Vitamin D contains 2 related fat-soluble substances, D3 and D2, that are essential for bone health and overall well-being. The burden of vitamin D deficiency within the active component of the armed forces is unknown. This study describes trends of vitamin D deficiency diagnoses in the active component of the U.S. Armed Forces. Risk factors for vitamin D, such as military occupation, were examined to see if preventive measures and targeted vitamin D screening would be beneficial, as the United States Preventive Task Force does not recommend universal screening for vitamin D, nor does TRICARE cover screening for asymptomatic individuals. The surveillance period covered January 1, 2018 through December 31, 2022. The data were derived from the Defense Medical Surveillance System (DMSS). Vitamin D deficiency was measured using ICD-9-CM and ICD-10-CM diagnoses recorded in inpatient and outpatient medical encounters. Incidence rate and average annual prevalence were calculated. A logistic regression was performed to obtain adjusted odds ratios. The rates of vitamin D deficiency diagnoses among active component service members (ACSMs) remained steady during the study period, with an incidence rate of 16.4 per 1,000 person-years and an average annual prevalence of 2.2%. Female service members, those of older age groups, and indoor workers demonstrated higher rates of vitamin D deficiency. Previously described demographic risk factors such as indoor work and history of obesity or malabsorption syndrome were also associated in this study with vitamin D deficiency in ACSMs, although older age groups in this study were not associated with vitamin D deficiency. Pilots and air crew had the lowest rates of vitamin D deficiency, while health care workers had the highest, when evaluating by occupation.

OBJECTIVE: A growing body of research indicates a correlation between occupational exposure, particularly among individuals in driving-related occupations, and the incidence of low back pain (LBP).
METHODS: Databases were systematically searched, including PubMed, Embase, Web of Science, Cochrane Library, and SinoMed, from their inception through December 2023 for relevant studies of the prevalence and risk factors of LBP among professional drivers. Subsequent meta-analyses were performed utilizing Stata 17.0 and RevMan 5.4 software, while risk factor indicators were assessed using the Grading of Recommendations, Assessment, Development and Evaluation evidence quality grading system.
RESULTS: A systematic review and meta-analysis comprising 19 studies involving 7,723 patients indicated that the incidence of LBP among drivers was 39% (95% confidence interval [CI] 0.20-0.57) in the past 7 days and 53% (95% CI 0.43-0.63) in the past 12 months. A subgroup analysis revealed a prevalence of 48% (95% CI 0.33-0.64) in 2005-2015 and 56% (95% CI 0.42-0.70) in 2016-2023. Among the identified factors, robust evidence highlighted age ≥ 41 years (odds ratio [OR] = 2.10; 95% CI 1.36-3.24; P = 0.0008), alcohol consumption (OR = 1.75; 95% CI 1.31-2.34; P = 0.0001), sleeping < 6 h/night (OR = 1.60; 95% CI 1.13-2.24; P = 0.007), uncomfortable seating (OR = 1.71; 95% CI 1.23-2.36; P = 0.001), improper driving posture (OR = 2.37; 95% CI 1.91-2.94; P < 0.00001), and manual handling (OR = 2.23; 95% CI 1.72-2.88; P < 0.00001) as significant risk factors for LBP. There was moderate evidence of a lack of exercise (OR = 1.78; 95% CI 1.37-2.31; P < 0.0001), working > 10 h/day (OR = 2.49; 95% CI 1.89-3.28; P < 0.00001), > 5 years\' driving experience (OR = 2.12; 95% CI 1.66-2.69; P < 0.00001), a lack of back support (OR = 1.81; 95% CI 1.25-2.62; P = 0.002), high work-related pressure (OR = 2.04; 95% CI 1.59-2.61; P < 0.00001), and job dissatisfaction (OR = 1.57; 95% CI 1.23-2.01; P = 0.0003) as moderate risk factors. There was no evidence of body mass index or smoking as risk factors for LBP among professional drivers.
CONCLUSIONS: The current evidence indicates an increasing annual trend in the prevalence of LBP among professional drivers. Factors including age ≥ 41 years, alcohol consumption, and sleeping < 6 h/night were among the 12 influential factors contributing to LBP in professional drivers. Enhancing awareness of these factors and formulating targeted preventive strategies may be beneficial.

BACKGROUND: Active back-support exoskeletons are gaining more awareness as a solution to the prevalence of work-related musculoskeletal disorders in the construction industry. This study aims to understand the factors that influence the adoption of active back-support exoskeletons in the construction industry.
METHODS: A literature review was conducted to gather relevant adoption factors related to exoskeleton implementation. Building on the TOE (Technology, Organization, and Environment) framework, two rounds of the survey via the Delphi technique were administered with 13 qualified industry professionals to determine the most important adoption factors using the relative importance index. Through semi-structured interviews, the professionals expressed their perspectives on the impact of active back-support exoskeletons on the construction industry.
RESULTS: Important factors included 18 facilitators and 21 barriers. The impact of the exoskeletons in the construction industry was categorized into expected benefits, barriers, solutions, adjustment to technology, implementation, and applicable tasks.
CONCLUSIONS: This study identified the factors to be considered in the adoption and implementation of active back-support exoskeletons in the construction industry from the perspective of stakeholders. The study also elucidates the impact of active exoskeletons on construction organizations and the broader environment.
CONCLUSIONS: This study provides useful guidance to construction companies interested in adopting active back-support exoskeletons. Our results will also help manufacturers of active back-support exoskeletons to understand the functional requirements and adjustments required for utilization in the construction industry. Lastly, the study expands the application of the TOE framework to the adoption of active back-support exoskeletons in the construction industry.

BACKGROUND: Industrial workers with physically demanding work have increased risk of musculoskeletal pain. The present 12-week Goldilocks Work intervention aimed to organize work among industrial workers to comprise a \'just right\' ergonomic balance of physical behaviors (i.e., sit, stand and active) intended to promote musculoskeletal health. The paper investigates the effectiveness of the intervention in reducing low back pain after work.
METHODS: 83 workers across 28 workteams in a biotech organization were recruited. Workteams were randomly allocated to receive the intervention or work as usual (control). Intervention workteams implemented the Goldilocks Work planning tool to organize their work tasks towards a predefined \'just right\' ergonomic balance (i.e., composition of 60% sitting, 30% standing, 10% active work and hourly task alternation). The primary outcome was low back pain intensity. Secondary outcomes were bodily pain, fatigue, physical exertion, productivity and energy after work measured in the survey, and composition and alternations of physical behaviors measured using wearable sensors.
RESULTS: The intervention was delivered almost as planned, with good quality and high adherence among most workteams. However, the intervention did not change physical behaviors towards the intended \'just right\' ergonomic balance. No significant reduction in low back pain (0.07, CI 95%: -0.68; 0.82), bodily pain (0.10, CI 95%: -0.57; 0.76), tiredness (-0.53, CI 95%: -1.24; 0.19), physical exertion (-0.18, CI 95%: -0.83; 0.48), or improvement in energy (0.39, CI 95%: -1.02; 0.23) or productivity (-0.03, CI 95%: -0.77; 0.72) were found.
CONCLUSIONS: This Goldilocks Work intervention did not promote musculoskeletal health among industrial workers and did not change physical behaviors as intended. Thus, more research is needed into implementation strategies to change physical behaviors during productive work towards an evidence-based \'just right\' ergonomic balance.

BACKGROUND: Diseases and conditions related to the respiratory system contribute to work-related morbidity, mortality, and disability. Details on the causes and nature of work-related respiratory disease and the specific industries in which they occur are limited. This study identifies respiratory-related claims in the Ohio Bureau of Workers\' Compensation (OHBWC) system and describes claim and worker characteristics to inform public health surveillance.
METHODS: We developed a list of respiratory-related International Classification of Diseases Clinical Modification (ICD-CM) diagnosis codes and searched over 2 million claims filed between 2001 and 2018 in the OHBWC system for at least one of these codes. The claim characteristics, rates of claims by employer industry classification, and causes of claims from narrative text were determined for these respiratory-related claims.
RESULTS: Among the 23,015 respiratory-related claims (5.8 per 10,000 full-time equivalents [FTE]), 54.6% had at least one ICD-CM code for Allergic Reactions and 30.6% had at least one code for Toxic Effects of Substances Chiefly Non-medicinal as to Source. Claim causes from narrative text included Chemical Exposure (30.3%), Activity Suggesting Exposure (24.4%), and Vapors, Gases, Dusts, or Fumes (VGDF) Exposure (19.3%). The highest overall rates of respiratory-related claims among private employers were for the agriculture, forestry & fishing (11.4 per 10,000), public safety (ambulance services) (11.3), and manufacturing (10.7) industry sectors.
CONCLUSIONS: Respiratory-related claims in the OHBWC system were often acute in nature and included allergic reactions. Narratives from these claims provide insight into the work-related exposures and events causing claims or the disease and symptom factors surrounding claims.

BACKGROUND: Flight attendants face various risk factors in their working environments, particularly occupational exposure to cosmic radiation. This study aimed to assess cancer risk among air transportation industry workers, including flight attendants, in Korea by constructing a cohort using national health registry-based data and analyzing cancer incidence risk.
METHODS: We used the Korea National Health Insurance Service database from 2002 to 2021 to construct a cohort of 37,011 workers in the air transportation industry. Cancer incidence was defined using the tenth version of the International Classification of Diseases. We calculated the age- and sex-specific standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) by applying the cancer incidence rate of the general population between 2002 and 2019.
RESULTS: Approximately 5% of the cohort developed cancer. Overall, the cancer incidence in the cohort was similar to or lower than that of the general population, with the SIRs for all cancers being lower. However, significantly higher SIRs were observed for nasopharyngeal cancer (SIR, 3.21; 95% CI, 1.71-5.48) and non-Hodgkin lymphoma (SIR, 1.57; 95% CI, 1.02-2.32) in male workers and breast and genital cancer (SIR, 1.51; 95% CI, 1.34-1.70) and thyroid cancer (SIR, 1.25; 95% CI, 1.05-1.47) in female workers.
CONCLUSIONS: The lower overall cancer incidence among air transportation industry workers observed in this study could indicate the \"healthy worker effect\"; however, the incidences of certain cancers were higher than those in the general population. Given that these workers are exposed to multiple occupational and lifestyle-related risk factors, including cosmic radiation, further studies are necessary to determine radiation-induced cancer risk while considering potential confounding factors.

OBJECTIVE: to analyze the effectiveness of auriculotherapy for decreasing anxiety and stress of perioperative nursing professionals.
METHODS: mixed methods research, embedded experimental model. In the quantitative stage, a randomized, triple-blind clinical trial was conducted with perioperative nursing professionals, who answered a characterization questionnaire, the List of Signs and Symptoms of Stress, and the General Anxiety Disorder-GAD 7. The participants attended eight auriculotherapy sessions with semi-permanent needles. The qualitative stage was exploratory and descriptive, in which data were collected through semi-structured interviews. Data were mixed with the incorporation of qualitative findings to examine the intervention in the experimental study.
RESULTS: 13 professionals participated in the intervention group and 14 in the control group. Anxiety and stress levels decreased significantly within groups, though no statistical difference was found between groups (p>0.05). The central category, \"Auriculotherapy as an intervention to treat anxiety and stress,\" emerged from the qualitative data, which was subdivided into a base unit and three categories concerning the therapy\'s benefits.
CONCLUSIONS: applying real and sham auriculotherapy had the same effect on the participants\' anxiety and stress levels; the reports reinforced such evidence. Non-pharmacological interventions, such as auriculotherapy, are essential for recovering and promoting the health of perioperative nursing professionals. Brazilian Clinical Trials Registry: RBR-3jvmdn.

UNASSIGNED: This study aims to develop risk prediction models for neck and shoulder musculoskeletal disorders among healthcare professionals.
UNASSIGNED: A stratified sampling method was employed to select employees from medical institutions in Nanning City, yielding 617 samples. The Boruta algorithm was used for feature selection, and various models, including Tree-Based Models, Single Hidden-Layer Neural Network Models (MLP), Elastic Net Models (ENet), and Support Vector Machines (SVM), were applied to predict the selected variables, utilizing SHAP algorithms for individual-level local explanations.
UNASSIGNED: The SVM model excels in both Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) and exhibits more stable performance when generalizing to unseen data. The Random Forest model exhibited relatively high overall performance on the training set. The MLP model emerges as the most consistent and accurate in predicting shoulder musculoskeletal disorders, while the SVM model shows strong fitting capabilities during the training phase, with occupational factors identified as the main contributors to WMSDs.
UNASSIGNED: This study successfully constructs work-related musculoskeletal disorder risk prediction models for healthcare professionals, enabling a quantitative analysis of the impact of occupational factors. This advancement is beneficial for future economical and convenient work-related musculoskeletal disorder screening in healthcare professions.

BACKGROUND: Fishers are at risk of back disorders due to their physically demanding work. The aim was to investigate risk factors for back disorders in fishers in Denmark.
METHODS: All male Danish registered fishers between 1994 and 2017 were included. ICD-10 codes classified back disorders (M40-M54* and DM99.1-4*). A multistate model on a cause-specific cox regression model was conducted.
RESULTS: Of 13,165 fishers included, 16% had a hospital contact with an incident back disorder, and 52% at least had 1 recurrent episode. Having worked in another occupation (HR 1.14; 95% CI: 1.02, 1.27) and another musculoskeletal disorder (HR 1.84; 95% CI: 1.69, 2.01) were significant risk factors for the incident back disorder. No risk factors were seen for recurrent episodes.
CONCLUSIONS: Risk factors for incident and recurrent back disorders were different; thus, episode-specific initiatives are needed to reduce back disorders among fishers.

BACKGROUND: The COVID-19 pandemic has led to the broad acceptance of distance education (DE), with university professors and students conducting the teaching-learning process remotely from their homes. The propose of this study to investigate the prevalence of musculoskeletal disorders (MSDs) before and during the COVID-19 pandemic and identify risk factors associated with DE that may contribute to an increased incidence of these disorders among university professors.
METHODS: This cross-sectional analytical study took a comparative approach and involved 310 university professors in Iran. Data were gathered using an online questionnaire. Initially, demographic and occupational information of the professors, hours of physical activity, and hours spent using electronic devices were recorded. Participants were then asked to report MSDs in various body areas throughout the previous year and the previous seven days. Finally, MSDs risk factors such as workstation ergonomics during computer, laptop, smartphone, and tablet use, as well as working postures during online teaching or offline content development during the COVID-19 pandemic, were examined.
RESULTS: The majority of the participants were male (66.13%), with a PhD (46.77%) and a faculty member position (74.2%). On average, the use of computers and laptops increased by 2.67 h and 2.72 h, respectively, during the pandemic compared to before the pandemic. This increase was statistically significant (P < 0.001). MSDs incidence increased significantly before and during the COVID pandemic was observed in the areas of the neck, shoulders, lower and upper back, arms, forearms, wrists and fingers (P < 0.05). The highest cumulative incidence (Cin) of MSDs was related to the neck (Cin = 24.20%), upper back (Cin = 21.29%), low back (Cin = 18.06%) and fingers (Cin = 16.13%). The prevalence of MSDs during the COVID pandemic was significantly associated with employment status (P = 0.042), work experience (P = 0.016), age (P = 0.027), increase in the use of computers/ laptops (P < 0.001), decrease of the smartphone/tablet distance from the body (P = 0.047), workstation (smartphone-tablet, computer, laptop) (P < 0.05), head position (smartphone-tablet) (P = 0.029), display height (computer/laptop) (P = 0.045) and physical activity (P = 0.006).
CONCLUSIONS: It appears that the increased duration of smartphone, computer, and laptop use, combined with decreased physical activity and detrimental changes in ergonomic conditions of workstations during the quarantine period caused by the COVID-19 pandemic, has resulted in a shift from dynamic to static tasks and an increase in the prevalence and incidence of MSDs among university professors.