Literature DB >> 20349116

Selection by socioeconomic factors into the Danish National Birth Cohort.

Tine Neermann Jacobsen1, Ellen Aagaard Nohr, Morten Frydenberg.   

Abstract

BACKGROUND: Low participation at recruitment to the Danish National Birth Cohort (DNBC) has raised concern about non-participation bias. Objective To study the socioeconomic pattern of participation to the DNBC.
METHODS: Independently of the DNBC, we identified the DNBC source population in two geographical areas of Denmark by means of local birth registers with full coverage. Socioeconomic information came from national registers, and the source population consisted of 48,560 births including 15,290 participating women. For every socioeconomic characteristic, we estimated the prevalence ratio [prevalence (participants)/prevalence (source population)] which corresponds to the relative representation of the group (presented in percentages with 95% confidence intervals).
RESULTS: The overall participation rate was 31%. Women outside the work force or with no further education than compulsory school were underrepresented in the DNBC by 62% (59%; 64%) and 43% (41%; 45%), respectively. Also, women were underrepresented by 18% (13%; 23%) if they were unemployed, by 22% (20%; 24%) if they were in the lowest income group, 38% (35%; 40%) if they received a high proportion of social benefits, and 28% (24%; 31%) if they were singles. Particularly women with low resources according to two socioeconomic factors were strongly underrepresented, typically by 50-67%.
CONCLUSION: Groups with low socioeconomic resources in terms of education, occupation, income and civil status are underrepresented in the DNBC compared to the background population. These discrepancies must be taken into account when results from the DNBC and other cohorts of pregnant women are interpreted-especially when descriptive results are presented.

Entities:  

Mesh:

Year:  2010        PMID: 20349116     DOI: 10.1007/s10654-010-9448-2

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  23 in total

Review 1.  Recruitment procedures of EPIC-Germany. European Investigation into Cancer and Nutrition.

Authors:  H Boeing; A Korfmann; M M Bergmann
Journal:  Ann Nutr Metab       Date:  1999       Impact factor: 3.374

2.  Raising response rates: getting to yes.

Authors:  P Hartge
Journal:  Epidemiology       Date:  1999-03       Impact factor: 4.822

3.  Socio-economic determinants for participation in the Danish EPIC Diet, Cancer and Health cohort.

Authors:  A Olsen; A Tjønneland; G Engholm; K Overvad
Journal:  IARC Sci Publ       Date:  2002

4.  Nonresponse research--an underdeveloped field in epidemiology.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

5.  Does low participation in cohort studies induce bias?

Authors:  Ellen Aagaard Nohr; Morten Frydenberg; Tine Brink Henriksen; Jorn Olsen
Journal:  Epidemiology       Date:  2006-07       Impact factor: 4.822

6.  Non-response in a survey of cardiovascular risk factors in the Dutch population: determinants and resulting biases.

Authors:  H C Boshuizen; A L Viet; H S J Picavet; A Botterweck; A J M van Loon
Journal:  Public Health       Date:  2005-12-20       Impact factor: 2.427

7.  The effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study. Atherosclerosis Risk in Communities (ARIC) Study Investigators.

Authors:  E Shahar; A R Folsom; R Jackson
Journal:  Ann Epidemiol       Date:  1996-11       Impact factor: 3.797

8.  Determinants of non-participation, and the effects of non-participation on potential cause-effect relationships, in the PART study on mental disorders.

Authors:  Ingvar Lundberg; Kerstin Damström Thakker; Tore Hällström; Yvonne Forsell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-06       Impact factor: 4.328

9.  Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf Recall Study: identifiability of phone numbers as the major determinant of response.

Authors:  A Stang; S Moebus; N Dragano; E M Beck; S Möhlenkamp; A Schmermund; J Siegrist; R Erbel; K H Jöckel
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

10.  Study design, exposure variables, and socioeconomic determinants of participation in Diet, Cancer and Health: a population-based prospective cohort study of 57,053 men and women in Denmark.

Authors:  Anne Tjønneland; Anja Olsen; Katja Boll; Connie Stripp; Jane Christensen; Gerda Engholm; Kim Overvad
Journal:  Scand J Public Health       Date:  2007       Impact factor: 3.021

View more
  59 in total

1.  The LIFE Child study: a population-based perinatal and pediatric cohort in Germany.

Authors:  Tanja Poulain; Ronny Baber; Mandy Vogel; Diana Pietzner; Toralf Kirsten; Anne Jurkutat; Andreas Hiemisch; Anja Hilbert; Jürgen Kratzsch; Joachim Thiery; Michael Fuchs; Christian Hirsch; Franziska G Rauscher; Markus Loeffler; Antje Körner; Matthias Nüchter; Wieland Kiess
Journal:  Eur J Epidemiol       Date:  2017-01-31       Impact factor: 8.082

2.  Assessing the Role of Selection Bias in the Protective Relationship Between Caregiving and Mortality.

Authors:  Meghan L Smith; Timothy C Heeren; Lynsie R Ranker; Lisa Fredman
Journal:  Am J Epidemiol       Date:  2019-11-01       Impact factor: 4.897

3.  Characteristics of undiagnosed children with parent-reported ADHD behaviour.

Authors:  Kathrine Bang Madsen; Mette Holmelin Ravn; Jon Arnfred; Jørn Olsen; Charlotte Ulrikka Rask; Carsten Obel
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-07-21       Impact factor: 4.785

4.  Depression-related distortions in maternal reports of child behaviour problems.

Authors:  Kathrine Bang Madsen; Charlotte Ulrikka Rask; Jørn Olsen; Janni Niclasen; Carsten Obel
Journal:  Eur Child Adolesc Psychiatry       Date:  2019-05-21       Impact factor: 4.785

5.  Factors associated with the emotional health of children: high family income as a protective factor.

Authors:  Janine Herrmann; M Vogel; D Pietzner; E Kroll; O Wagner; S Schwarz; E Müller; W Kiess; M Richter; T Poulain
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-09-23       Impact factor: 4.785

6.  Autism after infection, febrile episodes, and antibiotic use during pregnancy: an exploratory study.

Authors:  Hjördis Ósk Atladóttir; Tine Brink Henriksen; Diana E Schendel; Erik T Parner
Journal:  Pediatrics       Date:  2012-11-12       Impact factor: 7.124

7.  Quantitative Bias Analysis for Collaborative Science.

Authors:  Jennifer Weuve; Sharon K Sagiv; Matthew P Fox
Journal:  Epidemiology       Date:  2018-09       Impact factor: 4.822

8.  Maternal Prepregnancy BMI and Risk of Cerebral Palsy in Offspring.

Authors:  Ingeborg Forthun; Allen J Wilcox; Katrine Strandberg-Larsen; Dag Moster; Ellen A Nohr; Rolv Terje Lie; Pål Surén; Mette C Tollånes
Journal:  Pediatrics       Date:  2016-09-08       Impact factor: 7.124

9.  Mode of first delivery and women's intentions for subsequent childbearing: findings from the First Baby Study.

Authors:  Kristen H Kjerulff; Diana L Velott; Junjia Zhu; Cynthia H Chuang; Marianne M Hillemeier; Ian M Paul; John T Repke
Journal:  Paediatr Perinat Epidemiol       Date:  2012-11-22       Impact factor: 3.980

10.  A confirmatory approach to examining the factor structure of the Strengths and Difficulties Questionnaire (SDQ): a large scale cohort study.

Authors:  Janni Niclasen; Anne Mette Skovgaard; Anne-Marie Nybo Andersen; Mikael Julius Sømhovd; Carsten Obel
Journal:  J Abnorm Child Psychol       Date:  2013-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.