Relationships between physical activity, healthy eating and cortical thickness in children and young adults

2015–2020 Dietary Guidelines | health.gov. (n.d.). Retrieved April 9, from https://health.gov/our-work/food-nutrition/previous-dietary-guidelines/2015

Agustina, R., Meilianawati, Fenny, K. A., Lestari, W., Pritasari, K., & Shankar, A. H. (2021). Psychosocial, Eating Behavior, and Lifestyle Factors Influencing Overweight and Obesity in Adolescents. Food and Nutrition Bulletin, 42(1_suppl), S72–S91. https://doi.org/10.1177/0379572121992750

Article  PubMed  Google Scholar 

Balkau, B., Mhamdi, L., Oppert, J. M., Nolan, J., Golay, A., Porcellati, F., Laakso, M., Ferrannini, E., & EGIR-RISC Study Group. (2008). Physical activity and insulin sensitivity: the RISC study. Diabetes, 57(10), 2613–2618. https://doi.org/10.2337/db07-1605

Article  CAS  PubMed  PubMed Central  Google Scholar 

Best, J. R. (2020). Physical fitness and age-related differences in cognition and cortical thickness in young adulthood. Developmental Psychology, 56(10), 1984–1998. https://doi.org/10.1037/dev0001097

Article  PubMed  Google Scholar 

Biro, B., Hulshof, K. F. A. M., Ovesen, L., & Cruz, J. A. (2002). Selection of methodology to assess food intake. European Journal of Clinical Nutrition, 56(S2), S25

Article  PubMed  Google Scholar 

Bouchonville, M., Armamento-Villareal, R., Shah, K., Napoli, N., Sinacore, D. R., Qualls, C., & Villareal, D. T. (2014). Weight loss, exercise or both and cardiometabolic risk factors in obese older adults: results of a randomized controlled trial. International journal of obesity, 38(3), 423–431

Article  CAS  PubMed  Google Scholar 

Castro, M. G., Venutolo, C., Yau, P. L., & Convit, A. (2016). Fitness, insulin sensitivity, and frontal lobe integrity in adults with overweight and obesity: Fitness, Insulin Sensitivity, and Brain. Obesity (Silver Spring, Md.), 24(6), 1283–1289. https://doi.org/10.1002/oby.21500

Article  CAS  Google Scholar 

CDC (2018). Defining Adult Overweight and Obesity | Overweight & Obesity. https://www.cdc.gov/obesity/adult/defining.html

CDC. (2021) About Child and Teen BMI. Centers for Disease Control and Prevention. https://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html

CDC.(2022, May 17) Adult Obesity Facts, Childhood Obesity Facts /Overweight & Obesity https://www.cdc.gov/obesity/data/adult.html, https://www.cdc.gov/obesity/data/childhood.html

CDC. (2022, January 18) National Diabetes Statistics Report https://www.cdc.gov/diabetes/data/statistics-report/index.html

Chaddock, L., Erickson, K. I., Prakash, R. S., Kim, J. S., Voss, M. W., Vanpatter, M., Pontifex, M. B., Raine, L. B., Konkel, A., Hillman, C. H., Cohen, N. J., & Kramer, A. F. (2010). A neuroimaging investigation of the association between aerobic fitness, hippocampal volume, and memory performance in preadolescent children. Brain research, 1358, 172–183. https://doi.org/10.1016/j.brainres.2010.08.049

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chaddock-Heyman, L., Erickson, K. I., Kienzler, C., King, M., Pontifex, M. B., Raine, L. B., Hillman, C. H., & Kramer, A. F. (2015). The Role of Aerobic Fitness in Cortical Thickness and Mathematics Achievement in Preadolescent Children. PLOS ONE, 10(8), e0134115. https://doi.org/10.1371/journal.pone.0134115

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chaddock-Heyman, L., Weng, T. B., Loui, P., Kienzler, C., Weisshappel, R., Drollette, E. S., Raine, L. B., Westfall, D., Kao, S. C., Pindus, D. M., Baniqued, P., Castelli, D. M., Hillman, C. H., & Kramer, A. F. (2021). Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention. Psychophysiology, 58(10), e13890. https://doi.org/10.1111/psyp.13890

Article  PubMed  PubMed Central  Google Scholar 

Chan, M. Y., Na, J., Agres, P. F., Savalia, N. K., Park, D. C., & Wig, G. S. (2018). Socioeconomic status moderates age-related differences in the brain’s functional network organization and anatomy across the adult lifespan. Proceedings of the National Academy of Sciences of the United States of America, 115(22), E5144–E5153. https://doi.org/10.1073/pnas.1714021115

Article  CAS  PubMed  PubMed Central  Google Scholar 

Crova, C., Struzzolino, I., Marchetti, R., Masci, I., Vannozzi, G., Forte, R., & Pesce, C. (2014). Cognitively challenging physical activity benefits executive function in overweight children. Journal of Sports Sciences, 32(3), 201–211. https://doi.org/10.1080/02640414.2013.828849

Article  PubMed  Google Scholar 

Daly, M., McMinn, D., & Allan, J. L. (2015). A bidirectional relationship between physical activity and executive function in older adults. Frontiers in Human Neuroscience, 8, 1044. https://doi.org/10.3389/fnhum.2014.01044

Article  PubMed  PubMed Central  Google Scholar 

DeSalvo, K. B., Olson, R., & Casavale, K. O. (2016). Dietary Guidelines for Americans. Journal Of The American Medical Association, 315(5), 457–458. https://doi.org/10.1001/jama.2015.18396

Article  CAS  PubMed  Google Scholar 

Dollman, J., Stanley, R., & Wilson, A. (2015). The concurrent validity of the 3-Day Physical Activity Recall in Australian youth. Pediatric Exercise Science, 27(2), 262–267

Article  PubMed  Google Scholar 

Dorton, H. M., Luo, S., Monterosso, J. R., & Page, K. A. (2018). Influences of Dietary Added Sugar Consumption on Striatal Food-Cue Reactivity and Postprandial GLP-1 Response. Frontiers in Psychiatry, 8. https://doi.org/10.3389/fpsyt.2017.00297

Elosua, R., Molina, L., Fito, M., Arquer, A., Sanchez-Quesada, J. L., Covas, M. I., Ordoñez-Llanos, J., & Marrugat, J. (2003). Response of oxidative stress biomarkers to a 16-week aerobic physical activity program, and to acute physical activity, in healthy young men and women. Atherosclerosis, 167(2), 327–334. https://doi.org/10.1016/s0021-9150(03)00018-2

Article  CAS  PubMed  Google Scholar 

Erickson, K. I., Raji, C. A., Lopez, O. L., Becker, J. T., Rosano, C., Newman, A. B., Gach, H. M., Thompson, P. M., Ho, A. J., & Kuller, L. H. (2010). Physical activity predicts gray matter volume in late adulthood: The Cardiovascular Health Study. Neurology, 75(16), 1415–1422. https://doi.org/10.1212/WNL.0b013e3181f88359

Article  CAS  PubMed  PubMed Central  Google Scholar 

Esteban-Cornejo, I., Mora-Gonzalez, J., Cadenas-Sanchez, C., Contreras-Rodriguez, O., Verdejo-Román, J., Henriksson, P., Migueles, J. H., Rodriguez-Ayllon, M., Molina-García, P., Suo, C., Hillman, C. H., Kramer, A. F., Erickson, K. I., Catena, A., Verdejo-García, A., & Ortega, F. B. (2019). Fitness, cortical thickness and surface area in overweight/obese children: The mediating role of body composition and relationship with intelligence. Neuroimage, 186, 771–781. https://doi.org/10.1016/j.neuroimage.2018.11.047

Article  PubMed  Google Scholar 

Falck, R. S., Hsu, C. L., Best, J. R., Li, L. C., Egbert, A. R., & Liu-Ambrose, T. (2020). Not Just for Joints: The Associations of Moderate-to-Vigorous Physical Activity and Sedentary Behavior with Brain Cortical Thickness. Medicine & Science in Sports & Exercise, 52(10), 2217–2223. https://doi.org/10.1249/MSS.0000000000002374

Article  Google Scholar 

Feskanich, D., Sielaff, B. H., Chong, K., & Buzzard, I. M. (1989). Computerized collection and analysis of dietary intake information. Computer Methods and Programs in Biomedicine, 30(1), 47–57. https://doi.org/10.1016/0169-2607(89)90122-3

Article  CAS  PubMed  Google Scholar 

Fitó, M., Guxens, M., Corella, D., Sáez, G., Estruch, R., de la Torre, R., Francés, F., Cabezas, C., López-Sabater, M., Marrugat, J., García-Arellano, A., Arós, F., Ruiz-Gutierrez, V., Ros, E., Salas-Salvadó, J., Fiol, M., Solá, R., Covas, M. I., & PREDIMED Study Investigators. (2007). Effect of a traditional Mediterranean diet on lipoprotein oxidation: a randomized controlled trial. Archives of internal medicine, 167(11), 1195–1203. https://doi.org/10.1001/archinte.167.11.1195

Article  PubMed  Google Scholar 

Ford, E. S. (2002). Does exercise reduce inflammation? Physical activity and C-reactive protein among US adults.Epidemiology,561–568

Foster, E., & Bradley, J. (2018). Methodological considerations and future insights for 24-hour dietary recall assessment in children. Nutrition Research (New York N Y), 51, 1–11. https://doi.org/10.1016/j.nutres.2017.11.001

Article  CAS  Google Scholar 

Frangou, S., Modabbernia, A., Williams, S., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. N., Albajes-Eizagirre, A., Alnaes, D., Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O. A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., & Dima, D. (2022). Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years. Human brain mapping, 43(1), 431–451. https://doi.org/10.1002/hbm.25364

Article  PubMed  Google Scholar 

Geertsen, S. S., Thomas, R., Larsen, M. N., Dahn, I. M., Andersen, J. N., Krause-Jensen, M., Korup, V., Nielsen, C. M., Wienecke, J., Ritz, C., Krustrup, P., & Lundbye-Jensen, J. (2016). Motor Skills and Exercise Capacity Are Associated with Objective Measures of Cognitive Functions and Academic Performance in Preadolescent Children. PLOS ONE, 11(8), e0161960. https://doi.org/10.1371/journal.pone.0161960

Article  CAS  PubMed  PubMed Central  Google Scholar 

Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999). Brain development during childhood and adolescence: a longitudinal MRI study. Nature neuroscience, 2(10), 861–863. https://doi.org/10.1038/13158

Article  CAS  PubMed  Google Scholar 

Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F. 3rd, Herman, D. H., Clasen, L. S., Toga, A. W., Rapoport, J. L., & Thompson, P. M. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences of the United States of America, 101(21), 8174–8179. https://doi.org/10.1073/pnas.0402680101

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gu, Y., Brickman, A. M., Stern, Y., Habeck, C. G., Razlighi, Q. R., Luchsinger, J. A., Manly, J. J., Schupf, N., Mayeux, R., & Scarmeas, N. (2015). Mediterranean diet and brain structure in a multiethnic elderly cohort. Neurology, 85(20), 1744–1751. https://doi.org/10.1212/WNL.0000000000002121

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hagberg, H., Mallard, C., Ferriero, D. M., Vannucci, S. J., Levison, S. W., Vexler, Z. S., & Gressens, P. (2015). The role of inflammation in perinatal brain injury. Nature reviews Neurology, 11(4), 192–208. https://doi.org/10.1038/nrneurol.2015.13

Article  CAS  PubMed  PubMed Central  Google Scholar 

Han, J. L., & Dinger, M. K. (2009). Validity of a Self-Administered 3-Day Physical Activity Recall in Young Adults. American Journal of Health Education, 40(1), 5–13. https://doi.org/10.1080/19325037.2009.10599073

Article  Google Scholar 

HEI Scores for Americans | USDA-FNS. (n.d.). Retrieved April 21, from https://www.fns.usda.gov/hei-scores-americans

Johnson, R. K., Driscoll, P., & Goran, M. I. (1996). Comparison of Multiple-Pass 24-Hour Recall Estimates of Energy Intake With Total Energy Expenditure Determined By the Doubly Labeled Water Method in Young Children. Journal of the American Dietetic Association, 96(11), 1140–1144. https://doi.org/10.1016/S0002-8223(96)00293-3

Article  CAS  PubMed  Google Scholar 

Jones, S., Luo, S., Dorton, H. M., Yunker, A. G., Angelo, B., Defendis, A., Monterosso, J. R., & Page, K. A. (2021). Obesity and Dietary Added Sugar Interact to Affect Postprandial GLP-1 and Its Relationship to Striatal Responses to Food Cues and Feeding Behavior. Frontiers in Endocrinology, 12, 197. https://doi.org/10.3389/fendo.2021.638504

Article  Google Scholar 

Kamijo, K., & Takeda, Y. (2010). Regular physical activity improves executive function during task switching in young adults. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology, 75(3), 304–311.

留言 (0)

沒有登入
gif