered versus unmarried/unpartnered parents. We found effect modification by household income for Black adolescents and by sex for Asian adolescents.
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Affiliation(s)
- Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, CA, USA.
| | - Sana Alsamman
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Natalia Smith
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Jiayue Yu
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada
| | - Erin E Dooley
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David Wing
- Exercise and Physical Activity Resource Center, University of California, San Diego, CA, USA
- Center for Wireless and Population Health Systems, University of California, San Diego, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla University of California, San Diego, La Jolla, CA, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
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Damme K, Vargas T, Walther S, Shankman S, Mittal V. Physical and Mental Health in Adolescence: Novel Insights from a transdiagnostic examination of FitBit data in the ABCD Study. Res Sq 2023:rs.3.rs-3270112. [PMID: 37886441 PMCID: PMC10602093 DOI: 10.21203/rs.3.rs-3270112/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10 to 13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of internalizing symptoms, externalizing symptoms, and psychosis-like experiences - PLE). Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t=-2.69) and internalizing (t=-6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.
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Nagata JM, Singh G, Yang JH, Smith N, Kiss O, Ganson KT, Testa A, Jackson DB, Baker FC. Bedtime screen use behaviors and sleep outcomes: Findings from the Adolescent Brain Cognitive Development (ABCD) Study. Sleep Health 2023; 9:497-502. [PMID: 37098449 PMCID: PMC10823798 DOI: 10.1016/j.sleh.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 04/27/2023]
Abstract
OBJECTIVES To determine associations between bedtime screen time behaviors and sleep outcomes in a national study of early adolescents. METHODS We analyzed cross-sectional data from 10,280 early adolescents aged 10-14 (48.8% female) in the Adolescent Brain Cognitive Development Study (Year 2, 2018-2020). Regression analyses examined the association between self-reported bedtime screen use and self- and caregiver-reported sleep measures, including sleep disturbance symptoms, controlling for sex, race/ethnicity, household income, parent education, depression, data collection period (pre- vs. during COVID-19 pandemic), and study site. RESULTS Overall, 16% of adolescents had at least some trouble falling or staying asleep in the past 2 weeks and 28% had overall sleep disturbance, based on caregiver reports. Adolescents who had a television or an Internet-connected electronic device in the bedroom had a greater risk of having trouble falling or staying asleep (adjusted risk ratio 1.27, 95% CI 1.12-1.44) and overall sleep disturbance (adjusted risk ratio 1.15, 95% CI 1.06-1.25). Adolescents who left their phone ringer activated overnight had more trouble falling/staying asleep and greater overall sleep disturbance compared to those who turned off their cell phones at bedtime. Streaming movies, playing video games, listening to music, talking/texting on the phone, and using social media or chat rooms were all associated with trouble falling/staying asleep and sleep disturbance. CONCLUSIONS Several bedtime screen use behaviors are associated with sleep disturbances in early adolescents. The study's findings can inform guidance for specific bedtime screen behaviors among early adolescents.
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Affiliation(s)
- Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California, USA.
| | - Gurbinder Singh
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California, USA
| | - Joanne H Yang
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California, USA
| | - Natalia Smith
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, California, USA
| | - Orsolya Kiss
- Center for Health Sciences, SRI International, Menlo Park, California, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA; School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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Nagata JM, Yang JH, Singh G, Kiss O, Ganson KT, Testa A, Jackson DB, Baker FC. Cyberbullying and Sleep Disturbance Among Early Adolescents in the U.S. Acad Pediatr 2023; 23:1220-1225. [PMID: 36581100 PMCID: PMC10291005 DOI: 10.1016/j.acap.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 12/09/2022] [Accepted: 12/17/2022] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To determine the association between cyberbullying (victimization and perpetration) and sleep disturbance among a demographically diverse sample of 10-14-year-old early adolescents. METHODS We analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study (Year 2, 2018-2020) of early adolescents (10-14 years) in the US. Modified Poisson regression analyses examined the association between cyberbullying and self-reported and caregiver-reported sleep disturbance measures. RESULTS In a sample of 9,443 adolescents (mean age 12.0 years, 47.9% female, 47.8% white), 5.1% reported cyberbullying victimization, and 0.5% reported cyberbullying perpetration in the past 12 months. Cyberbullying victimization in the past 12 months was associated with adolescent-reported trouble falling/staying asleep (risk ratio [RR] 1.87, 95% confidence interval [CI] 1.57, 2.21) and caregiver-reported overall sleep disturbance of the adolescent (RR: 1.16 95% CI 1.00, 1.33), in models adjusting for sociodemographic factors and screen time. Cyberbullying perpetration in the past 12 months was associated with trouble falling/staying asleep (RR 1.95, 95% CI 1.21, 3.15) and caregiver-reported overall sleep disturbance of the adolescent (RR: 1.49, 95% CI 1.00, 2.22). CONCLUSIONS Cyberbullying victimization and perpetration are associated with sleep disturbance in early adolescence. Digital media education and counseling for adolescents, parents, teachers, and clinicians could focus on guidance to prevent cyberbullying and support healthy sleep behavior for early adolescents.
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Affiliation(s)
- Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics (JM Nagata, JH Yang, and G Singh), University of California, San Francisco.
| | - Joanne H Yang
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics (JM Nagata, JH Yang, and G Singh), University of California, San Francisco
| | - Gurbinder Singh
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics (JM Nagata, JH Yang, and G Singh), University of California, San Francisco
| | - Orsolya Kiss
- Center for Health Sciences (O Kiss, FC Baker), SRI International, Menlo Park, Calif
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work (KT Ganson), University of Toronto, Toronto, Ontario, Canada
| | - Alexander Testa
- Department of Management, Policy and Community Health (A Testa), University of Texas Health Science Center at Houston
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health (DB Jackson), Johns Hopkins University, Baltimore, Md
| | - Fiona C Baker
- Center for Health Sciences (O Kiss, FC Baker), SRI International, Menlo Park, Calif; School of Physiology (FC Baker), University of the Witwatersrand, Parktown, Johannesburg, South Africa
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Nagata JM, Lee CM, Yang J, Al-Shoaibi AAA, Ganson KT, Testa A, Jackson DB. Associations between sexual orientation and early adolescent screen use: findings from the Adolescent Brain Cognitive Development (ABCD) Study. Ann Epidemiol 2023; 82:54-58.e1. [PMID: 36965838 PMCID: PMC10793659 DOI: 10.1016/j.annepidem.2023.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 03/01/2023] [Accepted: 03/18/2023] [Indexed: 03/27/2023]
Abstract
PURPOSE To assess the association between sexual orientation and screen use (screen time and problematic screen use) in a demographically diverse national sample of early adolescents in the United States. METHODS We analyzed cross-sectional data from year 2 of the Adolescent Brain Cognitive Development Study (N = 10,339, 2018-2020, ages 10-14 years). Multiple linear regression analyses estimated the association between sexual orientation and recreational screen time, as well as problematic use of video games, social media, and mobile phones. RESULTS In a sample of 10,339 adolescents (48.7% female, 46.0% racial/ethnic minority), sexual minority (compared to heterosexual) identification was associated with 3.72 (95% CI 2.96-4.47) more hours of daily recreational screen time, specifically more time on television, YouTube videos, video games, texting, social media, video chat, and browsing the internet. Possible sexual minority identification (responding "maybe" to the sexual minority question) was associated with 1.58 (95% CI 0.92-2.24) more hours of screen time compared to heterosexual identification. Sexual minority and possible sexual minority identification were associated with higher problematic social media, video games, and mobile phone use. CONCLUSIONS Sexual minority adolescents spend a disproportionate amount of time engaging in screen-based activities, which can lead to problematic screen use.
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Affiliation(s)
- Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco.
| | - Christopher M Lee
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Joanne Yang
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Abubakr A A Al-Shoaibi
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center, Houston
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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18
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Chu J, Ganson KT, Baker FC, Testa A, Jackson DB, Murray SB, Nagata JM. Screen time and suicidal behaviors among U.S. children 9-11 years old: A prospective cohort study. Prev Med 2023; 169:107452. [PMID: 36805495 PMCID: PMC10829425 DOI: 10.1016/j.ypmed.2023.107452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/04/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023]
Abstract
Suicide is a leading cause of death among adolescents. Emerging literature has described relationships between excessive screen time and suicidal behaviors, though findings have been mixed. The objective of this study is to determine the prospective associations between screen time and suicidal behaviors two-years later in a national (U.S.) cohort of 9-11-year-old-children. We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,633). Logistic regression analyses were estimated to determine the associations between baseline self-reported screen time (exposure) and suicidal behaviors (outcome) based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) at two-year-follow-up. Participants reported an average of 4.0 h of total screen time per day at baseline. At two-year-follow-up, 1.38% of the sample reported at least one suicidal behavior. Each additional hour of total screen time was prospectively associated with 1.09 higher odds of suicidal behaviors at 2-year-follow-up (95% CI 1.03-1.14), after adjusting for covariates. For specific screen time modalities, each additional hour of texting (aOR 1.36, 95% CI 1.06-1.74), video chatting (aOR 1.30, 95% CI 1.03-1.65), watching videos (aOR 1.21, 95% CI 1.04-1.39), and playing video games (aOR 1.18, 95% CI 1.01-1.38) was associated with higher odds of subsequent suicidal behaviors. Higher screen time is associated with higher odds of reporting suicidal behaviors at two-year-follow-up. Future research should seek to identify how specific screen time experiences may influence suicidal behaviors.
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Affiliation(s)
- Jonathan Chu
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON, Canada
| | - Fiona C Baker
- Biosciences Division, Center for Health Sciences, SRI International, Menlo Park, CA, USA; Department of Physiology, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Stuart B Murray
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
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Sukumaran K, Cardenas-Iniguez C, Burnor E, Bottenhorn KL, Hackman DA, McConnell R, Berhane K, Schwartz J, Chen JC, Herting MM. Ambient fine particulate exposure and subcortical gray matter microarchitecture in 9- and 10-year-old children across the United States. iScience 2023; 26:106087. [PMID: 36915692 PMCID: PMC10006642 DOI: 10.1016/j.isci.2023.106087] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 12/16/2022] [Accepted: 01/25/2023] [Indexed: 02/01/2023] Open
Abstract
Neuroimaging studies showing the adverse effects of air pollution on neurodevelopment have largely focused on smaller samples from limited geographical locations and have implemented univariant approaches to assess exposure and brain macrostructure. Herein, we implement restriction spectrum imaging and a multivariate approach to examine how one year of annual exposure to daily fine particulate matter (PM2.5), daily nitrogen dioxide (NO2), and 8-h maximum ozone (O3) at ages 9-10 years relates to subcortical gray matter microarchitecture in a geographically diverse subsample of children from the Adolescent Brain Cognitive Development (ABCD) Study℠. Adjusting for confounders, we identified a latent variable representing 66% of the variance between one year of air pollution and subcortical gray matter microarchitecture. PM2.5 was related to greater isotropic intracellular diffusion in the thalamus, brainstem, and accumbens, which related to cognition and internalizing symptoms. These findings may be indicative of previously identified air pollution-related risk for neuroinflammation and early neurodegenerative pathologies.
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Affiliation(s)
- Kirthana Sukumaran
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Elisabeth Burnor
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Katherine L. Bottenhorn
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
- Department of Psychology, Florida International University, Miami, FL 33199, USA
| | - Daniel A. Hackman
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
- Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Megan M. Herting
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
- Children’s Hospital Los Angeles, Los Angeles, CA 90027, USA
- Corresponding author
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Nagata JM, Chu J, Zamora G, Ganson KT, Testa A, Jackson DB, Costello CR, Murray SB, Baker FC. Screen Time and Obsessive-Compulsive Disorder Among Children 9-10 Years Old: A Prospective Cohort Study. J Adolesc Health 2023; 72:390-396. [PMID: 36517380 PMCID: PMC9975071 DOI: 10.1016/j.jadohealth.2022.10.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/12/2022] [Accepted: 10/13/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE The aim of this study is to determine the prospective associations between baseline screen time and obsessive-compulsive disorder (OCD) at 2-year follow-up in a national (United States) cohort of 9- to 10-year-old children. METHODS We analyzed prospective cohort data from the Adolescent Brain Cognitive Development study (n = 9,208). Logistic regression analyses were used to determine the associations between baseline self-reported screen time (exposure) and OCD, based on the Kiddie Schedule for Affective Disorders and Schizophrenia (outcome), at 2-year-follow-up, adjusting for race/ethnicity, sex, household income, parent education, family history of psychopathology, and study site, excluding participants with baseline OCD. RESULTS The sample was 48.9% female and racially and ethnically diverse (43.5% non-White). Each additional hour of total screen time was prospectively associated with 1.05 higher odds of OCD at 2-year follow-up (95% confidence interval [CI] 1.01-1.09). For specific screen time modalities, each additional hour of playing video games (adjusted odds ratio 1.15, 95% CI 1.03-1.28) and watching videos (adjusted odds ratio 1.11, 95% CI 1.01-1.23) was associated with a subsequent OCD diagnosis. CONCLUSION Video games and watching videos are prospectively associated with new-onset OCD in early adolescents. Future research should examine mechanisms linking these specific screen modalities to OCD development to inform future prevention and intervention efforts.
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Affiliation(s)
- Jason M Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco, California.
| | - Jonathan Chu
- Department of Pediatrics, University of California, San Francisco, San Francisco, California
| | - Gabriel Zamora
- Department of Pediatrics, University of California, San Francisco, San Francisco, California
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Caitlin R Costello
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California
| | - Stuart B Murray
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California; School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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21
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Nagata JM, Smith N, Alsamman S, Lee CM, Dooley EE, Kiss O, Ganson KT, Wing D, Baker FC, Gabriel KP. Association of Physical Activity and Screen Time With Body Mass Index Among US Adolescents. JAMA Netw Open 2023; 6:e2255466. [PMID: 36757695 PMCID: PMC9912127 DOI: 10.1001/jamanetworkopen.2022.55466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/10/2023] Open
Abstract
IMPORTANCE The Physical Activity Guidelines Advisory Committee Scientific Report identified important research gaps to inform future guidance for adolescents, including limited evidence on the importance of sedentary behaviors (screen time) and their interactions with physical activity for adolescent health outcomes, including overweight and obesity. OBJECTIVE To identify the independent associations of physical activity and screen time categories, and the interactions between physical activity and screen time categories, with body mass index (BMI) and overweight and obesity in adolescents. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used data from the Adolescent Brain Cognitive Development (ABCD) Study collected from September 10, 2018, to September 29, 2020. Data were analyzed from July 8 to December 20, 2022. A total of 5797 adolescents aged 10 to 14 years from 21 racially and ethnically diverse study sites across the US were included in the analysis. EXPOSURES Categories of total step count per day (with 1000 to 6000 steps per day indicating low, >6000 to 12 000 steps per day indicating medium, and >12 000 steps per day indicating high), as measured by a wearable digital device (Fitbit), and categories of self-reported screen time hours per day (with 0 to 4 hours per day indicating low, >4 to 8 hours per day indicating medium, and >8 hours per day indicating high). MAIN OUTCOMES AND MEASURES Participant BMI was calculated as weight in kilograms divided by height in meters squared and converted into sex- and age-specific percentiles in accordance with the Centers for Disease Control and Prevention growth curves and definitions. Individuals were classified as having overweight or obesity if their BMI was in the 85th percentile or higher for sex and age. RESULTS Among 5797 adolescents included in the analytic sample, 50.4% were male, 61.0% were White, 35.0% had overweight or obesity, and the mean (SD) age was 12.0 (0.6) years. Mean (SD) reported screen time use was 6.5 (5.4) hours per day, and mean (SD) overall step count was 9246.6 (3111.3) steps per day. In models including both screen time and step count, medium (risk ratio [RR], 1.24; 95% CI, 1.12-1.37) and high (RR, 1.29; 95% CI, 1.16-1.44) screen time categories were associated with higher overweight or obesity risk compared with the low screen time category. Medium (RR, 1.19; 95% CI, 1.06-1.35) and low (RR, 1.30; 95% CI, 1.11-1.51) step count categories were associated with higher overweight or obesity risk compared with the high step count category. Evidence of effect modification between screen time and step count was observed for BMI percentile. For instance, among adolescents with low screen use, medium step count was associated with a 1.55 higher BMI percentile, and low step count was associated with a 7.48 higher BMI percentile. However, among those with high screen use, step count categories did not significantly change the association with higher BMI percentile (low step count: 8.79 higher BMI percentile; medium step count: 8.76 higher BMI percentile; high step count: 8.26 higher BMI percentile). CONCLUSIONS AND RELEVANCE In this cross-sectional study, a combination of low screen time and high step count was associated with lower BMI percentile in adolescents. These results suggest that high step count may not offset higher overweight or obesity risk for adolescents with high screen time, and low screen time may not offset higher overweight or obesity risk for adolescents with low step count. These findings addressed several research gaps identified by the Physical Activity Guidelines Advisory Committee Scientific Report and may be used to inform future screen time and physical activity guidance for adolescents.
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Affiliation(s)
- Jason M. Nagata
- Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Natalia Smith
- Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Sana Alsamman
- Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Christopher M. Lee
- Department of Pediatrics, University of California, San Francisco, San Francisco
| | - Erin E. Dooley
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | - Orsolya Kiss
- Center for Health Sciences, SRI International, Menlo Park, California
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - David Wing
- Exercise and Physical Activity Resource Center, University of California, San Diego, La Jolla
- Center for Wireless and Population Health Systems, University of California, San Diego, La Jolla
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, California
- School of Physiology, University of the Witwatersrand, Braamfontein, Johannesburg, South Africa
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Nagata JM, Yu J, Dooley EE, Baker FC, Alsamman S, Wing D, Ganson KT, Pettee Gabriel K. Lower daily steps among U.S. adolescents during the COVID-19 pandemic: Objective findings from the Adolescent Brain Cognitive Development Study. Prev Med Rep 2023; 31:102095. [PMID: 36567744 PMCID: PMC9762097 DOI: 10.1016/j.pmedr.2022.102095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 12/12/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Jason M. Nagata
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA 94143, USA
| | - Jiayue Yu
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA 94143, USA
| | - Erin E. Dooley
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35233, USA
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, 333 Ravenswood Ave, Menlo Park, CA 94025, USA
- School of Physiology, University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg 2000, South Africa
| | - Sana Alsamman
- Department of Pediatrics, University of California, San Francisco, 550 16th Street, 4th Floor, Box 0503, San Francisco, CA 94143, USA
| | - David Wing
- Exercise and Physical Activity Resource Center, University of California, San Diego, 9500 Gilman Drive, Dept. 0811, La Jolla, CA 92093-081, USA
- Center for Wireless and Population Health Systems, University of California, San Diego 9500 Gilman Dr., La Jolla, CA 92093, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35233, USA
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Nagata JM, Chu J, Ganson KT, Murray SB, Iyer P, Gabriel KP, Garber AK, Bibbins-Domingo K, Baker FC. Contemporary screen time modalities and disruptive behavior disorders in children: a prospective cohort study. J Child Psychol Psychiatry 2023; 64:125-135. [PMID: 35881083 PMCID: PMC9771898 DOI: 10.1111/jcpp.13673] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/24/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Cross-sectional studies have demonstrated associations between screen time and disruptive behavior disorders (conduct disorder and oppositional defiant disorder); however, prospective associations remain unknown. This study's objective was to determine the prospective associations of contemporary screen time modalities with conduct and oppositional defiant disorder in a national cohort of 9-11-year-old children. METHODS We analyzed data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,875). Modified Poisson regression analyses were conducted to estimate the associations between baseline child-reported screen time (total and by modality) and parent-reported conduct or oppositional defiant disorder based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) at 1-year follow-up, adjusting for potential confounders. RESULTS Participants reported an average of 4 hr of total screen time per day at baseline. Each hour of total screen time per day was prospectively associated with a 7% higher prevalence of conduct disorder (95% CI 1.03-1.11) and a 5% higher prevalence of oppositional defiant disorder (95% CI 1.03-1.08) at 1-year follow-up. Each hour of social media per day was associated with a 62% higher prevalence of conduct disorder (95% CI 1.39-1.87). Each hour of video chat (prevalence ratio [PR] 1.21, 95% CI 1.06-1.37), texting (PR 1.19, 95% CI 1.07-1.33), television/movies (PR 1.17, 95% CI 1.10-1.25), and video games (PR 1.14, 95% CI 1.07-1.21) per day was associated with a higher prevalence of the oppositional defiant disorder. When examining thresholds, exposure to >4 hr of total screen time per day was associated with a higher prevalence of conduct disorder (69%) and oppositional defiant disorder (46%). CONCLUSIONS Higher screen time was prospectively associated with a higher prevalence of new-onset disruptive behavior disorders. The strongest association was between social media and conduct disorder, indicating that future research and interventions may focus on social media platforms to prevent conduct disorder.
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Affiliation(s)
- Jason M. Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Jonathan Chu
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Stuart B. Murray
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, USA
| | - Puja Iyer
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Andrea K. Garber
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Fiona C. Baker
- Biosciences Division, Center for Health Sciences, SRI International, Menlo Park, California, USA
- Department of Physiology, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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Pat N, Wang Y, Anney R, Riglin L, Thapar A, Stringaris A. Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors. Hum Brain Mapp 2022; 43:5520-5542. [PMID: 35903877 PMCID: PMC9704790 DOI: 10.1002/hbm.26027] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 02/13/2022] [Revised: 06/22/2022] [Accepted: 07/07/2022] [Indexed: 01/15/2023] Open
Abstract
Cognitive abilities are one of the major transdiagnostic domains in the National Institute of Mental Health's Research Domain Criteria (RDoC). Following RDoC's integrative approach, we aimed to develop brain-based predictive models for cognitive abilities that (a) are developmentally stable over years during adolescence and (b) account for the relationships between cognitive abilities and socio-demographic, psychological and genetic factors. For this, we leveraged the unique power of the large-scale, longitudinal data from the Adolescent Brain Cognitive Development (ABCD) study (n ~ 11 k) and combined MRI data across modalities (task-fMRI from three tasks: resting-state fMRI, structural MRI and DTI) using machine-learning. Our brain-based, predictive models for cognitive abilities were stable across 2 years during young adolescence and generalisable to different sites, partially predicting childhood cognition at around 20% of the variance. Moreover, our use of 'opportunistic stacking' allowed the model to handle missing values, reducing the exclusion from around 80% to around 5% of the data. We found fronto-parietal networks during a working-memory task to drive childhood-cognition prediction. The brain-based, predictive models significantly, albeit partially, accounted for variance in childhood cognition due to (1) key socio-demographic and psychological factors (proportion mediated = 18.65% [17.29%-20.12%]) and (2) genetic variation, as reflected by the polygenic score of cognition (proportion mediated = 15.6% [11%-20.7%]). Thus, our brain-based predictive models for cognitive abilities facilitate the development of a robust, transdiagnostic research tool for cognition at the neural level in keeping with the RDoC's integrative framework.
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Affiliation(s)
- Narun Pat
- Department of PsychologyUniversity of OtagoDunedinNew Zealand
| | - Yue Wang
- Department of PsychologyUniversity of OtagoDunedinNew Zealand
| | - Richard Anney
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine and Wolfson Centre for Young People's Mental HealthCardiff UniversityCardiffUK
| | - Lucy Riglin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine and Wolfson Centre for Young People's Mental HealthCardiff UniversityCardiffUK
| | - Anita Thapar
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine and Wolfson Centre for Young People's Mental HealthCardiff UniversityCardiffUK
| | - Argyris Stringaris
- Division of Psychiatry, Department of Clinical, Educational and Health PsychologyUniversity College LondonLondonUK
- Department of PsychiatryNational and Kapodistrian University of AthensAthensGreece
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Raney JH, Testa A, Jackson DB, Ganson KT, Nagata JM. Associations Between Adverse Childhood Experiences, Adolescent Screen Time and Physical Activity During the COVID-19 Pandemic. Acad Pediatr 2022; 22:1294-1299. [PMID: 35853601 PMCID: PMC9288265 DOI: 10.1016/j.acap.2022.07.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To determine the associations between Adverse Childhood Experiences (ACEs), adolescent screen time, and physical activity during the early COVID-19 pandemic. METHODS Data (2016-2020) from the Adolescent Brain Cognitive Development (ABCD) study were analyzed. Linear regression analyses estimated associations between ACE score and screen time and physical activity in May 2020, adjusting for potential confounders. RESULTS Of the 6749 adolescent respondents primarily aged 12-13, 81.6% reported a history of one ACE or more. In adjusted models, a higher ACE score was significantly associated with greater hours per day of screen time, with youth with ≥4 ACEs associated with 2.3 more hours of screen time per day compared to youth with 0 ACEs. In addition, the adjusted models found that a higher ACE score was associated with lower physical activity; youth with ≥4 ACEs averaged 0.8 fewer hours per week of physical activity and 0.5 fewer days per week of 60 minutes of physical activity compared to youth with 0 ACEs. Gender and race were also significantly associated with changes in screen time and physical activity. CONCLUSIONS ACEs are associated with higher adolescent sedentary behaviors, particularly greater screen time, during the early COVID-19 pandemic (May 2020). Clinicians caring for youth exposed to trauma in the postpandemic environment should explore screen time and physical activity behaviors.
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Affiliation(s)
- Julia H Raney
- Department of Pediatrics, Division of Adolescent and Young Adult Medicine (J Raney and J Nagata), University of California, San Francisco.
| | - Alexander Testa
- Department of Management, Policy and Community Health (A Testa), University of Texas Health Science Center at Houston
| | - Dylan B Jackson
- Department of Population, Family and Reproductive Health (DB Jackson), Johns Hopkins Bloomberg School of Public Health, Baltimore, Md
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work (KT Ganson), University of Toronto, Toronto, Ontario, Canada
| | - Jason M Nagata
- Department of Pediatrics, Division of Adolescent and Young Adult Medicine (J Raney and J Nagata), University of California, San Francisco
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Nagata JM, Trompeter N, Singh G, Ganson KT, Testa A, Jackson DB, Assari S, Murray SB, Bibbins-Domingo K, Baker FC. Social Epidemiology of Early Adolescent Cyberbullying in the United States. Acad Pediatr 2022; 22:1287-1293. [PMID: 35840085 PMCID: PMC9969904 DOI: 10.1016/j.acap.2022.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/29/2022] [Accepted: 07/02/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVE To determine the prevalence and sociodemographic correlates of cyberbullying victimization and perpetration among a racially, ethnically and socioeconomically diverse population-based sample of 11-12-year-old early adolescents. METHODS We analyzed cross-sectional data from the Adolescent Brain Cognitive Development (ABCD) Study (Year 2; N = 9429). Multiple logistic regression analyses were used to estimate associations between sociodemographic factors (sex, race/ethnicity, sexual orientation, country of birth, household income, parental education) and adolescent-reported cyberbullying victimization and perpetration. RESULTS In the overall sample, lifetime prevalence of cyberbullying victimization was 9.6%, with 65.8% occurring in the past 12 months, while lifetime prevalence of cyberbullying perpetration was 1.1%, with 59.8% occurring in the past 12 months. Boys reported higher odds of cyberbullying perpetration (AOR 1.71, 95% CI 1.01-2.92) but lower odds of cyberbullying victimization (AOR 0.80, 95% CI 0.68-0.94) than girls. Sexual minorities reported 2.83 higher odds of cyberbullying victimization (95% CI 1.69-4.75) than nonsexual minorities. Lower household income was associated with 1.64 (95% CI 1.34-2.00) higher odds of cyberbullying victimization than higher household income, however household income was not associated with cyberbullying perpetration. Total screen time, particularly on the internet and social media, was associated with both cyberbullying victimization and perpetration. CONCLUSIONS Nearly one in 10 early adolescents reported cyberbullying victimization. Pediatricians, parents, teachers, and online platforms can provide education to support victims and prevent perpetration for early adolescents at the highest risk of cyberbullying.
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Affiliation(s)
- Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics (JM Nagata and G Singh), University of California, San Francisco, Calif, USA.
| | - Nora Trompeter
- Department of Psychology (N Trompeter), Centre for Emotional Health, Macquarie University, Sydney, NSW, Australia
| | - Gurbinder Singh
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics (JM Nagata and G Singh), University of California, San Francisco, Calif, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work (KT Ganson), University of Toronto, Toronto, Ontario, Canada
| | - Alexander Testa
- Department of Management (A Testa), Policy and Community Health, University of Texas Health Science Center at Houston, Houston, Tex, USA
| | - Dylan B Jackson
- Department of Population (DB Jackson), Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md, USA
| | - Shervin Assari
- Department of Family Medicine (S Assari), College of Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, Calif, USA; Department of Urban Public Health (S Assari), Charles R. Drew University of Medicine and Science, Los Angeles, Calif, USA; Marginalization-related Diminished Returns (MDRs) Research Center (S Assari), Charles R. Drew University of Medicine and Science, Los Angeles, Calif, USA
| | - Stuart B Murray
- Department of Psychiatry and Behavioral Sciences (SB Murray), University of Southern California, Los Angeles, Calif, USA
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics (K Bibbins-Domingo), University of California, San Francisco, San Francisco, Calif, USA
| | - Fiona C Baker
- Center for Health Sciences (FC Baker), SRI International, Menlo Park, Calif, USA; School of Physiology (FC Baker), University of the Witwatersrand, Johannesburg, South Africa
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Mirzaie K, Burns-gebhart A, Meyerheim M, Sander A, Graf N. Emotion Regulation Flexibility and Electronic Patient-Reported Outcomes: A Framework for Understanding Symptoms and Affect Dynamics in Pediatric Psycho-Oncology. Cancers (Basel) 2022; 14:3874. [PMID: 36010870 PMCID: PMC9405711 DOI: 10.3390/cancers14163874] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/03/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022] Open
Abstract
Simple Summary The individual’s ability to conceive and regulate the broad spectrum of their human emotions is closely linked to their mental health. The implications of a serious disease such as cancer represent an extraordinary burden to these internal coping mechanisms, especially in the case of young patients. Regarding their well-being and support, it is therefore of particular interest for caregivers to be able to follow the dynamics of the patient’s emotional world and perceptions. Technical progress enables new possibilities for data collection through tools for digital patient self-reports while simultaneously creating new challenges. Within the scope of this article, we provide an overview of the literature on this topic, outlining the current strengths and weaknesses and possible perspectives on digital aids, especially in terms of capturing the flexibility, fluctuations and early detection of symptom changes. Abstract Emotion dysregulation is regarded as a driving mechanism for the development of mental health problems and psychopathology. The role of emotion regulation (ER) in the management of cancer distress and quality of life (QoL) has recently been recognized in psycho-oncology. The latest technological advances afford ways to assess ER, affective experiences and QoL in child, adolescent and young adult (CAYA) cancer patients through electronic patient-reported outcomes (ePRO) in their daily environment in real-time. Such tools facilitate ways to study the dynamics of affect and the flexibility of ER. However, technological advancement is not risk-free. We critically review the literature on ePRO in cancer existing models of ER in pediatric psycho-oncology and analyze strength, weaknesses, opportunities and threats of ePRO with a focus on CAYA cancer research and care. Supported by personal study-based experiences, this narrative review serves as a foundation to propose a novel methodological and metatheoretical framework based on: (a) an extended notion of ER, which includes its dynamic, adaptive and flexible nature and focuses on processes and conditions rather than fixed categorical strategies; (b) ePRO as a means to measure emotion regulation flexibility and affect dynamics; (c) identifying early warning signals for symptom change via ePRO and building forecasting models using dynamical systems theory.
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Zhao Y, Paulus M, Bagot KS, Constable RT, Yaggi HK, Redeker NS, Potenza MN. Brain structural covariation linked to screen media activity and externalizing behaviors in children. J Behav Addict 2022; 11:417-426. [PMID: 35895476 PMCID: PMC9295222 DOI: 10.1556/2006.2022.00044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 05/02/2022] [Accepted: 05/20/2022] [Indexed: 11/22/2022] Open
Abstract
Background and Aims Screen media activity (SMA) may impact neurodevelopment in youth. Cross-sectionally, SMA has been linked to brain structural patterns including cortical thinning in children. However, it remains unclear whether specific brain structural co-variation patterns are related to SMA and other clinically relevant measures such as psychopathology, cognition and sleep in children. Methods Adolescent Brain Cognitive Development (ABCD) participants with useable baseline structural imaging (N = 10,691; 5,107 girls) were analyzed. We first used the Joint and Individual Variation Explained (JIVE) approach to identify cortical and subcortical covariation pattern(s) among a set of 221 brain features (i.e., surface area, thickness, or cortical and subcortical gray matter (GM) volumes). Then, the identified structural covariation pattern was used as a predictor in linear mixed-effect models to investigate its associations with SMA, psychopathology, and cognitive and sleep measures. Results A thalamus-prefrontal cortex (PFC)-brainstem structural co-variation pattern (circuit) was identified. The pattern suggests brainstem and bilateral thalamus proper GM volumes covary more strongly with GM volume and/or surface area in bilateral superior frontal gyral, rostral middle frontal, inferior parietal, and inferior temporal regions. This covariation pattern highly resembled one previously linked to alcohol use initiation prior to adulthood and was consistent in girls and boys. Subsequent regression analyses showed that this co-variation pattern associated with SMA (β = 0.107, P = 0.002) and externalizing psychopathology (β = 0.117, P = 0.002), respectively. Discussion and Conclusions Findings linking SMA-related structural covariation to externalizing psychopathology in youth resonate with prior studies of alcohol-use initiation and suggest a potential neurodevelopmental mechanism underlying addiction vulnerability.
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Affiliation(s)
- Yihong Zhao
- Columbia University School of Nursing, New York, NY, USA
- Center of Alcohol and Substance Use Studies, Rutgers University, Piscataway, NJ, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Martin Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
- University of California San Diego, Department of Psychiatry, USA
| | - Kara S. Bagot
- Department of Psychiatry, Addiction Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - R. Todd Constable
- Biomedical Engineering, Radiology and Biomedical Imaging, Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - H. Klar Yaggi
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- VA Clinical Epidemiology Research Center, VA Connecticut HCS, West Haven, CT, USA
| | | | - Marc N. Potenza
- Department of Psychiatry, Child Study Center, Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
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Mewton L, Squeglia L. Neurodevelopmental Profiles in Adolescence: Leveraging Data From the Landmark Adolescent Brain Cognitive Development Study. Biol Psychiatry Cogn Neurosci Neuroimaging 2022; 7:343-345. [PMID: 35396019 PMCID: PMC10793662 DOI: 10.1016/j.bpsc.2022.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 01/14/2022] [Indexed: 06/14/2023]
Affiliation(s)
- Louise Mewton
- Centre for Healthy Brain Ageing, School of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia.
| | - Lindsay Squeglia
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina
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Nelson BW, Flannery JE, Flournoy J, Duell N, Prinstein MJ, Telzer E. Concurrent and prospective associations between fitbit wearable-derived RDoC arousal and regulatory constructs and adolescent internalizing symptoms. J Child Psychol Psychiatry 2022; 63:282-295. [PMID: 34184767 DOI: 10.1111/jcpp.13471] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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] [Accepted: 05/18/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Adolescence is characterized by alterations in biobehavioral functioning, during which individuals are at heightened risk for onset of psychopathology, particularly internalizing disorders. Researchers have proposed using digital technologies to index daily biobehavioral functioning, yet there is a dearth of research examining how wearable metrics are associated with mental health. METHODS We preregistered analyses using the Adolescent Brain Cognitive Development Study dataset using wearable data collection in 5,686 adolescents (123,862 person-days or 2,972,688 person-hours) to determine whether wearable indices of resting heart rate (RHR), step count, and sleep duration and variability in these measures were cross-sectionally associated with internalizing symptomatology. All models were also run controlling for age, sex, body mass index, socioeconomic status, and race. We then performed prospective analyses on a subset of this sample (n = 143) across 25 months that had Fitbit data available at baseline and follow-up in order to explore directionality of effects. RESULTS Cross-sectional analyses revealed a small, yet significant, effect size (R2 = .053) that higher RHR, lower step count and step count variability, and greater variability in sleep duration were associated with greater internalizing symptoms. Cross-lagged panel model analysis revealed that there were no prospective associations between wearable variables and internalizing symptoms (partial R2 = .026), but greater internalizing symptoms and higher RHR predicted lower step count 25 months later (partial R2 = .010), while higher RHR also predicted lower step count variability 25 months later (partial R2 = .008). CONCLUSIONS Findings indicate that wearable indices concurrently associate with internalizing symptoms during early adolescence, while a larger sample size is likely required to accurately assess prospective or directional effects between wearable indices and mental health. Future research should capitalize on the temporal resolution provided by wearable devices to determine the intensive longitudinal relations between biobehavioral risk factors and acute changes in mental health.
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Affiliation(s)
- Benjamin W Nelson
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jessica E Flannery
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - John Flournoy
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Natasha Duell
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mitchell J Prinstein
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eva Telzer
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Chen W, Wang Z, Wang L, Chen X. Smart Chemical Engineering-Based Lightweight and Miniaturized Attachable Systems for Advanced Drug Delivery and Diagnostics. Adv Mater 2022; 34:e2106701. [PMID: 34643302 DOI: 10.1002/adma.202106701] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/09/2021] [Indexed: 06/13/2023]
Abstract
Smart attachable systems have attracted much attention owing to their capabilities in terms of body performance evaluation, disease diagnostics, and drug delivery. Recent advances in chemical and engineering techniques provide many opportunities to improve device fabrication and applications owing to the advantages of being lightweight and easy to control as well as their battery absence and functional diversity. This review highlights the latest developments in the field of chemical engineering-based lightweight and miniaturized attachable systems, which are mainly inspired by the natural world. Their applications for real-time monitoring, point-of-care sampling, biomarker detection, and controlled release are discussed thoroughly with respect to specific products/prototypes. The perspectives of the field, including persistence guarantee, burden reduction, and personality improvement, are also discussed. It is believed that chemical engineering-based lightweight and miniaturized attachable systems have good potential in both clinical and industrial fields, indicating a large potential to improve human lives in the near future.
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Affiliation(s)
- Wei Chen
- Department of Pharmacology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic Evaluation, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zheng Wang
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lin Wang
- Research Center for Tissue Engineering and Regenerative Medicine, Union Hospital, Huazhong University of Science and Technology, Wuhan, 430022, China
- Department of Clinical Laboratory, Union Hospital, Huazhong University of Science & Technology, Wuhan, 430022, China
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology and Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Departments of Chemical and Biomolecular Engineering and Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117597, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
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Nagata JM, Cortez CA, Cattle CJ, Ganson KT, Iyer P, Bibbins-Domingo K, Baker FC. Screen Time Use Among US Adolescents During the COVID-19 Pandemic: Findings From the Adolescent Brain Cognitive Development (ABCD) Study. JAMA Pediatr 2022; 176:94-96. [PMID: 34724543 PMCID: PMC8561427 DOI: 10.1001/jamapediatrics.2021.4334] [Citation(s) in RCA: 90] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 08/30/2021] [Indexed: 11/14/2022]
Affiliation(s)
- Jason M. Nagata
- Department of Pediatrics, University of California, San Francisco
| | | | - Chloe J. Cattle
- Department of Pediatrics, University of California, San Francisco
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Puja Iyer
- Department of Pediatrics, University of California, San Francisco
| | | | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, California
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Nagata JM, Singh G, Sajjad OM, Ganson KT, Testa A, Jackson DB, Assari S, Murray SB, Bibbins-Domingo K, Baker FC. Social epidemiology of early adolescent problematic screen use in the United States. Pediatr Res 2022; 92:1443-1449. [PMID: 35768491 PMCID: PMC9243697 DOI: 10.1038/s41390-022-02176-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/07/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To determine sociodemographic correlates of problematic screen use (social media, video games, mobile phones) among a racially/ethnically and socioeconomically diverse population-based sample of 10-14-year-old early adolescents. STUDY DESIGN We analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 2, 2018-2020; N = 8753). Multiple linear regression analyses were used to estimate associations between sociodemographic factors (age, sex, race/ethnicity, primary language, household income, parental education) and adolescent-reported problematic video game (Video Game Addiction Questionnaire), social media (Social Media Addiction Questionnaire), and mobile phone use (Mobile Phone Involvement Questionnaire). RESULTS Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Having unmarried/unpartnered parents was associated with higher problematic social media use. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents (p for interaction <0.05). CONCLUSIONS Given the sociodemographic differences in problematic screen use, digital literacy education strategies can focus on at-risk populations, encourage targeted counseling by pediatricians, and adapt family media use plans for diverse backgrounds. IMPACT While sociodemographic differences in screen time are documented, we examined sociodemographic differences in problematic screen use in a large, diverse sample of early adolescents in the US. Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents. Beyond time spent on screens, pediatricians, parents, and educators should be aware of sociodemographic differences in problematic screen use.
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Affiliation(s)
- Jason M. Nagata
- grid.266102.10000 0001 2297 6811Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA USA
| | - Gurbinder Singh
- grid.266102.10000 0001 2297 6811Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA USA
| | - Omar M. Sajjad
- grid.254880.30000 0001 2179 2404Geisel School of Medicine, Dartmouth College, Hanover, NH USA
| | - Kyle T. Ganson
- grid.17063.330000 0001 2157 2938Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, ON Canada
| | - Alexander Testa
- grid.267308.80000 0000 9206 2401Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, TX USA
| | - Dylan B. Jackson
- grid.21107.350000 0001 2171 9311Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Shervin Assari
- grid.254041.60000 0001 2323 2312Department of Family Medicine, College of Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA USA ,grid.254041.60000 0001 2323 2312Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA USA ,grid.254041.60000 0001 2323 2312Marginalization-related Diminished Returns (MDRs) Research Center, Charles R. Drew University of Medicine and Science, Los Angeles, CA USA
| | - Stuart B. Murray
- grid.42505.360000 0001 2156 6853Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA USA
| | - Kirsten Bibbins-Domingo
- grid.266102.10000 0001 2297 6811Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA USA
| | - Fiona C. Baker
- grid.98913.3a0000 0004 0433 0314Center for Health Sciences, SRI International, Menlo Park, CA USA ,grid.11951.3d0000 0004 1937 1135School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
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Nagata JM, Ganson KT, Iyer P, Chu J, Baker FC, Gabriel KP, Garber AK, Murray SB, Bibbins-Domingo K. Sociodemographic Correlates of Contemporary Screen Time Use among 9- and 10-Year-Old Children. J Pediatr 2022; 240:213-220.e2. [PMID: 34481807 PMCID: PMC9107378 DOI: 10.1016/j.jpeds.2021.08.077] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [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: 05/06/2021] [Revised: 08/20/2021] [Accepted: 08/26/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To determine sociodemographic correlates of contemporary screen time use among a diverse population-based sample of 9- and 10-year-old children. STUDY DESIGN In 2021, we analyzed cross-sectional baseline (2016-2018) data from the Adolescent Brain Cognitive Development study (n = 10 755). Multiple linear regression analyses were conducted to estimate associations between sociodemographic factors (sex, race/ethnicity, country of birth, household income, parental education) and 6 contemporary forms of screen time (television, videos [eg, YouTube], video games, social networking, texting, and video chat). RESULTS On average, children reported 3.99 hours of screen time per day across 6 modalities, with the most time spent watching/streaming television shows/movies (1.31 hours), playing video games (1.06 hours), and watching/streaming videos (1.05 hours). On average, Black children reported 1.58 more hours of screen time per day and Asian children reported 0.35 less hours of screen time per day compared with White children (mean 3.46 hours per day), and these trends persisted across most modalities. Boys reported higher overall screen time (0.75 hours more) than girls, which was primarily attributed to video games and videos. Girls reported more time texting, social networking, and video chatting than boys. Higher income was associated with lower screen time usage across all modalities except video chat. However, in high-income households, Latinx children reported 0.65 more hours of screen time per day than White children. CONCLUSIONS Given the sociodemographic differences in child screen use, guideline implementation strategies can focus on key populations, encourage targeted counseling by pediatricians, and adapt Family Media Use Plans for diverse backgrounds.
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Affiliation(s)
- Jason M. Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
| | - Puja Iyer
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Jonathan Chu
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA,Department of Physiology, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Andrea K. Garber
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Stuart B. Murray
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, USA
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
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Burnor E, Cserbik D, Cotter DL, Palmer CE, Ahmadi H, Eckel SP, Berhane K, McConnell R, Chen JC, Schwartz J, Jackson R, Herting MM. Association of Outdoor Ambient Fine Particulate Matter With Intracellular White Matter Microstructural Properties Among Children. JAMA Netw Open 2021; 4:e2138300. [PMID: 34882178 PMCID: PMC8662373 DOI: 10.1001/jamanetworkopen.2021.38300] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/14/2021] [Indexed: 11/23/2022] Open
Abstract
Importance Outdoor particulate matter 2.5 μm or less in diameter (PM2.5) is a ubiquitous environmental neurotoxicant that may affect the developing brain. Little is known about associations between PM2.5 and white matter connectivity. Objectives To assess associations between annual residential PM2.5 exposure and white matter microstructure health in a US sample of children 9 to 10 years of age and to examine whether associations are specific to certain white matter pathways or vary across neuroimaging diffusion markers reflective of intracellular and extracellular microstructural processes. Design, Setting, and Participants This cross-sectional study, the Adolescent Brain and Cognitive Development (ABCD) Study, was composed of 21 study sites across the US and used baseline data collected from children 9 to 10 years of age from September 1, 2016, to October 15, 2018. Data analysis was performed from September 15, 2020, to June 30, 2021. Exposures Annual mean PM2.5 exposure estimated by ensemble-based models and assigned to the primary residential addresses at baseline. Main Outcomes and Measures Diffusion-weighted imaging (DWI) and tractography were used to delineate white matter tracts. The biophysical modeling technique of restriction spectrum imaging (RSI) was implemented to examine total hindered diffusion and restricted isotropic and anisotropic intracellular diffusion in each tract. Hierarchical mixed-effects models with natural splines were used to analyze the associations between PM2.5 exposure and DWI. Results In a study population of 7602 children (mean [SD] age, 119.1 [7.42] months; 3955 [52.0%] female; 160 [ 21.%] Asian, 1025 [13.5%] Black, 1616 [21.3%] Hispanic, 4025 [52.9%] White, and 774 [10.2%] other [identified by parents as American Indian/Native American or Alaska Native; Native Hawaiian, Guamanian, Samoan, other Pacific Islander; Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, or other Asian; or other race]), associations were seen between annual ambient PM2.5 and hemispheric differences in white matter microstructure. Hemisphere-stratified models revealed significant associations between PM2.5 exposure and restricted isotropic intracellular diffusion in the left cingulum, in the left superior longitudinal fasciculus, and bilaterally in the fornix and uncinate fasciculus. In tracts with strong positive associations, a PM2.5 increase from 8 to 12 μg/m3 was associated with increases of 2.16% (95% CI, 0.49%-3.84%) in the left cingulum, 1.95% (95% CI, 0.43%-3.47%) in the left uncinate, and 1.68% (95% CI, 0.01%-3.34%) in the right uncinate. Widespread negative associations were observed between PM2.5 and mean diffusivity. Conclusions and Relevance The findings of this cross-sectional study suggest that annual mean PM2.5 exposure during childhood is associated with increased restricted isotropic diffusion and decreased mean diffusivity of specific white matter tracts, potentially reflecting differences in the composition of white matter microarchitecture.
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Affiliation(s)
- Elisabeth Burnor
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Dora Cserbik
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Devyn L. Cotter
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Clare E. Palmer
- Center for Human Development, University of California, San Diego, La Jolla
| | - Hedyeh Ahmadi
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Sandrah P. Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Kiros Berhane
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
- Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Raymond Jackson
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
| | - Megan M. Herting
- Department of Population and Public Health Sciences, Keck School of Medicine of University of Southern California, Los Angeles
- Children’s Hospital Los Angeles, Los Angeles, California
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Nagata JM, Iyer P, Chu J, Baker FC, Gabriel KP, Garber AK, Murray SB, Bibbins-Domingo K, Ganson KT. Contemporary screen time usage among children 9-10-years-old is associated with higher body mass index percentile at 1-year follow-up: A prospective cohort study. Pediatr Obes 2021; 16:e12827. [PMID: 34180585 PMCID: PMC10044498 DOI: 10.1111/ijpo.12827] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 02/10/2021] [Revised: 04/21/2021] [Accepted: 06/09/2021] [Indexed: 01/12/2023]
Abstract
OBJECTIVE There is a paucity of prospective research exploring the relationship among contemporary screen time modalities (e.g., video streaming, video chatting, texting and social networking) and body mass index (BMI) percentile. The objective of this study was to determine the prospective associations between screen time behaviours in a large and demographically diverse population-based cohort of 9-10-year-old children and BMI percentile at 1-year follow-up. METHODS We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11 066). Multiple linear regression analyses were conducted to estimate associations between baseline screen time behaviours (exposure) and BMI percentile at 1-year follow-up, adjusting for race/ethnicity, sex, household income, parent education, depression, binge-eating disorder and baseline BMI percentile. RESULTS Each additional hour of total screen time per day was prospectively associated with a 0.22 higher BMI percentile at 1-year follow-up (95% CI 0.10-0.34) after adjusting for covariates. When examining specific screen time behaviours, each additional hour of texting (B = 0.92, 95% CI 0.29-1.55), video chat (B = 0.72, 95% CI 0.09-1.36) and video games (B = 0.42, 95% CI 0.06-0.78) was significantly prospectively associated with higher BMI percentile. CONCLUSIONS Screen time is prospectively associated with a higher BMI percentile 1 year later among children 9-10 years old.
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Affiliation(s)
- Jason M Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Puja Iyer
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Jonathan Chu
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, California, USA.,Department of Physiology, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Andrea K Garber
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Stuart B Murray
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, USA
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Kyle T Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
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Laird AR. Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use. Neuroimage 2021; 244:118579. [PMID: 34536537 DOI: 10.1016/j.neuroimage.2021.118579] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 08/27/2021] [Accepted: 09/14/2021] [Indexed: 12/19/2022] Open
Abstract
Large, open datasets have emerged as important resources in the field of human connectomics. In this review, the evolution of data sharing involving magnetic resonance imaging is described. A summary of the challenges and progress in conducting reproducible data analyses is provided, including description of recent progress made in the development of community guidelines and recommendations, software and data management tools, and initiatives to enhance training and education. Finally, this review concludes with a discussion of ethical conduct relevant to analyses of large, open datasets and a researcher's responsibility to prevent further stigmatization of historically marginalized racial and ethnic groups. Moving forward, future work should include an enhanced emphasis on the social determinants of health, which may further contextualize findings among diverse population-based samples. Leveraging the progress to date and guided by interdisciplinary collaborations, the future of connectomics promises to be an impressive era of innovative research, yielding a more inclusive understanding of brain structure and function.
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Lu J. Exploring the adoption of social media in self-paced physical activity in early childhood education: a case in central China. Educ Technol Res Dev 2021; 70:321-338. [PMID: 34785875 PMCID: PMC8582332 DOI: 10.1007/s11423-021-10059-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 10/18/2021] [Indexed: 06/13/2023]
Abstract
Social media web 2.0 technologies can be adopted as an inclusive method to assist children in enhancing their quality of education for the Sustainable Development Goals (e.g. SDGs 4 and 17). Social media technologies have been documented as low-cost, synchronous, and convenient methods to assist young children, parents, and early childhood (EC) teachers in communication and collaboration. However, few researchers have explored the potential usage of social media tools in enhancing children's physical activities in the early years, particularly during the pandemic period. This article uses the example of WeChat Sports, one of the most famous children's games supported by social media web 2.0, to explore the benefits, challenges, and potentialities of using them in ECE. This research uses semi-structured interviews to gain a deeper understanding of the attitudes and perspectives of EC teachers and parents on the potential usage of social media technologies in supporting children's physical activities. The results reveal that most participants had a good understanding of using scientific methods to assist children's physical development, however, they expressed concerns on children's health, privacy, and formal learning in terms of overexposure to social media technologies. Suggestions and implications are also provided for both social media application developers and educators in future research studies.
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Affiliation(s)
- Jinjin Lu
- Academy of Future Education, Department of Educational Studies, Xi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Industrial Park, Suzhou, 215123 Jiangsu Province People’s Republic of China
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Wade NE, Ortigara JM, Sullivan RM, Tomko RL, Breslin FJ, Baker FC, Fuemmeler BF, Delrahim Howlett K, Lisdahl KM, Marshall AT, Mason MJ, Neale MC, Squeglia LM, Wolff-Hughes DL, Tapert SF, Bagot KS. Passive Sensing of Preteens' Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy. JMIR Ment Health 2021; 8:e29426. [PMID: 34661541 PMCID: PMC8561413 DOI: 10.2196/29426] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/11/2021] [Accepted: 06/12/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Concerns abound regarding childhood smartphone use, but studies to date have largely relied on self-reported screen use. Self-reporting of screen use is known to be misreported by pediatric samples and their parents, limiting the accurate determination of the impact of screen use on social, emotional, and cognitive development. Thus, a more passive, objective measurement of smartphone screen use among children is needed. OBJECTIVE This study aims to passively sense smartphone screen use by time and types of apps used in a pilot sample of children and to assess the feasibility of passive sensing in a larger longitudinal sample. METHODS The Adolescent Brain Cognitive Development (ABCD) study used passive, objective phone app methods for assessing smartphone screen use over 4 weeks in 2019-2020 in a subsample of 67 participants (aged 11-12 years; 31/67, 46% female; 23/67, 34% White). Children and their parents both reported average smartphone screen use before and after the study period, and they completed a questionnaire regarding the acceptability of the study protocol. Descriptive statistics for smartphone screen use, app use, and protocol feasibility and acceptability were reviewed. Analyses of variance were run to assess differences in categorical app use by demographics. Self-report and parent report were correlated with passive sensing data. RESULTS Self-report of smartphone screen use was partly consistent with objective measurement (r=0.49), although objective data indicated that children used their phones more than they reported. Passive sensing revealed the most common types of apps used were for streaming (mean 1 hour 57 minutes per day, SD 1 hour 32 minutes), communication (mean 48 minutes per day, SD 1 hour 17 minutes), gaming (mean 41 minutes per day, SD 41 minutes), and social media (mean 36 minutes per day, SD 1 hour 7 minutes). Passive sensing of smartphone screen use was generally acceptable to children (43/62, 69%) and parents (53/62, 85%). CONCLUSIONS The results of passive, objective sensing suggest that children use their phones more than they self-report. Therefore, use of more robust methods for objective data collection is necessary and feasible in pediatric samples. These data may then more accurately reflect the impact of smartphone screen use on behavioral and emotional functioning. Accordingly, the ABCD study is implementing a passive sensing protocol in the full ABCD cohort. Taken together, passive assessment with a phone app provided objective, low-burden, novel, informative data about preteen smartphone screen use.
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Affiliation(s)
- Natasha E Wade
- University of California, San Diego, La Jolla, CA, United States
| | | | - Ryan M Sullivan
- University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Rachel L Tomko
- Medical University of South Carolina, Charleston, SC, United States
| | | | | | | | | | | | | | | | - Michael C Neale
- Virginia Commonwealth University, Richmond, VA, United States
| | | | | | - Susan F Tapert
- University of California, San Diego, La Jolla, CA, United States
| | - Kara S Bagot
- Icahn School of Medicine at Mount Sinai, New York, NY, United States
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Dick AS, Lopez DA, Watts AL, Heeringa S, Reuter C, Bartsch H, Fan CC, Kennedy DN, Palmer C, Marshall A, Haist F, Hawes S, Nichols TE, Barch DM, Jernigan TL, Garavan H, Grant S, Pariyadath V, Hoffman E, Neale M, Stuart EA, Paulus MP, Sher KJ, Thompson WK. Meaningful associations in the adolescent brain cognitive development study. Neuroimage 2021; 239:118262. [PMID: 34147629 PMCID: PMC8803401 DOI: 10.1016/j.neuroimage.2021.118262] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/07/2021] [Accepted: 06/10/2021] [Indexed: 02/08/2023] Open
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States. A cohort of n = 11,880 children aged 9-10 years (and their parents/guardians) were recruited across 22 sites and are being followed with in-person visits on an annual basis for at least 10 years. The study approximates the US population on several key sociodemographic variables, including sex, race, ethnicity, household income, and parental education. Data collected include assessments of health, mental health, substance use, culture and environment and neurocognition, as well as geocoded exposures, structural and functional magnetic resonance imaging (MRI), and whole-genome genotyping. Here, we describe the ABCD Study aims and design, as well as issues surrounding estimation of meaningful associations using its data, including population inferences, hypothesis testing, power and precision, control of covariates, interpretation of associations, and recommended best practices for reproducible research, analytical procedures and reporting of results.
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Affiliation(s)
- Anthony Steven Dick
- Department of Psychology and Center for Children and Families, Florida International University, Miami, FL, United States
| | - Daniel A Lopez
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14642, United States
| | - Ashley L Watts
- Department of Psychology, University of Missouri, MO, United States
| | - Steven Heeringa
- Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States
| | - Chase Reuter
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, United States
| | - Hauke Bartsch
- Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Chun Chieh Fan
- Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA 92093, United States
| | - David N Kennedy
- Department of Psychiatry, University of Massachusetts Medical School, MA United States, 01604
| | - Clare Palmer
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, United States
| | - Andrew Marshall
- Children's Hospital Los Angeles, and the Department of Pediatrics, University of Southern California, Los Angeles, CA, United States
| | - Frank Haist
- Department of Radiology, University of California, San Diego, La Jolla, CA 92093, United States
| | - Samuel Hawes
- Department of Psychology and Center for Children and Families, Florida International University, Miami, FL, United States
| | - Thomas E Nichols
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Deanna M Barch
- Departments of Psychological & Brain Sciences, Psychiatry and Radiology, Washington University, St. Louis, MO 63130, United States
| | - Terry L Jernigan
- Department of Psychiatry, University of Massachusetts Medical School, MA United States, 01604
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, 05405, United States
| | - Steven Grant
- Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States
| | - Vani Pariyadath
- Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior, National Institute on Drug Abuse, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States
| | - Elizabeth Hoffman
- National Institute on Drug Abuse, National Institutes of Health, Department of Heatlh and Human Services, Bethesda, MD, United States
| | - Michael Neale
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298, United States
| | - Elizabeth A Stuart
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Kenneth J Sher
- Department of Psychology, University of Missouri, MO, United States
| | - Wesley K Thompson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, United States; Population Neuroscience and Genetics Lab, University of California, San Diego, La Jolla, CA 92093, United States.
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Das SK, Miki AJ, Blanchard CM, Sazonov E, Gilhooly CH, Dey S, Wolk CB, Khoo CSH, Hill JO, Shook RP. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Adv Nutr 2021; 13:1-15. [PMID: 34545392 PMCID: PMC8803491 DOI: 10.1093/advances/nmab103] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/19/2021] [Accepted: 08/25/2021] [Indexed: 12/23/2022] Open
Abstract
The science and tools of measuring energy intake and output in humans have rapidly advanced in the last decade. Engineered devices such as wearables and sensors, software applications, and Web-based tools are now ubiquitous in both research and consumer environments. The assessment of energy expenditure in particular has progressed from reliance on self-report instruments to advanced technologies requiring collaboration across multiple disciplines, from optics to accelerometry. In contrast, assessing energy intake still heavily relies on self-report mechanisms. Although these tools have improved, moving from paper-based to online reporting, considerable room for refinement remains in existing tools, and great opportunities exist for novel, transformational tools, including those using spectroscopy and chemo-sensing. This report reviews the state of the science, and the opportunities and challenges in existing and emerging technologies, from the perspectives of 3 key stakeholders: researchers, users, and developers. Each stakeholder approaches these tools with unique requirements: researchers are concerned with validity, accuracy, data detail and abundance, and ethical use; users with ease of use and privacy; and developers with high adherence and utilization, intellectual property, licensing rights, and monetization. Cross-cutting concerns include frequent updating and integration of the food and nutrient databases on which assessments rely, improving accessibility and reducing disparities in use, and maintaining reliable technical assistance. These contextual challenges are discussed in terms of opportunities and further steps in the direction of personalized health.
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Affiliation(s)
| | - Akari J Miki
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Caroline M Blanchard
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Edward Sazonov
- Department of Electrical and Computer Engineering, University of Alabama, Tuscaloosa, AL, USA
| | - Cheryl H Gilhooly
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA,Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Sujit Dey
- Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Colton B Wolk
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Chor San H Khoo
- Institute for the Advancement of Food and Nutrition Sciences, Washington, DC, USA
| | - James O Hill
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, USA,Nutrition Obesity Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Robin P Shook
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Kansas City, Kansas City, MO, USA,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
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Kirlic N, Colaizzi JM, Cosgrove KT, Cohen ZP, Yeh HW, Breslin F, Morris AS, Aupperle RL, Singh MK, Paulus MP. Extracurricular Activities, Screen Media Activity, and Sleep May Be Modifiable Factors Related to Children's Cognitive Functioning: Evidence From the ABCD Study ®. Child Dev 2021; 92:2035-2052. [PMID: 33900639 PMCID: PMC8478798 DOI: 10.1111/cdev.13578] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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] [Indexed: 12/31/2022]
Abstract
This study used a machine learning framework in conjunction with a large battery of measures from 9,718 school-age children (ages 9-11) from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study to identify factors associated with fluid cognitive functioning (FCF), or the capacity to learn, solve problems, and adapt to novel situations. The identified algorithm explained 14.74% of the variance in FCF, replicating previously reported socioeconomic and mental health contributors to FCF, and adding novel and potentially modifiable contributors, including extracurricular involvement, screen media activity, and sleep duration. Pragmatic interventions targeting these contributors may enhance cognitive performance and protect against their negative impact on FCF in children.
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Affiliation(s)
| | | | | | | | - Hung-Wen Yeh
- Laureate Institute for Brain Research
- Children's Mercy Hospital
| | | | - Amanda S Morris
- Laureate Institute for Brain Research
- Oklahoma State University
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43
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Fonseka LN, Woo BK. Consumer Wearables and the Integration of New Objective Measures in Oncology: Patient and Provider Perspectives. JMIR Mhealth Uhealth 2021; 9:e28664. [PMID: 34264191 PMCID: PMC8323022 DOI: 10.2196/28664] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/12/2021] [Accepted: 06/11/2021] [Indexed: 12/15/2022] Open
Abstract
With one in five adults in the United States owning a smartwatch or fitness tracker, these devices are poised to impact all aspects of medicine by offering a more objective approach to replace self-reported data. Oncology has proved to be a prototypical example, and wearables offer immediate benefits to patients and oncologists with the ability to track symptoms and health metrics in real time. We aimed to review the recent literature on consumer-grade wearables and its current applications in cancer from the perspective of both the patient and the provider. The relevant studies suggested that these devices offer benefits, such as improved medication adherence and accuracy of symptom tracking over self-reported data, as well as insights that increase patient empowerment. Physical activity is consistently correlated with stronger patient outcomes, and a patient's real-time metrics were found to be capable of tracking medication side effects and toxicity. Studies have made associations between wearable data and telomere shortening, cardiovascular disease, alcohol consumption, sleep apnea, and other conditions. The objective data obtained by the wearable presents a more complete picture of an individual's health than the snapshot of a 15-minute office visit and a single set of vital signs. Real-time metrics can be translated into a digital phenotype that identifies risk factors specific to each patient, and shared risk factors across one's social network may uncover common environmental exposures detrimental to one's health. Wearable data and its upcoming integration with social media will be the foundation for the next generation of personalized medicine.
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Affiliation(s)
- Lakshan N Fonseka
- College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA, United States
| | - Benjamin Kp Woo
- Olive View-University of California, Los Angeles Medical Center, Sylmar, CA, United States
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44
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Nagata JM, Iyer P, Chu J, Baker FC, Pettee Gabriel K, Garber AK, Murray SB, Bibbins-Domingo K, Ganson KT. Contemporary screen time modalities among children 9-10 years old and binge-eating disorder at one-year follow-up: A prospective cohort study. Int J Eat Disord 2021; 54:887-892. [PMID: 33646623 PMCID: PMC9714253 DOI: 10.1002/eat.23489] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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: 12/18/2020] [Revised: 01/29/2021] [Accepted: 02/08/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To determine the prospective associations between contemporary screen time modalities in a nationally representative cohort of 9-10-year-old children and binge-eating disorder at one-year follow-up. METHOD We analyzed prospective cohort data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 11,025). Logistic regression analyses were conducted to estimate associations between baseline child-reported screen time (exposure) and parent-reported binge-eating disorder based on the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5, outcome) at one-year follow-up, adjusting for race/ethnicity, sex, household income, parent education, BMI percentile, site, and baseline binge-eating disorder. RESULTS Each additional hour of total screen time per day was prospectively associated with 1.11 higher odds of binge-eating disorder at 1-year follow-up (95% CI 1.05-1.18) after adjusting for covariates. In particular, each additional hour of social networking (aOR 1.62, 95% CI 1.18-2.22), texting (aOR 1.40, 95% CI 1.08-1.82), and watching/streaming television shows/movies (aOR 1.39, 95% CI 1.14-1.69) was significantly associated with binge-eating disorder. DISCUSSION Clinicians should assess screen time usage and binge eating in children and adolescents and advise parents about the potential risks associated with excessive screen time.
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Affiliation(s)
- Jason M. Nagata
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Puja Iyer
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Jonathan Chu
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Fiona C. Baker
- Biosciences Division, Center for Health Sciences, SRI International, Menlo Park, California, USA,Department of Physiology, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Kelley Pettee Gabriel
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Andrea K. Garber
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Stuart B. Murray
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, USA
| | - Kirsten Bibbins-Domingo
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Kyle T. Ganson
- Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada
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45
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Platt JM, Bates L, Jager J, McLaughlin KA, Keyes KM. Is the US Gender Gap in Depression Changing Over Time? A Meta-Regression. Am J Epidemiol 2021; 190:1190-1206. [PMID: 33423055 PMCID: PMC8484777 DOI: 10.1093/aje/kwab002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 09/28/2020] [Accepted: 10/06/2020] [Indexed: 01/19/2023] Open
Abstract
The depression gap refers to higher rates of depression among women than men. Change in the depression gap over time might elucidate social causes of this disparity-such as unequal college attendance or employment status. We conducted a meta-regression analysis to estimate variation in the depression gap over time by age, accounting for potential sources of variation between studies. Electronic databases and bibliographies were searched for English-language studies from January 1980 through October 2019; 144 independent estimates from US-representative samples met selection criteria (n = 813,189). The depression gap was summarized as prevalence ratios among studies using diagnostic instruments and as standardized mean differences among symptom-based studies. Primary study measures were baseline study year (range, 1982-2017) and age (age groups ranging, in years, from 10-59 and 60 or older). Compared with respondents aged ≥60 years, depression prevalence was greater among respondents aged 10-19 (prevalence ratio = 1.26, 95% confidence interval: 1.02, 1.56). Over time, the depression gap did not change among adults, but it increased among adolescents (age-by-time interaction prevalence ratio = 1.05, 95% confidence interval: 1.01, 1.08). Results were similar for symptom-based studies. The present study finds no evidence of a change in the depression gender gap for US adults; however, the gap increased among adolescents. Greater attention to factors driving this widening disparity in adolescent depression is needed.
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Affiliation(s)
- Jonathan M Platt
- Correspondence to Dr. Jonathan M. Platt, Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, New York, NY 10032 (e-mail: )
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Domoff SE, Banga CA, Borgen AL, Foley RP, Robinson C, Avery K, Gentile DA. Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the
eMoodie
application. Human Behav and Emerg Tech 2021. [DOI: 10.1002/hbe2.247] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Sarah E. Domoff
- Department of Psychology Central Michigan University Mount Pleasant Michigan USA
| | - Claire Ann Banga
- Department of Clinical Psychology University of Edinburgh Edinburgh Scotland
| | - Aubrey L. Borgen
- Department of Psychology Central Michigan University Mount Pleasant Michigan USA
| | - Ryan P. Foley
- Department of Psychology Central Michigan University Mount Pleasant Michigan USA
| | - Chelsea Robinson
- Department of Epidemiology and Biostatistics Michigan State University East Lansing Michigan USA
| | - Katie Avery
- Department of Psychology Central Michigan University Mount Pleasant Michigan USA
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Karcher NR, Barch DM. The ABCD study: understanding the development of risk for mental and physical health outcomes. Neuropsychopharmacology 2021; 46:131-142. [PMID: 32541809 PMCID: PMC7304245 DOI: 10.1038/s41386-020-0736-6] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/04/2020] [Accepted: 06/08/2020] [Indexed: 12/19/2022]
Abstract
Following in the footsteps of other large "population neuroscience" studies, the Adolescent Brain Cognitive Development℠ (ABCD) study is the largest in the U.S. assessing brain development. The study is examining approximately 11,875 youth from 21 sites from age 9 to 10 for approximately ten years into young adulthood. The ABCD Study® has completed recruitment for the baseline sample generally using a multi-stage probability sample including a stratified random sample of schools. The dataset has a wealth of measured attributes of youths and their environment, including neuroimaging, cognitive, biospecimen, behavioral, youth self-report and parent self-report metrics, and environmental measures. The initial goal of the ABCD Study was to examine risk and resiliency factors associated with the development of substance use, but the project has expanded far beyond this initial set of questions and will also greatly inform our understanding of the contributions of biospecimens (e.g., pubertal hormones), neural alterations, and environmental factors to the development of both healthy behavior and brain function as well as risk for poor mental and physical outcomes. This review outlines how the ABCD Study was designed to elucidate factors associated with the development of negative mental and physical health outcomes and will provide a selective overview of results emerging from the ABCD Study. Such emerging data includes initial validation of new instruments, important new information about the prevalence and correlates of mental health challenges in middle childhood, and promising data regarding neural correlates of both healthy and disordered behavior. In addition, we will discuss the challenges and opportunities to understanding both healthy development and the emergence of risk from ABCD Study data. Finally, we will overview the future directions of this large undertaking and the ways in which it will shape our understanding of the development of risk for poor mental and physical health outcomes.
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Affiliation(s)
- Nicole R Karcher
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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Dunster GP, Swendsen J, Merikangas KR. Real-time mobile monitoring of bipolar disorder: a review of evidence and future directions. Neuropsychopharmacology 2021; 46:197-208. [PMID: 32919408 PMCID: PMC7688933 DOI: 10.1038/s41386-020-00830-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [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: 05/22/2020] [Revised: 07/17/2020] [Accepted: 07/30/2020] [Indexed: 02/07/2023]
Abstract
Rapidly accumulating data from mobile assessments are facilitating our ability to track patterns of emotions, behaviors, biologic rhythms, and their contextual influences in real time. These approaches have been widely applied to study the core features, traits, changes in states, and the impact of treatments in bipolar disorder (BD). This paper reviews recent evidence on the application of both passive and active mobile technologies to gain insight into the role of the circadian system and patterns of sleep and motor activity in people with BD. Findings of more than two dozen studies converge in demonstrating a broad range of sleep disturbances, particularly longer duration and variability of sleep patterns, lower average and greater variability of motor activity, and a shift to later peak activity and sleep midpoint, indicative of greater evening orientation among people with BD. The strong associations across the domains tapped by real-time monitoring suggest that future research should shift focus on sleep, physical/motor activity, or circadian patterns to identify common biologic pathways that influence their interrelations. The development of novel data-driven functional analytic tools has enabled the derivation of individualized multilevel dynamic representations of rhythms of multiple homeostatic regulatory systems. These multimodal tools can inform clinical research through identifying heterogeneity of the manifestations of BD and provide more objective indices of treatment response in real-world settings. Collaborative efforts with common protocols for the application of multimodal sensor technology will facilitate our ability to gain deeper insight into mechanisms and multisystem dynamics, as well as environmental, physiologic, and genetic correlates of BD.
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Affiliation(s)
- Gideon P. Dunster
- grid.416868.50000 0004 0464 0574Intramural Research Program, National Institute of Mental Health, Bethesda, MD USA
| | - Joel Swendsen
- grid.412041.20000 0001 2106 639XUniversity of Bordeaux, National Center for Scientific Research; EPHE PSL Research University, Bordeaux, France
| | - Kathleen Ries Merikangas
- Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA. .,Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Cserbik D, Chen JC, McConnell R, Berhane K, Sowell ER, Schwartz J, Hackman DA, Kan E, Fan CC, Herting MM. Fine particulate matter exposure during childhood relates to hemispheric-specific differences in brain structure. Environ Int 2020; 143:105933. [PMID: 32659528 PMCID: PMC7708513 DOI: 10.1016/j.envint.2020.105933] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 06/23/2020] [Accepted: 06/26/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND Emerging findings have increased concern that exposure to fine particulate matter air pollution (aerodynamic diameter ≤ 2.5 μm; PM2.5) may be neurotoxic, even at lower levels of exposure. Yet, additional studies are needed to determine if exposure to current PM2.5 levels may be linked to hemispheric and regional patterns of brain development in children across the United States. OBJECTIVES We examined the cross-sectional associations between geocoded measures of concurrent annual average outdoor PM2.5 exposure, regional- and hemisphere-specific differences in brain morphometry and cognition in 10,343 9- and 10- year-old children. METHODS High-resolution structural T1-weighted brain magnetic resonance imaging (MRI) and NIH Toolbox measures of cognition were collected from children at ages 9-10 years. FreeSurfer was used to quantify cortical surface area, cortical thickness, as well as subcortical and cerebellum volumes in each hemisphere. PM2.5 concentrations were estimated using an ensemble-based model approach and assigned to each child's primary residential address collected at the study visit. We used mixed-effects models to examine regional- and hemispheric- effects of PM2.5 exposure on brain estimates and cognition after considering nesting of participants by familial relationships and study site, adjustment for socio-demographic factors and multiple comparisons. RESULTS Annual residential PM2.5 exposure (7.63 ± 1.57 µg/m3) was associated with hemispheric specific differences in gray matter across cortical regions of the frontal, parietal, temporal and occipital lobes as well as subcortical and cerebellum brain regions. There were hemispheric-specific associations between PM2.5 exposures and cortical surface area in 9/31 regions; cortical thickness in 22/27 regions; and volumes of the thalamus, pallidum, and nucleus accumbens. We found neither significant associations between PM2.5 and task performance on individual measures of neurocognition nor evidence that sex moderated the observed associations. DISCUSSION Even at relatively low-levels, current PM2.5 exposure across the U.S. may be an important environmental factor influencing patterns of structural brain development in childhood. Prospective follow-up of this cohort will help determine how current levels of PM2.5 exposure may affect brain development and subsequent risk for cognitive and emotional problems across adolescence.
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Affiliation(s)
- Dora Cserbik
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Jiu-Chiuan Chen
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA; Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Rob McConnell
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA
| | - Kiros Berhane
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Elizabeth R Sowell
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Children's Hospital Los Angeles, Los Angeles, CA 90027, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Daniel A Hackman
- USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA 90089, USA
| | - Eric Kan
- Children's Hospital Los Angeles, Los Angeles, CA 90027, USA
| | - Chun C Fan
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, USA
| | - Megan M Herting
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90063, USA; Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
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