0000000000208060

AUTHOR

Lode Godderis

0000-0003-4764-8835

showing 3 related works from this author

The Impact of a Change in Employment on Three Work-Related Diseases: A Retrospective Longitudinal Study of 10,530 Belgian Employees

2020

BACKGROUND: The literature that has investigated to what extent a change in employment contributes to good health is contradictory or shows inconsistent results. The aim of this study was to investigate whether an association exists between a change in employment and cardiovascular, musculoskeletal and neuropsychological diseases in a sample of 10,530 Belgian workers in a seven-year follow-up study period. METHODS: The following factors were analysed: Demographic variables, a change in employment and the work-related risks. Individuals being on medication for cardiovascular, musculoskeletal, and neuropsychological diseases were used as proxies for the three health issues. Logistic regressio…

GerontologyMaleLongitudinal studySTRESSHealth Toxicology and Mutagenesislcsh:MedicineLogistic regressionShift workchronic diseases0302 clinical medicineBelgiumneuropsychological diseasescardiovascular diseaseRisk FactorsMedicine030212 general & internal medicineLongitudinal StudiesPublic Environmental & Occupational HealthNeuropsychologyMiddle Aged030210 environmental & occupational healthwork-related risksOccupational Diseasesmusculoskeletal diseasesFemaleILL HEALTHLife Sciences & BiomedicinePsychosocialAdultEmploymentEnvironmental Sciences & EcologyWork relatedArticleSettore MED/01 - Statistica Medica03 medical and health sciencesneuropsychological diseaseHumansFREQUENT JOB CHANGENight workRetrospective StudiesScience & Technologybusiness.industrylcsh:RPublic Health Environmental and Occupational HealthRepeated measures designcardiovascular diseasesbusinesschronic diseasemusculoskeletal diseaseEnvironmental SciencesFollow-Up StudiesInternational Journal of Environmental Research and Public Health
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From inequitable to sustainable e-waste processing for reduction of impact on human health and the environment

2021

Recycling of electric and electronic waste products (e-waste) which amounted to more than 50 million metric tonnes per year worldwide is a massive and global operation. Unfortunately, an estimated 70 & ndash;80% of this waste has not been properly managed because the waste went from developed to low-income countries to be dumped into landfills or informally recycled. Such recycling has been carried out either directly on landfill sites or in small, often family-run recycling shops without much regulations or oversights. The process traditionally involved manual dismantling, cleaning with hazardous solvents, burning and melting on open fires, etc., which would generate a variety of toxic sub…

Process (engineering)Psychological interventionDeveloping countryEnvironmental pollution010501 environmental sciencesBasel Ban Amendment01 natural sciencesBiochemistryElectronic wasteElectronic WasteEnvironmental pollution03 medical and health sciences0302 clinical medicineAll institutes and research themes of the Radboud University Medical CenterWaste ManagementHazardous wasteHumansRecycling030212 general & internal medicineHealth hazardsEnvironmental planning0105 earth and related environmental sciencesGeneral Environmental Sciencee-wasteOther Research Radboud Institute for Health Sciences [Radboudumc 0]E-WasteElectronic Waste RecyclingNatural resourceElectronic waste recyclingHealth HazardsBusinessElectronicsGenotoxicidade AmbientalEnvironmental PollutionDeveloped countryBasel ban amendment
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The long-term effect of job mobility on workers' mental health: a propensity score analysis

2022

Abstract Objectives The main purpose of this longitudinal study was to elucidate the impact of external job mobility, due to a change of employer, on mental health. Methods A cohort of Belgian employees from the IDEWE occupational medicine registry was followed-up for twenty-seven years, from 1993 to 2019. The use of drugs for neuropsychological diseases was considered as an objective indicator of mental health. The covariates were related to demographic, physical, behavioural characteristics, occupational and work-related risks. Propensity scores were calculated with a Cox regression model with time-varying covariates. The PS matching was used to eliminate the systematic differences in sub…

AdultMaleOccupational MedicineDepressive disorder Epidemiology Job mobility Longitudinal study Mental health Neuropsychological treatment Adult Female Humans Longitudinal Studies Male Mental Health Propensity Score Occupational Health Occupational MedicineScience & TechnologyDepressive disorderEpidemiologyILLSettore MED/44 - Medicina Del LavoroPublic Health Environmental and Occupational HealthSettore MED/01 - Statistica MedicaMental HealthHumansNeuropsychological treatmentFemaleMental healthLongitudinal StudiesLongitudinal studyPropensity ScoreLife Sciences & BiomedicineJob mobilityOccupational HealthPublic Environmental & Occupational Health
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