1,721,235 research outputs found

    The Lifelines Cohort Study: A rich data source for demographers

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    Population-based cohort studies are important for causal analyses between demographic events and healthrelated outcomes. The University of Groningen has been building the Lifelines Cohort Study, which offers rich possibilities for cross-fertilization between demographers and biomedical researchers. A primer for theuninitiated

    The Lifelines Cohort Study: A rich data source for demographers

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    Population-based cohort studies are important for causal analyses between demographic events and healthrelated outcomes. The University of Groningen has been building the Lifelines Cohort Study, which offers rich possibilities for cross-fertilization between demographers and biomedical researchers. A primer for theuninitiated

    The Lifelines Cohort Study: A rich data source for demographers

    Full text link
    Population-based cohort studies are important for causal analyses between demographic events and healthrelated outcomes. The University of Groningen has been building the Lifelines Cohort Study, which offers rich possibilities for cross-fertilization between demographers and biomedical researchers. A primer for theuninitiated

    Demographic characteristics of the index population, family members and self-registrants of the LifeLines Cohort Study.

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    <p>Direct standardization for age, sex, marital status and level of urbanization to the population of the north of the Netherlands at May 1<sup>st</sup> 2012 was used. Marital status and level of urbanization were standardized for age and sex only.</p><p>Demographic characteristics of the index population, family members and self-registrants of the LifeLines Cohort Study.</p

    Socioeconomic characteristics, lifestyle, chronic diseases and general health in the index population, family members and self-registrants of the LifeLines Cohort Study.

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    <p>Direct standardization for age, sex, marital status and level of urbanization to the population of the north of the Netherlands at May 1<sup>st</sup> 2012 was used.</p><p>Socioeconomic characteristics, lifestyle, chronic diseases and general health in the index population, family members and self-registrants of the LifeLines Cohort Study.</p

    Dietary Intake in the Lifelines Cohort Study: Baseline Results from the Flower Food Frequency Questionnaire among 59,982 Participants

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    The role of nutrition in health and disease is well established. However, more research on this topic is needed to fill gaps in our current knowledge. The Lifelines cohort study, a large Dutch prospective cohort study, was established as a resource for international researchers, aiming to obtain insight into the aetiology of healthy ageing. The study started with 167,729 participants, covering three generations, aiming to follow them for thirty years. This article describes the habitual dietary intake, assessed using the Flower Food Frequency Questionnaire (FFQ), among Lifelines cohort study participants at baseline, stratified by sex and different categories of age, socioeconomic status (SES) and body mass index (BMI). A total of 59,982 adults (23,703 men and 36,279 women), who completed the Flower FFQ and reported plausible habitual dietary intake, were included in the analyses. Median daily energy intake was higher in men (2368 kcal) than in women (1848 kcal), as well as macronutrient intake. Energy and macronutrient intake decreased with increasing age and BMI categories; no differences were observed between SES categories. Intake of most micronutrients was higher in men than in women. Differences were observed between age categories, but not between SES and BMI categories. Food groups were consumed in different amounts by men and women; differences between age, SES and BMI categories were observed as well. The Lifelines cohort study provides extensive dietary intake data, which are generalisable to the general Dutch population. As such, highly valuable dietary intake data are available to study associations between dietary intake and the development of chronic diseases and healthy aging

    The Lifelines Cohort Study: a data source available for studying informal caregivers’ experiences and the outcomes of informal caregiving

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    Background Informal care is taking an increasingly important role in our health care system, and an improvement in our understanding of caregiving experiences and outcomes has become more relevant. The Lifelines informal care add-on study (Lifelines ICAS) was initiated within the Lifelines Cohort Study to cover the large heterogeneity in the caregiver population and to investigate the complex interplay among the characteristics of the caregiver, care recipient, and care situation and positive and negative caregiver outcomes. In this paper, we discuss the study design and data collection procedures of Lifelines ICAS, provide a detailed overview of its measures, and describe the caregiver study population. Methods Lifelines participants who participated in the 2nd Lifelines follow-up questionnaire were asked whether they provided informal care. Subsequently, they were invited to participate in Lifelines ICAS. Descriptive statistics were used to describe all informal caregivers in the 2nd Lifelines follow-up questionnaire and to describe the subsample of informal caregivers participating in Lifelines ICAS. Results A total of 11,651 Lifelines participants were self-identified as an informal caregiver and provided basic information about their care situation. A subsample of 965 informal caregivers participated in Lifelines ICAS and completed a comprehensive questionnaire about their care situation. In this subsample, the average age of caregivers was 53 years (SD 9.8), 75% were female, and 56% cared for a parent (in-law). Care recipients were on average 68 years old (SD 23.5), and 64% were female. Discussion Considering that informal caregivers are a huge resource for our health care system, Lifelines ICAS enables the study of differences among caregivers, care recipients, and care situations, as well as the study of common characteristics and features across caregiver groups. Notably, data from the Lifelines Cohort Study and Lifelines ICAS are available to all researchers on a fee-for-service basis, and Lifelines ICAS data may be enhanced by one or more follow-up measurements or linkages with other data sources

    sj-docx-1-hpq-10.1177_13591053241243285 – Supplemental material for Childhood maltreatment and the risk of impaired glucose metabolism or type 2 diabetes in young adults: Findings from the Lifelines Cohort Study

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    Supplemental material, sj-docx-1-hpq-10.1177_13591053241243285 for Childhood maltreatment and the risk of impaired glucose metabolism or type 2 diabetes in young adults: Findings from the Lifelines Cohort Study by Sonya S. Deschênes, Finiki Nearchou, Amy McInerney, Norbert Schmitz, Frans Pouwer and Arie Nouwen in Journal of Health Psychology</p

    Comined effects of smoking and alcohol on metabolic syndrome: the lifelines cohort study

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    Introduction - The development of metabolic syndrome (MetS) is influenced by environmental factors such as smoking and alcohol consumption. We determined the combined effects of smoking and alcohol on MetS and its individual components. Methods - 64,046 participants aged 18–80 years from the LifeLines Cohort study were categorized into three body mass index (BMI) classes (BMI1 drink/day) and tobacco showed higher triglycerides levels. Up to 2 drinks/day was associated with a smaller waist circumference in overweight and obese individuals. Consumption of >2 drinks/day increased blood pressure, with the strongest associations found for heavy smokers. The overall metabolic profile of wine drinkers was better than that of non-drinkers or drinkers of beer or spirits/mixed drinks. Conclusion - Light alcohol consumption may moderate the negative associations of smoking with MetS. Our results suggest that the lifestyle advice that emphasizes smoking cessation and the restriction of alcohol consumption to a maximum of 1 drink/day, is a good approach to reduce the prevalence of MetS. Figure

    The LifeLines Cohort Study: Prevalence and treatment of cardiovascular disease and risk factors

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    AbstractBackgroundThe LifeLines Cohort Study is a large three-generation prospective study and Biobank. Recruitment and data collection started in 2006 and follow-up is planned for 30years. The central aim of LifeLines is to understand healthy ageing in the 21st century. Here, the study design, methods, baseline and major cardiovascular phenotypes of the LifeLines Cohort Study are presented.Methods and resultsBaseline cardiovascular phenotypes were defined in 9700 juvenile (8–18years) and 152,180 adult (≥18years) participants. Cardiovascular disease (CVD) was defined using ICD-10 criteria. At least one cardiovascular risk factor was present in 73% of the adult participants. The prevalence, adjusted for the Dutch population, was determined for risk factors (hypertension (33%), hypercholesterolemia (19%), diabetes (4%), overweight (56%), and current smoking (19%)) and CVD (myocardial infarction (1.8%), heart failure (1.0%), and atrial fibrillation (1.3%)). Overall CVD prevalence increased with age from 9% in participants<65years to 28% in participants≥65years. Of the participants with hypertension, hypercholesterolemia and diabetes, respectively 75%, 96% and 41% did not receive preventive pharmacotherapy.ConclusionsThe contemporary LifeLines Cohort Study provides researchers with unique and novel opportunities to study environmental, phenotypic, and genetic risk factors for CVD and is expected to improve our knowledge on healthy ageing. In this contemporary Western cohort we identified a remarkable high percentage of untreated CVD risk factors suggesting that not all opportunities to reduce the CVD burden are utilised
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