Literature DB >> 30222051

Lolland-Falster Health Study: Study protocol for a household-based prospective cohort study.

Randi Jepsen1, Cecilie Lindström Egholm2, John Brodersen3,4, Erik Simonsen5,6, Jesper Grarup2, Arne Cyron7, Christina Ellervik2,5, Knud Rasmussen2.   

Abstract

Introduction: Lolland-Falster consists of two islands in the southern part of Denmark where income is lower and life expectancy is shorter than in the general Danish population. It is a mixed rural-provincial area with approximately 100,000 inhabitants. The Lolland-Falster Health Study was initiated to gain knowledge on the determinants of health in this disadvantaged area.
Methods: The study is a household-based prospective cohort study including people of all ages. The entire household of randomly selected inhabitants is allocated either to an invited group or to an uninvited, non-contacted control group. The data collection encompasses questionnaires, physical examination and biological samples, i.e. blood and urine for same-day analysis and biobank storage, and saliva and faeces also for biobank storage. The civil registration number links collected data for each individual, family and household, with information in Danish registers. The data collection started in February 2016 and is estimated to end by 2019 after the enrolment of 20,000 people. Analysis: A number of in-depth sub-studies are planned. Emphasis will be given to analysis of intra- and inter-family variations in health determinants, genetics, lifestyle and health status. Ethics: Region Zealand's Ethical Committee on Health Research (SJ-421) and the Danish Data Protection Agency (REG-24-2015) approved the study. Trial registration: Clinicaltrials.gov (NCT02482896). Strength and limitations of this study: The strength of this study is that Lolland-Falster Health Study is a useful scientific resource for investigating cross-sectional difference and time trends within and between individuals, families and households. LOFUS adds diversity to the previously collected Danish population studies in urbanized areas. The limitation is that data collection is expensive. Conclusions: LOFUS will contribute to the knowledge on health in disadvantaged, rural-provincial areas.

Entities:  

Keywords:  Epidemiology; cohort analysis; family health; genetics; households; public health

Mesh:

Year:  2018        PMID: 30222051     DOI: 10.1177/1403494818799613

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  10 in total

1.  Validity and reliability of two Danish versions of the ICIQ-UI SF.

Authors:  Josephine Clausen; Helga Gimbel; Louise Thomsen Schmidt Arenholt; Ea Løwenstein
Journal:  Int Urogynecol J       Date:  2021-03-01       Impact factor: 2.894

2.  Are perceived barriers to accessing mental healthcare associated with socioeconomic position among individuals with symptoms of depression? Questionnaire-results from the Lolland-Falster Health Study, a rural Danish population study.

Authors:  Aake Packness; Anders Halling; Erik Simonsen; Frans Boch Waldorff; Lene Halling Hastrup
Journal:  BMJ Open       Date:  2019-03-15       Impact factor: 2.692

3.  Questionnaire development for the Lolland-Falster Health Study, Denmark: an iterative and incremental process.

Authors:  Cecilie Lindström Egholm; Aake Packness; Jakob Stokholm; Knud Rasmussen; Christina Ellervik; Erik Simonsen; Anne Illemann Christensen; Randi Jepsen
Journal:  BMC Med Res Methodol       Date:  2020-03-03       Impact factor: 4.615

4.  Associations between the SHARE frailty phenotype and common frailty characteristics: evidence from a large Danish population study.

Authors:  Katja Kemp Jacobsen; Randi Jepsen; Maurice A Lembeck; Charlotte Nilsson; Ellen Holm
Journal:  BMJ Open       Date:  2019-10-15       Impact factor: 2.692

5.  Resemblance in accelerometer-assessed physical activity in families with children: the Lolland-Falster Health Study.

Authors:  Therese Lockenwitz Petersen; Jan Christian Brønd; Peter Lund Kristensen; Eivind Aadland; Anders Grøntved; Randi Jepsen
Journal:  Int J Behav Nutr Phys Act       Date:  2020-12-04       Impact factor: 6.457

6.  The association between clusters of chronic conditions and psychological well-being in younger and older people-A cross-sectional, population-based study from the Lolland-Falster Health Study, Denmark.

Authors:  Lars Hermann Tang; Lau Caspar Thygesen; Tora Grauers Willadsen; Randi Jepsen; Karen la Cour; Anne Frølich; Anne Møller; Lars Bo Jørgensen; Søren T Skou
Journal:  J Comorb       Date:  2020-12-17

7.  HARTH: A Human Activity Recognition Dataset for Machine Learning.

Authors:  Aleksej Logacjov; Kerstin Bach; Atle Kongsvold; Hilde Bremseth Bårdstu; Paul Jarle Mork
Journal:  Sensors (Basel)       Date:  2021-11-25       Impact factor: 3.576

8.  Allostatic load as predictor of mortality: a cohort study from Lolland-Falster, Denmark.

Authors:  Neda Esmailzadeh Bruun-Rasmussen; George Napolitano; Christian Christiansen; Stig Egil Bojesen; Christina Ellervik; Randi Jepsen; Knud Rasmussen; Elsebeth Lynge
Journal:  BMJ Open       Date:  2022-05-27       Impact factor: 3.006

9.  Lung function in Lolland-Falster Health Study (LOFUS).

Authors:  Katja Kemp Jacobsen; Randi Jepsen; Uffe Bodtger; Knud Rasmussen; Gry St-Martin
Journal:  Clin Respir J       Date:  2022-09-02       Impact factor: 1.761

10.  Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study.

Authors:  Neda Esmailzadeh Bruun-Rasmussen; George Napolitano; Allan Kofoed-Enevoldsen; Stig Egil Bojesen; Christina Ellervik; Knud Rasmussen; Randi Jepsen; Elsebeth Lynge
Journal:  BMC Public Health       Date:  2020-11-16       Impact factor: 3.295

  10 in total

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