Effects of Occupational and Leisure-Time Physical Activities on Insomnia in Korean Firefighters

Mental COP: Mental Health Cohort Of Police officers in Korea

PURPOSE

This cohort study addresses the need for comprehensive and longitudinal research on police officers' mental health, focusing on the relationship between occupational factors, individual characteristics and mental health status or suicidality. The Mental COP (Mental health Cohort Of Police officers in Korea) research provides important insights by tracking new police officers over time, contributing to evidence-based interventions and policies to improve their overall mental health and working conditions.

PARTICIPANTS

Mental Cop is a prospective open cohort study designed for new police officers for police recruitment, expected to graduate after 8 months of education at the Central Police Academy. To date, 6752 individuals have completed the baseline survey and are enrolled in the cohort.

FINDING TO DATE

The study data in Mental COP covered a wide range of issues for first responders, including personal factors, various mental health problems, occupational factors and measured biomarkers of allostatic load, including Heart Rate Variability. The main findings indicate a lower prevalence of mental health problems among those selected as new police officers compared with the general population with notable gender differences. Therefore, closer monitoring of women is required. Furthermore, the study revealed cohort-based differences in mental health, highlighting increased risk related to occupational factors (field training) and the management of vulnerable groups.

FUTURE PLANS

Another wave of Mental COP is scheduled for December 2023, with plans for future cohort expansion. Additionally, it will establish a more comprehensive and systematic scientific framework for future investigations by integrating broader medical examinations and National Health Insurance Service Data.

Role of physical activity in the relationship between recovery from work and insomnia among early childhood education and care professionals: a cross-sectional study

OBJECTIVES

This study aimed to investigate the association between recovery from work and insomnia and the role of objectively measured leisure-time physical activity and occupational physical activity in this association.

DESIGN

Cross-sectional.

SETTING AND PARTICIPANTS

Study with female early childhood education and care professionals (N=224) in Finland was conducted between April 2017 and September 2018.

METHODS

Recovery from work was measured with the Need for Recovery scale and insomnia with the Jenkins Sleep Scale. Physical activity was measured with an accelerometer for 7 days and analysed to represent leisure-time physical activity and occupational physical activity (min/day).

RESULTS

Both Jenkins Sleep Scale and occupational physical activity significantly predicted Need for Recovery (β=0.29; 95% CI 0.17 to 0.42 and β=0.14; 95% CI 0.01 to 0.27, respectively). A low relationship was observed between the Need for Recovery and Jenkins Sleep Scale (r=0.32, 95% Cl 0.19 to 0.44). After categorising participants into four groups based on median splits of occupational and leisure-time physical activity, relationships between the Need for Recovery and Jenkins Sleep Scale were low to moderate in the high occupational physical activity and leisure time physical activity group (r=0.38, 95% Cl 0.14 to 0.61), and in the high occupational physical activity and low leisure-time physical activity group (r=0.40, 95% Cl 0.18 to 0.63).

CONCLUSION

Both insomnia and physical activity at work seem to be relevant in recovery from work. To enhance recovery, especially those involved in high physical activity at work, should seek methods to improve recovery, by incorporating activities that promote recuperation both during their workday and in their leisure time. Further research on the relevance of physical activity in recovery with longitudinal setting is warranted.

TRIAL REGISTRATION NUMBER

NCT03854877.

Association between ergonomic risk exposures and insomnia symptoms: a mediation analysis of the 5th Korean working conditions survey

BACKGROUND

This study investigates the relationship between ergonomic risk exposures and insomnia symptoms, using data representative of Korea's general working population.

METHODS

Data from the 5th Korean Working Conditions Survey were used for this study. The eligible population (employees) for the current study was 37,026. Insomnia symptoms were estimated using the minimal insomnia symptom scale (MISS) questionnaire. Logistic regression analysis was conducted to explore the association between ergonomic risks and insomnia symptoms.

RESULTS

All the investigated ergonomic risks increased odd ratios (ORs) for insomnia symptoms: Tiring or painful positions (OR, 1.64; 95% CI, 1.43-1.88); lifting or moving heavy loads (OR, 2.33; 95% CI, 1.99-2.71); long periods of standing (OR, 1.47; 95% CI, 1.29-1.69); and repetitive hand or arm movements (OR, 1.46; 95% CI, 1.29-1.67). The mediated proportion of musculoskeletal pain was 7.4% (95% CI, 5.81-10.13), and the mediated proportion of feeling of exhaustion was 17.5% (95% CI, 5.81-10.13).

CONCLUSIONS

This study provides evidence for the relationship between ergonomic risks and insomnia symptoms, for which musculoskeletal pains and the feeling of exhaustion may be potential mediators.

Latent profile analysis of post-traumatic stress and post-traumatic growth among firefighters

Background: Due to the job characteristics, firefighters are repeatedly exposed to trauma incidents. However, not all firefighters exhibit the same level of post-traumatic stress disorder (PTSD) or post-traumatic growth (PTG). Despite this, few studies have looked into firefighters' PTSD and PTG.Objective: This study identified subgroups of firefighters based on their PTSD and PTG levels, and investigated the influence of demographic factors and PTSD/PTG-related factors on latent class classification.Method: Latent profile analysis was used to examine the patterns of PTSD and PTG among 483 firefighters in South Korea. Using a cross-sectional design, demographic factors and job factors were examined as group covariates through a three-step approach. PTSD-related factors such as depression and suicide ideation, as well as PTG-related factors such as emotion-based response were analysed as differentiating factors.Results: Four classes were identified and named 'Low PTSD-low PTG (65.2%),' 'Mid PTSD-mid PTG (15.5%),' 'Low PTSD-high PTG (15.3%),' and 'High PTSD-mid PTG (3.9%).' The likelihood of belonging to the group with high trauma-related risks increased with more rotating shift work and years of service. The differentiating factors revealed differences based on the levels of PTSD and PTG in each group.Conclusions: 34.8% of firefighters experienced changes due to traumatic events while on the job, and some required serious attention. Modifiable job characteristics, such as the shift pattern, indirectly affected PTSD and PTG levels. Individual and job factors should be considered together when developing trauma interventions for firefighters.

Global prevalence and associated factors of sleep disorders and poor sleep quality among firefighters: A systematic review and meta-analysis

Lack of sleep can affect the health and performance of firefighters. This systematic review and meta-analysis estimated the global prevalence of sleep disorders and poor sleep quality among firefighters and reported associated factors. Four academic databases (Scopus, PubMed, Web of Science, and Embase) were systematically searched from January 1, 2000 to January 24, 2022. These databases were selected as they are known to index studies in this field. The search algorithm included two groups of keywords and all possible combinations of these words. The first group included keywords related to sleep and the second group keywords related to the firefighting profession. The relevant Joanna Briggs Institute checklist was used to evaluate study quality. Data from eligible studies were included in a meta-analysis. In total, 47 articles informed this review. The pooled prevalence of sleep disorders and poor sleep quality in firefighters were determined as 30.49% (95% CI [25.90, 35.06]) and 51.43% (95% CI [42.76, 60.10]), respectively. The results of a subgroup analysis showed that individuals in low- and middle-income countries (LMICs) had a higher prevalence of sleep disorders than those in high-income countries (HICs) but HICs had a higher prevalence of poor sleep quality than LMICs. Various factors, including shift work, mental health, injuries and pain, and body mass index were associated with sleep health. The findings of this review highlight the need for sleep health promotion programs in firefighters.

Prevalence and risk factors associated with poor sleep among firefighters in Taiwan: An observational study

Sleep quality is directly correlated with overall health and quality of life. Firefighters have a higher workload and injury rate than those in other occupations. This study investigated the prevalence of and risk factors for poor sleep quality among firefighters in Taiwan. This cross-sectional study was conducted between November 2019 and August 2020. Sociodemographic information of the study participants was collected using a structured self-administered questionnaire. The Chinese version of the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the subjective sleep quantity and quality of firefighters during the previous month. A t test for continuous variables and χ2 test for categorical variables were performed for univariate analysis. Logistic regression analysis was conducted for multivariate analysis. Eight hundred eighty-nine firefighters completed the questionnaire during the study period, with a response rate of 88.9%. Among them, 447 (50.3%) reported poor sleep quality. Logistic regression analysis showed that female sex, longer work duration (>5 years) for firefighters, on-call shift work, and no leisure-time physical activity (LTPA) was significantly correlated with an increased risk of poor sleep quality. Advanced analysis of partaking in LTPA revealed that high-intensity LTPA is significantly associated with higher rates of poor sleep quality. In contrast, adequate rest after LTPA correlated with lower rates of poor sleep quality. Firefighters are at higher risk of poor sleep quality. Emphasis should be placed on firefighters' regular LTPA, particularly when experiencing sleep problems.

Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis

Background

Shift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies.

Methods

We searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ², and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables.

Results

Twenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS.

Conclusions

This meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD.

Night Work and Breast Cancer Risk in Nurses: Multifactorial Risk Analysis

Night work has been highlighted by the International Agency for Research on Cancer (IARC) as a likely carcinogenic factor for humans, associated with breast cancer and professions that require continuity of work. Knowing the impact that short and long-term night work has on the nurses' collective seems a priority, therefore, this study aims to analyse the relationship between night work and the development of breast cancer risk factors in nurses. For this, a cross-sectional study through an online questionnaire on breast cancer risk variables and working life was designed. The study was conducted in Spain and the sample consisted of 966 nurses, of whom 502 were healthy participants and 56 were breast cancer patients. These two groups were compared in the analyses. A descriptive analysis was performed, and the relationship was tested using χ2 independence test and OR calculation. The CHAID (Chi Square Automatic Interaction Detection) data mining method allowed for the creation of a segmentation tree for the main risk variables. The most significant risk variables related to working life have been the number of years worked, nights worked throughout life, and years working more than 3 nights per month. Exceeding 16 years of work has been significant for women and men. When the time worked is less than 16 years, the number of cases increases if there is a family history of cancer and if there have been more than 500 nights of work. High-intensity night work seems more harmful at an early age. The accumulation of years and nights worked increase the risk of breast cancer when factors such as sleep disturbance, physical stress, or family responsibilities come together.