Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab

http://dx.doi.org/10.31703/gesr.2023(VIII-I).12      10.31703/gesr.2023(VIII-I).12      Published : Mar 2023      Views: 1,040      Downloads: 19
Authored by : Iqra Yaqoob , Muhammad Aslam , Asma Rani

12 Pages : 128–141

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    Abstract

    The current study investigated effects of stress upon mental health mediated by copying style. A sample of n=176 (males=115; females=61) lecturers working at college level from southern districts of Punjab was taken and surveyed. Self-structured questionnaires consisted occupational stress, mental health, and copying style. Frequency and parentage were used assess the individuals' demographic characteristics; however, correlation, regression, mediation, and significance testing were also done. Results indicated that teacher stress has statistically significant relationship with coping strategies (r=.442**, p < 0.01). Likewise, the table indicated a statistically significant linear relationship between teachers’ stress and mental health (r=.721**, p < 0.01). Regression analysis indicated that occupational stress and coping strategy statistically predicted mental health of the colleges’ teachers (p < 0.05). Additionally, an increase in the coefficient value of the mediation analysis from (.265 to.712) showed that the mediating variable fully mediated the association between occupational stress and mental health.

    Key Words

    Occupational Stress, Mental Health, Physical Education Teachers, Punjab

    Introduction

    Justification

    The condition in any workplace leads to occupational stress. These conditions negatively affect ones’ physical and mental health. In addition to that, abilities and performance of the employees can be influenced by stressful working atmosphere. It has a major impact on their quality of life, health, job satisfaction, absenteeism, and employee turnover (Almatrooshi, Singh& Farouk, 2016). Teachers are thought to have a higher rate of general mental health issues like anxiety, depression, somatization disorders, and burnout than persons in other occupations

    (Van Droogenbroeck & Spruyt, 2015).

    According to the World Health Organization, mental health is a state of well-being in which a person can identify their own potential, manage common life challenges, work productively and fruitfully, and give back to their community (Kang et al., 2020). The WHO also believes that mental health issues are caused by a complex combination of psychological, biological, environmental, and social variables. Mental illness is the most frequent kind of sickness among employees and is a substantial worldwide health issue (Kang et al., 2020). Employees with poor mental health may perform poorly, resulting in job loss and financial suffering (Andreeva et al., 2017).

    According to research, the workplace environment has a significant impact on the occurrence of mental health issues among employees. Occupational stress and mental health have a substantial association (Barnay, 2016). Poor mental health can harm physical health, and mental health issues are more common in certain vocations due to the significant psychosocial nature of the work (Kang et al., 2020).

    Teachers employ a range of coping mechanisms because stress has such a detrimental effect on one's health. As a result, coping is defined as a collection of deliberate actions and thought processes used to handle a stressful situation or event in order to minimise the negative effects (Agbonluae, Omi-Ujuanbi&Akpede, 2017). Coping requires a thorough cognitive evaluation of a person's belief in his or her ability to handle a challenging situation. Active and passive or approach and avoidance stress coping strategies are other names for emotion-focused coping, which focuses on reducing negative emotional reactions, and problem-focused coping, which focuses on finding workable solutions to stressful situations.

    Objectives

    1. To examine the relationship between the independent variable (occupational stress) and mediator (coping style) with dependent variable (mental health) of colleges’ physical education teachers. (Correlation Analysis)

    2. To find out the predictability of independent variable (occupational stress) with dependent variable (mental health) and mediator (coping style) of colleges’ physical education teachers. (Correlation Analysis)

    3. To analyze the role of mediator (coping style) in the relationship between predictor (occupational stress) and criterion (mental health)of colleges’ physical education teachers. (Mediation analysis)

    Hypotheses

    H1 There is a positive and significant relationship between the independent variable (occupational stress) and mediator (coping style) with dependent variable (mental health) of colleges’ physical education teachers. (Correlation Analysis)

    H2The predictor (occupational stress) and mediator (coping style) have significant effects on dependent variable (mental health) of colleges’ physical education teachers.

    H3The relationship between occupational stress and mental health is mediated by coping style. (Mediation Analysis) 

    Materials and Method

    Research Philosophy

    Two important problems are addressed by research philosophy: 1) What is knowledge, and 2) how can knowledge be documented and passed on? The positivist philosophy considers knowledge that may be objectively verified by observation. The researcher proposed positivist philosophy in light of these thoughts on research philosophy.

    Research Approach

    The current study was focused on the perceived stance of Physical Education Teachers (PETs); hence, a cross-section survey approach was employed to recruit participants using questionnaires. For such sociological studies, a survey is indicated as an ideal tool.

    Population and Sample

    Physical education teachers at the college level in southern Districts of Punjab constituted the study's population. The information used in the formula originated from a pilot study that was carried out as part of the project planning stage to assess the questionnaire and gather some statistics for the formula to take into account when calculating sample size. The whole formula and the results of the computation are displayed in Table 3. The sample size was (n=176).

    Table 1

    > >

    =((SD*SD)/(((E*E)/(Z*Z))+((SD*SD)/N)))

    SD

    width="19%" nowrap="">

    Z

    width="19%" nowrap="">

    E

    width="19%" nowrap="">

    N

    width="21%" nowrap="">

    n

    0.43

    width="19%" nowrap="">

    1.96

    width="19%" nowrap="">

    0.043

    width="19%" nowrap="">

    324

    width="21%" nowrap="">

    175.76

    Tools for Data Collection

    Different standardized scales/questionnaires were used to collect primary data. Self-reported questionnaires evaluating occupational stress, mental health, and coping style were given to participants to record their responses accordingly. The researcher utilized 'Factor-analysis' to obtain evidence regarding the validity of data in accordance with common survey data validity criteria.

    Validity Statistics

    Table 2

    > > > >

    KMO and Bartlett's Test

    Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

    width="18%">

    .784

    Bartlett's Test of Sphericity

    width="39%" valign="top">

    Approx. Chi-Square

    width="18%">

    1433.324

    Df

    width="18%">

    105

    Sig.

    width="18%">

    .000

    Table 3

    > > > > > > > > > > > > > > > > >

    Communalities

     

    width="8%">

    Initial

    width="11%">

    Extraction

    To maintain discipline and order in the classroom.

    width="8%">

    1.000

    width="11%">

    .814

    To work with unmotivated students.

    width="8%">

    1.000

    width="11%">

    .920

    To work with agitated or unruly children.

    width="8%">

    1.000

    width="11%">

    .608

    Carrying out school duties during the time dedicated to my family (e.g. to read and mark offhand papers at home).

    width="8%">

    1.000

    width="11%">

    .572

    To teach in noisy condition (e.g. too much noise outside the street).

    width="8%">

    1.000

    width="11%">

    .918

    To teach in unsuitable thermal conditions (e.g. too cold).

    width="8%">

    1.000

    width="11%">

    .790

    To supervise students during breaks.

    width="8%">

    1.000

    width="11%">

    .387

    To work with papers or documents related to administrative activities.

    width="8%">

    1.000

    width="11%">

    .861

    To make trips with students.

    width="8%">

    1.000

    width="11%">

    .553

    To prepare students for competitions outside of school hours.

    width="8%">

    1.000

    width="11%">

    .714

    To prepare students for completion taking place during school hours.

    width="8%">

    1.000

    width="11%">

    .537

    To have to reckon with my colleagues.

    width="8%">

    1.000

    width="11%">

    .611

    To have inspection of evaluating situation in the classroom.

    width="8%">

    1.000

    width="11%">

    .661

    To help a child with poor academic results to progress.

    width="8%">

    1.000

    width="11%">

    .878

    To permanently pursue progress in students acquisitions.

    width="8%">

    1.000

    width="11%">

    .497

    Extraction Method: Principal Component Analysis.

    Table 4

    > > > > > > > > > > > > > > > > >

    Total Variance Explained

    Component

    width="232" colspan="3" valign="bottom">

    Initial Eigenvalues

    width="234" colspan="3" valign="bottom">

    Extraction Sums of Squared Loadings

    Total

    width="91">

    % of Variance

    width="89">

    Cumulative %

    width="54">

    Total

    width="93">

    % of Variance

    width="87">

    Cumulative %

    1

    width="52">

    4.048

    width="91">

    26.985

    width="89">

    26.985

    width="54">

    4.048

    width="93">

    26.985

    width="87">

    26.985

    2

    width="52">

    2.603

    width="91">

    17.352

    width="89">

    44.337

    width="54">

    2.603

    width="93">

    17.352

    width="87">

    44.337

    3

    width="52">

    1.343

    width="91">

    8.951

    width="89">

    53.288

    width="54">

    1.343

    width="93">

    8.951

    width="87">

    53.288

    4

    width="52">

    1.263

    width="91">

    8.421

    width="89">

    61.709

    width="54">

    1.263

    width="93">

    8.421

    width="87">

    61.709

    5

    width="52">

    1.066

    width="91">

    7.109

    width="89">

    68.819

    width="54">

    1.066

    width="93">

    7.109

    width="87">

    68.819

    6

    width="52">

    .958

    width="91">

    6.390

    width="89">

    75.209

    width="54">

     

    width="93">

     

    width="87">

     

    7

    width="52">

    .851

    width="91">

    5.670

    width="89">

    80.879

    width="54">

     

    width="93">

     

    width="87">

     

    8

    width="52">

    .790

    width="91">

    5.264

    width="89">

    86.143

    width="54">

     

    width="93">

     

    width="87">

     

    9

    width="52">

    .630

    width="91">

    4.197

    width="89">

    90.340

    width="54">

     

    width="93">

     

    width="87">

     

    10

    width="52">

    .500

    width="91">

    3.331

    width="89">

    93.671

    width="54">

     

    width="93">

     

    width="87">

     

    11

    width="52">

    .417

    width="91">

    2.782

    width="89">

    96.453

    width="54">

     

    width="93">

     

    width="87">

     

    12

    width="52">

    .219

    width="91">

    1.461

    width="89">

    97.914

    width="54">

     

    width="93">

     

    width="87">

     

    13

    width="52">

    .186

    width="91">

    1.240

    width="89">

    99.154

    width="54">

     

    width="93">

     

    width="87">

     

    14

    width="52">

    .092

    width="91">

    .616

    width="89">

    99.770

    width="54">

     

    width="93">

     

    width="87">

     

    15

    width="52">

    .034

    width="91">

    .230

    width="89">

    100.000

    width="54">

     

    width="93">

     

    width="87">

     

     To determine validity of the research instrument, KMO and Bartlett tests were used and the statistical values are given in the above tables. The first table indicated KMO value for occupational stress as .784, which means that occupational stress has sufficient validity. The results of Bartlett test reported significance value of .000. Likewise, the values for each item fell in the acceptable range, which means that suitable link existed between each items. Therefore, it can be said that the occupational stress has sufficient confirmation about validity. 

    Figure 1

    Figure 1

    Table 5

    > > > >

    KMO and Bartlett's Test

    Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

    width="31%">

    .738

    Bartlett's Test of Sphericity

    width="35%" valign="top">

    Approx. Chi-Square

    width="31%">

    1187.500

    Df

    width="31%">

    136

    Sig.

    width="31%">

    .000

    Table 6

    > > > > > > > > > > > > > > > > > >

    Communalities

     

    width="21%">

    Initial

    width="24%">

    Extraction

    Makes an appropriate noises when he should not

    width="21%">

    1.000

    width="24%">

    .846

    Demands must be met immediately

    width="21%">

    1.000

    width="24%">

    .866

    Overly sensitive to criticism

    width="21%">

    1.000

    width="24%">

    .543

    Distractibility or attention span a problem

    width="21%">

    1.000

    width="24%">

    .713

    Mode changes quickly and drastically

    width="21%">

    1.000

    width="24%">

    .608

    Submissive attitude towards authority

    width="21%">

    1.000

    width="24%">

    .667

    Restless, always “up and on the go”

    width="21%">

    1.000

    width="24%">

    .753

    Excitable, impulsive

    width="21%">

    1.000

    width="24%">

    .503

    Excessive demand for teachers attention

    width="21%">

    1.000

    width="24%">

    .639

    No sense of fair play

    width="21%">

    1.000

    width="24%">

    .640

    Appears to lack leadership

    width="21%">

    1.000

    width="24%">

    .654

    Childish and immature

    width="21%">

    1.000

    width="24%">

    .687

    Denys mistakes or blames others

    width="21%">

    1.000

    width="24%">

    .810

    Does not get along well with other children

    width="21%">

    1.000

    width="24%">

    .775

    Uncooperative with classmates

    width="21%">

    1.000

    width="24%">

    .733

    Easily frustrated in all areas

    width="21%">

    1.000

    width="24%">

    .892

    Uncooperative with teachers

    width="21%">

    1.000

    width="24%">

    .731

    Table 7

    > > > > > > > > > > > > > > > > > > >

    Total Variance Explained

    Component

    width="229" colspan="3">

    Initial Eigenvalues

    width="235" colspan="3">

    Extraction Sums of Squared Loadings

    Total

    width="90">

    % of Variance

    width="89">

    Cumulative %

    width="55">

    Total

    width="90">

    % of Variance

    width="90">

    Cumulative %

    1

    width="51">

    3.695

    width="90">

    21.737

    width="89">

    21.737

    width="55">

    3.695

    width="90">

    21.737

    width="90">

    21.737

    2

    width="51">

    2.398

    width="90">

    14.105

    width="89">

    35.842

    width="55">

    2.398

    width="90">

    14.105

    width="90">

    35.842

    3

    width="51">

    1.800

    width="90">

    10.588

    width="89">

    46.430

    width="55">

    1.800

    width="90">

    10.588

    width="90">

    46.430

    4

    width="51">

    1.637

    width="90">

    9.630

    width="89">

    56.060

    width="55">

    1.637

    width="90">

    9.630

    width="90">

    56.060

    5

    width="51">

    1.368

    width="90">

    8.050

    width="89">

    64.110

    width="55">

    1.368

    width="90">

    8.050

    width="90">

    64.110

    6

    width="51">

    1.162

    width="90">

    6.835

    width="89">

    70.945

    width="55">

    1.162

    width="90">

    6.835

    width="90">

    70.945

    7

    width="51">

    .904

    width="90">

    5.316

    width="89">

    76.261

    width="55">

     

    width="90">

     

    width="90">

     

    8

    width="51">

    .758

    width="90">

    4.460

    width="89">

    80.722

    width="55">

     

    width="90">

     

    width="90">

     

    9

    width="51">

    .670

    width="90">

    3.939

    width="89">

    84.660

    width="55">

     

    width="90">

     

    width="90">

     

    10

    width="51">

    .599

    width="90">

    3.526

    width="89">

    88.187

    width="55">

     

    width="90">

     

    width="90">

     

    11

    width="51">

    .415

    width="90">

    2.444

    width="89">

    90.630

    width="55">

     

    width="90">

     

    width="90">

     

    12

    width="51">

    .386

    width="90">

    2.272

    width="89">

    92.903

    width="55">

     

    width="90">

     

    width="90">

     

    13

    width="51">

    .339

    width="90">

    1.993

    width="89">

    94.896

    width="55">

     

    width="90">

     

    width="90">

     

    14

    width="51">

    .306

    width="90">

    1.800

    width="89">

    96.696

    width="55">

     

    width="90">

     

    width="90">

     

    15

    width="51">

    .231

    width="90">

    1.361

    width="89">

    98.057

    width="55">

     

    width="90">

     

    width="90">

     

    16

    width="51">

    .222

    width="90">

    1.304

    width="89">

    99.361

    width="55">

     

    width="90">

     

    width="90">

     

    17

    width="51">

    .109

    width="90">

    .639

    width="89">

    100.000

    width="55">

     

    width="90">

     

    width="90">

     

     The first table of the factor analysis indicated KMO value for mental health as .738, which means that mental health has sufficient validity. The results of Bartlett test reported significance value of .000. Likewise, the values for each item fell in the acceptable range, which means that suitable link existed between each items. Therefore, it can be said that the mental health has sufficient confirmation about validity. 

    Figure 2

    Figure 2

    Table 8

    > > > >

    KMO and Bartlett's Test

    Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

    width="18%">

    .715

    Bartlett's Test of Sphericity

    width="39%">

    Approx. Chi-Square

    width="18%">

    1172.500

    Df

    width="18%">

    136

    Sig.

    width="18%">

    .001

    Table 9

    > > > > > > > > > > > > > > > > > > > > >

    Total Variance Explained

    Component

    width="227" colspan="3" valign="bottom">

    Initial Eigenvalues

    width="239" colspan="3" valign="bottom">

    Extraction Sums of Squared Loadings

    Total

    width="90" valign="bottom">

    % of Variance

    width="90" valign="bottom">

    Cumulative %

    width="54" valign="bottom">

    Total

    width="90" valign="bottom">

    % of Variance

    width="95" valign="bottom">

    Cumulative %

    1

    width="47">

    3.877

    width="90">

    20.405

    width="90">

    20.405

    width="54">

    3.877

    width="90">

    20.405

    width="95">

    20.405

    2

    width="47">

    3.075

    width="90">

    16.184

    width="90">

    36.589

    width="54">

    3.075

    width="90">

    16.184

    width="95">

    36.589

    3

    width="47">

    2.437

    width="90">

    12.826

    width="90">

    49.415

    width="54">

    2.437

    width="90">

    12.826

    width="95">

    49.415

    4

    width="47">

    2.089

    width="90">

    10.995

    width="90">

    60.409

    width="54">

    2.089

    width="90">

    10.995

    width="95">

    60.409

    5

    width="47">

    1.630

    width="90">

    8.579

    width="90">

    68.989

    width="54">

    1.630

    width="90">

    8.579

    width="95">

    68.989

    6

    width="47">

    1.244

    width="90">

    6.547

    width="90">

    75.536

    width="54">

    1.244

    width="90">

    6.547

    width="95">

    75.536

    7

    width="47">

    .920

    width="90">

    4.840

    width="90">

    80.376

    width="54">

     

    width="90">

     

    width="95">

     

    8

    width="47">

    .679

    width="90">

    3.572

    width="90">

    83.948

    width="54">

     

    width="90">

     

    width="95">

     

    9

    width="47">

    .609

    width="90">

    3.204

    width="90">

    87.152

    width="54">

     

    width="90">

     

    width="95">

     

    10

    width="47">

    .495

    width="90">

    2.605

    width="90">

    89.756

    width="54">

     

    width="90">

     

    width="95">

     

    11

    width="47">

    .479

    width="90">

    2.520

    width="90">

    92.276

    width="54">

     

    width="90">

     

    width="95">

     

    12

    width="47">

    .374

    width="90">

    1.968

    width="90">

    94.244

    width="54">

     

    width="90">

     

    width="95">

     

    13

    width="47">

    .281

    width="90">

    1.477

    width="90">

    95.721

    width="54">

     

    width="90">

     

    width="95">

     

    14

    width="47">

    .241

    width="90">

    1.267

    width="90">

    96.988

    width="54">

     

    width="90">

     

    width="95">

     

    15

    width="47">

    .222

    width="90">

    1.168

    width="90">

    98.156

    width="54">

     

    width="90">

     

    width="95">

     

    16

    width="47">

    .146

    width="90">

    .770

    width="90">

    98.926

    width="54">

     

    width="90">

     

    width="95">

     

    17

    width="47">

    .109

    width="90">

    .575

    width="90">

    99.501

    width="54">

     

    width="90">

     

    width="95">

     

    18

    width="47">

    .091

    width="90">

    .480

    width="90">

    99.981

    width="54">

     

    width="90">

     

    width="95">

     

    19

    width="47">

    .095

    width="90">

    .190

    width="90">

    100.000

    width="54">

     

    width="90">

     

    width="95">

     

    Table 10

    > > > > > > > > > > > > > > > > > > > >

    Communalities

     

    width="10%">

    Initial

    width="12%">

    Extraction

    I have been trying to work or other activities to take my mind off things

    width="10%">

    1.000

    width="12%">

    .696

    I have been concentrating my efforts on doing something about the situation, I am in

    width="10%">

    1.000

    width="12%">

    .856

    I have been using alcohol or other drugs to make myself feel better.

    width="10%">

    1.000

    width="12%">

    .528

    I have been getting emotional support from others.

    width="10%">

    1.000

    width="12%">

    .753

    I have been taking action to try to make the situation better.

    width="10%">

    1.000

    width="12%">

    .772

    I have been refusing to believe that it has happened.

    width="10%">

    1.000

    width="12%">

    .934

    I have been getting help and advice from other people.

    width="10%">

    1.000

    width="12%">

    .873

    I have been trying to see it in a different light, to make it seem more positive.

    width="10%">

    1.000

    width="12%">

    .787

    I have been trying to come up with a strategy about what to do.

    width="10%">

    1.000

    width="12%">

    .455

    I have been giving up the attempt to cop

    width="10%">

    1.000

    width="12%">

    .633

    I have been looking for something good in what is happening

    width="10%">

    1.000

    width="12%">

    .798

    I have been doing something to think about it less, such as going to movies, watching TV, reading, daydreaming, sleeping, or shopping.

    width="10%">

    1.000

    width="12%">

    .934

    I have been accepting the reality of the fact that it has happened.

    width="10%">

    1.000

    width="12%">

    .867

    I have been expressing my negative feelings.

    width="10%">

    1.000

    width="12%">

    .616

    I have been trying to find comfort in my religion or spiritual beliefs.

    width="10%">

    1.000

    width="12%">

    .608

    I have been trying to get advice or help from other people about what

    width="10%">

    1.000

    width="12%">

    .794

    I have been expressing my negative feelings.

    width="10%">

    1.000

    width="12%">

    .699

    I have been using alcohol or other drugs to make myself feel better.

    width="10%">

    1.000

    width="12%">

    .910

    I have been getting emotional support from others.

    width="10%">

    1.000

    width="12%">

    .839

     The first table of the factor analysis indicated KMO value for coping strategy as .715, which means that coping strategy has sufficient validity. The results of Bartlett test reported significance value of .001. Likewise, the values for each item fell in the acceptable range, which means that suitable link existed between each items. Therefore, it can be said that the coping strategy has sufficient confirmation about validity. 

    Figure 3

    Figure 3

    Testing of Hypotheses

    Correlational Analysis    

    H1 There is a positive and significant relationship between the independent variable (occupational stress) and mediator (coping style) with dependent variable (mental health) of colleges’ physical education teachers.

    Table 11

    > > > > > > > > > >

    Correlations

     

    width="20%">

    Coping Strategies

    width="16%">

    Mental Health

    width="17%">

    Teacher Stress

    Coping Strategies

    width="23%" valign="top">

    Pearson Correlation

    width="20%">

    1

    width="16%">

    .351**

    width="17%">

    .442**

    Sig. (2-tailed)

    width="20%">

     

    width="16%">

    .000

    width="17%">

    .000

    N

    width="20%">

    176

    width="16%">

    176

    width="17%">

    176

    Mental Health

    width="23%" valign="top">

    Pearson Correlation

    width="20%">

    .351**

    width="16%">

    1

    width="17%">

    .721**

    Sig. (2-tailed)

    width="20%">

    .000

    width="16%">

     

    width="17%">

    .000

    N

    width="20%">

    176

    width="16%">

    176

    width="17%">

    176

    Teacher Stress

    width="23%" valign="top">

    Pearson Correlation

    width="20%">

    .442**

    width="16%">

    .721**

    width="17%">

    1

    Sig. (2-tailed)

    width="20%">

    .000

    width="16%">

    .000

    width="17%">

     

    N

    width="20%">

    176

    width="16%">

    176

    width="17%">

    176

     In statistical analysis, correlation coefficient gives a numerical summary of the two important outputs of direction and strength between the variables. Generally, two main correlation coefficients i.e., Pearson Product-moment Correlation and Spearman rho are used to determine the strength and direction between the variables. 
    The sign of the relation indicates direction whether it is positive or negative? A positive correlation indicates that one variable increases, the other also increases. While, a negative correlation indicates that one variable increases, the other decreases. Another important point is the strength of the relationship that is given by the numeric value. The value of ‘1’ indicates a perfect relationship while, a value of ‘0’ indicates no relationship between the variables.
    Two important boxes are helpful for determining strength and direction. The Sig, value tells us direction and ‘r’ value tells us strength of the relationship.

    Decision

    Based on the results, we can state the following:

    i.      Teacher stress has a statistically significant relationship with coping strategies ( r=.442**, p < 0.01)

    ii.     The direction between teacher stress and coping strategies is positive. It means that these variables tend to increase together i.e., higher teacher stress is associated with higher coping strategies.

    iii.    The strength of the relationship between teachers’ stress and coping strategy is moderate (.442** <[r] < .5). 

    iv.    Likewise, the table indicated a statistically significant linear relationship between teachers’ stress and mental health ( r=.721**, p < 0.01)

    v.     The direction between teachers’ stress and mental health is positive.

    vi.    The strength of the relationship between teachers’ stress and mental health is strong (.7< | r | < .5).

    Regression Analysis

    H2The predictor (occupational stress) and mediator (coping style) have significant effects on dependent variable (mental health) of colleges’ physical education teachers.

    Table 12

    > >

    Model Summary

    Model

    width="13%">

    R

    width="16%">

    R Square

    width="24%">

    Adjusted R Square

    width="31%">

    Std. Error of the Estimate

    1

    width="13%">

    .748a

    width="16%">

    .560

    width="24%">

    .555

    width="31%">

    .18068

     In regression analysis, three tables including model summary, ANOVA and coefficients are important. The first table ‘Model Summary’ defines the correlation and variance. For determining correlation, the value of ‘R’ is obtained. While, ‘R Square’ determines the variance occurred in mental health. The value of ‘r square’ described that .560% variance is occurred in mental health due to occupational stress and coping strategy. 

    Table 13

    > > > >

     ANOVAa

     Model

    width="17%">

    Sum of Squares

    width="13%">

    df

    width="20%">

    Mean Square

    width="12%">

    F

    width="12%">

    Sig.

    1

    width="13%" valign="top">

     Regression

    width="17%">

    7.188

    width="13%">

    2

    width="20%">

    3.594

    width="12%">

    110.092

    width="12%">

    .000b

     Residual

    width="17%">

    5.648

    width="13%">

    173

    width="20%">

    .033

    width="12%">

     

    width="12%">

     

     Total

    width="17%">

    12.836

    width="13%">

    175

    width="20%">

     

    width="12%">

     

    width="12%">

     

     The second table of ‘ANOVA’ defines an important value of ‘sig’ associate with ‘F’. The sig. value in the above table .000 stated that occupational stress and coping strategy statistically predicted mental health of the colleges’ teachers. Therefore, H2 has proved as true. 

    Table 14

    > > > > >

     Coefficientsa

     Model

    width="28%" colspan="2">

    Unstandardized Coefficients

    width="15%">

    Standardized Coefficients

    width="10%" rowspan="2">

    T

    width="10%" rowspan="2">

    Sig.

    B

    width="14%">

    Std. Error

    width="15%">

    Beta

    1

    width="26%" valign="top">

    (Constant)

    width="14%">

    .631

    width="14%">

    .140

    width="15%">

     

    width="10%">

    4.497

    width="10%">

    .000

    Coping Strategies

    width="14%">

    .161

    width="14%">

    .040

    width="15%">

    .216

    width="10%">

    4.003

    width="10%">

    .000

    Teacher Stress

    width="14%">

    .637

    width="14%">

    .053

    width="15%">

    .645

    width="10%">

    11.976

    width="10%">

    .000

      Coefficientsa
     Model Unstandardized Coefficients Standardized Coefficients T Sig.
    B Std. Error Beta
    1 (Constant) .631 .140 4.497 .000
    Coping Strategies .161 .040 .216 4.003 .000
    Teacher Stress .637 .053 .645 11.976 .000

    Mediation Analysis

    Results of Mediation Analysis.

    Table 15

    > >

    Model Summary

    Model

    width="14%">

    R

    width="16%">

    R Square

    width="24%">

    Adjusted R Square

    width="30%">

    Std. Error of the Estimate

    1

    width="14%">

    .351a

    width="16%">

    .123

    width="24%">

    .118

    width="30%">

    .25747


    Table 16

    > > > >

     ANOVAa

     Model

    width="18%">

    Sum of Squares

    width="12%">

    Df

    width="17%">

    Mean Square

    width="12%">

    F

    width="12%">

    Sig.

     1

    width="17%" valign="top">

    Regression

    width="18%">

    1.619

    width="12%">

    1

    width="17%">

    1.619

    width="12%">

    24.418

    width="12%">

    .000b

    Residual

    width="18%">

    11.534

    width="12%">

    174

    width="17%">

    .066

    width="12%">

     

    width="12%">

     

    Total

    width="18%">

    13.153

    width="12%">

    175

    width="17%">

     

    width="12%">

     

    width="12%">

     

    Table 17

    > > > >

     Coefficientsa

     Model

    width="28%" colspan="2">

    Unstandardized Coefficients

    width="15%">

    Standardized Coefficients

    width="10%" rowspan="2">

    t

    width="10%" rowspan="2">

    Sig.

    B

    width="14%">

    Std. Error

    width="15%">

    Beta

    1

    width="26%" valign="top">

     (Constant)

    width="14%">

    1.980

    width="14%">

    .132

    width="15%">

     

    width="10%">

    14.971

    width="10%">

    .000

     Coping Strategies

    width="14%">

    .265

    width="14%">

    .054

    width="15%">

    .351

    width="10%">

    4.941

    width="10%">

    .000

    Table 18

    > >

    Model Summary

    Model

    width="15%">

    R

    width="17%">

    R Square

    width="24%">

    Adjusted R Square

    width="28%">

    Std. Error of the Estimate

    1

    width="15%">

    .748a

    width="17%">

    .560

    width="24%">

    .555

    width="28%">

    .18068

    Table 19

    > > > >

     ANOVAa

     Model

    width="18%">

    Sum of Squares

    width="12%">

    Df

    width="17%">

    Mean Square

    width="12%">

    F

    width="12%">

    Sig.

    1

    width="16%" valign="top">

     Regression

    width="18%">

    7.188

    width="12%">

    2

    width="17%">

    3.594

    width="12%">

    110.092

    width="12%">

    .000b

     Residual

    width="18%">

    5.648

    width="12%">

    173

    width="17%">

    .033

    width="12%">

     

    width="12%">

     

     Total

    width="18%">

    12.836

    width="12%">

    175

    width="17%">

     

    width="12%">

     

    width="12%">

     

    Table 20

    > > > > >

     Coefficientsa

     Model

    width="28%" colspan="2">

    Unstandardized Coefficients

    width="15%">

    Standardized Coefficients

    width="10%" rowspan="2">

    t

    width="10%" rowspan="2">

    Sig.

    B

    width="14%">

    Std. Error

    width="15%">

    Beta

    1

    width="26%" valign="top">

     (Constant)

    width="14%">

    .631

    width="14%">

    .140

    width="15%">

     

    width="10%">

    4.497

    width="10%">

    .000

     Coping Strategies

    width="14%">

    .161

    width="14%">

    .040

    width="15%">

    .216

    width="10%">

    4.003

    width="10%">

    .000

     Teacher Stress

    width="14%">

    .637

    width="14%">

    .053

    width="15%">

    .645

    width="10%">

    11.976

    width="10%">

    .000

    Table 21

    > >

    Model Summary

    Model

    width="72">

    R

    width="96">

    R Square

    width="132">

    Adjusted R Square

    width="160">

    Std. Error of the Estimate

    1

    width="72">

    .721a

    width="96">

    .519

    width="132">

    .516

    width="160">

    .18832

    Table 22

    > > > >

    ANOVAa

    Model

    width="114" valign="bottom">

    Sum of Squares

    width="72" valign="bottom">

    Df

    width="114" valign="bottom">

    Mean Square

    width="80" valign="bottom">

    F

    width="80" valign="bottom">

    Sig.

    Regression

    width="114" valign="top">

    6.665

    width="72" valign="top">

    1

    width="114" valign="top">

    6.665

    width="80" valign="top">

    187.930

    width="80" valign="top">

    .000b

    Residual

    width="114" valign="top">

    6.171

    width="72" valign="top">

    174

    width="114" valign="top">

    .035

    width="80" valign="top">

     

    width="80" valign="top">

     

     

    width="114" valign="top">

    Total

    width="72" valign="top">

    12.836

    width="114" valign="top">

    175

    width="80" valign="top">

     

    width="80" valign="top">

     

    Table 23

    > > > >

    Coefficientsa

    Model

    width="164" colspan="2">

    Unstandardized Coefficients

    width="147">

    Standardized Coefficients

    width="114" colspan="2" rowspan="2">

    t align="center">Sig.

    B

    width="94">

    Std. Error

    width="147">

    Beta

    1

    width="74" valign="top">

    (Constant)

    width="70">

    .827

    width="94">

    .137

    width="147">

     

    width="60">

    6.035

    width="55">

    .000

    Teacher Stress

    width="70">

    .712

    width="94">

    .052

    width="147">

    .721

    width="60">

    13.709

    width="55">

    .000

     The mediating model of the current study consisted of independent variable (occupational stress), mediating variable (coping strategy) and dependent variable (mental health). According to the first table of the mediation analysis, .123% variation in the coping strategy is due to occupational stress with reported significant impact (.265 & .000). 
    The second and third sstep of the mediation model presented information regarding the indirect relationship in which the occupational stress and coping strategy performed their role as independent variables in determining mental health. The analyzed data indicated that .560% variance in mental health was occurred due to occupational stress and coping strategy with reported significant impact of (637; 161 & .000). 
    The fourth step of mediation is of great important which tells us the direct relationship between research variables. This step indicated the direct relationship between occupational stress and mental health. According to the analyzed data, .519 % change was reported in outcome variable of mental health due to predicting variable of occupational stress with significant impact of (.712 & .000).
    All the steps of the mediation process provided valuable information to reach at deciding the mediation. As shown in the various tables, all the paths showed significant results, hence, decision shall be made on the basis of coefficient values. It is evident that the coefficients value of (.265) in the direct relationship have been increased to (.712) after adding coping strategy in connecting occupational stress and mental health. The increase in coefficient value from (.265 to .712) revealed that mediating variable completely mediated the relationship between occupational stress and mental health. Therefore, the H3 is also accepted.

    Discussion

    The current study was conducted to examine the effects of occupational stress upon mental health of colleges’ teachers. Additionally, the mediation role of coping style was taken into consideration. Moreover, group mean differences were analyzed based on some important demographic variables.

    Research in the relevant area has been found that teaching community reported an enormous occupational stress and poor mental health in comparison with other professions (Ahola et al., 2014; Bauer et al., 2014; Havermans et al., 2016). In the current study, occupational stress and mental health of the college teachers in Southern Punjab, Pakistan were examined. The analyzed data indicated a clear correlation among occupational stress, mental and coping style. Likewise, regression analysis has confirmed that occupational stress and coping strategy statistically predicted mental health of the colleges’ teachers. One of the most important factors that might predict academic staff stress at college level in Pakistan is increasingly higher expectation at work. This issue may be made worse by the enhanced use of elevated test results at the state and district levels. Such testing restricts the amount of control that teachers have over the content and pace of their own work, and it also raises the possibility that colleges and teachers will be shut down as a result (Lee et al., 2011).

    The mediation analysis reported that that

    Mediating variable completely mediated the relationship between occupational stress and mental health. Past research revealed that coping strategy used when ones’ member of any organization feels difficult to manage occupational stress (Ryu, Yang, & Choi, 2020). It seems that teaching community as college level to apply coping strategy, because they might have some occupational stress to manage their classes and other disciplinary actions at their respective colleges. These findings are in consistent with other research among other community (Acquadro-Maran, Zedda, &Varetto, 2018). A study reported that A teacher's work experience is significantly impacted by the degree to which they are able to exert control over the working conditions they are subjected to. Therefore, the amount of support they get from coworkers, and the strategies they use to adjust to obstacles that arise in the workplace are considered important coping strategies (Blix et al., 2006).

    Conclusion

    The study reported an initial understanding of the association among occupational stress and mental health among lecturers working at college level. Results further identified a significant mediating role of copying style in the relationship between occupational stress and mental health. The ability to think how to solve problems, assist other colleagues in addition trying to find comfort in religion or spiritual beliefs were reported mediating factors between occupational stress and mental health.

    The current study has several limitations that need to be highlighted. The first limitation of the current study is that the researcher used cross-sectional data from southern region of Punjab, Pakistan. Longitudinal studies are strongly recommended; however, longitudinal studies need larger financial budget and time too that were not available for the present research work. The second limitation deals with college level professional as occupational stress may vary among professions, therefore; the findings of the current study may not be generalized to other professions such as schools and universities. 

    Recommendations

    To enhance mental health of the teaching community in general and lecturer in a particular, those interventional programs may be established within institutional organizations both at regional and national levels that help them assisting to reduce distress and to promote copying skills to deal with their critical incidents on their work. Hence, future research may deal with how to develop such interventional program and also to evaluate the effectiveness these programs to promote and develop mental health and work performance of teaching community.

    One-day workshop and seminars on managing work-related stress must be conducted on a regular basis to train them how to deal with occupational stress. Physical recreational activities must be encouraged in the workplace as these activities proved very helpful in improving mental health and reduce stress.

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Cite this article

    APA : Yaqoob, I., Aslam, M., & Rani, A. (2023). Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab. Global Educational Studies Review, VIII(I), 128–141. https://doi.org/10.31703/gesr.2023(VIII-I).12
    CHICAGO : Yaqoob, Iqra, Muhammad Aslam, and Asma Rani. 2023. "Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab." Global Educational Studies Review, VIII (I): 128–141 doi: 10.31703/gesr.2023(VIII-I).12
    HARVARD : YAQOOB, I., ASLAM, M. & RANI, A. 2023. Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab. Global Educational Studies Review, VIII, 128–141.
    MHRA : Yaqoob, Iqra, Muhammad Aslam, and Asma Rani. 2023. "Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab." Global Educational Studies Review, VIII: 128–141
    MLA : Yaqoob, Iqra, Muhammad Aslam, and Asma Rani. "Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab." Global Educational Studies Review, VIII.I (2023): 128–141 Print.
    OXFORD : Yaqoob, Iqra, Aslam, Muhammad, and Rani, Asma (2023), "Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab", Global Educational Studies Review, VIII (I), 128–141
    TURABIAN : Yaqoob, Iqra, Muhammad Aslam, and Asma Rani. "Effects of Occupational Stress on Mental Health in Colleges' Physical Education Teachers: Mediating Role of Coping Style: A Case Study of Southern Districts of Punjab." Global Educational Studies Review VIII, no. I (2023): 128–141. https://doi.org/10.31703/gesr.2023(VIII-I).12