Clinical Trials Logo

Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03882957
Other study ID # D19065
Secondary ID 1R21HD097475-01
Status Completed
Phase N/A
First received
Last updated
Start date June 5, 2019
Est. completion date March 12, 2020

Study information

Verified date May 2022
Source Dartmouth-Hitchcock Medical Center
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Childhood obesity is a critical public health problem in the United States. One factor known to contribute to childhood obesity is excess consumption. Importantly, excess consumption related to weight gain is not necessarily driven by hunger. For example, environmental food cues stimulate brain reward regions and lead to overeating even after a child has eaten to satiety. This type of cued eating is associated with increased attention to food cues; the amount of time a child spends looking at food cues (e.g., food advertisements) is associated with increased caloric intake. However, individual susceptibility to environmental food cues remains unknown. It is proposed that the prevalent practice of media multi-tasking-simultaneously attending to multiple electronic media sources-increases attention to peripheral food cues in the environment and thereby plays an important role in the development of obesity. It is hypothesized that multi-tasking teaches children to engage in constant task switching that makes them more responsive to peripheral cues, many of which are potentially harmful (such as those that promote overeating). The overarching hypothesis is that media multi-tasking alters the attentional networks of the brain that control attention to environmental cues. High media multi-tasking children are therefore particularly susceptible to food cues, thereby leading to increased cued eating. It is also predicted that attention modification training can provide a protective effect against detrimental attentional processing caused multi-tasking, by increasing the proficiency of the attention networks. These hypotheses will be tested by assessing the pathway between media-multitasking, attention to food cues, and cued eating. It will also be examined whether it is possible to intervene on this pathway by piloting an at-home attention modification training intervention designed to reduce attention to food cues. It is our belief that this research will lead to the development of low-cost, scalable tools that can train attention networks so that children are less influenced by peripheral food cues, a known cause of overeating. For example, having children practice attention modification intervention tasks regularly (which could be accomplished through user-friendly computer games or cell phone/tablet apps) might offset the negative attentional effects of media multi-tasking.


Description:

[3/14/2020]: Study recruitment temporarily halted due to the COVID-19 pandemic


Recruitment information / eligibility

Status Completed
Enrollment 92
Est. completion date March 12, 2020
Est. primary completion date March 12, 2020
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 13 Years to 17 Years
Eligibility Inclusion Criteria: - N/A. Exclusion Criteria: - Inadequate English proficiency, a vision disorder that is not corrected with corrective lenses, and relevant food allergies.

Study Design


Related Conditions & MeSH terms


Intervention

Behavioral:
Sustained attention
participants will complete a sustained attention task
media multi-task
participants will complete multiple media tasks at the same time
Other:
Video
participants will watch a video of media tasks being completed

Locations

Country Name City State
United States Dartmouth-Hithchock Medical Center Lebanon New Hampshire

Sponsors (3)

Lead Sponsor Collaborator
Dartmouth-Hitchcock Medical Center Dartmouth College, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

Country where clinical trial is conducted

United States, 

References & Publications (73)

Adler SA, Gallego P. Search asymmetry and eye movements in infants and adults. Atten Percept Psychophys. 2014 Aug;76(6):1590-608. doi: 10.3758/s13414-014-0667-6. — View Citation

Alzahabi R, Becker MW. The association between media multitasking, task-switching, and dual-task performance. J Exp Psychol Hum Percept Perform. 2013 Oct;39(5):1485-1495. doi: 10.1037/a0031208. Epub 2013 Feb 11. — View Citation

Amir N, Weber G, Beard C, Bomyea J, Taylor CT. The effect of a single-session attention modification program on response to a public-speaking challenge in socially anxious individuals. J Abnorm Psychol. 2008 Nov;117(4):860-868. doi: 10.1037/a0013445. — View Citation

Armstrong T, Olatunji BO. Eye tracking of attention in the affective disorders: a meta-analytic review and synthesis. Clin Psychol Rev. 2012 Dec;32(8):704-23. doi: 10.1016/j.cpr.2012.09.004. Epub 2012 Sep 20. Review. — View Citation

Birch LL, Fisher JO. Development of eating behaviors among children and adolescents. Pediatrics. 1998 Mar;101(3 Pt 2):539-49. Review. — View Citation

Biro FM, Wien M. Childhood obesity and adult morbidities. Am J Clin Nutr. 2010 May;91(5):1499S-1505S. doi: 10.3945/ajcn.2010.28701B. Epub 2010 Mar 24. Review. — View Citation

Boswell RG, Kober H. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review. Obes Rev. 2016 Feb;17(2):159-77. doi: 10.1111/obr.12354. Epub 2015 Dec 8. Review. — View Citation

Boutelle KN, Kuckertz JM, Carlson J, Amir N. A pilot study evaluating a one-session attention modification training to decrease overeating in obese children. Appetite. 2014 May;76:180-5. doi: 10.1016/j.appet.2014.01.075. Epub 2014 Feb 8. — View Citation

Brockmeyer T, Hahn C, Reetz C, Schmidt U, Friederich HC. Approach bias and cue reactivity towards food in people with high versus low levels of food craving. Appetite. 2015 Dec;95:197-202. doi: 10.1016/j.appet.2015.07.013. Epub 2015 Jul 13. — View Citation

Brooks-Gunn J, Warren MP, Rosso J, Gargiulo J. Validity of self-report measures of girls' pubertal status. Child Dev. 1987 Jun;58(3):829-41. — View Citation

Bruce AS, Holsen LM, Chambers RJ, Martin LE, Brooks WM, Zarcone JR, Butler MG, Savage CR. Obese children show hyperactivation to food pictures in brain networks linked to motivation, reward and cognitive control. Int J Obes (Lond). 2010 Oct;34(10):1494-500. doi: 10.1038/ijo.2010.84. Epub 2010 May 4. — View Citation

Carskadon MA, Acebo C. A self-administered rating scale for pubertal development. J Adolesc Health. 1993 May;14(3):190-5. — View Citation

Castellanos EH, Charboneau E, Dietrich MS, Park S, Bradley BP, Mogg K, Cowan RL. Obese adults have visual attention bias for food cue images: evidence for altered reward system function. Int J Obes (Lond). 2009 Sep;33(9):1063-73. doi: 10.1038/ijo.2009.138. Epub 2009 Jul 21. — View Citation

CDC growth charts: United States [Internet]. Washington, DC. Available from: http://www.cdc.gov.growthcharts

Corbetta M, Patel G, Shulman GL. The reorienting system of the human brain: from environment to theory of mind. Neuron. 2008 May 8;58(3):306-24. doi: 10.1016/j.neuron.2008.04.017. Review. — View Citation

Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002 Mar;3(3):201-15. Review. — View Citation

Daniels SR, Arnett DK, Eckel RH, Gidding SS, Hayman LL, Kumanyika S, Robinson TN, Scott BJ, St Jeor S, Williams CL. Overweight in children and adolescents: pathophysiology, consequences, prevention, and treatment. Circulation. 2005 Apr 19;111(15):1999-2012. Review. — View Citation

Davids S, Lauffer H, Thoms K, Jagdhuhn M, Hirschfeld H, Domin M, Hamm A, Lotze M. Increased dorsolateral prefrontal cortex activation in obese children during observation of food stimuli. Int J Obes (Lond). 2010 Jan;34(1):94-104. doi: 10.1038/ijo.2009.193. Epub 2009 Oct 6. — View Citation

Demos KE, Heatherton TF, Kelley WM. Individual differences in nucleus accumbens activity to food and sexual images predict weight gain and sexual behavior. J Neurosci. 2012 Apr 18;32(16):5549-52. doi: 10.1523/JNEUROSCI.5958-11.2012. — View Citation

Dixon HG, Scully ML, Wakefield MA, White VM, Crawford DA. The effects of television advertisements for junk food versus nutritious food on children's food attitudes and preferences. Soc Sci Med. 2007 Oct;65(7):1311-23. Epub 2007 Jun 22. — View Citation

Duc AH, Bays P, Husain M. Eye movements as a probe of attention. Prog Brain Res. 2008;171:403-11. doi: 10.1016/S0079-6123(08)00659-6. — View Citation

Emond JA, Lansigan RK, Ramanujam A, Gilbert-Diamond D. Randomized Exposure to Food Advertisements and Eating in the Absence of Hunger Among Preschoolers. Pediatrics. 2016 Dec;138(6). pii: e20162361. — View Citation

Federico F, Marotta A, Martella D, Casagrande M. Development in attention functions and social processing: Evidence from the Attention Network Test. Br J Dev Psychol. 2017 Jun;35(2):169-185. doi: 10.1111/bjdp.12154. Epub 2016 Aug 4. — View Citation

Fisher JO, Birch LL. Eating in the absence of hunger and overweight in girls from 5 to 7 y of age. Am J Clin Nutr. 2002 Jul;76(1):226-31. — View Citation

Folkvord F, Anschütz DJ, Wiers RW, Buijzen M. The role of attentional bias in the effect of food advertising on actual food intake among children. Appetite. 2015 Jan;84:251-8. doi: 10.1016/j.appet.2014.10.016. Epub 2014 Oct 22. — View Citation

Gilbert-Diamond D, Emond JA, Lansigan RK, Rapuano KM, Kelley WM, Heatherton TF, Sargent JD. Television food advertisement exposure and FTO rs9939609 genotype in relation to excess consumption in children. Int J Obes (Lond). 2017 Jan;41(1):23-29. doi: 10.1038/ijo.2016.163. Epub 2016 Sep 22. — View Citation

Gorman TE, Green CS. Short-term mindfulness intervention reduces the negative attentional effects associated with heavy media multitasking. Sci Rep. 2016 Apr 18;6:24542. doi: 10.1038/srep24542. — View Citation

Guyenet SJ, Schwartz MW. Clinical review: Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity. J Clin Endocrinol Metab. 2012 Mar;97(3):745-55. doi: 10.1210/jc.2011-2525. Epub 2012 Jan 11. Review. — View Citation

Han JC, Lawlor DA, Kimm SY. Childhood obesity. Lancet. 2010 May 15;375(9727):1737-48. doi: 10.1016/S0140-6736(10)60171-7. Epub 2010 May 5. Review. — View Citation

Hardman CA, Rogers PJ, Etchells KA, Houstoun KV, Munafò MR. The effects of food-related attentional bias training on appetite and food intake. Appetite. 2013 Dec;71:295-300. doi: 10.1016/j.appet.2013.08.021. Epub 2013 Sep 8. — View Citation

Heatherton TF, Wagner DD. Cognitive neuroscience of self-regulation failure. Trends Cogn Sci. 2011 Mar;15(3):132-9. doi: 10.1016/j.tics.2010.12.005. Epub 2011 Jan 26. Review. — View Citation

Hendrikse JJ, Cachia RL, Kothe EJ, McPhie S, Skouteris H, Hayden MJ. Attentional biases for food cues in overweight and individuals with obesity: a systematic review of the literature. Obes Rev. 2015 May;16(5):424-32. doi: 10.1111/obr.12265. Epub 2015 Mar 5. Review. — View Citation

Hickey C, Peelen MV. Neural mechanisms of incentive salience in naturalistic human vision. Neuron. 2015 Feb 4;85(3):512-8. doi: 10.1016/j.neuron.2014.12.049. — View Citation

Hill C, Llewellyn CH, Saxton J, Webber L, Semmler C, Carnell S, van Jaarsveld CH, Boniface D, Wardle J. Adiposity and 'eating in the absence of hunger' in children. Int J Obes (Lond). 2008 Oct;32(10):1499-505. doi: 10.1038/ijo.2008.113. Epub 2008 Jul 22. — View Citation

Hill JO, Peters JC. Environmental contributions to the obesity epidemic. Science. 1998 May 29;280(5368):1371-4. Review. — View Citation

Hill LJ, Coats RO, Mushtaq F, Williams JH, Aucott LS, Mon-Williams M. Moving to Capture Children's Attention: Developing a Methodology for Measuring Visuomotor Attention. PLoS One. 2016 Jul 19;11(7):e0159543. doi: 10.1371/journal.pone.0159543. eCollection 2016. — View Citation

Hillman CH, Pontifex MB, Raine LB, Castelli DM, Hall EE, Kramer AF. The effect of acute treadmill walking on cognitive control and academic achievement in preadolescent children. Neuroscience. 2009 Mar 31;159(3):1044-54. doi: 10.1016/j.neuroscience.2009.01.057. Epub 2009 Feb 3. — View Citation

Hou Y, Liu T. Neural correlates of object-based attentional selection in human cortex. Neuropsychologia. 2012 Oct;50(12):2916-2925. doi: 10.1016/j.neuropsychologia.2012.08.022. Epub 2012 Sep 4. — View Citation

Jha AP, Krompinger J, Baime MJ. Mindfulness training modifies subsystems of attention. Cogn Affect Behav Neurosci. 2007 Jun;7(2):109-19. — View Citation

Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, Hu G, Johnson WD, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tremblay MS, Tudor-Locke C, Zhao P, Church TS. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013 Sep 30;13:900. doi: 10.1186/1471-2458-13-900. — View Citation

Kemps E, Tiggemann M, Orr J, Grear J. Attentional retraining can reduce chocolate consumption. J Exp Psychol Appl. 2014 Mar;20(1):94-102. doi: 10.1037/xap0000005. Epub 2013 Sep 30. — View Citation

Kleiman T, Trope Y, Amodio DM. Cognitive control modulates attention to food cues: Support for the control readiness model of self-control. Brain Cogn. 2016 Dec;110:94-101. doi: 10.1016/j.bandc.2016.04.006. Epub 2016 May 3. — View Citation

Lawrence NS, Hinton EC, Parkinson JA, Lawrence AD. Nucleus accumbens response to food cues predicts subsequent snack consumption in women and increased body mass index in those with reduced self-control. Neuroimage. 2012 Oct 15;63(1):415-22. doi: 10.1016/j.neuroimage.2012.06.070. Epub 2012 Jul 6. — View Citation

LeBlanc AG, Katzmarzyk PT, Barreira TV, Broyles ST, Chaput JP, Church TS, Fogelholm M, Harrington DM, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tudor-Locke C, Zhao P, Tremblay MS; ISCOLE Research Group. Correlates of Total Sedentary Time and Screen Time in 9-11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment. PLoS One. 2015 Jun 11;10(6):e0129622. doi: 10.1371/journal.pone.0129622. eCollection 2015. — View Citation

Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign Ill: Human Kinetics Books; 1991.

Lutter M, Nestler EJ. Homeostatic and hedonic signals interact in the regulation of food intake. J Nutr. 2009 Mar;139(3):629-32. doi: 10.3945/jn.108.097618. Epub 2009 Jan 28. Review. — View Citation

Marshall TA, Eichenberger Gilmore JM, Broffitt B, Stumbo PJ, Levy SM. Relative validity of the Iowa Fluoride Study targeted nutrient semi-quantitative questionnaire and the block kids' food questionnaire for estimating beverage, calcium, and vitamin D intakes by children. J Am Diet Assoc. 2008 Mar;108(3):465-72. doi: 10.1016/j.jada.2007.12.002. — View Citation

Mitchell JA, Pate RR, Beets MW, Nader PR. Time spent in sedentary behavior and changes in childhood BMI: a longitudinal study from ages 9 to 15 years. Int J Obes (Lond). 2013 Jan;37(1):54-60. doi: 10.1038/ijo.2012.41. Epub 2012 Mar 20. — View Citation

Moisala M, Salmela V, Hietajärvi L, Salo E, Carlson S, Salonen O, Lonka K, Hakkarainen K, Salmela-Aro K, Alho K. Media multitasking is associated with distractibility and increased prefrontal activity in adolescents and young adults. Neuroimage. 2016 Jul 1;134:113-121. doi: 10.1016/j.neuroimage.2016.04.011. Epub 2016 Apr 8. — View Citation

Mrazek MD, Smallwood J, Schooler JW. Mindfulness and mind-wandering: finding convergence through opposing constructs. Emotion. 2012 Jun;12(3):442-448. doi: 10.1037/a0026678. Epub 2012 Feb 6. — View Citation

Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014 Feb 26;311(8):806-14. doi: 10.1001/jama.2014.732. — View Citation

Ophir E, Nass C, Wagner AD. Cognitive control in media multitaskers. Proc Natl Acad Sci U S A. 2009 Sep 15;106(37):15583-7. doi: 10.1073/pnas.0903620106. Epub 2009 Aug 24. — View Citation

Owens JA, Spirito A, McGuinn M. The Children's Sleep Habits Questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children. Sleep. 2000 Dec 15;23(8):1043-51. — View Citation

Petersen AC, Crockett L, Richards M, Boxer A. A self-report measure of pubertal status: Reliability, validity, and initial norms. J Youth Adolesc. 1988 Apr;17(2):117-33. doi: 10.1007/BF01537962. — View Citation

Petersen SE, Posner MI. The attention system of the human brain: 20 years after. Annu Rev Neurosci. 2012;35:73-89. doi: 10.1146/annurev-neuro-062111-150525. Epub 2012 Apr 12. Review. — View Citation

Posner MI, Petersen SE. The attention system of the human brain. Annu Rev Neurosci. 1990;13:25-42. Review. — View Citation

Pozuelos JP, Paz-Alonso PM, Castillo A, Fuentes LJ, Rueda MR. Development of attention networks and their interactions in childhood. Dev Psychol. 2014 Oct;50(10):2405-15. doi: 10.1037/a0037469. Epub 2014 Jul 28. — View Citation

Ralph BC, Thomson DR, Seli P, Carriere JS, Smilek D. Media multitasking and behavioral measures of sustained attention. Atten Percept Psychophys. 2015 Feb;77(2):390-401. doi: 10.3758/s13414-014-0771-7. — View Citation

Rapuano KM, Zieselman AL, Kelley WM, Sargent JD, Heatherton TF, Gilbert-Diamond D. Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues. Proc Natl Acad Sci U S A. 2017 Jan 3;114(1):160-165. doi: 10.1073/pnas.1605548113. Epub 2016 Dec 19. — View Citation

Rideout VJ, Foehr UG, Roberts DF. Generation M2: Media in the lives of 8- to 10-year olds. 2010 Jan.

Rideout VJ. Zero to eight: Children's media use in America 2013. New York, New York: Common Sense Media.

Robertson IH, Manly T, Andrade J, Baddeley BT, Yiend J. 'Oops!': performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia. 1997 Jun;35(6):747-58. — View Citation

Rodearmel SJ, Wyatt HR, Stroebele N, Smith SM, Ogden LG, Hill JO. Small changes in dietary sugar and physical activity as an approach to preventing excessive weight gain: the America on the Move family study. Pediatrics. 2007 Oct;120(4):e869-79. — View Citation

Rueda MR, Fan J, McCandliss BD, Halparin JD, Gruber DB, Lercari LP, Posner MI. Development of attentional networks in childhood. Neuropsychologia. 2004;42(8):1029-40. — View Citation

Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Prev Med. 1993 Mar;22(2):167-77. Review. — View Citation

Sturm W, Thimm M, Küst J, Karbe H, Fink GR. Alertness-training in neglect: behavioral and imaging results. Restor Neurol Neurosci. 2006;24(4-6):371-84. — View Citation

Thimm M, Fink GR, Küst J, Karbe H, Sturm W. Impact of alertness training on spatial neglect: a behavioural and fMRI study. Neuropsychologia. 2006;44(7):1230-46. Epub 2005 Nov 8. — View Citation

Wagner DD, Altman M, Boswell RG, Kelley WM, Heatherton TF. Self-regulatory depletion enhances neural responses to rewards and impairs top-down control. Psychol Sci. 2013 Nov 1;24(11):2262-71. doi: 10.1177/0956797613492985. Epub 2013 Sep 11. — View Citation

Wagner DD, Boswell RG, Kelley WM, Heatherton TF. Inducing negative affect increases the reward value of appetizing foods in dieters. J Cogn Neurosci. 2012 Jul;24(7):1625-33. doi: 10.1162/jocn_a_00238. Epub 2012 Apr 23. — View Citation

Wardle J, Guthrie CA, Sanderson S, Rapoport L. Development of the Children's Eating Behaviour Questionnaire. J Child Psychol Psychiatry. 2001 Oct;42(7):963-70. — View Citation

Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997 Sep 25;337(13):869-73. — View Citation

Yager LM, Robinson TE. Cue-induced reinstatement of food seeking in rats that differ in their propensity to attribute incentive salience to food cues. Behav Brain Res. 2010 Dec 6;214(1):30-4. doi: 10.1016/j.bbr.2010.04.021. Epub 2010 Apr 21. — View Citation

Yap JY, Lim SWH. Media multitasking predicts unitary versus splitting visual focal attention. Journal of Cognitive Psychology. Routledge; 2013 Nov;25(7):889-902.

* Note: There are 73 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Amount of Time Spent Looking at Food Cues While Playing a Media Game Eye-tracking will be used to measure the amount of time spent looking at static food cues while participants play a media game on the computer. The amount time spent looking at a food cue is a measure how much attention was given to the food cue. The longer the looking time, the greater amount of attention. approximately 15 minutes post-intervention
Primary Amount of Snack Foods Consumed Post-intervention The amount of kcals consumed of snack foods after participants have completed the intervention. approximately 30 minutes post-intervention
Primary Daily Usual Media Multi-tasking Participants reported on their usual media multitasking using the short form media multitasking index. This index asks about media multitasking with other print and digital media during four primary activities: 1) watching television or movies, 2) playing video games, 3) reading books or magazines (not assigned for school), and 4) doing homework. For each activity, participants reported the frequency with which they multitasked by engaging in the other activities by using a 5-point likert scale (i.e., 0=Never, 1=Rarely, 2=Sometimes, 3=Often, 4=Always). A usual media multitasking score was computed by taking the average of the Likert response. The score ranges from 0 to 4 with a higher score indicative of higher self-reported usual media multitasking. approximately 10 minutes prior to the intervention
See also
  Status Clinical Trial Phase
Not yet recruiting NCT03994419 - PErioperAtive CHildhood ObesitY
Active, not recruiting NCT06259539 - A YouTube Curriculum for Children With Autism and Obesity N/A
Completed NCT03533621 - Gut Microbiome, Adiposity, and Probiotics (GMAP) N/A
Completed NCT03641521 - A Trial to Increase Child Vegetable Intake Through Behavioral Strategies N/A
Completed NCT04009304 - Effective Training Models for Implementing Health-Promoting Practices Afterschool N/A
Completed NCT05563311 - Functional Assessment and Sleep Apnea in Obese Children and Adolescents N/A
Terminated NCT03586544 - Reducing Exercise-induced Bronchoconstriction in Children With Asthma and Obesity Phase 4
Completed NCT03575884 - Fit 5 Kids Screen Time Reduction Curriculum for Latino Preschoolers N/A
Completed NCT04628897 - Physical Activity and the Home Environment in Preschool-aged Children in Urban Bangladesh
Completed NCT03399617 - SPOON: Sustained Program for Improving Nutrition - Guatemala N/A
Enrolling by invitation NCT06265597 - The Effect of Healthy Nutrition and Yoga Program on Obese Children N/A
Active, not recruiting NCT03843424 - Treatment Efforts Addressing Child Weight Management by Unifying Patients, Parents & Providers N/A
Completed NCT03170700 - Online Videos and New Feeding Content to Enhance a Current EFNEP Program N/A
Not yet recruiting NCT06464497 - Whole Foods for Teens: A Pilot Dietary Intervention to Reduce Body Adiposity in Adolescents With Obesity N/A
Enrolling by invitation NCT05551650 - El Sendero: Pathways to Health Study
Completed NCT04346433 - Sleep and Stigma: Novel Moderators in the Relationship Between Weight Status and Cognitive Function N/A
Recruiting NCT03963557 - Cognitive Function and Body Mass Index in Children and Adolescents
Completed NCT03495310 - Effect of Mindfulness on Stress, Appetite Hormones and Body Weight of Obese Schoolchildren. Controlled Clinical Trial N/A
Recruiting NCT06028113 - A Novel Obesity Prevention Program for High-Risk Infants in Primary Care Phase 2
Active, not recruiting NCT05465057 - "HIIT Med Kiloene". N/A