Headache and stress in a group of nurses and government administrators in Japan

Prevalence of Primary Headache in Nurses in Japan: A Cross-sectional Single-center Study

Objective This study examined the prevalence of migraine in nurses in Japan, which, to our knowledge, has not been documented in English. Methods From April to May 2021, we administered a questionnaire to 229 nurses working at Keio University Hospital to investigate the prevalence and characteristics of headache among nurses in Japan. Headaches were classified as migraine or tension-type headache (TTH) based on the International Classification of Headache Disorders 3rd edition (ICHD-3). Results In total, 80 patients (34.9%) had primary headaches, including 47 (20.5%) with migraine and probable migraine and 33 (14.4%) with TTH and probable TTH. We found a significant difference in the Numerical Rating Scale score, nausea and vomiting, photophobia, phonophobia, and aggravation by routine physical activity between migraine and TTH. The specificities for a migraine diagnosis were 100% and 93.9% for nausea/vomiting and photophobia, respectively. Only 8.8% of patients had their headaches diagnosed by a physician. Conclusion Migraines have a high prevalence (>20%) among nurses and are often under-diagnosed. In many cases, headache-associated symptoms are more important than laterality or other characteristics for the diagnosis. Many nurses are treated for headaches without a correct diagnosis. Further education regarding primary headaches may be necessary for health practitioners as well as society.

Headache Education by E-Learning Through Social Networking Services (Social Media)

Introduction

Headache is a common public health problem, but its burden could be avoided by raising headache awareness and the appropriate use of acute medication and prophylactic medication. Few reports on raising headache awareness in the general public have been reported, and there are no reports on headache awareness campaigns through social networking services (SNS), or social media, in Japan. We prospectively performed a headache awareness campaign from March 2022 through 2 SNS, targeting nurse and wind instrumental musicians, because they are with high headache prevalence.

Methods

Through the 2 SNS, the article and video were distributed, respectively. The article and video described the 6 important topics for the general public about headaches, which were described in the Clinical Practice Guideline for Headache Disorders 2021. Just after reading or watching them as e-learning, we performed online questionnaire sheets to investigate the awareness of the 6 topics through the 2 SNS. The awareness of the 6 topics before and after the campaign was evaluated.

Results

In the SNS nurse-senka, we obtained 1191 responses. Women comprised 94.4%, and the median (range) age was 45 (20 to 71) years old. Headache sufferers were 63.8%, but only 35.1% had consulted doctors. In the SNS Creatone, we got the response from 134 professional musicians, with 77.3% of women. The largest number of respondents were in their 20s (range 18-60 years old). Headache sufferers were 87.9%. Of them, 36.4% had consulted doctors, 24.2% were medication-overuse headache. The ratios of individuals who were aware of the 6 topics significantly increased from 15.2%-47.0% to 80.4-98.7% after the online questionnaire in both SNS (p < 0.001, all).

Conclusion

E-learning and online survey via SNS can improve headache awareness.

Developing an Artificial Intelligence-Based Pediatric and Adolescent Migraine Diagnostic Model

Introduction Misdiagnosis of pediatric and adolescent migraine is a significant problem. The first artificial intelligence (AI)-based pediatric migraine diagnosis model was made utilizing a database of questionnaires obtained from a previous epidemiological study, the Itoigawa Benizuwaigani Study. Methods The AI-based headache diagnosis model was created based on the internal validation based on a retrospective investigation of 909 patients (636 training dataset for model development and 273 test dataset for internal validation) aged six to 17 years diagnosed based on the International Classification of Headache Disorders 3rd edition. The diagnostic performance of the AI model was evaluated. Results The dataset included 234/909 (25.7%) pediatric or adolescent patients with migraine. The mean age was 11.3 (standard deviation 3.17) years. The model's accuracy, sensitivity (recall), specificity, precision, and F-values for the test dataset were 94.5%, 88.7%, 96.5%, 90.0%, and 89.4%, respectively. Conclusions The AI model exhibited high diagnostic performance for pediatric and adolescent migraine. It holds great potential as a powerful tool for diagnosing these conditions, especially when secondary headaches are ruled out. Nonetheless, further data collection and external validation are necessary to enhance the model's performance and ensure its applicability in real-world settings.

Sleep quality and its predictors among hospital-based nurses: a cross-sectional study

PURPOSE

Sleep disorders are common among nurses and may have negative effects on their performance and well-being. This study aimed to investigate the level of sleep quality and its possible associated factors among hospital-based nurses in Jordan.

METHODS

A cross-sectional design targeting Jordanian hospital-based nurses. In addition to demographics and work habits, the outcome measures included Pittsburgh Sleep Quality Index (PSQI), Nordic Musculoskeletal Questionnaire (NMQ), and Depression Anxiety Stress Scale (DASS). Data were analyzed descriptively and by a multiple variable linear regression analysis to identify predictors of sleep quality.

RESULTS

In total, 597 nurses with a mean age of 32.1 (± 5.7) years participated in this study and 47% were men. PSQI mean score was 7.8 (± 3.7) and 68% of the participants showed sleep quality deficits. Stress (β = 0.15 [95%CI 0.13 to 0.19, P < 0.001), depression (β = 0.05 [95%CI 0.009 to 0.08], P = 0.015), the number of joints with 12 months musculoskeletal pain (β = 0.25 [95%CI 0.15 to 0.36], P < 0.001) positively predicted decreased sleep quality. Manual handling training (β = - 0.48 [95%CI -0.96 to 0.003], P = 0.048) and years of experience (β = - 0.05 [95%CI -0.09 to 0.002], P = 0.039) negatively predicted decreased sleep quality.

CONCLUSIONS

Nurses reported poor levels of sleep quality, high levels of mental health symptoms, and musculoskeletal pain complaints. Sleep quality among nurses and its predictors should be carefully considered by administrations of healthcare services.

Prevalence and associated factors of musculoskeletal disorders among Chinese healthcare professionals working in tertiary hospitals: a cross-sectional study

BACKGROUND

Musculoskeletal disorders (MSDs) are prevalent in working populations and could result in a number of detrimental consequences. In China, healthcare professionals (HCP) in large hospitals may be likely to suffer from MSDs considering the facts of shortages in medical staff, the large Chinese population base, the aging of the population and patients' inclination to go to large hospitals. This study aimed to determine the prevalence and factors associated with MSDs among HCP working in tertiary hospitals.

METHODS

A self-administered questionnaire incorporating the Nordic Musculoskeletal Questionnaire and the Dutch Musculoskeletal Questionnaire was conducted among 14,720 HCP in eight tertiary hospitals selected by random cluster sampling in Shandong, China. Multivariable logistic regression analysis was used to quantify the association of psychological, ergonomic, organizational and individual factors with MSDs.

RESULTS

The 12-month period prevalence rate of experiencing an MSD in at least one body region for at least 24 h, experiencing an MSD for at least three months, and seeking health care for this condition were 91.2, 17.1 and 68.3%, respectively; these rates were highest for the lower back (72.8, 14.3, 60.3%) and knees (65.7, 8.1, 46.7%), followed by the shoulders (52.1, 6.2, 38.9%), neck (47.6, 4.8, 32.6%), wrists/hands (31.1, 3.2, 23.1%), ankles/feet (23.6, 1.9, 13.4%), upper back, hips/thighs and elbows. MSDs were associated with workload (work hours per week, break times during workday), psychological factors (psychological fatigue, mental stress), employment status and ergonomic factors. Regarding the ergonomic factors, lower back MSDs were associated with bending the trunk frequently, heavy or awkward lifting, and bending or twisting the neck; knee MSDs were associated with walking or standing for long periods of time; and shoulder MSDs were associated with maintaining shoulder abduction for long periods of time and bending or twisting the neck.

CONCLUSIONS

MSDs among HCP in tertiary hospitals in Mainland China were highly prevalent. The many factors listed above should be considered in the prevention of MSDs in HCP.

Sleep disturbances among Chinese clinical nurses in general hospitals and its influencing factors

BACKGROUND

This study aimed to determine the prevalence of sleep disturbances among clinical nurses in general hospitals in Mainland China, and identify its associate factors.

METHODS

Using a cross-sectional design, a total of 5012 clinical nurses selected by random cluster sampling completed the survey on the Pittsburgh Sleep Quality Index (PSQI), measures of quality of life indexed by the Medical Outcomes Study 12-item Short-Form Health Survey, occupational stress evaluated by the Job Content Questionnaire, lifestyle and sociodemographic details.

RESULTS

The average PSQI score of 4951 subjects was 7.32 ± 3.24, including 3163 subjects with PSQI ≥5, accounting for 63.9%. Multivariate Logistic regression analysis showed that the risk factors for sleep disturbances in nurses were female gender, the Emergency department and ICU, many years of service, high night shift frequency, professional status: primary and intermediate, employment status: temporary, poor quality of life: poor mental health, low perceived health, high occupational stress (high psychological demand, low job control and low workplace social support).

CONCLUSIONS

Sleep disturbances are highly prevalent among clinical nurses in general hospitals in Mainland China. Many of the factors listed above were associated with the prevalence of sleep disturbances in nurses, and occupational stress plays an important role in the development of sleep disturbances in Chinese clinical nurses.

Changing Headache from Preschool Age to Puberty. A Controlled Study

The characteristics of disturbing primary headache and the occurrence of headache types were studied by sending a questionnaire to 1132 Finnish families of 6-year-old children. Children with headache in the preceding 6 months and their controls were clinically examined at the ages of 6 and 13. During the follow-up, half of the headaches, classified as migraine at age 6 years, were unchanged and 32% turned into tension-type headache. In children with tension-type headache, the situation was unchanged in 35%, and in 38% of children the headache type had changed to migraine. At preschool age the most common location of headache was bilateral and supraorbital, and at puberty bilateral and temporal. During the follow-up, symptoms concurrent with headache, such as odour phobia, dizziness and balance disturbances became more typical, whereas restlessness, flushing and abdominal symptoms became less marked. The early manifestation of both migraine and tension-type headache predict equally often migraine in puberty with marked changes in concurrent symptoms and pain localization.

Comorbidity of poor sleep and primary headaches among nursing staff in north China

BACKGROUND

Sleep disorders and primary headaches are both more prevalent among nursing staff than in the general population. However, there have been no reports about the comorbidity of poor sleep and primary headaches among nursing staff.

METHODS

Stratified random cluster sampling was used to select 1102 nurses from various departments in three hospitals in north China. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). The diagnosis of primary headaches including migraine, tension-type headache (TTH), and chronic daily headache (CDH) was based on the International Classification of Headache Disorders, 3rd edition (beta version) (ICHD-3-beta).

RESULTS

The response rate was 93 %. Among 1023 nurses, the prevalence of poor sleep was 56.7 %. Of these, 315 nurses (34.13 %) had poor sleep comorbid with primary headaches. The prevalence of poor sleep in the groups with CDH (82.1 %), migraine (78.9 %), and TTH (59.0 %) was significantly higher than that in the group without headaches (47.3 %) (all P < 0.05). Multivariate logistic regression revealed that rotating shifts and suffering headache were independent risk factors for poor sleep. Also, the 1-year prevalence of the three types of primary headache was significantly increased in the poor sleep group (migraine: 21.2 % vs. 7.2 %; TTH: 27.9 % vs. 24.9 %; CDH: 4.1 % vs. 1.1 %; P < 0.05). Compared with normal sleepers, nurses with poor sleep were 1.72 times more likely to have severe headache (OR: 1.72, 95 % CI: 1.14-2.57).

CONCLUSION

Comorbidity of poor sleep and primary headaches among nursing staff is common. Therefore, sleep quality should be carefully evaluated in nurses with primary headaches.

The prevalence of primary headache disorders and their associated factors among nursing staff in North China

Background

Epidemiological data on the prevalence of headache in nursing staff in Mainland China are lacking. We therefore performed a study to assess the prevalence of headache, and factors associated with headaches, in nursing staff in three hospitals in North China.

Methods

Stratified random cluster sampling was used to select 1102 nurses from various departments in three hospitals. A structured questionnaire was used to collect epidemiological data, headache characteristics and associated factors.

Results

The response rate was 93.0%. Among nursing staff, the 1-year prevalence of primary headache disorders was 45.3%, of migraine 14.8% (migraine with aura 3.4%, migraine without aura 11.4%), of tension-type headache (TTH) 26.2%, of chronic daily headache (CDH) 2.7%. Multivariate analysis showed that seniority (≥5 years) was a risk factor for migraine (OR 2.280), obesity (BMI ≥ 25) was a risk factor for TTH and CDH (OR 1.684 and 3.184), and age (≥40 years) was a risk factor for CDH (OR 8.455). Nurses working in internal medicine were more likely to suffer CDH than those in other departments. Working a greater number of night shifts was also associated with increased prevalence of headache.

Conclusion

The prevalence of primary headache disorders in nurses is higher than that in the general population in China, and occupational factors may play an important role. Therefore, the prevalence of headache in nurses should be a focus of attention, and coping strategies should be provided. Such measures could contribute to improving patient care.

[Headache incidence in a hospital community]

The purpose was to describe the main features of headache incidence in a hospital community, its frequency and the most requested medical investigation. Due to the stressful work environment, hospital is considered to hold a high-risk population. Interviews and questionnaires were utilized. Of a 1006 files, which were randomly filled out, 987 could be analyzed. Of all, 38.5% were from headache sufferers. By using a table of pain symptoms taken from the International Headache Society classification as a pattern, headaches were assigned as migraine, tension-type and other. The mean age was 31.18 and the frequency in females was higher than in males, at any type. Family occurrence in first-degree relatives was 76.8%. Frontal location, medium intensity and pulsation were the most described features. Stress was the most frequently mentioned trigger factor. A physician was consulted only by 41.3%. Cranium X-ray was the most frequently requested exam.