Feasibility of Using Web-based Questionnaires in Large Population-based Epidemiological Studies

2006 ◽  
Vol 21 (2) ◽  
pp. 103-111 ◽  
Author(s):  
Alexandra Ekman ◽  
Paul W. Dickman ◽  
Åsa Klint ◽  
Elisabete Weiderpass ◽  
Jan-Eric Litton
Keyword(s):  
Large Population ◽  
Epidemiological Studies ◽  
Population Based ◽  
Web Based

scholarly journals Netherlands Twin Register: From Twins to Twin Families

2006 ◽  
Vol 9 (6) ◽  
pp. 849-857 ◽  
Author(s):  
Dorret I. Boomsma ◽  
Eco J. C. de Geus ◽  
Jacqueline M. Vink ◽  
Janine H. Stubbe ◽  
Marijn A. Distel ◽  
...  
Keyword(s):  
Large Population ◽  
Epidemiological Studies ◽  
Population Based ◽  
Adolescent And Young Adult ◽  
City Councils ◽  
Blood And Urine Samples ◽  
Twin Families ◽  
New Research ◽  
Adult Twins ◽  
National Databases

AbstractIn the late 1980s The Netherlands Twin Register (NTR) was established by recruiting young twins and multiples at birth and by approaching adolescent and young adult twins through city councils. The Adult NTR (ANTR) includes twins, their parents, siblings, spouses and their adult offspring. The number of participants in the ANTR who take part in survey and / or laboratory studies is over 22,000 subjects. A special group of participants consists of sisters who are mothers of twins. In the Young NTR (YNTR), data on more than 50,000 young twins have been collected. Currently we are extending the YNTR by including siblings of twins. Participants in YNTR and ANTR have been phenotyped every 2 to 3 years in longitudinal survey studies, since 1986 and 1991 for the YNTR and ANTR, respectively. The resulting large population-based datasets are used for genetic epidemiological studies and also, for example, to advance phenotyping through the development of new syndrome scales based on existing items from other inventories. New research developments further include brain imaging studies in selected and unselected groups, clinical assessment of psychopathology through interviews, and cross-referencing the NTR database to other national databases. A large biobank enterprise is ongoing in the ANTR in which blood and urine samples are collected for genotyping, expression analysis, and meta-bolomics studies. In this paper we give an update on the YNTR and ANTR phenotyping and on the ongoing ANTR biobank studies.

scholarly journals 0154 A new, efficient web-based tool to collect and code lifetime job histories in large population-based studies: the COPD project in the UK Biobank cohort

2014 ◽  
Vol 71 (Suppl 1) ◽  
pp. A19.1-A19
Author(s):  
Sara De Matteis ◽  
Lesley Rushton ◽  
Debbie Jarvis ◽  
Magda Wheatley ◽  
Hadia Azhar ◽  
...  
Keyword(s):  
Large Population ◽  
Population Based ◽  
Uk Biobank ◽  
Web Based ◽  
The Uk

Headache

2002 ◽  
Vol 12 (2) ◽  
pp. 127-144
Author(s):  
GJF Saldanha ◽  
CG Clough ◽  
N Ward
Keyword(s):  
General Population ◽  
Elderly Population ◽  
Large Population ◽  
The Elderly ◽  
Epidemiological Studies ◽  
Population Based ◽  
Medical Attention ◽  
Population Based Study ◽  
The Usa ◽  
One Year

Little is known about the frequency of headache in the elderly population as few epidemiological studies have been carried out. In one year in the USA, 70% of the general population had a headache, 5% of whom sought medical attention. In a large population-based study carried out in East Boston, US, some 17% of patients over 65 yrs of age reported frequent headache, with 53% of women and 36% of men reporting headache in the previous year.

A new web-based tool to collect and code lifetime job-histories in large population-based studies

2015 ◽  
Author(s):  
Sara De Matteis ◽  
Debbie Jarvis ◽  
Magda Wheatley ◽  
Alan Young ◽  
Heather Young ◽  
...  
Keyword(s):  
Large Population ◽  
Population Based ◽  
Web Based

Does Habitual Physical Activity Prevent Insomnia? A Cross-Sectional and Longitudinal Study of Elderly Japanese

2013 ◽  
Vol 21 (2) ◽  
pp. 119-139 ◽  
Author(s):  
Sachiko Inoue ◽  
Takashi Yorifuji ◽  
Masumi Sugiyama ◽  
Toshiki Ohta ◽  
Kazuko Ishikawa-Takata ◽  
...  
Keyword(s):  
Physical Activity ◽  
High Frequency ◽  
Large Population ◽  
Epidemiological Studies ◽  
Population Based ◽  
Habitual Physical Activity ◽  
Protective Effects ◽  
Cross Sectional ◽  
Population Based Study ◽  
Elderly Japanese

Few epidemiological studies have examined the potential protective effects of physical activity on insomnia. The authors thus evaluated the association between physical activity and insomnia in a large population-based study in Shizuoka, Japan. Individual data were obtained from participants in an ongoing cohort study. A total of 14,001 older residents who completed questionnaires were followed for 3 yr. Of these, 10,211 and 3,697 participants were eligible for the cross-sectional and longitudinal analyses, respectively. The authors obtained information about the frequency of physical activity and insomnia. Then, the adjusted odds ratios and 95% confidence intervals between physical activity and insomnia were estimated. Habitual physical activity was related to lower prevalence of insomnia. Frequent physical activity also reduced the incidence of insomnia, especially difficulty maintaining sleep. For elderly people with sufficient mobility and no preexisting disease, high-frequency physical activity (e.g., 5 or more days/wk) may help reduce insomnia.

scholarly journals Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Eric Frechette ◽  
Keegan Guidolin ◽  
Ayman Seyam ◽  
Yun-Hee Choi ◽  
Sarah Jones ◽  
...  
Keyword(s):  
Spontaneous Pneumothorax ◽  
Large Population ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Epidemiological Studies ◽  
Population Based ◽  
Primary Spontaneous Pneumothorax ◽  
Administrative Databases ◽  
Main Diagnosis ◽  
Hospital Administrative

Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct of epidemiological studies on the subject.Objective. To validate the accuracy of an algorithm that identifies cases of PSP from administrative databases.Methods. The charts of 150 patients who consulted the emergency room (ER) with a recorded main diagnosis of pneumothorax were reviewed to define the type of pneumothorax that occurred. The corresponding hospital administrative data collected during previous hospitalizations and ER visits were processed through the proposed algorithm. The results were compared over two different age groups.Results. There were 144 cases of pneumothorax correctly coded (96%). The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%,p=0.038) and positive predictive value (87% versus 46%,p<0.001) in patients under 40 years of age than in older patients.Conclusions. The proposed algorithm is adequate to identify cases of PSP from administrative databases in the age group classically associated with the disease. This makes possible its utilization in large population-based studies.

scholarly journals Occupational self-coding and automatic recording (OSCAR): a novel web-based tool to collect and code lifetime job histories in large population-based studies

2016 ◽  
Vol 43 (2) ◽  
pp. 181-186 ◽  
Author(s):  
Sara De Matteis ◽  
Deborah Jarvis ◽  
Heather Young ◽  
Alan Young ◽  
Naomi Allen ◽  
...  
Keyword(s):  
Large Population ◽  
Population Based ◽  
Automatic Recording ◽  
Web Based

scholarly journals QDECR: A Flexible, Extensible Vertex-Wise Analysis Framework in R

2021 ◽  
Vol 15 ◽  
Author(s):  
Sander Lamballais ◽  
Ryan L. Muetzel
Keyword(s):  
Modular Design ◽  
Large Population ◽  
R Package ◽  
Epidemiological Studies ◽  
Population Based ◽  
Design Matrix ◽  
Linear Modeling ◽  
Generic Modules ◽  
Cortical Morphology

The cerebral cortex is fundamental to the functioning of the mind and body. In vivo cortical morphology can be studied through magnetic resonance imaging in several ways, including reconstructing surface-based models of the cortex. However, existing software for surface-based statistical analyses cannot accommodate “big data” or commonly used statistical methods such as the imputation of missing data, extensive bias correction, and non-linear modeling. To address these shortcomings, we developed the QDECR package, a flexible and extensible R package for group-level statistical analysis of cortical morphology. QDECR was written with large population-based epidemiological studies in mind and was designed to fully utilize the extensive modeling options in R. QDECR currently supports vertex-wise linear regression. Design matrix generation can be done through simple, familiar R formula specification, and includes user-friendly extensions for R options such as polynomials, splines, interactions and other terms. QDECR can handle unimputed and imputed datasets with thousands of participants. QDECR has a modular design, and new statistical models can be implemented which utilize several aspects from other generic modules which comprise QDECR. In summary, QDECR provides a framework for vertex-wise surface-based analyses that enables flexible statistical modeling and features commonly used in population-based and clinical studies, which have until now been largely absent from neuroimaging research.

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