Literature DB >> 21918455

Estimating bias from loss to follow-up in the Danish National Birth Cohort.

Naomi Greene1, Sander Greenland, Jørn Olsen, Ellen Aagaard Nohr.   

Abstract

Loss to follow-up in cohort studies may result in biased association estimates. Of 61,895 women entering the Danish National Birth Cohort and completing the first data-collection phase, 37,178 (60%) opted to be in the 7-year follow-up. Using national registry data to obtain end point information on all members of the cohort, we estimated associations in the baseline and the 7-year follow-up participant populations for 5 exposure-outcome associations: (a) size at birth and childhood asthma, (b) assisted reproductive treatment and childhood hospitalizations, (c) prepregnancy body mass index and childhood infections, (d) alcohol drinking in early pregnancy and childhood developmental disorders, and (e) maternal smoking in pregnancy and childhood attention-deficit hyperactivity disorder (ADHD). We estimated follow-up bias in the odds or rate ratios by calculating relative ratios. For all but one of the above analyses, the bias appeared to be small, between -10% and +8%. For maternal smoking in pregnancy and childhood ADHD, we estimated a positive bias of approximately 33% (95% bootstrap limits of -30% and +152%). The presence and magnitude of bias due to loss to follow-up depended on the nature of the factors or outcomes examined, with the most pronounced contribution in this study coming from maternal smoking. Our methods and results may inform bias analyses in future pregnancy cohort studies.

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Year:  2011        PMID: 21918455     DOI: 10.1097/EDE.0b013e31822939fd

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  51 in total

1.  Complexities of sibling analysis when exposures and outcomes change with time and birth order.

Authors:  Madhuri Sudan; Leeka I Kheifets; Onyebuchi A Arah; Hozefa A Divan; Jørn Olsen
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-25       Impact factor: 5.563

2.  Bias from self selection and loss to follow-up in prospective cohort studies.

Authors:  Guido Biele; Kristin Gustavson; Nikolai Olavi Czajkowski; Roy Miodini Nilsen; Ted Reichborn-Kjennerud; Per Minor Magnus; Camilla Stoltenberg; Heidi Aase
Journal:  Eur J Epidemiol       Date:  2019-08-26       Impact factor: 8.082

3.  "Big data" versus "big brother": on the appropriate use of large-scale data collections in pediatrics.

Authors:  Janet Currie
Journal:  Pediatrics       Date:  2013-04       Impact factor: 7.124

4.  Evaluation of Selection Bias in an Internet-based Study of Pregnancy Planners.

Authors:  Elizabeth E Hatch; Kristen A Hahn; Lauren A Wise; Ellen M Mikkelsen; Ramya Kumar; Matthew P Fox; Daniel R Brooks; Anders H Riis; Henrik Toft Sorensen; Kenneth J Rothman
Journal:  Epidemiology       Date:  2016-01       Impact factor: 4.822

5.  Spinal pain and co-occurrence with stress and general well-being among young adolescents: a study within the Danish National Birth Cohort.

Authors:  Sandra Elkjær Stallknecht; Katrine Strandberg-Larsen; Lise Hestbæk; Anne-Marie Nybo Andersen
Journal:  Eur J Pediatr       Date:  2017-05-03       Impact factor: 3.183

Review 6.  Intrauterine Exposure to Acetaminophen and Adverse Developmental Outcomes: Epidemiological Findings and Methodological Issues.

Authors:  Zeyan Liew; Andreas Ernst
Journal:  Curr Environ Health Rep       Date:  2021-01-04

7.  Predicting Later Study Withdrawal in Participants Active in a Longitudinal Birth Cohort Study for 1 Year: The TEDDY Study.

Authors:  Suzanne Bennett Johnson; Kristian F Lynch; Judith Baxter; Barbro Lernmark; Roswith Roth; Tuula Simell; Laura Smith
Journal:  J Pediatr Psychol       Date:  2015-09-27

8.  Factors Influencing Exclusive Breastfeeding in Early Infancy: A Prospective Study in North Central Nigeria.

Authors:  Olukunmi O Balogun; Satomi Kobayashi; Kola M Anigo; Erika Ota; Keiko Asakura; Satoshi Sasaki
Journal:  Matern Child Health J       Date:  2016-02

9.  Prenatal and Postnatal Cell Phone Exposures and Headaches in Children.

Authors:  Madhuri Sudan; Leeka Kheifets; Onyebuchi Arah; Jorn Olsen; Lonnie Zeltzer
Journal:  Open Pediatr Med Journal       Date:  2012-12-05

10.  Trends in cell phone use among children in the Danish national birth cohort at ages 7 and 11 years.

Authors:  Madhuri Sudan; Jørn Olsen; Torben Sigsgaard; Leeka Kheifets
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-03-23       Impact factor: 5.563

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