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Gepubliceerd in:
09-01-2025
Children’s executive functioning and health behaviors across pediatric life stages and ecological contexts
Auteurs: Nichole R. Kelly, Derek Kosty, Yosef Bodovski, Courtney K. Blackwell, Jody M. Ganiban, Jenae M. Neiderhiser, Dana Dabelea, Diane Gilbert-Diamond, Judy L. Aschner, Theresa M. Bastain, Carrie V. Breton, Nicole R. Bush, Catrina A. Calub, Carlos A. Camargo, Marie Camerota, Lisa A. Croen, Amy J. Elliott, Michelle Bosquet Enlow, Assiamira Ferrara, Tina Hartert, Robert M. Joseph, Margaret R. Karagas, Rachel S. Kelly, Kristen Lyall, Kelsey E. Magee, Cindy T. McEvoy, Francheska M. Merced-Nieves, Thomas G. O’Connor, Sara Santarossa, Susan L. Schantz, Rebecca J. Schmidt, Joseph B. Stanford, Jennifer K. Straughen, Annemarie Stroustrup, Nicole M. Talge, Rosalind J. Wright, Qi Zhao, Leslie D. Leve, on behalf of program collaborators for Environmental influences on Child Health Outcomes
Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 2/2025
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Abstract
Executive functioning (EF) has been linked to chronic disease risk in children. Health behaviors are thought to partially explain this association. The current cross-sectional study evaluated specific domains of EF and varied health behaviors in three pediatric life stages. Pediatric participants (early childhood n = 2074, Mage = 6.4 ± 0.9 y; middle childhood n = 3230, Mage = 9.6 ± 1.2 y; adolescence n = 1416, Mage = 15.2 ± 1.7 y) were part of the Environmental influences on Child Health Outcomes (ECHO) Program. They completed neurocognitive tasks measuring cognitive flexibility, behavioral inhibition, and working memory. Parent- and/or child-report measures of dietary intake, physical activity, sleep duration and quality, income, and positive parenting were also collected. Neighborhood crime and greenspace were calculated from publicly available census-tract level indices. After adjusting for study site, child body mass index, and demographics, working memory was related in the hypothesized direction to several dietary behaviors within all pediatric life stages. Working memory and cognitive flexibility were positively related to physical activity in middle childhood and adolescence. In adolescence, behavioral inhibition was positively related to physical activity and inversely related to sugar-sweetened beverage and total caloric intake. Associations with sleep were all non-significant. All significant associations reflected small effect sizes. Income, positive parenting, greenspace, and crime did not significantly influence any of the EF-health behavior associations. Findings highlight the need to consider EF domains, specific health behaviors, and developmental stage in creating intervention strategies that target EF to improve health behaviors. The small effect sizes reinforce the need for multi-tiered interventions to maximize health.
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Literatuur
go back to reference Abayomi, K., Gelman, A., & Levy, M. (2008). Diagnostics for multivariate imputations. Journal of the Royal Statistical Society Series C: Applied Statistics, 57(3), 273–291. https://doi.org/10.1111/j.1467-9876.2007.00613.xCrossRef
Abayomi, K., Gelman, A., & Levy, M. (2008). Diagnostics for multivariate imputations. Journal of the Royal Statistical Society Series C: Applied Statistics, 57(3), 273–291. https://doi.org/10.1111/j.1467-9876.2007.00613.xCrossRef
go back to reference Allan, J. L., McMinn, D., & Daly, M. (2016). A bidirectional relationship between executive function and health behavior: evidence, implications, and future directions. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2016.00386CrossRefPubMedPubMedCentral
Allan, J. L., McMinn, D., & Daly, M. (2016). A bidirectional relationship between executive function and health behavior: evidence, implications, and future directions. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2016.00386CrossRefPubMedPubMedCentral
go back to reference Allison, P. D. (2009). Missing data. In R. E. Millsap & A. Maydeu-Olivares (Eds.), The SAGE handbook of quantitative methods in psychology (pp. 72–89). Sage Publications.CrossRef
Allison, P. D. (2009). Missing data. In R. E. Millsap & A. Maydeu-Olivares (Eds.), The SAGE handbook of quantitative methods in psychology (pp. 72–89). Sage Publications.CrossRef
go back to reference Allom, V., & Mullan, B. (2014). Individual differences in executive function predict distinct eating behaviours. Appetite, 80, 123–130. https://doi.org/10.1016/j.appet.2014.05.007CrossRefPubMed
Allom, V., & Mullan, B. (2014). Individual differences in executive function predict distinct eating behaviours. Appetite, 80, 123–130. https://doi.org/10.1016/j.appet.2014.05.007CrossRefPubMed
go back to reference Almoraie, N. M., Saqaan, R., Alharthi, R., Alamoudi, A., Badh, L., & Shatwan, I. M. (2021). Snacking patterns throughout the life span: Potential implications on health. Nutrition Research, 91, 81–94. https://doi.org/10.1016/j.nutres.2021.05.001CrossRefPubMed
Almoraie, N. M., Saqaan, R., Alharthi, R., Alamoudi, A., Badh, L., & Shatwan, I. M. (2021). Snacking patterns throughout the life span: Potential implications on health. Nutrition Research, 91, 81–94. https://doi.org/10.1016/j.nutres.2021.05.001CrossRefPubMed
go back to reference Applied Geographic Solutions. (2022). Crime risk. https://appliedgeographic.com/wp-content/uploads/2022/06/AGS-CrimeRisk-Methodology-2022A.pdf
Applied Geographic Solutions. (2022). Crime risk. https://appliedgeographic.com/wp-content/uploads/2022/06/AGS-CrimeRisk-Methodology-2022A.pdf
go back to reference Asparouhov, T., & Muthén, B. (2022). Multiple imputation with Mplus. www.statmodel.com/download/Imputations7.pdf
Asparouhov, T., & Muthén, B. (2022). Multiple imputation with Mplus. www.statmodel.com/download/Imputations7.pdf
go back to reference Astell-Burt, T., Feng, X., & Kolt, G. S. (2014). Is neighborhood green space associated with a lower risk of type 2 diabetes? Evidence from 267,072 Australians. Diabetes Care, 37(1), 197–201. https://doi.org/10.2337/dc13-1325CrossRefPubMed
Astell-Burt, T., Feng, X., & Kolt, G. S. (2014). Is neighborhood green space associated with a lower risk of type 2 diabetes? Evidence from 267,072 Australians. Diabetes Care, 37(1), 197–201. https://doi.org/10.2337/dc13-1325CrossRefPubMed
go back to reference Astill, R. G., Van der Heijden, K. B., Van Ijzendoorn, M. H., & Van Someren, E. J. W. (2012). Sleep, cognition, and behavioral problems in school-age children: A century of research meta-analyzed. Psychological Bulletin, 138(6), 1109–1138. https://doi.org/10.1037/a0028204CrossRefPubMed
Astill, R. G., Van der Heijden, K. B., Van Ijzendoorn, M. H., & Van Someren, E. J. W. (2012). Sleep, cognition, and behavioral problems in school-age children: A century of research meta-analyzed. Psychological Bulletin, 138(6), 1109–1138. https://doi.org/10.1037/a0028204CrossRefPubMed
go back to reference Barber, B. K., Maughan, S. L., & Olsen, J. A. (2005). Patterns of parenting across adolescence. New Directions for Child and Adolescent Development, 2005(108), 5–16. https://doi.org/10.1002/cd.124CrossRef
Barber, B. K., Maughan, S. L., & Olsen, J. A. (2005). Patterns of parenting across adolescence. New Directions for Child and Adolescent Development, 2005(108), 5–16. https://doi.org/10.1002/cd.124CrossRef
go back to reference Bekelman, T. A., Dong, Y., Elliott, A. J., Ferrara, A., Friesen, K., & Dabelea, D. (2022). Health behavior changes during the COVID-19 pandemic: a longitudinal analysis among children. International Journal of Environmental Research and Public Health, 19(15), 9220. https://doi.org/10.3390/ijerph19159220CrossRefPubMedPubMedCentral
Bekelman, T. A., Dong, Y., Elliott, A. J., Ferrara, A., Friesen, K., & Dabelea, D. (2022). Health behavior changes during the COVID-19 pandemic: a longitudinal analysis among children. International Journal of Environmental Research and Public Health, 19(15), 9220. https://doi.org/10.3390/ijerph19159220CrossRefPubMedPubMedCentral
go back to reference Bekelman, T. A., Knapp, E. A., Dong, Y., Dabelea, D., Bastain, T. M., program collaborators for Environmental influences on Child Health Outcomes (ECHO). (2023). Sociodemographic variation in children’s health behaviors during the COVID-19 pandemic. Childhood Obesity (Print), 19(4), 226–238. https://doi.org/10.1089/chi.2022.0085CrossRefPubMedPubMedCentral
Bekelman, T. A., Knapp, E. A., Dong, Y., Dabelea, D., Bastain, T. M., program collaborators for Environmental influences on Child Health Outcomes (ECHO). (2023). Sociodemographic variation in children’s health behaviors during the COVID-19 pandemic. Childhood Obesity (Print), 19(4), 226–238. https://doi.org/10.1089/chi.2022.0085CrossRefPubMedPubMedCentral
go back to reference Benjamini, Y., & Hochberg, T. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B, 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.xCrossRef
Benjamini, Y., & Hochberg, T. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B, 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.xCrossRef
go back to reference Bernstein, J. P. K., DeVito, A., & Calamia, M. (2019). Subjectively and objectively measured sleep predict differing aspects of cognitive functioning in adults. Archives of Clinical Neuropsychology: THe Official Journal of the National Academy of Neuropsychologists, 34(7), 1127–1137. https://doi.org/10.1093/arclin/acz017CrossRefPubMed
Bernstein, J. P. K., DeVito, A., & Calamia, M. (2019). Subjectively and objectively measured sleep predict differing aspects of cognitive functioning in adults. Archives of Clinical Neuropsychology: THe Official Journal of the National Academy of Neuropsychologists, 34(7), 1127–1137. https://doi.org/10.1093/arclin/acz017CrossRefPubMed
go back to reference Best, J. R. (2010). Effects of physical activity on children’s executive function: Contributions of experimental research on aerobic exercise. Developmental Review: DR, 30(4), 331–551.CrossRefPubMed
Best, J. R. (2010). Effects of physical activity on children’s executive function: Contributions of experimental research on aerobic exercise. Developmental Review: DR, 30(4), 331–551.CrossRefPubMed
go back to reference Bevans, K. B., Meltzer, L. J., De La Motte, A., Kratchman, A., Viél, D., & Forrest, C. B. (2019). Qualitative development and content validation of the PROMIS pediatric sleep health items. Behavioral Sleep Medicine, 17(5), 657–671. https://doi.org/10.1080/15402002.2018.1461102CrossRefPubMed
Bevans, K. B., Meltzer, L. J., De La Motte, A., Kratchman, A., Viél, D., & Forrest, C. B. (2019). Qualitative development and content validation of the PROMIS pediatric sleep health items. Behavioral Sleep Medicine, 17(5), 657–671. https://doi.org/10.1080/15402002.2018.1461102CrossRefPubMed
go back to reference Brocki, K. C., & Bohlin, G. (2004). Executive functions in children aged 6 to 13: A dimensional and developmental study. Developmental Neuropsychology, 26(2), 571–593. https://doi.org/10.1207/s15326942dn2602_3CrossRefPubMed
Brocki, K. C., & Bohlin, G. (2004). Executive functions in children aged 6 to 13: A dimensional and developmental study. Developmental Neuropsychology, 26(2), 571–593. https://doi.org/10.1207/s15326942dn2602_3CrossRefPubMed
go back to reference Byrne, M. E., Tanofsky-Kraff, M., Lavender, J. M., Parker, M. N., Shank, L. M., & Yanovski, J. A. (2021). Bridging executive function and disinhibited eating among youth: A network analysis. The International Journal of Eating Disorders, 54(5), 721–732. https://doi.org/10.1002/eat.23476CrossRefPubMedPubMedCentral
Byrne, M. E., Tanofsky-Kraff, M., Lavender, J. M., Parker, M. N., Shank, L. M., & Yanovski, J. A. (2021). Bridging executive function and disinhibited eating among youth: A network analysis. The International Journal of Eating Disorders, 54(5), 721–732. https://doi.org/10.1002/eat.23476CrossRefPubMedPubMedCentral
go back to reference Cameron, A. J., Crawford, D. A., Salmon, J., Campbell, K., McNaughton, S. A., Mishra, G. D., & Ball, K. (2011). Clustering of obesity-related risk behaviors in children and their mothers. Annals of Epidemiology, 21(2), 95–102. https://doi.org/10.1016/j.annepidem.2010.11.001CrossRefPubMed
Cameron, A. J., Crawford, D. A., Salmon, J., Campbell, K., McNaughton, S. A., Mishra, G. D., & Ball, K. (2011). Clustering of obesity-related risk behaviors in children and their mothers. Annals of Epidemiology, 21(2), 95–102. https://doi.org/10.1016/j.annepidem.2010.11.001CrossRefPubMed
go back to reference Campbell, L. M., Kohli, M., Lee, E. E., Kaufmann, C. N., Higgins, M., & Moore, R. C. (2020). Objective and subjective sleep measures are associated with neurocognition in aging adults with and without HIV. The Clinical Neuropsychologist. https://doi.org/10.1080/13854046.2020.1824280CrossRefPubMedPubMedCentral
Campbell, L. M., Kohli, M., Lee, E. E., Kaufmann, C. N., Higgins, M., & Moore, R. C. (2020). Objective and subjective sleep measures are associated with neurocognition in aging adults with and without HIV. The Clinical Neuropsychologist. https://doi.org/10.1080/13854046.2020.1824280CrossRefPubMedPubMedCentral
go back to reference Centers for Disease Control and Prevention. (2011). National environmental public health tracking. https://ephtracking.cdc.gov/indicatorPages?selected-%2031%20Child%20Opportunity%20Index%202.0%20ContentAreaAbbreviation=22&selectedIndicatorId=134&selectedMeasureId=
Centers for Disease Control and Prevention. (2011). National environmental public health tracking. https://ephtracking.cdc.gov/indicatorPages?selected-%2031%20Child%20Opportunity%20Index%202.0%20ContentAreaAbbreviation=22&selectedIndicatorId=134&selectedMeasureId=
go back to reference Centers for Disease Control and Prevention. (n.d.). National health and nutrition examination survey. http://www.cdc.gov/nchs/nhanes.htm
Centers for Disease Control and Prevention. (n.d.). National health and nutrition examination survey. http://www.cdc.gov/nchs/nhanes.htm
go back to reference Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
go back to reference Combs, D., Goodwin, J. L., Quan, S. F., Morgan, W. J., Hsu, C.-H., & Parthasarathy, S. (2019). Mother knows best? Comparing child report and parent report of sleep parameters with polysomnography. Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine, 15(1), 111–117. https://doi.org/10.5664/jcsm.7582CrossRefPubMed
Combs, D., Goodwin, J. L., Quan, S. F., Morgan, W. J., Hsu, C.-H., & Parthasarathy, S. (2019). Mother knows best? Comparing child report and parent report of sleep parameters with polysomnography. Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine, 15(1), 111–117. https://doi.org/10.5664/jcsm.7582CrossRefPubMed
go back to reference Corder, K., Sharp, S. J., Atkin, A. J., Andersen, L. B., Cardon, G., Page, A., & van Sluijs, E. M. F. (2016). Age-related patterns of vigorous-intensity physical activity in youth: The international children’s accelerometry database. Preventive Medicine Reports, 4, 17–22. https://doi.org/10.1016/j.pmedr.2016.05.006CrossRefPubMedPubMedCentral
Corder, K., Sharp, S. J., Atkin, A. J., Andersen, L. B., Cardon, G., Page, A., & van Sluijs, E. M. F. (2016). Age-related patterns of vigorous-intensity physical activity in youth: The international children’s accelerometry database. Preventive Medicine Reports, 4, 17–22. https://doi.org/10.1016/j.pmedr.2016.05.006CrossRefPubMedPubMedCentral
go back to reference Cullen, K. W., Watson, K., & Zakeri, I. (2008). Relative reliability and validity of the block kids questionnaire among youth aged 10 to 17 years. Journal of the American Dietetic Association, 108(5), 862–866. https://doi.org/10.1016/j.jada.2008.02.015CrossRefPubMed
Cullen, K. W., Watson, K., & Zakeri, I. (2008). Relative reliability and validity of the block kids questionnaire among youth aged 10 to 17 years. Journal of the American Dietetic Association, 108(5), 862–866. https://doi.org/10.1016/j.jada.2008.02.015CrossRefPubMed
go back to reference Davids, E. L., Roman, N. V., & Leach, L. (2017). The link between parenting approaches and health behaviour: A systematic review. Journal of Human Behavior in the Social Environment, 27(6), 589–608. https://doi.org/10.1080/10911359.2017.1311816CrossRef
Davids, E. L., Roman, N. V., & Leach, L. (2017). The link between parenting approaches and health behaviour: A systematic review. Journal of Human Behavior in the Social Environment, 27(6), 589–608. https://doi.org/10.1080/10911359.2017.1311816CrossRef
go back to reference Diamond, A., & Ling, D. S. (2020). Review of the evidence on, and fundamental questions about, efforts to improve executive functions, including working memory. In Cognitive and working memory training: perspectives from psychology, neuroscience, and human development (pp. 143). Oxford University Press.
Diamond, A., & Ling, D. S. (2020). Review of the evidence on, and fundamental questions about, efforts to improve executive functions, including working memory. In Cognitive and working memory training: perspectives from psychology, neuroscience, and human development (pp. 143). Oxford University Press.
go back to reference Earth Resources Observation and Science Center. (2023). National land cover database. https://www.usgs.gov/centers/eros/science/national-land-cover-database
Earth Resources Observation and Science Center. (2023). National land cover database. https://www.usgs.gov/centers/eros/science/national-land-cover-database
go back to reference Egbert, A. H., Creber, C., Loren, D. M., & Bohnert, A. M. (2019). Executive function and dietary intake in youth: A systematic review of the literature. Appetite, 139, 197–212. https://doi.org/10.1016/j.appet.2019.04.013CrossRefPubMed
Egbert, A. H., Creber, C., Loren, D. M., & Bohnert, A. M. (2019). Executive function and dietary intake in youth: A systematic review of the literature. Appetite, 139, 197–212. https://doi.org/10.1016/j.appet.2019.04.013CrossRefPubMed
go back to reference Elgar, F. J., Waschbusch, D. A., Dadds, M. R., & Sigvaldason, N. (2007). Development and validation of a short form of the Alabama parenting questionnaire. Journal of Child and Family Studies, 16, 243–259. https://doi.org/10.1007/s10826-006-9082-5CrossRef
Elgar, F. J., Waschbusch, D. A., Dadds, M. R., & Sigvaldason, N. (2007). Development and validation of a short form of the Alabama parenting questionnaire. Journal of Child and Family Studies, 16, 243–259. https://doi.org/10.1007/s10826-006-9082-5CrossRef
go back to reference Essau, C. A., Sasagawa, S., & Frick, P. J. (2006). Psychometric properties of the Alabama parenting questionnaire. Journal of Child and Family Studies, 15(5), 595–614. https://doi.org/10.1007/s10826-006-9036-yCrossRef
Essau, C. A., Sasagawa, S., & Frick, P. J. (2006). Psychometric properties of the Alabama parenting questionnaire. Journal of Child and Family Studies, 15(5), 595–614. https://doi.org/10.1007/s10826-006-9036-yCrossRef
go back to reference Finkelstein, D. M., Harding, J. F., Paulsell, D., English, B., Hijjawi, G. R., & Ngandu, J. (2022). Economic well-being and health: The role of income support programs in promoting health and advancing health equity. Health Affairs, 41(12), 1700–1706. https://doi.org/10.1377/hlthaff.2022.00846CrossRefPubMed
Finkelstein, D. M., Harding, J. F., Paulsell, D., English, B., Hijjawi, G. R., & Ngandu, J. (2022). Economic well-being and health: The role of income support programs in promoting health and advancing health equity. Health Affairs, 41(12), 1700–1706. https://doi.org/10.1377/hlthaff.2022.00846CrossRefPubMed
go back to reference Forman, E. M., Goldstein, S. P., Flack, D., Evans, B. C., Manasse, S. M., & Dochat, C. (2018). Promising technological innovations in cognitive training to treat eating-related behavior. Appetite, 124, 68–77. https://doi.org/10.1016/j.appet.2017.04.011CrossRefPubMed
Forman, E. M., Goldstein, S. P., Flack, D., Evans, B. C., Manasse, S. M., & Dochat, C. (2018). Promising technological innovations in cognitive training to treat eating-related behavior. Appetite, 124, 68–77. https://doi.org/10.1016/j.appet.2017.04.011CrossRefPubMed
go back to reference Forrest, C. B., Meltzer, L. J., Marcus, C. L., de la Motte, A., Kratchman, A., & Bevans, K. B. (2018). Development and validation of the PROMIS pediatric sleep disturbance and sleep-related impairment item banks. Sleep, 41(6), zsy054. https://doi.org/10.1093/sleep/zsy054CrossRef
Forrest, C. B., Meltzer, L. J., Marcus, C. L., de la Motte, A., Kratchman, A., & Bevans, K. B. (2018). Development and validation of the PROMIS pediatric sleep disturbance and sleep-related impairment item banks. Sleep, 41(6), zsy054. https://doi.org/10.1093/sleep/zsy054CrossRef
go back to reference Friel, C. P., Duran, A. T., Shechter, A., & Diaz, K. M. (2020). U.S. children meeting physical activity, screen time, and sleep guidelines. American Journal of Preventive Medicine, 59(4), 513–521. https://doi.org/10.1016/j.amepre.2020.05.007CrossRefPubMedPubMedCentral
Friel, C. P., Duran, A. T., Shechter, A., & Diaz, K. M. (2020). U.S. children meeting physical activity, screen time, and sleep guidelines. American Journal of Preventive Medicine, 59(4), 513–521. https://doi.org/10.1016/j.amepre.2020.05.007CrossRefPubMedPubMedCentral
go back to reference Gettens, K. M., & Gorin, A. A. (2017). Executive function in weight loss and weight loss maintenance: A conceptual review and novel neuropsychological model of weight control. Journal of Behavioral Medicine, 40(5), 687–701. https://doi.org/10.1007/s10865-017-9831-5CrossRefPubMed
Gettens, K. M., & Gorin, A. A. (2017). Executive function in weight loss and weight loss maintenance: A conceptual review and novel neuropsychological model of weight control. Journal of Behavioral Medicine, 40(5), 687–701. https://doi.org/10.1007/s10865-017-9831-5CrossRefPubMed
go back to reference van Ginkel, J. R., Linting, M., Rippe, R. C. A., & van der Voort, A. (2020). Rebutting existing misconceptions about multiple imputation as a method for handling missing data. Journal of Personality Assessment, 102(3), 297–308. https://doi.org/10.1080/00223891.2018.1530680CrossRefPubMed
van Ginkel, J. R., Linting, M., Rippe, R. C. A., & van der Voort, A. (2020). Rebutting existing misconceptions about multiple imputation as a method for handling missing data. Journal of Personality Assessment, 102(3), 297–308. https://doi.org/10.1080/00223891.2018.1530680CrossRefPubMed
go back to reference Goldschmidt, A. B., Hipwell, A. E., Stepp, S. D., McTigue, K. M., & Keenan, K. (2015). Weight gain, executive functioning, and eating behaviors among girls. Pediatrics, 136(4), e856-863. https://doi.org/10.1542/peds.2015-0622CrossRefPubMed
Goldschmidt, A. B., Hipwell, A. E., Stepp, S. D., McTigue, K. M., & Keenan, K. (2015). Weight gain, executive functioning, and eating behaviors among girls. Pediatrics, 136(4), e856-863. https://doi.org/10.1542/peds.2015-0622CrossRefPubMed
go back to reference Goldschmidt, A. B., Wall, M., Choo, T.-H.J., Becker, C., & Neumark-Sztainer, D. (2016). Shared risk factors for mood-, eating-, and weight-related health outcomes. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 35(3), 245–252. https://doi.org/10.1037/hea0000283CrossRefPubMed
Goldschmidt, A. B., Wall, M., Choo, T.-H.J., Becker, C., & Neumark-Sztainer, D. (2016). Shared risk factors for mood-, eating-, and weight-related health outcomes. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 35(3), 245–252. https://doi.org/10.1037/hea0000283CrossRefPubMed
go back to reference Guiney, H., & Machado, L. (2013). Benefits of regular aerobic exercise for executive functioning in healthy populations. Psychonomic Bulletin and Review, 20(1), 73–86. https://doi.org/10.3758/s13423-012-0345-4CrossRefPubMed
Guiney, H., & Machado, L. (2013). Benefits of regular aerobic exercise for executive functioning in healthy populations. Psychonomic Bulletin and Review, 20(1), 73–86. https://doi.org/10.3758/s13423-012-0345-4CrossRefPubMed
go back to reference Hall, P. A., & Marteau, T. M. (2014). Executive function in the context of chronic disease prevention: Theory, research and practice. Preventive Medicine, 68, 44–50. https://doi.org/10.1016/j.ypmed.2014.07.008CrossRefPubMed
Hall, P. A., & Marteau, T. M. (2014). Executive function in the context of chronic disease prevention: Theory, research and practice. Preventive Medicine, 68, 44–50. https://doi.org/10.1016/j.ypmed.2014.07.008CrossRefPubMed
go back to reference Holmes, K.-L., Rollo, M. E., & Collins, C. E. (2018). Do the contemporary dietary patterns of children align with national food and nutrient recommendations? Journal of Human Nutrition and Dietetics, 31(5), 670–682. https://doi.org/10.1111/jhn.12570CrossRefPubMed
Holmes, K.-L., Rollo, M. E., & Collins, C. E. (2018). Do the contemporary dietary patterns of children align with national food and nutrient recommendations? Journal of Human Nutrition and Dietetics, 31(5), 670–682. https://doi.org/10.1111/jhn.12570CrossRefPubMed
go back to reference Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006). Age-related change in executive function: Developmental trends and a latent variable analysis. Neuropsychologia, 44(11), 2017–2036. https://doi.org/10.1016/j.neuropsychologia.2006.01.010CrossRefPubMed
Huizinga, M., Dolan, C. V., & van der Molen, M. W. (2006). Age-related change in executive function: Developmental trends and a latent variable analysis. Neuropsychologia, 44(11), 2017–2036. https://doi.org/10.1016/j.neuropsychologia.2006.01.010CrossRefPubMed
go back to reference Jaccard, J., & Turrisi, R. (2003). Interaction effects in multiple regression. Sage. https://doi.org/10.4135/9781412984522CrossRef
Jaccard, J., & Turrisi, R. (2003). Interaction effects in multiple regression. Sage. https://doi.org/10.4135/9781412984522CrossRef
go back to reference Johnson, B. S., Malecki, K. M., Peppard, P. E., & Beyer, K. M. M. (2018). Exposure to neighborhood green space and sleep: evidence from the survey of the health of Wisconsin. Sleep Health, 4(5), 413–419. https://doi.org/10.1016/j.sleh.2018.08.001CrossRefPubMedPubMedCentral
Johnson, B. S., Malecki, K. M., Peppard, P. E., & Beyer, K. M. M. (2018). Exposure to neighborhood green space and sleep: evidence from the survey of the health of Wisconsin. Sleep Health, 4(5), 413–419. https://doi.org/10.1016/j.sleh.2018.08.001CrossRefPubMedPubMedCentral
go back to reference Kardan, O., Gozdyra, P., Misic, B., Moola, F., Palmer, L. J., Paus, T., & Berman, M. G. (2015). Neighborhood greenspace and health in a large urban center. Scientific Reports, 5(1), 11610. https://doi.org/10.1038/srep11610CrossRefPubMedPubMedCentral
Kardan, O., Gozdyra, P., Misic, B., Moola, F., Palmer, L. J., Paus, T., & Berman, M. G. (2015). Neighborhood greenspace and health in a large urban center. Scientific Reports, 5(1), 11610. https://doi.org/10.1038/srep11610CrossRefPubMedPubMedCentral
go back to reference Kelly, N. R., Jaramillo, M., Ramirez, S., Altman, D. R., Rubin, S. G., & Yanovski, J. A. (2020). Executive functioning and disinhibited eating in children and adolescents. Pediatric Obesity, 15(6), e12614. https://doi.org/10.1111/ijpo.12614CrossRefPubMedPubMedCentral
Kelly, N. R., Jaramillo, M., Ramirez, S., Altman, D. R., Rubin, S. G., & Yanovski, J. A. (2020). Executive functioning and disinhibited eating in children and adolescents. Pediatric Obesity, 15(6), e12614. https://doi.org/10.1111/ijpo.12614CrossRefPubMedPubMedCentral
go back to reference Khan, N. A., Raine, L. B., Drollette, E. S., Scudder, M. R., & Hillman, C. H. (2015). The relation of saturated fats and dietary cholesterol to childhood cognitive flexibility. Appetite, 93, 51–56. https://doi.org/10.1016/j.appet.2015.04.012CrossRefPubMedPubMedCentral
Khan, N. A., Raine, L. B., Drollette, E. S., Scudder, M. R., & Hillman, C. H. (2015). The relation of saturated fats and dietary cholesterol to childhood cognitive flexibility. Appetite, 93, 51–56. https://doi.org/10.1016/j.appet.2015.04.012CrossRefPubMedPubMedCentral
go back to reference Knapp, E. A., Kress, A. M., Parker, C. B., Page, G. P., McArthur, K., Influences on Child Health Outcomes, on behalf of program collaborators for Environmental. (2023). The environmental influences on child health outcomes (ECHO)-wide cohort. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwad071CrossRefPubMedPubMedCentral
Knapp, E. A., Kress, A. M., Parker, C. B., Page, G. P., McArthur, K., Influences on Child Health Outcomes, on behalf of program collaborators for Environmental. (2023). The environmental influences on child health outcomes (ECHO)-wide cohort. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwad071CrossRefPubMedPubMedCentral
go back to reference Lee, J. H., & Huber, J. C. (2021). Evaluation of multiple imputation with large proportions of missing data: how much is too much? Iranian Journal of Public Health, 50(7), 1372–1380. https://doi.org/10.18502/ijph.v50i7.6626CrossRefPubMedPubMedCentral
Lee, J. H., & Huber, J. C. (2021). Evaluation of multiple imputation with large proportions of missing data: how much is too much? Iranian Journal of Public Health, 50(7), 1372–1380. https://doi.org/10.18502/ijph.v50i7.6626CrossRefPubMedPubMedCentral
go back to reference Li, L., Sheehan, C. M., Valiente, C., Eisenberg, N., Doane, L. D., & Southworth, J. (2021). Similarities and differences between actigraphy and parent-reported sleep in a Hispanic and non-Hispanic White sample. Sleep Medicine, 83, 160–167. https://doi.org/10.1016/j.sleep.2021.04.036CrossRefPubMedPubMedCentral
Li, L., Sheehan, C. M., Valiente, C., Eisenberg, N., Doane, L. D., & Southworth, J. (2021). Similarities and differences between actigraphy and parent-reported sleep in a Hispanic and non-Hispanic White sample. Sleep Medicine, 83, 160–167. https://doi.org/10.1016/j.sleep.2021.04.036CrossRefPubMedPubMedCentral
go back to reference Liu, H., Liu, Y., Shi, M., Zhou, Y., Zhao, Y., & Xia, Y. (2022). Meta-analysis of sugar-sweetened beverage intake and the risk of cognitive disorders. Journal of Affective Disorders, 313, 177–185. https://doi.org/10.1016/j.jad.2022.06.048CrossRefPubMed
Liu, H., Liu, Y., Shi, M., Zhou, Y., Zhao, Y., & Xia, Y. (2022). Meta-analysis of sugar-sweetened beverage intake and the risk of cognitive disorders. Journal of Affective Disorders, 313, 177–185. https://doi.org/10.1016/j.jad.2022.06.048CrossRefPubMed
go back to reference Loeber, R., Drinkwater, M., Yin, Y., Anderson, S. J., Schmidt, L. C., & Crawford, A. (2000). Stability of family interaction from ages 6 to 18. Journal of Abnormal Child Psychology, 28(4), 353–369. https://doi.org/10.1023/a:1005169026208CrossRefPubMed
Loeber, R., Drinkwater, M., Yin, Y., Anderson, S. J., Schmidt, L. C., & Crawford, A. (2000). Stability of family interaction from ages 6 to 18. Journal of Abnormal Child Psychology, 28(4), 353–369. https://doi.org/10.1023/a:1005169026208CrossRefPubMed
go back to reference Lord, S., Manlhiot, C., Tyrrell, P. N., Dobbin, S., Gibson, D., & McCrindle, B. W. (2015). Lower socioeconomic status, adiposity and negative health behaviours in youth: A cross-sectional observational study. British Medical Journal Open, 5(5), e008291. https://doi.org/10.1136/bmjopen-2015-008291CrossRef
Lord, S., Manlhiot, C., Tyrrell, P. N., Dobbin, S., Gibson, D., & McCrindle, B. W. (2015). Lower socioeconomic status, adiposity and negative health behaviours in youth: A cross-sectional observational study. British Medical Journal Open, 5(5), e008291. https://doi.org/10.1136/bmjopen-2015-008291CrossRef
go back to reference Loth, K. A., MacLehose, R. F., Larson, N., Berge, J. M., & Neumark-Sztainer, D. (2016). Food availability, modeling and restriction: how are these different aspects of the family eating environment related to adolescent dietary intake? Appetite, 96, 80–86. https://doi.org/10.1016/j.appet.2015.08.026CrossRefPubMed
Loth, K. A., MacLehose, R. F., Larson, N., Berge, J. M., & Neumark-Sztainer, D. (2016). Food availability, modeling and restriction: how are these different aspects of the family eating environment related to adolescent dietary intake? Appetite, 96, 80–86. https://doi.org/10.1016/j.appet.2015.08.026CrossRefPubMed
go back to reference Lund, J. I., Toombs, E., Radford, A., Boles, K., & Mushquash, C. (2020). Adverse childhood experiences and executive function difficulties in children: A systematic review. Child Abuse and Neglect, 106, 104485. https://doi.org/10.1016/j.chiabu.2020.104485CrossRefPubMed
Lund, J. I., Toombs, E., Radford, A., Boles, K., & Mushquash, C. (2020). Adverse childhood experiences and executive function difficulties in children: A systematic review. Child Abuse and Neglect, 106, 104485. https://doi.org/10.1016/j.chiabu.2020.104485CrossRefPubMed
go back to reference Mangone, A., Yates, K. F., Sweat, V., Joseph, A., & Convit, A. (2018). Cognitive functions among predominantly minority urban adolescents with metabolic syndrome. Applied Neuropsychology Child, 7(2), 157–163. https://doi.org/10.1080/21622965.2017.1284662CrossRefPubMed
Mangone, A., Yates, K. F., Sweat, V., Joseph, A., & Convit, A. (2018). Cognitive functions among predominantly minority urban adolescents with metabolic syndrome. Applied Neuropsychology Child, 7(2), 157–163. https://doi.org/10.1080/21622965.2017.1284662CrossRefPubMed
go back to reference Mazza, S., Bastuji, H., & Rey, A. E. (2020). Objective and subjective assessments of sleep in children: Comparison of actigraphy, sleep diary completed by children and parents’ estimation. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2020.00495CrossRefPubMedPubMedCentral
Mazza, S., Bastuji, H., & Rey, A. E. (2020). Objective and subjective assessments of sleep in children: Comparison of actigraphy, sleep diary completed by children and parents’ estimation. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2020.00495CrossRefPubMedPubMedCentral
go back to reference Mirmiran, P., Aghayan, M., Bakhshi, B., Hosseinpour-Niazi, S., & Azizi, F. (2021). Socioeconomic status and lifestyle factors modifies the association between snack foods intake and incidence of metabolic syndrome. Nutrition Journal, 20, 70. https://doi.org/10.1186/s12937-021-00728-yCrossRefPubMedPubMedCentral
Mirmiran, P., Aghayan, M., Bakhshi, B., Hosseinpour-Niazi, S., & Azizi, F. (2021). Socioeconomic status and lifestyle factors modifies the association between snack foods intake and incidence of metabolic syndrome. Nutrition Journal, 20, 70. https://doi.org/10.1186/s12937-021-00728-yCrossRefPubMedPubMedCentral
go back to reference Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734CrossRefPubMed
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734CrossRefPubMed
go back to reference Morgan, K., Hallingberg, B., Littlecott, H., Murphy, S., Fletcher, A., Roberts, C., & Moore, G. (2016). Predictors of physical activity and sedentary behaviours among 11–16 year olds: Multilevel analysis of the 2013 health behaviour in school-aged children (HBSC) study in Wales. BMC Public Health, 16(1), 569. https://doi.org/10.1186/s12889-016-3213-8CrossRefPubMedPubMedCentral
Morgan, K., Hallingberg, B., Littlecott, H., Murphy, S., Fletcher, A., Roberts, C., & Moore, G. (2016). Predictors of physical activity and sedentary behaviours among 11–16 year olds: Multilevel analysis of the 2013 health behaviour in school-aged children (HBSC) study in Wales. BMC Public Health, 16(1), 569. https://doi.org/10.1186/s12889-016-3213-8CrossRefPubMedPubMedCentral
go back to reference Mudryj, A. N., Riediger, N. D., & Bombak, A. E. (2019). The relationships between health-related behaviours in the Canadian adult population. BMC Public Health. https://doi.org/10.1186/s12889-019-7674-4CrossRefPubMedPubMedCentral
Mudryj, A. N., Riediger, N. D., & Bombak, A. E. (2019). The relationships between health-related behaviours in the Canadian adult population. BMC Public Health. https://doi.org/10.1186/s12889-019-7674-4CrossRefPubMedPubMedCentral
go back to reference National Cancer Institute. (2009). Dietary screener questionnaires (DSQ) in the NHANES 2009–10: DSQ. national cancer institute: division of cancer control and population sciences. https://epi.grants.cancer.gov/nhanes/dietscreen/questionnaires.html
National Cancer Institute. (2009). Dietary screener questionnaires (DSQ) in the NHANES 2009–10: DSQ. national cancer institute: division of cancer control and population sciences. https://epi.grants.cancer.gov/nhanes/dietscreen/questionnaires.html
go back to reference National Cancer Institute. (n.d.). Automated self-administered 24-hour dietary assessment tool. https://epi.grants.cancer.gov/asa24/#:~:text=was%20ASA24%20developed%3F-,What%20is%20ASA24%3F,also%20known%20as%20food%20diaries
National Cancer Institute. (n.d.). Automated self-administered 24-hour dietary assessment tool. https://epi.grants.cancer.gov/asa24/#:~:text=was%20ASA24%20developed%3F-,What%20is%20ASA24%3F,also%20known%20as%20food%20diaries
go back to reference Nelson, T. D., Kidwell, K. M., Hankey, M., Nelson, J. M., & Espy, K. A. (2018). Preschool executive control and sleep problems in early adolescence. Behavioral Sleep Medicine, 16(5), 494–503. https://doi.org/10.1080/15402002.2016.1228650CrossRefPubMed
Nelson, T. D., Kidwell, K. M., Hankey, M., Nelson, J. M., & Espy, K. A. (2018). Preschool executive control and sleep problems in early adolescence. Behavioral Sleep Medicine, 16(5), 494–503. https://doi.org/10.1080/15402002.2016.1228650CrossRefPubMed
go back to reference Neppl, T. K., Jeon, S., Diggs, O., & Donnellan, M. B. (2020). Positive parenting, effortful control, and developmental outcomes across early childhood. Developmental Psychology, 56(3), 444–457. https://doi.org/10.1037/dev0000874CrossRefPubMedPubMedCentral
Neppl, T. K., Jeon, S., Diggs, O., & Donnellan, M. B. (2020). Positive parenting, effortful control, and developmental outcomes across early childhood. Developmental Psychology, 56(3), 444–457. https://doi.org/10.1037/dev0000874CrossRefPubMedPubMedCentral
go back to reference Noelke, C., McArdle, N., Baek, M., Huntington, N., Huber, R., Hardy, E., & Acevedo-Garcia, D. (2020). Child opportunity index 2.0 technical documentation. diversitydatakids.org/researchlibrary/research-brief/how-we-built-it
Noelke, C., McArdle, N., Baek, M., Huntington, N., Huber, R., Hardy, E., & Acevedo-Garcia, D. (2020). Child opportunity index 2.0 technical documentation. diversitydatakids.org/researchlibrary/research-brief/how-we-built-it
go back to reference Nutrition Coordinating Center, U. of M. (n.d.). 24 h dietary recall collection. http://www.ncc.umn.edu/24-hr-dietary-recall-collection/
Nutrition Coordinating Center, U. of M. (n.d.). 24 h dietary recall collection. http://www.ncc.umn.edu/24-hr-dietary-recall-collection/
go back to reference Ottevaere, C., Huybrechts, I., Benser, J., De Bourdeaudhuij, I., Cuenca-Garcia, M., HELENA Study Group. (2011). Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents: The HELENA study. BMC Public Health, 11, 328. https://doi.org/10.1186/1471-2458-11-328CrossRefPubMedPubMedCentral
Ottevaere, C., Huybrechts, I., Benser, J., De Bourdeaudhuij, I., Cuenca-Garcia, M., HELENA Study Group. (2011). Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents: The HELENA study. BMC Public Health, 11, 328. https://doi.org/10.1186/1471-2458-11-328CrossRefPubMedPubMedCentral
go back to reference Paruthi, S., Brooks, L. J., D’Ambrosio, C., Hall, W. A., Kotagal, S., & Wise, M. S. (2016). Recommended amount of sleep for pediatric populations: A consensus statement of the American academy of sleep medicine. Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine, 12(6), 785–786. https://doi.org/10.5664/jcsm.5866CrossRefPubMed
Paruthi, S., Brooks, L. J., D’Ambrosio, C., Hall, W. A., Kotagal, S., & Wise, M. S. (2016). Recommended amount of sleep for pediatric populations: A consensus statement of the American academy of sleep medicine. Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine, 12(6), 785–786. https://doi.org/10.5664/jcsm.5866CrossRefPubMed
go back to reference Pate, R. R., Saunders, R. P., Taverno Ross, S. E., & Dowda, M. (2022). Patterns of age-related change in physical activity during the transition from elementary to high school. Preventive Medicine Reports, 26, 101712. https://doi.org/10.1016/j.pmedr.2022.101712CrossRefPubMedPubMedCentral
Pate, R. R., Saunders, R. P., Taverno Ross, S. E., & Dowda, M. (2022). Patterns of age-related change in physical activity during the transition from elementary to high school. Preventive Medicine Reports, 26, 101712. https://doi.org/10.1016/j.pmedr.2022.101712CrossRefPubMedPubMedCentral
go back to reference Pereira, S., Reyes, A. C., Chaves, R., Santos, C., Vasconcelos, O., & Maia, J. (2022). Correlates of the physical activity decline during childhood. Medicine and Science in Sports and Exercise, 54(12), 2129–2137. https://doi.org/10.1249/MSS.0000000000003013CrossRefPubMedPubMedCentral
Pereira, S., Reyes, A. C., Chaves, R., Santos, C., Vasconcelos, O., & Maia, J. (2022). Correlates of the physical activity decline during childhood. Medicine and Science in Sports and Exercise, 54(12), 2129–2137. https://doi.org/10.1249/MSS.0000000000003013CrossRefPubMedPubMedCentral
go back to reference Perpétuo, C., Fernandes, M., & Veríssimo, M. (2020). Comparison between actigraphy records and parental reports of child’s sleep. Frontiers in Pediatrics, 8, 567390. https://doi.org/10.3389/fped.2020.567390CrossRefPubMedPubMedCentral
Perpétuo, C., Fernandes, M., & Veríssimo, M. (2020). Comparison between actigraphy records and parental reports of child’s sleep. Frontiers in Pediatrics, 8, 567390. https://doi.org/10.3389/fped.2020.567390CrossRefPubMedPubMedCentral
go back to reference Philips, N., Sioen, I., Michels, N., Sleddens, E., & De Henauw, S. (2014). The influence of parenting style on health related behavior of children: Findings from the ChiBS study. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 95. https://doi.org/10.1186/s12966-014-0095-yCrossRefPubMedPubMedCentral
Philips, N., Sioen, I., Michels, N., Sleddens, E., & De Henauw, S. (2014). The influence of parenting style on health related behavior of children: Findings from the ChiBS study. International Journal of Behavioral Nutrition and Physical Activity, 11(1), 95. https://doi.org/10.1186/s12966-014-0095-yCrossRefPubMedPubMedCentral
go back to reference Pitt, E., Gallegos, D., Comans, T., Cameron, C., & Thornton, L. (2017). Exploring the influence of local food environments on food behaviours: A systematic review of qualitative literature. Public Health Nutrition, 20(13), 2393–2405. https://doi.org/10.1017/S1368980017001069CrossRefPubMedPubMedCentral
Pitt, E., Gallegos, D., Comans, T., Cameron, C., & Thornton, L. (2017). Exploring the influence of local food environments on food behaviours: A systematic review of qualitative literature. Public Health Nutrition, 20(13), 2393–2405. https://doi.org/10.1017/S1368980017001069CrossRefPubMedPubMedCentral
go back to reference Reinert, K. R., Po’e, E. K., & Barkin, S. L. (2013). The relationship between executive function and obesity in children and adolescents: a systematic literature review. Journal of Obesity. https://doi.org/10.1155/2013/820956CrossRefPubMedPubMedCentral
Reinert, K. R., Po’e, E. K., & Barkin, S. L. (2013). The relationship between executive function and obesity in children and adolescents: a systematic literature review. Journal of Obesity. https://doi.org/10.1155/2013/820956CrossRefPubMedPubMedCentral
go back to reference Richardson, E. A., Pearce, J., Mitchell, R., & Kingham, S. (2013). Role of physical activity in the relationship between urban green space and health. Public Health, 127(4), 318–324. https://doi.org/10.1016/j.puhe.2013.01.004CrossRefPubMed
Richardson, E. A., Pearce, J., Mitchell, R., & Kingham, S. (2013). Role of physical activity in the relationship between urban green space and health. Public Health, 127(4), 318–324. https://doi.org/10.1016/j.puhe.2013.01.004CrossRefPubMed
go back to reference Riggs, N. R., Chou, C., Spruijt-Metz, D., & Pentz, M. A. (2010). Executive cognitive function as a correlate and predictor of child food intake and physical activity. Child Neuropsychology, 16(3), 279–292. https://doi.org/10.1080/09297041003601488CrossRefPubMed
Riggs, N. R., Chou, C., Spruijt-Metz, D., & Pentz, M. A. (2010). Executive cognitive function as a correlate and predictor of child food intake and physical activity. Child Neuropsychology, 16(3), 279–292. https://doi.org/10.1080/09297041003601488CrossRefPubMed
go back to reference Riggs, N. R., Spruijt-Metz, D., Chou, C. P., & Pentz, M. A. (2012). Relationships between executive cognitive function and lifetime substance use and obesity-related behaviors in fourth grade youth. Child Neuropsychology, 18(1), 1–11. https://doi.org/10.1080/09297049.2011.555759CrossRefPubMed
Riggs, N. R., Spruijt-Metz, D., Chou, C. P., & Pentz, M. A. (2012). Relationships between executive cognitive function and lifetime substance use and obesity-related behaviors in fourth grade youth. Child Neuropsychology, 18(1), 1–11. https://doi.org/10.1080/09297049.2011.555759CrossRefPubMed
go back to reference Rowe, A., Titterington, J., Holmes, J., Henry, L., & Taggart, L. (2019). Interventions targeting working memory in 4–11 year olds within their everyday contexts: A systematic review. Developmental Review, 52, 1–23. https://doi.org/10.1016/j.dr.2019.02.001CrossRefPubMedPubMedCentral
Rowe, A., Titterington, J., Holmes, J., Henry, L., & Taggart, L. (2019). Interventions targeting working memory in 4–11 year olds within their everyday contexts: A systematic review. Developmental Review, 52, 1–23. https://doi.org/10.1016/j.dr.2019.02.001CrossRefPubMedPubMedCentral
go back to reference Sala, G., & Gobet, F. (2020). Working memory training in typically developing children: A multilevel meta-analysis. Psychonomic Bulletin and Review, 27(3), 423–434. https://doi.org/10.3758/s13423-019-01681-yCrossRefPubMed
Sala, G., & Gobet, F. (2020). Working memory training in typically developing children: A multilevel meta-analysis. Psychonomic Bulletin and Review, 27(3), 423–434. https://doi.org/10.3758/s13423-019-01681-yCrossRefPubMed
go back to reference Shapiro, A. L. B., Wilkening, G., Aalborg, J., Ringham, B. M., Glueck, D. H., Tregellas, J. R., & Dabelea, D. (2019). Childhood metabolic biomarkers are associated with performance on cognitive tasks in young children. The Journal of Pediatrics, 211, 92–97. https://doi.org/10.1016/j.jpeds.2019.03.043CrossRefPubMedPubMedCentral
Shapiro, A. L. B., Wilkening, G., Aalborg, J., Ringham, B. M., Glueck, D. H., Tregellas, J. R., & Dabelea, D. (2019). Childhood metabolic biomarkers are associated with performance on cognitive tasks in young children. The Journal of Pediatrics, 211, 92–97. https://doi.org/10.1016/j.jpeds.2019.03.043CrossRefPubMedPubMedCentral
go back to reference Shepard, E., Sweeney, C., Thompson, L., Jacobs, S., Grimm, J., & Weyandt, L. L. (2023). Effectiveness of executive functioning training among heterogeneous adolescent samples: A systematic review. Applied Neuropsychology: Child, 12(4), 327–343. https://doi.org/10.1080/21622965.2022.2106436CrossRefPubMed
Shepard, E., Sweeney, C., Thompson, L., Jacobs, S., Grimm, J., & Weyandt, L. L. (2023). Effectiveness of executive functioning training among heterogeneous adolescent samples: A systematic review. Applied Neuropsychology: Child, 12(4), 327–343. https://doi.org/10.1080/21622965.2022.2106436CrossRefPubMed
go back to reference Shomaker, L. B., Tanofsky-Kraff, M., Savastano, D. M., Kozlosky, M., Columbo, K. M., & Yanovski, J. A. (2010). Puberty and observed energy intake: Boy, can they eat! The American Journal of Clinical Nutrition, 92(1), 123–129.CrossRefPubMedPubMedCentral
Shomaker, L. B., Tanofsky-Kraff, M., Savastano, D. M., Kozlosky, M., Columbo, K. M., & Yanovski, J. A. (2010). Puberty and observed energy intake: Boy, can they eat! The American Journal of Clinical Nutrition, 92(1), 123–129.CrossRefPubMedPubMedCentral
go back to reference Song, Y., Fan, B., Wang, C., & Yu, H. (2023). Meta-analysis of the effects of physical activity on executive function in children and adolescents with attention deficit hyperactivity disorder. PLoS ONE, 18(8), e0289732. https://doi.org/10.1371/journal.pone.0289732CrossRefPubMedPubMedCentral
Song, Y., Fan, B., Wang, C., & Yu, H. (2023). Meta-analysis of the effects of physical activity on executive function in children and adolescents with attention deficit hyperactivity disorder. PLoS ONE, 18(8), e0289732. https://doi.org/10.1371/journal.pone.0289732CrossRefPubMedPubMedCentral
go back to reference Stanek, K., Strain, G., Devlin, M., Cohen, R., Paul, R., & Gunstad, J. (2013). Body mass index and neurocognitive functioning across the adult lifespan. Neuropsychology, 27(2), 141–151. https://doi.org/10.1037/a0031988CrossRefPubMedPubMedCentral
Stanek, K., Strain, G., Devlin, M., Cohen, R., Paul, R., & Gunstad, J. (2013). Body mass index and neurocognitive functioning across the adult lifespan. Neuropsychology, 27(2), 141–151. https://doi.org/10.1037/a0031988CrossRefPubMedPubMedCentral
go back to reference Storfer-Isser, A., Patel, S. R., Babineau, D. C., & Redline, S. (2012). Relation between sleep duration and BMI varies by age and sex in youth age 8–19. Pediatric Obesity, 7(1), 53–64. https://doi.org/10.1111/j.2047-6310.2011.00008.xCrossRefPubMed
Storfer-Isser, A., Patel, S. R., Babineau, D. C., & Redline, S. (2012). Relation between sleep duration and BMI varies by age and sex in youth age 8–19. Pediatric Obesity, 7(1), 53–64. https://doi.org/10.1111/j.2047-6310.2011.00008.xCrossRefPubMed
go back to reference Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8, 129–144.CrossRef
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8, 129–144.CrossRef
go back to reference Taveras, E. M., Rifas-Shiman, S. L., Bub, K. L., Gillman, M. W., & Oken, E. (2017). Prospective study of insufficient sleep and neurobehavioral functioning among school-age children. Academic Pediatrics, 17(6), 625–632. https://doi.org/10.1016/j.acap.2017.02.001CrossRefPubMedPubMedCentral
Taveras, E. M., Rifas-Shiman, S. L., Bub, K. L., Gillman, M. W., & Oken, E. (2017). Prospective study of insufficient sleep and neurobehavioral functioning among school-age children. Academic Pediatrics, 17(6), 625–632. https://doi.org/10.1016/j.acap.2017.02.001CrossRefPubMedPubMedCentral
go back to reference Tee, J. Y. H., Gan, W. Y., Tan, K.-A., & Chin, Y. S. (2018). Obesity and unhealthy lifestyle associated with poor executive function among Malaysian adolescents. PLoS ONE, 13(4), e0195934. https://doi.org/10.1371/journal.pone.0195934CrossRefPubMedPubMedCentral
Tee, J. Y. H., Gan, W. Y., Tan, K.-A., & Chin, Y. S. (2018). Obesity and unhealthy lifestyle associated with poor executive function among Malaysian adolescents. PLoS ONE, 13(4), e0195934. https://doi.org/10.1371/journal.pone.0195934CrossRefPubMedPubMedCentral
go back to reference Thompson, F. E., Midthune, D., Kahle, L., & Dodd, K. W. (2017). Development and evaluation of the national cancer institute’s dietary screener questionnaire scoring algorithms. The Journal of Nutrition, 147(6), 1226–1233. https://doi.org/10.3945/jn.116.246058CrossRefPubMedPubMedCentral
Thompson, F. E., Midthune, D., Kahle, L., & Dodd, K. W. (2017). Development and evaluation of the national cancer institute’s dietary screener questionnaire scoring algorithms. The Journal of Nutrition, 147(6), 1226–1233. https://doi.org/10.3945/jn.116.246058CrossRefPubMedPubMedCentral
go back to reference Tomporowski, P. D., Lambourne, K., & Okumura, M. S. (2011). Physical activity interventions and children’s mental function: An introduction and overview. Preventive Medicine, 52(Suppl 1), S3–S9. https://doi.org/10.1016/j.ypmed.2011.01.028CrossRefPubMedPubMedCentral
Tomporowski, P. D., Lambourne, K., & Okumura, M. S. (2011). Physical activity interventions and children’s mental function: An introduction and overview. Preventive Medicine, 52(Suppl 1), S3–S9. https://doi.org/10.1016/j.ypmed.2011.01.028CrossRefPubMedPubMedCentral
go back to reference Toppala, S., Ekblad, L. L., Lötjönen, J., Helin, S., Hurme, S., Johansson, J., & Rinne, J. O. (2019). Midlife insulin resistance as a predictor for late-life cognitive function and cerebrovascular lesions. Journal of Alzheimer’s Disease, 72(1), 215–228.CrossRefPubMedPubMedCentral
Toppala, S., Ekblad, L. L., Lötjönen, J., Helin, S., Hurme, S., Johansson, J., & Rinne, J. O. (2019). Midlife insulin resistance as a predictor for late-life cognitive function and cerebrovascular lesions. Journal of Alzheimer’s Disease, 72(1), 215–228.CrossRefPubMedPubMedCentral
go back to reference Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS pediatric physical activity item banks. Physical Therapy, 100(8), 1393–1410. https://doi.org/10.1093/ptj/pzaa074CrossRefPubMedPubMedCentral
Tucker, C. A., Bevans, K. B., Becker, B. D., Teneralli, R., & Forrest, C. B. (2020). Development of the PROMIS pediatric physical activity item banks. Physical Therapy, 100(8), 1393–1410. https://doi.org/10.1093/ptj/pzaa074CrossRefPubMedPubMedCentral
go back to reference Tucker, C. A., Bevans, K. B., Teneralli, R. E., Smith, A. W., Bowles, H. R., & Forrest, C. B. (2014). Self-reported pediatric measures of physical activity, sedentary behavior and strength impact for promis®: conceptual framework. Pediatric Physical Therapy, 26(4), 376–384. https://doi.org/10.1097/PEP.0000000000000073CrossRefPubMedPubMedCentral
Tucker, C. A., Bevans, K. B., Teneralli, R. E., Smith, A. W., Bowles, H. R., & Forrest, C. B. (2014). Self-reported pediatric measures of physical activity, sedentary behavior and strength impact for promis®: conceptual framework. Pediatric Physical Therapy, 26(4), 376–384. https://doi.org/10.1097/PEP.0000000000000073CrossRefPubMedPubMedCentral
go back to reference Tulsky, D. S., Carlozzi, N. E., Chevalier, N., Espy, K. A., Beaumont, J. L., & Mungas, D. (2013). V. NIH toolbox cognition battery (CB) measuring working memory. Monographs of the Society for Research in Child Development, 78(4), 70–87. https://doi.org/10.1111/mono.12035CrossRefPubMedPubMedCentral
Tulsky, D. S., Carlozzi, N. E., Chevalier, N., Espy, K. A., Beaumont, J. L., & Mungas, D. (2013). V. NIH toolbox cognition battery (CB) measuring working memory. Monographs of the Society for Research in Child Development, 78(4), 70–87. https://doi.org/10.1111/mono.12035CrossRefPubMedPubMedCentral
go back to reference Turan, O., Garner, J., Chang, L., & Isaiah, A. (2024). Accuracy of parent-reported sleep duration among adolescents assessed using accelerometry. Pediatric Research. https://doi.org/10.1038/s41390-024-03393-zCrossRefPubMed
Turan, O., Garner, J., Chang, L., & Isaiah, A. (2024). Accuracy of parent-reported sleep duration among adolescents assessed using accelerometry. Pediatric Research. https://doi.org/10.1038/s41390-024-03393-zCrossRefPubMed
go back to reference Valcan, D. S., Davis, H., & Pino-Pasternak, D. (2018). Parental behaviours predicting early childhood executive functions: A meta-analysis. Educational Psychology Review, 30(3), 607–649. https://doi.org/10.1007/s10648-017-9411-9CrossRef
Valcan, D. S., Davis, H., & Pino-Pasternak, D. (2018). Parental behaviours predicting early childhood executive functions: A meta-analysis. Educational Psychology Review, 30(3), 607–649. https://doi.org/10.1007/s10648-017-9411-9CrossRef
go back to reference Vernucci, S., Canet Juric, L., Introzzi, I., & Richard’s, M. M. (2020). Working memory training in children: A review of basic methodological criteria. Psychological Reports, 123(3), 605–632. https://doi.org/10.1177/0033294119832978CrossRefPubMed
Vernucci, S., Canet Juric, L., Introzzi, I., & Richard’s, M. M. (2020). Working memory training in children: A review of basic methodological criteria. Psychological Reports, 123(3), 605–632. https://doi.org/10.1177/0033294119832978CrossRefPubMed
go back to reference de Vries, H., van’t Riet, J., Spigt, M., Metsemakers, J., van den Akker, M., Vermunt, J. K., & Kremers, S. (2008). Clusters of lifestyle behaviors: Results from the Dutch SMILE study. Preventive Medicine, 46(3), 203–208. https://doi.org/10.1016/j.ypmed.2007.08.005CrossRefPubMed
de Vries, H., van’t Riet, J., Spigt, M., Metsemakers, J., van den Akker, M., Vermunt, J. K., & Kremers, S. (2008). Clusters of lifestyle behaviors: Results from the Dutch SMILE study. Preventive Medicine, 46(3), 203–208. https://doi.org/10.1016/j.ypmed.2007.08.005CrossRefPubMed
go back to reference Wang, H., Yang, Y., Xu, J., Niu, L., Zhang, Y., Shi, J., & Shen, L. (2023). Meta-analysis on the effects of moderate-intensity exercise intervention on executive functioning in children. PLoS ONE, 18(2), e0279846. https://doi.org/10.1371/journal.pone.0279846CrossRefPubMedPubMedCentral
Wang, H., Yang, Y., Xu, J., Niu, L., Zhang, Y., Shi, J., & Shen, L. (2023). Meta-analysis on the effects of moderate-intensity exercise intervention on executive functioning in children. PLoS ONE, 18(2), e0279846. https://doi.org/10.1371/journal.pone.0279846CrossRefPubMedPubMedCentral
go back to reference Warren, C., Riggs, N., & Pentz, M. A. (2016). Executive function mediates prospective relationships between sleep duration and sedentary behavior in children. Preventive Medicine, 91, 82–88. https://doi.org/10.1016/j.ypmed.2016.07.024CrossRefPubMedPubMedCentral
Warren, C., Riggs, N., & Pentz, M. A. (2016). Executive function mediates prospective relationships between sleep duration and sedentary behavior in children. Preventive Medicine, 91, 82–88. https://doi.org/10.1016/j.ypmed.2016.07.024CrossRefPubMedPubMedCentral
go back to reference Waters, L., Loton, D. J., Grace, D., Jacques-Hamilton, R., & Zyphur, M. J. (2019). Observing change over time in strength-based parenting and subjective wellbeing for pre-teens and teens. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.02273CrossRefPubMedPubMedCentral
Waters, L., Loton, D. J., Grace, D., Jacques-Hamilton, R., & Zyphur, M. J. (2019). Observing change over time in strength-based parenting and subjective wellbeing for pre-teens and teens. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.02273CrossRefPubMedPubMedCentral
go back to reference Wei, W., Jiang, W., Huang, J., Xu, J., Wang, X., & Han, T. (2021). Association of meal and snack patterns with mortality of all-cause, cardiovascular disease, and cancer: the us national health and nutrition examination survey, 2003 to 2014. Journal of the American Heart Association, 10(13), e020254. https://doi.org/10.1161/JAHA.120.020254CrossRefPubMedPubMedCentral
Wei, W., Jiang, W., Huang, J., Xu, J., Wang, X., & Han, T. (2021). Association of meal and snack patterns with mortality of all-cause, cardiovascular disease, and cancer: the us national health and nutrition examination survey, 2003 to 2014. Journal of the American Heart Association, 10(13), e020254. https://doi.org/10.1161/JAHA.120.020254CrossRefPubMedPubMedCentral
go back to reference Weintraub, S., Dikmen, S. S., Heaton, R. K., Tulsky, D. S., Zelazo, P. D., & Gershon, R. C. (2013). Cognition assessment using the NIH toolbox. Neurology, 80(11 Suppl 3), S54–S64. https://doi.org/10.1212/WNL.0b013e3182872dedCrossRefPubMedPubMedCentral
Weintraub, S., Dikmen, S. S., Heaton, R. K., Tulsky, D. S., Zelazo, P. D., & Gershon, R. C. (2013). Cognition assessment using the NIH toolbox. Neurology, 80(11 Suppl 3), S54–S64. https://doi.org/10.1212/WNL.0b013e3182872dedCrossRefPubMedPubMedCentral
go back to reference Wooten, T., Brown, E., Sullivan, D. R., Logue, M. W., Fortier, C. B., & Esterman, M. (2021). Apolipoprotein E (APOE) ε4 moderates the relationship between c-reactive protein, cognitive functioning, and white matter integrity. Brain, Behavior, and Immunity, 95, 84–95. https://doi.org/10.1016/j.bbi.2021.02.016CrossRefPubMed
Wooten, T., Brown, E., Sullivan, D. R., Logue, M. W., Fortier, C. B., & Esterman, M. (2021). Apolipoprotein E (APOE) ε4 moderates the relationship between c-reactive protein, cognitive functioning, and white matter integrity. Brain, Behavior, and Immunity, 95, 84–95. https://doi.org/10.1016/j.bbi.2021.02.016CrossRefPubMed
go back to reference Yang, Y., Shields, G. S., Wu, Q., Liu, Y., Chen, H., & Guo, C. (2019). Cognitive training on eating behaviour and weight loss: A meta-analysis and systematic review. Obesity Reviews, 20(11), 1628–1641. https://doi.org/10.1111/obr.12916CrossRefPubMed
Yang, Y., Shields, G. S., Wu, Q., Liu, Y., Chen, H., & Guo, C. (2019). Cognitive training on eating behaviour and weight loss: A meta-analysis and systematic review. Obesity Reviews, 20(11), 1628–1641. https://doi.org/10.1111/obr.12916CrossRefPubMed
go back to reference Yin, J., Jin, X., Shan, Z., Li, S., Huang, H., & Liu, L. (2017). Relationship of sleep duration with all-cause mortality and cardiovascular events: A systematic review and dose-response meta-analysis of prospective cohort studies. Journal of the American Heart Association, 6(9), e005947. https://doi.org/10.1161/JAHA.117.005947CrossRefPubMedPubMedCentral
Yin, J., Jin, X., Shan, Z., Li, S., Huang, H., & Liu, L. (2017). Relationship of sleep duration with all-cause mortality and cardiovascular events: A systematic review and dose-response meta-analysis of prospective cohort studies. Journal of the American Heart Association, 6(9), e005947. https://doi.org/10.1161/JAHA.117.005947CrossRefPubMedPubMedCentral
go back to reference Yu, E., & Lippert, A. M. (2016). Neighborhood crime rate, weight-related behaviors, and obesity: A systematic review of the literature. Sociology Compass, 10(3), 187–207. https://doi.org/10.1111/soc4.12356CrossRef
Yu, E., & Lippert, A. M. (2016). Neighborhood crime rate, weight-related behaviors, and obesity: A systematic review of the literature. Sociology Compass, 10(3), 187–207. https://doi.org/10.1111/soc4.12356CrossRef
go back to reference Zahl-Thanem, T., Steinsbekk, S., & Wichstrøm, L. (2018). Predictors of physical activity in middle childhood. A fixed-effects regression approach. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2018.00305CrossRefPubMedPubMedCentral
Zahl-Thanem, T., Steinsbekk, S., & Wichstrøm, L. (2018). Predictors of physical activity in middle childhood. A fixed-effects regression approach. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2018.00305CrossRefPubMedPubMedCentral
go back to reference Zelazo, P. D., Anderson, J. E., Richler, J., Wallner-Allen, K., Beaumont, J. L., & Weintraub, S. (2013a). Ii. Nih toolbox cognition battery (cb): Measuring executive function and attention. Monographs of the Society for Research in Child Development, 78(4), 16–33. https://doi.org/10.1111/mono.12032CrossRefPubMed
Zelazo, P. D., Anderson, J. E., Richler, J., Wallner-Allen, K., Beaumont, J. L., & Weintraub, S. (2013a). Ii. Nih toolbox cognition battery (cb): Measuring executive function and attention. Monographs of the Society for Research in Child Development, 78(4), 16–33. https://doi.org/10.1111/mono.12032CrossRefPubMed
go back to reference Zelazo, P. D., Bauer, P. J., & editors. (2013). National institutes of health toolbox—cognitive function battery (NIH Toolbox CFB): Validation for children between 3 and 15 years. Monographs of the Society for Research in Child Development, 78(4)
Zelazo, P. D., Bauer, P. J., & editors. (2013). National institutes of health toolbox—cognitive function battery (NIH Toolbox CFB): Validation for children between 3 and 15 years. Monographs of the Society for Research in Child Development, 78(4)
go back to reference Zheng, F., Yan, L., Yang, Z., Zhong, B., & Xie, W. (2018). HbA1c, diabetes and cognitive decline: The English longitudinal study of ageing. Diabetologia, 61(4), 839–848. https://doi.org/10.1007/s00125-017-4541-7CrossRefPubMedPubMedCentral
Zheng, F., Yan, L., Yang, Z., Zhong, B., & Xie, W. (2018). HbA1c, diabetes and cognitive decline: The English longitudinal study of ageing. Diabetologia, 61(4), 839–848. https://doi.org/10.1007/s00125-017-4541-7CrossRefPubMedPubMedCentral
go back to reference Álvarez-Bueno, C., Pesce, C., Cavero-Redondo, I., Sánchez-López, M., Martínez-Hortelano, J. A., & Martínez-Vizcaíno, V. (2017). The effect of physical activity interventions on children’s cognition and metacognition: A systematic review and meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry, 56(9), 729–738. https://doi.org/10.1016/j.jaac.2017.06.012CrossRefPubMed
Álvarez-Bueno, C., Pesce, C., Cavero-Redondo, I., Sánchez-López, M., Martínez-Hortelano, J. A., & Martínez-Vizcaíno, V. (2017). The effect of physical activity interventions on children’s cognition and metacognition: A systematic review and meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry, 56(9), 729–738. https://doi.org/10.1016/j.jaac.2017.06.012CrossRefPubMed
Metagegevens
- Titel
- Children’s executive functioning and health behaviors across pediatric life stages and ecological contexts
- Auteurs
-
Nichole R. Kelly
Derek Kosty
Yosef Bodovski
Courtney K. Blackwell
Jody M. Ganiban
Jenae M. Neiderhiser
Dana Dabelea
Diane Gilbert-Diamond
Judy L. Aschner
Theresa M. Bastain
Carrie V. Breton
Nicole R. Bush
Catrina A. Calub
Carlos A. Camargo
Marie Camerota
Lisa A. Croen
Amy J. Elliott
Michelle Bosquet Enlow
Assiamira Ferrara
Tina Hartert
Robert M. Joseph
Margaret R. Karagas
Rachel S. Kelly
Kristen Lyall
Kelsey E. Magee
Cindy T. McEvoy
Francheska M. Merced-Nieves
Thomas G. O’Connor
Sara Santarossa
Susan L. Schantz
Rebecca J. Schmidt
Joseph B. Stanford
Jennifer K. Straughen
Annemarie Stroustrup
Nicole M. Talge
Rosalind J. Wright
Qi Zhao
Leslie D. Leve
on behalf of program collaborators for Environmental influences on Child Health Outcomes
- Publicatiedatum
- 09-01-2025
- Uitgeverij
- Springer US
- Gepubliceerd in
-
Journal of Behavioral Medicine
/ Uitgave 2/2025
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521 - DOI
- https://doi.org/10.1007/s10865-024-00543-w
