Journal List > Ann Occup Environ Med > v.30(1) > 1125050

Park, Kim, Park, Jang, Choi, and Leem: Satisfaction with life and the risk of occupational injury

Abstract

Background

Occupational injuries increase burden on society as well as personal health. Low satisfaction with life may not only increases the risk of occupational injuries directly, but also influences other factors that increase the risk of occupational injury. Along with previous studies on the risk of occupational injury, we sought to explore the relationship between satisfaction with life and occupational injury.

Methods

The study participants were 6234workers health screened at a university hospital in Incheon. Information on occupational injury and satisfaction with life scale (SWLS) was obtained in a self-report format. Participants were allocated to one of four SWLS groups; the dissatisfied group, the slightly dissatisfied group, the slightly satisfied group, and the satisfied group. The analysis was performed using the chi-square test primarily and by logistic regression adjusted for potential confounders.

Results

In men, the unadjusted and adjusted odds ratios (ORs) of low satisfaction with life (SWLS< 20) were 1.98(CI1.55–2.53) and 1.81(CI 1.41–2.32), respectively. When the SWLS were divided into four groups, the adjusted ORs of the slightly satisfied (20–25), slightly dissatisfied(15–19), and dissatisfied(≤14) groups were 1.21, 1.72, and 2.70, respectively. That is ORs tended to increase linearly with decreasing SWLS score (p for trend <0.001). In women, this relation was of borderline significance at best. When subjects were dichotomized based on SWLS scores, for males, the cured and adjusted RRs of occupational injury in the low satisfaction with life group were1.91 (95% CI: 1.50–2.42) and 1.66 (95% CI: 1.30–2.13), and for females, the adjusted-RR was marginally significant (1.67; 95% CI: 0.93–2.99). When subjects were divided into four groups by SWLS scores, adjusted RRs tended to increase linearly with decreasing SWLS score for males (slightly satisfied: 1.18, 95% CI: 0.77–1.82; slightly dissatisfied: 1.65, 95% CI: 1.08–2.52; dissatisfied: 2.22, 95% CI: 1.44–3.42; p for trend <0.001) and for females (slightly satisfied: 1.17, 95% CI: 0.42–3.30; slightly dissatisfied: 1.56, 95% CI: 0.56–4.36; dissatisfied: 2.38, 95% CI: 0.84–6.74; p for trend=0.040).

Conclusions

This study suggests that the risk of occupational injury was higher in workers not satisfied with life, and indicates attention to satisfaction with life may promote the health of workers.

References

1. Centers for Disease Control and Prevention. Hazards & Exposures;2016. https://www.cdc.gov/niosh/topics/hazards.html. Accessed 7 July 2017.
2. Barling JE, Frone MR. The psychology of workplace safety:. American Psychological Association;2004. p. 3–12.
3. Mekkodathil A, El-Menyar A, Al-Thani H. Occupational injuries in workers from different ethnicities. Int J Crit Illn Inj Sci. 2016; 6(1):25–32.
crossref
4. Kang Y, Siddiqui S, Suk SJ, Chi S, Kim C. Trends of fall accidents in the US construction industry. J Constr Eng Manag. 2017; 143(8):04017043.
crossref
5. Yu S, Lu ML, Gu G, Zhou W, He L, Wang S. Musculoskeletal symptoms and associated risk factors in a large sample of Chinese workers in Henan province of China. Am J Ind Med. 2012; 55(3):281–93.
crossref
6. National Institute for Occupational Safety and Health. Traumatic Occupational Injuries;2009. https://www.cdc.gov/niosh/injury/data.html. Accessed 7 July 2017.
7. Tao XG, Su PY, Yuspeh L, Lavin RA, Kalia-Satwah N, Bernacki EJ. Is obesity associated with adverse workers'compensation claims outcomes? J Occup Environ Med. 2016; 58(9):880–4.
8. Jadhav R, Achutan C, Haynatzki G, Rajaram S, Rautiainen R. Risk factors for agricultural injury: a systematic review and meta-analysis. J Agromedicine. 2015; 20(4):434–49.
crossref
9. Buswell ML, Hourigan M, Nault AJ, Bender JB. Needlestick injuries in agriculture workers and prevention programs. J Agromedicine. 2016; 21(1):82–90.
crossref
10. Sorge US, Cherry C, Bender JB. Perception of the importance of human-animal interactions on cattle flow and worker safety on Minnesota dairy farms. J Dairy Sci. 2014; 97(7):4632–8.
crossref
11. Barling J, Kelloway EK, Iverson RD. High-quality work, job satisfaction, and occupational injuries. J Appl Psychol. 2003; 88(2):276–83.
crossref
12. Laal F, Modrek MJ, Balarak D, Mohammadi M, Rakhshani M, Rigi N. Relationship between quality of life and occupational accidents in southeast of Iran (Zahedan). Glob J Health Sci. 2017; 9(2):112–8.
crossref
13. Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985; 49(1):71–5.
crossref
14. Koivumaa-Honkanen H, Honkanen R, Viinamaeki H, Heikkilae K, Kaprio J, Koskenvuo M. Life satisfaction and suicide: a 20-year follow-up study. Am J Psychiatry. 2001; 158(3):433–9.
crossref
15. Henderson M, Glozier N, Elliott KH. Long term sickness absence. British medical journal publishing Group;2005.
16. Galanakis M, Lakioti A, Pezirkianidis C, Karakasidou E. Stalikas A Reliability and validity of the Satisfaction with Life Scale (SWLS) in a Greek sample. 5:2017.
17. Swaen GM, Van Amelsvoort LG, Bültmann U, Kant IJ. Fatigue as a risk factor for being injured in an occupational accident: results from the Maastricht cohort study. Occup Environ Med. 2003; 60(Suppl 1):i88–92.
crossref
18. Zwerling C, Sprince NL, Wallace RB, Davis CS, Whitten PS, Heeringa SG. Risk factors for occupational injuries among older workers: an analysis of the health and retirement study. Am J Public Health. 1996; 86(9):1306–9.
crossref
19. Salminen ST. Epidemiological analysis of serious occupational accidents in southern Finland. Scand J Soc Med. 1994; 22(3):225–7.
crossref
20. Fabiano B, Currò F, Pastorino R. Occupational injuries in Italy: risk factors and long term trend (1951–98). Occup Environ Med. 2001; 58(5):330–8.
crossref
21. Laitinen-Krispijn S, Bijl R. Mental disorders and employee sickness absence: the NEMESIS study. Soc Psychiatry Psychiatr Epidemiol. 2000; 35(2):71–7.
crossref
22. Stansfeld SA, Fuhrer R, Head J. Impact of common mental disorders on sickness absence in an occupational cohort study. Occup Environ Med. 2011; 68(6):408–13.
crossref
23. Stansfeld SA, Rael EG, Head J, Shipley M, Marmot M. Social support and psychiatric sickness absence: a prospective study of British civil servants. Psychol Med. 1997; 27(1):35–48.
crossref
24. Frank AL. Injuries related to shiftwork. Am J Prev Med. 2000; 18(4):33–6.
crossref
25. Nag PK, Patel VG. Work accidents among shiftworkers in industry. Int J Ind Ergon. 1998; 21(3–4):275–81.
crossref
26. Kim YK, Ahn YS, Kim K, Yoon JH, Roh J. Association between job stress and occupational injuries among Korean firefighters: a nationwide cross-sectional study. BMJ Open. 2016; 6(11):e012002.
crossref
27. Peele PB, Tollerud DJ. Depression and occupational injury: results of a pilot investigation. J Occup Environ Med. 2005; 47(4):424–7.
crossref
28. Yazdanshenas Ghazwin M, Kavian M, Ahmadloo M, Jarchi A, Golchin Javadi S, Latifi S, Tavakoli SA, Ghajarzadeh M. The association between life satisfaction and the extent of depression, anxiety and stress among Iranian nurses: a multicenter survey. Iran J Psychiatry. 2016; 11(2):120–7.
29. Rees D, Cooper CL. Research note: reliability of self-report sickness absence data in the health service. Health Serv Manag Res. 1993; 6(2):140–1.
crossref

Table 1
General characteristics of men and women that experienced an occupational injury
  Male Female
N Cases of the occupational injury p-value a N Cases of the occupational injury p-value a
n % n %
Total 4610 297 6.4   1624 57 3.5  
Age (years)
< 30 297 21 7.1 0.433 476 15 3.2 0.007
30–39 1628 112 6.9   570 10 1.8  
40–49 1632 101 6.2   371 19 5.1  
50–59 936 52 5.6   188 12 6.4  
≥ 60 117 11 9.4   19 1 5.3  
Marital status
Never married 1182 74 6.3 0.899 789 21 2.7 0.133
Married 3356 218 6.5   808 36 4.5  
Divorced/widowed 72 5 6.9   27 0 0.0  
Educational status
≤ Middle school 195 9 4.6 0.004 107 4 3.7 0.428
High school 2729 203 7.4   1011 31 3.1  
≥ College 1686 85 5.0   506 22 4.3  
Chronic disease
No 3559 221 6.2 0.236 1482 47 3.2 0.028
Yes 1051 76 7.2   142 10 7.0  
Smoking habit
Never 1076 63 5.9 0.001 1570 53 3.4 0.159
Former 1299 61 4.7   28 2 7.1  
Current 2235 173 7.7   26 2 7.7  
Alcohol consumption (unit/week)
0 1119 69 6.2 0.900 979 30 3.1 0.428
1∼14 2252 146 6.5   567 24 4.2  
15+ 1239 82 6.6   78 3 3.8  

a Obtained by a Chi-squared test or Fisher's exact test

Table 2
Occupational characteristics of men and women that experienced an occupational injury
  Male Female
N Cases of the occupational injury p-value a N Cases of the occupational injury p-value a
n % n %
Industry
Manufacturing 1374 119 8.7 0.001 526 23 4.4 0.641
Wholesale and retail trade 992 73 7.4   309 10 3.2  
Membership organizations, repair and other personal services 882 25 2.8   28 0 0.0  
Transportation 671 56 8.3   26 0 0.0  
Human health and social work activities 139 2 1.4   594 18 3.0  
Information and communications 138 0 0.0   26 0 0.0  
Electricity, gas, steam and water supply 79 3 3.8   2 0 0.0  
Education 53 0 0.0   19 2 10.5  
Public administration and defense 42 3 7.1   2 0 0.0  
Business facilities management and business support services 27 3 11.1   3 0 0.0  
Sewerage, waste management, materials recovery and remediation activities 22 0 0.0   30 1 3.3  
Professional, scientific and technical activities 22 1 4.5   1 0 0.0  
Others 169 12 7.1   58 3 5.2  
Employment status
Regular 4135 259 6.3 0.144 1284 46 3.6 0.757
Temporary 475 38 8.0   340 11 3.2  
Shift work
No 2942 186 6.3 0.659 793 33 4.2 0.163
Yes 1668 111 6.7   831 24 2.9  
Job tenure (years)
< 1 374 28 7.5 0.178 442 11 2.5 0.060
1–4 576 42 7.3   340 8 2.4  
5–9 987 73 7.4   398 14 3.5  
≥ 10 2673 154 5.8   444 24 5.4  
Hours/week worked
≤ 40 1837 86 4.7 < 0.001 732 29 4.0 0.003
41–59 1959 126 6.4   795 19 2.4  
≥ 60 814 85 10.4   97 9 9.3  

a Obtained by a Chi-squared test or Fisher's exact test

Table 3
Satisfaction with life scale (SWLS) scores of men and women that experienced an occupational injury
  Male Female
N Cases of the occupational injury p-valuea N Cases of the occupational injury p-valuea
n % n %
Low satisfaction with life
No (SWLS≥20) 2415 109 4.5 <0.001 773 20 2.6 0.054
Yes (SWLS<20) 2195 188 8.6 851 37 4.3
SWLS score in 4 groups
Satisfied (≥26) 785 30 3.8 <0.001 211 5 2.4 0.067
Slightly satisfied (20–25) 1630 79 4.8 562 15 2.7
Slightly dissatisfied (15–19) 1371 97 7.1 503 17 3.4
Dissatisfied (≤14) 824 91 11.0 348 20 5.7

a Obtained by a Chi-squared test or Fisher's exact test

Table 4
Risk ratios (95% confidence intervals) of occupational injury for men and women with respect to SWLS scores
  Male Female
Unadjusted RR (95% CI) Adjusteda RR (95% CI) Unadjusted RR (95% CI) Adjustedb RR (95% CI)
Low satisfaction with life
No (SWLS≥20) 1.00 1.00 1.00 1.00
Yes (SWLS<20) 1.91 (1.50–2.42) 1.66 (1.30–2.13) 1.62 (0.94–2.81) 1.67 (0.93–2.99)
SWLS score in 4 groups
Satisfied (≥26) 1.00 1.00 1.00 1.00
Slightly satisfied (20–25) 1.28 (0.84–1.97) 1.18 (0.77–1.82) 1.19 (0.43–3.29) 1.17 (0.42–3.30)
Slightly dissatisfied (15–19) 1.91 (1.26–2.90) 1.65 (1.08–2.52) 1.50 (0.55–4.11) 1.56 (0.56–4.36)
Dissatisfied (≤14) 2.83 (1.86–4.31) 2.22 (1.44–3.42) 2.28 (0.85–6.12) 2.38 (0.84–6.74)
p for trend < 0.001 <0.001 0.035 0.040
Per 1 point decrease in SWLS 1.07 (1.05–1.09) 1.05 (1.03–1.08) 1.04 (1.00–1.09) 1.04 (0.99–1.10)

a Adjusted for age, educational level, smoking habit, industry, employment status, tenure, and working hours

b Adjusted for age, marital status, chronic diseases, industry, shift work, tenure, and working hours

TOOLS
Similar articles