<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1103104</article-id><article-id pub-id-type="publisher-id">OALibJ-71616</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of Risk Factors for Psychosocial Hazards among Workers in a Tertiary Institution in Nigeria: The Need for a Safer Work Environment
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>A.</surname><given-names>K. Nkporbu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>E.</surname><given-names>O. Asuquo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>K.</surname><given-names>E. Douglas</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Neuropsychiatry, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria</addr-line></aff><aff id="aff2"><addr-line>Department of Preventive and Social Medicine, University of Port Harcourt, Port Harcourt, Nigeria</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>nakpigi2008@yahoo.com(AKN)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>18</day><month>10</month><year>2016</year></pub-date><volume>03</volume><issue>10</issue><fpage>1</fpage><lpage>16</lpage><history><date date-type="received"><day>September</day>	<month>27,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>October</month>	<year>25,</year>	</date><date date-type="accepted"><day>October</day>	<month>28,</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Work place psychosocial hazards are assuming a central place in occupational health and safety, especially in developing countries like Nigeria. Psychosocial hazards refer to the mental stresses of work including all sources of fatigue and stress caused by work, work structure, design and regulation that affect output and employee’s wellbeing and health. Several factors have been identified to increase the risks of ps
  ychosocial hazards. A number of risk factors may predispose workers to certain work place hazards. Aim: The study was to assess the possible risk factors for psychosocial hazards among Workers at the University of Port Harcourt. Methodology: Ethical approval for the study was obtained and 600 consenting staffers of the University of Port Harcourt were recruited by systematic random sampling and a risk Matrix which is a validated instrument (interviewer administered) as well as a pretested structured closed ended self administered questionnaire was distributed among respondents. Results were presented using descriptive and analytical methods. Results: From the study, risk factors for psychosocial hazards included work load with 548 (98.2%), followed by home-work interface with 458 (82.0%), lack of possibilities to advance forward 392 (70.1%), lack of career development 327 (58.7%), work content with 329 (60%) while constant state of alertness (CSA) was the least with 98 (17.6%). Conclusion: Workers at the University of Port Harcourt experienced or are faced with a number of risk factors for psychosocial hazards; most of them are organizational and employer’s factors. Therefore there is a need to institute appropriate measures to address preventable risk factors and improve the work environment thereby increasing workers effectiveness, productivity and improving their health.
 
</p></abstract><kwd-group><kwd>Risk Factors</kwd><kwd> Psychosocial Hazards</kwd><kwd> Workers</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>There exist constant competitions among organizations to maximize profit and minimize costs [<xref ref-type="bibr" rid="scirp.71616-ref1">1</xref>] . In the course of these, there is increased demand on the employee for higher productivity and greater accountability in the public sector, including public educational institutions, and greater profitability in the private sector [<xref ref-type="bibr" rid="scirp.71616-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.71616-ref7">7</xref>] . Nowadays, workplace environments in both sectors have been increasingly characterized by heightened pressure on employees to perform at consistently higher levels, sometimes with longer hours, reduced staff numbers, insecure employment patterns and employer empowerment, with unmatched reward system [<xref ref-type="bibr" rid="scirp.71616-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.71616-ref7">7</xref>] .</p><p>All these factors have been identified to invariably contribute to creating a stressful and an unfriendly work environment and hence increase the risks of psychological problems [<xref ref-type="bibr" rid="scirp.71616-ref8">8</xref>] - [<xref ref-type="bibr" rid="scirp.71616-ref12">12</xref>] . Stress is now recognized in health and safety legislation as a workplace hazard, namely a “psychosocial hazard” [<xref ref-type="bibr" rid="scirp.71616-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref14">14</xref>] . Psychosocial hazards are inherent in the total stress caused by work, work structure, design and regulation, and therefore are an integral part of an overall assessment of risks at work places.</p><p>Every kind of work is associated with its unique certain occupational risks [<xref ref-type="bibr" rid="scirp.71616-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref17">17</xref>] . The changing economic context has been associated with a shift in the types of risks encountered in the work environment, with new types of work place hazards emerging in addition to the traditional ones [<xref ref-type="bibr" rid="scirp.71616-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref19">19</xref>] . Emerging workplace risks include psychosocial risks, as well as exposure to a number of new and emerging chemicals and processes of which the consequences for human health are still unknown [<xref ref-type="bibr" rid="scirp.71616-ref20">20</xref>] .</p><p>There is an evident delay in controlling these modern and emerging risks particularly in developing countries, since many still struggle extensively with the more well-known traditional occupational risks [<xref ref-type="bibr" rid="scirp.71616-ref21">21</xref>] . These are increasingly controlled in industrialized countries, a fact which explains the switch of attention to the modern hazards of working life [<xref ref-type="bibr" rid="scirp.71616-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref24">24</xref>] . Physical risks and hazards not only interact with one another in producing adverse effects, but may also do so with psychosocial risks and hazards as well as physical and psychosocial conditions [<xref ref-type="bibr" rid="scirp.71616-ref25">25</xref>] .</p><p>Broadly speaking, the term “psychosocial” refers to the interrelationships between individuals’ thoughts and behaviours, and their social environment. In most literatures outside the Occupational Health and Safety (OHS) field, this term is often narrowly but diffusely viewed and refers to social environments such as family of origin, socioeconomic status and level of education [<xref ref-type="bibr" rid="scirp.71616-ref26">26</xref>] . Whilst it is important to take cognizance of individual and non-work psychosocial factors and environment, in the OHS context, psychosocial hazards have come to refer only to hazards created by work, work design, work structure and regulation and the entire work environment [<xref ref-type="bibr" rid="scirp.71616-ref26">26</xref>] .</p><p>Psychosocial hazards consistently show enormous impact on workers’ health, public health and business health [<xref ref-type="bibr" rid="scirp.71616-ref27">27</xref>] - [<xref ref-type="bibr" rid="scirp.71616-ref32">32</xref>] . Lost hours and absenteeism from work due to occupational injuries, ill health and work-related mental health problems are of growing concern globally. The health impact from psychosocial risks and work-related stress affects workers and their families, as well as businesses, since workers’ illness is related to outcomes that can have financial impact on businesses [<xref ref-type="bibr" rid="scirp.71616-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref30">30</xref>] . These variables include sickness absences, the hidden cost of presenteeism when a sick worker is present at work and not fully productive, and also unemployment. Effects are also visible at national and even global economic levels. Indeed, the cost of the work-related health loss and associated productivity loss represents around 4% - 5% of the GDP of most countries [<xref ref-type="bibr" rid="scirp.71616-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref33">33</xref>] .</p><p>Several factors have been identified to increase the risks of psychosocial hazards [<xref ref-type="bibr" rid="scirp.71616-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref35">35</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref37">37</xref>] . Some of them include changes in the working population, job content, workload, workplace and forced pace of work, work schedule, shift work, long work hours and overtime, extent of control, environment and equipment, organizational culture and function, interpersonal relationships at work (Relationships with Superiors, Subordinates and Colleagues), violence, threat of violence and bullying at work, role in organization, career development and home-work interface [<xref ref-type="bibr" rid="scirp.71616-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref40">40</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref41">41</xref>] .</p><p>Recent studies indicate that contemporary and emerging psychosocial risks are changing and go beyond the traditional workplace-centered approach [<xref ref-type="bibr" rid="scirp.71616-ref34">34</xref>] . These include external factors such as globalization [<xref ref-type="bibr" rid="scirp.71616-ref42">42</xref>] , increased vulnerability of workers in the context of globalization [<xref ref-type="bibr" rid="scirp.71616-ref42">42</xref>] , precarious contracts, in the context of the unstable labor markets, new forms of employment contracts, and the feeling of job insecurity. Workers in developing countries often face combined risks of traditional and emerging risks, despite the fact that there is now widespread knowledge about these and effective preventive measures [<xref ref-type="bibr" rid="scirp.71616-ref43">43</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref45">45</xref>] . It seems, therefore, unfortunate that, in general, occupational health remains neglected in developing countries because of competing social, economic and political challenges [<xref ref-type="bibr" rid="scirp.71616-ref46">46</xref>] . The cycle of poverty clearly depicts the vicious cycle between poverty, ill-health and hazardous jobs in the absence of any kind of worker’s protection.</p><p>The most studied core contributing factors to psychosocial risks and work-related stress have been found to be embedded in the work content and work context. At organizational and workplace levels, work content includes the nature of tasks, the workload and the pace of work, the number of hours worked, as well as the level of participation and control over the workload and work processes [<xref ref-type="bibr" rid="scirp.71616-ref47">47</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref48">48</xref>] . Organizational and workplace level, work/job content have been found to be very important psychosocial risk factor. These include monotonous, under stimulating, meaningless tasks; lack of variety and unpleasant tasks. Workload and work pace has to do with having too much or too little to do and working under time pressures. Working hours involve strict and inflexible working schedules; long and unsocial hours; unpredictable working hours; and badly designed shift systems [<xref ref-type="bibr" rid="scirp.71616-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref50">50</xref>] .</p><p>On the other hand, work context refers to career development opportunities, status, the level of payment, the role in the organization and its level of clarity, interpersonal relationships (conflict, psychological harassment), the nature of the organizational culture, as well as the work-home interface in terms of support, conflicts and spill-over effects. Work context also covers career development, status and pay: job insecurity; lack of promotion prospects; under-promotion or over-promotion; work of ‘low social value’; piece rate payments schemes; unclear or unfair performance evaluation systems; being over-skilled or under-skilled for the job [<xref ref-type="bibr" rid="scirp.71616-ref47">47</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref51">51</xref>] .</p><p>Poor participation and control has equally been implicated as psychosocial stress [<xref ref-type="bibr" rid="scirp.71616-ref47">47</xref>] . Lack of participation in decision making and lack of control (for example, over work methods, pace, hours, environment) [<xref ref-type="bibr" rid="scirp.71616-ref35">35</xref>] . Role Designation in the organization is also important in the issue of work place psychosocial risk factors. Unclear role; conflicting roles within the same job; responsibility for people; continuously dealing with other people and their problems have all been found to be important psychosocial risk factors. Interpersonal relationships in terms of inadequate, inconsiderate or unsupportive supervision; poor relationships with co-workers; bullying, harassment and violence (including sexual harassment); isolated or solitary work; no agreed procedures for dealing with problems or complaints [<xref ref-type="bibr" rid="scirp.71616-ref52">52</xref>] . Psychosocial risks have previously been described as an integral element of the stress process, in terms of the interaction among job content, work organization and management, environmental and organizational conditions on the one hand, and the employees’ competencies and needs on the other; an interaction that can prove to be hazardous to employees’ health through their perceptions and experience [<xref ref-type="bibr" rid="scirp.71616-ref53">53</xref>] .</p><p>Specifically, psychosocial risks in the workplace have been demonstrated to have a possible detrimental impact on workers’ physical, mental and social health. In addition, a growing body of evidence indicates both a direct and indirect role of the psychosocial working environment on organisational health indices (such as absenteeism, sickness absence, productivity, job satisfaction and intention to quit) [<xref ref-type="bibr" rid="scirp.71616-ref54">54</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref56">56</xref>] .</p><p>It has been noted that 80% of the global workforce resides in the developing world, and is subjected mostly to unhealthy and unsafe working conditions. Published studies point to the fact that traditional risks are intrinsically related to psychosocial risks, since both have the potential for detrimentally affecting social and psychological health as well as physical health [<xref ref-type="bibr" rid="scirp.71616-ref57">57</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref58">58</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref59">59</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref60">60</xref>] . Therefore, psychosocial risks should be considered as risks to both, psychological and physical health [<xref ref-type="bibr" rid="scirp.71616-ref60">60</xref>] .</p><p>There is currently lack of awareness and this makes most occurrences of work place bullying unnoticed or unattended to [<xref ref-type="bibr" rid="scirp.71616-ref61">61</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref62">62</xref>] . The findings and knowledge from this study will help to create the awareness about psychosocial hazards among workers of the University, and equally afford them the ability to avoid them where and when necessary. The aim of this study therefore was to assess the prevalence and pattern of work place bullying among Workers at the University of Port Harcourt.</p></sec><sec id="s2"><title>2. Methodology</title><p>Study Design</p><p>This is a descriptive cross-sectional study.</p><p>Study Area and Population</p><p>This study was conducted among 600 workers of the University of Port Harcourt (UNIPORT). Participants were drawn from both academic and non-academic staff of the institution, across Colleges, Faculties, Schools and Departments. The University of Port Harcourt, formally known as University College Port Harcourt, is a federal tertiary institution of learning. It was established in 1975 by the Federal Government of Nigeria headed by General Olusegun Obasanjo and was given full University status in 1977. The Motto of the University is Self-reliance and Discipline. The University of Port Harcourt is located along the East-West Road, Choba Town in Obio-Akpor Local Government Area, adjacent the University of Port Harcourt Teaching Hospital, all in Rivers State of Niger Delta Region of Nigeria.</p><p>The University changed from school system to faculties in 1982. From the time the University was established as University College of Port Harcourt, it has grown from the status of six schools to four Colleges, nine Faculties and four Schools. The Colleges include health sciences, natural and applied sciences, engineering and continuous education while the faculties include those of humanities, pharmaceutical sciences, management sciences, social sciences, law, agriculture, basic medical sciences, clinical sciences and education.</p><p>The University currently has staff strength of about four thousand six hundred and fifty five workers catering for a student’s capacity of between 60,000 to 70,000. The University of Port Harcourt, being a federal public educational institution, its work force has been made to as much as possible reflect federal character. The staff categories are along academic and non-academic staff. The academic staff included graduate assistants, assistant lecturers, lecturers 1 and 2, senior lecturers, readers and professors, academic contract staff and those on sabbatical leave. The non-academic Departments/Units include those of Central Administration, Bursary, Library, Works, Security, Transport, Cleaners and Dispatchers. All academic staff are Senior staff while the non-academic staff are made up of both Junior and Senior staff. Majority of the study population were enlightened individuals with at least basic educational qualifications. Only bonafide staff of the University of Port Harcourt, Staff who have given their informed consent, Adults aged between 18 years and 70 years and those who had worked not less than 2 years in the University were included while casual staff and less than two years in employment were excluded.</p><p>Sample Size and Sampling Methods</p><p>The sample size was calculated using the formula for comparison of proportions by Araoye [<xref ref-type="bibr" rid="scirp.71616-ref63">63</xref>] . They consisted of 600 randomly selected staff of all cadres in the work places, made up of both junior and senior staff. A stratified method of sampling was used first and later followed by a systematic random sampling to identify each subject from the various Departments of University of Port Harcourt. This spanned over 12 weeks from 2<sup>nd</sup> of August, 2015 to 8<sup>th</sup> of November, 2015.</p><p>Study Instruments</p><p>A well-structured open ended socio-demographic and study questionnaire designed by the authors was used. The structured questionnaire, which was self-administered, written in simple English and contained sections on socio-demography and was reliable. A Risk Matrix which is a validated risk assessment instrument (interviewer administered), was used to assess possible identified work place risk factors for psychosocial hazards. The criteria for choosing a likely risk factor using the Risk Matrix is that the worker must have experienced the risk factor at least once while working in the current employment. The socio-demographic questionnaire took on the average 4 minutes while the Risk Matrix took an average of 7 minutes for a respondent. A Walk through Survey which is an on the spot, impromptu, unannounced, uninformed, immediate assessment of any work place was also used. A pilot study was conducted three weeks preceding the commencement of the actual study using sampled population in the Rivers State University of Science and Technology, Port Harcourt, who satisfied the inclusion criteria, and these were not included in the main study.</p><p>Data Management, Presentation and Analysis</p><p>Analysis of results involved the use of the twentieth edition of the statistical package for social sciences (SPSS-20, 2014) software. Descriptive statistics was calculated for all variables. For continuous variables, means and standard deviations (SD) and analysis of variance were computed. For categorical variables, descriptive statistics included the numbers and proportions in each category. Frequency distributions and cross tabulations were generated and chi-square test of significance was calculated. The conventional 5% of level of significance was set. Confidence interval was set at 95% and P-value of less than 0.05 was considered statistically significant.</p><p>Ethical Considerations</p><p>Approval for the study was obtained from the Ethical Committee of the University of Port Harcourt. Consent was equally obtained from all participants. Health education and awareness was carried out for the participants after completing the questionnaires. Meetings were held with staff, management and both staff and management in that other, after the Walk Through Survey to intimate them of the outcome.</p><p>Study Limitation</p><p>The study was limited by the inability to use a walk through survey guide during the walk through survey and the risk matrix in the assessment of risk factors may have undermined the quality of this research work.</p></sec><sec id="s3"><title>3. Results</title><p>Socio-Demographic Characteristic of Respondents</p><p>From the study, workers within the age group of 36 - 45 (68.3%) and 26 - 45 (68%) constituted the group that had experienced most of the psychosocial risk factors as staff of the institution, while the oldest age group, 66 - 75 had the least with 31.6% (p = 0.041%). Females (80.7%) were more at risk than the males (60.4%). Those who were divorced constituted the highest percentage of those who have experienced psychosocial risk factors with 80% followed by those who were separated from their spouse with 71.4% and the single with 69%.</p><p>Those with Secondary education had the highest number of those who had experienced work place psychosocial hazards and this was statistically significant (p = 0.001). Those who have being employed for 11 - 20 years (67.9%), non-academic (70.1%) and junior staff (83.3%) and those living in rural areas (80.4%) constituted greater numbers of those who had experienced psychosocial risk factors. However, none was statistically significant (see <xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Risk Factors for Psychosocial Hazards among Workers at the University of Port Harcourt</p><p>From the study, the highest risk factors for psychosocial Hazards was work load with 548 (98.2%), followed by home-work interface with 458 (82.0%), lack of possibilities to advance forward 392 (70.1%), lack of career development 327 (58.7%), work content with 329 (60%) while constant state of alertness (CSA) was the least with 98 (17.6%) (see <xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>From the study, the age group that had experienced or exposed to the most of risk factors for psychosocial hazards was age of 36 - 45 years, followed by that of 26 - 35 years. This are also the age groups that were most represented in the study. This is expected because this age ranges from the most active age of labour with possibly the highest experience and as such, they may be under active pressure to perform and deliver. It suffices to mention that most employers make this age range a criterion for employment [<xref ref-type="bibr" rid="scirp.71616-ref21">21</xref>] . This further lends credence to the earlier statement that organizations and indeed employers are in constant competition aimed at maximizing profit and minimising cost [<xref ref-type="bibr" rid="scirp.71616-ref1">1</xref>] . As such only vibrant and active young individuals who most likely will fall within the above age ranges stand the best chance to be employed. There was a statistically significant relationship between age and experience of work place risk factors for psychosocial hazards (p = 0.041).</p><p>From the study, males were predominant. This is supported by previous study [<xref ref-type="bibr" rid="scirp.71616-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref52">52</xref>] . This may equally simply reflect the recruitment pattern of the University. However, more females tended to have been faced with work place psychosocial risks than men reflecting reports in available literature [<xref ref-type="bibr" rid="scirp.71616-ref49">49</xref>] - [<xref ref-type="bibr" rid="scirp.71616-ref54">54</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref58">58</xref>] . This relationship however was not statistically significant (p = 0.972). Despite the fact that majority of the respondents were married, the single appeared to have recorded the highest exposure to and or experience of work place psychosocial risks. This may reflect the fact that singlehood may offer some subtle higher vulnerability to exposure to the different forms of psychosocial risks [<xref ref-type="bibr" rid="scirp.71616-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref53">53</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref58">58</xref>] . However, the relationship between marital status and experience of psychosocial hazards was not statistically significant (p = 0.740).</p><p>Majority of the respondents had tertiary education reflecting the fact that this is a tertiary institution of learning and as such most of the recruitment will be based on</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic characteristics of respondents</title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >% exposed to risk</th><th align="center" valign="middle" >% not exposed to risk</th><th align="center" valign="middle" >Statistical Analysis (ANOVA)</th></tr></thead><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="7"  >df = 5 p = 0.041</td></tr><tr><td align="center" valign="middle" >18 - 25 yrs</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >26 (52%)</td><td align="center" valign="middle" >24 (48%)</td></tr><tr><td align="center" valign="middle" >26 - 35</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >69 (68%)</td><td align="center" valign="middle" >32 (32%)</td></tr><tr><td align="center" valign="middle" >36 - 45</td><td align="center" valign="middle" >199</td><td align="center" valign="middle" >136 (68.3%)</td><td align="center" valign="middle" >63 (31.7%)</td></tr><tr><td align="center" valign="middle" >46 - 55</td><td align="center" valign="middle" >148</td><td align="center" valign="middle" >98 (66.2%)</td><td align="center" valign="middle" >50 (33.9%)</td></tr><tr><td align="center" valign="middle" >56 - 65</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >16 (39%)</td><td align="center" valign="middle" >25 (61%)</td></tr><tr><td align="center" valign="middle" >66 - 75</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >6 (31.6%)</td><td align="center" valign="middle" >13 (68.4%)</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="3"  >df = 1 p = 0.972</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >299</td><td align="center" valign="middle" >187 (62.5%)</td><td align="center" valign="middle" >112 (37.5%)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >259</td><td align="center" valign="middle" >209 (80.7%)</td><td align="center" valign="middle" >50 (19.3%)</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="6"  >df = 4 p = 0.740</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >452</td><td align="center" valign="middle" >273 (60.4%)</td><td align="center" valign="middle" >179 (39.7%)</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >49 (69%)</td><td align="center" valign="middle" >22 (31%)</td></tr><tr><td align="center" valign="middle" >Separated</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5 (71.4%)</td><td align="center" valign="middle" >2 (28.6%)</td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >12 (80%)</td><td align="center" valign="middle" >3 (20%)</td></tr><tr><td align="center" valign="middle" >Widowed</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >8 (61.5%)</td><td align="center" valign="middle" >5 (38.5%)</td></tr><tr><td align="center" valign="middle" >Level of Education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  rowspan="4"  >df = 2 p = 0.001</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >5 (41.7%)</td><td align="center" valign="middle" >7 (58.3%)</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >34 (75.6%)</td><td align="center" valign="middle" >11 (24.4%)</td></tr><tr><td align="center" valign="middle" >Tertiary</td><td align="center" valign="middle" >501</td><td align="center" valign="middle" >308 (61.5%)</td><td align="center" valign="middle" >193 (38.5%)</td></tr><tr><td align="center" valign="middle" >Religion</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Christianity</td><td align="center" valign="middle" >523</td><td align="center" valign="middle" >318 (60.8%)</td><td align="center" valign="middle" >205 (39.2%)</td><td align="center" valign="middle"  rowspan="3"  >df = 2 p = 0.07</td></tr><tr><td align="center" valign="middle" >Islam</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >19 (54.3%)</td><td align="center" valign="middle" >16 (45.7%)</td></tr><tr><td align="center" valign="middle" >Traditional</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Tribe</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Ikwerre</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >77 (65.8%)</td><td align="center" valign="middle" >40 (34.2%)</td><td align="center" valign="middle"  rowspan="5"  >df = 4 p = 0.038</td></tr><tr><td align="center" valign="middle" >Ogoni</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >41 (64.1%)</td><td align="center" valign="middle" >23 (35.9%)</td></tr><tr><td align="center" valign="middle" >Ijaw/Kalabari</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >33 (55.9%)</td><td align="center" valign="middle" >26 (44.1%)</td></tr><tr><td align="center" valign="middle" >Etche/Ogba</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >15 (44.1%)</td><td align="center" valign="middle" >19 (55.9%)</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >284</td><td align="center" valign="middle" >181 (63.8%)</td><td align="center" valign="middle" >103 (36.3%)</td></tr><tr><td align="center" valign="middle" >Living place</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" >245</td><td align="center" valign="middle" >136 (55.5%)</td><td align="center" valign="middle" >109 (44.5%)</td><td align="center" valign="middle"  rowspan="3"  >df = 2 p = 0.236</td></tr><tr><td align="center" valign="middle" >Semi Urban</td><td align="center" valign="middle" >211</td><td align="center" valign="middle" >125 (59.2%)</td><td align="center" valign="middle" >86 (40.8%)</td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >82 (80.4%)</td><td align="center" valign="middle" >20 (19.6%)</td></tr><tr><td align="center" valign="middle" >Employment Rank</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Academic</td><td align="center" valign="middle" >481</td><td align="center" valign="middle" >283 (58.9%)</td><td align="center" valign="middle" >198 (41.2%)</td><td align="center" valign="middle"  rowspan="2"  >df = 1 p = 0.968</td></tr><tr><td align="center" valign="middle" >Non Academic</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >54 (70.1%)</td><td align="center" valign="middle" >23 (29.9%)</td></tr><tr><td align="center" valign="middle" >Category of Staff</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Junior Staff</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >35 (83.3%)</td><td align="center" valign="middle" >7 (16.7%)</td><td align="center" valign="middle"  rowspan="2"  >df = 1 p = 0.985</td></tr><tr><td align="center" valign="middle" >Senior Staff</td><td align="center" valign="middle" >516</td><td align="center" valign="middle" >312 (60.5%)</td><td align="center" valign="middle" >204 (39.6%)</td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >Duration of Employment</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >2 - 10</td><td align="center" valign="middle" >301</td><td align="center" valign="middle" >194 (64.5%)</td><td align="center" valign="middle" >107 (35.5%)</td><td align="center" valign="middle"  rowspan="6"  >df = 5 p = 0.944</td></tr><tr><td align="center" valign="middle" >11 - 20</td><td align="center" valign="middle" >190</td><td align="center" valign="middle" >129 (67.9%)</td><td align="center" valign="middle" >61 (32.1%)</td></tr><tr><td align="center" valign="middle" >21 - 30</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >21 (39.6%)</td><td align="center" valign="middle" >32 (60.4%)</td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >3 (21.4%)</td><td align="center" valign="middle" >11 (78.6%)</td></tr><tr><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;50</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Showing likely risk factors of psychosocial hazards among workers at the University of Port Harcourt</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >S/N</th><th align="center" valign="middle" >Items</th><th align="center" valign="middle" >Percentage (%)</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >Changes in the working population (CWP)</td><td align="center" valign="middle" >315 (56.5)</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >Job content (JC)</td><td align="center" valign="middle" >329 (60.0)</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >Work load (WL)</td><td align="center" valign="middle" >548 (98.2)</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >Work pace (WP)</td><td align="center" valign="middle" >284 (50.9)</td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >Forced pace of work (FPW)</td><td align="center" valign="middle" >232 (41.6)</td></tr><tr><td align="center" valign="middle" >6</td><td align="center" valign="middle" >Work schedule : shift work, long work hours and overtime (WS)</td><td align="center" valign="middle" >296 (53.0)</td></tr><tr><td align="center" valign="middle" >7</td><td align="center" valign="middle" >Control (c)</td><td align="center" valign="middle" >216 (38.7)</td></tr><tr><td align="center" valign="middle" >8</td><td align="center" valign="middle" >Environment and equipment (EAE)</td><td align="center" valign="middle" >306 (54.8)</td></tr><tr><td align="center" valign="middle" >9</td><td align="center" valign="middle" >Organizational culture and function (OCF)</td><td align="center" valign="middle" >275 (49.3)</td></tr><tr><td align="center" valign="middle" >10</td><td align="center" valign="middle" >Interpersonal relationships at work (IRW)</td><td align="center" valign="middle" >357 (64.0)</td></tr><tr><td align="center" valign="middle" >11</td><td align="center" valign="middle" >Violence, threat of violence and bullying at work (VTB)</td><td align="center" valign="middle" >281 (50.4)</td></tr><tr><td align="center" valign="middle" >12</td><td align="center" valign="middle" >Role in organization (RIO)</td><td align="center" valign="middle" >251 (45.0)</td></tr><tr><td align="center" valign="middle" >13</td><td align="center" valign="middle" >Lack of career development (CD)</td><td align="center" valign="middle" >327 (58.7)</td></tr><tr><td align="center" valign="middle" >14</td><td align="center" valign="middle" >Home-work interface (HWI)</td><td align="center" valign="middle" >458 (82.0)</td></tr><tr><td align="center" valign="middle" >15</td><td align="center" valign="middle" >Repetitive or monotonous work (RMW)</td><td align="center" valign="middle" >189 (33.9)</td></tr><tr><td align="center" valign="middle" >16</td><td align="center" valign="middle" >Working alone or night work (WANW)</td><td align="center" valign="middle" >121 (21.7)</td></tr><tr><td align="center" valign="middle" >17</td><td align="center" valign="middle" >Constant state of alertness (CSA)</td><td align="center" valign="middle" >98 (17.6)</td></tr><tr><td align="center" valign="middle" >18</td><td align="center" valign="middle" >Social work load (SWL)</td><td align="center" valign="middle" >203 (36.3)</td></tr><tr><td align="center" valign="middle" >19</td><td align="center" valign="middle" >Too busy (TB)</td><td align="center" valign="middle" >241 (43.1)</td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >Too high expectations or goals (THEG)</td><td align="center" valign="middle" >258 (46.2)</td></tr><tr><td align="center" valign="middle" >21</td><td align="center" valign="middle" >Lack of possibilities to advance (LPA)</td><td align="center" valign="middle" >392 (70.1)</td></tr><tr><td align="center" valign="middle" >22</td><td align="center" valign="middle" >Lack of job and workplace orientation (LJWO)</td><td align="center" valign="middle" >270(48.4)</td></tr><tr><td align="center" valign="middle" >23</td><td align="center" valign="middle" >Lack of job descriptions and responsibilities (LJDR)</td><td align="center" valign="middle" >267 (47.8)</td></tr><tr><td align="center" valign="middle" >24</td><td align="center" valign="middle" >Uncertainty of employment (UE)</td><td align="center" valign="middle" >113 (20.1)</td></tr><tr><td align="center" valign="middle" >25</td><td align="center" valign="middle" >Poor management or organization (PMO)</td><td align="center" valign="middle" >304 (54.5)</td></tr><tr><td align="center" valign="middle" >26</td><td align="center" valign="middle" >Poor working atmosphere (PWA)</td><td align="center" valign="middle" >219 (39.2)</td></tr><tr><td align="center" valign="middle" >27</td><td align="center" valign="middle" >Lack of interaction (LI)</td><td align="center" valign="middle" >167 (29.9)</td></tr><tr><td align="center" valign="middle" >28</td><td align="center" valign="middle" >Lack of social support (LSS)</td><td align="center" valign="middle" >182 (32.6)</td></tr><tr><td align="center" valign="middle" >29</td><td align="center" valign="middle" >Lack of possibilities to influence decision making (LPIDM)</td><td align="center" valign="middle" >269 (48.2)</td></tr></tbody></table></table-wrap><p>possession of a tertiary level degree. This may also be related to why majority of the respondents were academic staff. The study found that those with lower levels of education (lower academic qualification refers to primary and secondary education) experience more psychosocial risk compared to those who possess higher academic qualifications. This may be a reflection of the fact those with higher level of education will naturally be placed at higher position and as such would play the role of bosses and have tendency to give order, command and possibly exert rulership which may sometimes be unfriendly over their subordinates. This finding is in line with existing literature that socioeconomic inequalities in work places may constitute psychosocial risk factors and tend to breed work place hazards [<xref ref-type="bibr" rid="scirp.71616-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref53">53</xref>] . The relationship between level of education and exposure to work place psychosocial risks was found to be statistically significant (p = 0.001). This finding is consistent with previous studies which have noted that being faced with workplace psychosocial hazards is more prevalent in lower socioeconomic occupations and disadvantaged occupational classes [<xref ref-type="bibr" rid="scirp.71616-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref61">61</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref62">62</xref>] , adding that indeed, the lower the socioeconomic position, the higher the risk of exposure to adverse and stressful working conditions [<xref ref-type="bibr" rid="scirp.71616-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref29">29</xref>] , and also more vulnerable to poorer health [<xref ref-type="bibr" rid="scirp.71616-ref27">27</xref>] .</p><p>A number of risk factors were assessed ranging from changes in the working population, job content, work load, career development, home-work interface, lack of social support to lack of interactions. From the study, work load was identified as the most prevalent risk factor, followed by home-work interface, interpersonal relationship and job content while working alone at night was the least.</p><p>This finding is in line with earlier documentation that the most studied core contributing factors to psychosocial risks and work-related stress have been found to be embedded in the work content/load and work context [<xref ref-type="bibr" rid="scirp.71616-ref15">15</xref>] - [<xref ref-type="bibr" rid="scirp.71616-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref60">60</xref>] . However, new and precarious forms of contracts in the context of the unstable labour market (employment conditions), increased vulnerability of workers in the context of globalization, new forms of employment contracts, and the feeling of job insecurity have been identified as important emerging psychosocial risks [<xref ref-type="bibr" rid="scirp.71616-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref20">20</xref>] . It has equally being found that where more of the contributing factors are present, increased levels of stress are likely to result due to synergism [<xref ref-type="bibr" rid="scirp.71616-ref20">20</xref>] .</p><p>The content, context and volume of work which a worker has to do and accomplish within specified time has been found to be an important determinant of psychosocial hazard. This description is in line with a documented definition of work-related stress as a pattern of reactions that occurs when workers are presented with work demands not matched to their knowledge, skills or abilities and which challenge their ability to cope [<xref ref-type="bibr" rid="scirp.71616-ref13">13</xref>] ; and when there is a perceived imbalance between demands and environmental or personal resources, reactions may include physiological responses (for example increased heart rate, blood pressure, hyperventilation, as well as secretion of “stress” hormones such as adrenaline and cortisol) [<xref ref-type="bibr" rid="scirp.71616-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref32">32</xref>] , emotional responses (for example feeling nervous or irritated) [<xref ref-type="bibr" rid="scirp.71616-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref27">27</xref>] , cognitive responses (for example, reduction or narrowing of attention and perception, forgetfulness), and behavioural reactions (for example aggressive, impulsive behaviour, making mistakes) [<xref ref-type="bibr" rid="scirp.71616-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref28">28</xref>] . These may affect the work ability indices of the worker such as attention, concentration, focus and diligence and will certainly make the worker vulnerable to poor performance which may ensure certain forms of psychosocial hazards from their bosses or employers. In this case, mismatch between work content and context and the worker becomes a serious work place psychosocial risk factor.</p><p>Another important set of psychosocial risk factors are the narrow space and opportunity to develop in the service as seen in lack of career development, lack of opportunity to grow on the job and advance. This may sometime translate into lack of or delayed promotion. Worse still, at other times, a worker’s promotion may be deliberately delayed or even stopped without any cogent reason or explanation. From the study, lack of opportunity for career development and job advancement were identified as important risk factors for psychosocial hazards by respondents. This is expected because a worker that is affected by any of the factors mentioned here will be wallowing in pain and will certainly lose all zeal to put in all his or her best due to lack of motivation [<xref ref-type="bibr" rid="scirp.71616-ref48">48</xref>] . As this happens, there will gradually be reduced productivity by the worker. This agrees with the proposition of Cox and Griffith that workers also have work-related stress when despite rendering perceived important work, there is all indication instead that their efforts are not adequately rewarded [<xref ref-type="bibr" rid="scirp.71616-ref11">11</xref>] . Appreciation and rewards even verbal are important motivating factors which fuel or increase performance.</p><p>The next risk factor that was found in this study was home-work interface. This risk factor mostly affects women and interestingly, work place psychosocial risks were more common among women than the men in this study. A number of studies have supported this finding [<xref ref-type="bibr" rid="scirp.71616-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref51">51</xref>] [<xref ref-type="bibr" rid="scirp.71616-ref58">58</xref>] . Women manage the home fronts and it has been said that they do thrice as much work as men. For these reasons, they may experience burnout easily than men.</p><p>From the Walk through Survey, it appears that the authorities of the University of Port Harcourt have made some efforts at development, particularly in infrastructure, even though there is no standard or ideal tertiary learning institution development scale at the author’s disposal with which a comparison can be made. However, there still remains more to be done in terms of improvement of the work environment and worker’s welfare. Importantly, these remain cardinal and key to worker’s performance, health and wellbeing, quality of life and overall work productivity. Perhaps, this gap may have accounted for the presence of the various psychosocial hazards still being experienced by workers of the University of Port Harcourt.</p></sec><sec id="s5"><title>5. Conclusion</title><p>All cadres of workers at the University of Port Harcourt are exposed to different forms of workplace psychosocial risks to various degrees; most of them are employers’ and organizational factors. Therefore there is a need for the University to institute appropriate occupational health and safety measures to address preventable risk factors and reduce the harmful occurrences of psychosocial hazards in the institution in order to improve the working environment, productivity and health of workers.</p></sec><sec id="s6"><title>Recommendations</title><p>Based on the findings from this study, they following are therefore recommended to the University management as appropriate measures and steps that could be taken to reduce the occurrence and burdens of psychosocial hazards in the University workplaces. They include the following:</p><p>1) The University should embark on periodic awareness-raising campaigns, and educational activities on prevailing occupational risk factors.</p><p>2) Regular Enlightenment of University workers (EUW) and special orientation programmes should be done for all newly employed staff.</p><p>3) Introduction of occupational health and safety programmes into the educational curriculum of the University. This will also provide avenues to acquire knowledge of occupational safety and health for both teaching and non-teaching staff, particularly those who may wish to take up one academic programme or the other within the University.</p><p>4) Immediate establishment of an Occupational risk and hazard management/Occu- pational rehabilitation centre.</p><p>5) The University should develop a welfare policy or scheme and set up a staff welfare management team to direct cater for the welfare of the workers.</p></sec><sec id="s7"><title>Cite this paper</title><p>Nkporbu, A.K., Asuquo, E.O. and Douglas, K.E. (2016) Assessment of Risk Factors for Psychosocial Hazards among Workers in a Tertiary Institution in Nigeria: The Need for a Safer Work Environment. Open Access Library Journal, 3: e3104. http://dx.doi.org/10.4236/oalib.1103104</p></sec></body><back><ref-list><title>References</title><ref id="scirp.71616-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">De Bruin, G.P. and Taylor, N. (2005) Development of the Sources of Work Stress Inventory. South African Journal of Psychology, 35, 748-765. http://dx.doi.org/10.1177/008124630503500408</mixed-citation></ref><ref id="scirp.71616-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Melamed, S., Yekutieli, D., Froom, P., Kristal-Boneh, E. and Ribak, J. (1999) Adverse Work and Environmental Conditions Predict Occupational Injuries—The Israeli Cardiovascular Occupational Risk Factors Determination in Israel (CORDIS) Study. 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