Occupational Health Perspectives in the Digital Age of Remote Work
Dr. Meena Arora
Associate Professor,
IT Department,
JSS Academy of Technical Education,
Noida, India
meenaarora@jssaten.ac.in
Dr. Nishi Sharma
Assistant Professor,
JSS University, Noida
https://orcid.org/0000-0002-8916-9691
Dr. Akeela.P
Assistant Professor,
Department of Psychology,
Christ University, Bangalore
Dr. Arti Sharma
Assistant Professor,
School of Legal Studies,
KR Mangalam University, Gurgaon, Haryana
Dr. Biru Rajak
Assistant Professor,
Department of Computer Science,
Asansol Girls' College, West Bengal, India
https://orcid.org/0000-0001-7360-062X
birurajak@gmail.com
Abstract:
Working remotely has become more widespread due to the advent of the digital era, which has altered the nature of employment. This study examines how the digital era affects occupational health, paying particular attention to remote work settings. Given the increasing blurring of traditional boundaries between work and personal life in the virtual realm, it is critical to comprehend the effects on remote workers' well-being. The research employs a comprehensive investigation, assessing the parameters of occupational health along with the psychological and physical health status of employees working in remote work environments. Demographic Variables are also examined to gain insights into the unique challenges remote workers face. Through an understanding of the complex issues posed by working remotely, companies can create focused interventions aimed at enhancing the well-being of their remote workers. Data was obtained from 309 individuals across various industries through the use of the questionnaire approach. The analysis of data revealed that the majority of respondents were suffering from bad status of psychological, physical and occupational health. The study also clarifies the possible advantages and disadvantages of working remotely, providing insightful direction for developing workplace policies and procedures in the rapidly changing digital environment. The study's conclusions add to the expanding corpus of information on occupational health in the digital era and offer useful guidance to healthcare providers, employers, and legislators.
Keywords: Occupational Health, Digital Age, Remote Workers, Work Environments.
Introduction and Background:
In recent years, the global workforce has seen a dramatic transformation in the way work is planned and executed due to the widespread impact of the digital era. One of the best examples of this paradigm shift is the rise of remote work, which has been made feasible by technology developments that have enabled the virtualization of the workplace. The growing adoption of digital communication tools and flexible work arrangements by organisations has raised important research and concern questions regarding the effects of these changes on occupational health.People may now complete their professional responsibilities from the comfort of their homes or other remote locations because of the unparalleled flexibility and accessibility brought about by the digital era. This change has unquestionably brought about opportunities for improved autonomy and work-life balance, but it has also brought about several difficulties that may hurt the workers' well-being. A thorough grasp of the intricate interactions between technology, work structure, and employee health is necessary, and this study aims to explore the many facets of occupational health in the context of remote work environments.
The understanding that remote work is a fundamental restructuring of the modern workplace rather than just a fad serves as the foundation for this study. Conventional occupational health paradigms may not sufficiently address the particular difficulties presented by remote work because they were created for in-person work environments. To create evidence-based strategies for promoting the health and well-being of remote workers, it is important to carefully examine issues like ergonomics, mental health, social isolation, and the integration of technology into daily work routines.
Examining the effects of the ongoing digital revolution on the health of people who aren't confined to traditional office spaces is crucial as the world's workforce navigates this shift. The purpose of this study is to add to the growing body of knowledge on occupational health by offering a sophisticated analysis of the effects of the digital era on remote work settings. With a combination of quantitative and qualitative methodologies, this study intends to give meaningful information that may direct public health campaigns, organizational policies, and the development of useful frameworks for workers negotiating the demands of remote work in the contemporary digital world.
Review of Literature:
The exploration of occupational health in the context of the digital age and remote work environments has garnered increasing attention from researchers, practitioners, and policymakers. This review aims to synthesize key findings from existing literature to provide a comprehensive understanding of the current state of knowledge and identify gaps that warrant further investigation.
A study by Straker, (2018) highlighted the impact of sedentary behavior on musculoskeletal health in remote workers. These scholarly investigations have scrutinised the physiological health consequences of telecommuting, underscoring the significance of ergonomics and workspace layout. Studies indicate that extended periods of inactivity, unsuitable workspace arrangements, and a deficiency of ergonomic awareness may be factors in the development of musculoskeletal disorders in remote workers. The literature by Smith & Davis, (2019) has begun to place a greater emphasis on mental health, with studies showing how working remotely may affect psychological well-being, stress, and burnout. Stress levels are increased by the lack of boundaries between work and personal life, loneliness, and the need to be reachable at all times via digital means.One of the main topics of the Allen, (2020) study has been the incorporation of technology into remote work. Studies highlight how technology is twofold: it can facilitate remote work and also be a source of stress. Because digital tools enable continuous connectivity, there are implications for work-life balance. Therefore, it is critical to investigate how technology influences occupational health outcomes.
The meta-analysis by Johnson, (2021) acknowledges the social dynamics of remote work and emphasizes the need to foster virtual connections and maintain team cohesion. Research emphasises the difficulties caused by social isolation and the necessity for companies to put policies in place that encourage cooperation, communication, and a feeling of community among members of remote teams. Organisational policies have been studied by Grant & Kinman, (2019) to reduce the difficulties that come with working remotely. It has been determined that supportive management practices, wellness initiatives, and flexible work schedules are essential elements in developing a productive remote work environment.
A longitudinal study by Chen, (2020) highlights the significance of digital literacy and skill development for remote workers as the nature of work becomes more digital. Efforts and training programmes that enable people to use digital tools effectively lead to higher job satisfaction and productivity.
Hinds & Cramton, (2021) research delves into the difficulties associated with social isolation in remote teams and suggests tactics to sustain team unity.Robertson, (2018) investigated the effects of virtual communication on social relationships and team dynamics in a qualitative study. Interviews, focus groups, and content analysis of communication logs were among the qualitative research techniques used. Among the main conclusions are insights into the effects of virtual communication good and bad on social relationships and team dynamics. The study offers a sophisticated perspective on how virtual communication affects productive teamwork.
Gajendran &Harrison’s (2022) review evaluated how well organisational policies supported remote workers and promoted occupational health. The methodology was probably a survey or case study in addition to an examination of the organization's current policies. The main objective of the findings is to assess how well organisational policies support remote workers and advance occupational health. It offers vital insights into how corporate policies affect the development of a favourable remote work environment. The study conducted by Allen, (2017) examined the function of supervisory assistance in reducing stress and improving employee welfare in telecommuting settings. The investigation employs surveys, interviews, or case studies to examine the correlation between employee well-being and managerial support. The study highlights how crucial leadership is to creating a productive remote work environment.
Wang & Haggerty, (2019) study looked at how crucial digital literacy courses are for helping remote workers keep up with technology advancements. This study's methodology includes surveys, interviews, or evaluations to determine the effectiveness of digital literacy initiatives. The main finding provides insights into how digital literacy initiatives support remote workers' ability to adapt to new technology. It draws attention to how important ongoing skill development is in the context of remote work.
A survey conducted by Jones, (2020) looked into the relationship between job satisfaction and the development of digital skills in the context of remote work. Surveys and long-term research were used to examine the relationship between the improvement of digital skills and job satisfaction. The Key Findings provide insight into how digital skills affect the job satisfaction of remote workers. It draws attention to the elements that affect job satisfaction when considering the advancement of digital skills for remote work.
Research on the effects of cutting-edge technologies, such as virtual reality, on remote collaboration and occupational health, was conducted by Davenport & Harris, (2021). To examine the possible impacts of emerging technologies, this study most likely combined a review of the literature, case studies, and expert opinions. It provides a futuristic viewpoint on how emerging technologies can be incorporated into remote work situations. Sánchez, (2023) conducted a prospective review that examined the potential obstacles and prospects for occupational health within the dynamic framework of digital work trends. To determine future trends and challenges, a combination of literature review, expert opinions, and scenario analysis is probably used. It provides organisations and policymakers with strategic insights to help them adjust to the evolving nature of work.
Iyner et al., (2017) conducted research that sheds light on the epidemiology of occupational disorders and highlights the need for early detection and prevention. Sparks et al., (2011) study advances our knowledge of the connection between diseases like asbestos-related malignancies and occupational exposures.Karvey et al., (2017) investigate how stress at work affects mental health and highlight the need for organisational support. Furthermore, research conducted in 2020 by Xang et al. and in 2016 by Adler et al., provides insight into workplace interventions for mental health issues. Smith, (2020) looked into how working remotely affected employees' physical and mental health. Research indicates that although working remotely can improve work-life balance, it may also increase stress and feelings of loneliness. The extensive review by Brown, (2019) investigates the connection between telecommuting and a range of health outcomes. The study sheds light on the complexities of remote work's impact on employee health by highlighting both the advantages and disadvantages of it.
A long-term study by Garcia, (2021) looks at the relationship between burnout and remote work over time. The findings of the research point to a complex relationship in which, depending on several variables, working remotely can either lessen or increase burnout. Johnson, (2018) conducted a meta-analysis that compiled the body of knowledge regarding the effects of flexible work arrangements, including remote work, on health. The findings imply that flexible work schedules improve mental health but may have conflicting effects on physical health. Chen, (2022) examined the connection between musculoskeletal conditions and remote work. The results highlight how crucial ergonomic factors are when working remotely to avoid or lessen physical health problems.
Research Gap:
Emerging trends like the use of virtual reality for remote collaboration, the influence of artificial intelligence on job roles, and the requirement for flexible occupational health policies are identified in the literature mentioned above. Scholars recommend more research be done on these patterns to foresee and solve issues down the road. In conclusion, there is a significant knowledge vacuum in the literature on occupational health in the digital age, even though remote work settings offer a solid basis for comprehending the complex consequences of these developments. Even though significant progress has been made, more research is still required to keep up with the changing nature of the workforce and to create focused interventions that support the health and well-being of remote workers.
Objectives
Hypotheses
Research Methodology
Analysis of Data
The first part of the questionnaire collected information about respondents’ demographics and job profiles and the data about same is presented in Table 1:
Table 1: Demographic & Professional Profile of Respondents
Gender |
N |
Percentage |
Area of Remote Work Environment |
N |
Percentage |
Male |
203 |
65.70 |
Urban |
251 |
81.23 |
Female |
106 |
34.30 |
Rural |
58 |
18.77 |
Total |
309 |
100 |
Total |
309 |
100 |
Age |
N |
Percentage |
Industry |
N |
Percentage |
21-30 Years |
98 |
31.72 |
Information Technology |
174 |
56.31 |
31-40 Years |
157 |
50.81 |
Banking and Insurance |
42 |
13.59 |
41-50 Years |
39 |
12.62 |
CA firms |
71 |
22.98 |
Above 50 Years |
15 |
4.85 |
Consultancy firms |
22 |
7.12 |
Total |
309 |
100 |
Total |
309 |
100 |
Marital Status |
N |
Percentage |
Work Experience |
N |
Percentage |
Single |
128 |
41.42 |
Up to 5 Years |
104 |
33.66 |
Married |
151 |
48.87 |
5 to 10 Years |
137 |
44.34 |
Divorced/Widow |
30 |
9.71 |
More than 10 Years |
68 |
22.01 |
Total |
309 |
100 |
Total |
309 |
100 |
The review highlighted that the combination of psychological and physical health is termed occupational health. So, the psychological and physical health of respondents is presented in the following subsections:
Table 3depicts the mean score of every psychological situation along with the standard deviation and coefficient of variation. It could be observed that all the mean scores range from 2.73 to 3.92 with the moderated values of coefficient of variations, which indicates the lack of homogeneity in the opinion of sample respondents. As per the analysis presented depression has become a part of employees’ life (mean=3.92), they are losing concentration day by day (mean=3.80) and they do not enjoy normal activities (mean=3.80). It was also observed that often employees are not able to get rid of strain (mean=3.66), they don’t find themselves capable of overcoming their problems (mean=3.54) and sometimes they feel they are of no use to anyone (mean=2.73)
Table 2: Frequency Distribution of Psychological Health of Employees
Psychological Health |
Never |
Seldom |
Sometimes |
Often |
Always |
|||||
Items |
N |
%age |
N |
%age |
N |
%age |
N |
%age |
N |
%age |
I am losing my work concentration day by day |
5 |
1.62 |
18 |
5.83 |
69 |
22.33 |
147 |
47.57 |
70 |
22.65 |
Depression has become a part of my life |
12 |
3.88 |
25 |
8.09 |
55 |
17.80 |
101 |
32.69 |
116 |
37.54 |
I am not able to get rid of the strain |
25 |
8.09 |
33 |
10.68 |
48 |
15.53 |
118 |
38.19 |
85 |
27.51 |
I feel that I am of no use for anyone |
48 |
15.53 |
69 |
22.33 |
128 |
41.42 |
46 |
14.89 |
18 |
5.83 |
I am not able to find solutions to my problems |
30 |
9.71 |
41 |
13.27 |
54 |
17.48 |
101 |
32.69 |
83 |
26.86 |
I am not able to enjoy my normal activities |
21 |
6.80 |
27 |
8.74 |
41 |
13.27 |
123 |
39.81 |
97 |
31.39 |
Average |
24 |
7.61 |
36 |
11.49 |
66 |
21.31 |
106 |
34.30 |
78 |
25.30 |
Table 3: Descriptive Statistics of Psychological Health of Employees
Psychological Health Items |
Mean |
S.D. |
C.V. |
Frequency |
I am losing my work concentration day by day |
3.84 |
0.80 |
0.21 |
Often |
Depression has become a part of my life |
3.92 |
1.22 |
0.31 |
Often |
I am not able to get rid of the strain |
3.66 |
1.47 |
0.40 |
Often |
I feel that I am of no use for anyone |
2.73 |
1.15 |
0.42 |
Sometimes |
I am not able to find solutions to my problems |
3.54 |
1.63 |
0.46 |
Often |
I am not able to enjoy my normal activities |
3.80 |
1.37 |
0.36 |
Often |
After summing up the scores of individual items Table 4 shows the overall psychological health of Employees. According to results around 3/5th of the Employees (59.55%) were suffering from a bad state of psychological health whereas only 21.36% of respondents had average psychological health which can be considered neither good nor bad. Around 1/5th of the Employees (19.09%) were found to enjoy good overall psychological health.
Table 4: Overall Psychological Health of Employees
Overall Psychological Health |
N |
Percentage |
Good |
59 |
19.09 |
Average |
66 |
21.36 |
Bad |
184 |
59.55 |
Total |
309 |
100 |
The remote working set-up differs in urban and rural areas so it may affect the psychological health of employees differently. To test the difference in physical health of urban and rural employees following hypothesis has been taken:
H02: There is no significant difference in the psychological health of urban and rural employees working in remote work environments
Ha2: There is a significant difference in the psychological health of urban and rural employees working in remote work environments
An Independent two-sample-test was applied to test the hypothesis and results are shown in Table 5. It can be seen that at a 5% level of significance, the t-statistic (7.822) is significant which leads to the rejection of the hypothesis so it can be concluded that there is a significant difference in the psychological health of urban (1.97) and rural employees (3.14) working in remote work environments.
Table 5: t-test result to measure difference in the psychological health of urban and rural employees
Overall Psychological Health |
Urban |
Rural |
||
N |
Percentage |
N |
Percentage |
|
Good |
41 |
16.33 |
18 |
31.03 |
Average |
40 |
15.94 |
26 |
44.83 |
Bad |
170 |
67.73 |
14 |
24.14 |
Total |
251 |
100 |
58 |
100 |
Mean |
1.97 |
3.14 |
||
Standard Deviation |
0.98 |
1.21 |
||
t-value |
7.822 |
|||
p-value |
0.0001 |
|||
Result |
Significant |
Level of Significance=5%
The final opinion of respondents was ascertained with the help of the mean score as shown in Table 7. It can be seen that employees always face the problem of blurred vision (mean=4.41) and they often face severe headaches (mean=3.71). According to respondents they sometimes feel itchy, dry or red eyes (mean=3.39), sometimes feel tiredness or fatigue (mean=3.27), sick (mean=3.25) and joint pains (mean=3.11).
Table 6: Frequency Distribution of Physical Health of Employees
Physical Health |
Never |
Seldom |
Sometimes |
Often |
Always |
|||||
Items |
N |
%age |
N |
%age |
N |
%age |
N |
%age |
N |
%age |
I feel sick |
42 |
13.59 |
51 |
16.50 |
60 |
19.42 |
101 |
32.69 |
55 |
17.80 |
I face severe headache |
21 |
6.80 |
27 |
8.74 |
55 |
17.80 |
124 |
40.13 |
82 |
26.54 |
I have blurred vision |
10 |
3.24 |
7 |
2.27 |
28 |
9.06 |
64 |
20.71 |
200 |
64.72 |
I feel itchy, dry or red eyes |
28 |
9.06 |
39 |
12.62 |
69 |
22.33 |
130 |
42.07 |
43 |
13.92 |
Suffering from joint pains |
41 |
13.27 |
57 |
18.45 |
62 |
20.06 |
124 |
40.13 |
25 |
8.09 |
I feel tiredness or fatigue |
39 |
12.62 |
45 |
14.56 |
71 |
22.98 |
101 |
32.69 |
53 |
17.15 |
Average |
30 |
9.76 |
38 |
12.19 |
58 |
18.61 |
107 |
34.74 |
76 |
24.70 |
Table 7: Descriptive Statistics of Physical Health of Employees
Physical Health Items |
Mean |
S.D. |
C.V. |
Frequency |
I feel sick |
3.25 |
1.69 |
0.52 |
Sometimes |
I face severe headache |
3.71 |
1.32 |
0.36 |
Often |
I have blurred vision |
4.41 |
0.95 |
0.21 |
Always |
I feel itchy, dry or red eyes |
3.39 |
1.31 |
0.39 |
Sometimes |
Suffering from joint pains |
3.11 |
1.43 |
0.46 |
Sometimes |
I feel tiredness or fatigue |
3.27 |
1.59 |
0.49 |
Sometimes |
Table 8 presents the overall physical health status of respondents. Only 22.01% of employees hada good state of physical health whereas the majority of Employees (59.22%) were suffering from bad physical health. 18.77% of employees had neither good nor bad i.e. average state of physical health.
Table 8: Overall Physical Health of Employees
Overall Physical Health |
N |
Percentage |
Good |
68 |
22.01 |
Average |
58 |
18.77 |
Bad |
183 |
59.22 |
Total |
309 |
100 |
To test the difference in physical health of urban and rural employees following hypothesis has been taken:
H02:There is no significant difference in the physical health of urban and rural employees working in remote work environments
Ha2:There is a significant difference in the physical health of urban and rural employees working in remote work environments
An Independent two-sample-test was applied to test the hypothesis and results are shown in Table 9. It can be seen that at a 5% level of significance, the t-statistic(7.953) is significant which leads to the rejection of the hypothesis so it can be concluded that there is a significant difference in the physical health of urban (2.06) and rural (1.05) employees working in rural work environments.
Table 9: t-test result to measure the difference in the physical health of urban and rural employees
Overall Physical Health |
Urban |
Rural |
||
N |
Percentage |
N |
Percentage |
|
Good |
43 |
17.13 |
25 |
43.10 |
Average |
47 |
18.73 |
11 |
18.97 |
Bad |
161 |
64.14 |
22 |
37.93 |
Total |
251 |
100 |
58 |
100 |
Mean |
2.06 |
3.11 |
||
Standard Deviation |
0.87 |
1.05 |
||
t-value |
7.953 |
|||
p-value |
0.0001 |
|||
Result |
Significant |
Level of Significance=5%
Table 10: Overall Occupational Health of Employees
Health Status |
Psychological Health |
Physical Health |
Overall Occupational Health |
|||
N |
Percentage |
N |
Percentage |
N |
Percentage |
|
Good |
59 |
19.09 |
68 |
22.01 |
64 |
20.71 |
Average |
66 |
21.36 |
58 |
18.77 |
62 |
20.06 |
Bad |
184 |
59.55 |
183 |
59.22 |
183 |
59.22 |
Total |
309 |
100 |
309 |
100 |
309 |
100 |
The persons belonging to different demographic groups may have different mental & physical states so to check the impact of demographic variables on the occupational health of Employees following hypothesis has been taken:
H03: There is no significant difference in the occupational health of employees concerning their demographic variables
Ha3: There is a significant difference in the occupational health of employees concerning their demographic variables
To test this hypothesis chi-square test was applied and the results received are presented in Table 11. At the 5% level, the value of the chi-statistic is found to be significant for all the demographic variables. So, it can be concluded that the occupational health of Employees differs concerning their gender, age, marital status, area of remote work environment, industry and work experience.
Table 11: Chi-Square test results to measure the impact of demographic variables on the occupational health of Employees
Demographic Profile |
Overall Occupational Health |
Chi-Square Value |
p-Value |
Significance |
||||
Good |
Average |
Bad |
Total |
|||||
Gender |
Male |
37 |
23 |
143 |
203 |
36.845 |
0.000 |
Significant |
Female |
27 |
39 |
40 |
106 |
||||
Total |
64 |
62 |
183 |
309 |
||||
Age |
21-30 Years |
21 |
20 |
57 |
98 |
14.173 |
0.027 |
Significant |
31-40 Years |
25 |
30 |
102 |
157 |
||||
41-50 Years |
10 |
9 |
20 |
39 |
||||
Above 50 Years |
8 |
3 |
4 |
15 |
||||
Total |
64 |
62 |
183 |
309 |
||||
Marital Status |
Single |
31 |
21 |
76 |
128 |
10.571 |
0.031 |
Significant |
Married |
25 |
30 |
96 |
151 |
||||
Divorced/Widow |
8 |
11 |
11 |
30 |
||||
Total |
64 |
62 |
183 |
309 |
||||
Area |
Urban |
47 |
43 |
161 |
251 |
13.748 |
0.001 |
Significant |
Rural |
17 |
19 |
22 |
58 |
||||
Total |
64 |
62 |
183 |
309 |
||||
Industry |
Information Technology |
17 |
20 |
137 |
174 |
70.57 |
0.000 |
Significant |
Banking and Insurance |
14 |
15 |
13 |
42 |
||||
CA firms |
21 |
21 |
29 |
71 |
||||
Consultancy firms |
12 |
6 |
4 |
22 |
||||
Total |
64 |
62 |
183 |
309 |
||||
Work Experience |
Up to 5 Years |
32 |
25 |
47 |
104 |
38.067 |
0.000 |
Significant |
5 to 10 Years |
12 |
18 |
107 |
137 |
||||
More than 10 Years |
20 |
19 |
29 |
68 |
||||
Total |
64 |
62 |
183 |
309 |
Level of Significance=5%
Findings:
Discussion of Findings:
Conclusion & and Future Directions:
In conclusion, this study provides a comprehensive understanding of the challenges and opportunities associated with remote work in the digital age. The implications extend to physical and mental health, the integration of technology, social dynamics, organizational policies, and the ongoing development of digital literacy. These insights offer valuable guidance for organizations aiming to cultivate a supportive and health-promoting remote work environment. The study looked at how virtual reality and other cutting-edge technologies might affect remote work and worker health. The results highlight how dynamic remote work is and how important it is for businesses to keep up with technology developments. The review's forward-looking analysis also addressed opportunities and possible obstacles for occupational health in light of the rapidly changing trends in digital work, emphasising the need for practitioners and researchers to plan and adjust as circumstances change.
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