Cited by 188Health disparities and outcomesHealth, Environment, Cognitive AgingHistorical and modern epidemiology studies

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Life course epidemiology and public health

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Wagner, Cornelia, Carmeli, Cristian, Jackisch, Josephine, Kivimäki, Mika, van der Linden, Bernadette W A, Cullati, Stéphane, Chiolero, Arnaud·2024·The Lancet Public Health

DOI 10.1016/s2468-2667(24)00018-5

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Abstract

Life course epidemiology aims to study the effect of exposures on health outcomes across the life course from a social, behavioural, and biological perspective. In this Review, we describe how life course epidemiology changes the way the causes of chronic diseases are understood, with the example of hypertension, breast cancer, and dementia, and how it guides prevention strategies. Life course epidemiology uses complex methods for the analysis of longitudinal, ideally population-based, observational data and takes advantage of new approaches for causal inference. It informs primordial prevention, the prevention of exposure to risk factors, from an eco-social and life course perspective in which health and disease are conceived as the results of complex interactions between biological endowment, health behaviours, social networks, family influences, and socioeconomic conditions across the life course. More broadly, life course epidemiology guides population-based and high-risk prevention strategies for chronic diseases from the prenatal period to old age, contributing to evidence-based and data-informed public health actions. In this Review, we assess the contribution of life course epidemiology to public health and reflect on current and future challenges for this field and its integration into policy making.

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Dementia prevention, intervention, and care: 2020 report of the Lancet Commission
Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., Brayne, C., Burns, A., Cohen-Mansfield, J., Cooper, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30367-6 · Cited by 10,430
Retracted
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699
UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Murray, C. J. L., Aravkin, A. Y., Zheng, P., Abbafati, C., Abbas, K. M., Abbasi-Kangevari, M., Abd-Allah, F., Abdelalim, A., Abdollahi, M., Abdollahpour, I., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30752-2 · Cited by 9,854
Social conditions as fundamental causes of disease.
Link, B. G., & Phelan, J. (1995) · Journal of Health and Social Behavior · doi:10.2307/2626958 · Cited by 5,722
Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction: The American Heart Association’s Strategic Impact Goal Through 2020 and Beyond
Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives
Ben-Shlomo, Y. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.2.285 · Cited by 3,038
Cognitive reserve
Stern, Y. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.03.004 · Cited by 2,943
Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies
Law, M. R., Morris, J. K., & Wald, N. J. (2009) · BMJ · doi:10.1136/bmj.b1665 · Cited by 2,775
Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement
Siu, A. L., & on behalf of the U.S. Preventive Services Task Force (2016) · Annals of Internal Medicine · doi:10.7326/m15-2886 · Cited by 2,094
Intellectual Impairment in Children with Blood Lead Concentrations below 10 μg per Deciliter
Canfield, R. L., Henderson, C. R., Cory-Slechta, D. A., Cox, C., Jusko, T. A., & Lanphear, B. P. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022848 · Cited by 2,081
Life course epidemiology: Figure 1
Kuh, D., Ben-Shlomo, Y., Lynch, J., Hallqvist, J., & Power, C. (2003) · Journal of Epidemiology and Community Health · doi:10.1136/jech.57.10.778 · Cited by 2,019
A Life Course Approach to Chronic Disease Epidemiology
Kuh, D., Ben Shlomo, Y., & Ezra, S. (2004) · doi:10.1093/acprof:oso/9780198578154.001.0001 · Cited by 1,983
Fetal and placental size and risk of hypertension in adult life.
Barker, D. J., Bull, A. R., Osmond, C., & Simmonds, S. J. (1990) · BMJ · doi:10.1136/bmj.301.6746.259 · Cited by 1,728
Increasing value and reducing waste in research design, conduct, and analysis
Ioannidis, J. P. A., Greenland, S., Hlatky, M. A., Khoury, M. J., Macleod, M. R., Moher, D., Schulz, K. F., & Tibshirani, R. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62227-8 · Cited by 1,597
Epidemiology and the web of causation: has anyone seen the spider?
Krieger, N. (1994) · Social Science & Medicine · doi:10.1016/0277-9536(94)90202-x · Cited by 1,419
Education and cognitive functioning across the life span
Lövdén, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U., & Tucker-Drob, E. M. (2020) · Psychological Science in the Public Interest · doi:10.1177/1529100620920576 · Cited by 1,224
Origins of lifetime health around the time of conception: causes and consequences
Fleming, T. P., Watkins, A. J., Velazquez, M. A., Mathers, J. C., Prentice, A. M., Stephenson, J., Barker, M., Saffery, R., Yajnik, C. S., Eckert, J. J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30312-x · Cited by 1,147
Early Childhood Investments Substantially Boost Adult Health
Campbell, F., Conti, G., Heckman, J. J., Moon, S. H., Pinto, R., Pungello, E., & Pan, Y. (2014) · Science · doi:10.1126/science.1248429 · Cited by 1,106
The role of size at birth and postnatal catch-up growth in determining systolic blood pressure
Huxley, R., Shiell, A. W., & Law, C. (2000) · Journal of Hypertension · doi:10.1097/00004872-200018070-00002 · Cited by 1,046
Transcending the Known in Public Health Practice
Frohlich, K. L., & Potvin, L. (2008) · American Journal of Public Health · doi:10.2105/ajph.2007.114777 · Cited by 989
A call to action and a lifecourse strategy to address the global burden of raised blood pressure on current and future generations: the Lancet Commission on hypertension
Olsen, M. H., Angell, S. Y., Asma, S., Boutouyrie, P., Burger, D. E., Chirinos, J. A., Damasceno, A. A. M., Delles, C., Gimenez‐Roqueplo, A., Hering, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31134-5 · Cited by 970
A glossary for social epidemiology
Krieger, N. (2001) · Journal of Epidemiology and Community Health · doi:10.1136/jech.55.10.693 · Cited by 852
Body Mass Index and the Prevalence of Hypertension and Dyslipidemia
Brown, C., HIGGINS, M. W., Donato, K. A., Rohde, F. C., Garrison, R. J., Obarzanek, E., Ernst, N. D., & Horan, M. J. (2000) · Obesity Research · doi:10.1038/oby.2000.79 · Cited by 851
Sodium Intake and Hypertension
Grillo, A., Salvi, L., Coruzzi, P., Salvi, P., & Parati, G. (2019) · Nutrients · doi:10.3390/nu11091970 · Cited by 819
Prenatal exposure to the Dutch famine and disease in later life: An overview
Painter, R. C., Roseboom, T. J., & Bleker, O. P. (2005) · Reproductive Toxicology · doi:10.1016/j.reprotox.2005.04.005 · Cited by 784
‘Hormonal’ risk factors, ‘breast tissue age’ and the age-incidence of breast cancer
Pike, M. C., Krailo, M., Henderson, B. E., Casagrande, J. T., & Hoel, D. (1983) · Nature · doi:10.1038/303767a0 · Cited by 698
Robust research needs many lines of evidence
Munafò, M. R., & Davey Smith, G. (2018) · Nature · doi:10.1038/d41586-018-01023-3 · Cited by 666
2021 ESC Guidelines on cardiovascular disease prevention in clinical practice
Visseren, F. L. J., Mach, F., Smulders, Y. M., Carballo, D., Koskinas, K. C., Bäck, M., Bénétos, A., Biffi, A., Boavida, J.-M., Capodanno, D., et al. (2021) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwab154 · Cited by 586
Children of the Great Depression--Social Change in Life Experience.
Steinmetz, S. K., & Elder, G. H. (1976) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2064073 · Cited by 586
Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review
Pollitt, R. A., Rose, K. M., & Kaufman, J. S. (2005) · BMC Public Health · doi:10.1186/1471-2458-5-7 · Cited by 518
A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks
Hernán, M. A., Hsu, J., & Healy, B. (2019) · CHANCE · doi:10.1080/09332480.2019.1579578 · Cited by 495
Environmental chemicals and breast cancer: An updated review of epidemiological literature informed by biological mechanisms
Rodgers, K. M., Udesky, J. O., Rudel, R. A., & Brody, J. G. (2017) · Environmental Research · doi:10.1016/j.envres.2017.08.045 · Cited by 462
Alcohol consumption and hypertension.
MacMahon, S. W. (1987) · Hypertension · doi:10.1161/01.hyp.9.2.111 · Cited by 416
Does Household Income Affect children’s Outcomes? A Systematic Review of the Evidence
Cooper, K., & Stewart, K. (2020) · Child Indicators Research · doi:10.1007/s12187-020-09782-0 · Cited by 410
Modifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis
Larsson, S. C., Traylor, M., Malik, R., Dichgans, M., Burgess, S., & Markus, H. S. (2017) · BMJ · doi:10.1136/bmj.j5375 · Cited by 382
Long-Term Consequences of Fetal and Neonatal Nicotine Exposure: A Critical Review
Bruin, J. E., Gerstein, H. C., & Holloway, A. C. (2010) · Toxicological Sciences · doi:10.1093/toxsci/kfq103 · Cited by 379
Fetal nutrition and cardiovascular disease in later life
Barker, D. J. P. (1997) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a011609 · Cited by 376
Handbook of Epidemiology
Ahrens, W., & Pigeot, I. (2013) · Springer eBooks · doi:10.1007/978-0-387-09834-0 · Cited by 371
Interventions for Childhood Obesity in the First 1,000 Days A Systematic Review
Blake‐Lamb, T., Locks, L. M., Perkins, M. E., Baidal, J. W., Cheng, E. R., & Taveras, E. M. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.11.010 · Cited by 369
Can we disentangle life course processes of accumulation, critical period and social mobility? An analysis of disadvantaged socio-economic positions and myocardial infarction in the Stockholm Heart Epidemiology Program
Hallqvist, J., Lynch, J. W., Bartley, M., Lang, T., & Blane, D. (2003) · Social Science & Medicine · doi:10.1016/s0277-9536(03)00344-7 · Cited by 364
An Introduction to G Methods
Naimi, A. I., Cole, S. R., & Kennedy, E. H. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw323 · Cited by 339
Childhood and adult socioeconomic status as predictors of mortality in Finland
Lynch, J. W., Kaplan, G. A., Cohen, R. D., Wilson, T. W., Smith, N. L., Kauhanen, J., & Salonen, J. T. (1994) · The Lancet · doi:10.1016/s0140-6736(94)91468-0 · Cited by 304
The last two decades of life course epidemiology, and its relevance for research on ageing
Ben‐Shlomo, Y., Cooper, R., & Kuh, D. J. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw096 · Cited by 288
A Randomized Trial of Sodium Intake and Blood Pressure in Newborn Infants
Hofman, A. (1983) · JAMA · doi:10.1001/jama.1983.03340030030023 · Cited by 284
Contribution of Socioeconomic Status at 3 Life-Course Periods to Late-Life Memory Function and Decline: Early and Late Predictors of Dementia Risk
Marden, J. R., Tchetgen Tchetgen, E. J., Kawachi, I., & Glymour, M. M. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx155 · Cited by 284
From Developmental Origins of Adult Disease to Life Course Research on Adult Disease and Aging: Insights from Birth Cohort Studies
Power, C., Kuh, D. J., & Morton, S. (2013) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031912-114423 · Cited by 245
Statistical Issues in Life Course Epidemiology
Stavola, B. L. D., Nitsch, D., dos‐Santos‐Silva, I., McCormack, V., Hardy, R., Mann, V., Cole, T. J., Morton, S., & Leon, D. A. (2005) · American Journal of Epidemiology · doi:10.1093/aje/kwj003 · Cited by 242
Obesity and prognosis of breast cancer
Carmichael, A. R. (2006) · Obesity Reviews · doi:10.1111/j.1467-789x.2006.00261.x · Cited by 235
Body Fatness at Young Ages and Risk of Breast Cancer Throughout Life
Baer, H. J., Tworoger, S. S., Hankinson, S. E., & Willett, W. C. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq045 · Cited by 232
The Effects of Two Influential Early Childhood Interventions on Health and Healthy Behaviour
Conti, G., Heckman, J. J., & Pinto, R. (2016) · The Economic Journal · doi:10.1111/ecoj.12420 · Cited by 213
Dementia prevention: current epidemiological evidence and future perspective
Mangialasche, F., Kivipelto, M., Solomon, A., & Fratiglioni, L. (2012) · Alzheimer s Research & Therapy · doi:10.1186/alzrt104 · Cited by 204
The reproducibility “crisis”: Reaction to replication crisis should not stifle innovation
Hunter, P. (2017) · The EMBO Reports · doi:10.15252/embr.201744876 · Cited by 201
Life-course determinants of cognitive reserve (CR) in cognitive aging and dementia – a systematic literature review
Chapko, D., McCormack, R., Black, C., Staff, R. T., & Murray, A. D. (2017) · Aging & Mental Health · doi:10.1080/13607863.2017.1348471 · Cited by 191
An Argument for a Consequentialist Epidemiology
Galea, S. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt172 · Cited by 190
Non-Communicable Diseases
(2022) · F1000Research Channels · doi:10.12688/f1000research.channels.631 · Cited by 179
Sodium intake and blood pressure in children and adolescents: a systematic review and meta-analysis of experimental and observational studies
Leyvraz, M., Chatelan, A., da Costa, B. R., Taffé, P., Paradis, G., Bovet, P., Bochud, M., & Chioléro, A. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy121 · Cited by 165
Blood pressure lowering and prevention of dementia: an individual patient data meta-analysis
Peters, R., Xu, Y., Fitzgerald, O., Aung, H. L., Beckett, N., Bulpitt, C., Chalmers, J., Forette, F., Gong, J., Harris, K., et al. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehac584 · Cited by 142
Primordial Prevention of Cardiovascular Disease
Gillman, M. W. (2015) · Circulation · doi:10.1161/circulationaha.115.014849 · Cited by 131
The association between BMI and mortality using offspring BMI as an indicator of own BMI: large intergenerational mortality study
Smith, G. D., Sterne, J. A. C., Fraser, A., Tynelius, P., Lawlor, D. A., & Rasmussen, F. E. (2009) · BMJ · doi:10.1136/bmj.b5043 · Cited by 127
Framing disease: An underappreciated mechanism for the social patterning of health
Aronowitz, R. (2008) · Social Science & Medicine · doi:10.1016/j.socscimed.2008.02.017 · Cited by 124
Patient Segmentation Analysis Offers Significant Benefits For Integrated Care And Support
Vuik, S., Mayer, E. K., & Darzi, A. W. (2016) · Health Affairs · doi:10.1377/hlthaff.2015.1311 · Cited by 122
Matrescence: lifetime impact of motherhood on cognition and the brain
Orchard, E. R., Rutherford, H. J. V., Holmes, A. J., & Jamadar, S. D. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.12.002 · Cited by 120
Can Social Policies Improve Health? A Systematic Review and Meta‐Analysis of 38 Randomized Trials
Courtin, É., Kim, S., SONG, S., Yu, W., & Muennig, P. A. (2020) · Milbank Quarterly · doi:10.1111/1468-0009.12451 · Cited by 117
Avoiding overadjustment bias in social epidemiology through appropriate covariate selection: a primer
van Zwieten, A., Tennant, P. W. G., Kelly‐Irving, M., Blyth, F., Teixeira-Pinto, A. M., & Khalatbari‐Soltani, S. (2022) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2022.05.021 · Cited by 112
Birth weight, childhood body mass index, and height in relation to mammographic density and breast cancer: a register-based cohort study
Andersen, Z. J., Baker, J. L., Bihrmann, K., Vejborg, I., Sørensen, T. I. A., & Lynge, E. (2014) · Breast Cancer Research · doi:10.1186/bcr3596 · Cited by 105
Cognitive stimulation in the workplace, plasma proteins, and risk of dementia: three analyses of population cohort studies
Kivimäki, M., Walker, K. A., Pentti, J., Nyberg, S. T., Mars, N., Vahtera, J., Suominen, S. B., Lallukka, T., Rahkonen, O., Pietiläinen, O., et al. (2021) · BMJ · doi:10.1136/bmj.n1804 · Cited by 99
Considering Life Course Concepts
Hendricks, J. A. (2012) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbr147 · Cited by 98
Screening for High Blood Pressure in Children and Adolescents
US Preventive Services Task Force, Krist, A. H., Davidson, K. W., Mangione, C. M., Barry, M. J., Cabana, M. D., Caughey, A. B., Donahue, K. E., Doubeni, C. A., Epling, J. W., et al. (2020) · JAMA · doi:10.1001/jama.2020.20122 · Cited by 87
Statistical challenges in modelling the health consequences of social mobility: the need for diagonal reference models
van der Waal, J., Daenekindt, S., & de Koster, W. (2017) · International Journal of Public Health · doi:10.1007/s00038-017-1018-x · Cited by 85
Life Course Epidemiology
Ben‐Shlomo, Y., Mishra, G. D., & Kuh, D. J. (2013) · Springer eBooks · doi:10.1007/978-0-387-09834-0_56 · Cited by 73
Social class and the risk of dementia: A systematic review and meta-analysis of the prospective longitudinal studies
Bodryzlova, Y., Kim, A., Michaud, X., André, C., Bélanger, E., & Moullec, G. (2022) · Scandinavian Journal of Public Health · doi:10.1177/14034948221110019 · Cited by 70
Prevention of Cardiovascular Risk Factors in the First Place
Labarthe, D. R. (1999) · Preventive Medicine · doi:10.1006/pmed.1999.0539 · Cited by 69
Family Medicine and the Life Course Paradigm
Daaleman, T. P., & Elder, G. H. (2007) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2007.01.060012 · Cited by 57
Adding a life-course perspective to cardiovascular-risk communication
Karmali, K. N., & Lloyd‐Jones, D. M. (2013) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2012.185 · Cited by 57
Interpreting mutual adjustment for multiple indicators of socioeconomic position without committing mutual adjustment fallacies
Green, M. J., & Popham, F. (2019) · BMC Public Health · doi:10.1186/s12889-018-6364-y · Cited by 56
Epidemiology and Risk Factors for Breast Cancer: 21st Century Advances, Gaps to Address through Interdisciplinary SciencePreprint
Terry, M. B., & Colditz, G. A. (2023) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041317 · Cited by 50
Risk factors during first 1,000 days of life for carotid intima-media thickness in infants, children, and adolescents: A systematic review with meta-analyses
Epure, A. M., Leyvraz, M., Anker, D., Bernardo, S. D., da Costa, B. R., Chioléro, A., & Sekarski, N. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003414 · Cited by 47
Life course socioeconomic conditions and multimorbidity in old age – A scoping review
Wagner, C., Carmeli, C., Chioléro, A., & Cullati, S. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101630 · Cited by 39
Self-citation
The pseudo-high-risk prevention strategy
Chioléro, A., Paradis, G., & Paccaud, F. M. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv102 · Cited by 38
Assessing the Possible Direct Effect of Birth Weight on Childhood Blood Pressure: A Sensitivity Analysis
Chioléro, A., Paradis, G., & Kaufman, J. S. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt228 · Cited by 31
A life course approach to blood pressure
Whincup, P. H., Cook, D. G., & Geleijnse, J. M. (2004) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198578154.003.0009 · Cited by 31
Separating the effects of early and later life adiposity on colorectal cancer risk: a Mendelian randomization study
Papadimitriou, N., Bull, C. J., Jenab, M., Hughes, D. J., Bell, J. A., Sanderson, E. C. M., Timpson, N. J., Smith, G. D., Albanes, D., Campbell, P. T., et al. (2023) · BMC Medicine · doi:10.1186/s12916-022-02702-9 · Cited by 29
Commentary: Incorporating concepts and methods from causal inference into life course epidemiology
Stavola, B. L. D., & Daniel, R. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw103 · Cited by 21
Public Health: An Introduction to the Science and Practice of Population Health
Shultz, J. M., SULLIVAN, L. M., & Galea, S. (2019) · Cited by 19
A tipping point in cancer epidemiology: embracing a life course exposomic framework
Wright, R. J., & Hanson, H. A. (2022) · Trends in cancer · doi:10.1016/j.trecan.2022.01.016 · Cited by 16
Long-term health effects of childhood parental income
McInnis, N. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.115607 · Cited by 14
Leveraging family history data to disentangle time-varying effects on disease risk using lifecourse mendelian randomization
Richardson, T. G., Urquijo, H., Holmes, M. V., & Smith, G. D. (2023) · European Journal of Epidemiology · doi:10.1007/s10654-023-01001-8 · Cited by 14
Framing Causal Questions in Life Course Epidemiology
Stavola, B. L. D., Herle, M., & Pickles, A. R. (2021) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-040120-024748 · Cited by 12
Effect of covering perinatal health-care costs on neonatal outcomes in Switzerland: a quasi-experimental population-based study
Epure, A. M., Courtin, É., Wanner, P., Chioléro, A., Cullati, S., & Carmeli, C. (2023) · The Lancet Public Health · doi:10.1016/s2468-2667(23)00001-4 · Cited by 9
Self-citation
Post-Modern Epidemiology: Back to the Populations
Chioléro, A. (2020) · Epidemiologia · doi:10.3390/epidemiologia1010002 · Cited by 5

Research works printed but not linked: 1

Baker, 2016, Reproducibility crisis, Nature, 533, 353

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See all 188

Authors: Wagner, C., Carmeli, C., Jackisch, J., Kivimäki, M., van der Linden, B. W. A., Cullati, S., & Chiolero, A.
Affiliations: University of Fribourg (CH)
ORCID: Wagner, Cornelia
Carmeli, Cristian
Jackisch, Josephine
Cullati, Stéphane
Venue: The Lancet Public Health
Publisher: Elsevier BV
Published: 2024-04
Volume: 9
Issue: 4
Pages: e261-e269
ISSN: 2468-2667 (ISSN-L)
DOI: 10.1016/s2468-2667(24)00018-5
OpenAlex: W4393246597
Cited by: 188
References: 94
Citations by year: 2026: 102 · 2025: 68 · 2024: 18
FWCI: 17.94
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by-nc-nd
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
Locations: The Lancet Public Health (publishedVersion, cc-by-nc-nd)
PubMed (publishedVersion)
Bern Open Repository and Information System (University of Bern) (submittedVersion, cc-by-nc-nd)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Työväentutkimus Vuosikirja (submittedVersion)
Open Access CRIS of the University of Bern
Funders: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (208205)
Medical Research Council (R024227)
National Institute on Aging (R01AG062553, R01AG056477)
Wellcome Trust (221854/Z/20/Z)
Research Council of Finland (350426)
Topics: Social Sciences › Health › Health disparities and outcomes
Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Health Sciences › Medicine › Epidemiology › Historical and modern epidemiology studies
Keywords: life course epidemiology, chronic disease prevention, primordial prevention, hypertension, breast cancer, dementia, causal inference, social determinants of health, health behavior, socioeconomic conditions, prenatal exposure, public health policy
MeSH terms: Chronic Disease, Female, Humans, Life Change Events, Pregnancy, Public Health, Risk Factors, Causality

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