Attrition and generalizability in longitudinal studies: Findings from a 15-year population-based study and a Monte Carlo simulation study

BMC Public Health

Volumn 12, Issue 1, 2012, Pages

  Gustavson, Kristin ^a   Von Soest, Tilmann ^a,b   Karevold, Evalill ^a   Roysamb, Espen ^a,b  

^a NORWEGIAN INSTITUTE OF PUBLIC HEALTH   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

Author keywords

Attrition; Bias; Longitudinal studies; Public health; Simulation

Indexed keywords

ADULT; ARTICLE; COMPUTER SIMULATION; EPIDEMIOLOGY; FEMALE; FOLLOW UP; HUMAN; LONGITUDINAL STUDY; MONTE CARLO METHOD; MOTHER; PATIENT; RISK FACTOR; STATISTICS; TIME;

ADULT; BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; FEMALE; FOLLOW-UP STUDIES; HUMANS; LONGITUDINAL STUDIES; MONTE CARLO METHOD; MOTHERS; PATIENT DROPOUTS; RISK FACTORS; TIME FACTORS;

EID: 84867900013     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-12-918     Document Type: Article

References (45)

1. Schaffer RH, Social Development Blackwell Plublishers Inc., Oxford 1996
2. The Norwegian Institute of Public Health Twin Study of Mental Health: Examining Recruitment and Attrition Bias. Tambs K, Ronning T, Prescott CA, Kendler KS, Reichborn-Kjennerud T, Torgersen S, et al. Twin Res Hum Genet 2009 12 158 168
3. Characteristics of people lost to attrition in psychiatric follow-up studies. Fischer EH, Dornelas EA, Goethe JW, J Nerv Ment Dis 2001 189 49 55
4. A 4-year follow-up study of syndromal and sub-syndromal anxiety and depression symptoms in the general population. Bjerkeset O, Nordahl HM, Larsson S, Dahl AA, Linaker O, Soc Psychiatry Psychiatr Epidemiol 2008 43 192 199
5. Psychopathology and attrition in the Baltimore ECA 15-year follow-up 1981-1996. Badawi MA, Eaton WW, Myllyluoma J, Weimer LG, Gallo J, Soc Psychiatry Psychiatr Epidemiol 1999 34 91 98
6. Assessing the non-random sampling effects of subject attrition in longitudinal research. Goodman JS, Blum TC, J Manage 1996 22 627 652
7. Detecting and correcting attrition bias in longitudinal family research. Miller RB, Wright DW, J Marriage Fam 1995 57 921 929
8. Self-selection and bias in a large prospective pregnancy cohort in Norway. Nilsen RM, Vollset SE, Gjessing HK, Skjærven R, Melve KK, Schreuder P, et al. Paediatr Perinat Epidemiol 2009 23 597 608
9. Psychopathology and attrition in the epidemiologic catchment-area surveys. Eaton WW, Anthony JC, Tepper S, Dryman A, Am J Epidemiol 1992 135 1051 1059
10. Psychiatric and sociodemographic predictors of attrition in a longitudinal study-The Netherlands Mental Health Survey and Incidence Study (NEMESIS). de Graaf R, Bijl RV, Smit F, Ravelli A, Vollebergh WAM, Am J Epidemiol 2000 152 1039 1047
11. Effects of sample attrition in a longitudinal study of the association between alcohol intake and all-cause mortality. Thygesen LC, Johansen C, Keiding N, Giovannucci E, Gronbaek M, Addiction 2008 103 1149 1159
12. Alcohol use and mental distress as predictors of non-response in a general population health survey: the HUNT study. Torvik FA, Rognmo K, Tambs K, Soc Psychiatry Psychiatr Epidemiol 2012 47 805 816
13. Survey non-response in the Netherlands: effects on prevalence estimates and associations. Van Loon AJM, Tijhuis M, Picavet HSJ, Surtees PG, Ormel J, Ann Epidemiol 2003 13 105 110
14. Attrition bias in longitudinal research involving adolescent psychiatric outpatients. Allott K, Chanen A, Yuen HP, J Nerv Ment Dis 2006 194 958 961
15. The association between depression and marital dissatisfaction. Whisman MA, Marital and family processes in depression. A scientific foundation for clinical practice American Psychological Association, Washington D.C, Beach SRH, 2001 3 24
16. Contacting participants for follow-up: how much effort is required to retain participants in longitudinal studies? Cotter RB, Burke JD, Stouthamer-Loeber M, Loeber R, Eval Program Plann 2005 28 15 21
17. Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies. Perez RG, Ezpeleta L, Domenech JM, Soc Psychiatry Psychiatr Epidemiol 2007 42 251 258
18. Behavioral observations at age 3 years predict adult psychiatric disorders-Longitudinal evidence from a birth cohort. Caspi A, Moffitt TE, Newman DL, Silva PA, Arch Gen Psychiatry 1996 53 1033 1039
19. Major depression in the transition to adulthood: Risks and impairments. Reinherz HZ, Giaconia RM, Hauf AMC, Wasserman MS, Silverman AB, J Abnorm Psychol 1999 108 500 510
20. Missing data: our view of the state of the art. Schafer JL, Graham JW, Psychol Methods 2002 7 147 177
21. Methods to account for attrition in longitudinal data: do they work? A simulation study. Kristman VL, Manno M, Cote P, Eur J Epidemiol 2005 20 657 662
22. Muthén LK, Muthén BO, Mplus users guide Muthén & Muthén, Los Angeles 6 2010
23. Monte Carlo experiments: design and implementation. Paxton P, Curran PJ, Bollen KA, Kirby J, Chen FN, Structural Equation Modeling-A Multidisciplinary J 2001 8 287 312
24. Evaluating interventions with differential attrition-the importance of nonresponse mechanisms and use of follow-up data. Graham JW, Donaldson SI, J Appl Psychol 1993 78 119 128
25. Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study. Soullier, et al. BMC Medical Research Methodology 2010 10 79
26. Predictors and pathways from infancy to symptoms of anxiety and depression in early adolescence. Karevold E, Roysamb E, Ystrom E, Mathiesen KS, Dev Psychol 2009 45 1051 1060
27. The nature and predictors of undercontrolled and internalizing problem trajectories across early childhood. Mathiesen KS, Sanson A, Stoolmiller M, Karevold E, J Abnorm Child Psychol 2009 37 209 222
28. Longitudinal associations between relationship problems, divorce, and life satisfaction: findings from a 15-year population-based study. Gustavson K, Roysamb E, von Soest T, Helland MJ, Mathiesen KS, J Posit Psychol 2012 7 188 197
29. Symptoms of emotional distress in family planning service: stability over a four-week period. Winokur A, Winokur D, Rickels K, Cox DS, Br J Psychiatry 1984 144 395 399
30. Psychiatric illness in family practice. Hesbacher PT, Rickels K, Morris RJ, Newman H, Rosenfeld H, J Clin Psychiatry 1980 41 6 10
31. Clinical norms, reliability and validity for the Hopkins Symptom Checklist-21. Deane FP, Leathem J, Spicer J, Aust J Psychol 1992 44 21 25
32. How well can a few questionnaire items indicate anxiety and depression. Tambs K, Moum T, Acta Psychiatr Scand 1993 87 364 367
33. Buss AH, Plomin R, Temperament: Early developing personality traits Lawrence Erlbaum Associates, New Jersey 1984
34. Temperament in adults-Reliability, stability, and factor structure of the EAS temperament survey. Naerde A, Roysamb E, Tambs K, J Pers Assess 2004 82 71 79
35. The factor structure of the buss and plomin eas temperament survey (Parental Ratings) in a dutch sample of elementary-school-children. Boer F, Westenberg PM, J Pers Assess 1994 62 537 551
36. The EAS Temperament questionnaire-factor structure, age trends, reliability, and stability in a Norwegian sample. Mathiesen KS, Tambs K, J Child Psychol Psychiatry 1999 40 431 439
37. The influence of social class, strain and social support on symptoms of anxiety and depression in mothers of toddlers. Mathiesen KS, Tambs K, Dalgard OS, Soc Psychiatry Psychiatr Epidemiol 1999 34 61 72
38. Social support, negative life events and mental-health. Dalgard OS, Bjork S, Tambs K, Br J Psychiatry 1995 166 29 34
39. Price I, Research Methods and Statistics. PESS202, Lecture and Commentary Notes University of New England 2000 http://www.une.edu.au/WebStat/index.htm
40. Sample size determination for logistic regression revisited. Demidenko E, Stat Med 2007 26 3385 3397
41. Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Faul F, Erdfelder E, Buchner A, Lang AG, Behav Res Methods 2009 41 1149 1160
42. Kline RB, Principles and practice of structural equation modeling Guilford, New York 3 2011
43. Cohen J, Statistical Power Analysis for the Behavioral Sciences Lawrence Erlbaum Associates, New Jersey 2 1988
44. The importance of critically interpreting simulation studies. Maldonado G, Greenland S, Epidemiology 1997 8 453 456
45. Whats wrong with Bonferroni adjustments. Perneger TV, Br Med J 1998 316 1236 1238