The Stress-release Effects of Exercise in Obese Are Determined by DS14 Score and T-cell Activation Status
8 lipca 2015 zaktualizowane przez: Mateja Hafner M.D., Institute for Preventive Medicine, Trzaska
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.
Przegląd badań
Status
Zakończony
Szczegółowy opis
This study was performed at The Institute for Preventive Medicine in cooperation with The Institute of Microbiology and Immunology at the Medical Faculty of Ljubljana/University of Ljubljana in a clinical setting as an observational type.
In the group of examinees the investigators chose only those obese without detectable complications of coronary heart disease while admitted.
Obese patients with angina pectoris, myocardial infarction, valvular heart disease and congestive heart disease had been excluded from the research.
Since personality is the major determinant of chronic stress, according to the investigators hypothesis, further division on two global traits Negative affectivity (NA) and Social inhibition (SI) structured by Denollet has been positioned in the study.
A total of 30 patients with CHD were divided in two groups.
Participants who were obese with high DS14 score matched obese controls with normal DS14 score.
In all subjects the investigators also observed white blood cell counts with a detailed lymphocyte analysis using flow cytometry and C-reactive protein (CRP) as the indicator of inflammation.
Besides body mass (BM), body mass index (BMI) systolic and diastolic blood pressure (SBP, DBP), heart rate (HR), and heart rate variability (HRV) were measured before and after three months period, while all subjects had been already exercising 4 times weakly (moderate walking of 5km/h) for an hour.
Additionally STAIX-1, SWLS and QOLLTI-P questionnaires had been used.
Typ studiów
Obserwacyjny
Zapisy (Rzeczywisty)
30
Kryteria uczestnictwa
Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.
Kryteria kwalifikacji
Wiek uprawniający do nauki
18 lat do 80 lat (Dorosły, Starszy dorosły)
Akceptuje zdrowych ochotników
Nie
Płeć kwalifikująca się do nauki
Wszystko
Metoda próbkowania
Próbka bez prawdopodobieństwa
Badana populacja
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.
Opis
Inclusion Criteria:
- obese people without detectable complications of coronary heart disease
Exclusion Criteria:
- Obese patients with angina pectoris, myocardial infarction, valvular heart disease and congestive heart disease had been excluded from the research.
Plan studiów
Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.
Jak projektuje się badanie?
Szczegóły projektu
Kohorty i interwencje
Grupa / Kohorta |
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Group A
observational time of three months in the obese group with distressed (type D) personality (high DS 14 score) with moderate aerobic exercise
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Group B
observational time of three months in obese group without distressed personality (low DS 14 score) with moderate aerobic exercise
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Co mierzy badanie?
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
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Change from Baseline in DS14 Score at 3 Months
Ramy czasowe: baseline and 3 months
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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).
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baseline and 3 months
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Change in STAIX-1 questionnaire score
Ramy czasowe: baseline and 3 months
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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
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Change in Peripheral Human Blood Leucocytes
Ramy czasowe: baseline and 3 months
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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.
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baseline and 3 months
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Change in Cortisol Levels
Ramy czasowe: baseline and 3 months
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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.
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baseline and 3 months
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Change in Heart Rate variability (HRV)
Ramy czasowe: baseline and 3 months
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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.
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baseline and 3 months
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Change in SWLS questionnaire score
Ramy czasowe: baseline and 3 months
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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.
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baseline and 3 months
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Change in QOLLTI-P questionnaire score
Ramy czasowe: baseline and 3 months
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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.
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baseline and 3 months
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Współpracownicy i badacze
Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.
Współpracownicy
Śledczy
- Główny śledczy: Mateja Hafner, M.D., Institute of Preventive medicine
Publikacje i pomocne linki
Osoba odpowiedzialna za wprowadzenie informacji o badaniu dobrowolnie udostępnia te publikacje. Mogą one dotyczyć wszystkiego, co jest związane z badaniem.
Publikacje ogólne
- Denollet J. DS14: standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosom Med. 2005 Jan-Feb;67(1):89-97. doi: 10.1097/01.psy.0000149256.81953.49.
- 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.
- 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.
- Ader R, Cohen N. Behaviorally conditioned immunosuppression. Psychosom Med. 1975 Jul-Aug;37(4):333-40. doi: 10.1097/00006842-197507000-00007.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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. Erratum In: J Am Coll Cardiol. 2014 Oct 7;64(14):1537.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Daty zapisu na studia
Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.
Główne daty studiów
Rozpoczęcie studiów
1 stycznia 2012
Zakończenie podstawowe (Rzeczywisty)
1 grudnia 2013
Ukończenie studiów (Rzeczywisty)
1 marca 2014
Daty rejestracji na studia
Pierwszy przesłany
1 lipca 2015
Pierwszy przesłany, który spełnia kryteria kontroli jakości
8 lipca 2015
Pierwszy wysłany (Oszacować)
9 lipca 2015
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Oszacować)
9 lipca 2015
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
8 lipca 2015
Ostatnia weryfikacja
1 lipca 2015
Więcej informacji
Terminy związane z tym badaniem
Słowa kluczowe
Dodatkowe istotne warunki MeSH
Inne numery identyfikacyjne badania
- 001563777
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