NCT02493413

Brief Summary

The purpose of the study was to analyze negative affectivity (NA) and social inhibition (SI) inquired by DS14 score in type D personality (distressed personality) to the relation of autonomic regulation of heart function (HRV) and immune response (T lymphocyte) among obese patients within coronary heart disease group (CHD). As stress is the key psychological activator of the hypothalamic-pituitary-adrenal axis (HPA axis) and therefore an important risk factor for diminished immune competency and prevalence of chronic conditions such as obesity, investigators chose exercise as the stress release intervention, especially as chronic stress may have a role in obesity, related to initiation or exacerbation of the condition. Abnormal regulation of the hypothalamic-pituitary-adrenal axis is additionally associated with chronic inflammatory conditions. Proinflammatory T-lymphocytes are present in visceral adipose tissue and may contribute to local inflammatory cell activation before the appearance of macrophages, suggesting that these cells could play an important role in the initiation and perpetuation of adipose tissue inflammation.

Trial Health

100
On Track

Trial Health Score

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

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jan 2012

Typical duration for all trials

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

January 1, 2012

Completed
1.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2013

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2014

Completed
1.3 years until next milestone

First Submitted

Initial submission to the registry

July 1, 2015

Completed
8 days until next milestone

First Posted

Study publicly available on registry

July 9, 2015

Completed
Last Updated

July 9, 2015

Status Verified

July 1, 2015

Enrollment Period

1.9 years

First QC Date

July 1, 2015

Last Update Submit

July 8, 2015

Conditions

Keywords

psychoneuroimmunologystresslymphocyte populationpersonality typeobesityheart rate variabilityawareness

Outcome Measures

Primary Outcomes (7)

  • Change from Baseline in DS14 Score at 3 Months

    Each examines filled in DS14 scale to determine negative affectivity (NA), social inhibition (SI) and Type D personality for early identification of high-risk CHD patients (Denollet, 2005). Subjects rated their personality on a 5-point Likert scale ranging from 0 \_ false to 4 \_true. The NA and SI scales can be scored as continuous variables (range, 0-28) to assess these personality traits in their own right. A cutoff of 10 on both scales is used to classify subjects as Type D (NA \_10 and SI \_10).

    baseline and 3 months

  • Change in STAIX-1 questionnaire score

    The STAIX-1 Form is an administered analysis of reported anxiety symptoms. The first subscale measures state anxiety, the second measures trait anxiety. The range of scores is 20-80, the higher the score indicating greater anxiety.

    baseline and 3 months

  • Change in Peripheral Human Blood Leucocytes

    Peripheral human blood leucocytes were collected by the venipuncture procedure and collected into Vacutainers.Two-parameter analysis was performed to determine the proportion of T cells (CD3+), T helper cells (CD3+CD4+) and cytotoxic T cells (CD3+CD8+). Isotype controls (Becton Dickinson, Mountain View, CA) and a control of viable cells (LIVE/DEAD kit, Molecular Probes, OR) were included. At least 2000 gated cells were analyzed for each test, and signals from two light scatters and four fluorescence parameters were analyzed with the Becton Dickinson Lysis II software.

    baseline and 3 months

  • Change in Cortisol Levels

    The measurement of cortisol in salivary samples accurately reflects levels of physiologically active unbound (free) cortisol in the blood, which diffuses from the blood to saliva.

    baseline and 3 months

  • Change in Heart Rate variability (HRV)

    The investigators chose the combination of Time domain methods and Frequency domain methods to compare variability among groups under physical exercise and within 24 hours.

    baseline and 3 months

  • Change in SWLS questionnaire score

    The Satisfaction With Life Scale (SWLS) is a measure of life satisfaction. Life satisfaction can be assessed specific to a particular domain of life (e.g., work, family) or globally. The SWLS is a global measure of life satisfaction.

    baseline and 3 months

  • Change in QOLLTI-P questionnaire score

    The Quality of Life in Life-Threatening Illness-Patient questionnaire (QOLLTI-P) is a self-administered questionnaire based on the McGill Quality of Life questionnaire (MQOL) with domains added to enhance content validity. Participants were asked to complete a set of above questionnaires prior to immunological assessment and HRV measurement.

    baseline and 3 months

Study Arms (2)

Group A

observational time of three months in the obese group with distressed (type D) personality (high DS 14 score) with moderate aerobic exercise

Group B

observational time of three months in obese group without distressed personality (low DS 14 score) with moderate aerobic exercise

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

30 examinees, 14 men of average age 56,3 ± 15,5 years old and 16 women of average age of 53,5. ± 4,2 years old made the owerweight/obese group of chronic (coronary heart disease) patients. Subjects were matched by gender, age, body mass index and had all been regular visitors (patients) of The Institute of Preventive Medicine.

You may qualify if:

  • obese people without detectable complications of coronary heart disease

You may not qualify if:

  • Obese patients with angina pectoris, myocardial infarction, valvular heart disease and congestive heart disease had been excluded from the research.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (22)

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    PMID: 15673629BACKGROUND
  • Suwa A, Shimokawa T. Emerging targets for the treatment of obesity. FEBS J. 2011 Feb;278(4):551. doi: 10.1111/j.1742-4658.2010.07981.x. Epub 2010 Dec 30. No abstract available.

    PMID: 21291513BACKGROUND
  • Kintscher U, Hartge M, Hess K, Foryst-Ludwig A, Clemenz M, Wabitsch M, Fischer-Posovszky P, Barth TF, Dragun D, Skurk T, Hauner H, Bluher M, Unger T, Wolf AM, Knippschild U, Hombach V, Marx N. T-lymphocyte infiltration in visceral adipose tissue: a primary event in adipose tissue inflammation and the development of obesity-mediated insulin resistance. Arterioscler Thromb Vasc Biol. 2008 Jul;28(7):1304-10. doi: 10.1161/ATVBAHA.108.165100. Epub 2008 Apr 17.

    PMID: 18420999BACKGROUND
  • Ader R, Cohen N. Behaviorally conditioned immunosuppression. Psychosom Med. 1975 Jul-Aug;37(4):333-40. doi: 10.1097/00006842-197507000-00007.

    PMID: 1162023BACKGROUND
  • 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
  • Watson D, Pennebaker JW. Health complaints, stress, and distress: exploring the central role of negative affectivity. Psychol Rev. 1989 Apr;96(2):234-54. doi: 10.1037/0033-295x.96.2.234.

    PMID: 2710874BACKGROUND
  • Denollet J. Negative affectivity and repressive coping: pervasive influence on self-reported mood, health, and coronary-prone behavior. Psychosom Med. 1991 Sep-Oct;53(5):538-56. doi: 10.1097/00006842-199109000-00005.

    PMID: 1758940BACKGROUND
  • Friedman HS, Booth-Kewley S. Personality, type A behavior, and coronary heart disease: the role of emotional expression. J Pers Soc Psychol. 1987 Oct;53(4):783-92. doi: 10.1037//0022-3514.53.4.783.

    PMID: 3681651BACKGROUND
  • Gest SD. Behavioral inhibition: stability and associations with adaptation from childhood to early adulthood. J Pers Soc Psychol. 1997 Feb;72(2):467-75. doi: 10.1037//0022-3514.72.2.467.

    PMID: 9107012BACKGROUND
  • Denollet J, Sys SU, Brutsaert DL. Personality and mortality after myocardial infarction. Psychosom Med. 1995 Nov-Dec;57(6):582-91. doi: 10.1097/00006842-199511000-00011.

    PMID: 8600485BACKGROUND
  • Denollet J, Sys SU, Stroobant N, Rombouts H, Gillebert TC, Brutsaert DL. Personality as independent predictor of long-term mortality in patients with coronary heart disease. Lancet. 1996 Feb 17;347(8999):417-21. doi: 10.1016/s0140-6736(96)90007-0.

    PMID: 8618481BACKGROUND
  • Ferguson E, Ward JW, Skatova A, Cassaday HJ, Bibby PA, Lawrence C. Health specific traits beyond the Five Factor Model, cognitive processes and trait expression: replies to Watson (2012), Matthews (2012) and Haslam, Jetten, Reynolds, and Reicher (2012). Health Psychol Rev. 2013 May;7(Suppl 1):S85-S103. doi: 10.1080/17437199.2012.701061. Epub 2013 May 28.

    PMID: 23772232BACKGROUND
  • Piestrzeniewicz K, Luczak K, Lelonek M, Wranicz JK, Goch JH. Obesity and heart rate variability in men with myocardial infarction. Cardiol J. 2008;15(1):43-9.

    PMID: 18651384BACKGROUND
  • Lee DC, Pate RR, Lavie CJ, Sui X, Church TS, Blair SN. Leisure-time running reduces all-cause and cardiovascular mortality risk. J Am Coll Cardiol. 2014 Aug 5;64(5):472-81. doi: 10.1016/j.jacc.2014.04.058.

    PMID: 25082581BACKGROUND
  • Thayer JF, Sternberg E. Beyond heart rate variability: vagal regulation of allostatic systems. Ann N Y Acad Sci. 2006 Nov;1088:361-72. doi: 10.1196/annals.1366.014.

    PMID: 17192580BACKGROUND
  • Hirsch JA, Bishop B. Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Am J Physiol. 1981 Oct;241(4):H620-9. doi: 10.1152/ajpheart.1981.241.4.H620.

    PMID: 7315987BACKGROUND
  • O'Keefe JH, Lavie CJ. Run for your life ... at a comfortable speed and not too far. Heart. 2013 Apr;99(8):516-9. doi: 10.1136/heartjnl-2012-302886. Epub 2012 Nov 29. No abstract available.

    PMID: 23197444BACKGROUND
  • Malfatto G, Facchini M, Sala L, Branzi G, Bragato R, Leonetti G. Effects of cardiac rehabilitation and beta-blocker therapy on heart rate variability after first acute myocardial infarction. Am J Cardiol. 1998 Apr 1;81(7):834-40. doi: 10.1016/s0002-9149(98)00021-6.

    PMID: 9555771BACKGROUND
  • Turnbull AV, Rivier C. Regulation of the HPA axis by cytokines. Brain Behav Immun. 1995 Dec;9(4):253-75. doi: 10.1006/brbi.1995.1026.

    PMID: 8903845BACKGROUND
  • Yasuma F, Hayano J. Respiratory sinus arrhythmia: why does the heartbeat synchronize with respiratory rhythm? Chest. 2004 Feb;125(2):683-90. doi: 10.1378/chest.125.2.683.

    PMID: 14769752BACKGROUND
  • Hrushesky WJ, Fader D, Schmitt O, Gilbertsen V. The respiratory sinus arrhythmia: a measure of cardiac age. Science. 1984 Jun 1;224(4652):1001-4. doi: 10.1126/science.6372092.

    PMID: 6372092BACKGROUND
  • Steptoe A, Brydon L. Emotional triggering of cardiac events. Neurosci Biobehav Rev. 2009 Feb;33(2):63-70. doi: 10.1016/j.neubiorev.2008.04.010. Epub 2008 May 3.

    PMID: 18534677BACKGROUND

MeSH Terms

Conditions

ObesityCoronary Disease

Condition Hierarchy (Ancestors)

OverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsMyocardial IschemiaHeart DiseasesCardiovascular DiseasesVascular Diseases

Study Officials

  • Mateja Hafner, M.D.

    Institute of Preventive medicine

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
M.D.

Study Record Dates

First Submitted

July 1, 2015

First Posted

July 9, 2015

Study Start

January 1, 2012

Primary Completion

December 1, 2013

Study Completion

March 1, 2014

Last Updated

July 9, 2015

Record last verified: 2015-07