Improving Cardiometabolic Health of Youth on Antipsychotic Medication
A Community-based, Family Navigator Intervention to Improve Cardiometabolic Health of Medicaid-insured Youth Identified Through an Antipsychotic Medication Preauthorization Program
1 other identifier
interventional
302
0 countries
N/A
Brief Summary
Pediatric antipsychotic treatment is associated with significant obesity-related side effects, including weight gain, increased blood sugar, abnormal cholesterol, and risk of new onset diabetes. Antipsychotic-induced weight gain is most prominent over the first 6 months of treatment. In this study, youths who are started on antipsychotic medication are identified for a health intervention to minimize antipsychotic-induced weight gain and also have collateral health benefits for the child's parent. Children are identified through a Medicaid medication authorization program which provides a complete list of eligible youth. Youth-parent pairs will be enrolled. All youth and their parents enrolled in this study are offered healthy lifestyle education with simple targets to reduce risk of antipsychotic-induced weight gain (e.g. reduce sugar sweetened beverage intake, engage in 1 hour of daily physical activity). Half of families will also receive 1) home delivery of bottled water, 2) provision of a child pedometer, and 3) health coaching/support from a telephone-delivered, parent peer program (Family Navigator). Home water delivery has been demonstrated to dramatically reduce sugar sweetened beverage intake in general pediatric studies. Child pedometers will be used to encourage parent monitoring of child physical activity. Parent peer support will be provided through a Family Navigator, who is a parent with "lived experience" raising a child with special mental health needs. Family Navigators address practical barriers to lifestyle changes for low income families (e.g. identify safe environment for physical activity, support access to food pantries) and provide emotional support for parents dealing with competing child health priorities (emotional stability, obesity health concerns). Family Navigator contact is exclusively by phone, and all study visits will occur in the home. The Family Navigators are supervised by a child mental health expert team, with an on-call licensed clinician available to address any after hours/weekend urgent concerns. The impact of this intervention will be studied on both child and parent health outcomes (weight, blood pressure, sugar sweetened beverage consumption), child physical activity, as well as parent behaviors associated with child healthy lifestyle changes (e.g. modeling healthy behaviors, monitoring child activity). Assessment of the impact of this healthy lifestyle intervention on other obesity related outcomes that are monitored through blood work (e.g. blood sugar, cholesterol). These labs are obtained by community prescribers as part of standard of care and submitted to Medicaid as required for ongoing approval. No blood work will be done in this study protocol. Child lab results will be requested from the Medicaid pre-authorization program.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2016
Longer than P75 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 7, 2016
CompletedStudy Start
First participant enrolled
August 1, 2016
CompletedFirst Posted
Study publicly available on registry
August 24, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2021
CompletedOctober 13, 2022
October 1, 2022
5.4 years
June 7, 2016
October 10, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Change in youth BMI z-score from baseline to 6 months
Measurement of height/weight to calculate BMI and conversion to z-score at baseline, 3 months, 6 month
baseline, 3 months, 6 months
Change in youth sugar sweetened beverage consumption
USDA 24 hour dietary recall administered at baseline, 3 months and 6 months
baseline, 3 months, 6 months
Change in youth physical activity level
Measured by accelerometry for 1 week at baseline, 3 months, 6 months
baseline, 3 months, 6 months
Secondary Outcomes (4)
Change in parent BMI
baseline, 3 months,6 months
Change in parent activity level
baseline, 3 months,6 months
Change in parent consumption of sugar sweetened beverages (SSB)
baseline, 3 months, 6 months
Change in parent blood pressure (BP)
baseline, 3 months, 6 months
Other Outcomes (3)
Change in youth blood pressure
baseline, 3 months,6 months
Change in youth fasting glucose from baseline to 6 months
baseline, 3 months,6 months
Change in youth fasting triglycerides from baseline to 6 months
baseline, 3 months, 6 months
Study Arms (2)
Treatment
EXPERIMENTAL1. Home delivery of bottled water supplying 48 oz. /day for the child and 24 oz. /day per other household members (up to 6 family members). 2. Child pedometer use and activity tracking to encourage child physical activity/goal setting and engage parents in monitoring their child's health behavior. 3. Family Navigator Services by telephone with the parent to help engage and empower parents in child healthy lifestyle changes. They will also be able to assist with resource needs for the household (food/housing services). 4. Healthy Lifestyle Education based on the American Academy of Pediatrics Institute for the Healthiest Childhood Weight daily guidelines which are 5 fruit and vegetable servings, two hours or less screen time, one hour or more physical activity, no sugary drinks daily and limit fruit juice to one hundred percent real fruit juice.
Control
ACTIVE COMPARATORHealthy Lifestyle Education based on the American Academy of Pediatrics Institute for the Healthiest Childhood Weight daily guidelines which are 5 fruit and vegetable servings, two hours or less screen time, one hour or more physical activity, no sugary drinks and limit fruit juice to one hundred percent real fruit juice.
Interventions
Eligibility Criteria
You may qualify if:
- Youth between the ages of 8-16 (inclusive) at time of enrollment
- New antipsychotic prescription preauthorization approval in the Maryland Medicaid Peer Review program (youth)
- Parent/legal guardian of the eligible youth
You may not qualify if:
- One or both of dyad pair is non-English speaking
- Youth lacking parent/ guardian with authority to consent for treatment (foster care youth)
- Youth residing in residential, group home, or juvenile justice detention facilities (parent participation is required to support daily activity goals)
- Youth currently treated in an inpatient hospital treatment program
- Youth unable to communicate verbally (to participate in dietary recall)
- Youth IQ \<55 by WASI
- Youth who are wheelchair bound (due to accelerometer placement)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (33)
Christian RB, Gaynes BN, Saavedra LM, Sheitman B, Wines R, Jonas DE, Viswanathan M, Ellis AR, Woodell C, Carey TS. Use of antipsychotic medications in pediatric and young adult populations: future research needs. J Psychiatr Pract. 2015 Jan;21(1):26-36. doi: 10.1097/01.pra.0000460619.10429.4c.
PMID: 25603449RESULTOgden 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.
PMID: 24570244RESULTJuonala M, Magnussen CG, Berenson GS, Venn A, Burns TL, Sabin MA, Srinivasan SR, Daniels SR, Davis PH, Chen W, Sun C, Cheung M, Viikari JS, Dwyer T, Raitakari OT. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med. 2011 Nov 17;365(20):1876-85. doi: 10.1056/NEJMoa1010112.
PMID: 22087679RESULTOlfson M, Blanco C, Liu SM, Wang S, Correll CU. National trends in the office-based treatment of children, adolescents, and adults with antipsychotics. Arch Gen Psychiatry. 2012 Dec;69(12):1247-56. doi: 10.1001/archgenpsychiatry.2012.647.
PMID: 22868273RESULTSkinner AC, Steiner MJ, Perrin EM. Self-reported energy intake by age in overweight and healthy-weight children in NHANES, 2001-2008. Pediatrics. 2012 Oct;130(4):e936-42. doi: 10.1542/peds.2012-0605. Epub 2012 Sep 10.
PMID: 22966024RESULTBorrud L, Chiappa MM, Burt VL, Gahche J, Zipf G, Johnson CL, Dohrmann SM. National Health and Nutrition Examination Survey: national youth fitness survey plan, operations, and analysis, 2012. Vital Health Stat 2. 2014 Apr;(163):1-24.
PMID: 24709592RESULTCorrell CU, Manu P, Olshanskiy V, Napolitano B, Kane JM, Malhotra AK. Cardiometabolic risk of second-generation antipsychotic medications during first-time use in children and adolescents. JAMA. 2009 Oct 28;302(16):1765-73. doi: 10.1001/jama.2009.1549.
PMID: 19861668RESULTBushe CJ, Slooff CJ, Haddad PM, Karagianis JL. Weight change from 3-year observational data: findings from the worldwide schizophrenia outpatient health outcomes database. J Clin Psychiatry. 2012 Jun;73(6):e749-55. doi: 10.4088/JCP.11m07246.
PMID: 22795214RESULTBallon JS, Pajvani U, Freyberg Z, Leibel RL, Lieberman JA. Molecular pathophysiology of metabolic effects of antipsychotic medications. Trends Endocrinol Metab. 2014 Nov;25(11):593-600. doi: 10.1016/j.tem.2014.07.004. Epub 2014 Sep 2.
PMID: 25190097RESULTCote AT, Devlin AM, Panagiotopoulos C. Initial screening of children treated with second-generation antipsychotics points to an association between physical activity and insulin resistance. Pediatr Exerc Sci. 2014 Nov;26(4):455-62. doi: 10.1123/pes.2014-0076.
PMID: 25372380RESULTDe Hert M, Dobbelaere M, Sheridan EM, Cohen D, Correll CU. Metabolic and endocrine adverse effects of second-generation antipsychotics in children and adolescents: A systematic review of randomized, placebo controlled trials and guidelines for clinical practice. Eur Psychiatry. 2011 Apr;26(3):144-58. doi: 10.1016/j.eurpsy.2010.09.011. Epub 2011 Feb 3.
PMID: 21295450RESULTLipscombe LL, Austin PC, Alessi-Severini S, Blackburn DF, Blais L, Bresee L, Filion KB, Kawasumi Y, Kurdyak P, Platt RW, Tamim H, Paterson JM; Canadian Network for Observational Drug Effect Studies (CNODES) Investigators. Atypical antipsychotics and hyperglycemic emergencies: multicentre, retrospective cohort study of administrative data. Schizophr Res. 2014 Apr;154(1-3):54-60. doi: 10.1016/j.schres.2014.01.043. Epub 2014 Feb 24.
PMID: 24581419RESULTDelpier T, Giordana S, Wedin BM. Decreasing sugar-sweetened beverage consumption in the rural adolescent population. J Pediatr Health Care. 2013 Nov-Dec;27(6):470-8. doi: 10.1016/j.pedhc.2012.07.002. Epub 2012 Aug 26.
PMID: 22932228RESULTMiller PE, McKinnon RA, Krebs-Smith SM, Subar AF, Chriqui J, Kahle L, Reedy J. Sugar-sweetened beverage consumption in the U.S.: novel assessment methodology. Am J Prev Med. 2013 Oct;45(4):416-21. doi: 10.1016/j.amepre.2013.05.014.
PMID: 24050417RESULTBasu S, Seligman HK, Gardner C, Bhattacharya J. Ending SNAP subsidies for sugar-sweetened beverages could reduce obesity and type 2 diabetes. Health Aff (Millwood). 2014 Jun;33(6):1032-9. doi: 10.1377/hlthaff.2013.1246.
PMID: 24889953RESULTWang YC, Bleich SN, Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988-2004. Pediatrics. 2008 Jun;121(6):e1604-14. doi: 10.1542/peds.2007-2834.
PMID: 18519465RESULTJohnson RK, Appel LJ, Brands M, Howard BV, Lefevre M, Lustig RH, Sacks F, Steffen LM, Wylie-Rosett J; American Heart Association Nutrition Committee of the Council on Nutrition, Physical Activity, and Metabolism and the Council on Epidemiology and Prevention. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation. 2009 Sep 15;120(11):1011-20. doi: 10.1161/CIRCULATIONAHA.109.192627. Epub 2009 Aug 24.
PMID: 19704096RESULTStanhope KL, Medici V, Bremer AA, Lee V, Lam HD, Nunez MV, Chen GX, Keim NL, Havel PJ. A dose-response study of consuming high-fructose corn syrup-sweetened beverages on lipid/lipoprotein risk factors for cardiovascular disease in young adults. Am J Clin Nutr. 2015 Jun;101(6):1144-54. doi: 10.3945/ajcn.114.100461. Epub 2015 Apr 22.
PMID: 25904601RESULTEbbeling CB, Feldman HA, Osganian SK, Chomitz VR, Ellenbogen SJ, Ludwig DS. Effects of decreasing sugar-sweetened beverage consumption on body weight in adolescents: a randomized, controlled pilot study. Pediatrics. 2006 Mar;117(3):673-80. doi: 10.1542/peds.2005-0983.
PMID: 16510646RESULTEbbeling CB, Feldman HA, Chomitz VR, Antonelli TA, Gortmaker SL, Osganian SK, Ludwig DS. A randomized trial of sugar-sweetened beverages and adolescent body weight. N Engl J Med. 2012 Oct 11;367(15):1407-16. doi: 10.1056/NEJMoa1203388. Epub 2012 Sep 21.
PMID: 22998339RESULTTate DF, Turner-McGrievy G, Lyons E, Stevens J, Erickson K, Polzien K, Diamond M, Wang X, Popkin B. Replacing caloric beverages with water or diet beverages for weight loss in adults: main results of the Choose Healthy Options Consciously Everyday (CHOICE) randomized clinical trial. Am J Clin Nutr. 2012 Mar;95(3):555-63. doi: 10.3945/ajcn.111.026278. Epub 2012 Feb 1.
PMID: 22301929RESULTHo M, Garnett SP, Baur LA, Burrows T, Stewart L, Neve M, Collins C. Impact of dietary and exercise interventions on weight change and metabolic outcomes in obese children and adolescents: a systematic review and meta-analysis of randomized trials. JAMA Pediatr. 2013 Aug 1;167(8):759-68. doi: 10.1001/jamapediatrics.2013.1453.
PMID: 23778747RESULTTandon PS, Zhou C, Sallis JF, Cain KL, Frank LD, Saelens BE. Home environment relationships with children's physical activity, sedentary time, and screen time by socioeconomic status. Int J Behav Nutr Phys Act. 2012 Jul 26;9:88. doi: 10.1186/1479-5868-9-88.
PMID: 22835155RESULTRodearmel 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. doi: 10.1542/peds.2006-2927.
PMID: 17908743RESULTJanicke DM, Steele RG, Gayes LA, Lim CS, Clifford LM, Schneider EM, Carmody JK, Westen S. Systematic review and meta-analysis of comprehensive behavioral family lifestyle interventions addressing pediatric obesity. J Pediatr Psychol. 2014 Sep;39(8):809-25. doi: 10.1093/jpepsy/jsu023. Epub 2014 May 13.
PMID: 24824614RESULTVan Lippevelde W, te Velde SJ, Verloigne M, De Bourdeaudhuij I, Manios Y, Bere E, Jan N, Fernandez-Alvira JM, Chinapaw MJ, Bringolf-Isler B, Kovacs E, Brug J, Maes L. Associations between home- and family-related factors and fruit juice and soft drink intake among 10- to 12-year old children. The ENERGY project. Appetite. 2013 Feb;61(1):59-65. doi: 10.1016/j.appet.2012.10.019. Epub 2012 Nov 12.
PMID: 23154218RESULTSkelton JA, Buehler C, Irby MB, Grzywacz JG. Where are family theories in family-based obesity treatment?: conceptualizing the study of families in pediatric weight management. Int J Obes (Lond). 2012 Jul;36(7):891-900. doi: 10.1038/ijo.2012.56. Epub 2012 Apr 24.
PMID: 22531090RESULTReeves GM, Keeton C, Correll CU, Johnson JL, Hamer RM, Sikich L, Hazzard L, Alderman C, Scheer A, Mabe M, Kapoor S, Sheridan E, Borner I, Bussell K, Pirmohamed S, Bethea TC, Chekuri R, Gottfried R, Reinblatt SP, Santana E, Riddle MA. Improving metabolic parameters of antipsychotic child treatment (IMPACT) study: rationale, design, and methods. Child Adolesc Psychiatry Ment Health. 2013 Aug 15;7(1):31. doi: 10.1186/1753-2000-7-31.
PMID: 23947389RESULTGohlke JM, Dhurandhar EJ, Correll CU, Morrato EH, Newcomer JW, Remington G, Nasrallah HA, Crystal S, Nicol G; Adipogenic and Metabolic Effects of APDs Conference Speakers; Allison DB. Recent advances in understanding and mitigating adipogenic and metabolic effects of antipsychotic drugs. Front Psychiatry. 2012 Jun 28;3:62. doi: 10.3389/fpsyt.2012.00062. eCollection 2012.
PMID: 22754543RESULTTrapp GS, Giles-Corti B, Bulsara M, Christian HE, Timperio AF, McCormack GR, Villanueva K. Measurement of children's physical activity using a pedometer with a built-in memory. J Sci Med Sport. 2013 May;16(3):222-6. doi: 10.1016/j.jsams.2012.06.011. Epub 2012 Jul 31.
PMID: 22854294RESULTSingh AS, Chinapaw MJ, Uijtdewilligen L, Vik FN, van Lippevelde W, Fernandez-Alvira JM, Stomfai S, Manios Y, van der Sluijs M, Terwee C, Brug J. Test-retest reliability and construct validity of the ENERGY-parent questionnaire on parenting practices, energy balance-related behaviours and their potential behavioural determinants: the ENERGY-project. BMC Res Notes. 2012 Aug 13;5:434. doi: 10.1186/1756-0500-5-434.
PMID: 22888983RESULTReeves GM, Wehring HJ, Connors KM, Bussell K, Schiffman J, Medoff DR, Tsuji T, Walker J, Brown A, Strobeck D, Clough T, Rush CB, Riddle MA, Love RC, Zachik A, Hoagwood K, Olin SS, Stephan S, Okuzawa N, Edwards S, Baquet C, dosReis S. The Family Value of Information, Community Support, and Experience Study: Rationale, Design, and Methods of a "Family-Centered" Research Study. J Nerv Ment Dis. 2015 Dec;203(12):896-900. doi: 10.1097/NMD.0000000000000393.
PMID: 26524515RESULTBussell K, Reeves G, Hager E, Zhu S, Correll CU, Riddle MA, Sikich L. Dietary Consumption Among Youth with Antipsychotic-Induced Weight Gain and Changes Following Healthy Lifestyle Education. J Child Adolesc Psychopharmacol. 2021 Jun;31(5):364-375. doi: 10.1089/cap.2020.0173.
PMID: 34143682DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor, Child Psychiatrist
Study Record Dates
First Submitted
June 7, 2016
First Posted
August 24, 2016
Study Start
August 1, 2016
Primary Completion
December 31, 2021
Study Completion
December 31, 2021
Last Updated
October 13, 2022
Record last verified: 2022-10
Data Sharing
- IPD Sharing
- Will not share