scholarly journals Work ability and productivity among dentists: associations with musculoskeletal pain, stress, and sleep

2019 ◽  
Vol 93 (2) ◽  
pp. 271-278 ◽  
Author(s):  
Susanna Marklund ◽  
Christina S. Mienna ◽  
Jens Wahlström ◽  
Erling Englund ◽  
Birgitta Wiesinger
Keyword(s):  
Gender Differences ◽  
Sleep Quality ◽  
Musculoskeletal Pain ◽  
Work Ability ◽  
Productivity Loss ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Work Ability Index ◽  
Work Related ◽  
Site Pain

Abstract Purpose Work ability can be measured by the work ability index (WAI), and work-related questions measuring productivity loss in terms of quality and quantity of work. Dentists have high occupational risk of musculoskeletal pain and the exposure of ergonomic strain is already high during dental education. The aim was to evaluate work ability and productivity among dentists, and to identify gender differences and associations with sleep, stress, and reported frequent pain. Methods The study population comprised 187 dentists (123 women and 64 men) who had been working as dentists between 5 and 12 years. Participants completed a questionnaire regarding sleep, stress, presence of pain at different sites, work ability assessed by WAI, and productivity in terms of quality and quantity of work. Results Poor sleep quality and high level of stress were reported by 31% and 48.1% of participants, respectively, with no gender differences and no association with age. The prevalence of frequent pain ranged 6.4–46.5% with shoulders being the most prevalent site. Thirty-three percent reported reduced work ability. Poor sleep, high amount of stress, and multi-site pain were associated with decreased work ability. Conclusions A high prevalence of pain was shown among dentists. Decreased work ability in terms of productivity loss was associated with poor sleep quality, high amount of stress, and multi-site pain. Preventive actions at the workplace should promote good musculoskeletal health, and measures taken, both individual and organizational, to minimize the risk of high, persistent stress and work-related pain.

scholarly journals Poor sleep quality in patients with multiple sclerosis: gender differences

2016 ◽  
Vol 6 (11) ◽  
pp. e00553 ◽  
Author(s):  
Marianna Vitkova ◽  
Jaroslav Rosenberger ◽  
Zuzana Gdovinova ◽  
Jarmila Szilasiova ◽  
Pavol Mikula ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Gender Differences ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality

The Effect of Shift Fluctuations on Sleep Quality among Nurses Working in the Emergency Room in Amman, Jordan

2020 ◽  
Vol 10 (1) ◽  
pp. 11-17
Author(s):  
Khaled Suleiman ◽  
Tarek Al-Khaleeb ◽  
Mahmoud Al-Kaladeh ◽  
Loai Abu Sharour
Keyword(s):  
Sleep Quality ◽  
Emergency Room ◽  
Work Performance ◽  
Poor Sleep ◽  
Emergency Rooms ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Public And Private ◽  
Work Related ◽  
The Impact

Introduction: Sleep Quality disturbances are common among nurses especially those working in stressful situations such as emergency room. Additionally, sleep quality disturbances were found to interfere with nurses’ quality of life and work performance. No studies have found the effect of fluctuated shifts on sleep quality among nurses. Objectives: To examine the impact of shift fluctuations on sleep quality among nurses working in the emergency room. Methods: A cross-sectional, descriptive design was employed. Five emergency rooms were selected from public and private hospitals located in Amman, Jordan. The selected hospitals were also referral sites with capacity of more than 200 beds. A convenient sample of nurses who had a minimum of six months experience in the emergency room and working on rotating shifts were eligible for participation. Nurses with known chronic respiratory problems and sleep apnea were excluded. A self-administered questionnaire including a demographic and work-related questions, and the Arabic version of the Pittsburgh Sleep Quality Index were provided. Shift fluctuations were clustered based on interchanging between morning, evening and night shifts. Results: A total of 179 emergency nurses working in rotating shifts participated in the study. The majority of the nurses were poor sleepers. The study found no significant differences between different shifts interchange and sleep quality. However, interchange between morning and evening shift reported the highest sleep disturbance. Sleep quality was positively correlated with the length of experience, while negatively correlated with the age and the number of monthly shifts. Nurses who declared higher satisfaction and ability to work under pressure revealed better sleep quality. Conclusion: Emergency room nurses showed poor sleep quality. While there was no specific shift interchange cluster inducing poor sleep quality, some demographical and work-related characteristics indicated their influence on sleep quality.

Effect of job and individual factors on Work Ability Index (WAI) in a dairy company

2016 ◽  
pp. 34-39
Author(s):  
Haji Omid Kalte
Keyword(s):  
Sleep Quality ◽  
Work Ability ◽  
Job Insecurity ◽  
Statistical Analyses ◽  
Work Ability Index ◽  
Related Factors ◽  
Cross Sectional ◽  
Work Related ◽  
Ability Index ◽  
The Mean

Abstract Background: The work ability index (WAI) is one the most widely used instruments for measuring perceived work ability. However, very few studies have used this instrument in Iran. The present study is designed to assess effect of individual and work-related risk factors on the WAI in one dairy factory. Methods: This cross-sectional study was designed among 117 workers. Work ability was measured by the Persian versions of Work Ability Index (P-WAI). An author-developed measure was used to assess individual and work-related factors. All Statistical analyses were performed using IBM SPSS Statistics 21 (USA, SPSS Inc.). Results: The mean age of participants was 32.38 ± 7.3 and the Mean score of the WAI was 44.92 ± 5.56. According to the categorical classification of WAI score, 10.9, 35.6, and 53.5 % of participants had moderate, good and excellent work ability, respectively. The results of statistical analyses showed that mean WAI significantly differed with age (0.049), sleep quality (p= 0.035) and employment status (p= 0.014). Conclusion: To improve the workers’ work ability, intervention programs should focus on improving sleep quality and exercise. Also, we suggest that increasing job insecurity should be considered an important intervention in promoting worker’s work ability. Keywords: Work Ability Index (WAI), Sleep Quality, Job Insecurity

Association of musculoskeletal pain with poor sleep quality in public school teachers

Work ◽  
2020 ◽  
Vol 65 (3) ◽  
pp. 599-606
Author(s):  
Jefferson M. de Souza ◽  
Rafael Z. Pinto ◽  
William R. Tebar ◽  
Fernanda C.S. Gil ◽  
Leandro D. Delfino ◽  
...  
Keyword(s):  
Public School ◽  
Sleep Quality ◽  
Musculoskeletal Pain ◽  
Poor Sleep ◽  
Public School Teachers ◽  
Poor Sleep Quality ◽  
School Teachers

scholarly journals Sleep quality among industrial workers: related factors and impact

2019 ◽  
Vol 33 (2) ◽  
pp. 119-126 ◽  
Author(s):  
Wanpen Songkham ◽  
Jirawan Deeluea ◽  
Benjamas Suksatit ◽  
Jindarat Chaiard
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Multivariable Logistic Regression Analysis ◽  
Poor Sleep ◽  
Work Characteristics ◽  
Industrial Workers ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Content Type ◽  
Work Related

Purpose The purpose of this paper is to explore the prevalence and determinants of poor sleep quality among industrial workers in Thailand. Additionally, the authors assess the risk of work-related injuries associated with poor sleep quality. Design/methodology/approach A descriptive correlational research was implemented. A total of 472 workers from the northern region of Thailand contributed to this study. Sleep quality was assessed by the Thai version of the Pittsburgh Sleep Quality Index (Thai-PSQI). The score of more than five indicated poor sleep quality. Participants completed self-administered demographic, work characteristics and work-related injury questionnaires. Data were analyzed by applying descriptive and logistic regression statistical techniques. Findings More than one-third of the workers had reported poor sleep quality. Results from multivariable logistic regression analysis yielded male gender (OR = 2.74, 95% CI 1.46–5.17), alcohol drinking (OR=2.1, 95% CI 1.24–3.35), pain (OR=2.05, 95% CI 1.32–3.17) and rotating shift work (OR=1.94, 95% CI 1.23–3.05) increased the risk of poor sleep quality. Furthermore, poor sleep quality was statistically significantly associated with the risk of work-related injuries (OR = 3.98, 95% CI = 2.39–6.66). Originality/value Findings of this study indicate that the prevalence of poor sleep quality is high among industrial workers. Work characteristics and health behaviors were associated with poor sleep quality which increases the risk of work-related injuries. Modification of work environment and personal life style choices can improve quality of sleep among workers and consequently lower incidence of work-related injuries.

Poor sleep quality and its relationship to attentional-executive dysfunctioning in depressive inpatients

2017 ◽  
Author(s):  
B Kundermann ◽  
S Fockenberg ◽  
M Müller ◽  
N Cabanel
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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