Literature DB >> 26840808

Assessment of participation bias in cohort studies: systematic review and meta-regression analysis.

Sérgio Henrique Almeida da Silva Junior1, Simone M Santos1, Cláudia Medina Coeli2, Marilia Sá Carvalho3.   

Abstract

The proportion of non-participation in cohort studies, if associated with both the exposure and the probability of occurrence of the event, can introduce bias in the estimates of interest. The aim of this study is to evaluate the impact of participation and its characteristics in longitudinal studies. A systematic review (MEDLINE, Scopus and Web of Science) for articles describing the proportion of participation in the baseline of cohort studies was performed. Among the 2,964 initially identified, 50 were selected. The average proportion of participation was 64.7%. Using a meta-regression model with mixed effects, only age, year of baseline contact and study region (borderline) were associated with participation. Considering the decrease in participation in recent years, and the cost of cohort studies, it is essential to gather information to assess the potential for non-participation, before committing resources. Finally, journals should require the presentation of this information in the papers.

Entities:  

Mesh:

Year:  2015        PMID: 26840808     DOI: 10.1590/0102-311X00133814

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  8 in total

1.  Establishment of a cohort for deep phenotyping of the immune response to influenza vaccination among elderly individuals recruited from the general population.

Authors:  Manas K Akmatov; Peggy Riese; Marcus May; Leonhard Jentsch; Malik W Ahmed; Damaris Werner; Anja Rösel; Megan Tyler; Kevin Pessler; Jana Prokein; Inga Bernemann; Norman Klopp; Blair Prochnow; Stephanie Trittel; Aravind Tallam; Thomas Illig; Christoph Schindler; Carlos A Guzmán; Frank Pessler
Journal:  Hum Vaccin Immunother       Date:  2017-04-10       Impact factor: 3.452

2.  50 % Response rates: half-empty, or half-full?

Authors:  James V Lacey; Kristen E Savage
Journal:  Cancer Causes Control       Date:  2016-04-21       Impact factor: 2.506

3.  Diabetes-Related Distress and Depressive Symptoms Are Not Merely Negative over a 3-Year Period in Malaysian Adults with Type 2 Diabetes Mellitus Receiving Regular Primary Diabetes Care.

Authors:  Boon-How Chew; Rimke C Vos; Rebecca K Stellato; Guy E H M Rutten
Journal:  Front Psychol       Date:  2017-10-17

4.  Factors associated with health survey response among young employees: a register-based study using online, mailed and telephone interview data collection methods.

Authors:  Tea Lallukka; Olli Pietiläinen; Sauli Jäppinen; Mikko Laaksonen; Jouni Lahti; Ossi Rahkonen
Journal:  BMC Public Health       Date:  2020-02-05       Impact factor: 3.295

5.  The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies: Evidence from the Swedish CardioPulmonary bioImage Study.

Authors:  Carl Bonander; Anton Nilsson; Jonas Björk; Anders Blomberg; Gunnar Engström; Tomas Jernberg; Johan Sundström; Carl Johan Östgren; Göran Bergström; Ulf Strömberg
Journal:  PLoS One       Date:  2022-03-08       Impact factor: 3.240

6.  Depression, diabetes and immigration status: a retrospective cohort study using the Canadian Longitudinal Study on Aging.

Authors:  Doaa Farid; Patricia Li; Deborah Da Costa; Waqqas Afif; Jason Szabo; Kaberi Dasgupta; Elham Rahme
Journal:  CMAJ Open       Date:  2022-06-14

7.  Cohort profile: The prospective study on Chinese elderly with multimorbidity in primary care in Hong Kong.

Authors:  Dexing Zhang; Regina Wing Shan Sit; Carmen Wong; Dan Zou; Stewart W Mercer; Marjorie C Johnston; Samuel Yeung Shan Wong
Journal:  BMJ Open       Date:  2020-02-20       Impact factor: 2.692

8.  Selection bias in general practice research: analysis in a cohort of pregnant Danish women.

Authors:  Ruth K Ertmann; Dagny R Nicolaisdottir; Jakob Kragstrup; Volkert Siersma; Gritt Overbeck; Philip Wilson; Melissa C Lutterodt
Journal:  Scand J Prim Health Care       Date:  2020-11-26       Impact factor: 2.581

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.