- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06668259
Intensive Longitudinal Assessment of Stress and Stress-related Concepts Across a Behavioral Weight Loss Intervention (INSTANT)
November 18, 2025 updated by: Chelsea L. Kracht, PhD, University of Kansas Medical Center
Intensive Longitudinal Assessment of Stress and Stress-related Concepts Across a Behavioral Weight Loss Intervention: INSTANT Study
Examine the association between variability in individual stress and related concepts with weight loss, physical activity, and sleep across a behavioral weight loss program
Study Overview
Status
Recruiting
Conditions
Study Type
Observational
Enrollment (Estimated)
50
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Chelsea Kracht
- Phone Number: 913-588-1655
- Email: ckracht@kumc.edu
Study Contact Backup
- Name: Taylor Gatson
- Email: instant@kumc.edu
Study Locations
-
-
Kansas
-
Fairway, Kansas, United States, 66205
- Active, not recruiting
- Fairway North
-
Kansas City, Kansas, United States, 66103
- Recruiting
- Kirmayer Fitness Center
-
Contact:
- Chelsea Kracht
- Phone Number: 913-588-1655
- Email: ckracht@kumc.edu
-
Contact:
- Taylor Gatson
- Email: instant@kumc.edu
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Individuals who are enrolled in a community-based weight loss program centered in a metropolitan area of a Midwest state will be eligible to participate
Description
Inclusion Criteria:
- Enrolled in a community-based weight loss program centered in a metropolitan area of a Midwest state. Based on this criteria, we will anticipate participants are greater than 18 years of age, and have obesity.
- Must own a smart phone and be willing to download the mobile application to receive text messages
Exclusion Criteria:
- Report a current medical condition or treatment for a medical condition that could affect body weight.
- Current psychological condition (including clinically diagnosed depression) that is untreated, hospitalization for a psychological condition within the past 12 months, or not being on a stable dose of treatment for at least 6 months.
- Is not fluent in writing or speaking the English language.
- Mobility limitations so they are unable to perform physical activity.
- Family member currently enrolled in the study or has a family member that previously participated in the study.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Weight (kg)
Time Frame: 0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Weight will be measured using a digital scale in kg to the nearest 0.1 kg.
|
0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
|
Physical Activity
Time Frame: 0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Physical activity will be device-measured using an ActiGraph accelerometer.
Participants will wear the accelerometer on their wrist for 14 consecutive days.
Accelerometer will only be removed for water-based activities.
|
0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
|
Sleep
Time Frame: 0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Sleep will be device-measured using an ActiGraph accelerometer.
Participants will wear the accelerometer on their wrist for 14 consecutive nights.
|
0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
|
Stress-related Concepts (EMA)
Time Frame: 0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Stress-related concepts are measured by surveys of daily coping ability, stress, and affect assessed by Ecological Momentary Assessments (EMA).
For daily coping, participants will be asked about their ability to cope with stress, on a scale from 0-10 with 10 indicating completely able to cope.
For stress participants will be asked about their current stress level, on a scale from 0-10 with 10 indicating the highest stress.
Affect will be assessed through 5 questions related to their current feeling of happiness, frustration, stress, anger, sadness, and calm/relaxed.
|
0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cortisol (mg/mL)
Time Frame: 0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Collected via salivary collection methods
|
0 Weeks, 6 Weeks, 12 Weeks, and 26 Weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
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- Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989 May;28(2):193-213. doi: 10.1016/0165-1781(89)90047-4.
- White MA, Whisenhunt BL, Williamson DA, Greenway FL, Netemeyer RG. Development and validation of the food-craving inventory. Obes Res. 2002 Feb;10(2):107-14. doi: 10.1038/oby.2002.17.
- Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, Paul DR, Sebastian RS, Kuczynski KJ, Ingwersen LA, Staples RC, Cleveland LE. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr. 2008 Aug;88(2):324-32. doi: 10.1093/ajcn/88.2.324.
- Elfhag K, Rossner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev. 2005 Feb;6(1):67-85. doi: 10.1111/j.1467-789X.2005.00170.x.
- Amireault S, Godin G. The Godin-Shephard leisure-time physical activity questionnaire: validity evidence supporting its use for classifying healthy adults into active and insufficiently active categories. Percept Mot Skills. 2015 Apr;120(2):604-22. doi: 10.2466/03.27.PMS.120v19x7. Epub 2015 Mar 23.
- Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, McIntosh A, Rosenfeld S. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study. Am J Epidemiol. 2001 Dec 15;154(12):1089-99. doi: 10.1093/aje/154.12.1089.
- Dunton GF. Ecological Momentary Assessment in Physical Activity Research. Exerc Sport Sci Rev. 2017 Jan;45(1):48-54. doi: 10.1249/JES.0000000000000092.
- Hughes K, Bellis MA, Hardcastle KA, Sethi D, Butchart A, Mikton C, Jones L, Dunne MP. The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Health. 2017 Aug;2(8):e356-e366. doi: 10.1016/S2468-2667(17)30118-4. Epub 2017 Jul 31.
- Wang Y, Beydoun MA, Min J, Xue H, Kaminsky LA, Cheskin LJ. Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. Int J Epidemiol. 2020 Jun 1;49(3):810-823. doi: 10.1093/ije/dyz273.
- Gill JM, Chico TJ, Doherty A, Dunn J, Ekelund U, Katzmarzyk PT, Milton K, Murphy MH, Stamatakis E. Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges. Br J Sports Med. 2023 Oct;57(19):1223-1225. doi: 10.1136/bjsports-2023-106822. Epub 2023 Aug 7. No abstract available.
- da Silva SG, Evenson KR, da Silva ICM, Mendes MA, Domingues MR, da Silveira MF, Wehrmeister FC, Ekelund U, Hallal PC. Correlates of accelerometer-assessed physical activity in pregnancy-The 2015 Pelotas (Brazil) Birth Cohort Study. Scand J Med Sci Sports. 2018 Aug;28(8):1934-1945. doi: 10.1111/sms.13083. Epub 2018 Apr 6.
- Hildebrand M, VAN Hees VT, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sports Exerc. 2014 Sep;46(9):1816-24. doi: 10.1249/MSS.0000000000000289.
- van Hees VT, Gorzelniak L, Dean Leon EC, Eder M, Pias M, Taherian S, Ekelund U, Renstrom F, Franks PW, Horsch A, Brage S. Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity. PLoS One. 2013 Apr 23;8(4):e61691. doi: 10.1371/journal.pone.0061691. Print 2013.
- Sabia S, van Hees VT, Shipley MJ, Trenell MI, Hagger-Johnson G, Elbaz A, Kivimaki M, Singh-Manoux A. Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors. Am J Epidemiol. 2014 Mar 15;179(6):781-90. doi: 10.1093/aje/kwt330. Epub 2014 Feb 4.
- Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT. GGIR: A Research Community-Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data. Journal for the Measurement of Physical Behaviour. 01 Sep. 2019 2019;2(3):188-196. doi:10.1123/jmpb.2018-0063
- Panizza CE, Shvetsov YB, Harmon BE, Wilkens LR, Le Marchand L, Haiman C, Reedy J, Boushey CJ. Testing the Predictive Validity of the Healthy Eating Index-2015 in the Multiethnic Cohort: Is the Score Associated with a Reduced Risk of All-Cause and Cause-Specific Mortality? Nutrients. 2018 Apr 5;10(4):452. doi: 10.3390/nu10040452.
- systems BRD. Cortisol Paramter Assay Kit. https://www.rndsystems.com/products/cortisol-parameter-assay-kit_kge008b
- Krzyzanowski MC, Terry I, Williams D, West P, Gridley LN, Hamilton CM. The PhenX Toolkit: Establishing Standard Measures for COVID-19 Research. Curr Protoc. 2021 Apr;1(4):e111. doi: 10.1002/cpz1.111.
- Hamilton CM, Strader LC, Pratt JG, Maiese D, Hendershot T, Kwok RK, Hammond JA, Huggins W, Jackman D, Pan H, Nettles DS, Beaty TH, Farrer LA, Kraft P, Marazita ML, Ordovas JM, Pato CN, Spitz MR, Wagener D, Williams M, Junkins HA, Harlan WR, Ramos EM, Haines J. The PhenX Toolkit: get the most from your measures. Am J Epidemiol. 2011 Aug 1;174(3):253-60. doi: 10.1093/aje/kwr193. Epub 2011 Jul 11.
- Ye D, Reyes-Salvail F. Adverse childhood experiences among Hawai'i adults: Findings from the 2010 Behavioral Risk Factor Survey. Hawaii J Med Public Health. 2014 Jun;73(6):181-90.
- Foright RM, McQuillan TE, Frick JM, Minchella PM, Levasseur BM, Tinoco O, Birmingham L, Blankenship AE, Thyfault JP, Christianson JA. Exposure to early-life stress impairs weight-loss maintenance success in mice. Obesity (Silver Spring). 2024 Jan;32(1):131-140. doi: 10.1002/oby.23931.
- Brugha TS, Cragg D. The List of Threatening Experiences: the reliability and validity of a brief life events questionnaire. Acta Psychiatr Scand. 1990 Jul;82(1):77-81. doi: 10.1111/j.1600-0447.1990.tb01360.x.
- Berge JM, Trofholz A, Tate AD, Beebe M, Fertig A, Miner MH, Crow S, Culhane-Pera KA, Pergament S, Neumark-Sztainer D. Examining unanswered questions about the home environment and childhood obesity disparities using an incremental, mixed-methods, longitudinal study design: The Family Matters study. Contemp Clin Trials. 2017 Nov;62:61-76. doi: 10.1016/j.cct.2017.08.002. Epub 2017 Aug 9.
- Berge JM, Tate A, Trofholz A, Fertig A, Crow S, Neumark-Sztainer D, Miner M. Examining within- and across-day relationships between transient and chronic stress and parent food-related parenting practices in a racially/ethnically diverse and immigrant population : Stress types and food-related parenting practices. Int J Behav Nutr Phys Act. 2018 Jan 16;15(1):7. doi: 10.1186/s12966-017-0629-1.
- Matheny AP, Wachs TD, Ludwig JL, Phillips K. Bringing order out of chaos: Psychometric characteristics of the confusion, hubbub, and order scale. Journal of Applied Developmental Psychology. 1995/07/01/ 1995;16(3):429-444. doi:https://doi.org/10.1016/0193-3973(95)90028-4
- Dunton GF, Liao Y, Dzubur E, Leventhal AM, Huh J, Gruenewald T, Margolin G, Koprowski C, Tate E, Intille S. Investigating within-day and longitudinal effects of maternal stress on children's physical activity, dietary intake, and body composition: Protocol for the MATCH study. Contemp Clin Trials. 2015 Jul;43:142-54. doi: 10.1016/j.cct.2015.05.007. Epub 2015 May 15.
- Burke LE, Shiffman S, Music E, Styn MA, Kriska A, Smailagic A, Siewiorek D, Ewing LJ, Chasens E, French B, Mancino J, Mendez D, Strollo P, Rathbun SL. Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges. J Med Internet Res. 2017 Mar 15;19(3):e77. doi: 10.2196/jmir.7138.
- Trofholz A, Tate A, Janowiec M, Fertig A, Loth K, de Brito JN, Berge J. Ecological Momentary Assessment of Weight-Related Behaviors in the Home Environment of Children From Low-Income and Racially and Ethnically Diverse Households: Development and Usability Study. JMIR Res Protoc. 2021 Dec 1;10(12):e30525. doi: 10.2196/30525.
- Smith KE, Mason TB, Wang WL, Schumacher LM, Pellegrini CA, Goldschmidt AB, Unick JL. Dynamic associations between anxiety, stress, physical activity, and eating regulation over the course of a behavioral weight loss intervention. Appetite. 2022 Jan 1;168:105706. doi: 10.1016/j.appet.2021.105706. Epub 2021 Sep 21.
- Hayes JF, Schumacher LM, Panza E, Dunsiger SI, Wing RR, Unick JL. Affective responses to overeating episodes in women participating in a behavioral weight loss program. Eat Behav. 2022 Jan;44:101599. doi: 10.1016/j.eatbeh.2022.101599. Epub 2022 Feb 5.
- Kracht CL, Chaput JP, Martin CK, Champagne CM, Katzmarzyk PT, Staiano AE. Associations of Sleep with Food Cravings, Diet, and Obesity in Adolescence. Nutrients. 2019 Nov 30;11(12):2899. doi: 10.3390/nu11122899.
- Dunton GF, Crosley-Lyons R, Rhodes RE. Affective Response During Real-World Physical Activity as an Intervention Mediator. Exerc Sport Sci Rev. 2023 Oct 1;51(4):140-149. doi: 10.1249/JES.0000000000000321. Epub 2023 May 17.
- Greaney JL, Darling AM, Saunders EFH, Almeida DM. Daily Stress and Microvascular Dysfunction: The Buffering Effect of Physical Activity. Exerc Sport Sci Rev. 2023 Jan 1;51(1):19-26. doi: 10.1249/JES.0000000000000310. Epub 2022 Oct 19.
- Mason TB, Do B, Wang S, Dunton GF. Ecological momentary assessment of eating and dietary intake behaviors in children and adolescents: A systematic review of the literature. Appetite. 2020 Jan 1;144:104465. doi: 10.1016/j.appet.2019.104465. Epub 2019 Sep 18.
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- Naya CH, Zink J, Huh J, Dunton GF, Belcher BR. Examining the same-day relationship between morning cortisol after awakening, perceived stress in the morning, and physical activity in youth. Stress. 2021 May;24(3):338-347. doi: 10.1080/10253890.2020.1804852. Epub 2020 Aug 25.
- Weber J, Angerer P, Apolinario-Hagen J. Physiological reactions to acute stressors and subjective stress during daily life: A systematic review on ecological momentary assessment (EMA) studies. PLoS One. 2022 Jul 27;17(7):e0271996. doi: 10.1371/journal.pone.0271996. eCollection 2022.
- Joseph NT, Jiang Y, Zilioli S. Momentary emotions and salivary cortisol: A systematic review and meta-analysis of ecological momentary assessment studies. Neurosci Biobehav Rev. 2021 Jun;125:365-379. doi: 10.1016/j.neubiorev.2021.02.042. Epub 2021 Mar 1.
- Dunton GF, Kawabata K, Intille S, Wolch J, Pentz MA. Assessing the social and physical contexts of children's leisure-time physical activity: an ecological momentary assessment study. Am J Health Promot. 2012 Jan-Feb;26(3):135-42. doi: 10.4278/ajhp.100211-QUAN-43.
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Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 20, 2025
Primary Completion (Estimated)
February 28, 2027
Study Completion (Estimated)
February 28, 2027
Study Registration Dates
First Submitted
October 30, 2024
First Submitted That Met QC Criteria
October 30, 2024
First Posted (Actual)
October 31, 2024
Study Record Updates
Last Update Posted (Actual)
November 24, 2025
Last Update Submitted That Met QC Criteria
November 18, 2025
Last Verified
November 1, 2025
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- STUDY00160436
- 5P20GM144269-03 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
Clinical data will be shared with controlled access in NIDDK Central Repository for general research use
IPD Sharing Time Frame
Beginning 1 year after publication with no end date.
IPD Sharing Access Criteria
Data will be stored in the NIDDK Central Repository data repository.
Other requests for data and further information can be made to the PI, who will follow appropriate channels to distribute the data.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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