Skip to main content
International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2013 Sep 25;10(10):4560–4570. doi: 10.3390/ijerph10104560

Associations of Workplace Bullying and Harassment with Pain

Jiro Takaki 1,*, Toshiyo Taniguchi 2, Kumi Hirokawa 3
PMCID: PMC3823333  PMID: 24071921

Abstract

The aim of this study was to investigate associations of workplace bullying and harassment with headache, stiffness of the neck or shoulders, lumbago, and pain of two or more joints. The subjects in this cross-sectional study were recruited from workers (n = 1,913) at 35 healthcare or welfare facilities in Japan. Because of non-participation or missing data, the number of subjects included in the analysis varied (response rate ≥ 77.1%). Workplace bullying and harassment were assessed using the Negative Acts Questionnaire. Depression was assessed using the Brief Job Stress Questionnaire. The frequency of pain experienced by workers in the previous month was evaluated using a four-point scale. Many of the associations of person-related bullying, work-related bullying, and sexual harassment with headache, stiffness of the neck or shoulders, lumbago, and pain of two or more joints were positive and significant (p < 0.05). Even after adjustment for depression, some of the associations remained significant (p < 0.05). For example, changes in the prevalence ratio for headache associated with a 1-point increase in the work-related bullying score were 1.05 (95% confidence interval (CI) 1.01 to 1.09) in men and 1.03 (95% CI 1.01 to 1.05) in women after adjustment for age, marital status, employment status, work shift, and depression.

Keywords: workplace bullying, harassment, depression, pain, prevalence ratio

1. Introduction

According to the International Labour Office (ILO), the International Council of Nurses (ICN), the World Health Organization (WHO), and the Public Services International (PSI), bullying (or mobbing) is “repeated and over time offensive behaviour through vindictive, cruel or malicious attempts to humiliate or undermine an individual or groups of employees,” and harassment is “any conduct based on age, disability, HIV status, domestic circumstances, sex, sexual orientation, gender reassignment, race, colour, language, religion, political, trade union or other opinion or belief, national or social origin, association with a minority, property, birth or other status that is unreciprocated or unwanted and which affects the dignity of men and women at work” [1]. Many victims of these actions demonstrate depressive or somatic symptoms [1].

In a recent cross-sectional study, neck pain was associated with intimidation at work and with unwanted sexual attention in bivariate analyses in both genders [2]. In another recent study, new onset chronic neck pain during follow-up was associated with current workplace bullying, earlier bullying at the present workplace, and earlier bullying in another workplace in women, but not men [3]. However, to the best of our knowledge, the associations of workplace bullying and harassment with headache, stiffness of the neck or shoulders, lumbago, and pain of two or more joints have not yet been investigated. We hypothesized that workplace bullying and harassment are associated with headache, stiffness of the neck or shoulders, lumbago, and pain of two or more joints. Because a previous study reported gender difference [3], we analyzed the data in men and women separately.

2. Methods

2.1. Subjects

The subjects in this study were recruited from workers (n = 1,931) at 35 healthcare or welfare facilities in Japan. Questionnaires were mailed to the organizations and distributed to the workers. The purpose and procedure of the survey were explained to the participants in the documents. Written informed consent was obtained from all participants, who were not compensated for their participation. A total of 1,642 questionnaires were returned in sealed envelopes (response rate, 85.0%). Because of missing data, the number of subjects included in the analysis varied (Table 1, Table 2, Table 3 and Table 4). This study was approved by the ethics committee of the Okayama Prefectural University.

Table 1.

Participant characteristics according to gender.

Men ( n = 367) a Women ( n = 1,266) a p b Number of missing data
Mean SD Range Mean SD Range
Age (years) 31.9 9.7 18–74 39.2 12.8 17–73 <0.001 5
Depression 11.2 4.2 6–24 10.9 4.1 6–24 0.358 36
Person-related bullying 8.3 3.3 6–29 7.8 2.9 6–30 0.036 83
Work-related bullying 5.1 2.1 3–15 4.8 1.8 3–14 0.187 51
Sexual harassment 3.38 0.99 3–11 3.25 0.81 3–13 0.008 36
n % n %
Marital status <0.001 10
Unmarried 186 51.0 444 35.3
Married 169 46.3 629 50.0
Divorced or widowed 10 2.7 185 14.7
Employment status <0.001 13
Regular 345 94.3 975 77.8
Contractual 21 5.7 279 22.2
Work shift <0.001 12
Shift work without night shift 30 8.2 207 16.5
Shift work with night shift 251 68.8 566 45.1
Regular daytime work 84 23.0 483 38.5
Type of occupation Not applicable 45
Professional caregiver 290 81.0 879 71.5
Nurse 4 1.1 158 12.8
Clerk 27 7.5 45 3.7
Nutritionist 0 0.0 75 6.1
Others 37 10.4 73 5.9
Having headache 190 51.9 876 69.7 <0.001 9
Having stiffness of neck or shoulders 247 67.9 1047 83.3 <0.001 10
Having lumbago 247 67.9 983 78.2 <0.001 12
Having pain of two or more joints 145 39.6 671 53.3 <0.001 12

SD = standard deviation; a N of missing data for gender was 9; b Variables of age and depression were compared using the unpaired t-test, variables of workplace bullying and harassment were compared using the Mann-Whitney U test, and categorical variables were compared using the chi-square test.

Table 2.

Changes in the prevalence ratio associated with a 1-point increase in the person-related bullying score.

Men Women
PR 95% CI N a PR 95% CI N a
Headache
Crude 1.04 (1.01, 1.07) 347 1.03 (1.02, 1.04) 1,196
Adjusted for demographics b 1.04 (1.01, 1.07) 343 1.03 (1.02, 1.04) 1,169
Additionally adjusted for depression 1.01 (0.98, 1.04) 343 1.01 (1.00, 1.02) 1,145
Stiffness of neck or shoulders
Crude 1.02 (0.99, 1.04) 346 1.01 (1.00, 1.01) 1,197
Adjusted for demographics b 1.02 (0.99, 1.04) 342 1.01 (1.00, 1.01) 1,170
Additionally adjusted for depression 1.00 (0.97, 1.02) 342 1.00 (0.99, 1.01) 1,146
Lumbago
Crude 1.01 (0.99, 1.04) 346 1.02 (1.02, 1.03) 1,196
Adjusted for demographics b 1.02 (0.99, 1.04) 342 1.02 (1.02, 1.03) 1,169
Additionally adjusted for depression 1.00 (0.98, 1.03) 342 1.01 (1.00, 1.02) 1,146
Pain of two or more joints
Crude 1.05 (1.02, 1.09) 347 1.04 (1.02, 1.05) 1,197
Adjusted for demographics b 1.06 (1.02, 1.09) 343 1.04 (1.03, 1.05) 1,170
Additionally adjusted for depression 1.03 (1.00, 1.06) 343 1.01 (0.99, 1.02) 1,147

PR = prevalence ratio, CI = confidence interval; a N may vary due to missing data; b Age, marital status, employment status, and work shift; Bold values signify statistical significance.

Table 3.

Changes in the prevalence ratio associated with a 1-point increase in the work-related bullying score.

Men Women
PR 95% CI N a PR 95% CI N a
Headache
Crude 1.09 (1.05, 1.13) 355 1.06 (1.04, 1.08) 1,220
Adjusted for demographics b 1.09 (1.06, 1.13) 352 1.06 (1.04, 1.08) 1,193
Additionally adjusted for depression 1.05 (1.01, 1.09) 349 1.03 (1.01, 1.05) 1,168
Stiffness of neck or shoulders
Crude 1.04 (1.01, 1.07) 353 1.02 (1.01, 1.04) 1,220
Adjusted for demographics b 1.04 (1.01, 1.07) 350 1.02 (1.01, 1.03) 1,193
Additionally adjusted for depression 1.01 (0.98, 1.04) 347 1.01 (0.99, 1.02) 1,168
Lumbago
Crude 1.01 (0.98, 1.05) 353 1.03 (1.02, 1.05) 1,220
Adjusted for demographics b 1.02 (0.99, 1.05) 350 1.04 (1.02, 1.05) 1,193
Additionally adjusted for depression 0.99 (0.96, 1.03) 347 1.02 (1.00, 1.03) 1,169
Pain of two or more joints
Crude 1.08 (1.03, 1.13) 355 1.07 (1.04, 1.09) 1,221
Adjusted for demographics b 1.10 (1.04, 1.15) 352 1.07 (1.04, 1.09) 1,194
Additionally adjusted for depression 1.04 (0.99, 1.10) 349 1.01 (0.99, 1.04) 1,170

PR = prevalence ratio, CI = confidence interval; a N may vary due to missing data; b Age, marital status, employment status, and work shift; Bold values signify statistical significance.

Table 4.

Changes in the prevalence ratio associated with a 1-point increase in the sexual harassment score.

Men Women
PR 95% CI N a PR 95% CI N a
Headache
Crude 1.08 (0.99, 1.18) 361 1.08 (1.05, 1.10) 1,229
Adjusted for demographics b 1.08 (0.99, 1.19) 357 1.07 (1.04, 1.10) 1,201
Additionally adjusted for depression 1.03 (0.94, 1.12) 354 1.03 (1.00, 1.06) 1,176
Stiffness of neck or shoulders
Crude 1.01 (0.94, 1.08) 359 1.03 (1.01, 1.05) 1,229
Adjusted for demographics b 1.01 (0.94, 1.09) 355 1.02 (1.00, 1.05) 1,201
Additionally adjusted for depression 0.97 (0.90, 1.04) 352 1.02 (1.00, 1.04) 1,176
Lumbago
Crude 1.07 (1.01, 1.15) 359 1.05 (1.03, 1.07) 1,229
Adjusted for demographics b 1.07 (1.00, 1.14) 355 1.05 (1.03, 1.07) 1,201
Additionally adjusted for depression 1.04 (0.98, 1.11) 352 1.03 (1.00, 1.05) 1,177
Pain of two or more joints
Crude 1.13 (1.03, 1.24) 361 1.09 (1.06, 1.13) 1,230
Adjusted for demographics b 1.13 (1.02, 1.25) 357 1.12 (1.08, 1.16) 1,202
Additionally adjusted for depression 1.06 (0.96, 1.17) 354 1.06 (1.02, 1.10) 1,178

PR = prevalence ratio, CI = confidence interval; a N may vary due to missing data; b Age, marital status, employment status, and work shift; Bold values signify statistical significance.

2.2. Measures

From August to September, 2009, participants completed a self-administered questionnaire including background information such as age, gender, marital status, employment status, and work shift as well as measures of workplace bullying and harassment, depression, and pain.

Workplace bullying and harassment were assessed using the Negative Acts Questionnaire (NAQ) [4]. The NAQ is a self-administered questionnaire originally developed by Einarsen and Raknes that measures exposure to specific negative acts typical of bullying [4]. It contains items that refer to both direct and indirect behaviors, but it does not require respondents to label themselves as targets of bullying. Respondents indicated on a five-point scale (1 = never, 2 = now and then, 3 = monthly, 4 = weekly, 5 = daily) whether they have experienced the designated negative acts in the context of their job [4]. The NAQ was translated into Japanese using a back-translation method, and the internal consistency reliability and factor and construct validity are reportedly acceptable [1]. A cross-validation study revealed three subscales of the NAQ: person-related bullying (six items such as “Gossip or rumors about you”; score range, 6–30), work-related bullying (three items such as “Someone withholding necessary information so that your work gets complicated”; score range, 3–15), and sexual harassment (three items such as “Unwanted sexual advances”; score range, 3–15) [1].

The frequency of pain (headache, stiffness of the neck or shoulders, lumbago, and pain of two or more joints) experienced by workers in the previous month was evaluated using a four-point scale (1 = almost never, 2 = sometimes, 3 = often, 4 = very often). Participants who answered “2,” “3,” or “4” for a particular symptom were categorized as having that symptom; participants who answered “1” for a particular symptom were categorized as not having that symptom.

Depression was evaluated using a self-reported Brief Job Stress Questionnaire (BJSQ) published in a research report on stress in the workplace and its impact on workers’ health [5]. The BJSQ was developed in Japan with the support of the Japanese Ministry of Labour and has been widely used in Japan to evaluate work-related stressful situations in various clinical and occupational settings [6,7,8,9,10]. In the BJSQ, six items, such as “I feel sad,” are used to measure workers’ depression. The response option is based on the frequency in the previous month and is scored using a four-point scale (1 = almost never, 2 = sometimes, 3 = often, 4 = very often). We calculated a total score (range, 6–24) for the six items as a measure of depression. Cronbach’s α for the depression scale has been reported as 0.86 [5] and was 0.89 in the present study.

2.3. Statistical Analyses

Variables of age and depression were compared using the unpaired t-test, variables of workplace bullying and harassment were compared using the Mann-Whitney U test, and categorical variables were compared using the chi-square test. SPSS version 20.0 were used for these tests. Based on the recommendation of Barros and Hirakata, prevalence ratios (PRs) and their 95% confidence intervals (CIs) were calculated by Cox regression with constant time at risk and robust variance using Stata/SE 10 [11]. All tests were two-tailed, and statistical significance was set at p < 0.05.

3. Results

Participant characteristics according to gender are shown in Table 1. On average, men were significantly younger than women. Scores for person-related bullying (mean score, 8.3 for men versus 7.8 for women) and sexual harassment (mean score, 3.38 for men versus 3.25 for women) were significantly higher in men than in women.

Marital status, employment status, and work shift were significantly different between men and women. Significantly more women than men experienced each type of pain. Changes in the PR associated with a 1-point increase in the person-related bullying score are shown in Table 2. Headache was significantly positively associated with person-related bullying bivariately and after adjustment for demographics in both genders, and after adjustment for demographics and depression only in women. Stiffness of neck or shoulders was not significantly associated with person-related bullying. Lumbago was significantly positively associated with person-related bullying bivariately, after adjustment for demographics, and after adjustment for demographics and depression in women, but not in men. Pain of two or more joints was significantly positively associated with person-related bullying bivariately and after adjustment for demographics in both genders.

Changes in the PR associated with a 1-point increase in the work-related bullying score are shown in Table 3. Headache was significantly positively associated with work-related bullying bivariately, after adjustment for demographics, and after adjustment for demographics and depression in both genders. Stiffness of neck or shoulders was significantly positively associated with work-related bullying bivariately and after adjustment for demographics in both genders. Lumbago was significantly positively associated with work-related bullying bivariately, after adjustment for demographics, and after adjustment for demographics and depression in women, but not in men. Pain of two or more joints was significantly positively associated with work-related bullying bivariately and after adjustment for demographics in both genders.

Changes in the PR associated with a 1-point increase in the sexual harassment score are shown in Table 4. Headache and stiffness of neck or shoulders were significantly positively associated with sexual harassment bivariately and after adjustment for demographics only in women. Lumbago and pain of two or more joints were significantly positively associated with sexual harassment bivariately and after adjustment for demographics in both genders, and after adjustment for demographics and depression only in women.

4. Discussion

Many of the associations of person-related bullying, work-related bullying, and sexual harassment with pain were positive and significant. The point estimates of the PRs in men and women were similar, and their 95% CIs in men and women overlapped each other. We found significant associations more frequently in women than in men probably because of relatively large sample sizes in women. After adjustment for depression, the degrees of the associations of workplace bullying and harassment with pain decreased, but some of the associations remained significant.

Workplace bulling and harassment can cause depression [2,12,13]. Patients with depression are likely to report somatic symptoms [14]. Nakao and Yano reported an association between depression and somatic symptoms in Japanese workers [15]. Psychological distress has been reported to be a strong risk factor for neck pain in several studies [2]. Thus, depression might be an intermediate factor, rather than a confounding factor, in the association of workplace bullying and harassment with pain [16]. By adjustment for a possible intermediate depression, a direct effect of workplace bulling and harassment on pain, an effect of workplace bulling and harassment on pain that is not mediated by depression, could be calculated [16]. Depression can also be affected by pain [2]. If depression was affected by pain, we could not regard depression as a confounding factor either, interpretation of adjustment for depression should be made with caution, and adjustment for depression could underestimate the true associations of workplace bullying and harassment with pain [16].

Even after adjustment for depression, some of the associations of workplace bullying and harassment with pain remained significant. Mechanisms other than just depression appear to play a role in the relationship of workplace bullying and harassment with pain. For example, the relationship between corticosteroids and stress is well known. Recent scientific and clinical evidence has demonstrated the direct role that steroids play in the generation of chronic pain [17]. Stress reactions caused by bullying or harassment may affect health by direct biological effects, prolonged physiological activation and lack of restitution, or compromised lifestyle and health behaviors [18].

The strength of this study was that we used a relatively large sample of workers to obtain reliable results. However, we must also note several limitations. First, we need to be cautious in interpreting causality in our results because the study used a cross-sectional design. Second, because we used convenience sampling, the results may not be applicable to the entire workforce. Many of the participants were professional caregivers and working with night shift. However, because we included workers from 35 various facilities and obtained a response rate of at least 77.1%, some generalizability can be expected. For example, more women than men experienced each type of pain. This is consistent with previous studies on neck pain [2,13]. Third, the observed variables were self-reported. More objective measurements are needed in future studies.

The present study supports the association of workplace bullying and harassment with pain. If the causality from workplace bullying and harassment to pain was confirmed, to help prevent pain in workers, measures to prevent workplace bullying or harassment should be considered. Prevention may include the introduction of occupational guidelines against bullying and harassment, active monitoring of specific workplace bullying or harassment, and taking action to deal with bullying using criminal, civil, social, or occupational laws [19]. Other measures may also be necessary, such as improving workplace social support, which can reduce workplace bullying [1,20,21].

5. Conclusions

Many of the associations of person-related bullying, work-related bullying, and sexual harassment with headache, stiffness of the neck or shoulders, lumbago, and pain of two or more joints were positive and significant. Even after adjustment for depression, some of the associations remained significant.

Acknowledgments

This work was supported in part by Research Grants (No. 50324299 and No. 23500802) from the Ministry of Education, Culture, Sports, Science and Technology, Japan and in part by funding from the Etsunankai Medical Corporation. The authors thank Morten Birkeland Nielsen and the Bergen Bullying Research Group for permission to use the NAQ.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.Takaki J., Tsutsumi A., Fujii Y., Taniguchi T., Hirokawa K., Hibino Y., Lemmer R.J., Nashiwa H., Wang D.H., Ogino K. Assessment of workplace bullying and harassment: Reliability and validity of a Japanese version of the Negative Acts Questionnaire. J. Occup. Health. 2010;52:74–81. doi: 10.1539/joh.o9011. [DOI] [PubMed] [Google Scholar]
  • 2.Stock S.R., Tissot F. Are there health effects of harassment in the workplace? A gender-sensitive study of the relationships between work and neck pain. Ergonomics. 2012;55:147–159. doi: 10.1080/00140139.2011.598243. [DOI] [PubMed] [Google Scholar]
  • 3.Kääriä S., Laaksonen M., Rahkonen O., Lahelma E., Leino-Arjas P. Risk factors of chronic neck pain: A prospective study among middle-aged employees. Eur. J. Pain. 2012;16:911–920. doi: 10.1002/j.1532-2149.2011.00065.x. [DOI] [PubMed] [Google Scholar]
  • 4.Einarsen S., Raknes B.I. Harassment in the workplace and the victimization of men. Violence Vict. 1997;12:247–263. [PubMed] [Google Scholar]
  • 5.Shimomitsu T., Haratani T., Iwata N., Nakamura K. The Final Development of the Brief Job Stress Questionnaire Mainly Used for Assessment of the Individuals. In: Kato M., editor. Ministry of Labour Sponsored Grant for the Prevention of Work-Related Illness. A Research Report Relating to Stress in the Workplace and its Impact on Workers’ Health in 1999. Ministry of Labour; Tokyo, Japan: 2000. pp. 126–164. [Google Scholar]
  • 6.Kawakami N., Kobayashi Y., Takao S., Tsutsumi A. Effects of web-based supervisor training on supervisor support and psychological distress among workers: A randomized controlled trial. Prev. Med. 2005;41:471–478. doi: 10.1016/j.ypmed.2005.01.001. [DOI] [PubMed] [Google Scholar]
  • 7.Shimazu A., Umanodan R., Schaufeli W.B. Effects of a brief worksite stress management program on coping skills, psychological distress and physical complaints: A controlled trial. Int. Arch. Occup. Environ. Health. 2006;80:60–69. doi: 10.1007/s00420-006-0104-9. [DOI] [PubMed] [Google Scholar]
  • 8.Suwazono Y., Dochi M., Kobayashi E., Oishi M., Okubo Y., Tanaka K., Sakata K. Benchmark duration of work hours for development of fatigue symptoms in Japanese workers with adjustment for job-related stress. Risk Anal. 2008;28:1689–1698. doi: 10.1111/j.1539-6924.2008.01107.x. [DOI] [PubMed] [Google Scholar]
  • 9.Sato Y., Miyake H., Thériault G. Overtime work and stress response in a group of Japanese workers. Occup. Med. 2009;59:14–19. doi: 10.1093/occmed/kqn141. [DOI] [PubMed] [Google Scholar]
  • 10.Otsuka T., Kawada T., Ibuki C., Kusama Y. Relationship between job strain and radial arterial wave reflection in middle-aged male workers. Prev. Med. 2009;49:260–264. doi: 10.1016/j.ypmed.2009.07.005. [DOI] [PubMed] [Google Scholar]
  • 11.Barros A.J., Hirakata V.N. Alternatives for logistic regression in cross-sectional studies: An empirical comparison of models that directly estimate the prevalence ratio. BMC Med. Res. Methodol. 2003;3:21. doi: 10.1186/1471-2288-3-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Takaki J., Taniguchi T., Fukuoka E., Fujii Y., Tsutsumi A., Nakajima K., Hirokawa K. Workplace bullying could play important roles in the relationships between job strain and symptoms of depressive symptoms and sleep disturbance. J. Occup. Health. 2010;52:367–374. doi: 10.1539/joh.L10081. [DOI] [PubMed] [Google Scholar]
  • 13.Niedhammer I., David S., Degioanni S. Association between workplace bullying and depressive symptoms in the French working population. J. Psychosom. Res. 2006;61:251–259. doi: 10.1016/j.jpsychores.2006.03.051. [DOI] [PubMed] [Google Scholar]
  • 14.Simon G.E., VonKorff M., Piccinelli M., Fullerton C., Ormel J. An international study of the relation between somatic symptoms and depressive symptoms. N. Engl. J. Med. 1999;341:1329–1335. doi: 10.1056/NEJM199910283411801. [DOI] [PubMed] [Google Scholar]
  • 15.Nakao M., Yano E. Reporting of somatic symptoms as a screening marker for detecting major depressive symptoms in a population of Japanese white-collar workers. J. Clin. Epidemiol. 2003;56:1021–1026. doi: 10.1016/S0895-4356(03)00154-9. [DOI] [PubMed] [Google Scholar]
  • 16.Rothman K.J., Greenland S., Lash T.L. Modern Epidemiology. 3rd ed. Lippincott Williams and Wilkins; Philadelphia, PA, USA: 2008. [Google Scholar]
  • 17.McEwen B.S., Kalia M. The role of corticosteroids and stress in chronic pain conditions. Metabolism. 2010;59:S9–S15. doi: 10.1016/j.metabol.2010.07.012. [DOI] [PubMed] [Google Scholar]
  • 18.McEwen B.S. Protective and damaging effects of stress mediators. N. Engl. J. Med. 1998;338:171–179. doi: 10.1056/NEJM199801153380307. [DOI] [PubMed] [Google Scholar]
  • 19.Weber A., Hörmann G., Köllner V. Mobbing—A work related risk factor of service-based society? Gesundheitswesen. 2007;69:267–276. doi: 10.1055/s-2007-976518. [DOI] [PubMed] [Google Scholar]
  • 20.Quine L. Workplace bullying in NHS community trust: Staff questionnaire survey. BMJ. 1999;318:228–232. doi: 10.1136/bmj.318.7178.228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hansen A.M., Hogh A., Persson R., Karlson B., Garde A.H., Ørbaek P. Bullying at work, health outcomes, and physiological stress response. J. Psychosom. Res. . 2006;60:63–72. doi: 10.1016/j.jpsychores.2005.06.078. [DOI] [PubMed] [Google Scholar]

Articles from International Journal of Environmental Research and Public Health are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES