Rothman KJ, Greenland S. Cohort studies. In: Rothman KJ, Greenland S, Lash TL, editors. Modern epidemiology. Philadelphia: Lippincott Williams & Wilkins; 2008.
Google Scholar
Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2008.
Google Scholar
Gustavson K, von Soest T, Karevold E, Røysamb E. Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study. BMC Public Health. 2012;12:918.
Article
PubMed
PubMed Central
Google Scholar
Davis L, Broome ME, Cox RP. Maximizing retention in community-based clinical trials. J Nurs Scholarsh. 2002;1:47–53.
Article
Google Scholar
Szklo M. Population-based cohort studies. Epidemiol Rev. 1998;20:81–90.
Article
CAS
PubMed
Google Scholar
Booker CL, Harding S, Benzeval M. A systematic review of the effect of retention methods in population-based cohort studies. BMC Public Health. 2011;11:249.
Article
PubMed
PubMed Central
Google Scholar
Anderson CL, Agarwal R, Anderson CL. The digitization of healthcare: boundary risks, emotion, and consumer willingness to disclose personal health information. Inf Syst Res. 2011;22:469–90.
Article
Google Scholar
Ward S, Bridges K, Chitty B. Do incentives matter? An examination of on-line privacy concerns and willingness to provide personal and financial information. J Mark Commun. 2005;11:21–40.
Article
Google Scholar
Sepah SC, Jiang L, Peters AL. Long-term outcomes of a web-based diabetes prevention program: 2-year results of a single-arm longitudinal study. J Med Internet Res. 2015;17:e92.
Article
PubMed
PubMed Central
Google Scholar
Dobkin BH, Dorsch A. The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors. Neurorehabil Neural Repair. 2011;25:788–98.
Article
PubMed
PubMed Central
Google Scholar
Fuller-Tyszkiewicz M, Skouteris H, Richardson B, Blore J, Holmes M, Mills J. Does the burden of the experience sampling method undermine data quality in state body image research? Body Image. 2013;10:607–13.
Article
PubMed
Google Scholar
Rostosky SS, Riggle EDB, Rothblum ED, Balsam KF. Same-sex couples’ decisions and experiences of marriage in the context of minority stress: interviews from a population-based longitudinal study. J Homosex. 2016;63:1019–40.
Article
PubMed
Google Scholar
Loxton D, Powers J, Anderson AE, Townsend N, Harris ML, Tuckerman R, et al. Online and offline recruitment of young women for a longitudinal health survey: findings from the australian longitudinal study on women’s health 1989-95 cohort. J Med Internet Res. 2015;17:1–14.
Article
Google Scholar
Mychasiuk R, Benzies K. Facebook: an effective tool for participant retention in longitudinal research. Child Care Health Dev. 2012;38:753–6.
Article
CAS
PubMed
Google Scholar
Man MS, Tilbrook HE, Jayakody S, Hewitt CE, Cox H, Cross B, et al. Electronic reminders did not improve postal questionnaire response rates or response times: a randomized controlled trial. J Clin Epidemiol. 2011;64:1001–4.
Article
PubMed
Google Scholar
Brueton VC, Tierney JF, Stenning S, Meredith S, Harding S, Nazareth I, et al. Strategies to improve retention in randomised trials: a Cochrane systematic review and meta-analysis. BMJ Open. 2014;4:e003821.
Article
CAS
PubMed
PubMed Central
Google Scholar
Robinson KA, Dennison CR, Wayman DM, Pronovost PJ, Needham DM. Systematic review identifies number of strategies important for retaining study participants. J Clin Epidemiol. 2007;60:757–65.
Article
PubMed
PubMed Central
Google Scholar
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9.
Article
PubMed
Google Scholar
Viechtbauer W. Conducting Meta-analyses in R with the metafor package. J Stat Softw. 2010;36:1–48.
Article
Google Scholar
R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2015.
Google Scholar
Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ Br Med J. 2003;327:557–60.
Article
Google Scholar
United Nations Development Programme (UNDP). Human development report. New York: United Nations Development Programme; 2016.
Google Scholar
Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26:224–7.
Article
CAS
PubMed
Google Scholar
Hosmer J, Lemeshow S, Sturdivant R. Model-building strategies and methods for logistic regression. In: Applied logistic regression. 3rd ed. Hoboken: Wiley; 2013. p. 89–151.
Chapter
Google Scholar
Pattanasin S, Wimonsate W, Chonwattana W, Tongtoyai J, Chaikummao S, Sriporn A, et al. Loss to follow-up and bias assessment among a cohort of Thai men who have sex with men in Bangkok. Thailand Int J STD AIDS. 2016;27:196–206.
Article
PubMed
Google Scholar
van Lieshout M, Luman M, Twisk JWR, van Ewijk H, Groenman AP, Thissen AJAM, et al. A 6-year follow-up of a large European cohort of children with attention-deficit/hyperactivity disorder-combined subtype: outcomes in late adolescence and young adulthood. Eur Child Adolesc Psychiatry. 2016;25:1007–17.
Article
PubMed
PubMed Central
Google Scholar
Von Hippel PT. The heterogeneity statistic I2 can be biased in small meta-analyses. BMC Med Res Methodol. 2015;15:1–8.
Article
Google Scholar
Enders CK. Applied missing data analysis. New York: Guilford Press; 2010.
Google Scholar
Graham JW. Missing data analysis: making it work in the real world. Annu Rev Psychol. 2009;60:549–76.
Article
PubMed
Google Scholar
Vehovar V. Field substitution and unit nonresponse. J Off Stat. 1999;15:335–50.
Google Scholar
David MC, Bensink M, Higashi H, Donald M, Alati R, Ware RS. Monte Carlo simulation of the cost-effectiveness of sample size maintenance programs revealed the need to consider substitution sampling. J Clin Epidemiol. 2012;65:1200–11.
Article
PubMed
Google Scholar
Cepeda A, Valdez A. Ethnographic strategies in the tracking and retention of street-recruited community-based samples of substance using hidden populations in longitudinal studies. Subst Use Misuse. 2010;45:700–16.
Article
PubMed
PubMed Central
Google Scholar
Rosenberg AR, Bona K, Wharton CM, Bradford M, Shaffer ML, Wolfe J, et al. Adolescent and young adult patient engagement and participation in survey-based research: a report from the “resilience in adolescents and young adults with cancer” study. Pediatr Blood Cancer. 2016;63:734–6.
Article
PubMed
Google Scholar
Lankenau SE, Sanders B, Hathazi D, Bloom JJ. Recruiting and retaining mobile young injection drug users in a longitudinal study. Subst Use Misuse. 2010;45:684–99.
Article
PubMed
PubMed Central
Google Scholar
Hanna KM, Scott LL, Schmidt KK. Retention strategies in longitudinal studies with emerging adults. Clin Nurse Spec. 2014;28:41–5.
Article
PubMed
PubMed Central
Google Scholar
Crawford JA, Hargrave TM, Hunt A, Liu CC, Anbar RD, Hall GE, et al. Issues in design and implementation in an urban birth cohort study: the Syracuse AUDIT project. J Urban Heal. 2006;83:741–59.
Article
Google Scholar
Hughes JR, Naud S, Budney AJ, Fingar JR, Callas PW. Attempts to stop or reduce daily cannabis use: an intensive natural history study. Psychol Addict Behav. 2016;30:389–97.
Article
PubMed
PubMed Central
Google Scholar
Langley JD, Lilley R, Wilson S, Derrett S, Samaranayaka A, Davie G, et al. Factors associated with non-participation in one or two follow-up phases in a cohort study of injured adults. Inj Prev. 2013;19:428–33.
Article
PubMed
Google Scholar
Gabbe BJ, Cameron PA, Hannaford AP, Sutherland AM, McNeil JJ. Routine follow up of major trauma patients from trauma registries: what are the outcomes? J Trauma. 2006;61:1393–9.
Article
PubMed
Google Scholar
Dorn JM, Genco RJ, Grossi SG, Falkner KL, Hovey KM, Iacoviello L, et al. Periodontal disease and recurrent cardiovascular events in survivors of myocardial infarction (MI): the Western New York acute MI study. J Periodontol. 2010;81:502–11.
Article
PubMed
Google Scholar
Pescud M, Pettigrew S, Wood L, Henley N. Insights and recommendations for recruitment and retention of low socio-economic parents with overweight children. Int J Soc Res Methodol. 2015;18:617–33.
Article
Google Scholar
Loue S, Sajatovic M. Research with severely mentally ill Latinas: successful recruitment and retention strategies. J Immigr Minor Health. 2008;10:145–53.
Article
PubMed
Google Scholar
Wu C, Thompson ME, Fong GT, Jiang Y, Yang Y, Feng G, et al. Methods of the International Tobacco Control (ITC) China survey: waves 1, 2 and 3. Tob Control. 2015;24:iv1–5.
Article
PubMed
Google Scholar
Højmark K, Støttrup C, Carreon L, Andersen MO. Patient-reported outcome measures unbiased by loss of follow-up. Single-center study based on DaneSpine, the Danish spine surgery registry. Eur Spine J. 2016;25:282–6.
Article
PubMed
Google Scholar
Tansey CM, Matté AL, Needham D, Herridge MS. Review of retention strategies in longitudinal studies and application to follow-up of ICU survivors. Intensive Care Med. 2007;33:2051–7.
Article
PubMed
Google Scholar
Donald M, Dower J, Ware R, Mukandi B, Parekh S, Bain C. Living with diabetes: rationale, study design and baseline characteristics for an Australian prospective cohort study. BMC Public Health. 2012;12:8.
Article
PubMed
PubMed Central
Google Scholar
McSweeney JC, Pettey CM, Fischer EP, Spellman A. Going the distance. Res Gerontol Nurs. 2009;2:256–64.
Article
PubMed
Google Scholar
Dubé K, Zango A, Van De Wijgert J, Meque I, Ferro JJ, Cumbe F, et al. HIV incidence in a cohort of women at higher risk in Beira, Mozambique: prospective study 2009-2012. PLoS One. 2014;9:1–6.
Article
CAS
Google Scholar
Heppner PP, Armer JM, Mallinckrodt B. Problem-solving style and adaptation in breast cancer survivors: a prospective analysis. J Cancer Surviv. 2009;3:128–36.
Article
PubMed
PubMed Central
Google Scholar
Friedman R, Bastos F, Leite I, Veloso V, Moreira R, Cardoso S, et al. Pregnancy rates and predictors in women with HIV/AIDS in Rio de Janeiro, Southeastern Brazil. Rev Saude Publica. 2011;45:373–81.
Article
PubMed
Google Scholar
Albus M, Hubmann W, Mohr F, Hecht S, Hinterberger-Weber P, Seitz NN, et al. Neurocognitive functioning in patients with first-episode schizophrenia: results of a prospective 5-year follow-up study. Eur Arch Psychiatry Clin Neurosci. 2006;256:442–51.
Article
PubMed
Google Scholar
Kiwanuka N, Mpendo J, Nalutaaya A, Wambuzi M, Nanvubya A, Kitandwe PK, et al. An assessment of fishing communities around Lake Victoria, Uganda, as potential populations for future HIV vaccine efficacy studies: an observational cohort study. BMC Public Health. 2014;14:986.
Article
PubMed
PubMed Central
Google Scholar
Thege BK, Woodin EM, Hodgins DC, Williams RJ. Natural course of behavioral addictions: a 5-year longitudinal study. BMC Psychiatry. 2015;15:4.
Article
Google Scholar
Sinclair JMA, Hawton K, Gray A. Six year follow-up of a clinical sample of self-harm patients. J Affect Disord. 2010;121:247–52.
Article
PubMed
Google Scholar
Smith JA, Wilde MH, Brasch J. Internet recruitment and retention for a 6 months’ longitudinal study. J Nurs Scholarsh. 2012;44:165–70.
Article
PubMed
Google Scholar
Pendlebury ST, Chen PJ, Bull L, Silver L, Mehta Z, Rothwell PM. Methodological factors in determining rates of dementia in transient ischemic attack and stroke: (i) impact of baseline selection bias. Stroke. 2015;46:641–6.
Article
PubMed
PubMed Central
Google Scholar
Coley N, Gardette V, Toulza O, Gillette-Guyonnet S, Cantet C, Nourhashemi F, et al. Predictive factors of attrition in a cohort of Alzheimer disease patients: the REAL.FR study. Neuroepidemiology. 2008;31:69–79.
Article
PubMed
Google Scholar
Shatenstein B, Kergoat M-J, Reid I. Issues in recruitment, retention, and data collection in a longitudinal nutrition study of community-dwelling older adults with early-stage Alzheimer’s dementia. J Appl Gerontol. 2008;27:267–85.
Article
Google Scholar
Ellis KA, Szoeke C, Bush AI, Darby D, Graham PL, Lautenschlager NT, et al. Rates of diagnostic transition and cognitive change at 18-month follow-up among 1,112 participants in the Australian imaging, biomarkers and lifestyle flagship study of ageing (AIBL). Int Psychogeriatr. 2014;26:543–54.
Article
PubMed
Google Scholar
Newberry A, Sherwood P, Hricik A, Bradley S, Kuo J, Crago E, et al. Understanding recruitment and retention in neurological research. J Neurosci Nurs. 2010;42:47–57.
Article
PubMed
PubMed Central
Google Scholar
Dunn KM, Campbell P, Jordan KP. Long-term trajectories of back pain: cohort study with 7-year follow-up. BMJ Open. 2013;3:e003838.
Article
PubMed
PubMed Central
Google Scholar
Novljan MP, Rotar Z, Ambrozic A, Vidmar G, Tomsic M. Comparison of the performance of the different classification criteria for primary Sjogren’s syndrome: a prospective cohort study. Clin Rheumatol. 2014;33:1657–64.
Article
Google Scholar
Torgalsbøen AK, Mohn C, Czajkowski N, Rund BR. Relationship between neurocognition and functional recovery in first-episode schizophrenia: results from the second year of the Oslo multi-follow-up study. Psychiatry Res. 2015;227:185–91.
Article
PubMed
Google Scholar
Jourdan C, Bayen E, Bahrami S, Ghout I, Darnoux E, Azerad S, et al. Loss to follow-up and social background in an inception cohort of patients with severe traumatic brain injury. J Head Trauma Rehabil. 2016;31:E42–8.
Article
PubMed
Google Scholar
Bair E, Brownstein NC, Ohrbach R, Greenspan JD, Dubner R, Fillingim RB, et al. Study protocol, sample characteristics, and loss to follow-up: the OPPERA prospective cohort study. J Pain. 2013;14:T2–19.
Article
PubMed
Google Scholar
Langley J, Johnson S, Slatyer M, Skilbeck CE, Thomas M. Issues of loss to follow-up in a population study of traumatic brain injury (TBI) followed to 3 years post-trauma. Brain Inj. 2010;24:939–47.
Article
CAS
PubMed
Google Scholar
Rapoport MJ, Kiss A, Feinstein A. The impact of major depression on outcome following mild-to-moderate traumatic brain injury in older adults. J Affect Disord. 2006;92:273–6.
Article
PubMed
Google Scholar
Gabbe BJ, Cleland H, Watterson DM, Schrale R, McRae S, Parker C, et al. Long term outcomes data for the burns registry of Australia and New Zealand: is it feasible? Burns. 2015;41:1732–40.
Article
PubMed
Google Scholar
Fenix JB, Cherlin EJ, Prigerson HG, Johnson-Hurzeler R, Kasl SV, Bradley EH. Religiousness and major depression among bereaved family caregivers: a 13-month follow-up study. J Palliat Care. 2006;22:286–92.
CAS
PubMed
Google Scholar
Bennett KS, Hay DA, Piek J, Pearsall-Jones J, Levy F, Martin N. The Australian twin ADHD project: current status and future directions. Twin Res Hum Genet. 2006;9:718–26.
Article
PubMed
Google Scholar
Meinck F, Cluver LD, Boyes ME. Household illness, poverty and physical and emotional child abuse victimisation: findings from South Africa’s first prospective cohort study. BMC Public Health. 2015;15:444.
Article
PubMed
PubMed Central
Google Scholar
Guey LT, Bromet EJ, Gluzman SF, Zakhozha V, Paniotto V. Determinants of participation in a longitudinal two-stage study of the health consequences of the Chornobyl nuclear power plant accident. BMC Med Res Methodol. 2008;8:27.
Article
PubMed
PubMed Central
Google Scholar
Graziotti AL, Hammond J, Messinger DS, Bann CM, Miller-Loncar C, Twomey JE, et al. Maintaining participation and momentum in longitudinal research involving high-risk families. J Nurs Scholarsh. 2012;44:120–6.
Article
PubMed
PubMed Central
Google Scholar
Williams P, Chernoff M, Angelidou K, Brouwers P, Kacanek D, Deygoo N, et al. Participation and retention of youth with perinatal HIV infection in mental health research studies. J Acquir Immune Defic Syndr. 2013;63:401–9.
Article
PubMed
PubMed Central
Google Scholar
Betancourt TS, Brennan RT, Rubin-Smith JE, Fritzmaurice GM, Gilman SE. Sierra Leone’s former child soldiers: a longitudinal study of risk, protective factors, and mental health. J Am Acad Child Adolesc Psychiatry. 2011;49:606–15.
Google Scholar
Hinshaw SP, Owens EB, Zalecki C, Huggins SP, Montenegro-Nevado AJ, Schrodek E, et al. Prospective follow-up of girls with attention-deficit/hyperactivity disorder into early adulthood: continuing impairment includes elevated risk for suicide attempts and self-injury. J Consult Clin Psychol. 2012;80:1041–51.
Article
PubMed
PubMed Central
Google Scholar
Boykin DM, London MJ, Orcutt HK. Examining minority attrition among women in longitudinal trauma research. J Trauma Stress. 2016;29:26–32.
Article
PubMed
Google Scholar
Johnson SB, Lynch KF, Baxter J, Lernmark B, Roth R, Simell T, et al. Predicting later study withdrawal in participants active in a longitudinal birth cohort study for 1 year: the TEDDY study. J Pediatr Psychol. 2016;41:373–83.
Article
PubMed
Google Scholar
Baral S, Kizub D, Masenior NF, Peryskina A, Stachowiak J, Stibich M, et al. Male sex workers in Moscow, Russia: a pilot study of demographics, substance use patterns, and prevalence of HIV-1 and sexually transmitted infections. AIDS Care. 2010;22:112–8.
Article
PubMed
PubMed Central
Google Scholar
Khosropour CM, Sullivan PS. Predictors of retention in an online follow-up study of men who have sex with men. J Med Internet Res. 2011;13:1–14.
Article
Google Scholar
Khosropour CM, Johnson BA, Ricca AV, Sullivan PS. Enhancing retention of an internet-based cohort study of men who have sex with men (MSM) via text messaging: randomized controlled trial. J Med Internet Res. 2013;15:1–11.
Article
Google Scholar
Liu G, Lu H, Wang J, Xia D, Sun Y, Mi G, et al. Incidence of HIV and syphilis among men who have sex with men (MSM) in Beijing: an open cohort study. PLoS One. 2015;10:1–13.
Google Scholar
Mao H, Ma W, Lu H, Wang L, Zheng H, Zhu Y, et al. High incidence of HIV and syphilis among migrant men who have sex with men in Beijing, China: a prospective cohort study. BMJ Open. 2014;4:e005351.
Article
PubMed
PubMed Central
Google Scholar
Peng Z, Yang H, Norris J, Chen X, Huan X, Yu R, et al. HIV incidence and predictors associated with retention in a cohort of men who have sex with men in Yangzhou, Jiangsu Province. China PLoS One. 2012;7:4–9.
Google Scholar
Segura M, Estani SS, Marone R, Bautista CT, Pando MA, Eyzaguirre L, et al. Buenos Aires cohort of men who have sex with men: prevalence, incidence, risk factors, and molecular genotyping of HIV type 1. AIDS Res Hum Retrovir. 2007;23:1322–9.
Article
PubMed
Google Scholar
Abaasa A, Asiki G, Mpendo J, Levin J, Seeley J, Nielsen L, et al. Factors associated with dropout in a long term observational cohort of fishing communities around Lake Victoria. Uganda BMC Res Notes. 2015;8:815.
Article
PubMed
Google Scholar
Seed M, Juarez M, Alnatour R. Improving recruitment and retention rates in preventive longitudinal research with adolescent mother. J Child Adolesc Psychiatr Nurs. 2009;22:150–3.
Article
PubMed
Google Scholar
Vinther-Larsen M, Riegels M, Rod MH, Schiotz M, Curtis T, Gronbaek M. The Danish youth cohort: characteristics of participants and non-participants and determinants of attrition. Scand J Public Health. 2010;38:648–56.
Article
PubMed
Google Scholar
Temple JR, Choi H. Longitudinal association between teen sexting and sexual behavior. Pediatrics. 2014;134:e1287–92.
Article
PubMed
PubMed Central
Google Scholar
Orpinas P, Lacy B, Nahapetyan L, Dube SR, Song X. Cigarette smoking trajectories from sixth to twelfth grade: associated substance use and high school dropout. Nicotine Tob Res. 2016;18:156–62.
Article
CAS
PubMed
Google Scholar
Hemphill SA, Heerde JA, Scholes-Balog KE, Herrenkohl TI, Toumbourou JW, Catalano RF. Effects of early adolescent alcohol use on mid-adolescent school performance and connection: a longitudinal study of students in Victoria, Australia and Washington state, United States. J Sch Health. 2014;84:706–15.
Article
PubMed
PubMed Central
Google Scholar
Oldehinkel AJ, Rosmalen JGM, Buitelaar JK, Hoek HW, Ormel J, Raven D, et al. Cohort profile update: the tracking adolescents’ individual lives survey (TRAILS). Int J Epidemiol. 2015;44:76.
Article
PubMed
Google Scholar
Oman RF, Vesely SK, Aspy CB, Fluhr J, Marshall L, Calhoun G, et al. Methodological considerations in a community-based longitudinal study. Am J Health Behav. 2009;33:58–68.
Article
PubMed
Google Scholar
Pluddemann A, Flisher AJ, McKetin R, Parry CD, Lombard CJ. A prospective study of methamphetamine use as a predictor of high school non-attendance in Cape Town, South Africa. Subst Abuse Treat Prev Policy. 2010;5:1–7.
Article
Google Scholar
Van Lissa CJ, Hawk ST, Branje S, Koot HM, Meeus WHJ. Common and unique associations of adolescents’ affective and cognitive empathy development with conflict behavior towards parents. J Adolesc. 2016;47:60–70.
Article
PubMed
Google Scholar
Hamdi NR, Iacono WG. Lifetime prevalence and co-morbidity of externalizing disorders and depression in prospective assessment. Psychol Med. 2014;44:315–24.
Article
CAS
PubMed
Google Scholar
Holt CL, Le D, Calvanelli J, Huang J, Eddie M, Roth DL, et al. Participant retention in a longitudinal national telephone survey of African American men and women. Ethn Dis. 2015;25:187–92.
PubMed
Google Scholar
Baird DD, Harmon QE, Upson K, Moore KR, Barker-Cummings C, Baker S, et al. A prospective, ultrasound-based study to evaluate risk factors for uterine fibroid incidence and growth: methods and results of recruitment. J Women’s Heal. 2015;24:907–15.
Article
Google Scholar
Redwood D, Leston J, Asay E, Ferucci E, Etzel R, Lanier AP. Strategies for successful retention of Alaska native and American Indian study participants. J Prim Prev. 2011;32:43–52.
Article
PubMed
Google Scholar
Odierna DH, Schmidt LA. The effects of failing to include hard-to-reach respondents in longitudinal surveys. Am J Public Health. 2009;99:1515–21.
Article
PubMed
PubMed Central
Google Scholar
Martin SA, Haren MT, Middleton SM, Wittert GA. The Florey Adelaide male ageing study (FAMAS): design, procedures & participants. BMC Public Health. 2007;7:126.
Article
PubMed
PubMed Central
Google Scholar
Anders KL, Nguyen NM, Van Thuy NT, Hieu NT, Nguyen HL, Hong Tham NT, et al. A birth cohort study of viral infections in Vietnamese infants and children: study design, methods and characteristics of the cohort. BMC Public Health. 2013;13:937.
Article
PubMed
PubMed Central
Google Scholar
Panter-Brick C, Goodman A, Tol W, Eggerman M. Mental health and childhood adversities: a longitudinal study in Kabul, Afghanistan. J Am Acad Child Adolesc Psychiatry. 2011;50:349–63.
Article
PubMed
PubMed Central
Google Scholar
Hush JM, Michaleff Z, Maher CG, Refshauge K. Individual, physical and psychological risk factors for neck pain in Australian office workers: a 1-year longitudinal study. Eur Spine J. 2009;18:1532–40.
Article
PubMed
PubMed Central
Google Scholar
West R, Gilsenan A, Coste F, Zhou X, Brouard R, Nonnemaker J, et al. The ATTEMPT cohort: a multi-national longitudinal study of predictors, patterns and consequences of smoking cessation; introduction and evaluation of internet recruitment and data collection methods. Addiction. 2006;101:1352–61.
Article
PubMed
Google Scholar
Göritz AS, Wolff H-G, Goldstein DG. Individual payments as a longer-term incentive in online panels. Behav Res Methods. 2008;40:1144–9.
Article
PubMed
Google Scholar
Eaton WW, Kalaydjian A, Scharfstein DO, Mezuk B, Ding Y. Prevalence and incidence of depressive disorder: the Baltimore ECA follow-up, 1981-2004. Acta Psychiatr Scand. 2007;116:182–8.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ejiogu N, Norbeck JH, Mason MA, Cromwell BC, Zonderman AB, Evans MK. Recruitment and retention strategies for minority or poor clinical research participants: lessons from the healthy aging in neighborhoods of diversity across the life span study. Gerontologist. 2011;51 SI:S33–45.
Article
Google Scholar
Bambs CE, Kip KE, Mulukutla SR, Aiyer AN, Johnson C, McDowell LA, et al. Sociodemographic, clinical, and psychological factors associated with attrition in a prospective study of cardiovascular prevention: the heart strategies concentrating on risk evaluation (heart SCORE) study. Ann Epidemiol. 2013;23:328–33.
Article
PubMed
PubMed Central
Google Scholar
Siukosaari P, Ajwani S, Ainamo A, Wolf J, Närhi T. Periodontal health status in the elderly with different levels of education: a 5-year follow-up study. Gerodontology. 2012;29:170–8.
Article
Google Scholar
Peat G, Thomas E, Handy J, Wood L, Dziedzic K, Myers H, et al. The knee clinical assessment study – CAS(K). a prospective study of knee pain and knee osteoarthritis in the general population: baseline recruitment and retention at 18 months. BMC Musculoskelet Disord. 2006;7:30.
Article
PubMed
PubMed Central
Google Scholar
Khoo SK, O’Neill S, Travers C, Oldenburg B. Age-related changes relevant to health in women: design, recruitment, and retention strategies for the longitudinal assessment of women (LAW) study. J Womens Health (Larchmt). 2008;17:135–46.
Article
Google Scholar
Radler BT, Ryff CD. Who participates? Accounting for longitudinal retention in the MIDUS national study of health and well-being. J Aging Health. 2010;22:307–31.
Article
PubMed
PubMed Central
Google Scholar
Stafford M, Black S, Shah I, Hardy R, Pierce M, Richards M, et al. Using a birth cohort to study ageing: representativeness and response rates in the National Survey of health and development. Eur J Ageing. 2013;10:145–57.
Article
CAS
PubMed
PubMed Central
Google Scholar
De Graaf R, Van Dorsselaer S, Tuithof M, Ten Have M. Sociodemographic and psychiatric predictors of attrition in a prospective psychiatric epidemiological study among the general population. Result of the Netherlands mental health survey and incidence Study-2. Compr Psychiatry. 2013;54:1131–9.
Article
PubMed
Google Scholar
Lamers F, Hoogendoorn AW, Smit JH, Van Dyck R, Zitman FG, Nolen WA, et al. Sociodemographic and psychiatric determinants of attrition in the Netherlands study of depression and anxiety (NESDA). Compr Psychiatry. 2012;53:63–70.
Article
PubMed
Google Scholar
Satherley N, Milojev P, Greaves LM, Huang Y, Osborne D, Bulbulia J, et al. Demographic and psychological predictors of panel attrition: evidence from the New Zealand attitudes and values study. PLoS One. 2015;10:1–22.
Article
CAS
Google Scholar
Méjean C, Szabo De Edelenyi F, Touvier M, Kesse-Guyot E, Julia C, Andreeva VA, et al. Motives for participating in a web-based nutrition cohort according to sociodemographic, lifestyle, and health characteristics: the nutrinet-santé cohort study. J Med Internet Res. 2014;16:e189.
Article
PubMed
PubMed Central
Google Scholar
Xie G, Laskowitz DT, Turner EL, Egger JR, Shi P, Ren F, et al. Baseline health-related quality of life and 10-year all-cause mortality among 1739 Chinese adults. PLoS One. 2014;9:1–9.
CAS
Google Scholar
Leonard CA, Williams RJ. The relationship between gambling fallacies and problem gambling. Psychol Addict Behav. 2016;30:694–704.
Article
PubMed
Google Scholar
Haring R, Alte D, Völzke H, Sauer S, Wallaschofski H, John U, et al. Extended recruitment efforts minimize attrition but not necessarily bias. J Clin Epidemiol. 2009;62:252–60.
Article
PubMed
Google Scholar
Wu XM, Bennett DH, Ritz B, Tancredi DJ, Hertz-Picciotto I. Temporal variation of residential pesticide use and comparison of two survey platforms: a longitudinal study among households with young children in Northern California. Environ Health. 2013;12:65.
Article
PubMed
Google Scholar
Dishman RK, Vandenberg RJ, Motl RW, Nigg CR. Using constructs of the transtheoretical model to predict classes of change in regular physical activity: a multi-ethnic longitudinal cohort study. Ann Behav Med. 2010;40:150–63.
Article
PubMed
Google Scholar
Barnett W, Brittain K, Sorsdahl K, Zar HJ, Stein DJ. Maternal participant experience in a South African birth cohort study enrolling healthy pregnant women and their infants. Philos Ethics Humanit Med. 2016;11:3.
Article
PubMed
PubMed Central
Google Scholar
Loubet P, Guerrisi C, Turbelin C, Blondel B, Launay O, Bardou M, et al. First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort. BMC Public Health. 2016;16:253.
Article
PubMed
PubMed Central
Google Scholar
Martini J, Wittich J, Petzoldt J, Winkel S, Einsle F, Siegert J, et al. Maternal anxiety disorders prior to conception, psychopathology during pregnancy and early infants’ development: a prospective-longitudinal study. Arch Womens Ment Health. 2013;16:549–60.
Article
PubMed
Google Scholar
Saiepour N, Ware R, Najman J, Baker P, Clavarino A, Williams G. Do participants with different patterns of loss to follow-up have different characteristics? A multi-wave longitudinal study. J Epidemiol. 2016;26:45–9.
Article
PubMed
PubMed Central
Google Scholar
Daniels JL, Savitz DA, Bradley C, Dole N, Evenson KR, Eucker B, et al. Attitudes toward participation in a pregnancy and child cohort study. Paediatr Perinat Epidemiol. 2006;20:260–6.
Article
PubMed
Google Scholar
Althuizen E, van Poppel MN, de Vries JH, Seidell JC, van Mechelen W. Postpartum behaviour as predictor of weight change from before pregnancy to one year postpartum. BMC Public Health. 2011;11:165.
Article
PubMed
PubMed Central
Google Scholar
Milgrom J, Gemmill AW, Bilszta JL, Hayes B, Barnett B, Brooks J, et al. Antenatal risk factors for postnatal depression: a large prospective study. J Affect Disord. 2008;108:147–57.
Article
PubMed
Google Scholar
Saadeh FB, Clark MA, Rogers ML, Linkletter CD, Phipps MG, Padbury JF, et al. Pregnant and moving: understanding residential mobility during pregnancy and in the first year of life using a prospective birth cohort. Matern Child Health J. 2013;17:330–43.
Article
PubMed
Google Scholar
Baird DD, Saldana TM, Shore DL, Hill MC, Schectman JM. A single baseline ultrasound assessment of fibroid presence and size is strongly predictive of future uterine procedure: 8-year follow-up of randomly sampled premenopausal women aged 35-49 years. Hum Reprod. 2015;30:2936–44.
CAS
PubMed
PubMed Central
Google Scholar
Kandula NR, Puri-Taneja A, Victorson DE, Dave SS, Kanaya AM, Huffman MD. Mediators of atherosclerosis in south Asians living in America: use of web-based methods for follow-up and collection of patient-reported outcome measures. JMIR Res Protoc. 2016;5:e95.
Article
PubMed
PubMed Central
Google Scholar
Elbogen EB, Johnson SC, Newton VM, Timko C, Vasterling JJ, Van Male LM, et al. Protective mechanisms and prevention of violence and aggression in veterans. Psychol Serv. 2014;11:220–8.
Article
PubMed
PubMed Central
Google Scholar
Powers J, Tavener M, Graves A, Loxton D. Loss to follow-up was used to estimate bias in a longitudinal study: a new approach. J Clin Epidemiol. 2015;68:870–6.
Article
PubMed
Google Scholar
Young AF, Powers JR, Bell SL. Attrition in longitudinal studies: who do you lose? Aust N Z J Public Health. 2006;30:353–61.
Article
PubMed
Google Scholar
Decker KM. Retention of screened women in program. Can J Public Heal. 2008;99:216–20.
Google Scholar
Boucher S, Gray A, Leong SL, Sharples H, Horwath C. Token monetary incentives improve mail survey response rates and participant retention: results from a large randomised prospective study of mid-age New Zealand women. N Z Med J. 2015;128:1175–8716.
Google Scholar
Ekman A, Klint Å, Dickman PW, Adami HO, Litton JE. Optimizing the design of web-based questionnaires - experience from a population-based study among 50,000 women. Eur J Epidemiol. 2007;22:293–300.
Article
PubMed
Google Scholar
Zielinski R, Ackerson K, Misiunas RB, Miller JM. Feasibility of a longitudinal study of women anticipating first pregnancy and assessed by multiple pelvic exams: recruitment and retention challenges. Contemp Clin Trials. 2010;31:544–8.
Article
PubMed
PubMed Central
Google Scholar
Farrall S, Hunter B, Sharpe G, Calverley A. What ‘works’ when retracing sample members in a qualitative longitudinal study? Int J Soc Res Methodol. 2016;19:287–300.
Article
Google Scholar
Lawrance M, Sayers SM, Singh GR. Challenges and strategies for cohort retention and data collection in an indigenous population: Australian aboriginal birth cohort. BMC Med Res Methodol. 2014;14:31.
Article
PubMed
PubMed Central
Google Scholar
Richter LM, Panday S, Norris SA. Factors influencing enrolment: a case study from birth to twenty, the 1990 birth cohort in Soweto-Johannesburg. Eval Program Plann. 2009;32:197–203.
Article
PubMed
PubMed Central
Google Scholar
Greene N, Greenland S, Olsen J, Nohr EA. Estimating bias from loss to follow-up in the Danish National Birth Cohort. Epidemiology. 2011;22:815–22.
PubMed
Google Scholar
Nunes MA, Ferri CP, Manzolli P, Soares RM, Drehmer M, Buss C, et al. Nutrition, mental health and violence: from pregnancy to postpartum cohort of women attending primary care units in southern Brazil - ECCAGE study. BMC Psychiatry. 2010;10:66.
Article
PubMed
PubMed Central
Google Scholar
Ng SK, Scott R, Scuffham PA. Contactable non-responders show different characteristics compared to lost to follow-up participants: insights from an Australian longitudinal birth cohort study. Matern Child Health J. 2016;20:1472–84.
Article
PubMed
Google Scholar
Cubbin C. Survey methodology of the geographic research on wellbeing (GROW) study. BMC Res Notes. 2015;8:402.
Article
PubMed
PubMed Central
Google Scholar
Morton SMB, Grant CC, Carr PEA, Robinson EM, Kinloch JM, Fleming CJ, et al. How do you recruit and retain a prebirth cohort? Lessons learnt from growing up in New Zealand. Eval Health Prof. 2014;37:411–33.
Article
PubMed
Google Scholar
Yamakawa N, Koike H, Ohtani N, Bonno M, Tanaka S, Ido M, et al. Mission in Sukusuku cohort, Mie: focusing on the feasibility and validity of methods for enrolling and retaining participants. J Epidemiol. 2010;20(Suppl 2):S407–12.
Article
PubMed
PubMed Central
Google Scholar
Firestone R, Cheng S, Pearce N, Douwes J, Merletti F, Pizzi C, et al. Internet-based birth-cohort studies: is this the future for epidemiology? JMIR Res Protoc. 2015;4:e71.
Article
PubMed
PubMed Central
Google Scholar
Dubé E, Bettinger JA, Halperin B, Bradet R, Lavoie F, Sauvageau C, et al. Determinants of parents’ decision to vaccinate their children against rotavirus: results of a longitudinal study. Health Educ Res. 2012;27:1069–80.
Article
PubMed
Google Scholar
Launes J, Hokkanen L, Laasonen M, Tuulio-Henriksson A, Virta M, Lipsanen J, et al. Attrition in a 30-year follow-up of a perinatal birth risk cohort: factors change with age. PeerJ. 2014;2:e480.
Article
PubMed
PubMed Central
Google Scholar
Gartrell N, Bos H. US national longitudinal lesbian family study: psychological adjustment of 17-year-old adolescents. Pediatrics. 2010;126:28–36.
Article
PubMed
Google Scholar
Brannon EE, Kuhl ES, Boles RE, Aylward BS, Benoit Ratcliff M, Valenzuela JM, et al. Strategies for recruitment and retention of families from low-income, ethnic minority backgrounds in a longitudinal study of caregiver feeding and child weight. Child Heal Care. 2013;42:198–213.
Article
Google Scholar
Baker LA, Tuvblad C, Wang P, Gomez K, Bezdjian S, Niv S, et al. The Southern California twin register at the University of Southern California: III. Twin Res Hum Genet. 2013;16:336–43.
Article
PubMed
PubMed Central
Google Scholar
Winding TN, Andersen JH, Labriola M, Nohr EA. Initial non-participation and loss to follow-up in a Danish youth cohort: implications for relative risk estimates. J Epidemiol Community Health. 2014;68:137–44.
Article
PubMed
Google Scholar
Trang NHHD, Hong TK, Dibley MJ. Cohort profile: Ho Chi Minh City youth cohort--changes in diet, physical activity, sedentary behaviour and relationship with overweight/obesity in adolescents. BMJ Open. 2012;2:e000362.
Article
PubMed
PubMed Central
Google Scholar
Strycker LA, Duncan SC, Duncan TE, He H, Desai N. Retention of African-American and white youth in a longitudinal substance use study. J Ethn Subst Abus. 2006;5:119–31.
Article
Google Scholar
Whitbeck LB, Sittner Hartshorn KJ, Crawford DM, Walls ML, Gentzler KC, Hoyt DR. Mental and substance use disorders from early adolescence to young adulthood among indigenous young people: final diagnostic results from an 8-year panel study. Soc Psychiatry Psychiatr Epidemiol. 2014;49:961–73.
Article
PubMed
PubMed Central
Google Scholar
Neiswanger K, McNeil DW, Foxman B, Govil M, Cooper ME, Weyant RJ, et al. Oral health in a sample of pregnant women from northern Appalachia (2011–2015). Int J Dent. 2015;2015:1–12.
Article
Google Scholar
Strotmeyer ES, Arnold AM, Boudreau RM, Ives DG, Cushman M, Robbins JA, et al. Long-term retention of older adults in the cardiovascular health study: implications for studies of the oldest old. J Am Geriatr Soc. 2010;58:696–701.
Article
PubMed
PubMed Central
Google Scholar
Gu D. General Data Quality Assessment of the CLHLS. In: Zeng Y, Poston Jr DL, Ashbaugh Vlosky D, Gu D, editors. Healthy Longevity in China: Demographic, Socioeconomic, and Psychological Dimensions. Dordrecht: Springer Science+Business Media B.V.; 2008. p. 39–60.
Stevens NL, Van Tilburg TG. Cohort differences in having and retaining friends in personal networks in later life. J Soc Pers Relat. 2011;28:24–43.
Article
Google Scholar
Adams ER, Nolan VG, Andersen SL, Perls TT, Terry DF. Centenarian offspring: start healthier and stay healthier. J Am Geriatr Soc. 2008;56:2089–92.
Article
PubMed
PubMed Central
Google Scholar
Davies K, Kingston A, Robinson L, Hughes J, Hunt JM, Barker SAH, et al. Improving retention of very old participants in longitudinal research: experiences from the Newcastle 85+ study. PLoS One. 2014;9:1–10.
Google Scholar
Carlson BW, Carlson JR, Neelon VJ, Hartman M. Tailoring protocols to successfully recruit and retain older adults in a longitudinal study of sleep and cognition. Res Gerontol Nurs. 2008;1:232–7.
Article
PubMed
PubMed Central
Google Scholar
Allman RM, Sawyer P, Crowther M, Strothers HS, Turner T, Fouad MN. Predictors of 4-year retention among African American and white community-dwelling participants in the UAB study of aging. Gerontologist. 2011;51:S46–58.
Article
PubMed
PubMed Central
Google Scholar
Gerhart JI, Hall BJ, Russ EU, Canetti D, Hobfoll SE. Sleep disturbances predict later trauma-related distress: cross-panel investigation amidst violent turmoil. Health Psychol. 2014;33:365–72.
Article
PubMed
Google Scholar
Tay A, Rees S, Steel Z, Tam N, Soares Z, Soares C, et al. Six-year trajectories of post-traumatic stress and severe psychological distress symptoms and associations with timing of trauma exposure, ongoing adversity and sense of injustice: a latent transition analysis of a community cohort in conflict-affected Ti. BMJ Open. 2016;6:e010205.
Article
CAS
PubMed
PubMed Central
Google Scholar
Walker J, Fairley CK, Urban E, Chen MY, Bradshaw C, Walker SM, et al. Maximising retention in a longitudinal study of genital chlamydia trachomatis among young women in Australia. BMC Public Health. 2011;11:156.
Article
PubMed
PubMed Central
Google Scholar