Association between work-related musculoskeletal symptoms and quality of life among dental students: a cross-sectional study

The influence of sociodemographic and health-related factors, clinical education status, and sleep quality on work-related quality of life among dental students

INTRODUCTION

With the premise that the demanding educational process and associated factors could influence the work-related quality of life (WRQoL) of dental students, this study aimed to investigate the influence of diverse sociodemographic and health-related factors, clinical education status, and sleep quality on the WRQoL of dental students.

MATERIALS AND METHODS

A three-part questionnaire was administered to a group of preclinical and clinical dental students studying in different classes. The first part of the questionnaire included various sociodemographic and health-related questions. In the second part, the multidimensional 23-item WRQoL scale, with established validity and reliability, was applied to evaluate the WRQoL of the students. The last part of the questionnaire included the Pittsburgh Sleep Quality Index, comprising 19 items. General linear models were created to predict subscale scores using sociodemographic and health-related characteristics, as well as univariate significant independent variables.

RESULTS

It was observed that the majority of the participants (78.2%) had poor sleep quality. Being clinical dental students had a significant and positive effect on the stress at work domain of WRQoL (p = .006), while it had a significant and negative effect on the home-work interface domain (p < .001). The decrease in sleep quality had a significant and negative effect on all domains of WRQoL (p < .05) except for the stress at work domain.

CONCLUSIONS

Clinical education status, regular smoking, and sleep quality significantly affect different domains of dental students' WRQoL. Changes in these factors should be considered in approaches to increasing students' WRQoL.

Wearables for Monitoring and Postural Feedback in the Work Context: A Scoping Review

Wearables offer a promising solution for simultaneous posture monitoring and/or corrective feedback. The main objective was to identify, synthesise, and characterise the wearables used in the workplace to monitor and postural feedback to workers. The PRISMA-ScR guidelines were followed. Studies were included between 1 January 2000 and 22 March 2023 in Spanish, French, English, and Portuguese without geographical restriction. The databases selected for the research were PubMed®, Web of Science®, Scopus®, and Google Scholar®. Qualitative studies, theses, reviews, and meta-analyses were excluded. Twelve studies were included, involving a total of 304 workers, mostly health professionals (n = 8). The remaining studies covered workers in the industry (n = 2), in the construction (n = 1), and welders (n = 1). For assessment purposes, most studies used one (n = 5) or two sensors (n = 5) characterised as accelerometers (n = 7), sixaxial (n = 2) or nonaxialinertial measurement units (n = 3). The most common source of feedback was the sensor itself (n = 6) or smartphones (n = 4). Haptic feedback was the most prevalent (n = 6), followed by auditory (n = 5) and visual (n = 3). Most studies employed prototype wearables emphasising kinematic variables of human movement. Healthcare professionals were the primary focus of the study along with haptic feedback that proved to be the most common and effective method for correcting posture during work activities.

Development, validation and implementation of the medical affairs pharmaceutical physician work-related quality of life instrument

BACKGROUND

Medical affairs pharmaceutical physicians (MAPPs) are at risk for low work-related quality of life (WRQoL). The aim of this study was to develop, validate and implement the first WRQoL instrument for this population.

METHODS

A prospective observational cohort clinical study, the Medical Affairs Pharmaceutical Physician Work-related Quality of Life (MAPPWrQoL) Instrument Development and Patient Registry (MAPPWrQoLReg), was registered in November 2021 (NCT05123846). Thirteen MAPPs and 12 non-MAPPs participated in development and validation between December 2021 and January 2022. Development used the Jandhyala method for observing proportional group awareness and consensus. Discriminant validity analysis used the WRQoL Scale as a reference standard and assessed whether the instrument could differentiate between the groups. Twelve MAPPs and 12 non-MAPPs self-reported their WRQoL in the registry each month from February 2022. Recruitment and data collection are ongoing; 6-month data between February 2022 and August 2022 are reported here.

RESULTS

Two participants were excluded from the registry. Chi-squared analysis showed a significant difference between the MAPPWRQoL instrument and WRQoL Scale (p = 1.029e-08) with acceptable sensitivity (89.19%) and specificity (75.00%). There were significant between-group differences for total scores at each follow-up (p = .003; n = 6 questions). Chi-squared analysis showed a significant difference between MAPPs' and non-MAPPs' ability to answer MAPPWRQoL instrument items (p = .002629), with acceptable sensitivity (91.9%) and near-acceptable specificity (66.7%). MAPPs' WRQoL did not change significantly over 6 months.

CONCLUSION

Discriminant validity of the 39-item MAPPWRQoL instrument was confirmed. The Jandhyala method successfully developed and validated a specific WRQoL instrument and may be applied to similar populations, such as junior doctors and UK general practitioners.

The association between adverse ergonomic factors and work-related musculoskeletal symptoms among medical staff in China: a cross-sectional study

We investigated the prevalence of work-related musculoskeletal symptoms (WMSs) among medical staff and evaluated the associations of different levels of adverse ergonomic factors with WMSs. A total of 6099 Chinese medical staff were asked to complete a self-reported questionnaire to assess the prevalence and risk factors of WMSs from June 2018 to December 2020. A prevalence rate of 57.5% was observed for WMSs among overall medical staffs, which mainly affected the neck (41.7%) and shoulder (33.5%). 'Keeping sitting for long hours very frequently' (OR = 1.26, 95% CI: 1.04, 1.53) was positively associated with WMSs in doctors, while 'keeping sitting for long hours occasionally' (OR = 0.91, 95% CI: 0.85, 0.97) was identified as a protective factor of WMSs in nurses. The associations of adverse ergonomic factors, organisational factors, and environmental factors with WMSs were different among medical staff in different positions.Practitioner summary: We conducted a multi-city study concerning the risk factors of WMSs by carrying out a face-to-face one-to-multiple questionnaire survey among medical staff in China. As a risk factor of WMSs in medical staff, adverse ergonomic factors should be paid more attention by the standard setting department and policy makers.Abbreviations: WMSDs: work-related musculoskeletal disorders; WMSs: work-related musculoskeletal symptoms; MSDs: musculoskeletal disorders; NMQ: Nordic Musculoskeletal Questionnaires; DMQ: Dutch Musculoskeletal Questionnaires; NIOSH: National Institute for Occupational Safety and Health; ORs: odds ratios.

Musculoskeletal system problems in office workers: relationship of physical activity levels and quality of life

Objectives. This study aimed to determine the relationship between musculoskeletal problems in office workers and their physical activity levels and quality of life. Methods. A questionnaire form, the quality of life scale (SF-36) and the international physical activity questionnaire (IPAQ) were used. Group differences were compared post hoc (Bonferroni) and non-parametrically (Mann-Whitney U test, etc.). Results. Among the participants, 81.7% experienced pain in at least one body area. Back pain was experienced most frequently at a rate of 54.8%, followed by neck and shoulder pain, respectively. According to the participants' physical activity levels, 58.5% (n = 141) were active, 37.3% (n = 90) were less active and 4.1% (n = 10) were very active. There was a significant relationship between the prevalence of musculoskeletal disorders (MSDs) among the participants and the participants' age, educational status, income status, regular exercise status, duration of computer use, eye complaints, complaints in the wrists and ergonomic chair use. Conclusion. The prevalence of MSDs was determined to be high in the office workers, while their levels of physical activity were found low. Training and exercises are needed to prevent MSDs in office workers and improve their levels of physical activity and quality of life.