Effects of exposure to insecticides on sleep and neurobehavioural functioning in puberty and adolescence: a scoping review

The Libby, MT, cohort includes current and former residents with potential historical exposure to asbestos-contaminated vermiculite. This cohort includes individuals with a broad range of exposure experiences and work histories. While both occupational and nonoccupational exposure pathways were found to be relevant in recent investigations of health effects among this cohort, there has not been a comprehensive approach to characterizing these varied exposure pathways. Any approach toward assessing historical exposures among this population must account for three general categories: (1) occupational exposures, (2) residential exposures, and (3) exposures related to a variety of nonoccupational activities thought to be associated with vermiculite/asbestos exposure in this community. First, a job exposure matrix is commonly used in occupational epidemiology to assess historical worker exposures, allowing for the incorporation of numerous occupational categories and weighting factors applied to specific jobs for different time periods. Second, residential exposures can best be quantified by integrating individuals' residential histories with data on environmental asbestos contamination in the community. Previous soil or sediment sampling as well as air modeling could inform estimates of time- and spatial-dependent exposure concentrations for a residential exposure matrix. Finally, exposure opportunities due to nonoccupational activities could be weighted by factors such as time, geography, environmental sampling, and an assessment of the relative importance for each pathway. These three matrices for occupational, residential, and activity exposure pathways could be combined or used separately to provide a more comprehensive and quantitative, or semiquantitative, assessment of individual exposure in future epidemiological studies of this cohort.

Studies of magnetic field exposure and cancer have focused on either residential or occupational exposure. We conducted a case-control study taking into account both exposure sources. We identified leukemia and central nervous system tumor cases and controls from a population living within 300 m of transmission lines in Sweden. We have previously reported results considering residential exposure alone. Here, we evaluate the effect of occupational exposure and of the combined exposures. We estimated residential exposure through calculations of the magnetic fields generated by power lines. We obtained information about occupation from censuses and linked the occupations to a job-exposure matrix based on magnetic field measurements. For occupational exposure of > or = 0.2 microT, we estimated the relative risk for leukemia to be 1.7 [95% confidence interval (CI) = 1.1-2.7]. The increased risk was confined to acute myeloid and chronic lymphocytic leukemia. For residential exposure of > or = 0.2 microT, the relative risk for leukemia was estimated at 1.3 (95% CI = 0.8-2.2), with higher risk estimates for acute and chronic myeloid leukemia. We estimated the relative risk for leukemia among subjects highly exposed both at home and at work to be 3.7 (95% CI = 1.5-9.4). These results provide support for an association between magnetic field exposure and leukemia. Relative risks for nervous system tumors were close to unity.

Background: Sleep is essential for health, especially during adolescence. However, most adolescents do not obtain the recommended 8 to 10 h of sleep, and their health is significantly affected. While both physical activity (PA) and diet have been shown to help improve the sleep quality and duration, the combined association of these two factors with sleep has yet to be analysed. Objectives: Therefore, the main objective of this study was to assess the evidence on the combined association of PA and diet with the quality and duration of sleep in adolescents. Secondary objectives were to analyse the evidence on the single association of PA with the quality and duration of sleep in adolescents and to analyse the single association of diet with the quality and duration of sleep in adolescents. Methods: To this end, a scoping review was conducted with a structured search in four online databases (PubMed, Scopus, Web of Science and ERIC). Results: The findings suggest that the amount of PA (time/week) and healthy dietary patterns, characterised by meal regularity and high consumption of fruits and vegetables, favour a better quality and a longer duration of sleep. Conversely, less weekly PA and the intake of less healthy foods, such as ultra-processed foods, are associated with decreasing the sleep quality and duration. Conclusions: In conclusion, the results underscore the importance of considering PA and diet as an appropriate approach to investigating sleep quality and duration in adolescents. Studies analysing the interplay between PA, diet and sleep in adolescents are scarce.

The purpose of this study was to evaluate the effect of occupational magnetic field exposure on breast cancer in females and to combine residential and occupational magnetic field exposure to reduce misclassification. The study was conducted as a case-control study within a population living within 300 meters of transmission lines in Sweden. We identified cases of breast cancer in females from the national cancer registry, and we selected one matched control per case at random. Residential exposure was estimated through calculations of the magnetic fields generated by power lines. We obtained information about occupation from censuses, and the occupations were linked to a job-exposure matrix that was based on magnetic field measurements. For occupational exposure to magnetic fields over 0.25 microT closest in time before diagnosis, the estimated relative risk was 1.0 [96% confidence interval (CI) = 0.6-1.7]. Women below age 50 years at diagnosis had a relative risk of 1.5 (95% CI = 0.6-3.5). For women below 50 years of age who had estrogen receptor-positive breast cancer, there was a relative risk of 3.2 (95% CI = 0.5-18.9). The results for residential and occupational exposures combined showed similar results.

Physical exposures in the work environment during pregnancy - a challenge for risk assessment.

The most complete coverage of exposure to ELF magnetic fields has been reached in studies of childhood cancer. In studies of adults, disregarded exposure is a more relevant issue and the potential impact on study results is not well known. As a rule, one environment at a time, residential or occupational, has been examined. Disregarded exposure results in misclassification of overall exposure, but there will always be a specificity of 100%. Subjects without exposure either at home or at work, will all be classified as unexposed. The influence of disregarded exposure on study results depends on the relationships between the focused and the disregarded exposure, and on the relationships between the two exposures and disease outcome. Simulations indicate that relative risks based on occupational exposure only are close to estimates based on combined data. A more precise assessment of either exposure can be more important than combining residential and occupational exposure. In risk assessments, on the other hand, it is misleading if, for example, only residential exposure is considered, since the prevalence of exposure from other environments is far from marginal.

Sleep, Circadian Rhythms, and Psychomotor Vigilance

P-202 Introduction: Radon, a well known carcinogenic agent for humans lung, is a radioactive gas emerging essentially from soil so it represents a physical hazard for people working in underground rooms. Banks are characterised by an elevated number of underground floors and spaces, (strong-rooms, strong-box and safe-deposit rooms). The potential risk to bank workers is assessed in the present study combining occupational and residential radon exposure. Methods: Radon concentration was measured with Cr-39 dosimeters at annual and quarterly intervals in ground and underground floors of 134 bank buildings distributed among 7 regions in the North, Centre and South of Italy. Regional mean concentrations obtained in the National Residential Survey conducted by the National Institute of Health were considered as reference for residential exposure. The annual cumulative time typically spent by bank workers in underground and ground levels was estimated to be 120 hrs and 1880 hrs, respectively. The calculated cumulative annual occupational doses were compared to the corresponding residential area values. Lung cancer lifetime risk was then evaluated with a risk model (based on WHO standardization) involving a population life expectancy of 70 years, a lifetime working period between 18 and 65 years of age and a total of 2,000 working hours per year. Results: Without considering occupational exposure, maximum and minimum values of average lifetime risk were reached in the regions with respectively maximum and minimum average residential concentrations (119 and 35 Bq/m3 corresponding respectively to a lifetime risk of 14.7 · 10-3 and 4.4 · 10-3). The relative contribution of occupational exposure to overall lifetime risk was found to be proportionally high in regions with low residential concentrations, while occupational exposure may determine even a decreased overall lifetime risk in the areas with high residential concentrations. Significant absolute lifetime risk increase due to occupational exposure was only observed when very high concentrations were present at the underground levels (peak level = 2,564 Bq/m3). Consequently, organisational and technical interventions were adopted to reduce the maximum level to 500 Bq/m3, as prescribed by Italian legislation. Conclusions: The study confirmed that key determinants of occupational radon exposure for bank workers are represented by radon concentration in the premises and the work time spent in underground floors. The relative contribution of occupational exposure to individual lifetime cancer risk is also strictly dependent on the residential concentrations present in the area where the building is located.

Comparing the nature of adolescent sleep across urban and more isolated, rural settings through an ecological, cross-cultural perspective represents one way to inform sleep nuances and broaden our understanding of human development, wellbeing and evolution. Here we tested the Social Jetlag Hypothesis, according to which contemporary, urban lifestyles and technological advances are associated with sleep insufficiency in adolescents. We documented the adolescent sleep duration (11–16 years old; X̅ = 13.7 ± 1.21; n = 145) in two small agricultural, indigenous and one densely urban context in Mexico to investigate whether adolescents in socio-ecologically distinct locations experience sleep deprivation. Sleep data was assembled with actigraphy, sleep diaries and standardized questionnaires. We employed multilevel models to analyze how distinct biological and socio-cultural factors (i.e., pubertal maturation, chronotype, napping, gender, working/schooling, access to screen-based devices, exposure to light, and social sleep practices) shape adolescent sleep duration. Results suggest that the prevalence of adolescent short sleep quotas is similar in rural, more traditional environments compared to highly urbanized societies, and highlight the influence of social activities on the expression of human sleep. This study challenges current assumptions about natural sleep and how adolescents slept before contemporary technological changes occurred.

IntroductionArtificial intelligence (AI) has the potential to significantly enhance workplace safety and mitigate occupational radiation exposure risks by improving the accuracy of assessment and management of these hazards. This study aims to review research on the use of AI in the assessment, monitoring, control, and protection of occupational radiation exposure.MethodThis review was conducted according to the PRISMA guidelines. A comprehensive search was performed in the Web of Science, Scopus, and PubMed databases from inception to April 2024. The search strategy was designed based on the PICO principle and included keywords related to artificial intelligence, occupational exposure, radiation, and industry. The inclusion criteria explored the application of artificial intelligence in the assessment, monitoring, control, and protection against occupational radiation exposure. The quality of the included studies was evaluated using the MMAT critical appraisal tool.ResultIn this review, the initial literature search in the Web of Science, Scopus, and PubMed databases identified 2920 articles. After removing duplicate references, screened based on title, keywords, and abstract, Ultimately, 59 eligible articles were selected, which utilized various artificial intelligence tools, such as expert systems, machine learning, deep learning, and other applied AI models. Of all the articles, 76% had high scores and were considered strong. These studies were categorized into three groups: supervision and assessment, detection and monitoring, protection, control, and personal protective equipment.ConclusionThe successful application of AI can potentially improve occupational radiation exposure management, but several key challenges must be addressed. These include the need for high-quality training data, interpretability of complex AI algorithms, alignment with safety standards, integration with existing systems, and the lack of interdisciplinary expertise. Addressing these research gaps through further study and collaboration will be crucial to realizing the benefits of AI in this domain, which has long been a critical concern in human and work environments.

Effects of cognitive-motor dual task training on cognitive and physical performance in healthy children and adolescents: A scoping review

AimsAdolescent sleep health is a growing public health issue and has been reported to significantly influence various short-term and long-term health outcomes, including academic performance, substance use and cardiovascular disease....

Pesticide poisoning and neurobehavioral function among farm workers in Jiangsu, People's Republic of China

It has been suggested that prenatal exposure to insecticides adversely affects fetal growth, but the overall results have been inconsistent, partly because of the different exposure sources and exposure assessments used. In the French PELAGIE (Perturbateurs Endocriniens: Étude Longitudinale sur les Anomalies de la Grossesse, l'Infertilité et l'Enfance) mother and child cohort (2002-2006), the authors investigated the association between fetal growth and insecticide exposure (n = 1,213) using an integrated Bayesian latent variable model to include multiple exposure sources: agricultural activities, nonorganic diet, household insecticide use on plants, and household insecticide use against insects. They used a questionnaire to collect information on household use and organic diet, and a national agricultural census provided data on agricultural activities in the women's municipalities of residence. A 0.10-cm decrease in head circumference at birth (95% credibility interval: -0.22, 0.01) was associated with fetal insecticide exposure from agricultural activities in the municipality of residence. Decreases in average birth weight (-27 g; 95% credibility interval: -59, 6) and head circumference (-0.12 cm; 95% credibility interval: -0.26, 0.01) were associated with household insecticide use to treat plants. The present results suggest an inverse association between fetal growth and prenatal insecticide exposure from nearby agricultural activity or household use. Bayesian modeling via latent variables is a natural framework for including multiple sources of exposure to environmental pollutants.

The dermal exposure route is expected to become increasingly significant relative to total worker exposure as inhalational exposure limits continue to decrease. However, standardization of occupational exposure assessment methods and scientific consensus are needed. This is the first scoping review mapping the literature across all dermal exposure assessment methods and their targeted substances/chemicals in occupational settings. Eligibility criteria broadly included studies reporting any noninvasive dermal exposure assessment method in an occupational setting. The literature search (Web of Science and MEDLINE) was restricted to peer-reviewed, primary literature published in the last 20 years (2002-2022). Titles/abstracts were dual independently screened. Data charting was performed by a single reviewer using standard template. All stages were pilot tested. The JBI (formerly, the Joanna Briggs Institute) scoping review methods and PRISMA-ScR checklist (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) were used. In total, 493 articles were data charted and categorized by 4 study types: methods development (22%), exposure assessment (51%), health outcomes (21%), and controls assessment (6%). Fourteen types of dermal exposure assessment methods were charted with biomarkers (51%), dosimeters (21%), and qualitative assessments such as questionnaires or surveys (17%) most common. Seventeen different chemicals/substances were charted; pesticides (28%) and polycyclic aromatic hydrocarbons (PAHs) (22%) associated with crude oil products and combustion were most common. Mapping between substances and exposure assessment method categories, pesticide dosimeters (11%), and PAH biomarker studies (14%) were most reported. Literature gaps were identified for cleaning agents, hair dyes, glycol ether, N,N-dimethylformamide/N-methyl-2-pyrrolidone, dioxins, and bisphenol A. To foster scientific consensus, standardization across study reporting is needed for describing: (i) exposure assessment methods used, (ii) worker tasking/conditions, (iii) targeted substances and substance state, and (iv) targeted exposure routes. Overall, this review categorizes, maps, and defines the scope of literature for occupational dermal exposure assessment methods.