ArticlePeerJ2014
Attrition in a 30-year follow-up of a perinatal birth risk cohort: factors change with age.
Article in PeerJ, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis.BMC medical research methodology · 2018Pooled it
- Antenatal and postnatal breastfeeding motivation and self-efficacy in primiparous women: a prospective observational study.European journal of pediatrics · 2025Observational
- Heterogeneity of early-onset conduct problems: assessing different profiles, predictors and outcomes across childhood.Child and adolescent psychiatry and mental health · 2025Article
- Sociodemographic characteristics and predictive factors of attrition: comparison in two final waves of a birth cohort study in Ecuador.Frontiers in reproductive health · 2025Article
- Participant engagement and involvement in longitudinal cohort studies: qualitative insights from a selection of pregnancy and birth, twin, and family-based population cohort studies.BMC medical research methodology · 2024Article
- Childhood ADHD and subthreshold symptoms are associated with cognitive functioning at age 40-a cohort study on perinatal birth risks.Frontiers in psychology · 2024Article
- Factors Associated with Attrition in a Longitudinal Cohort of Older Adults in the Community.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2023Article
- Spectral quantitative and semi-quantitative EEG provide complementary information on the life-long effects of early childhood malnutrition on cognitive decline.Frontiers in neuroscience · 2023Article
- Sleep patterns and psychosocial health of parents of preterm and full-born infants: a prospective, comparative, longitudinal feasibility study.BMC pregnancy and childbirth · 2022Article
- Mortality in individuals with childhood ADHD or subthreshold symptoms - a prospective perinatal risk cohort study over 40 years.BMC psychiatry · 2022Article
- Prenatal smoking, alcohol and caffeine exposure and maternal-reported attention deficit hyperactivity disorder symptoms in childhood: triangulation of evidence using negative control and polygenic risk score analyses.Addiction (Abingdon, England) · 2022Article
- No Clinically Relevant Memory Effects in Perinatal Hyperglycemia and Hypoglycemia: A 40-Year Follow-Up of a Small Cohort.Frontiers in public health · 2022Article
- Psychopathic Traits in Childhood: Insights from Parental Warmth and Fearless Temperament via Conscience Development.Brain sciences · 2021Article
- Re-engaging an inactive cohort of young adults: evaluating recruitment for the Kidskin Young Adult Myopia Study.BMC medical research methodology · 2020Article
- Factors Associated with Attrition of Adult Participants in a Longitudinal Database: A National Institute on Disability, Independent Living, and Rehabilitation Research Burn Model System Study.Journal of burn care & research : official publication of the American Burn Association · 2020Article
- The Importance of Childhood for Adult Health and Development-Study Protocol of the Zurich Longitudinal Studies.Frontiers in human neuroscience · 2020Article
- Article
- Comparison of reproductive history gathered by interview and by vital records linkage after 40 years of follow-up: Bogalusa Babies.BMC medical research methodology · 2019Article
- Longitudinal Neuroimaging in Pediatric Traumatic Brain Injury: Current State and Consideration of Factors That Influence Recovery.Frontiers in neurology · 2019Review
- Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network.Environment international · 2018Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background. Attrition is a major cause of potential bias in longitudinal studies and clinical trials. Attrition rate above 20% raises concern of the reliability of the results. Few studies have looked at the factors behind attrition in follow-ups spanning decades. Methods. We analyzed attrition and associated factors of a 30-year follow-up cohort of subjects who were born with perinatal risks for neurodevelopmental disorders. Attrition rates were calculated at different stages of follow-up and differences between responders and non-responders were tested. To find combinations of variables influencing attrition and investigate their relative importance at birth, 5, 9, 16 and 30 years of follow-up we used the random forest classification. Results. Initial loss of potential participants was 13%. Attrition was 16% at five, 24% at nine, 35% at 16 and 46% at 30 years. The only group difference that emerged between responders and non-responders was in socioeconomic status (SES). The variables identified by random forest classification analysis were classified into Birth related, Development related and SES related. Variables from all these categories contributed to attrition, but SES related variables were less important than birth and development associated variables. Classification accuracy ranged between 0.74 and 0.96 depending on age. Discussion. Lower SES is linked to attrition in many studies. Our results point to the importance of the growth and development related factors in a longitudinal study. Parents' decisions to participate depend on the characteristics of the child. The same association was also seen when the child, now grown up, decided to participate at 30 years. In addition, birth related medical variables are associated with the attrition still at the age of 30. Our results using a data mining approach suggest that attrition in longitudinal studies is influenced by complex interactions of a multitude of variables, which are not necessarily evident using other multivariate techniques.
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