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Completed

NCT Number: NCT02493413

The Stress-release Effects of Exercise in Obese Are Determined by DS14 Score and T-cell Activation Status

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.

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Key information

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. Change from Baseline in DS14 Score at 3 Months

    Time frame: baseline and 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).

  2. Change in STAIX-1 questionnaire score

    Time frame: baseline and 3 months

    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.

  3. Change in Peripheral Human Blood Leucocytes

    Time frame: baseline and 3 months

    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.

  4. Change in Cortisol Levels

    Time frame: baseline and 3 months

    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.

  5. Change in Heart Rate variability (HRV)

    Time frame: baseline and 3 months

    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.

  6. Change in SWLS questionnaire score

    Time frame: baseline and 3 months

    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.

  7. Change in QOLLTI-P questionnaire score

    Time frame: baseline and 3 months

    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.

Sponsors and collaborators

Lead sponsor

Institute for Preventive Medicine, Trzaska

Other

Collaborators

  • University of Ljubljana

Registry information

Important dates

Study start
2012
Primary completion
2013
Study completion
2014
First posted
Jul 9, 2015
Registry last updated
Jul 9, 2015

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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