Friday, 24 September 2021
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Lupine Publishers | Public Health Followership During Covid19: Are followers more dangerous than their leaders?
Lupine Publishers | Scholarly Journal Of Psychology And Behavioral Sciences
Introduction
The
Covid19 pandemic has been a hybrid of 3 components, a highly contagious virus
SARSCov2 [1], a culture of fear leading to risk aversion [2], and an escalating
sovereign debt overhang [3] risking austerity and loss of ‘non-viable’ jobs.
Currently a ‘second wave’ involving all three components is underway.
Followership is a recent notion within the leadership genre [4], with recent
literature emphasising the effect followers have on moderating behaviour of
leaders, through a combination of stable and dynamic factors, in keeping with
the social impact theory [5]. Followers are expected to cultivate aptitudes to
function in a subordinate role, whilst assisting ‘the Leader’ in enacting his
or her wishes. Historically followers were volunteers to a cause, for example
‘people of the way’ who followed the teachings of Jesus, accepting the task of
persuading others towards ‘God’s kingdom on earth’ There was no expectation of
monetary or social gain, but a real risk of martyrdom [6]. However, over the
last century followership has become professionalised, for example in medicine
[7], with followers seeking employment in public services, charities or
academia; motivated by monetary and career ambitions including the prospect of
civic honours. Despite senior followers often having specialist expertise,
which leaders have to depend on, they can suffer reputational damage on being
demoted or transferred from their post if found wanting. In return, it is [or
at least was], expected for leaders to ‘carry the can’ when actions by
followers caused unfortunate outcomes. Consequently, relationships between
leaders and their followers can be tense or ambivalent [8].
Known Knowns
Prior
to Covid19, western governments had developed elaborate plans to manage
pandemics. Early intervention was seen as crucial for avoiding exponential
contagion and associated economic losses. Furthermore, ‘event 201’ - a
scenario-based exercise was conducted in October 2019 organised by the World
Economic Forum, the Gates Foundation and the Johns Hopkins University. This
meeting concluded that robust organisational links should be created between
public health agencies, universities and private logistics firms [9]. However,
despite attendance of senior bureaucrats from all relevant stakeholders, no
follow-through occurred; perhaps due to recent pandemics [SARS and EBOLA]
petering out with negligible western deaths, probably compounded by public
health bodies undergoing ‘restructuring’ with associated job insecurity.
Unknown Knowns [Pre-Covid19]
Leadership
training in public services have tended to involve ‘in house’ expertise, rarely
utilising insights from the financial sector. One key market risk analyst is
Nasim Taleb; who coined the term ‘black swan’; events which are completely
unpredictable but highly consequential, bursting bubbles of irrational
investment; leading to major restructuring of businesses and public sector
organisations. Taleb went on to write a follow up book; ‘Antifragilie; the
things that gain from disorder’ [10]; the idea being that unexpected disruption
revels fragile teams and organisations; which typically fold at an early stage
during a black swan event, whereas other teams and organisations survive and
thrive. Public services, charities and academia have largely ignored Taleb’s
work, perhaps considering themselves protected from market forces, with posts
guaranteed through public funding. Although these organisations have repeatedly
discussed the need for ‘transformation’, this has not involved building
antifragility. Furthermore, there is limited recognition that talented staff
move jobs, to work with antifragilie minded teams and leaders.
On
selection of senior followers, Warren Buffet [Berkshire Hathaway Investments]
described his strategy in recruiting senior staff being based on 3 values;
energy, intelligence and, most of all, integrity [11], suggesting that recruits
without integrity could ‘kill’ organisations. Integrity, defined by C.S. Lewis
as ‘doing the right thing when no one is watching’, is arguably not necessarily
a quality foremost in public sector recruitment, where a talent to cut costs
and capacity to remain ‘on message’ perhaps being more sought after. The other
book relevant to followership is by Paul Babiac and Robert Hare; ‘Snakes in
suits; when psychopaths go to work’ [12]. They describe 2 types of damaging
followers, firstly those who use the organisational hierarchy to maximise
power, and secondly, ‘enablers’ who enforce instructions of their leaders using
bullying [13]. The consequences of these individuals include loss of trust
between employees, loss of productivity and litigation when evidence of
malfeasance comes to light.
Known Unknowns [Post Covid First Wave]
The
main observation within the first 2 months of the pandemic was the failure by
western public health bodies to communicate risks and safeguards to the public
[14]. Perhaps they were awaiting guidance from the World Health Organisation
[WHO], which delayed calling the pandemic, having ignored warnings on
human-to-human transmission for a crucial 3 week period in January. These
bodies were perhaps also awaiting orders from their political leaders, despite
these individuals being conflicted on economic preservation and maintaining
public popularity. However, public health bodies in the east, with experience
of the original SARS pandemic, reacted promptly warning the public on the
emerging problem alongside organising testing, contact tracing and quarantining
of the vulnerable [15]. The other finding has been the gap between promises made
by western politicians on testing and contact tracing compared to actual
delivery of these targets. Despite the pre-pandemic protocols, public health
has been unable to rapidly organise testing for the virus, alongside failures
of contact tracing [16]. Early involvement of firms with track records on
logistics was absent, alongside not involving private labs to increase testing
capacity. It appears politicians were not aware of practical problems with
delivery either due to subordinates not advising them of facts on the ground or
due to followers wanting to please their masters with good news [including cost
minimisation]. The decision by NHS England to discharge around 25,000 elderly
hospital patients in April to care home beds before routine testing for
SARSCOv2 was available [17] probably resulted in 50% of care homes contracting
Covid19, with around 15,000 elderly deaths. This decision is awaiting legal
review as there was no attempt to separate potentially infective people from
the other residents, for example by setting up separate care home floors with
dedicated staffing. The rationale for bed clearance was to ‘protect the NHS’
although in reality NHS hospitals did not come close to becoming overwhelmed
[18]. Nevertheless, over 90% of care home residents were promptly placed on a
combination of ‘Do not resuscitate’ orders and ‘Emergency health care’ plans,
both reducing the possibility for active treatment of acute illness episodes.
NHS England have denied influencing GP practices to carry this action and the
government has ordered the Care Quality Commission to investigate blanket
imposition of these orders in England [19].
Unknown Unknowns [Post ‘Second Wave’]
The
main unknown pertains to how the virus will exert its effects on the population
through continuing mutation, partly caused by attempts to degrade it by the
immune system. There is concern that infectivity will increase [20], with long
term disability affecting the heart, brain and lungs among Covid19 survivors,
including those with ‘sub clinical’ initial symptoms [21]. Furthermore,
uncertainty remains on effectiveness of the current crop of 11 vaccines
undergoing human trials, especially on preventing community spread of
infection, as viral carriage in the upper respiratory tract post vaccination is
not guaranteed [22]. It is anticipated that spikes of infection will continue
for the next 12 months resulting in local ‘circuit braking’ restrictions,
although uncertainty remains as to the efficacy of these measures, partly due
to less than full public adherence. Partially tested vaccines can be authorized
for emergency use, but continuing concerns about delivery, storage and public
uptake remain [23]. An evidence-based case for population wide prophylaxis
using Vitamin D and Zinc supplementation has been made to public health bodies
[24,25] in the face of commercial interests of vaccine and drug manufacturers.
Conclusion
Covid19
has cast a harsh light on weaknesses of public health bodies in the west and
the resulting risk to populations they were meant to protect. It seems unfair
to solely blame their political masters, as they are highly dependent on
competent civil servant followers, who monitor situations on a week-to-week
basis and take operational decisions. Differential roles of elected leaders and
their subordinate followers needs redrawing, to avoid loss of public trust due
to failures in delivering on promises. Followers must speak ‘truth to power’ on
realities on the ground, whilst focusing on building ‘anti-fragility’ within
organisational teams, utilising scenario planning and stress testing,
thereafter by updating and simplifying practice algorithms. This would free up
leaders to communicate with the public with confidence, whilst formulating the
future direction of travel [‘the vision’]. This demarcation of roles would
produce less conflict and better service delivery going forward, despite
recurring ‘black swan’ events. Furthermore, ethical responsibilities of
followers need redefining; with an emphasis on duty of care and candour towards
the public who ultimately fund them through taxation. This includes admission
of mistakes and the courage to ‘whistle blow’ if concerns on public safety are
not being acted on by their political masters. Furthermore, capacity for
integrity - described as essential by Warren Buffett - will need to be
prioritised in recruitment post Covid19.
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Friday, 17 September 2021
Lupine Publishers | The Associations Between Fear of COVID-19 and Preventive Behaviors Among People in Gaza Strip, Palestine
Lupine Publishers | Scholarly Journal Of Psychology And Behavioral Sciences
Abstract
The
COVID-19 pandemic is a global health emergency that could severely impact
mental health. Fear of COVID-19 or its risk perceptions is strongly associated
with COVID-19 preventive behaviors. This study aimed to examine the
associations between the anxiety of COVID-19 and preventive behaviors among
People in the Gaza Strip. The sample consists of 682 participants. A
cross-sectional online survey design was used; all participants completed the
Fear of COVID-19 Scale (FCV-19S) and preventive behavior scale. The required
data were collected and analyzed. The mean fear of COVID-19 score was 2.51 (SD
= 0.83, range: 7–35), while the mean score for preventive behavior was 2.48 (SD
= 0.38, range: 3–30). Besides, results showed participants from the North Gaza
governorates and those with low educated levels had the highest level of fear
of COVID-19. In contrast, females and highly educated participants were more
likely to engage in preventive behaviors than other participants. Our findings
show no significant associations between fear of COVID-19 and adherence to
preventive behaviors. It is essential to continue monitoring the psychological
reactions of people during the outbreak.
Keywords: COVID-19; Fear; Preventive
Behaviors; Palestine; Gaza Strip.
Introduction
The
COVID-19 pandemic is a global health emergency that could severely impact
public health [1]. The outbreak was first revealed in late December 2019 when
clusters of pneumonia cases of unknown etiology were found in the city of Wuhan
of Hubei Province, in China [2]. Ever since the coronavirus disease 2019 (COVID
19) attained a pandemic status [3], there have been strenuous efforts by health
experts and authorities worldwide to mitigate the spread of the virus [4]. This
includes installing health protocols such as washing hands regularly, wearing a
face mask and keeping at least a physical distancing meter from each other
during a social gathering [5]. Toward prevention of COVID-19, the Ministry of
Health (MOH) declared a state of emergency and recommend that several safety
protocols such as hand washing, wearing of face mask, physical distancing, and
quarantining, all travellers coming through Rafah and Beit Hanon (Erez)
crossings had undergone a compulsory quarantine at one of the MOH designated
facilities, isolation hospitals, and health quarantine centers. People stay for
21 days in quarantine centers. On 26 August 2020, MOH in Gaza confirmed the
first COVID-19 spread through the Gaza strip community. The total number of
confirmed cases is 63428, of which 6614 are still active cases, 56211 cases
fully recovered and were discharged, while the number of deaths reached 603
deaths. However, reliance on government action alone is insufficient to control
COVID-19 disease totally (WHO) proposed several personal preventive behaviors
for individuals to engage in to prevent COVID-19 infection. Therefore,
understanding the factors associated with individuals’ preventive behaviors is
an important topic during the COVID-19 pandemic [6- 10].
One
psychological aspect of the COVID-19 pandemic is fear. Fear is an unpleasant
emotional state triggered by the perception of threatening stimuli [11]. Also,
fear of COVID-19 or its risk perceptions is strongly associated with COVID-19
preventive behaviors [8]. After reviewing the literature, the authors found
that fear of COVID-19 are associated with preventive COVID-19 infection
behaviors. Some accurate COVID-19 information (e.g., the death rate and numbers
of confirmed cases) may trigger an individual’s fear of COVID-19 and induce
psychological distress [12]. The authors believe that trust in COVID-19
information sources may improve awareness of preventive behavior; on the other
hand, it may affect mental health, including an increase in fear of COVID-19
and induce psychological distress. A study aimed to assess the prevalence and
predictors of depression among the Palestinian community during this pandemic
found that the prevalence of depression was 57.5% [13-17]. As well known, life
in Gaza is so tricky due to the unusual circumstances that the Palestinian
people are living under the continuing Israeli blockade. There are many forms
of suffering that the Palestinian people experience, such as unemployment,
poverty, security instability, siege, and finally impact of the COVID-19 pandemic.
All of these factors, when combined, increase mental health problems [18-20]. A
recent study aimed to examine the psychological distress among healthcare
providers during the COVID-19 Pandemic in Gaza Strip, which found that
depression level 68%, anxiety 69%, stress 67% [21]. In Gaza, no studies were
conducted to examine the associations between fear of COVID-19 and preventive
behaviors according to the authors’ knowledge. This study will provide
information and data for all concerned people. On the other hand, this study
will increase the mental health body knowledge in Palestine; this study seeks
to examine the associations between fear of COVID-19 and preventive behaviors
among People in the Gaza Strip.
Methods
Study population, sample, and setting
The
target population comprises all 18 years or older people and currently living
in the Gaza Strip. The sample consists of 682 participants. We adopted a
cross-sectional survey design to measure fear COVID-19 and to assess how
individuals perform preventive COVID-19 infection behaviors among the study
sample by using an online survey. A snowball sampling method focused on
recruiting the general public living in Gaza Strip during the pandemic was
conducted. The online survey was first disseminated on Facebook and WhatsApp
applications to friends, and they were encouraged to pass it on to others.
Procedure
Since
the MOH recommended the public to minimize face-toface interaction and isolate
themselves at their homes, potential respondents were electronically invited.
All of them completed the questionnaires in Arabic through an online survey.
Ethics approval was obtained from the Helsinki Ethical Committee in the Gaza
Strip, Palestine (Code: PHRC/HC/735/20). Privacy was strictly protected during
the procedure. The purposes of the study and information about it were posted
on the first page of the questionnaire. To protect data and preserve privacy,
the authors contacted the participants by phone and electronically and
explained the objectives of the study and the content of the questionnaires and
thanked them for participating in the study. The questionnaire was sent to a
specialist in English translation. After that, the Arabic version was sent to a
specialist in Arabic for accreditation, and then finally, back translation to
Arabic was done. All respondents provided online informed consent before
starting the questionnaire. Data collection took place over seven days (28
September to 5 October 2020).
Instrument
Demographic information
The
demographic variables explored included the age, gender, marital status,
governorate region where the participant resided, and education level.
Fear of COVID-19 scale
(FCV-19S)
includes seven items with a 5-point Likert scale (1 = strongly disagree; 5 =
strongly agree) to assess how an individual fears COVID-19. The validity and
reliability of the tool were verified. The Arabic Version of (FCV-19S) has
excellent psychometric properties; internal consistency (Cronbach’s alpha=.88),
with concurrent validity indicated by significant and positive correlations
with HADS (r = .66).
COVID-19 preventive behavior scale
It
consists of 10 items formulated based on WHO measures to prevent the spread of
COVID-19. Items were assessed on a 3-point Likert scale (always=3, sometimes=2,
rarely=1). A higher score indicates a more outstanding commitment to protective
behaviors COVID-19. The validity of the questionnaire was confirmed using the
viewpoints of nine public health and psychology experts. The reliability of the
questionnaire was investigated by calculating internal consistency (Cronbach’s
alpha=.825) [22].
Results
Characteristics of the study sample
In
this study, 682 participants completed and returned the questionnaire, 46.5%
were male, and 53.5% were female, the age group between 21 and 40, represented
68% of the participants, 49.6 % are single, most of the participants (70.7%)
were currently studying in college, and On the other hand, 10.7% of them are
studying a master or doctorate (Table 1).
Table 1: Sociodemographic
characteristics (n = 682).
Fear of COVID-19 and preventive behaviors
scales
The
highest score item was item 2, “It makes me uncomfortable to think about
coronavirus,” by 52% of participants. While item 3, “My hands become clammy
when I think about coronavirus,” is considered the lowest item with (7.8%).
Result shows (58.5%) of the participants disagree that they have a fear of
COVID-19. The most preventive behaviors were Cover the nose and mouth when
coughing or sneezing, where 90.67% of respondents always said, “I place a
tissue paper or bending elbow in front of my mouth and nose when coughing or
sneezing.” According to the concerned authorities, they always told: “I adhere
to the instructions when leaving the house” by 85.67%. While washing hands
regularly with soap and water for at least 20 seconds came thirdly 85.33%.
On
the other hand, the lowest prevention behaviors keeping a safe space between
themselves and other people were just 74.67% of the sample said: “keep a
distance of at least 1.5 m. from others” (Table 2).
Table 2: Fear
of COVID-19 and preventive behaviors scales.
Correlation between fear of Covid-19 and
preventive behaviors
Using
Pearson correlation, the correlation coefficient was low and not significant (r
= 0.006, P = 0.875).
Variations of fears and preventive measures
concerning socio-demographic characteristics
Significant
differences are shown between fears of COVID-19 and preventive behaviors with
education level and residence place (P < 0.001). Post-Hoc Sheffie’s test
revealed fear of COVID-19 is more in the northern part of the Gaza strip and
among low educated participants. In contrast, preventive behaviors are more
adopted in Gaza city and among the highly educated. Concerning gender, the
significance is reported with preventive behaviors favoring females (P = 0.004)
(Table 3).
Table 3: Comparison
between fears of COVID-19 and preventive behaviors concerning socio-demographic
characteristics.
Discussion
This
current study examined the associations between fear of COVID-19 and Preventive
behaviors among people in the Gaza Strip. Contrary to expectation, there were
no significant associations between fear of COVID-19 and adherence to
preventive behaviors. Participants’ commitment can be attributed to factors
other than fear, such as their autonomous motivation and government
legislation; this is in line with the findings [23]. These disagree with the
findings of previous studies that there exists an association between fear of
COVID-19, mental health, and COVID-19 preventive behaviors [4,24]. There are no
statistically significant differences at a substantial level (α ≤ 0.05) between
demographic factors, age, gender, marital status, and fear of COVID-19. This is
inconsistent with other reports showing greater psychological vulnerability in
women than men during the COVID-19 pandemic [2,5,9]. On the other hand, there
is a statistically significant difference at a substantial level (α ≤ 0.05)
between the place of residence favoring the North Gaza Governorate, low
educational level, and the fear of COVID-19. This can be explained due to a
vast outbreak of COVID-19 in the North Gaza Governorate; lockdown measures were
implemented, leading to amplifying adverse psychological reactions to COVID-19.
This finding is consistent with [17]. The entirety conclusions suggest that
fear of COVID19 may play an integral role in the health and preventive
behaviors among low educated participants.
There
are no statistically significant differences concerning the preventive behavior
results at a significant level (α≤0.05) between demographic factors, age,
marital status, and preventive behavior. In contrast, there is a statistically
significant difference at a considerable level (α ≤ 0.05) between the place of
residence in favor of Gaza city, high educational level, gender in favor of
female and preventive behavior. This is due to the high level of fear among
females, which motivates them to adhere to preventive behaviors. Urban residents
like Gaza Governorate can buy the necessary health equipment for prevention.
Their work can be performed from home; unlike in other areas staying at home
would imply dropping their primary source of livelihood; this finding is in
line with the Rossi. Participants reported high adherence to preventive
behaviors, and those with high education levels were associated with more
commitment to preventive behaviors. This may be due to participants’
characteristics, as (81.4%) have a bachelor’s degree or higher, these results
were found in line with previous studies [15,19].
Conclusion
Our
findings show that there were no significant associations between fear of
COVID-19 and adherence to preventive behaviors. This study demonstrated a
statistically significant difference at a significant level (α ≤ 0.05) between
the place of residence in favor of the North Gaza Governorate, low educational
level, and the fear of COVID-19. On the other hand, there is a statistically
significant difference at a significant level (α ≤ 0.05) between the place of
residence in favor of Gaza city, high educational level, gender in favor of
female and preventive behavior. The current study indicated a
lower-than-average level of fear of COVID-19 and an increased commitment to preventive
behaviors among participants. Education level and gender have an essential role
in the management of people’s health and preventive behaviors. Health experts
and communicators may capitalize on these findings to educate people on
COVID-19. It is crucial to continue monitoring the psychological reactions of
people during the outbreak.
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Monday, 23 August 2021
Lupine Publishers | Subjective Well-Being Among Elementary School Teachers and its Related Factors: Taking Guangdong Province as an Example
Lupine Publishers | Scholarly Journal Of Psychology And Behavioral Sciences
Introduction
Subjective
well-being (SWB) can be defined from multiple perspectives. Most researchers
agree with the concept put forward by Diener (1984) and believe that subjective
well-being is an individual’s overall assessment of their quality of life
according to their own standards.
Which includes the following three aspects:
a)
Cognition and evaluation of their own quality of life (i.e., life
satisfaction); and
b)
Positive emotions include happy, meaningful life, full of spirit and other
emotional experience.
c)
Negative emotions include anxiety, depression, sadness, loneliness, boredom and
discomfort and other emotional experience, but not affective disorder and
neurosis.
It
can be seen that subjective well-being has the following three basic
characteristics:
a)
Subjectivity: The evaluation of subjective well-being mainly depends on the
standards set by oneself rather than the external standards, so subjective
reporting method is often used to evaluate.
b)
Integrity: subjective well-being reflects the overall subjective quality of
life of the individual.
c)
Relative stability: subjective well-being does not change significantly with
the passing of time or the general change of environment [1].
Primary
school teachers have made important contributions to China’s basic education,
trained generations of children for millions of families, and provided batch
after batch of reserve talents for the society. However, due to various factors,
the subjective wellbeing of primary school teachers is relatively low, which
affects the work enthusiasm and effectiveness of primary school teachers to a
certain extent [2-3]. In recent years, with the implementation of a series of
national basic education policies and the improvement of the developmental
environment, the subjective well-being of primary school teachers has attracted
more and more attention from all walks of life. There is few domestic research
on the factors influencing the subjective well-being of primary school
teachers. Most of the previous research focus on limited two or three factors,
and the factors involved are different [2-3]. It is unable to systematically
reveal the influencing factors and the mechanism of the subjective well-being.
Based on the above analysis, this study intends to adopt a large sample multi
center empirical research to systematically expound the status and various
influencing factors such as the demographic factors, teaching related factors
and personal factors of primary school teachers’ subjective well-being.
Object and Methods
Object
Sample size estimation
the
minimum sample size is calculated by g.power3.0 [4]. This method needs to be
based on the incidence, but subjective well-being is a continuous variable,
only with high and low points, without whether or not points, so cannot
directly use subjective well-being to calculate the sample size. As depression
is a common psychological disorder, which plays an important role in predicting
subjective well-being, so we use the prevalence rate of primary school
teachers’ depression to calculate the sample size. Previous studies showed that
the incidence rate of depression among primary school teachers in China was
7.70% to 57.60% [5- 8], and the median test effect was d, which was 0.50 to
0.80 [9]. In this study, the effect value d = 0.70, the statistical test power
1 - β = 0.80, and the class I error probability α = 0.05 are set. The minimum
sample size needed for the survey is calculated as 846. The minimum sample size
is determined as 1016 due to a potential loss rate of 20%.
Sampling
By
stratified random sampling, a total of 1400 primary school teachers were
selected from Shenzhen, Jiangmen, Zhuhai, Shanwei and Zhanjiang from April 2020
to May 2020. Inclusive criteria: over 20 years old, normal spirit and
intelligence, more than 1 year of teaching in primary school. Exclusion
criteria: those who could not complete the scale due to serious physical
diseases, mental disorders and other reasons. In fact, 1368 people met, with a
visit rate of 97.7%. Among them, 9 (0.6%) were positive by mini mental state
examination (MMSE) and 76 (5.4%) were not willing to cooperate with the survey.
A total of 1283 people completed the survey, and the effective rate was 91.6%.
Among them, there were 361 from Shenzhen, 418 from Jiangmen, 206 from Zhuhai,
102 from Shanwei and 196 from Zhanjiang; the average age was (33.8 ± 10.6)
years old; 318 from 20 to 30 years old, 354 from 30 to 40 years old, 327 from
40 to 50 years old and 284 from 50 to 60 years old; 485 unmarried, 257
divorced, 48 widowed and 493 married; 337 from senior high school or technical
secondary school, 439 from junior college, 473 undergraduates and 34 with
master’s degree; 853 from city or town, 430 from rural; 417 substitute teachers
and 866 teachers in the personnel establishment.
Tools
Subjective well-being scale (SWBS)
It
includes two parts: Life Satisfaction Scale and Emotion Scale. Subjective
well-being level (SWB) is the score of life satisfaction plus emotional
balance.
Satisfaction with Life Scale (SLS)
It
is compiled by Diener (1985) [10] and used to evaluate the satisfaction with
oneself’ s life and the closeness to his (or her) ideal life. SLS includes five
items. The likert 7-point scoring method is used to score from 1 to 7 points
corresponding to “strongly against” to “strongly for”. The higher the total
score, the higher the degree of life satisfaction. In this study, the
cronbach’a coefficient of the scale is 0.824.
Affect scale: positive affect, negative
affect, affect balance (AS)
It
is compiled by Bradburn (1969) and revised by fan Xiaodong into Chinese version
[11], which is used to assess the emotions and life evaluation of the general
population in the past few weeks. There are 10 items, which are divided into
three dimensions: positive emotion, negative emotion and emotional balance. If
the answer is “yes” to the positive emotion item, 1 point will be scored; if
the answer is “no” to the negative emotion item, 1 point will also be scored.
The emotional balance is calculated by subtracting the negative emotional score
from the positive emotional score and adding a coefficient of 5. In this study,
the cronbach’a coefficient of the total table is 0.886, and the cronbach’a
coefficient of each dimension is 0.814-0.837.
Test of teaeher competency (TTC)
I
it is compiled by Xu Jianping [12] to evaluate the professional competence of
primary and secondary school teachers. There are 50 items, which are divided
into 10 subscales: personal characteristics (TRI), focus on students (FCN),
professionalism (EXP), interpersonal communication (ICO), relationship building
(RB), information collection (INFO), professional preference (PP), respect for
others (RO), understanding others (UO), lie detection (LIE). The 5-point
scoring method is used to score from 1 to 5 points corresponding to “completely
inconsistent” to 5 “completely consistent”. The higher the score, the stronger
the professional competence. In this study, the cronbach’a coefficient of the
total scale is 0.894, and the cronbach’a coefficient of each subscale is
0.815-0.845.
Social support rating scale (SSRS)
it
is compiled by Xiao Shui yuan [13] to evaluate the social support and its
utilization. There are 10 items, which are divided into three dimensions:
objective support (i.e., the actual support received), subjective support (i.e.
the support that can be experienced or emotional), and utilization of support
(i.e. the active use of various social support, including the way of talking,
the way of asking for help, and the situation of participating in activities).
The higher the score, the higher the degree of social support. Generally
speaking, the total score of less than 20 is to get less social support, 20~30 is to get general social support, and
> 30 is to get satisfactory social support. In this study, the cronbach’a
coefficient of the total scale is 0.907, and the cronbach’a coefficient of each
dimension is 0.830~0.879.
Mini mental state examination (MMSE)
It
is also known as simple mental state checklist, compiled by folstein et al
(1975) and reviewed by Zhang mingyun[14] into Chinese version, which is the
most authoritative cognitive screening scale in the world. MMSE has five items,
including time and location orientation, language (retelling, naming,
understanding of instructions), mental calculation, immediate and short-term
auditory word memory, visual structure imitation, mainly for simple assessment
of orientation, memory, language, calculation and attention, etc. the test
takes 5-10 minutes. MMSE is simple to operate, and has high reliability, validity,
specificity and sensitivity. The total score of the scale was 30, the dividing
value was illiteracy group ≤ 17, primary school group ≤ 20, middle school or
above group ≤ 24. Cognitive dysfunction existed when the score is below the
threshold. In this study, the Cronbach ‘a coefficient of the scale is 0.811.
Self-compiled questionnaire for the related
factors of elementary school teachers’ subjective well-being.
The
CNKI, Wanfang database, VIP database, Baidu, Pubmed and other search engines
are used to search the literatures about subjective well-being among elementary
school teachers (206 in Chinese and 13067 in foreign). Based on that, the basic
content of the questionnaire is constructed, with a total of 28 items. Combined
with the results of 3 collective discussions with 10 representatives of
elementary school teachers and 5 experts in the field of elementary education,
4 items were deleted, and 1 items were added. The final questionnaire for
related factors of elementary school teachers’ subjective well-being consists
of 25 items, including gender, age, teaching age, teaching grade, marital
status, how many children do you have, education, professional title, teaching
subjects, posts, whether a head teacher, category of personnel arragement, administrative
region of school, health, selfstudy, work environment, occupation development
prospect, selfevaluation of performance, colleague evaluation of performance,
annual income, time to work, rationality of performance evaluation, physical
exercise, tourism and so on.
Collection and Arrangement of Data
Before
the investigation, the researchers who participated in the survey were trained
uniformly, and the investigation process and evaluation standard were unified.
The consistency test (kappa = 0.81~ 0.90) met the test requirements. The
questionnaires with scores of more than 50% of the items missing were
eliminated. The missing values of the valid questionnaires were estimated and
filled with the average. Two researchers independently input the same data
using Epidata3.0 software and conduct a unified logic check to ensure the
accuracy of the data.
Statistical methods
Data
was exported from epidata3.0 to SPSS 20.0 for statistical analysis. The main
statistical methods include descriptive statistics and multiple linear
regression analysis.
Ethical licensing
The
procedure of this study is in accordance with the ethical standards set by the
ethics committee of Department of Education of Guangdong Province and approved
by the Committee.
Results
Descriptive statistics
The
total average score of SWB was (-0.05 ± 2.19), and the total average score of
TTC and SSRS were (3.73 ± 0.61) and (33.71 ± 5.52), respectively. It shows that
the subjective well-being of primary school teachers in this group is on the
low side, and their competence is on the high side. They get more satisfactory
social support, as shown in Table 1.
Regression analysis
Variable assignment
First,
values are assigned to the possible situations (alternative answers) of 25
categorical variables (including demographic variables and psychosocial
variables) that may affect the total score of SWB, and the results are shown in
Table 2.
multiple stepwise linear regression analysis
on influencing factors of SWB score
Taking
the score of SWB as the dependent variable and 25 categorical variables, the
total score of TTC and SSRS as independent variables, the multiple stepwise
linear regression analysis is carried out within 95% confidence interval. From
Table 3, it can be seen that the score of SWB is positively correlated with
education, category of personnel arrangement, professional title, working
environment, career developmental prospect, annual income, selfstudy, health
status, total score of TTC and SSRS (β =. 219 ~. 780, all P < 0.05) .
Gender, head teacher, teaching subjects, marital status and posts are
negatively correlated with the total score of SWB (β = - 0.149~-. 413, all P < 0.05).
Discussion
The
score of SWB is (- 0.05±2.19), and the total score of TTC and SSRS are
(3.731±0.61) and (71 0 ±5.52), respectively. It is consistent with the results
of previous literature [15-18], suggesting that the subjective well-being of
this group is low, the competency of teachers is generally in the upper middle
level, and they get more satisfactory social support. Multiple stepwise linear
regression analysis shows that education, personnel arrangement category,
professional title, working environment, career development prospect, annual
income, self-study, health status, total score of TTC and SSRS are positively
correlated with the score of SWB, while gender, head teacher, teaching
subjects, marital status and posts were negatively correlated with the score of
SWB.
This
study finds that there is a significant correlation between gender and
subjective well-being of primary school teachers, which is consistent with the
results of Wang Wenting [19], Fu Hongmei [20] and Guo Jing [21], suggesting
that gender has an important influence on career, which may be due to the
different personality characteristics and career expectation of men and women.
Education and self-study are positively correlated with the subjective
well-being of primary school teachers. The higher the education level and
self-study enthusiasm, the stronger the subjective well-being, which is
consistent with the results of Wang Wenting [19]. To a certain extent, the
level of education reflects the individual’s intelligence level and working
foundation. Those with higher education background and efforts have mastered
more professional knowledge and more advanced education and teaching skills and
are more likely to be competent for teaching work. With the development of
economy and education, the requirement of primary school teachers’ education is
higher and higher. In recent years, primary school teachers are required to
have bachelor’s degree. Teachers with diploma of secondary normal school or
junior college can no longer meet the needs of educational development, which
urges the majority of primary school teachers to participate in various kinds
of training to improve their academic qualification and professional skills.
Therefore, the lower the education level, the greater the pressure of further education
and the lower their happiness.
This
study finds that the subjective well-being of teachers in charge of a class is
lower than that of other teachers, the subjective well-being of primary school
teachers who teach mathematics, Chinese, English and other quiz required
subjects is lower than that of teachers teaching other subjects, the subjective
well-being of teachers in administrative positions is lower than that of other
teachers, the subjective well-being of married teachers is lower than that of unmarried
teachers. It is consistent with the results of previous research [18-21],
suggesting that social role and work pressure affect subjective well-being.
Compared with unmarried teachers, teachers who are not in charge of a class,
teachers in charge of non-quiz required subjects and teachers who are not
engaged in administrative work, married teachers, head teachers, teachers
teaching quiz required subjects and teachers who are engaged in administrative
work have more heavy tasks, greater work pressure, longer working hours and
more dispersion, they not only need to work in school, but also often in
leisure time. So, they have less rest and leisure, and are more prone to
physical and mental fatigue, thus reducing their sense of happiness. The
subjective well-being of the substitute teachers is lower than that of the
teachers in the personnel establishment. At present, there are still 3% primary
school teachers in China who are substitute teachers. Their situation can be
summarized as the following sentences: “they are teachers, but they often have
no teacher’s treatment, lack of training leads to insufficient development
assistance, unable to make ends meet and have no support for the elderly, and
the prospect of hard work is not clear”. This dilemma makes substitute teachers
face greater survival pressure in the accelerated development of society [22].
TTC total score and professional title are positively correlated with
subjective well-being of primary school teachers, consistent with the results
of previous research [2,18]. It is suggested that the professional quality not
only affects the work effect of teachers, but also affects the teachers’ life
feeling. TTC total score is the subjective evaluation of teachers’ work
ability, values and other professional qualities, while the professional title
is the recognition of the comprehensive quality of the individual (including
the professional and technical level) by the school and society. The lower the
total score of TTC, the more the teachers think they are not competent for
teaching; the lower the professional title, especially the professional title
not corresponding to the teaching age, The more seriously their comprehensive
quality (not only the professional and technical level) is not recognized by the
work unit and society, which is more prone to frustration, and the job burnout
is more easily caused by the feeling of “pay - get imbalance [23]”, thus
reducing the subjective well-being.
Health
status is a positive predictor of primary school teachers’ subjective
well-being, which is consistent with Guo Jing’s [3] and Rory’s [21] research
results, suggesting that physiological and mental function play important roles
in life experience. Poor health condition can easily cause discomfort and loss
of sense of the individual (including physiological and social functions).
Because of the high work pressure and less activity, primary school teachers
become the high incidence group of occupational diseases, which greatly hinders
their work efficiency and quality of life, and easily leads to depression,
anxiety and other negative emotions [8], thus reducing subjective well-being.
Social support level was positively correlated with SWB score, which was
consistent with the previous study [24,25]. Social support has a positive
predictive effect on the subjective well-being of different groups [26-27],
which is confirmed in this study. Social support is based on sufficient
interpersonal understanding and harmonious interpersonal relationship, which
not only provides material support and emotional comfort for the parties, but
also provides feasible coping methods to help them solve problems, successfully
overcome difficulties, reduce the level of physical and mental stress, and
maintain mental health and subjective well-being. The career development
prospect, working environment, annual income are positively correlated with the
subjective well-being of primary school teachers, consistent with the results
of zhangguyue and Ren zhengpan [19,28], suggesting that occupational value
plays an important role in promoting the subjective well-being. Generally
speaking, the higher the social value (being paid attention to by the society),
the better the prospect of the occupation, the more comfortable the working
environment, the higher the level of welfare and income, the stronger the
professional acquisition and subjective well-being [29].
Conclusion
There
are many influencing factors of primary school teachers’ subjective well-being,
which can be summarized into two categories: one is positive, mainly the living
resources and working condition, including material resources, such as income,
and spiritual resources, such as social support, education level, etc; the
other is negative, mainly the subjective life difficulties, such as staffing
constraints, unclear career prospect, poor health, etc.
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