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179 results on '"Loef, Bette"'

1. 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

Author

Loef, Bette, Boer, Jolanda M. A., Beekman, Marian, Campman, Sophie L., Hoogendijk, Emiel O., Huider, Floris, Pagen, Demi M. E., Splinter, Marije J., van der Velde, Jeroen H. P. M., Boomsma, Dorret I., Dagnelie, Pieter C., van Dongen, Jenny, de Geus, Eco J. C., Huisman, Martijn, Ikram, M. Arfan, Koster, Annemarie, Licher, Silvan, Mierau, Jochen O., de Mutsert, Renée, Picavet, H. Susan J., Rosendaal, Frits R., Schram, Miranda T., Slagboom, P. Eline, van der Spoel, Evie, Stronks, Karien, Verschuren, W. M. Monique, and van den Berg, Saskia W.

Published
2024
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10. A digital intervention to reduce home-office workers' sedentary behaviour: protocol for the evaluation of the Click2Move programme, a cluster randomised controlled trial.

Author

Bort-Roig, Judit, Parés-Salomón, Iris, Loef, Bette, Vaqué-Crusellas, Cristina, Coffey, Alan, Gustems-Morral, Arnau, Señé-Mir, Anna M., Luznik, Izabela, Pajek, Maja, Dowd, Kieran P., Puig-Ribera, Anna, and Proper, Karin I.

Subjects
HOME offices, FLEXIBLE work arrangements, TELECOMMUTING, CLERKS, SEDENTARY behavior
Abstract

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 increased risk of chronic disease. Interventions to reduce sitting time, specifically designed for both the office and home-office environments, are required to address this growing public health issue. This study presents a protocol to evaluate the effectiveness of a digital intervention (Click2Move) to reduce sitting time and improve employees' health and occupational wellbeing among hybrid office workers. Methods: A two-arm cluster randomised controlled trial will be undertaken among hybrid office employees. In total, 200 employees will be recruited across four companies across Europe (The Netherlands, Spain, Ireland, and Slovenia). Participants within each company will be randomly allocated to the intervention or control group at the unit/cluster level. The intervention group will receive the novel multicomponent Click2Move intervention (including environmental, organisational, and individual strategies) for 12 months, and the control groups will maintain their usual work practices. The primary outcome will be occupational sedentary time measured via activPAL3TM at baseline and at 3, 6 and 12 months follow-up. Secondary outcomes will include device-based (activPAL3TM) and self-reported (Global Physical Activity Questionnaire and Workforce Sitting Questionnaire) physical activity and sedentary behaviour; self-reported musculoskeletal disorders (Standardised Nordic Questionnaire) and pain (Numeric Rating Scale); self-reported presenteeism and absenteeism (Health and Work Performance Questionnaire), job satisfaction (Need for Recovery scale) and fatigue (single-item 5-point Likert scale). Focus groups will be conducted with employees post-intervention. Linear mixed models, accounting for covariates, will be employed to determine the effects of the intervention. Additionally, we will perform a full process evaluation analysis. Discussion: The proposed study will offer a comprehensive evaluation of a digital intervention aimed at reducing sedentary behaviour among hybrid office workers, offering practical solutions to enhance the health, wellbeing and productivity of a growing segment of the workplace. Trial registration: ClinicalTrials.gov NCT06247228. Registered 30 January 2024. [ABSTRACT FROM AUTHOR]

Published
2025
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17. Past or Present; Which Exposures Predict Metabolomic Aging Better?: The Doetinchem Cohort Study

Author

Cardiovasculaire Epi Team 7a, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Smit, Annelot P, Herber, Gerrie-Cor M, Kuiper, Lieke M, Loef, Bette, Picavet, H Susan J, Verschuren, W M Monique, Cardiovasculaire Epi Team 7a, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Smit, Annelot P, Herber, Gerrie-Cor M, Kuiper, Lieke M, Loef, Bette, Picavet, H Susan J, and Verschuren, W M Monique

Published
2024

18. Sleep quality, sleep duration, and sleep disturbances among hospital night workers:a prospective cohort study

Author

van Elk, Fleur, Loef, Bette, Proper, Karin I., Burdorf, Alex, Robroek, Suzan J. W., Hengel, Karen M. Oude, van Elk, Fleur, Loef, Bette, Proper, Karin I., Burdorf, Alex, Robroek, Suzan J. W., and Hengel, Karen M. Oude

Abstract

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 characteristics and sleep components. Methods: Data were used from 467 hospital night workers participating in the Klokwerk + study, a prospective cohort study with two measurements. Sleep quality was measured by the Pittsburgh Sleep Quality Index, sleep duration and sleep disturbances were measured by the Medical Outcomes Study Sleep Scale. The overlap between the three sleep measures was visualized with a Venn diagram and the proportions of overlap was calculated. Associations between independent variables (sociodemographic factors, lifestyle factors and work characteristics) and the three sleep outcomes were estimated using between-within Poisson regression models. Results: About 50% of the hospital night workers had at least one poor sleep outcome. Overlap in poor sleep outcomes was apparent for 36.8% of these workers, while the majority had a poor outcome in one of the sleep components only (63.1%). Former smoking had a significant association with poor sleep quality. For most independent variables no associations with poor sleep outcomes were observed. Conclusion: Our findings suggest that sleep quality, sleep duration and sleep disturbances are separate entities and should be studied separately. Lifestyle factors and work characteristics were generally not associated with poor sleep. Since these factors can have an acute effect on sleep, future research should consider ecological momentary assessment to examine how exposure and outcomes (co)vary within-persons, over time, and across contexts.Trial registration Netherlands Trial Register trial number NL56022.041.16

Published
2024

27. Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study

Author

Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Loef, Bette, Herber, Gerrie Cor M., Wong, Albert, Janssen, Nicole A.H., Hoekstra, Jurriaan, Picavet, H. Susan J., Verschuren, W. M.Monique, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Loef, Bette, Herber, Gerrie Cor M., Wong, Albert, Janssen, Nicole A.H., Hoekstra, Jurriaan, Picavet, H. Susan J., and Verschuren, W. M.Monique

Published
2023

28. Predicting self-perceived general health status using machine learning: an external exposome study

Author

Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Hoekstra, Jurriaan, Lenssen, Esther S, Wong, Albert, Loef, Bette, Herber, Gerrie-Cor M, Boshuizen, Hendriek C, Strak, Maciek, Verschuren, W M Monique, Janssen, Nicole A H, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Hoekstra, Jurriaan, Lenssen, Esther S, Wong, Albert, Loef, Bette, Herber, Gerrie-Cor M, Boshuizen, Hendriek C, Strak, Maciek, Verschuren, W M Monique, and Janssen, Nicole A H

Published
2023

29. Past or Present; Which Exposures Predict Metabolomic Aging Better? The Doetinchem Cohort Study.

Author

Smit, Annelot P, Herber, Gerrie-Cor M, Kuiper, Lieke M, Loef, Bette, Picavet, H Susan J, and Verschuren, W M Monique

Subjects
METABOLOMICS, COHORT analysis, OLDER men, AGE differences, AGING
Abstract

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-sectional predictors of metabolomic aging is unknown. We studied exposome-related exposures as potential predictors of metabolomic aging, both cross-sectionally and longitudinally in men and women. We used data from 4 459 participants, aged 36–75 of Round 4 (2003–2008) of the long-running Doetinchem Cohort Study (DCS). Metabolomic age was calculated with the MetaboHealth algorithm. Cross-sectional exposures were demographic, biological, lifestyle, and environmental at Round 4. Longitudinal exposures were based on the average exposure over 15 years (Round 1 [1987–1991] to 4), and trend in these exposure over time. Random Forest was performed to identify model performance and important predictors. Prediction performances were similar for cross-sectional and longitudinal exposures in both men (R 2 6.8 and 5.8, respectively) and women (R 2 14.8 and 14.4, respectively). Biological and diet exposures were most predictive for metabolomic aging in both men and women. Other important predictors were smoking behavior for men and contraceptive use and menopausal status for women. Taking into account history of exposure levels (longitudinal) had no added value over cross-sectionally measured exposures in predicting metabolomic aging in the current study. However, the prediction performances of both models were rather low. The most important predictors for metabolomic aging were from the biological and lifestyle domain and differed slightly between men and women. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Additional file 8 of Predicting self-perceived general health status using machine learning: an external exposome study

Author

Hoekstra, Jurriaan, Lenssen, Esther S., Wong, Albert, Loef, Bette, Herber, Gerrie-Cor M., Boshuizen, Hendriek C., Strak, Maciek, Verschuren, W. M. Monique, and Janssen, Nicole A. H.

Abstract

Additional file 8: Figure S1. Partial dependance plots of a selection of top ranked categorical variables within a random forest model to predict self-perceived general health status. Figure S2. Accumulated local effects plots of a selection of top continuous variables within a random forest model to predict self-perceived general health status.

Published
2023
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35. Using random forest to identify longitudinal predictors of health in a 30-year cohort study

Author

Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Cardiometabolic Health, Loef, Bette, Wong, Albert, Janssen, Nicole A.H., Strak, Maciek, Hoekstra, Jurriaan, Picavet, H. Susan J., Boshuizen, H. C.Hendriek, Verschuren, W. M.Monique, Herber, Gerrie Cor M., Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Cardiometabolic Health, Loef, Bette, Wong, Albert, Janssen, Nicole A.H., Strak, Maciek, Hoekstra, Jurriaan, Picavet, H. Susan J., Boshuizen, H. C.Hendriek, Verschuren, W. M.Monique, and Herber, Gerrie Cor M.

Published
2022

36. GlycA, a Biomarker of Low-Grade Inflammation, Is Increased in Male Night Shift Workers

Author

Bizzarri, D. (author), Dollé, Martijn E. T. (author), Loef, Bette (author), van den Akker, E.B. (author), van Kerkhof, Linda W. M. (author), Bizzarri, D. (author), Dollé, Martijn E. T. (author), Loef, Bette (author), van den Akker, E.B. (author), and van Kerkhof, Linda W. M. (author)

Abstract

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 effects, however, seems to greatly vary between night shift workers, yet the underlying reasons and the mechanisms underlying these interindividual differences remain poorly understood. Metabolomics assays in the blood have recently gained much attention as a minimally invasive biomarker platform capturing information predictive of metabolic and cardiovascular diseases. In this cross-sectional study, we explored and compared the metabolic profiles of 1010 night shift workers and 1010 age- and sex-matched day workers (non-shift workers) from the Lifelines Cohort Study. The metabolic profiles were determined using the 1H-NMR Nightingale platform for the quantification of 250 parameters of metabolism, including routine lipids, extensive lipoprotein subclasses, fatty acid composition, and various low-molecular metabolites, including amino acids, ketone bodies, and gluconeogenesis-related metabolites. Night shift workers had an increased BMI (26.6 vs. 25.9 kg/m2) compared with day workers (non-shift workers) in both sexes, were slightly more likely to be ever smokers (only in males) (54% vs. 46%), worked on average 5.9 ± 3.7 night shifts per month, and had been working in night shifts for 18.3 ± 10.5 years on average. We observed changes in several metabolic markers in male night shift workers compared with non-shift workers, but no changes were observed in women. In men, we observed higher levels of glycoprotein acetyls (GlycA), triglycerides, and fatty acids compared with non-shift workers. The changes were seen in the ratio of triglycerides and cholesterol(esters) to total lipids in different sizes of VLDL particles. Glycoprotein acetyls (GlycAs) are of particular interest as markers since they are known as b, Pattern Recognition and Bioinformatics

Published
2022
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41. Shift Work and Respiratory Infections in Healthcare Workers

Author

Loef, Bette, van Baarle, Debbie, van der Beek, Allard J, Sanders, Elisabeth A M, Bruijning-Verhagen, Patricia, and Proper, Karin I

Subjects
respiratory tract diseases
Abstract

Recently, there has been interest in whether shift work may enhance infection susceptibility. Our aim was to determine whether shift workers in healthcare have a higher incidence, duration, and severity of influenza-like illness (ILI) and acute respiratory illness (ARI) than non-shift workers. From September 2016-June 2017, 501 rotating and/or night shift workers and 88 non-shift workers from the Klokwerk+ study (2016-2017) daily registered occurrence of ILI/ARI symptoms using a smartphone application. Incidence rate of ILI/ARI episodes (defined as ≥2 symptoms on the same day/≥1 symptom during two consecutive days), mean duration per episode, and incidence rate of severe episodes were compared between shift and non-shift workers using negative binomial regression and linear mixed model analysis. In total, participants completed 110,347 diaries. Shift workers' incidence rate of ILI/ARI episodes was 1.20 (95%-CI:1.01, 1.43) times higher, and for severe ILI/ARI episodes 1.22 (95%-CI:1.01, 1.49) times higher, compared to non-shift workers. Mean duration per ILI/ARI episode did not differ (ratio between means=1.02 (95%-CI:0.87, 1.19)). In conclusion, shift workers in healthcare had more and more severe ILI/ARI episodes than non-shift workers, but with a similar duration. Insight into underlying mechanisms connecting shift work and infection susceptibility will contribute to the design of preventive initiatives.

Published
2020

43. Nachtwerk in breder perspectief

Author

Proper, Karin I., Loef, Bette, van der Beek, Allard J., Public and occupational health, and APH - Societal Participation & Health

Published
2020

44. Shift work and respiratory infections in health-care workers

Author

Loef, Bette, Van Baarle, Debbie, Van Der Beek, Allard J., Sanders, Elisabeth A.M., Bruijning-Verhagen, Patricia, Proper, Karin I., Loef, Bette, Van Baarle, Debbie, Van Der Beek, Allard J., Sanders, Elisabeth A.M., Bruijning-Verhagen, Patricia, and Proper, Karin I.

Published
2019

47. Immunological effects of shift work in healthcare workers

Author

CTI Research, Infection & Immunity, Loef, Bette, Nanlohy, Nening M., Jacobi, Ronald H.J., van de Ven, Chantal, Mariman, Rob, van der Beek, Allard J., Proper, Karin I., van Baarle, Debbie, CTI Research, Infection & Immunity, Loef, Bette, Nanlohy, Nening M., Jacobi, Ronald H.J., van de Ven, Chantal, Mariman, Rob, van der Beek, Allard J., Proper, Karin I., and van Baarle, Debbie

Published
2019

48. Shift work and respiratory infections in health-care workers

Author

CTI Research, Infection & Immunity, Immuno/reuma onderzoek 7 (Montfrans), Immuno/reuma patientenzorg, Child Health, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, Loef, Bette, Van Baarle, Debbie, Van Der Beek, Allard J., Sanders, Elisabeth A.M., Bruijning-Verhagen, Patricia, Proper, Karin I., CTI Research, Infection & Immunity, Immuno/reuma onderzoek 7 (Montfrans), Immuno/reuma patientenzorg, Child Health, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, Loef, Bette, Van Baarle, Debbie, Van Der Beek, Allard J., Sanders, Elisabeth A.M., Bruijning-Verhagen, Patricia, and Proper, Karin I.

Published
2019

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