NCT05026333

Brief Summary

The goal of this pilot part of the study (Step 1) is to identify the optimal population of high and low anxiety and stress individuals who will differentially respond to a laboratory stress task as measured by changes in subjective stress response (affect), cognition, attention, and biological measures (autonomic and metabolite responses). Based on experience with different study populations, the investigator's believe that a healthy, homogenous population (Caucasian, women, premenopausal) with higher levels of state anxiety and perceived stress, and with greater responsiveness to laboratory stress tasks (which can also be used in the probiotic intervention study in Step 2) will provide the highest likelihood of identifying the underlying central mechanisms of stress responsiveness in Step 1 and then for the probiotic intervention in Step 2. For this pilot study, the investigator's will look at baseline measures to determine differences in responses to four subjective (affect/cognition/attention) stress tasks (primary endpoints) and biological (secondary endpoints) measures in a high stress group and a low stress group. If for Step 1 of the study, the investigator's are able to verify the stratification of the participants into high and low stress groups based on questionnaire data and show differences between participants with high and low perceived stress in psychological characteristics, lab stress tasks and potentially in biological responses, this will help to determine the optimal cut off values, and the optimal stress tasks to be conducted in the planned probiotic intervention study of Step 2.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
100

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Jun 2021

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 25, 2021

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

August 10, 2021

Completed
20 days until next milestone

First Posted

Study publicly available on registry

August 30, 2021

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 15, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 15, 2022

Completed
Last Updated

October 12, 2022

Status Verified

October 1, 2022

Enrollment Period

1.1 years

First QC Date

August 10, 2021

Last Update Submit

October 10, 2022

Conditions

Keywords

stresswomenhigh stresslow stressperceived stress

Outcome Measures

Primary Outcomes (1)

  • Differences in Subjective Stress Response

    Between group differences in pre-and post- of the "overall" negative and positive affect subscale scores from the Positive Affect and Negative Affect Scale (PANAS) administered at baseline immediately before and after the 4 brief and well validated laboratory stress tasks. PANAS scores can range from 10-50 for both the positive and negative affect, with the lower scores representing lower levels of positive/negative affect, and higher scores representing higher levels of positive/negative affect.

    Pre and Post laboratory testing during the in-clinic visit lasting 2-4 hours.

Secondary Outcomes (7)

  • Differences in Attention/Executive Function

    Throughout the Color Stroop laboratory test at the in-clinic visit lasting approximately 30 minutes.

  • Differences in Emotional Arousal System

    Throughout the IAPS laboratory test during the in-clinic visit lasting approximately 30 minutes.

  • Differences in Subjective Stress Response

    Pre and Post the arithmetic stress task during the in-clinic visit lasting approximately 30 minutes.

  • Changes in Autonomic Measures - Heart Rate Variability

    Throughout each laboratory test during the in-clinic visit lasting 2-4 hours.

  • Differences in Attention/Executive Function

    Throughout the Trails A & B laboratory tests at the in-clinic visit lasting approximately 30 minutes.

  • +2 more secondary outcomes

Other Outcomes (1)

  • Changes in Stress-Related Plasma Metabolite Concentrations as measured via a blood sample and processed by Ixcela for targeted stress-related metabolites.

    Pre and Post laboratory testing during the in-clinic visit lasting 2-4 hours.

Study Arms (2)

High Stress Group

EXPERIMENTAL

Group of high stress participants based on cutoff scores on the Perceived Stress Scale (PSS) and the STAI - State Anxiety Scale.

Other: Cognitive Stress Testing

Low Stress Group

EXPERIMENTAL

Group of low stress participants based on cutoff scores on the Perceived Stress Scale (PSS) and the STAI - State Anxiety Scale.

Other: Cognitive Stress Testing

Interventions

Cognitive and stress study with no product intervention and noninvasive. The high stress/anxiety group will be compared to the low stress/anxiety group in terms of changes from baseline to after the cognitive and stress tests (i.e., 4 laboratory tasks) and metabolite measures.

Also known as: ANS testing, metabolites, cognitive tasks, stress tasks
High Stress GroupLow Stress Group

Eligibility Criteria

Age18 Years - 45 Years
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Caucasian
  • Female
  • years of age
  • For the high perceived stress group: a PSS score of 15 or higher and a STAI-S of 39 or higher
  • For the low perceived stress group: a PSS score of 8 or lower and a STAI-S score of 24 or lower

You may not qualify if:

  • Any ongoing major medical, psychological, or psychiatric conditions and recent changes (3mo) in the use of psychoactive medications or other medications that interfere with the measured outcomes.
  • Medical conditions such as current neurological, cardiovascular, hepatic, renal, autoimmune diseases, diabetes, or cancer. This includes having a current or past within 1 year diagnosis of GI disorders, including but not limited to IBS, IBD, Celiac, or other nutritional deficiency/disease, current eating disorder, or past weight loss surgery.
  • Psychological conditions such as anxiety and depression (I.e., without history of Diagnostic and Statistical Manual (DSM-4) psychiatric diagnosis.
  • Prior/Concomitant Therapy (e.g., Recent changes in the use of psychoactive medications or other medications that interfere with the measured outcomes, as determined by the PI).
  • Positive test for COVID-19 infection in the past month or if presenting symptoms of COVID-19 infection in the past 2 weeks.
  • Diet:
  • Participant who changes her dietary habits within the preceding 4 weeks.
  • Participants on probiotics will be asked to wait 1 month before enrollment in the study.
  • Participant with an eating disorder.
  • Participant with special medicated diet (e.g., for obesity, anorexia, metabolic pathology).
  • Participant under artificial nutrition in the last 1 month.
  • Participant planning to modify her dietary habits during the course of the study.
  • Pregnant women or women planning to become pregnant during the study; breast-feeding women based on the interview at screen (Visit 1) and the urine test on day of stress test (Visit 2).
  • Smoker with a moderate to high level of dependence to nicotine (e.g., more than 1/2 a pack of cigarettes a day).
  • Participant consuming regularly more than 3 units of alcohol per day (1 unit = 10mL or 8g).
  • +15 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of California, Los Angeles

Los Angeles, California, 90095, United States

Location

Related Publications (62)

  • Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385-96. No abstract available.

    PMID: 6668417BACKGROUND
  • Berthoud HR. Interactions between the "cognitive" and "metabolic" brain in the control of food intake. Physiol Behav. 2007 Aug 15;91(5):486-98. doi: 10.1016/j.physbeh.2006.12.016. Epub 2007 Jan 12.

    PMID: 17307205BACKGROUND
  • Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983 Jun;67(6):361-70. doi: 10.1111/j.1600-0447.1983.tb09716.x.

    PMID: 6880820BACKGROUND
  • Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988 Jun;54(6):1063-70. doi: 10.1037//0022-3514.54.6.1063.

    PMID: 3397865BACKGROUND
  • Murphy KJ, Hodges TE, Sheppard PAS, Troyer AK, Hampson E, Galea LAM. Sex differences in cortisol and memory following acute social stress in amnestic mild cognitive impairment. J Clin Exp Neuropsychol. 2020 Nov;42(9):881-901. doi: 10.1080/13803395.2020.1825633. Epub 2020 Oct 6.

    PMID: 33023371BACKGROUND
  • Helminen EC, Morton ML, Wang Q, Felver JC. Stress Reactivity to the Trier Social Stress Test in Traditional and Virtual Environments: A Meta-Analytic Comparison. Psychosom Med. 2021 Apr 1;83(3):200-211. doi: 10.1097/PSY.0000000000000918.

    PMID: 33534392BACKGROUND
  • Wheelock MD, Goodman AM, Harnett NG, Wood KH, Mrug S, Granger DA, Knight DC. Sex-related Differences in Stress Reactivity and Cingulum White Matter. Neuroscience. 2021 Apr 1;459:118-128. doi: 10.1016/j.neuroscience.2021.02.014. Epub 2021 Feb 13.

    PMID: 33588003BACKGROUND
  • Olfert MD, Barr ML, Charlier CC, Greene GW, Zhou W, Colby SE. Sex Differences in Lifestyle Behaviors among U.S. College Freshmen. Int J Environ Res Public Health. 2019 Feb 7;16(3):482. doi: 10.3390/ijerph16030482.

    PMID: 30736399BACKGROUND
  • Luque B, Castillo-Mayen R, Cuadrado E, Gutierrez-Domingo T, Rubio SJ, Arenas A, Delgado-Lista J, Perez Martinez P, Tabernero C. The Role of Emotional Regulation and Affective Balance on Health Perception in Cardiovascular Disease Patients According to Sex Differences. J Clin Med. 2020 Sep 30;9(10):3165. doi: 10.3390/jcm9103165.

    PMID: 33007817BACKGROUND
  • Marin IA, Goertz JE, Ren T, Rich SS, Onengut-Gumuscu S, Farber E, Wu M, Overall CC, Kipnis J, Gaultier A. Microbiota alteration is associated with the development of stress-induced despair behavior. Sci Rep. 2017 Mar 7;7:43859. doi: 10.1038/srep43859.

    PMID: 28266612BACKGROUND
  • Schneider TR, Rench TA, Lyons JB, Riffle RR. The influence of neuroticism, extraversion and openness on stress responses. Stress Health. 2012 Apr;28(2):102-10. doi: 10.1002/smi.1409. Epub 2011 Jun 15.

    PMID: 22281953BACKGROUND
  • Cohen S, Janicki-Deverts D, Doyle WJ, Miller GE, Frank E, Rabin BS, Turner RB. Chronic stress, glucocorticoid receptor resistance, inflammation, and disease risk. Proc Natl Acad Sci U S A. 2012 Apr 17;109(16):5995-9. doi: 10.1073/pnas.1118355109. Epub 2012 Apr 2.

    PMID: 22474371BACKGROUND
  • Villada C, Hidalgo V, Almela M, Salvador A. Individual Differences in the Psychobiological Response to Psychosocial Stress (Trier Social Stress Test): The Relevance of Trait Anxiety and Coping Styles. Stress Health. 2016 Apr;32(2):90-9. doi: 10.1002/smi.2582. Epub 2014 Jun 11.

    PMID: 24916722BACKGROUND
  • Walter S, Kessler H, Gruss S, Jerg-Bretzke L, Scheck A, Strobel J, Hoffmann H, Traue HC. The influence of neuroticism and psychological symptoms on the assessment of images in three-dimensional emotion space. Psychosoc Med. 2011;8:Doc04. doi: 10.3205/psm000073. Epub 2011 Jun 6.

    PMID: 21698089BACKGROUND
  • Crow AJD. Associations Between Neuroticism and Executive Function Outcomes: Response Inhibition and Sustained Attention on a Continuous Performance Test. Percept Mot Skills. 2019 Aug;126(4):623-638. doi: 10.1177/0031512519848221. Epub 2019 May 30.

    PMID: 31146642BACKGROUND
  • Craske MG, Waters AM, Nazarian M, Mineka S, Zinbarg RE, Griffith JW, Naliboff B, Ornitz EM. Does neuroticism in adolescents moderate contextual and explicit threat cue modulation of the startle reflex? Biol Psychiatry. 2009 Feb 1;65(3):220-6. doi: 10.1016/j.biopsych.2008.07.020. Epub 2008 Sep 11.

    PMID: 18789433BACKGROUND
  • Naliboff BD, Waters AM, Labus JS, Kilpatrick L, Craske MG, Chang L, Negoro H, Ibrahimovic H, Mayer EA, Ornitz E. Increased acoustic startle responses in IBS patients during abdominal and nonabdominal threat. Psychosom Med. 2008 Oct;70(8):920-7. doi: 10.1097/PSY.0b013e318186d858. Epub 2008 Oct 8.

    PMID: 18842745BACKGROUND
  • Weng YJ, Gan HY, Li X, Huang Y, Li ZC, Deng HM, Chen SZ, Zhou Y, Wang LS, Han YP, Tan YF, Song YJ, Du ZM, Liu YY, Wang Y, Qin N, Bai Y, Yang RF, Bi YJ, Zhi FC. Correlation of diet, microbiota and metabolite networks in inflammatory bowel disease. J Dig Dis. 2019 Sep;20(9):447-459. doi: 10.1111/1751-2980.12795. Epub 2019 Aug 1.

    PMID: 31240835BACKGROUND
  • Floegel A, Wientzek A, Bachlechner U, Jacobs S, Drogan D, Prehn C, Adamski J, Krumsiek J, Schulze MB, Pischon T, Boeing H. Linking diet, physical activity, cardiorespiratory fitness and obesity to serum metabolite networks: findings from a population-based study. Int J Obes (Lond). 2014 Nov;38(11):1388-96. doi: 10.1038/ijo.2014.39. Epub 2014 Mar 10.

    PMID: 24608922BACKGROUND
  • Yamada T, Takahashi D, Hase K. The diet-microbiota-metabolite axis regulates the host physiology. J Biochem. 2016 Jul;160(1):1-10. doi: 10.1093/jb/mvw022. Epub 2016 Mar 11.

    PMID: 26970281BACKGROUND
  • Rhee SH, Pothoulakis C, Mayer EA. Principles and clinical implications of the brain-gut-enteric microbiota axis. Nat Rev Gastroenterol Hepatol. 2009 May;6(5):306-14. doi: 10.1038/nrgastro.2009.35.

    PMID: 19404271BACKGROUND
  • Galley JD, Bailey MT. Impact of stressor exposure on the interplay between commensal microbiota and host inflammation. Gut Microbes. 2014 May-Jun;5(3):390-6. doi: 10.4161/gmic.28683. Epub 2014 Apr 1.

    PMID: 24690880BACKGROUND
  • Goyal N, Shukla G. Probiotic Lactobacillus rhamnosus GG modulates the mucosal immune response in Giardia intestinalis-infected BALB/c mice. Dig Dis Sci. 2013 May;58(5):1218-25. doi: 10.1007/s10620-012-2503-y. Epub 2012 Dec 21.

    PMID: 23263901BACKGROUND
  • Thomas CM, Hong T, van Pijkeren JP, Hemarajata P, Trinh DV, Hu W, Britton RA, Kalkum M, Versalovic J. Histamine derived from probiotic Lactobacillus reuteri suppresses TNF via modulation of PKA and ERK signaling. PLoS One. 2012;7(2):e31951. doi: 10.1371/journal.pone.0031951. Epub 2012 Feb 22.

    PMID: 22384111BACKGROUND
  • Schwarcz R, Bruno JP, Muchowski PJ, Wu HQ. Kynurenines in the mammalian brain: when physiology meets pathology. Nat Rev Neurosci. 2012 Jul;13(7):465-77. doi: 10.1038/nrn3257.

    PMID: 22678511BACKGROUND
  • Bischoff SC, Barbara G, Buurman W, Ockhuizen T, Schulzke JD, Serino M, Tilg H, Watson A, Wells JM. Intestinal permeability--a new target for disease prevention and therapy. BMC Gastroenterol. 2014 Nov 18;14:189. doi: 10.1186/s12876-014-0189-7.

    PMID: 25407511BACKGROUND
  • Clarke G, Fitzgerald P, Cryan JF, Cassidy EM, Quigley EM, Dinan TG. Tryptophan degradation in irritable bowel syndrome: evidence of indoleamine 2,3-dioxygenase activation in a male cohort. BMC Gastroenterol. 2009 Jan 20;9:6. doi: 10.1186/1471-230X-9-6.

    PMID: 19154614BACKGROUND
  • Mawe GM, Hoffman JM. Serotonin signalling in the gut--functions, dysfunctions and therapeutic targets. Nat Rev Gastroenterol Hepatol. 2013 Aug;10(8):473-86. doi: 10.1038/nrgastro.2013.105. Epub 2013 Jun 25.

    PMID: 23797870BACKGROUND
  • Gershon MD, Tack J. The serotonin signaling system: from basic understanding to drug development for functional GI disorders. Gastroenterology. 2007 Jan;132(1):397-414. doi: 10.1053/j.gastro.2006.11.002.

    PMID: 17241888BACKGROUND
  • Elsenbruch S. How positive and negative expectations shape the experience of visceral pain. Handb Exp Pharmacol. 2014;225:97-119. doi: 10.1007/978-3-662-44519-8_6.

    PMID: 25304528BACKGROUND
  • Aizawa E, Sato Y, Kochiyama T, Saito N, Izumiyama M, Morishita J, Kanazawa M, Shima K, Mushiake H, Hongo M, Fukudo S. Altered cognitive function of prefrontal cortex during error feedback in patients with irritable bowel syndrome, based on FMRI and dynamic causal modeling. Gastroenterology. 2012 Nov;143(5):1188-1198. doi: 10.1053/j.gastro.2012.07.104. Epub 2012 Jul 27.

    PMID: 22841782BACKGROUND
  • Kennedy PJ, Clarke G, O'Neill A, Groeger JA, Quigley EM, Shanahan F, Cryan JF, Dinan TG. Cognitive performance in irritable bowel syndrome: evidence of a stress-related impairment in visuospatial memory. Psychol Med. 2014 May;44(7):1553-66. doi: 10.1017/S0033291713002171. Epub 2013 Aug 29.

    PMID: 23985155BACKGROUND
  • Tanaka Y, Kanazawa M, Fukudo S, Drossman DA. Biopsychosocial model of irritable bowel syndrome. J Neurogastroenterol Motil. 2011 Apr;17(2):131-9. doi: 10.5056/jnm.2011.17.2.131. Epub 2011 Apr 27.

    PMID: 21602989BACKGROUND
  • Renaud P, Blondin JP. The stress of Stroop performance: physiological and emotional responses to color-word interference, task pacing, and pacing speed. Int J Psychophysiol. 1997 Sep;27(2):87-97. doi: 10.1016/s0167-8760(97)00049-4.

    PMID: 9342640BACKGROUND
  • Douchamps J. A brief, versatile, computerized, stress-inducing task derived from the Stroop color word test. Methods Find Exp Clin Pharmacol. 1988 Sep;10(9):595-601.

    PMID: 3226226BACKGROUND
  • Sugg MJ, McDonald JE. Time course of inhibition in color-response and word-response versions of the Stroop task. J Exp Psychol Hum Percept Perform. 1994 Jun;20(3):647-75. doi: 10.1037//0096-1523.20.3.647.

    PMID: 8027716BACKGROUND
  • Corrigan JD, Hinkeldey NS. Relationships between parts A and B of the Trail Making Test. J Clin Psychol. 1987 Jul;43(4):402-9. doi: 10.1002/1097-4679(198707)43:43.0.co;2-e.

    PMID: 3611374BACKGROUND
  • Gaudino EA, Geisler MW, Squires NK. Construct validity in the Trail Making Test: what makes Part B harder? J Clin Exp Neuropsychol. 1995 Aug;17(4):529-35. doi: 10.1080/01688639508405143.

    PMID: 7593473BACKGROUND
  • Mikels JA, Fredrickson BL, Larkin GR, Lindberg CM, Maglio SJ, Reuter-Lorenz PA. Emotional category data on images from the International Affective Picture System. Behav Res Methods. 2005 Nov;37(4):626-30. doi: 10.3758/bf03192732.

    PMID: 16629294BACKGROUND
  • Wei M, Roodenrys S, Miller L, Barkus E. Complex Scenes From the International Affective Picture System (IAPS). Exp Psychol. 2020 May;67(3):194-201. doi: 10.1027/1618-3169/a000488.

    PMID: 32900297BACKGROUND
  • Constantinescu AC, Wolters M, Moore A, MacPherson SE. A cluster-based approach to selecting representative stimuli from the International Affective Picture System (IAPS) database. Behav Res Methods. 2017 Jun;49(3):896-912. doi: 10.3758/s13428-016-0750-0.

    PMID: 27287449BACKGROUND
  • Armario P, del Rey RH, Martin-Baranera M, Almendros MC, Ceresuela LM, Pardell H. Blood pressure reactivity to mental stress task as a determinant of sustained hypertension after 5 years of follow-up. J Hum Hypertens. 2003 Mar;17(3):181-6. doi: 10.1038/sj.jhh.1001530.

    PMID: 12624608BACKGROUND
  • Henze GI, Zankert S, Urschler DF, Hiltl TJ, Kudielka BM, Pruessner JC, Wust S. Testing the ecological validity of the Trier Social Stress Test: Association with real-life exam stress. Psychoneuroendocrinology. 2017 Jan;75:52-55. doi: 10.1016/j.psyneuen.2016.10.002. Epub 2016 Oct 17.

    PMID: 27771565BACKGROUND
  • Naliboff BD, Benton D, Solomon GF, Morley JE, Fahey JL, Bloom ET, Makinodan T, Gilmore SL. Immunological changes in young and old adults during brief laboratory stress. Psychosom Med. 1991 Mar-Apr;53(2):121-32. doi: 10.1097/00006842-199103000-00002.

    PMID: 2031066BACKGROUND
  • Thayer JF, Ahs F, Fredrikson M, Sollers JJ 3rd, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012 Feb;36(2):747-56. doi: 10.1016/j.neubiorev.2011.11.009. Epub 2011 Dec 8.

    PMID: 22178086BACKGROUND
  • Ahluwalia N, Dwyer J, Terry A, Moshfegh A, Johnson C. Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy. Adv Nutr. 2016 Jan 15;7(1):121-34. doi: 10.3945/an.115.009258. Print 2016 Jan.

    PMID: 26773020BACKGROUND
  • Crawford JR, Henry JD. The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample. Br J Clin Psychol. 2004 Sep;43(Pt 3):245-65. doi: 10.1348/0144665031752934.

    PMID: 15333231BACKGROUND
  • Azpiroz F, Guyonnet D, Donazzolo Y, Gendre D, Tanguy J, Guarner F. Digestive Symptoms in Healthy People and Subjects With Irritable Bowel Syndrome: Validation of Symptom Frequency Questionnaire. J Clin Gastroenterol. 2015 Aug;49(7):e64-70. doi: 10.1097/MCG.0000000000000178.

    PMID: 25014236BACKGROUND
  • Guyonnet D, Schlumberger A, Mhamdi L, Jakob S, Chassany O. Fermented milk containing Bifidobacterium lactis DN-173 010 improves gastrointestinal well-being and digestive symptoms in women reporting minor digestive symptoms: a randomised, double-blind, parallel, controlled study. Br J Nutr. 2009 Dec;102(11):1654-62. doi: 10.1017/S0007114509990882. Epub 2009 Jul 22.

    PMID: 19622191BACKGROUND
  • Marteau P, Guyonnet D, Lafaye de Micheaux P, Gelu S. A randomized, double-blind, controlled study and pooled analysis of two identical trials of fermented milk containing probiotic Bifidobacterium lactis CNCM I-2494 in healthy women reporting minor digestive symptoms. Neurogastroenterol Motil. 2013 Apr;25(4):331-e252. doi: 10.1111/nmo.12078. Epub 2013 Mar 11.

    PMID: 23480238BACKGROUND
  • Rosas HD, Doros G, Bhasin S, Thomas B, Gevorkian S, Malarick K, Matson W, Hersch SM. A systems-level "misunderstanding": the plasma metabolome in Huntington's disease. Ann Clin Transl Neurol. 2015 Jul;2(7):756-68. doi: 10.1002/acn3.214. Epub 2015 May 28.

    PMID: 26273688BACKGROUND
  • Boyle SH, Matson WR, Velazquez EJ, Samad Z, Williams RB Jr, Sharma S, Thomas B, Wilson JL, O'Connor C, Jiang W. Metabolomics analysis reveals insights into biochemical mechanisms of mental stress-induced left ventricular dysfunction. Metabolomics. 2015 Jun 1;11(3):571-582. doi: 10.1007/s11306-014-0718-y.

    PMID: 25983674BACKGROUND
  • Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; 1983.

    BACKGROUND
  • International Personality Item Pool: A Scientific Collaboratory for the Development of Advanced Measures of Personality Traits and Other Individual Differences [cited 2020]. Available from: http://ipip.ori.org/.

    BACKGROUND
  • Cohen S. Perceived stress in a probability sample of the United States. The social psychology of health. Thousand Oaks, CA, US: Sage Publications, Inc; 1988. p. 31-67.

    BACKGROUND
  • Addolorato G, Ancona C, Capristo E, Graziosetto R, Di Rienzo L, Maurizi M, Gasbarrini G. State and trait anxiety in women affected by allergic and vasomotor rhinitis. J Psychosom Res. 1999 Mar;46(3):283-9. doi: 10.1016/s0022-3999(98)00109-3.

    PMID: 10193919BACKGROUND
  • Knight RG, Waal-Manning HJ, Spears GF. Some norms and reliability data for the State--Trait Anxiety Inventory and the Zung Self-Rating Depression scale. Br J Clin Psychol. 1983 Nov;22 (Pt 4):245-9. doi: 10.1111/j.2044-8260.1983.tb00610.x.

    PMID: 6640176BACKGROUND
  • DHQ W-b. Diet History Questionnaire II & Canadian Diet History Questionnaire II: Web-based DHQ. 2021. Available from: https://epi.grants.cancer.gov/dhq2/.

    BACKGROUND
  • Goldberg LR. A broad-bandwidth, public domain, personality inventory measuring the lower-level facets of several five-factor models. In: Mervielde I, Deary I, De Fruyt F, Ostendorf F, editors. Personality Psychology in Europe. Tilburg, The Netherlands: Tilburg University Press; 1999. p. 7-28.

    BACKGROUND
  • Goldberg LR, Johnson JA, Eber HW, Hogan R, Ashton R, Cloninger CR, Gough HC. The International Personality Item Pool and the future of public-domain personality measures. Journal of Research in Personality. 2006; 40:84-96.

    BACKGROUND
  • IPIP. International Personality Item Pool: A Scientific Collaboratory for the Development of Advanced Measures of Personality Traits and Other Individual Differences. 2021. Available from: http://ipip.ori.org/.

    BACKGROUND
  • Spielberger CD, Gorsuch RL, Lushene R, Vag PR, Jacobs GA. Manual for the State-Trait Anxiety Inventory. 1983.

    BACKGROUND

MeSH Terms

Conditions

Stress, PsychologicalAnxiety Disorders

Interventions

Phytoalexins

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehaviorMental Disorders

Intervention Hierarchy (Ancestors)

Toxins, BiologicalBiological Factors

Study Officials

  • Arpana Gupta, PhD

    The Regents of the University of California, Los Angeles

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
Participants will be blind to which stress/anxiety group they belong to. Researchers will not be blind to the group assignment as group assignment is part of the eligibility criteria for inclusion/enrollment in the study.
Purpose
BASIC SCIENCE
Intervention Model
PARALLEL
Model Details: 2 groups (high stress/anxiety compared to low stress/anxiety) will be compared on their performance on within laboratory stress and cognitive tasks (4 different tests).
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

August 10, 2021

First Posted

August 30, 2021

Study Start

June 25, 2021

Primary Completion

July 15, 2022

Study Completion

July 15, 2022

Last Updated

October 12, 2022

Record last verified: 2022-10

Data Sharing

IPD Sharing
Will not share

At this time there is no plan to make the de-identified data available for sharing with other researchers

Locations