Representativeness of the LifeLines Cohort Study.

BACKGROUND:LifeLines is a large prospective population-based three generation cohort study in the north of the Netherlands. Different recruitment strategies were adopted: recruitment of an index population via general practitioners, subsequent inclusion of their family members, and online self-regis...

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Main Authors: Bart Klijs, Salome Scholtens, Jornt J Mandemakers, Harold Snieder, Ronald P Stolk, Nynke Smidt
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4557968?pdf=render
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spelling doaj-59ed0e5957a84a8c89f59ea2ca48a1182020-11-25T02:40:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01109e013720310.1371/journal.pone.0137203Representativeness of the LifeLines Cohort Study.Bart KlijsSalome ScholtensJornt J MandemakersHarold SniederRonald P StolkNynke SmidtBACKGROUND:LifeLines is a large prospective population-based three generation cohort study in the north of the Netherlands. Different recruitment strategies were adopted: recruitment of an index population via general practitioners, subsequent inclusion of their family members, and online self-registration. Our aim was to investigate the representativeness of the adult study population at baseline and to evaluate differences in the study population according to recruitment strategy. METHODS:Demographic characteristics of the LifeLines study population, recruited between 2006-2013, were compared with the total adult population in the north of the Netherlands as registered in the Dutch population register. Socioeconomic characteristics, lifestyle, chronic diseases, and general health were further compared with participants of the Permanent Survey of Living Conditions within the region (2005-2011, N = 6,093). Differences according to recruitment strategy were assessed. RESULTS:Compared with the population of the north of the Netherlands, LifeLines participants were more often female, middle aged, married, living in a semi-urban place and Dutch native. Adjusted for differences in demographic composition, in LifeLines a smaller proportion had a low educational attainment (5% versus 14%) or had ever smoked (54% versus 66%). Differences in the prevalence of various chronic diseases and low general health scores were mostly smaller than 3%. The age profiles of the three recruitment groups differed due to age related inclusion criteria of the recruitment groups. Other differences according to recruitment strategy were small. CONCLUSIONS:Our results suggest that, adjusted for differences in demographic composition, the LifeLines adult study population is broadly representative for the adult population of the north of the Netherlands. The recruitment strategy had a minor effect on the level of representativeness. These findings indicate that the risk of selection bias is low and that risk estimates in LifeLines can be generalized to the general population.http://europepmc.org/articles/PMC4557968?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Bart Klijs
Salome Scholtens
Jornt J Mandemakers
Harold Snieder
Ronald P Stolk
Nynke Smidt
spellingShingle Bart Klijs
Salome Scholtens
Jornt J Mandemakers
Harold Snieder
Ronald P Stolk
Nynke Smidt
Representativeness of the LifeLines Cohort Study.
PLoS ONE
author_facet Bart Klijs
Salome Scholtens
Jornt J Mandemakers
Harold Snieder
Ronald P Stolk
Nynke Smidt
author_sort Bart Klijs
title Representativeness of the LifeLines Cohort Study.
title_short Representativeness of the LifeLines Cohort Study.
title_full Representativeness of the LifeLines Cohort Study.
title_fullStr Representativeness of the LifeLines Cohort Study.
title_full_unstemmed Representativeness of the LifeLines Cohort Study.
title_sort representativeness of the lifelines cohort study.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description BACKGROUND:LifeLines is a large prospective population-based three generation cohort study in the north of the Netherlands. Different recruitment strategies were adopted: recruitment of an index population via general practitioners, subsequent inclusion of their family members, and online self-registration. Our aim was to investigate the representativeness of the adult study population at baseline and to evaluate differences in the study population according to recruitment strategy. METHODS:Demographic characteristics of the LifeLines study population, recruited between 2006-2013, were compared with the total adult population in the north of the Netherlands as registered in the Dutch population register. Socioeconomic characteristics, lifestyle, chronic diseases, and general health were further compared with participants of the Permanent Survey of Living Conditions within the region (2005-2011, N = 6,093). Differences according to recruitment strategy were assessed. RESULTS:Compared with the population of the north of the Netherlands, LifeLines participants were more often female, middle aged, married, living in a semi-urban place and Dutch native. Adjusted for differences in demographic composition, in LifeLines a smaller proportion had a low educational attainment (5% versus 14%) or had ever smoked (54% versus 66%). Differences in the prevalence of various chronic diseases and low general health scores were mostly smaller than 3%. The age profiles of the three recruitment groups differed due to age related inclusion criteria of the recruitment groups. Other differences according to recruitment strategy were small. CONCLUSIONS:Our results suggest that, adjusted for differences in demographic composition, the LifeLines adult study population is broadly representative for the adult population of the north of the Netherlands. The recruitment strategy had a minor effect on the level of representativeness. These findings indicate that the risk of selection bias is low and that risk estimates in LifeLines can be generalized to the general population.
url http://europepmc.org/articles/PMC4557968?pdf=render
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