Publications by authors named "Susan Picavet"

Objective: To examine (a) the association between metabolic factors and chronic musculoskeletal pain (CMP), (b) metabolic predictors of CMP 10 years later, and (c) the association and evolution of metabolic factors across different CMP trajectory groups.

Design: Data from the longitudinal Doetinchem Cohort Study were used. We used round 4 (2003-2007), with 4519 participants aged 36-75 years, as the baseline for the present study, with follow-up measurements in round 5 (2008-2012), and 6 (2013-2017), including self-reported pain and metabolic factors, which were measured either via self-report or physical assessment.

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Skin autofluorescence (SAF), reflecting advanced glycation end-products' accumulation in tissue, has been proposed as a non-invasive aging biomarker. Yet, SAF has not been compared to well-established blood-based aging biomarkers such as MetaboHealth in association with frailty. Furthermore, no previous study determined the longitudinal association of SAF with frailty.

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Background: Metabolomic scores based on age (MetaboAge) and mortality (MetaboHealth) are considered indicators of overall health, but their association with cognition in the general population is unknown. Therefore, the association between MetaboAge/MetaboHealth and level and decline in cognition was studied, as were differences between men and women.

Methods: Data of 2821 participants (50% women, age range 45-75) from the Doetinchem Cohort Study was used.

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Background: Obesity may affect an individual's immune response and subsequent risk of infection, such as a SARS-CoV-2 infection. It is less clear whether overweight and long-term obesity also constitute risk factors. We investigated the association between the degree and duration of overweight and obesity and SARS-CoV-2 infection.

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Background: Older persons elicit heterogeneous antibody responses to vaccinations that generally are lower than those in younger, healthier individuals. As older age and certain comorbidities can influence these responses we aimed to identify health-related variables associated with antibody responses after repeated SARS-CoV-2 vaccinations and their persistence thereafter in SARS-CoV-2 infection-naïve and previously infected older persons.

Method: In a large longitudinal study of older persons of the general population 50 years and over, a sub-cohort of the longitudinal Doetinchem cohort study (n = 1374), we measured IgG antibody concentrations in serum to SARS-CoV-2 Spike protein (S1) and Nucleoprotein (N).

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Introduction: Given the known female disadvantage in physical and mental health, this study aimed to investigate sex differences in self-rated health (SRH) among older adults, considering the longitudinal course by age, birth cohort, and educational level.

Methods: Data from birth cohort 1911-1937 with baseline age 55-81 years (n = 3,107) and birth cohort 1938-1947 with baseline age 55-65 years (n = 1,002) from the Longitudinal Aging Study Amsterdam (LASA) were used. Mixed model analyses were used to examine sex differences in SRH (RAND General Health Perception Questionnaire [RAND-GHPQ], range 0-16) over the age course, testing for effect modification by the birth cohort and educational level (low, middle, high).

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Article Synopsis
  • The study investigates how health behaviors like smoking, physical inactivity, and alcohol use may mediate the relationship between depression, anxiety, and different types of cancer, including lung and breast cancer.
  • Utilizing data from 18 cohorts with a total of 319,613 participants, the researchers performed two-stage meta-analyses to analyze these associations and calculate the mediating effects.
  • Results showed that smoking and physical inactivity significantly mediated links between depression, anxiety, and lung cancer, highlighting the importance of smoking cessation programs for individuals dealing with mental health issues.
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In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on () lifetime MDD diagnosis in 132,850 Dutch individuals. Currently, = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data.

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A risk factor model of body mass index (BMI) is an important building block of health simulations aimed at estimating government policy effects with regard to overweight and obesity. We created a model that generates representative population level distributions and that also mimics realistic BMI trajectories at an individual level so that policies aimed at individuals can be simulated. The model is constructed by combining several datasets.

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Background: Immune responses to vaccination vary widely between individuals. The aim of this study was to identify health-related variables potentially underlying the antibody responses to SARS-CoV-2 vaccination in older persons. We recruited participants in the long-running Doetinchem Cohort Study (DCS) who underwent vaccination as part of the national COVID-19 program, and measured antibody concentrations to SARS-CoV-2 Spike protein (S1) and Nucleoprotein (N) at baseline (T0), and a month after both the first vaccination (T1), and the second vaccination (T2).

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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.

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Introduction: Developing sustainable health policy requires an understanding of the future demand for health and social care. We explored the characteristics of the 65+ population in the Netherlands in 2020 and 2040, focusing on two factors that determine care needs: (1) the occurrence of complex health problems and (2) the availability of resources to manage health and care (e.g.

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Both (biological) sex and (socio-cultural) gender are relevant for health but in large-scale studies specific gender measures are lacking. Using a masculine gender-score based on 'traditional masculine-connotated aspects of everyday life', we explored how masculinity may affect sex differences in the prevalence of chronic health problems. We used cross-sectional data (2008-2012) from the Doetinchem Cohort Study to calculate a masculine gender-score (range 0-19) using information on work, informal care, lifestyle and emotions.

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Article Synopsis
  • The study explores predictors of healthy physiological aging by analyzing data from 2815 participants across four generations over 30 years.
  • The key findings indicate that overweight and cholesterol-related factors are the most significant predictors, along with diet and education level.
  • The prediction model's effectiveness was modest, highlighting the need for further research to validate these results in different populations.
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Background: Although it is known that health literacy (HL) plays an explanatory role in educational inequalities in health, it is unknown whether this role varies across age groups.

Objective: The purpose of this study was to investigate whether the mediating role of HL in educational inequalities in four health outcomes varies across age groups: age 46 to 58 years, age 59 to 71 years, and age 72 to 84 years.

Methods: We used data from the Dutch Doetinchem Cohort Study, which included 3,448 participants.

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Background: In a substantial subgroup of depressed patients, atypical, energy-related depression symptoms (e.g. increased appetite/weight, hypersomnia, loss of energy) tend to cluster with immuno-metabolic dysregulations (e.

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For five health-related lifestyle factors (physical activity, weight, smoking, sleep, and alcohol consumption) we describe both population trends and individual changes over a period of 30 years in the same adult population. Dichotomous indicators (healthy/unhealthy) of lifestyle were analyzed for 3,139 participants measured every 5 years in the Doetinchem Cohort Study (1987-2017). Population trends over 30 years in physical inactivity and "unhealthy" alcohol consumption were flat (i.

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Vaccine-induced protection against severe COVID-19, hospitalization, and death is of the utmost importance, especially in the elderly. However, limited data are available on humoral immune responses following COVID-19 vaccination in the general population across a broad age range. We performed an integrated analysis of the effect of age, sex, and prior SARS-CoV-2 infection on Spike S1-specific (S1) IgG concentrations up to three months post-BNT162b2 (Pfizer/BioNTech; Comirnaty) vaccination.

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Article Synopsis
  • * In a study involving 132 T2D cases and 132 matched controls, researchers found that certain CpG sites exhibit different DNAm trajectories, indicating accelerated aging in those who develop T2D compared to healthy individuals.
  • * The findings suggest specific DNAm changes occur up to 10 years before T2D diagnosis, pointing to the need for more research on biomarkers of biological aging to predict age-related diseases.
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Background: To explore whether differences between men and women in the sensitivity to (strength of the association) and/or in the exposure to determinants (prevalence) contribute to the difference in physical functioning, with women reporting more limitations.

Methods: Data of the Doetinchem Cohort Study was used (n = 5856, initial ages 26-70 years), with follow-up measurements every 5 years (up to 20). Physical functioning (subscale SF-36, range:0-100), sex (men or women) and a number of socio-demographic, lifestyle- and health-related determinants were assessed.

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Due to the wealth of exposome data from longitudinal cohort studies that is currently available, the need for methods to adequately analyze these data is growing. We propose an approach in which machine learning is used to identify longitudinal exposome-related predictors of health, and illustrate its potential through an application. Our application involves studying the relation between exposome and self-perceived health based on the 30-year running Doetinchem Cohort Study.

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Objectives: To investigate the contribution of behavioural, social and psychological factors to inequalities in mortality by educational level between birth cohorts.

Design: Cohort-sequential design.

Setting: Two population-based studies in the Netherlands: the Longitudinal Aging Study Amsterdam (LASA) and the Doetinchem Cohort Study (DCS).

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Background: This study aims to describe individual leisure-time physical activity patterns among Dutch adults over a 20-year period, and to compare baseline characteristics of participants with different patterns.

Methods: The study population consisted of 2,518 adults (53% women) aged 26-65 years at baseline, measured every 5 years over a 20-year period. Self-reported physical activity measurements (from 1994 to 2017) were used to compose five (predefined) patterns: stable active, becoming active, becoming inactive, stable inactive, and varying physical activity.

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Aims/hypothesis: Type 2 diabetes is a complex metabolic disease with increasing prevalence worldwide. Improving the prediction of incident type 2 diabetes using epigenetic markers could help tailor prevention efforts to those at the highest risk. The aim of this study was to identify predictive methylation markers for incident type 2 diabetes by combining epigenome-wide association study (EWAS) results from five prospective European cohorts.

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Objective: The aim of this exploratory study was to investigate the development of low-grade inflammation during ageing and its relationship with frailty.

Methods: The trajectories of 18 inflammatory markers measured in blood samples, collected at 5-year intervals over a period of 20 years from 144 individuals aged 65-75 years at the study endpoint, were related to the degree of frailty later in life.

Results: IFN-γ-related markers and platelet activation markers were found to change in synchrony.

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