Open Access

Higher migraine risk in healthcare professionals than in general population: a nationwide population-based cohort study in Taiwan

  • Wan-Yin Kuo1, 2,
  • Chien-Cheng Huang1, 2, 3, 4, 5,
  • Shih-Feng Weng6,
  • Hung-Jung Lin1, 7, 8,
  • Shih-Bin Su4, 9, 10,
  • Jhi-Joung Wang11,
  • How-Ran Guo2, 12 and
  • Chien-Chin Hsu1, 7Email author
Contributed equally
The Journal of Headache and PainOfficial Journal of the "European Headache Federation" and of "Lifting The Burden - The Global Campaign against Headache"201516:102

https://doi.org/10.1186/s10194-015-0585-6

Received: 14 October 2015

Accepted: 27 November 2015

Published: 3 December 2015

Abstract

Background

High stress levels and shift work probably trigger migraine in healthcare professionals (HCPs). However, the migraine risk differences between HCPs and the general population is unknown.

Methods

This nationwide population-based cohort study used Taiwan’s National Health Insurance Research Database. Physicians (50,226), nurses (122,357), and other HCPs (pharmacists, technicians, dietitians, rehabilitation therapists, social workers, etc.) (45,736) were enrolled for the study cohort, and randomly selected non-HCPs (218,319) were enrolled for the comparison cohort. Conditional logistical regression analysis was used to compare the migraine risks. Comparisons between HCPs and between physician specialties were also done.

Results

Physicians, nurses, and other HCPs had higher migraine risks than did the general population (adjusted odds ratio [AOR]: 1.672; 95 % confidence interval [CI]: 1.468–1.905, AOR: 1.621; 95 % CI: 1.532–1.714, and AOR: 1.254; 95 % CI: 1.124–1.399, respectively) after stroke, hypertension, epilepsy, anxiety, depression, and insomnia had been adjusted for. Nurses and physicians had higher migraine risks than did other HCPs (AOR: 1.303; 95 % CI: 1.206–1.408, and AOR: 1.193; 95 % CI: 1.069–1.332, respectively). Obstetricians and gynecologists had a lower migraine risk than did other physician specialists (AOR: 0.550; 95 % CI: 0.323–0.937).

Conclusion

HCPs in Taiwan had a higher migraine risk than did the general population. Heavy workloads, emotional stress, and rotating night shift sleep disturbances appear to be the most important risk factors. These findings should provide an important reference for promoting occupational health in HCPs in Taiwan.

Keywords

Healthcare professionalsMigraineNursePhysicianSpecialty

Background

Migraine is one of the most prevalent neurological disorders: it affects up to 12 % of the general population [15] and is seventh highest specific cause of disability worldwide [6]. Migraine was the best studied of the headache disorders, from all aspects including epidemiologically [6]. Because it is recurrent, migraine is a potentially debilitating disease that reduces work, daily, and school activity [1, 4, 69]. In 2001, the World Health Organization recognized migraine as an important public health concern and listed it as one of the leading causes of disability in the world [10].

Work stress, one of the environmental factors, is believed to be a significant factor in migraine [11]. Healthcare professionals (HCPs) have stressful jobs, are frequently on rotating work shifts, undergo emotional stress, and work long hours every day because of their job requirements [1214]. In Canada, nearly half (45 %) of the HCPs reported highly stressful work days [15]. Physicians and nurses were especially stressed [15].

The risk for migraine in HCPs is not well understood. One study [16] reported that approximately 29 % of nurses in Taiwan had migraine, and another [17] that approximately 15 % of nurses in northern China did. Although other studies have also reported the prevalence of migraine in HCPs, most were hospital-based and had small sample sizes. Furthermore, the migraine risk in other HCPs compared with that in the general population, and HCPs in general and physician specialties has never been clarified. Therefore, we did a nationwide population-based cohort study in Taiwan to examine these questions. We hypothesized that migraine risk is higher in HCPs, and especially in physicians and nurses, because of their greater job stress.

Methods

Data source

Taiwan’s National Health Insurance (NHI) program, established in 1995, currently covers more than 99 % of the country’s legal residents [18]. The NHI Research Database (NHIRD), which contains registration files and original claim data from reimbursement, is one of the largest administrative healthcare databases in the world [18]. It provides patient identification number, gender, age, date of visit, length of hospitalization, prescribed medication, and diagnoses using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) [18]. Registration files of HCPs obtained from the Registry of medical personnel (PER) of NHIRD include residence area, hospital level, type of employment, specialty, date of HCP license, and encrypted identification number (Fig. 1). Non-HCPs were recruited from the Longitudinal Health Insurance Database 2000 (LHID2000), a data subset of the NHIRD that contains all claims data of one million (4.34 % of the total population) random beneficiaries. There is no significant difference of the characteristics between LHID2000 and NHIRD [18]. NHI covers all the expenses of migraine, stroke, hypertension, epilepsy, anxiety, depression, and insomnia treatments.
Fig. 1

The flowchart of this study. HCP health care professional, LHID Longitudinal Health Insurance Database

Ethics statement

This study was done according to the ethic principles of the Declaration of Helsinki and approved by the Chi-Mei Medical Center Institutional Review Board (IRB). Because the dataset used in this study consisted of deidentified information for academic research, the IRB waived the need for informed consent from the enrolled patients. Nevertheless, patient rights and welfare were not affected.

Selection of study cohort (HCPs) and comparison cohort (non-HCPs)

The data of the HCPs were acquired from all of the registered records the Registry of Medical Personnel (PER) in 2009. HCPs were classified into three subgroups: physicians, nurses, and other HCPs (pharmacists, technicians, dietitians, rehabilitation therapists, social workers, etc.) (Fig. 1). An identical number of non-HCPs were randomly selected from the LHID 2000 as the comparison cohort. Each HCP was matched to one non-HCP by age and gender. In addition to demographic information, we examined migraine-associated comorbidities: stroke (ICD-9 code 434.91), hypertension (ICD-9 codes 401–405), epilepsy (ICD-9 code 345.10), anxiety (ICD-9 code 300.00), depression (ICD-9 code 300.4), and insomnia (ICD-9 code 780.52). These six comorbidities were counted if the enrollee had the diagnosis in 3 or more ambulatory care claims before January 1, 2009.

Comparison between HCPs and non-HCPs

We traced all the enrollee’s medical records to compare the migraine risk between HCPs and non-HCPs from 2007 to 2011. The ICD-9 code of 346.90 indicates a diagnosis of migraine.

Comparison between HCPs and physician specialists

We compared the migraine risk between three subgroups of HCPs (physicians vs. other HCPs, and nurses vs. other HCPs) (Fig. 1). Physicians were also categorized by specialty—internal medicine, surgery, obstetrics and gynecology [Obs/Gyn], pediatrics, family medicine, emergency medicine, etc.—and then compared. Physicians with dual specialties (e.g., board certified for surgery and emergency medicine) were excluded because it was difficult to assign them to an individual specialty. Residents were also excluded because they usually had rotating training specialties and insufficient experience.

Statistical analyses

Differences in baseline demographic characteristics and baseline comorbidities between the groups were analyzed using Student’s t test (continuous variables) and the Pearson χ 2 test (categorical variables). The migraine risk between the HCPs and comparisons was compared using conditional logistic regression analysis. The probable confounding factors of stroke, hypertension, epilepsy, anxiety, depression, and insomnia were adjusted for. The migraine risks between HCPs and physician specialists were compared using unconditional logistic regression analysis. SAS 9.3.1 for Windows (SAS Institute, Cary, NC, USA) was used for all analyses. Significance was set at P < 0.05 (two-tailed).

Results

The enrollees in this study included 50,226 physicians, 122,357 nurses, 45,736 other HCPs and an identical number of age- and gender-matched non-HCPs. The mean ages of the three subgroups of HCPs were 44.42 ± 12.15 (physicians), 33.55 ± 8.76 (nurses), and 38.37 ± 10.88 (other HCPs) (Table 1). Most physicians (81.56 %) were men, and most nurses (98.97 %) and other HCPs (61.87 %) were women. All three subgroups of HCPs had a significantly higher risk of anxiety and insomnia than did non-HCPs. They also had a higher risk of hypertension, but the difference in nurses did not reach statistical significance. In contrast, all three subgroups of HCPs had significantly lower risks of epilepsy and depression than didnon-HCPs. They also had a lower risk of stroke, but the difference in nurses did not reach statistical significance.
Table 1

Demographic Characteristics, baseline comorbidities, and residence location for health care professionals (HCPs) and non-HCPs in Taiwan

 

Physicians (n = 50,226)

Non-HCPs (n = 50,226)

P

Nurses (n = 122,357)

Non-HCPs (n = 122,357)

P

Other HCPs (n = 45,736)

Non-HCPs (n = 45,736)

P

Age (years)

  0–34

12,477 (24.84)

12,477 (24.84)

>0.999

76,955 (62.89)

76,955 (62.89)

>0.999

20,355 (44.51)

20,355 (44.51)

>0.999

  35–59

22,001 (43.80)

22,001 (43.80)

 

38,096 (31.14)

38,096 (31.14)

 

17,383 (38.07)

17,383 (38.07)

 

   ≥ 60

15,748 (31.35)

15,748 (31.35)

 

7306 (5.97)

7306 (5.97)

 

7998 (17.49)

7998 (17.49)

 

 Age (years)

44.42 ± 12.15

44.42 ± 12.15

>0.999

33.55 ± 8.76

33.55 ± 8.76

>0.999

38.37 ± 10.88

38.37 ± 10.88

>0.999

 Gender

  

>0.999

  

>0.999

  

>0.999

  Female

9263 (18.44)

9263 (18.44)

 

121,096 (98.97)

121,096 (98.97)

 

28,297 (61.87)

28,297 (61.87)

 

  Male

40,963 (81.56)

40,963 (81.56)

 

1261 (1.03)

1261 (1.03)

 

17,439 (38.13)

17,439 (38.13)

 

Baseline comorbidity

 Stroke

  

<0.0001

  

0.3152

  

<0.0001

  Yes

1133 (2.26)

1657 (3.30)

 

701 (0.57)

739 (0.60)

 

550 (1.20)

705 (1.54)

 

  No

49,093 (97.74)

48,569 (96.70)

 

121,656 (99.43)

121,618 (99.40)

 

45,186 (98.80)

45,031 (98.46)

 

 Hypertension

 

<0.0001

  

0.0671

  

<0.0001

  Yes

9742 (19.40)

8375 (16.67)

 

5554 (4.54)

5367 (4.39)

 

4913 (10.74)

4412 (9.65)

 

  No

40,484 (80.60)

41,851 (83.33)

 

116,803 (95.46)

116,990 (95.61)

 

40,823 (89.29)

41,324 (90.35)

 

 Epilepsy

  

<0.0001

  

<0.0001

  

<0.0001

  Yes

71 (0.14)

234 (0.47)

 

193 (0.16)

300 (0.25)

 

66 (0.14)

157 (0.34)

 

  No

50,155 (99.86)

49,992 (99.53)

 

122,164 (99.84)

122,057 (99.75)

 

45,670 (99.86)

45,579 (99.66)

 

 Anxiety

  

<0.0001

  

<0.0001

  

<0.0001

  Yes

3298 (6.57)

2926 (5.83)

 

8446 (6.90)

6969 (5.70)

 

3463 (7.57)

2751 (6.01)

 

  No

46,928 (93.43)

47,300 (94.17)

 

113,911 (93.10)

115,388 (94.30)

 

42,273 (92.43)

42,985 (93.99)

 

 Depression

  

<0.0001

  

<0.0001

  

<0.0001

  Yes

1056 (2.10)

1424 (2.84)

 

3691 (3.02)

4094 (3.35)

 

1150 (2.51)

1420 (3.10)

 

  No

49,170 (97.90)

48,802 (97.16)

 

118,666 (96.98)

118,263 (96.65)

 

44,586 (97.49)

44,316 (96.90)

 

 Insomnia

  

<0.0001

  

<0.0001

  

<0.0001

  Yes

4743 (9.44)

2658 (5.29)

 

10,954 (8.95)

6216 (5.08)

 

4256 (9.31)

2447 (5.35)

 

  No

45,483 (90.56)

47,568 (94.71)

 

111,403 (91.05)

116,141 (94.92)

 

41,480 (90.69)

43,289 (94.65)

 

 Residence location

 

<0.0001

  

<0.0001

  

<0.0001

  North

24,396 (48.57)

26,256 (52.33)

 

57,346 (46.87)

65,157 (55.75)

 

21,577 (47.18)

24,752 (54.17)

 

  Central

10,204 (20.32)

8877 (17.69)

 

22,008 (17.99)

21,520 (17.60)

 

8954 (19.58)

7980 (17.47)

 

  South

14,468 (28.81)

14,044 (27.99)

 

39,447 (32.24)

30,434 (24.90)

 

14,153 (30.94)

12,089 (26.46)

 

  East

1158 (2.31)

994 (1.98)

 

3556 (2.91)

2135 (1.75)

 

1052 (2.30)

869 (1.90)

 

Data are number (%) or mean ± SD

The cumulative incidence rates of migraine were 1.51 % in physicians, 3.28 % in nurses, and 1.96 % in other HCPs in this 5-year study (Table 2). Physicians, nurses, and other HCPs had a higher migraine risk than did non-HCPs after adjusting for age, gender, stroke, hypertension, epilepsy, anxiety, depression, and insomnia (adjusted odds ratio [AOR]: 1.672; 95 % confidence interval [CI]: 1.468–1.905; AOR: 1.621; 95 % CI: 1.532–1.714; and AOR: 1.254; 95 % CI: 1.124–1.399, respectively). Compared with other HCPs, both physicians (AOR: 1.193; 95 % CI: 1.069–1.332) and nurses (AOR: 1.303; 95 % CI: 1.206–1.408) had a higher migraine risk (Table 3).
Table 2

Comparison of migraine risk between healthcare professionals (HCPs) and non-HCPs by conditional logistic regression analysis

 

Number (%)

Crude OR (95 % CI)

AOR (95 % CI)a

Physicians (n = 50,226)

759 (1.51)

1.572 (1.402–1.763)**

1.672 (1.468–1.905)**

Non-HCPs (n = 50,226)

485 (0.97)

1.00

1.00

Nurses (n = 122,357)

4008 (3.28)

1.634 (1.553–1.719)**

1.621 (1.532–1.714)**

Non-HCPs (n = 122,357)

2483 (2.03)

1.00

1.00

Other HCPs (n = 45,736)

897 (1.96)

1.236 (1.119–1.364)**

1.254 (1.124–1.399)**

Non-HCPs (n = 45,736)

729 (1.59)

1.00

1.00

AOR adjusted odds ratio, CI confidence interval. aAdjusted for stroke, hypertension, epilepsy, anxiety, depression, and insomnia

**P < 0.001

Table 3

Comparison of migraine risks between health care professionals (HCPs) by unconditional logistic regression analysis

 

Number (%)

Crude OR (95 % CI)

AOR (95 % CI)a

Physicians (n = 50,226)

759 (1.51)

0.767 (0.696–0.846)**

1.193 (1.069–1.332)*

Nurses (n = 122,357)

4008 (3.28)

1.693 (1.573–1.821)**

1.303 (1.206–1.408)**

Other HCPs (n = 45,736)

897 (1.96)

1.00

1.00

AOR adjusted odds ratio. aAdjusted for age, gender, stroke, hypertension, epilepsy, anxiety, depression, and insomnia

*P < 0.05; **P < 0.001

Table 4

Comparison of migraine risk among physician specialties by unconditional logistic regression analysis

Physician specialists

Number (%)

Crude OR (95 % CI)

AOR (95 % CI)a

Internal medicine (n = 6110)

79 (1.29)

0.914 (0.706–1.183)

0.973 (0.744–1.271)

Surgery (n = 4095)

46 (1.12)

0.793 (0.576–1.090)

0.965 (0.692–1.345)

Obs/Gyn (n = 1978)

15 (0.76)

0.533 (0.316–0.901)*

0.550 (0.323–0.937)*

Pediatrics (n = 2774)

46 (1.66)

1.177 (0.855–1.620)

1.051 (0.756–1.461)

Emergency medicine (n = 479)

5 (1.04)

0.736 (0.302–1.794)

0.681 (0.277–1.672)

Family medicine (n = 2568)

53 (2.06)

1.470 (1.087–1.989)*

1.329 (0.973–1.814)

Other specialties (n = 15,995)

226 (1.41)

1.00

1.00

AOR adjusted odds ratio, Obs/Gyn obstetrics and gynecology. Adjusted for age, gender, stroke, hypertension, epilepsy, anxiety, depression, and insomnia

*P < 0.05

Physician specialists had no significant difference in migraine risk than did other physicians, except for Obs/Gyn physician specialists, who had a significantly lower risk (AOR: 0.550; 95 % CI: 0.323–0.937) (Table 4).

Discussion

This was the first national population-based cohort 5-year study investigating the migraine risk in HCPs. HCPs had a significantly higher migraine risk than did the general population. Among the HCPs, nurses had the highest migraine risk and physicians the second highest; both were significantly higher. Among physician specialties, the only significantly different migraine risk was the lower migraine risk Obs/Gyn specialists.

Previous studies have reported that work stress is related to anxiety, depression, insomnia and hypertension [11, 1921]. Job strain, a key component of work stress, is a measure of the balance between the psychological demands of a job and the amount of control or decision-making power it affords [11]. In addition to job strain, physical demands, job insecurity, and the amount of support provided by co-workers also play roles in the work stress-illness relationship [11]. Workers with high stress have been shown to have higher rates of a wide variety of diseases than their counterparts with low stress [11]. Our study showed that all three subgroups of HCPs had higher risks of anxiety, hypertension (the difference did not reach statistical significance in nurses), and insomnia than did non-HCPs, which was compatible with previous studies. The risk of depression in HCPs was lower than in non-HCPs. The possible explanations may include the differences in the effects of the different components of work stress encountered by HCPs in Taiwan. Further studies are needed to clarify this issue.

Heavy workloads, work stress, shift work, and sleep disturbance were hypothesized to be the causes of higher migraine risk in HCPs. Working in the hospital was highly stressful because HCPs need to deal with unpredictable medical conditions, have excessive workloads and working hours, are exposed to high levels of stress—especially nurses and physicians, and head nurses and specialist physicians most particularly—and are frequently emotionally exhausted [15]. Comprehensive literature reviews reported that a stress-migraine interaction was hypothesized because of the physiological stress response involved in neuroendocrine, metabolic, and immune changes caused by the activation of the hypothalamic-pituitary-adrenocortical axis, and of the sympathetic nervous system [2224]. Moreover, stress elicited the onset of migraine, acted as a migraine trigger [25], and could act as a factor of migraine chronification [26].

Shift work and sleep disturbance were also regarded as potential migraine precipitants in HCPs [27, 28]. HCPs, especially nurses, generally work on rotating shifts or night shifts, which might cause sleep problems like difficulty falling to sleep, sleep deprivation, and poor quality sleep [27]. Our study showed that HCPs had a higher likelihood of insomnia than did the general population, which agrees with other studies. According to the epidemiologic data of nurses, working more than 8 night shifts significantly increased the risk of migraine [17]. The association between sleep and migraine was complicated and involved in various models of interaction. Migraine appeared to be associated with the sleep-wake cycle and other circadian biorhythms [29]. The hypothalamus, serotonin, and melatonin are regulators of the pathophysiology of sleep-migraine interaction [29].

The migraine risks for highly stressed physicians specialized in internal medicine, surgery, pediatrics, and emergency medicine were no higher than those for other specialists. Better awareness of migraine, easier access to self-medication, and less time to seek medical care are possible explanations for this finding [30]. However, the finding of a lower migraine risk in obstetricians and gynecologists warrants additional studies to explore the mechanism.

Migraine may cause substantial productivity losses through absenteeism and impaired effectiveness at work [9]. A study about productivity impact of headache on a heavy-manufacturing workforce showed that a small minority (5.7 %) of those with headache, who were only 2.5 % of the workforce, accounted for >45 % of presenteeism-related lost productivity [9]. Therefore, headache disorders are hugely costly to national economies [9].

Our study has some limitations. First, the NHIRD does not provide detailed information about the severity of migraines, scales of stress, number of shifts worked, levels of workloads, patterns of sleep, or other lifestyle and socioeconomic characteristics, which prevented us from investigating the association between these risk factors for migraine. Additional studies on this topic are warranted. Second, this study showed the cumulative incidence rate of migraine during a 5-year follow-up. A longer follow-up, perhaps 10 or 20 years, is undoubtedly needed if we want to clarify the prevalence of migraine in this population. Finally, our study was a nationwide population-based study of a Taiwanese population; however, it might not be generalizable to HCPs in other nations.

Conclusion

Our findings showed that HCPs in Taiwan had a higher risk of migraine than did the general population. Nurses and physicians were especially vulnerable to migraine. Physician Obs/Gyn specialists had a lower migraine risk than did other physician specialists. Heavy workloads, high work stress, and shift work with sleeping disturbance might be the major precipitating factors of the higher migraine risk in HCPs. These findings not only remind us to raise our awareness of migraine in the healthcare workplace, but also provide important implications for the government and other public health decision makers to set up strategies for dealing with migraine in HCPs.

Notes

Abbreviations

HCPs: 

healthcare professionals

LHID2000: 

Longitudinal Health Insurance Database 2000

NHI: 

National Health Insurance

NHIRD: 

National Health Insurance Research Database

Obs/Gyn: 

obstetrics and gynecology

PER: 

registry of medical personnel

Declarations

Acknowledgments

This study was supported by grant CMFHR10493 from Chi-Mei Medical Center. Our study used data from the Taiwan National Health Insurance Research Database established by the National Health Insurance Administration, Ministry of Health and Welfare, and managed by the National Health Research Institutes (Registered number NHIRD-100-057, NHIRD-102-024). We thank Bill Franke for correcting the English manuscript and invaluable support.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Department of Emergency Medicine, Chi-Mei Medical Center
(2)
Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University
(3)
Department of Child Care and Education, Southern Taiwan University of Science and Technology
(4)
Department of Occupational Medicine, Chi-Mei Medical Center
(5)
Department of Geriatrics and Gerontology, Chi-Mei Medical Center
(6)
Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University
(7)
Department of Biotechnology, Southern Taiwan University of Science and Technology
(8)
Department of Emergency Medicine, Taipei Medical University
(9)
Department of Leisure, Recreation and Tourism Management, Southern Taiwan University of Science and Technology
(10)
Department of Medical Research, Chi Mei Medical Center, Liouying
(11)
Departments of Medical Research, Chi-Mei Medical Center
(12)
Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital

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© Kuo et al. 2015