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View article: Lifestyle behaviors do not moderate the association between menopausal symptoms and need for recovery after work
Lifestyle behaviors do not moderate the association between menopausal symptoms and need for recovery after work Open
Menopausal symptoms were strongly associated with need for recovery after work. The findings suggest that high-risk groups based on physical activity, alcohol use, smoking, and BMI cannot be identified. The substantial impact of menopausal…
View article: 8275606 Evidence-based interventions to prevent sick leave: a scoping review of reviews
8275606 Evidence-based interventions to prevent sick leave: a scoping review of reviews Open
View article: 8274182 How to prevent sick leave: a qualitative study of employers’ and employees’ perspectives
8274182 How to prevent sick leave: a qualitative study of employers’ and employees’ perspectives Open
View article: 8274456 The 3-months effectiveness of a digital multicomponent intervention to reduce sitting in the home-office context: preliminary results of a cluster randomized study in 4 European countries
8274456 The 3-months effectiveness of a digital multicomponent intervention to reduce sitting in the home-office context: preliminary results of a cluster randomized study in 4 European countries Open
View article: 8000001 Do psychosocial working conditions moderate the association between menopausal symptoms and presenteeism? The lifelines cohort study
8000001 Do psychosocial working conditions moderate the association between menopausal symptoms and presenteeism? The lifelines cohort study Open
View article: 8190776 Are night-shift workers at increased risk of infections? a systematic review and meta-analysis
8190776 Are night-shift workers at increased risk of infections? a systematic review and meta-analysis Open
View article: Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study
Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study Open
Background Hybrid work is the new modus operandi for many office workers, leading to more sedentary behavior than office-only working. Given the potential of digital interventions to reduce sedentary behavior and the current lack of studie…
View article: Night-shift work and susceptibility to infectious diseases: a systematic review and meta-analysis
Night-shift work and susceptibility to infectious diseases: a systematic review and meta-analysis Open
OBJECTIVES: A growing body of research on infection susceptibility among night-shift workers has emerged, particularly since the COVID-19 pandemic. However, a comprehensive overview is still lacking. Therefore, this review aimed to synthes…
View article: Evidence-based interventions to prevent sick leave: a scoping review of reviews
Evidence-based interventions to prevent sick leave: a scoping review of reviews Open
View article: A digital intervention to reduce home-office workers’ sedentary behaviour: protocol for the evaluation of the Click2Move programme, a cluster randomised controlled trial
A digital intervention to reduce home-office workers’ sedentary behaviour: protocol for the evaluation of the Click2Move programme, a cluster randomised controlled trial Open
Background A new paradigm of hybrid working exists, with most office workers sharing their work between the office and home office environment. Working from home increases time spent or prolonged sitting, which is associated with an increa…
View article: The association of overweight, obesity, and long-term obesity with SARS-CoV-2 infection: a meta-analysis of 9 population-based cohorts from the Netherlands Cohorts Consortium
The association of overweight, obesity, and long-term obesity with SARS-CoV-2 infection: a meta-analysis of 9 population-based cohorts from the Netherlands Cohorts Consortium Open
View article: Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study (Preprint)
Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study (Preprint) Open
BACKGROUND Hybrid work is the new modus operandi for many office workers, leading to more sedentary behavior than office-only working. Given the potential of digital interventions to reduce sedentary behavior and the current lack of studi…
View article: Effectiveness of workplace interventions with digital elements to reduce sedentary behaviours in office employees: a systematic review and meta-analysis
Effectiveness of workplace interventions with digital elements to reduce sedentary behaviours in office employees: a systematic review and meta-analysis Open
Background Digital interventions are potential tools for reducing and limiting occupational sedentary behaviour (SB) in sedentary desk-based jobs. Given the harmful effects of sitting too much and sitting for too long while working, the ai…
View article: Sleep quality, sleep duration, and sleep disturbances among hospital night workers: a prospective cohort study
Sleep quality, sleep duration, and sleep disturbances among hospital night workers: a prospective cohort study Open
Purpose This study aimed to assess among hospital night workers (i) to what extent sleep quality, sleep duration and sleep disturbances overlap, and (ii) associations between sociodemographic factors, lifestyle factors and work characteris…
View article: Mental health of healthcare workers during the first year of the COVID-19 pandemic in the Netherlands: a longitudinal study
Mental health of healthcare workers during the first year of the COVID-19 pandemic in the Netherlands: a longitudinal study Open
Purpose In March 2020, the WHO declared COVID-19 a pandemic. Previous virus outbreaks, such as the SARS outbreak in 2003, appeared to have a great impact on the mental health of healthcare workers. The aim of this study is to examine to wh…
View article: Sleep quality, sleep quantity, and sleep disturbances among hospital night workers
Sleep quality, sleep quantity, and sleep disturbances among hospital night workers Open
Background Night work impacts sleep and is unavoidable in healthcare. Different sleep components have been studied, such as quality, duration and disturbances, which need to be considered different fundamental components of sleep. In the g…
View article: Past or Present; Which Exposures Predict Metabolomic Aging Better? The Doetinchem Cohort Study
Past or Present; Which Exposures Predict Metabolomic Aging Better? The Doetinchem Cohort Study Open
People age differently. Differences in aging might be reflected by metabolites, also known as metabolomic aging. Predicting metabolomic aging is of interest in public health research. However, the added value of longitudinal over cross-sec…
View article: Predicting self-perceived general health status using machine learning: an external exposome study
Predicting self-perceived general health status using machine learning: an external exposome study Open
View article: Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study
Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study Open
View article: Additional file 1 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 1 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 1: Table S1. Overview of variables used in RF models.
View article: Additional file 3 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 3 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 3: Table S3. Descriptives of categorical exposures of 2012 dataset (n = 199,840).
View article: Additional file 2 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 2 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 2: Table S2. Descriptives of continuous variables in the 2012 dataset (n = 199,840)
View article: Additional file 7 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 7 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 7: Table S7. VI rankings of RF models based on the 2012 and 2016 datasets.
View article: Additional file 4 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 4 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 4: Table S4. Descriptives of continuous variables of 2016 dataset (n = 244,557).
View article: Additional file 5 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 5 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 5: Table S5. Descriptives of categorical exposures of 2016 dataset (n = 244,557).
View article: Additional file 6 of Predicting self-perceived general health status using machine learning: an external exposome study
Additional file 6 of Predicting self-perceived general health status using machine learning: an external exposome study Open
Additional file 6: Table S6. Pearson r2 correlation matrix of numerical exposures of the 2016 dataset (n = 244,557)
View article: The longitudinal association between working from home and musculoskeletal pain during the COVID-19 pandemic
The longitudinal association between working from home and musculoskeletal pain during the COVID-19 pandemic Open
View article: The mediating role of physical activity and sedentary behavior in the association between working from home and musculoskeletal pain during the COVID-19 pandemic
The mediating role of physical activity and sedentary behavior in the association between working from home and musculoskeletal pain during the COVID-19 pandemic Open
Introduction Working from home during the COVID-19 pandemic has been associated both with physical inactivity and musculoskeletal pain. However, it has not been examined whether physical activity and sedentary behavior are underlying mecha…
View article: GlycA, a Biomarker of Low-Grade Inflammation, Is Increased in Male Night Shift Workers
GlycA, a Biomarker of Low-Grade Inflammation, Is Increased in Male Night Shift Workers Open
Sustained night shift work is associated with various adverse health risks, including an increased risk of cardiovascular disease, type II diabetes, and susceptibility to infectious respiratory diseases. The extent of these adverse health …
View article: Estimating healthcare expenditures after becoming divorced or widowed using propensity score matching
Estimating healthcare expenditures after becoming divorced or widowed using propensity score matching Open