Better together: Advancing life course research through multi-cohort analytic approaches

Anderson, 2016, There’s more than one way to conduct a replication study: Beyond statistical significance, Psychological Methods, 21, 1, 10.1037/met0000051 Bainter, 2015, Advantages of integrative data analysis for developmental research, Journal of Cognition and Development, 16, 1, 10.1080/15248372.2013.871721 Barouki, 2012, Developmental origins of non-communicable disease: Implications for research and public health, Environmental Health, 11, 42, 10.1186/1476-069X-11-42 Bauer, 2009, Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models, Psychological Methods, 14, 101, 10.1037/a0015583 Bilgin, 2021, Subjective well-being and self-esteem in preterm born adolescents: An individual participant data meta-analysis, Journal of Developmental and Behavioral Pediatrics, 42, 613, 10.1097/DBP.0000000000000947 Brown, 2007, Cohort profile: The international childhood cancer cohort consortium (I4C), International Journal of Epidemiology, 36, 724, 10.1093/ije/dyl299 Burke, 2017, Meta‐analysis using individual participant data: One‐stage and two‐stage approaches, and why they may differ, Statistics in Medicine, 36, 855, 10.1002/sim.7141 Christensen, 2019 CLOSER, & Rainsberry, M. (2019). Preparing for the future: Tackling the key challenges facing the UK’s longitudinal population studies. 〈https://www.closer.ac.uk/wp-content/uploads/20190401-Preparing-for-the-future-Conference-report.pdf〉. Contreras, 2018, Does early onset asthma increase childhood obesity risk? A pooled analysis of 16 European cohorts, European Respiratory Journal, 52, 10.1183/13993003.00504-2018 Curran, 2009, Integrative data analysis: The simultaneous analysis of multiple data sets, Psychological Methods, 14, 81, 10.1037/a0015914 Downes, 2022, Causal inference in multi-cohort studies using the target trial approach, arXiv Doyle, 2009, The costing and funding of longitudinal birth cohort studies, Paediatric and Perinatal Epidemiology, 23, 86, 10.1111/j.1365-3016.2008.01011.x Fortier, 2017, Maelstrom research guidelines for rigorous retrospective data harmonization, International Journal of Epidemiology, 46, 103 Freese, 2017, Replication in social science, Annual Review of Sociology, 43, 147, 10.1146/annurev-soc-060116-053450 Friedman, 2014, A new life-span approach to conscientiousness and health: Combining the pieces of the causal puzzle, Developmental Psychology, 50, 1377, 10.1037/a0030373 Gasser, 2017, Stability and change in dietary scores and patterns across six waves of the Longitudinal Study of Australian Children, British Journal of Nutrition, 117, 1137, 10.1017/S0007114517000897 Gatz, 2015, Data harmonization in aging research: Not so fast, Experimental aging research, 41, 475, 10.1080/0361073X.2015.1085748 Gaye, 2014, DataSHIELD: Taking the analysis to the data, not the data to the analysis, International Journal of Epidemiology, 43, 1929, 10.1093/ije/dyu188 Goldfeld, 2019, Driving precision policy responses to child health and developmental inequities, Health Equity, 3.1 Goldfeld, 2018, The impact of multidimensional disadvantage over childhood on developmental outcomes in Australia, International Journal of Epidemiology, 10.1093/ije/dyy087 Gustavson, 2017, Smoking in pregnancy and child ADHD, Pediatrics, 139, 10.1542/peds.2016-2509 Hernán, 2018, The C-word: Scientific euphemisms do not improve causal inference from observational data, American Journal of Public Health, 108, 616, 10.2105/AJPH.2018.304337 Hernán, 2019, A second chance to get causal inference right: A classification of data science tasks, Chance, 32, 42, 10.1080/09332480.2019.1579578 Hofer, 2009, Integrative data analysis through coordination of measurement and analysis protocol across independent longitudinal studies, Psychological Methods, 14, 150, 10.1037/a0015566 Howard, 2020, Perinatal mental health: A review of progress and challenges, World Psychiatry, 19, 313, 10.1002/wps.20769 Hughes, 2021, Combining longitudinal data from different cohorts to examine the life-course trajectory, American Journal of Epidemiology, 10.1093/aje/kwab190 Hung, 2008, International Lung Cancer Consortium: Pooled analysis of sequence variants in DNA repair and cell cycle pathways, Cancer Epidemiology and Prevention Biomarkers, 17, 3081, 10.1158/1055-9965.EPI-08-0411 Hussong, 2013, Integrative data analysis in clinical psychology research, Annual Review of Clinical Psychology, 9, 61, 10.1146/annurev-clinpsy-050212-185522 Hutchinson, 2015, How can data harmonisation benefit mental health research?, An example of the Cannabis Cohorts Research Consortium, 49, 317 Ioannidis, 2005, Contradicted and initially stronger effects in highly cited clinical research, Jama, 294, 218, 10.1001/jama.294.2.218 Jaddoe, 2020, The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents, European journal of epidemiology, 35, 709, 10.1007/s10654-020-00662-z Jaekel, 2022, Mathematical performance in childhood and early adult outcomes after very preterm birth: An individual participant data meta-analysis, Developmental Medicine & Child Neurology, 64, 421, 10.1111/dmcn.15132 Kern, 2014, Integrating prospective longitudinal data: Modeling personality and health in the Terman Life Cycle and Hawaii Longitudinal Studies, Developmental Psychology, 50, 1390, 10.1037/a0030874 Khoury, 2016, Precision public health for the era of precision medicine, American Journal of Preventive Medicine, 50, 398, 10.1016/j.amepre.2015.08.031 Lansford, 2016, How international research on parenting advances understanding of child development, Child Development Perspectives, 10, 202, 10.1111/cdep.12186 Lesko, 2018, Collaborative, pooled and harmonized study designs for epidemiologic research: Challenges and opportunities, International Journal of Epidemiology, 47, 654, 10.1093/ije/dyx283 Lindsay, 1993, The design of replicated studies [research-article], The American Statistician, 47, 217 Lynam, 2000, The interaction between impulsivity and neighborhood context on offending: The effects of impulsivity are stronger in poorer neighborhoods, Journal of Abnormal Psychology, 109, 563, 10.1037/0021-843X.109.4.563 McElroy, E., Richards, M., Fitzsimons, E., Conti, G., Ploubidis, G. B., Sullivan, A., & Moulton, V. (2021). Feasibility of retrospectively harmonising cognitive measures in five British birth cohort studies. 〈https://www.closer.ac.uk/wp-content/uploads/210419-final-Feasability-harmonising-cognitive-measures-in-five-British-birth-cohorts.pdf〉. Medical Research Council. (2014). Maximising the value of UK population cohorts: MRC Strategic Review of the Largest UK Population Cohort Studies. Miettunen, 2016, Latent variable mixture modeling in psychiatric research–A review and application, Psychological Medicine, 46, 457, 10.1017/S0033291715002305 Mikkelsen, 2019, Life course approach to prevention and control of non-communicable diseases, BMJ, 364 Moreno-Betancur, 2021, The target trial: A powerful device beyond well-defined interventions, Epidemiology, 32, 291, 10.1097/EDE.0000000000001318 Munafò, 2018, Repeating experiments is not enough, Nature, 553, 399, 10.1038/d41586-018-01023-3 National Health and Medical Research Council. (2020). Australian guidelines to reduce health risks from drinking alcohol. 〈https://www.nhmrc.gov.au/about-us/publications/australian-guidelines-reduce-health-risks-drinking-alcohol〉. Ng, 2014, Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013, The Lancet, 384, 766, 10.1016/S0140-6736(14)60460-8 Nicholson, 2012, Socioeconomic inequality profiles in physical and developmental health from 0 to 7 years: Australian national study, Journal of Epidemiology & Community Health, 66, 81, 10.1136/jech.2009.103291 O’Connor, 2021, Natural history of mental health competence from childhood to adolescence, Journal of Epidemiology and Community Health, 76, 133, 10.1136/jech-2021-216761 O’Connor, 2020, Addressing childhood adversity is crucial for post-COVID-19 recovery, MJA Insight, 43 O’Connor, 2022, Data resource profile: Melbourne children’s LifeCourse initiative (LifeCourse), International Journal of Epidemiology, 10.1093/ije/dyac086 O'Connor, 2020, Exposure to adversity and inflammatory outcomes in mid and late childhood, Brain, Behavior, & Immunity - Health, 10.1016/j.bbih.2020.100146 O’Neill, 2019, Data resource profile: Cohort and longitudinal studies enhancement resources (CLOSER), International Journal of Epidemiology, 10.1093/ije/dyz004 Olsson, 2020, The Australian and New Zealand Intergenerational Cohort Consortium: A study protocol for investigating mental health and well-being across generations, Longitudinal and Life Course Studies, 11, 267, 10.1332/175795920X15792720930280 Open Science Collaboration, 2015, Estimating the reproducibility of psychological science, Science, 349, 10.1126/science.aac4716 Palfrey, 2005, Addressing the millennial morbidity: The context of community pediatrics, Pediatrics, 115, 1121, 10.1542/peds.2004-2825B Patalay, 2020, Prescribing measures: Unintended negative consequences of mandating standardized mental health measurement, Journal of Child Psychology & Psychiatry, 62, 1032, 10.1111/jcpp.13333 Patel, 2007, Mental health of young people: A global public-health challenge, The Lancet, 369, 1302, 10.1016/S0140-6736(07)60368-7 Patton, 2018, Adolescence and the next generation, Nature, 554, 458, 10.1038/nature25759 Peng, 2006, Reproducible epidemiologic research, American Journal of Epidemiology, 163, 783, 10.1093/aje/kwj093 Pinot de Moira, 2021, The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables, European Journal of Epidemiology, 36, 565, 10.1007/s10654-021-00733-9 Plucker, 2021, Replication is important for educational psychology: Recent developments and key issues, Educational Psychologist, 1 Proimos, 2012, Noncommunicable diseases in children and adolescents, Pediatrics, 130, 379, 10.1542/peds.2012-1475 Reilly, 2011, Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: Systematic review, International Journal of Obesity, 35, 891, 10.1038/ijo.2010.222 Reiner, 2019, Diseases, injuries, and risk factors in child and adolescent health, 1990–2017: Findings from the global burden of diseases, injuries, and risk factors 2017 study, JAMA Pediatrics, 173 Riley, 2010, Meta-analysis of individual participant data: Rationale, conduct, and reporting, BMJ, 340, c221, 10.1136/bmj.c221 Rosenthal, 2001, Meta-analysis: Recent developments in quantitative methods for literature reviews, Annual Review of Psychology, 52, 59, 10.1146/annurev.psych.52.1.59 Rothman, 2018, Planning study size based on precision rather than power, Epidemiology, 29, 10.1097/EDE.0000000000000876 Sallis, 2019, General psychopathology, internalising and externalising in children and functional outcomes in late adolescence, Journal of Child Psychology and Psychiatry, 60, 1183, 10.1111/jcpp.13067 Samoli, 2021, Modeling multi-level survival data in multi-center epidemiological cohort studies: Applications from the ELAPSE project, Environment International, 147, 10.1016/j.envint.2020.106371 Santor, 2006, Eight decades of measurement in depression [article], Measurement, 4, 135 Schmidt, 2009, Shall we really do it again? The powerful concept of replication is neglected in the social sciences, Review of General Psychology, 13, 90, 10.1037/a0015108 Sellers, 2019, Cross-cohort change in adolescent outcomes for children with mental health problems, Journal of Child Psychology and Psychiatry, 10.1111/jcpp.13029 Shonkoff, 2009, Neuroscience, molecular biology, and the childhood roots of health disparities: Building a new framework for health promotion and disease prevention, Journal of the American Medical Association, 301, 2252, 10.1001/jama.2009.754 Shrout, 2018, Psychology, science, and knowledge construction: Broadening perspectives from the replication crisis, Annual Review of Psychology, 69, 487, 10.1146/annurev-psych-122216-011845 Siddique, 2015, Multiple imputation for harmonizing longitudinal non‐commensurate measures in individual participant data meta‐analysis, Statistics in Medicine, 34, 3399, 10.1002/sim.6562 Simons, 2014, The value of direct replication, Perspectives on Psychological Science, 9, 76, 10.1177/1745691613514755 Spry, 2020, Maternal mental health and infant emotional reactivity: A 20-year two-cohort study of preconception and perinatal exposures, Psychological Medicine, 50, 827, 10.1017/S0033291719000709 Sun, 2013, Effects of early-life environment and epigenetics on cardiovascular disease risk in children: Highlighting the role of twin studies, Pediatric Research, 73, 523, 10.1038/pr.2013.6 Teague, 2018, Retention strategies in longitudinal cohort studies: A systematic review and meta-analysis, BMC Medical Research Methodology, 18, 151, 10.1186/s12874-018-0586-7 VanderWeele, 2021, Can sophisticated study designs with regression analyses of observational data provide causal inferences?, JAMA Psychiatry, 78, 244, 10.1001/jamapsychiatry.2020.2588 Walport, 2011, Sharing research data to improve public health, The Lancet, 377, 537, 10.1016/S0140-6736(10)62234-9 Watts, 2019, The 2019 report of The Lancet Countdown on health and climate change: Ensuring that the health of a child born today is not defined by a changing climate, The Lancet, 394, 1836, 10.1016/S0140-6736(19)32596-6 Wiens, 2020, A growing need for youth mental health services in Canada: Examining trends in youth mental health from 2011 to 2018, Epidemiology and Psychiatric Sciences, 29, 10.1017/S2045796020000281 World Health Organization. (2018). Making every school a health promoting school. World Health Organization. (2020). Guidelines on mental health promotive and preventive interventions for adolescents: helping adolescents thrive.