Current, future and potential use of mobile and wearable technologies and social media data in the ABCD study to increase understanding of contributors to child health

Community detection in graphs

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Statistical physics of social dynamics

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Fit Yourself and Take Your Lungs to Heart

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The Centrality Index of a Graph

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A survey of mobile phone sensing

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Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

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The Impact of Social Media on Children, Adolescents, and Families

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Neighborhoods and Health

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Community Structure in Directed Networks

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Social network activity and social well-being

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Online communication, social media and adolescent wellbeing: A systematic narrative review

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Centrality in valued graphs: A measure of betweenness based on network flow

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Behavioral science at the crossroads in public health: Extending horizons, envisioning the future

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Physical Activity Assessment With Accelerometers: An Evaluation Against Doubly Labeled Water

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Feeling bad on Facebook: depression disclosures by college students on a social networking site

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Assessment of physical activity – a review of methodologies with reference to epidemiological research: A report of the exercise physiology section of the European association of cardiovascular prevention and rehabilitation

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Association between Traffic-Related Air Pollution in Schools and Cognitive Development in Primary School Children: A Prospective Cohort Study

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Exposure to air pollution and cognitive functioning across the life course – A systematic literature review

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Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.

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Fitbit®: An accurate and reliable device for wireless physical activity tracking

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Ethics of Social Media Research: Common Concerns and Practical Considerations

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Adolescent Insomnia as a Risk Factor for Early Adult Depression and Substance Abuse

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A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems

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Prenatal Polycyclic Aromatic Hydrocarbon (PAH) Exposure and Child Behavior at Age 6–7 Years

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Effects of Prenatal Exposure to Air Pollutants (Polycyclic Aromatic Hydrocarbons) on the Development of Brain White Matter, Cognition, and Behavior in Later Childhood

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Sleep and Risk-Taking Behavior in Adolescents

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Compliance with mobile ecological momentary assessment protocols in children and adolescents: a systematic review and meta-analysis

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Prenatal Exposure to Airborne Polycyclic Aromatic Hydrocarbons and Children’s Intelligence at 5 Years of Age in a Prospective Cohort Study in Poland

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Accelerometers and pedometers: methodology and clinical application

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Measuring segregation: an activity space approach

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Classification Accuracies of Physical Activities Using Smartphone Motion Sensors

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Sleepless in adolescence: Prospective data on sleep deprivation, health and functioning

ROBERTS, R. E., Roberts, C. R., & Duong, H. T. (2009) · Journal of Adolescence · doi:10.1016/j.adolescence.2009.03.007 · Cited by 316 · see citing works

Reliability of Sleep Measures from Four Personal Health Monitoring Devices Compared to Research-Based Actigraphy and Polysomnography

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Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule

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A review of the efficacy and effectiveness of harm reduction strategies for alcohol, tobacco and illicit drugs

Ritter, A. J., & Cameron, J. (2006) · Drug and Alcohol Review · doi:10.1080/09595230600944529 · Cited by 301 · see citing works

Measures of sleep and cardiac functioning during sleep using a multi-sensory commercially-available wristband in adolescents

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Unhealthy Places: The Ecology of Risk in the Urban Landscape

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Spatial Polygamy and Contextual Exposures (SPACEs)

Matthews, S. A., & Yang, T. (2013) · American Behavioral Scientist · doi:10.1177/0002764213487345 · Cited by 210 · see citing works

Adolescent Sleep, Risk Behaviors, and Depressive Symptoms: Are They Linked?

Pasch, K. (2010) · American Journal of Health Behavior · doi:10.5993/ajhb.34.2.11 · Cited by 196 · see citing works

Neighborhoods, daily activities, and measuring health risks experienced in urban environments

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The Pace of Technologic Change

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Early-Life Exposure to Polycyclic Aromatic Hydrocarbons and ADHD Behavior Problems

Perera, F. P., Chang, H.-W., Tang, D. L., Roen, E. L., Herbstman, J. B., Margolis, A. E., Huang, T.-J., Miller, R. L., Wang, S., & Rauh, V. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111670 · Cited by 165 · see citing works

Validation of Sleep-Tracking Technology Compared with Polysomnography in Adolescents

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Text messaging interventions for adolescent and young adult substance use: a meta-analysis

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Depression and insomnia among adolescents: A prospective perspective

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Opportunities and challenges in the use of personal health data for health research

Bietz, M. J., Bloss, C. S., Calvert, S., Godino, J. G., Gregory, J., Claffey, M. P., Sheehan, J., & Patrick, K. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv118 · Cited by 148 · see citing works

A wearable biochemical sensor for monitoring alcohol consumption lifestyle through Ethyl glucuronide (EtG) detection in human sweat

Selvam, A. P., Muthukumar, S., Kamakoti, V., & Prasad, S. (2016) · Scientific Reports · doi:10.1038/srep23111 · Cited by 143 · see citing works

Environmental toxicity and poor cognitive outcomes in children and adults.

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Comparison of Commercial Wrist-Based and Smartphone Accelerometers, Actigraphy, and PSG in a Clinical Cohort of Children and Adolescents

Toon, E., Davey, M. J., Hollis, S. L., Nixon, G. M., Horne, R. S. C., & Biggs, S. N. (2016) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.5580 · Cited by 142 · see citing works

Moving Beyond Neighborhood: Activity Spaces and Ecological Networks As Contexts for Youth Development

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Comparison of Electronic Data Capture (EDC) with the Standard Data Capture Method for Clinical Trial Data

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Traffic, Air Pollution, Minority and Socio-Economic Status: Addressing Inequities in Exposure and Risk

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Mapping Health Data: Improved Privacy Protection With Donut Method Geomasking

Hampton, K. H., Fitch, M. K., Allshouse, W. B., Doherty, I. A., Gesink, D., Leone, P. A., Serre, M. L., & Miller, W. C. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq248 · Cited by 133 · see citing works

Dynamic assessment of exposure to air pollution using mobile phone data

Dewulf, B., Neutens, T., Lefebvre, W., Seynaeve, G., Vanpoucke, C., Beckx, C., & de Weghe, N. V. (2016) · International Journal of Health Geographics · doi:10.1186/s12942-016-0042-z · Cited by 133 · see citing works

Associations between Traffic-Related Black Carbon Exposure and Attention in a Prospective Birth Cohort of Urban Children

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puffMarker

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Behavioral Indicators on a mobile sensing platform predict clinically validated psychiatric symptoms of mood and anxiety disorders

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Choosing a centrality measure: Epidemiologic correlates in the Colorado Springs study of social networks

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A randomized study of cell phone technology to reinforce alcohol abstinence in the natural environment

Alessi, S. M., & Petry, N. (2013) · Addiction · doi:10.1111/add.12093 · Cited by 118 · see citing works

Neighborhoods and Health

Kaufman, J. S., & Messer, L. C. (2004) · Epidemiology · doi:10.1097/01.ede.0000121553.93692.6c · Cited by 117 · see citing works

The Use of Cell Phone Support for Non-adherent HIV-Infected Youth and Young Adults: An Initial Randomized and Controlled Intervention Trial

Belzer, M., Naar-king, S., Olson, J., Sarr, M., Thornton, S. E., Kahana, S. Y., Gaur, A., Clark, L., & The Adolescent Medicine Trials Network for Hivaids Interventions (2014) · Aids and Behavior · doi:10.1007/s10461-013-0661-3 · Cited by 115 · see citing works

The Impact of Health Education Transmitted Via Social Media or Text Messaging on Adolescent and Young Adult Risky Sexual Behavior

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Environmental Health: From Global to Local

Goldstein, B. D. (2006) · Environmental Health Perspectives · doi:10.1289/ehp.114-a672a · Cited by 112 · see citing works

Bootstrap approach for constructing confidence intervals for population pharmacokinetic parameters. I: a use of bootstrap standard error

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Turnout in a Small World

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Adolescent Initiation of Cannabis use and Early-Onset Psychosis

Bagot, K. S., Milin, R., & Kaminer, Y. (2015) · Substance Abuse · doi:10.1080/08897077.2014.995332 · Cited by 105 · see citing works

Real-Time Mobile Detection of Drug Use with Wearable Biosensors: A Pilot Study

Carreiro, S., Smelson, D. A., Ranney, M. L., Horvath, K. J., Picard, R. W., Boudreaux, E. D., Hayes, R. B., & Boyer, E. W. (2014) · Journal of Medical Toxicology · doi:10.1007/s13181-014-0439-7 · Cited by 98 · see citing works

Sleep and use of alcohol and drug in adolescence. A large population-based study of Norwegian adolescents aged 16 to 19 years

Sivertsen, B., Skogen, J. C., Jakobsen, R., & Hysing, M. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.01.045 · Cited by 83 · see citing works

Modeling Dynamical Influence in Human Interaction: Using data to make better inferences about influence within social systems

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A Feasibility Study of Wearable Activity Monitors for Pre-Adolescent School-Age Children

Schaefer, S. E., Loan, M. V., & German, J. B. (2014) · Preventing Chronic Disease · doi:10.5888/pcd11.130262 · Cited by 81 · see citing works

CitiSense

Nikzad, N., Verma, N., Ziftci, C., Bales, E., Quick, N., Zappi, P., Patrick, K., Dasgupta, S., Krueger, I., Simunic, T., et al. (2012) · Wireless Health · doi:10.1145/2448096.2448107 · Cited by 81 · see citing works

Longitudinal effects of prenatal exposure to air pollutants on self‐regulatory capacities and social competence

Margolis, A. E., Herbstman, J. B., Davis, K. S., Thomas, V. K., Tang, D. L., Wang, Y., Wang, S., Perera, F. P., Peterson, B. S., & Rauh, V. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12548 · Cited by 81 · see citing works

Geomasking sensitive health data and privacy protection: an evaluation using an E911 database

Allshouse, W. B., Fitch, M. K., Hampton, K. H., Gesink, D., Doherty, I. A., Leone, P. A., Serre, M. L., & Miller, W. C. (2010) · Geocarto International · doi:10.1080/10106049.2010.496496 · Cited by 80 · see citing works

Parental Influence on Substance Use in Adolescent Social Networks

Shakya, H. B., Christakis, N. A., & Fowler, J. H. (2012) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2012.1372 · Cited by 78 · see citing works

Associations among sleep problems, learning difficulties and substance use in adolescence

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A randomized controlled trial of smartphone-based mindfulness training for smoking cessation: a study protocol

Garrison, K. A., Pal, P., Rojiani, R., Dallery, J., O’Malley, S. S., & Brewer, J. A. (2015) · BMC Psychiatry · doi:10.1186/s12888-015-0468-z · Cited by 74 · see citing works

Privacy and spatial pattern preservation in masked GPS trajectory data

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Revealing the spatial distribution of a disease while preserving privacy

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iMStrong: Deployment of a Biosensor System to Detect Cocaine Use

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Mobile phone tracking: in support of modelling traffic-related air pollution contribution to individual exposure and its implications for public health impact assessment

Liu, H.-Y., Skjetne, E., & Kobernus, M. (2013) · Environmental Health · doi:10.1186/1476-069x-12-93 · Cited by 63 · see citing works

Text Messaging Intervention for Teens and Young Adults With Diabetes

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Activity spaces and urban adolescent substance use and emotional health

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Investigating the utility of mobile phones for collecting data about adolescent alcohol use and related mood, stress and coping behaviours: Lessons and recommendations

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Teenagers and Texting: Use of a Youth Ecological Momentary Assessment System in Trajectory Health Research With Latina Adolescents

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Ecological Momentary Assessment and Smartphone Application Intervention in Adolescents with Substance Use and Comorbid Severe Psychiatric Disorders: Study Protocol

Benarous, X., Edel, Y., Consoli, A., Brunelle, J., Etter, J., Cohen, D., & Khazaal, Y. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00157 · Cited by 35 · see citing works

The Long Arm of Poverty: Extended and Relational Geographies of Child Victimization and Neighborhood Violence Exposures

Graif, C., & Matthews, S. A. (2017) · Justice Quarterly · doi:10.1080/07418825.2016.1276951 · Cited by 35 · see citing works

Spatial variation in particulate matter components over a large urban area

Fruin, S. A., Urman, R., Lurmann, F. W., McConnell, R., Gauderman, J. W., Rappaport, E. B., Franklin, M., Gilliland, F. D., Shafer, M. M., Gorski, P. R., et al. (2013) · Atmospheric Environment · doi:10.1016/j.atmosenv.2013.10.063 · Cited by 33 · see citing works

Confidentiality considerations for use of social-spatial data on the social determinants of health: Sexual and reproductive health case study

Haley, D. F., Matthews, S. A., Cooper, H. L. F., Haardörfer, R., Adimora, A. A., Wingood, G. M., & Kramer, M. R. (2016) · Social Science & Medicine · doi:10.1016/j.socscimed.2016.08.009 · Cited by 29 · see citing works

A Randomized Trial of Adjunct mHealth Abstinence Reinforcement With Transdermal Nicotine and Counseling for Smoking Cessation

Alessi, S. M., Rash, C. J., & Petry, N. M. (2016) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntw155 · Cited by 26 · see citing works

Electronic patient-reported outcomes for collecting sensitive information from patients.

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puffMarker: A Multi-Sensor Approach for Pinpointing the Timing of First Lapse in Smoking Cessation

Saleheen, N., Ali, A. A., Hossain, S. M., Sarker, H., Chatterjee, S., Marlin, B., Ertin, E., al’Absi, M., & Kumar, S. (2015) · Europe PMC (PubMed Central) · Cited by 21 · see citing works

Girls’ Tobacco and Alcohol Use During Early Adolescence: Prediction From Trajectories of Depressive Symptoms Across Two Studies

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Determinants of the spatial distributions of elemental carbon and particulate matter in eight Southern Californian communities

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Relationship between cognitive abilities and mental health as represented by cognitive abilities at the neural and genetic levels of analysisPreprint

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Gender diversity and daily steps: Findings from the Adolescent Brain Cognitive Development Study

Nagata, J. M., Sui, S. S., Kim, A. E., Shao, I. Y., Otmar, C. D., Ganson, K. T., Testa, A. M., Dooley, E. E., Gooding, H. C., Baker, F. C., et al. (2024) · Annals of Epidemiology · doi:10.1016/j.annepidem.2024.11.004 · Cited by 7 · see citing works

Lower daily steps among U.S. adolescents during the COVID-19 pandemic: Objective findings from the Adolescent Brain Cognitive Development Study

Nagata, J. M., Yu, J., Dooley, E. E., Baker, F. C., Alsamman, S., Wing, D., Ganson, K. T., & Gabriel, K. P. (2022) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2022.102095 · Cited by 7 · see citing works

Investigating Cumulative Exposures among 3- to 4-Year-Old Children Using Wearable Ultrafine Particle Sensors and Language Environment Devices: A Pilot and Feasibility Study

Schultz, A., Malecki, K. M. C., Olson, M. M., Selman, S. B., Olaiya, O., Spicer, A. B., Schauer, J. J., Edwards, R., Kirkorian, H. L., & Dilworth‐Bart, J. E. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17145259 · Cited by 7 · see citing works

Emotion Regulation Flexibility and Electronic Patient-Reported Outcomes: A Framework for Understanding Symptoms and Affect Dynamics in Pediatric Psycho-Oncology

Mirzaie, K., Burns-Gebhart, A., Meyerheim, M., Sander, A., & Graf, N. M. (2022) · Cancers · doi:10.3390/cancers14163874 · Cited by 7 · see citing works

Identification and characterization of screen use trajectories from late childhood to adolescence in a US-population based cohort study

Shao, I. Y., Yang, J. H., Ganson, K. T., Baker, F. C., & Nagata, J. M. (2023) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2023.102428 · Cited by 6 · see citing works

CONCEPTUALIZING MOBILE DIGITAL LITERACY SKILLS FOR EDUCATORS

Jahoor, F., Botha, A., & Herselman, M. E. (2020) · IADIS International Conference on Mobile Learning · doi:10.33965/ml2020_202004l007 · Cited by 6 · see citing works

Exploring the associations between the presence, characteristics, and biopsychosocial covariates of pain and lifetime depression in adolescents: A cross-sectional ABCD study analysis

Tagliaferri, S. D., Nguyen, J., Han, L. K. M., Cotton, S., Menssink, J. M., Ratheesh, A., Noel, M. E., & Schmaal, L. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.12.025 · Cited by 5 · see citing works

Physical Activity and Sedentary Time Among U.S. Adolescents Before and During COVID-19: Findings From a Large Cohort Study

Hunt, E. T., Brazendale, K., de Moraes, A. C. F., Malkani, R. I., Heredia, N. I., Pfledderer, C. D., Brown, D. M. Y., Hoelscher, D. M., Beets, M. W., & Weaver, R. G. (2024) · AJPM Focus · doi:10.1016/j.focus.2024.100253 · Cited by 5 · see citing works

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Ng, M. Y., Frederick, J., Fisher, A. J., Allen, N. B., Pettit, J. W., & McMakin, D. L. (2024) · JMIR Research Protocols · doi:10.2196/43931 · Cited by 5 · see citing works

Navigating ethical challenges in psychological research involving digital remote technologies and people who use alcohol or drugs.

Roberts, W., McKee, S. A., Miranda, R., & Barnett, N. P. (2024) · American Psychologist · doi:10.1037/amp0001193 · Cited by 5 · see citing works

Somatomotor Disconnection Links Sleep Duration With Socioeconomic Context, Screen Time, Cognition, and Psychopathology

Michael, C., Taxali, A., Angstadt, M., McCurry, K. L., Weigard, A. S., Kardan, O., Molloy, M. F., Toda-Thorne, K., Burchell, L., Dziubinski, M., et al. (2025) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2025.100522 · Cited by 4 · see citing works

Neurodevelopmental Profiles in Adolescence: Leveraging Data From the Landmark Adolescent Brain Cognitive Development Study

Mewton, L. R., & Squeglia, L. M. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.01.005 · Cited by 4 · see citing works

Exploring Ethical Issues with Using Wearable Technology in K-12 Classrooms: A Review of the Literature

Jovanovic, P., & Kay, R. H. (2023) · Journal of Digital Life and Learning · doi:10.51357/jdll.v2i2.203 · Cited by 4 · see citing works

Preliminary findings on caffeine intake, screen time, social factors, and psychological well-being: their impact on chronotype and sleep health in Hispanic adolescents

Wallace, A. L., Aguinaldo, L. D., Thomas, M. L., McCarthy, M. J., & Meruelo, A. D. (2025) · SLEEP Advances · doi:10.1093/sleepadvances/zpaf019 · Cited by 6 · see citing works

Genetics, imaging, and cognition

Whelan, R., Cao, Z., O’Halloran, L., & Pennie, B. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815298-0.00027-7 · Cited by 4 · see citing works

Evaluating Fitbits for Assessment of Physical Activity and Sleep in Pediatric Pain: Feasibility and Acceptability Pilot Study

Nestor, B. A., Baumer, A. M., Chimoff, J., Delecourt, B., Koike, C., Tacugue, N., Brusseau, R. R., Roy, N., Fuentes, I. A. G., Sethna, N. F., et al. (2025) · JMIR Formative Research · doi:10.2196/59074 · Cited by 3 · see citing works

Personalised modelling of routine variability and affective states

Choi, A., Lottridge, D. M., & Warren, J. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01979-3 · Cited by 3 · see citing works

Associations of adolescent social media use trajectories with spatial and verbal memory: a prospective cohort study

Nagata, J. M., Wong, J. H., Kim, K. E., Nayak, S., Li, E. J., Richardson, R. A., Rauschecker, A. M., Sugrue, L. P., Ganson, K. T., Piatkowski, T. M., et al. (2026) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2026.101454 · Cited by 3 · see citing works

The Responsible Implementation of Artificial Intelligence in Childcare

Guérin, R. N., Hofmeijer, E. I. S., Kester, L. M., & Sensmeier, L. W. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-52082-2_8 · Cited by 3 · see citing works

Cannabis expectancies mediate the association between social media use and cannabis experimentation in early adolescents: A prospective cohort study

Nagata, J. M., Caffrey, A., Nguyen, N. D., Nayak, S., Frimpong, I., Helmer, C. K., Ricklefs, C., Al-Shoaibi, A. A. A., Testa, A. M., Brindis, C. D., et al. (2025) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2025.112947 · Cited by 3 · see citing works

Android game implementation in health learning for early childhood education

Purnomo, F. A., Pratisto, E. H., & Alin, A. Y. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1511/1/012011 · Cited by 3 · see citing works

The relationship between cognitive abilities and mental health as represented by cognitive abilities at the neural and genetic levels of analysisPreprint

Wang, Y., Anney, R., & Pornpattananangkul, N. (2025) · eLife · doi:10.7554/elife.105537.2 · Cited by 3 · see citing works

Prospective associations between media parenting practices and adolescent video game use

Nagata, J. M., Sportsman, D., Wong, J. H., Nayak, S., Li, E. J., Ganson, K. T., Piatkowski, T. M., He, J., Testa, A. M., & Baker, F. C. (2026) · World Journal of Pediatrics · doi:10.1007/s12519-025-01009-y · Cited by 2 · see citing works

A systematic review of digital and wearable sensor data in the ABCD study: Insights, methods, and emerging opportunities

Alexander, J. D., Mills, S., Sumpter, K., Smith, C. J., Das, B., Fan, R., Hunt, E. T., Brown, S. A., Curtis, B. L., Cummins, K. M., et al. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101826

Preview of the Adolescent Brain Cognitive Development (ABCD) Study Release 3.0

Hatton, S. N. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.303 · Cited by 7 · see citing works

Building towards an adolescent neural urbanome: Expanding environmental measures using linked external data (LED) in the ABCD study

Cardenas‐Iniguez, C., Schachner, J. N., Ip, K. I., Schertz, K. E., Gonzalez, M. R., Abad, S., & Herting, M. M. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101338 · Cited by 50 · see citing works

Improving health through research: The ABCD Study(R) perspective

Nickel, K., Alkire, D. R., Haroon, A., Drell, M. B., Hausmann, C., Gonzalez, M. R., Brown, S. A., & Dowling, G. J. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101799

The ABCD Study at 10: The NIH perspective on progress, impact, and the road ahead

Volkow, N. D., Koob, G. F., Klein, W. M., Hobin, J. A., Wargo, E. M., Alkire, D. R., Hoffman, E. A., Weiss, S. R. B., & Dowling, G. J. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101790