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View in PDF(opens in a new window)Research Article
Τhe Effect of the Pythagorean Self-Awareness Intervention on
Psychological, Lifestyle and Cognitive Measures of a Community Sample
Eleni S Zigkiri1, Nicolas C Nicolaides1,2,3,4, Flora Bacopoulou1,4,5, Dimitris Simos1,
Dimitrios Vlachakis6, George P Chrousos1,2,3,4.5* and Christina Darviri1*
1
Postgraduate Course Stress Science and Health Promotion, Medical School, National and Kapodistrian University of Athens,
Athens 11527, Greece
2
Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, Medical School, National and
Kapodistrian University of Athens, “Aghia Sophia” Children‟s Hospital, Athens 11527, Greece
3
Division of Endocrinology and Metabolism, Biomedical Research Foundation of the Academy of Athens, Athens 11527,
Greece
4
Clinical and Translational Research Endocrine Unit, Medical School, National and Kapodistrian University of Athens, Athens
11527, Greece
5
Center for Adolescent Medicine and UNESCO Chair on Adolescent Health Care, First Department of Pediatrics, Medical
School, National and Kapodistrian University of Athens, “Aghia Sophia” Children‟s Hospital, Athens 11527, Greece
6
Laboratory of Genetics, Department of Biotechnology, School of Applied Biology and Biotechnology, Agricultural
University of Athens, Athens, Greece
*Equal contribution
Received on October 31, 2019; Accepted on December 15, 2019; Published on December 30, 2020
Correspondence should be addressed to Eleni S Zigkiri ; Tel: +30 6978180765 ; Email: zigkiri@gmail.com
Abstract
Background: The aim of this study was to evaluate the effect of a novel cognitive-behavioral
stress
management
intervention,
termed
“Pythagorean
Self-Awareness
Intervention” (PSAI). Materials and Methods: The PSAI
was applied to a community sample for eight
weeks. Measurements included demographic characteristics, daily habits, sleep quality, fatigue, perceived stress levels and depressive symptoms.
Cognitive function was measured by the Symbol
Digits Modality Test (SDMT), the California Verbal Learning Test (CVLT) and the Brief
Visuospatial Memory Test-Revised (BVMT-R).
Results: The high-compliance group showed statistically significant differences in healthy lifestyle
and personal control choices (HLPCQ; p=0.006),
sleep quality (PSQI; p=0.007), self-regulation eating behavior (SREBQ; p=0.009), perceived stress
(PSS; p=0.001) and depressive symptoms
(p=0.003). Conclusions: Frequent practice of the
PSAI had a positive effect on the psychological,
lifestyle, and cognitive measures of the community sample. Larger studies are needed to establish
the PSAI as an effective stress management method.
Introduction
neously in different ways: fight, flight or freeze.
The response option certainly depends on previous ancestral or personal empirical and practical
recordings and/or experiences; nevertheless, the
organism must return to the previous harmonious
state, termed “homeostasis” (Bruce & Wingfield
2003).
Any excessive or prolonged activation of
the stress system results in the development of
several pathologic conditions, including anxiety,
Stress is a state in which our internal balance is
threatened by unpleasant and difficult circumstances or stimuli (Tsigos & Chrousos 2002). The
stress system consists of the hypothalamuspituitary-adrenal (HPA) axis and the locus caeruleus/norepinephrine-autonomic nervous system
(Chrousos 2009, Nicolaides et al. 2015). Upon
exposure to a stressor, the body may react spontaJournal of Molecular Biochemistry (2020) 1, 32-40
© The Author(s) 2020. Published by Lorem Ipsum Press.
Page 2
View in PDF(opens in a new window)depression, obesity, and metabolic syndrome
(Tsigos et al. 2000). In addition to the increased
activation of the HPA axis, the two parts of the
autonomous nervous system (sympathetic and parasympathetic) are unbalanced; therefore, the human body swifts or alters its allostatic load and the
organism is under distress (McEwen & Seeman
1999). However, the human body is cannot distinguish between physical or psychological distress,
so it is important for people to understand when
they are stressed or not and how stressed they are.
Cognitive-based techniques are among the
most common and well-adopted practices can be
used as stress management methods (Lorenzo et
al. 2016). Their implementation enables an individual to recognize which everyday situations or
thoughts are disturbing the harmony of the body
and the mind (and/or the soul) and to take action
to solve the problems mentally (Esch & Stefano
2010a, Esch & Stefano 2010b, Bougea et al.
2013). In the present study, we implemented a
stress management technique, termed the
“Pythagorean
Self-Awareness
Intervention” (PSAI), in a community sample. The technique integrates daily lifestyle habits (diet, exercise, eating and sleeping hours) into daily cognitive recall before bedtime. Changes in stress, anxiety and other emotional states were evaluated at
the beginning and end of the intervention via selfreport questionnaires.
Materials and Methods
Trial design
A one-armed pilot study was conducted in a community sample of adult men and women. The
study was consistent with the Declaration of Helsinki and was approved by the Scientific and Ethics Committee of the National and Kapodistrian
University of Athens, Greece. Written informed
consent was obtained for all participants at the
beginning of the study.
Participants
Adult men and women, aged 18 to 85 years old,
were recruited by means of advertisements with a
snowball method in the Attica basin. The inclusion criteria were as follows: i) age over 18 years;
ii) adequate knowledge of the Greek language;
and iii) ability to reach the venue of meetings autonomously for eight weeks. The exclusion criteria were as follows: i) participation in other stress
management programs; ii) experience of a major
stressful event in the past 3 months or during the
study; and iii) drug addiction. The intervention‟s
timetable included a first and last individual meeting, interviews and subjects‟ measurements and a
weekly three-hour group meeting session that occurred continually for six weeks. The group meetings consisted of evidence-based lectures about
stress and the influence of modern lifestyle habits
on human health (sleep duration, exercise, nutritional behavior etc.). A record of each week‟s lifestyle habits and a summary of the participants experiences were documented.
Pythagorean Self-Awareness Intervention
(PSAI)
The Pythagorean Self-Awareness Intervention
(PSAI) is a cognitive and behavioral stress management technique that has been developed and
implemented over the last eight years in clinical
and not clinical populations, by the postgraduate
program „„The Science of Stress and Health Promotion‟‟ of the Medical School of the National
and Kapodistrian University of Athens. The PSAI
has been previously evaluated as having beneficial
results, in patients with multiple sclerosis
(Anagnostouli et al. 2018), mild cognitive impairment (Darviri et al. 2016b), chronic insomnia
(Tsoli et al. 2018), ache vulgaris (Tsoli et al.
2018).
The content of the technique is based on
the Pythagorean philosophy (founded at the
Kroton of South Italy, 2500 years ago) and the
„„Golden Verses‟‟ of Pythagoras (URL: https://
en.wikipedia.org/wiki/
The_golden_verses_of_Pythagoras). According to
our knowledge, introspection and memory practicing were two of the most crucial tools, for the Pythagorean students in order to assess self-mastery
and self-awareness.
Each participant was trained to recall the
events of the day crossed and to evaluate his or
her behavior in relation to four main parameters,
i.e. daily activity (exercise and achievement of
10000 steps/day), nutrition (in terms of quality,
quantity and time of food intake), sleep time and
duration (circadian synchronization) and interpersonal relationships, especially in terms of anger
and non-harm (moral framework). Through this
multidimensional (holistic) process, which involved simultaneous body training (exercise, nutrition, sleep) during the day and mind training
(recall of events of the day) at night before sleep,
participants entered a process of introspection and
self-observation. The behavioral self-examination
was performed after the recall procedure at night,
Page 3
View in PDF(opens in a new window)with three questions: “What have I done wrong?”,
“What have I done right?”, “What have I omitted
that I ought to have done?”. The participants were
reminded to avoid emotional burden throughout
the process, and use passive voice for critical assessment. The implementation of the technique in
the morning included an early brief recall of the
previous day‟s events and organization of the upcoming day, before the start of daily activities.
All participants were also trained to perform diaphragmatic breathing and were advised to practice
it twice a day, especially before practicing the
PSAI.
Measurements
Stress and physical fatigue during the past week
were measured on a visual analog scale, rate from
zero to ten points on a 10 (cm) straight line. The
higher responses on the scale were, the higher the
associated perception. Cognitive function was
measured by the Symbol Digits Modality Test
(SDMT), the California Verbal Learning Test
(CVLT), and the Brief Visuospatial Memory TestRevised (BVMT-R).
Daily habits and the perception of stress,
depression, positive or negative emotions, and
sense of coherence were measured with the selfreport questionnaires listed below:
• Healthy Lifestyle and Personal Control Questionnaire (HLPCQ) (Darviri et al. 2014): This
questionnaire compiles data on healthy lifestyle
choices and assesses the adoption of everyday
healthy lifestyle habits. It consists of 26 items (12
on nutrition, 8 on daily management of time, 2 on
organized physical activity and 4 on social support, positive thinking practices, and evacuation of
the mind during bedtime). Each item is rated on a
four-point Likert scale from 1=rarely or never to
4=always. High scores indicate empowerment of
the individual's health.
• Pittsburgh Sleep Quality Index (PSQI)
(Kotronoulas et al. 2011): The PSQI consists of
19 self-report questions categorized into seven sub
-areas. Questions refer to the following issues occurring during the previous month: subjective
sense of sleep quality, latency of sleep time (i.e.,
how long it usually takes to fall asleep each
night), duration of sleep, usual sleep efficiency
(i.e. the percentage of time spent in bed sleeping),
sleep medication, and malfunction during the day.
The response options range from 0-3 and the overall ranking score is from 0 (high sleep quality) to
21 (low sleep quality). Lower scores suggest a
healthier sleep quality.
• Self-Regulation Eating Behavioral Questionnaire
(SREBQ) (Simos et al. 2018): This questionnaire
consists of two sections. The first scale refers to
the preference of consuming tempting foods such
as chocolate, pizza, pastries and sweets. It also
includes two more questions regarding intentions
to adopt healthier dietary choices. The second
scale consists of five questions about nutritional
behavior. The response options are on a Likerttype rating scale, and questions two and four are
scored-reversed.
• Perceived Stress Scale (PSS-14) (Andreou et al.
2011): The PSS is a fourteen-item self-report
questionnaire. It rates emotions and thoughts that
are perceived as stressful, on a 5-point Likert scale
(0 = never to 4 = very often). Higher scores indicate a higher level of a person's perceived stress
during the past month.
• Beck Depression Inventory (BDI-II) (Giannakou
et al. 2013): This questionnaire is a self-report
scale of 21 items, and is scored from 0 to 3. the
questionnaire measures the severity of depression
in adults and adolescents. Unlike the BDI, it evaluates the specific symptoms corresponding to the
diagnostic criteria for depression disorders, according to DSM-IV.
• Positive and Negative Affect Scale (PANAS)
(Daskalou & Sigkollitou 2012): This scale
measures positive and negative emotions. Twenty
randomly distributed words are used to describe
10 negative and 10 positive emotional situations,
each rated from 1 (very little) to 5 (very much).
As noted by the authors, low grades in positive
emotions may indicate a state of regret or apathy,
while in contrast, high grades of negative emotions, indicate a person likely to experience anger,
nervousness, fear or lack of satisfaction. The scale
has shown satisfactory validity of conceptual construction confirming the two distinct negative and
positive emotional subclasses. The Cronbach's
reliability alpha (a) is .71 for positive emotion
and .79 for negative emotion. The rating of the
total scale is derived from the individual subscale
averages.
• Sense of Coherence Questionnaire (SOC)
(Αnagnostopoulou & Kioseoglou 2002): This
scale was created by Aaron Antonovsky (1993)
and assesses the ability of a person to sense, to
understand the circumstances and to be able to
manage them. The internal coherence (the feeling
of cohesion) is considered a relatively stable feature of an individual. It consists of 13 items rated
from 1-7 (1=Very often and 7=Very rarely or never). The scale has high reliability and validity,
Page 4
View in PDF(opens in a new window)compared to other scales that measure the same
personality trait.
• Symbol Digits Modality Test (SDMT) (Sheridan
et al. 2006): This test examines attention and
speed of information possessing. During the test,
the participant is called to combine nine symbols
with nine numbers. After practicing in writing and
in ten consecutive combinations, the examiner has
90 seconds to finish the test verbally. A count of
the correct answers provides the total score of the
scale.
• California Verbal Learning Test (CVLT) (Stegen
et al. 2010): This test examines verbal memory.
Four conceptual groups of sixteen words are randomly included in a list. The examiner reads each
word to the examinee, in one-second interval from
the previous word. After listening to all of them,
the participant is asked to recall as many words as
possible. The procedure is repeated five times and
the score is calculated from a count of the remembered words. (the maximum score of correct answers is 90).
• Brief Visuospatial Memory Test-Revised
(BVMT-R) (Benedict 1997): This test is commonly used to measure visuospatial learning and
memory. The participant has ten seconds to memorize six different shapes placed in 6 different
frames and then to copy them onto a black sheet
of paper in the same position (2X3 frames). Two
points are given when both the shape and position
are correct, but only one point is given when only
the shape or the position is sketched correctly. The
final score (maximum 36 points) is the total count
of the three ongoing efforts.
Statistical analyses
A High Compliance Group (HCG) (N=25), practicing twice a day (morning and evening) five to
seven times per week and a Low Compliance
Group (LCG) (N= 9) (less than 5 times a week)
were obtained from the sample data. Data also included the following demographic variables
(gender, age, marital status, cohabitation, children,
education, employment, smoking habit), Body
Mass Index (ΒΜΙ) and scores on the Healthy Lifestyle and Personal Control Questionnaire
(HLPCQ), Pittsburg Sleep Quality Index (PSQI),
Regulation Eating Behavioral Questionnaire
(SERBQ), Perceived Stress Scale (PSS), Positive
and Negative Affect Scale (PANAS), Beck Depression Index (BDI-II), Sense of Coherence
(SOC), Symbol Digits Modality Test (SDMT),
California Verbal Learning Test (CVLT) and
Brief Visuospatial Memory Test-Revised (BVMT
-R). Measurements were performed at baseline
and 8 weeks after. Due to the small sample size,
the analysis was conducted using nonparametric
tests, namely, Mann-Whitney U tests for the between group comparisons and Wilcoxon Matched
Pair Test for the between time comparisons. The
level of significance between group and time periods was 0.05. Statistical analyses were conducted
using IBM SPSS Statistics Version 25 software.
Results
Flow chart of the study
Forty-two people had been recruited to participate
in the study. Ultimately, forty people proceeded
for evaluation. Three individuals were excluded
because they could not consistently attend the
weekly meetings for the entire eight-week period.
One participant dropped out of attendance after
having completed the baseline measurements and
before the program started, due to a serious family
-related health problem. Among the rest of the
participants, two more stopped attending after the
second meeting due to business trips.
Demographic data of participants
Of the 34 participants in the intervention group,
the majority were female (79.4%). The participants ages varied, with most being over forty
years old (64.6%). A total of 83.3% of the sample
had moderate (47.1%) to high (41.7%) educational levels. Seventeen subjects were married
(50.0%), and 35.3% had two children. Table 1
shows the demographic characteristics of the sample.
The study sample was divided into two
compliance groups according to the frequency of
application of the technique in the morning and in
the evening, during the week. A high-compliance
group (N=25) included those participants who
practiced the PSAI at a frequency of five to seven
times per week, and a low-compliance group
(N=9) was formed that included subjects who
practiced the technique less than 5 times per week
or not twice a day. The information was collected
by filling in a weekly calendar and responding to a
questionnaire, at the end of the intervention. At
the same time, participants were asked to record
any difficulties they faced.
PSAI improved several health components in
the high-compliance group
The high-compliance group (which practiced
twice-a-day and for more than five times per
Page 5
View in PDF(opens in a new window)Table 1. Demographic sample data (n=34)
Categories
Descriptive
N (%)
Gender
Male
7(20.6)
Female
27(79.4)
21-30
9(26.5)
31-40
3(8.8)
41-50
8(23.5)
51-60
8(23.5)
61-70
5(14.7)
>70
1(2.9)
Single
11(32.4)
Married
17(50.0)
Divorced
4(11.8)
Widower
2(5.9)
Alone
22(64.7)
Cohabit
11(32.4)
Yes
19(55.9)
No
15(44.1)
Basic
2(5.9)
Low
2(5.9)
Moderate
16(47.1)
High
14(41.2)
Employee
25(73.5)
Unemployment
4(11.8)
Retired
5(14.7)
Age group
Marital status
Cohabitation
Children
Education
Employment
Smoking Habit Yes
6(17.6)
No
20(58.8)
Ex-smoker
8(23.5)
Under weight
2(5.9)
Normal
10(29.4)
Overweight
13(38.2)
Obese
9(26.5)
BMI
Values refer to frequencies (N) and percentages (%).
Educational level was categorized as basic (high school graduates),
low (technical school graduates), moderate (Technological Educational Institution graduates), high (University graduates, Master
and PhD holders).
week) (N=25) showed statistically significant differences at post-intervention in healthy lifestyle
and personal control choices [HLPCQ] (p=.006),
sleep quality [PSQI] (p=.007), self-regulation eating behavior [SREBQ] (p=.009), perceived stress
[PSS] (p=.001) and depressive symptoms
(p=.003). Statistically significant differences were
also recorded in cognitive tests. Table 2 demonstrates the statistically significant differences between the scores on the self-report questionnaires
(e.g, healthy lifestyle scales, sleep quality, selfregulation of eating behavior, stress, perceived
stress, depression, positive and negative emotions,
and sense of coherence) and the cognitive tests
(processing speed, information retrieval, and visual memory) at post-intervention, for both groups.
Moreover, a statistically significant improvement
was recorded over time for stress (p=.003) and
physical fatigue (p=.012) in the high-compliance
group.
Certain qualitative outcomes were recorded during all sessions and at the end of the program. Some of the participants‟ comments are
quoted: "The technique helped me to identify
stressful conditions", "I do not allow anyone to
tear me down", "Ι am more resilient to negative
behaviors now", "Ι can cope with the quarrels
now", "I am so much more efficient at work", " My
sleep is rejuvenating", "I have stopped forgetting
what I had to do during the day".
Discussion
The use of everyday lifestyle choices as a therapeutic non-pharmaceutical model and for a holistic approach to human well-being has been proposed by the World Health Organization (WHO)
and other international standard recommendations
(ELMO, 2018, WHO, 7th Global Conference on
Health Promotion, n. d,, WHO | Track 2, n.d.,
WHO | Track 3, n.d). Furthermore, lifestyle
choices are included in many different techniques
and are recommended by many researchers addressing stress management programs. In 2010,
Erch and Stefano (Esch & Stefano 2010a) formally unified a "BERN" model on stress management
programs, arguing that the mode of action of such
combinatorial programs appears to work through
the release of hormones, such as dopamine, endorphin, and morphine, beyond other biological molecules (opioid receptor agonists, endocannabinoids, oxytocin or serotonin). However, since
these latter effects are clearly undefined and because of their nature, it is important that actions
are repeated. Thus, endogenous hormone secretion
on a daily basis is a crucial need for selfregulation of the body and endogenous dynamic
stress regulation (Habib et al. 2001). Neurobiologically, the common point between different ap-
Page 6
View in PDF(opens in a new window)Table 2. Group and time comparisons in the study sample (n=34)
HLPCQ
0 week
8 week
Significant by time
(p value)
HCG
68(41-92)
77(56-88)
0.006**
LCG
66(42-82)
77(42-82)
ns
ns
ns
HCG
5(1-11)
2(1-12)
0.007**
LCG
4(1-13)
1(0-7)
0.042*
ns
ns
HCG
17(7-25)
19(14-25)
0.009**
LCG
17(9-22)
17(14-21)
ns
ns
ns
HCG
40.5(21-63)
34(19-46)
0.001**
LCG
36(26-46)
31.5(22-50)
ns
ns
ns
HCG
1.5(1-5)
1(1-4)
0.003**
LCG
2(1-4)
1(1-4)
ns
ns
ns
Significant by group (p value)
PSQI
Significant by group (p value)
SREBQ
Significant by group (p value)
PSS
Significant by group (p value)
BDI II
Significant by group (p value)
PANAS
HCG
37.5(31-45)
39(25-46)
0.025*
positive
LCG
38(36-48)
43(28-46)
ns
ns
ns
Significant by group (p value)
PANAS
HCG
21.5(11-38)
17(10-34)
0.027*
negative
LCG
20(13-32)
20(14-26)
ns
ns
ns
HCG
67(37-79)
72(37-84)
0.049*
LCG
63(33-77)
63(28-81)
ns
ns
ns
HCG
52(24-95)
69.5(74-89)
<0.001**
LCG
55(35-68)
70(50-95)
0.008**
ns
ns
HCG
69(41-79)
72(54-79)
0.020*
LCG
66(38-74)
68(45-80)
ns
ns
ns
HCG
28(10-36)
30(20-34)
ns
LCG
24(2-34)
28(12-36)
0.041*
Significant by group (p value)
SOC
Significant by group (p value)
SDMT
Significant by group (p value)
CVLT
Significant by group (p value)
BVMT-R
Significant by group (p value)
Values represent medians (min-max).
BDI-II: Beck Depression Index; BVMT-R: Brief Visuospatial Memory Test-Revised; CVLT: California Verbal Learning Test; HCG: High
Compliance Group; HLPCQ: Healthy Lifestyle and Personal Control Questionnaire; LCG: Low Compliance Group; PANAS: Positive and
Negative Affect Scale; PSQI: Pittsburg Sleep Quality Index; PSS: Perceived Stress Scale; SDMT: Symbol Digits Modality Test; SOC:
Sense of Coherence; SREBQ: Regulation Eating Behavioral Questionnaire;
ns: no significant
*Level of significance p<0.05 **Level of significance p<0.01
Page 7
View in PDF(opens in a new window)proaches and therapeutic practices for stress management seems to be the common self-regulatory
circuits of rewards and motives of the human central nervous system (Esch & Stefano 2010b). The
overlap between forms of neurological selfregulation and self-healing makes cognitivebehavioral interventions extremely useful therapeutic practices that support the medicine of the
mind and body through the modification of the
behavioral column (King et al. 1996, Reijnders et
al. 2017).
The "PSAI" technique is one such combinational approach, that aims to improve an individual‟s everyday lifestyle, memory, and wellbeing. This goal accomplished through a multidimensional process, which includes the following:
i) body training through daily exercise; ii) particular eating behaviors, in terms of the food quality
and fixed meal times; iii) early evening sleep for
better circadian rhythms; iv) mnemonic/memory
education through the daily recall of the events of
the completed day; and v) evaluation of the behaviors and actions (activities) of the completed
day and planning of the day that begins. The main
advantage of the PSAI technique is the one-time
training, and the ability to be practiced by training
at home with no extra cost. As a difficulty in applying the technique, the trainees reported fatigue
at bedtime, hence, many fell asleep (especially
those reporting going to bed late at night), and did
not have sufficient time in the morning, as they
needed to hurry to work.
The limitations of the study include the
small sample size and the group diversity in terms
of compliance with the PSAI. Furthermore, interventions in community samples in which the collection method does not involve randomization
but rather accidental or convenience sampling, as
well as collection through advertising or in the
form of snowball sampling, have the peculiarity
that, beyond diversity, there is limited ability to
control bias and avoid systematic errors (Neuman
2005). However, a key advantage of these methods is the low cost of conducting the study, the
ease of accessing the sample and the reduced time
for obtaining the necessary data.
In our days, the most prevalent trend for
the stress management techniques is the motivation for the individual to change the control center
of his or her desires and priorities (Nutbeam 2000;
Sørensen et al. 2013). It is argued that through this
methodology the person modifies the choices of
his/her lifestyle and gradually his/her behavior
whenever he/she is empowered for a new start
(wellness restart). Gradually, self-empowerment
and self-efficacy can be seen as part of individuals
development towards improving their quality of
life, from a eustress situation to a state of wellbeing (ευ ζην) (Crocq 2015).
In conclusion, the frequent practice of the
"Pythagorean Self-Awareness Intervention'' had a
positive and significant effect on the psychological, lifestyle and cognitive measures, i.e, healthy
lifestyle and personal control choices, sleep quality, self-regulation eating behavior, perceived
stress and depressive symptoms, of the community sample studied. Further studies in larger population samples are needed to establish the PSAI as
an effective stress management method.
Conflicts of interest
There is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.
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