Wikipedia
Longitudinal study
A longitudinal study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time (i.e., uses longitudinal data). It is often a type of observational study, although it can also be structured as longitudinal randomized experiment.[1]
Longitudinal studies are often used in social-personality and clinical psychology, to study rapid fluctuations in behaviors, thoughts, and emotions from moment to moment or day to day; in developmental psychology, to study developmental trends across the life span; and in sociology, to study life events throughout lifetimes or generations; and in consumer research and political polling to study consumer trends. The reason for this is that, unlike cross-sectional studies, in which different individuals with the same characteristics are compared,[2] longitudinal studies track the same people, and so the differences observed in those people are less likely to be the result of cultural differences across generations, that is, the cohort effect. Longitudinal studies thus make observing changes more accurate and are applied in various other fields. In medicine, the design is used to uncover predictors of certain diseases. In advertising, the design is used to identify the changes that advertising has produced in the attitudes and behaviors of those within the target audience who have seen the advertising campaign. Longitudinal studies allow social scientists to distinguish short from long-term phenomena, such as poverty. If the poverty rate is 10% at a point in time, this may mean that 10% of the population are always poor or that the whole population experiences poverty for 10% of the time.
Longitudinal studies can be retrospective (looking back in time, thus using existing data such as medical records or claims database) or prospective (requiring the collection of new data).[citation needed]
Cohort studies are one type of longitudinal study which sample a cohort (a group of people who share a defining characteristic, typically who experienced a common event in a selected period, such as birth or graduation) and perform cross-section observations at intervals through time. However, not all longitudinal studies are cohort studies, as longitudinal studies can instead include a group of people who do not share a common event.[3]
Advantages edit
When longitudinal studies are observational, in the sense that they observe the state of the world without manipulating it, it has been argued that they may have less power to detect causal relationships than experiments. However, because of the repeated observation at the individual level, they have more power than cross-sectional observational studies, by virtue of being able to exclude time-invariant unobserved individual differences and also of observing the temporal order of events.[4][failed verification]
Longitudinal studies do not require large numbers of participants (as in the examples below). Qualitative longitudinal studies may include only a handful of participants,[5] and longitudinal pilot or feasibility studies often have fewer than 100 participants.[6]
Disadvantages edit
Some of the disadvantages of longitudinal study are that they are time-consuming and expensive. Therefore, they are not convenient.[7]
Longitudinal studies cannot avoid attrition effect, that is, subjects cannot continue to participate in the study for various reasons. Under longitudinal research methods, the loss of the research sample will bias the remaining small sample. Practice effect is also one of the problems. Longitudinal studies tend to be biased by the fact that subjects repeat the same procedure many times (potentially introducing autocorrelation), and their performance will be improved or decreased.
Examples edit
| Study name | Type | Country or region | Year started | Participants | Remarks |
|---|---|---|---|---|---|
| 45 and Up Study | Cohort | Australia | 2006 | 267,153 | The 45 and Up Study is a longitudinal study of participants aged 45 years and over in New South Wales conducted by the Sax Institute. Researchers are able to analyze Study data linked to MBS and PBS data, the NSW cancer registry, State hospitalizations, and emergency department visits and mortality data. The Study is used by both researchers and policymakers to better understand how Australians are aging and using health services to prevent and manage ill-health and disability and guide health system decisions. 45 and Up is the largest ongoing study of healthy aging in the Southern Hemisphere. |
| Alzheimer's Disease Neuroimaging Initiative | Panel | International | 2004 | n/a | – |
| Australian Longitudinal Study on Women's Health (ALSWH) | Cohort | Australia | 1996 | 50,000 | Includes four cohorts of women: born between 1921 and 1926, 1946–1951, 1973–1978 and 1989–1995 |
| Nurses' Health Study | Cohort | United States | 1976 | 275,000 | Most expensive and largest observational health study in history |
| The Jyväskylä Longitudinal Study of Personality and Social Development,[8] (JYLS) | Cohort | Finland | 1968 | 369 | The sample was drawn from 12 complete school classes. Data has been collected when the participants were 8, 14, 20, 27, 33, 36, 42 and 50 years old. |
| Building a New Life in Australia : The Longitudinal Study of Humanitarian Migrants (BNLA)[9] | Cohort | Australia | 2013 | 2,399 | a longitudinal study of the settlement experience of humanitarian arrivals in Australia |
| Colombian Longitudinal Survey by Universidad de los Andes (ELCA)[10] | Panel | Colombia | 2010 | 15,363[11] | Follows rural and urban households for increasing the comprehension of social and economic changes in Colombia |
| Avon Longitudinal Study of Parents and Children (ALSPAC) | Cohort | United Kingdom | 1991 | 14,000 | – |
| Born in Bradford | Cohort | United Kingdom | 2007 | 12,500 | – |
| 1970 British Cohort Study (BCS70) | Cohort | United Kingdom | 1970 | 17,000 | Monitors the development of babies born in the UK in one particular week in April 1970 |
| British Doctors Study | Cohort | United Kingdom | 1951 | 40,701 | Monitored the health of British male doctors. It provided convincing evidence of the link between smoking and cancer. |
| British Household Panel Study | Panel | United Kingdom | 1991 | 5,500 households (~10,000 individuals) | Modeled on the US Panel Study of Income Dynamics PSID study |
| Busselton Health Study[12] | Panel | Australia | 1966 | 10,000 | – |
| Caerphilly Heart Disease Study | Cohort | United Kingdom | 1979 | 2,512 | Male subjects (Wales) |
| Canadian Longitudinal Study on Aging (CLSA-ÉLCV)[13] | Cohort | Canada | 2011 | 51,388[14] | All research participants will be followed until 2033 or death.[15] |
| Child Development Project[16] | Cohort | United States | 1987 | 585 | Follows children recruited the year before they entered kindergarten in three US cities: Nashville and Knoxville, Tennessee, and Bloomington, Indiana |
| Children of Immigrants Longitudinal Study (CILS) | Cohort | United States | 1992 | 5,262 | Florida |
| Congenital Heart Surgeons' Society (CHSS) | Cohort | Canada | – | 5,000 | Various studies, managed by the Data Center Studies on Congenital Heart Diseases |
| Dunedin Multidisciplinary Health and Development Study | Cohort | New Zealand | 1972 | 1,037 | Participants born in Dunedin during 1972–73 |
| Study of migrants and squatters in Rio's Favelas | Cohort | Brazil | 1968 | n/a | The work of Janice Perlman, reported in her book Favela (2014)[17] |
| Footprints in Time; the longitudinal study of Indigenous children[18] | Cohort | Australia | 2008 | 1,680 | Study of Aboriginal and Torres Strait Islander children in selected locations across Australia |
| Fragile Families and Child Wellbeing Study | Cohort | United States | 1998 | n/a | Study being conducted in 20 cities |
| Framingham Heart Study | Cohort | United States | 1948 | 5,209 | Massachusetts |
| Genetic Studies of Genius | Cohort | United States | 1921 | 1,528 | The world's oldest and longest-running longitudinal study |
| Socio-Economic Panel (SOEP) | Panel | Germany | 1984 | 12,000 | – |
| Growing Up in Ireland (GUI) | Cohort | The Republic of Ireland | 2006 | 8,000 children 10,000 infants | Growing Up in Ireland is an Irish Government-funded study of children being carried out jointly by the Economic and Social Research Institute and Trinity College Dublin. The study started in 2006 and follows the progress of two groups of children: 8,000 9-year-olds (Child Cohort/Cohort ’98) and 10,000 9-month-olds (Infant Cohort/Cohort ’08). |
| Growing Up in New Zealand (GUiNZ) | Cohort | New Zealand | 2009 | 6,846 children | GUiNZ is New Zealand's largest ongoing longitudinal study. It follows approximately 11% of all NZ children born between 2009 and 2010.[19] The study aims to look in depth at the health and well-being of children (and their parents) growing up in NZ. |
| Growing Up in Scotland (GUS) | Cohort | Scotland | 2003 | 14,000 | Scotland |
| Health and Retirement Study | Cohort | United States | 1988 | 22,000 | – |
| Household, Income and Labour Dynamics in Australia Survey | Panel | Australia | 2001 | 25,000 | – |
| Grant Study | Cohort | United States | 1939 | 268 | A 75-year longitudinal study of 268 physically and mentally healthy Harvard college sophomores from the classes of 1939–1944. |
| Growing Up in Australia; the longitudinal study of Australian children[20] | Cohort | Australia | 2004 | 10,000 | – |
| Midlife in the United States | Cohort | United States | 1983 | 6,500 | – |
| Manitoba Follow-Up Study (MFUS) | Cohort | Canada | 1948 | 3,983 men | Canada's largest and longest running investigation of cardiovascular disease and successful aging |
| Millennium Cohort Study (MCS) | Cohort | United Kingdom | 2000 | 19,000 | Study of child development, social stratification, and family life |
| Millennium Cohort Study | Cohort | United States | 2000 | 200,000 | Evaluation of long-term health effects of military service, including deployments |
| Minnesota Twin Family Study | Cohort | United States | 1983 | 17,000 (8,500 twin pairs) | – |
| National Child Development Study (NCDS) | Cohort | United Kingdom | 1958 | 17,000 | – |
| National Educational Panel Study (NEPS) | Cohort | Germany | 2009 | 60,000 | Study on the development of competencies, educational processes, educational decisions, and returns to education in formal, nonformal, and informal contexts throughout the life span |
| National Longitudinal Surveys (NLS) | Cohort | United States | 1979 | 12,686 (NLSY79), 9,000 (approx., NLSY97) | Includes four cohorts: NLSY79 (born 1957–64), NLSY97 (born 1980–84), NLSY79 Children and Young Adults, National Longitudinal Surveys of Young Women and Mature Women (NLSW) |
| National Longitudinal Survey of Children and Youth (NLSCY) | Cohort | Canada | 1994 | 35,795 | Inactive since 2009 |
| National Health and Nutrition Examination Survey (NHANES) | Cohort | United States | 1971 | 8,837 (since 1999) | Continual since 1999 |
| Nature vs Nurture study | Cohort | United States | 1960 | 11[22] | Concluded in 1980. Controversial study by Peter B. Neubauer of twins and triplets separated at birth. Never published. |
| Pacific Islands Families Study | Cohort | New Zealand | 2000 | 1,398 | – |
| Panel Study of Belgian Households[23] | Panel | Belgium | 1992 | 11,000[24] | – |
| Panel Study of Income Dynamics | Panel | United States | 1968 | 70,000 | Possibly the oldest household longitudinal survey in the US |
| The Raine Study | Cohort | Australia | 1989 | 5,768 (Gen1 + Gen2) 750 (Gen3) 100 (Gen0) | The Raine Study is based in Perth, Western Australia. It has followed the same group of pregnant women (Gen1) and their babies (Gen2) who were born into the study between 1989 and 1992. Its original aim was to investigate the benefits of more frequent ultrasound scans on infant health.[25] It now studies the impact that early life factors (from the womb onwards) have on health throughout life.[26] The Raine Study now includes 4 generations of cohort members. |
| Rotterdam Study | Cohort | Netherlands | 1990 | 15,000 | Focus is on inhabitants of Ommoord, a suburb of Rotterdam |
| Seattle 500 Study | Cohort | United States | 1974 | 500 | Study of the effects of prenatal health habits on human development |
| Stirling County Study | Cohort | Canada | 1952 | 639 | Long-term study epidemiology of psychiatric disorders. Two cohorts were studied (575 from 1952 to 1970; 639 from 1970 to 1992).[27] |
| Study of Health in Pomerania | Cohort | Germany | 1997 | 15,000 | Investigates common risk factors, sub-clinical disorders and manifest diseases in a high-risk population |
| Study of Mathematically Precocious Youth | Cohort | United States | 1972 | 5,000 | Follows highly intelligent people identified by age 13. |
| Survey of Health, Ageing, and Retirement in Europe (SHARE) | Panel | Europe | 2002 | 120,000 | Multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of individuals aged 50 or over |
| Irish Longitudinal Study on Ageing (TILDA) | Cohort | Ireland | 2009 | 8,500 | Studies health, social and financial circumstances of the older Irish population |
| New Zealand Attitudes and Values Study | – | New Zealand | 2009 | n/a | – |
| Seattle Longitudinal Study | Cohort | United States | 1956 | 6,000 [28] | – |
| Understanding Society: The UK Household Longitudinal Study | Panel | United Kingdom | 2009 | 100,000 | Incorporates the British Household Panel Study |
| Up Series | Cohort | United Kingdom | 1964 | 14 | Documentary film project by Michael Apted |
| Study on Global Ageing and Adult Health (SAGE) | Cohort | International | 2002 | 65,964 | Studies the health and well-being of adult populations and the ageing process in six countries: China, Ghana, India, Mexico, Russian Federation and South Africa |
| Wisconsin Longitudinal Study[29] | Cohort | United States | 1957 | 10,317 | Follows graduates from Wisconsin high schools in 1957 |
| ONS Longitudinal Study[30][31] | Panel | England and Wales | 1974 (data from 1971) | 500,000 (1% sample of the population of England and Wales. The LS contains records on over 500,000 people usually resident in England and Wales at each point in time) | The sample comprises people born on one of four selected dates of birth and therefore makes up about 1% of the total population. The sample was initiated at the time of the 1971 Census, and the four dates were used to update the sample at the 1981,1991 2001 and 2011 Censuses and in routine event registrations. Fresh LS members enter the study through birth and immigration and existing members leave through death and emigration. Thus, the LS represents a continuous sample of the population of England and Wales, rather than a sample taken at a one-time point only. It now includes records for over 950,000 study members. In addition to the census records, the individual LS records contain data for events such as deaths, births to sample mothers, emigrations and cancer registrations. Census information is also included for all people living in the same household as the LS member. However, it is important to emphasize that the LS does not follow up household members in the same way from census to census. Support for potential users and more information available at CeLSIUS |
| Scottish Longitudinal Study (SLS)[32] | Panel | Scotland | 1991 | 274,000 (comprises 5.3% sample of the Scottish population, with records on approximately 274,000 individuals using 20 random birthdates) | The SLS is a large-scale linkage study built upon census records from 1991 onwards, with links to vital events (births, deaths, marriages, emigration); geographical and ecological data (deprivation indices, pollution, weather); primary and secondary education data (attendance, Schools Census, qualifications); and links to NHS Scotland ISD datasets, including cancer registrations, maternity records, hospital admissions, prescribing data and mental health admissions. The research potential is considerable. The SLS is a replica of the ONS Longitudinal Study but with a few key differences: sample size, commencement point and the inclusion of certain variables. The SLS is supported and maintained by the SLS Development & Support Unit with a safe-setting at the National Records of Scotland in Edinburgh. Further information and support for potential users is available at SLS-DSU |
| Northern Ireland Longitudinal Study (NILS)[33] | Panel | Northern Ireland | 2006 | 500,000 (comprises about 28% of the Northern Ireland population and approximately 50% of households). | The NILS is a large-scale, representative data-linkage study created by linking data from the Northern Ireland Health Card Registration system to 1981, 1991, 2001 and 2011 census returns and to administrative data from other sources. These include vital events registered with the General Register Office for Northern Ireland (such as births, deaths, and marriages) and the Health Card registration system migration events data. The result is a 30-year-plus longitudinal data set which is regularly being updated. In addition to this rich resource, there is also the potential to link further Health and Social care data via distinct linkage projects (DLPs). The NILS is designed for statistics and research purposes only and is managed by the Northern Ireland Statistics and Research Agency under Census legislation. The data are de-identified at the point of use; access is only from within a strictly controlled ‘secure environment’ and governed by protocols and procedures to ensure data confidentiality. |
| Early Childhood Longitudinal Study (ECLS) | United States |
See also edit
References edit
- ^ Shadish, William R.; Cook, Thomas D.; Campbell, Donald T. (2002). Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2nd ed.). Boston, Massachusetts: Houghton Mifflin. p. 267. ISBN 0-395-61556-9.
- ^ Carlson, Neil R.; Miller, Harold L. Jr.; Heth, Donald S.; Donahoe, John W.; Martin, G. Neil (2009). Psychology: the Science of Behavior (7th ed.). Boston, Massachusetts: Allyn & Bacon. p. 361. ISBN 978-0-205-54786-9.
- ^ "What is the difference between a Panel Study and a Cohort Study?". Academia Stack Exchange. Retrieved 3 February 2016.
- ^ van der Krieke, Lian; Blaauw, Frank J.; Emerencia, Ando C.; Schenk, Hendrika M.; Slaets, Joris P.J.; Bos, Elisabeth H.; de Jonge, Peter; Jeronimus, Bertus F. (August 2016). "Temporal Dynamics of Health and Well-Being: A Crowdsourcing Approach to Momentary Assessments and Automated Generation of Personalized Feedback" (PDF). Psychosomatic Medicine. Philadelphia, Pennsylvania: Lippincott Williams & Wilkins. 79 (2): 213–223. doi:10.1097/PSY.0000000000000378. PMID 27551988. S2CID 10955232.
- ^ Wood, Jennifer P.; Connelly, Denise M.; Maly, Monica R. (November 2010). "'Getting back to real living': A qualitative study of the process of community reintegration after stroke". Clinical Rehabilitation. Thousand Oaks, California: SAGE Publications. 24 (11): 1045–56. doi:10.1177/0269215510375901. PMID 20713436. S2CID 40295472.
- ^ Freeman, Joshua R.; Whitcomb, Brian W.; Roy, Amrita; Bertone‐Johnson, Elizabeth R.; Reich, Nicholas G.; Healy, Andrew J. (August 2018). "A pilot longitudinal study of anti-Müllerian hormone levels throughout gestation in low risk pregnancy". Health Science Reports. Hoboken, New Jersey: Wiley. 1 (8): e53. doi:10.1002/hsr2.53. PMC 6266452. PMID 30623089.
- ^ Cherry, Kendra. "What Is Longitudinal Research?". About.com. Retrieved 22 February 2012.
- ^ FSD. "Jyväskylä Longitudinal Study of Personality and Social Development (JYLS)". www.fsd.uta.fi. Retrieved 2017-03-30.
- ^ "Building a New Life in Australia (BNLA): The Longitudinal Study of Humanitarian Migrants". Department of Social Services, Australian Government. Retrieved 1 December 2016.
- ^ Colombian Longitudinal Survey by Universidad de los Andes (ELCA)
- ^ Encuesta Longitudinal Colombiaba de la Universidad de los Andes – ELCA 2013[permanent dead link]
- ^ "Busselton Health Study – Past Projects". BPMRI. Retrieved 1 December 2016.
- ^ "Canadian Longitudinal Study on Aging". Retrieved 1 December 2016.
- ^ Raina, Parminder; Wolfson, Christina; Kirkland, Susan; Griffith, Lauren E.; Balion, Cynthia; Cossette, Benoît; Dionne, Isabelle; Hofer, Scott; Hogan, David; van den Heuvel, Edwin R (Dec 2019). "Cohort profile: the Canadian Longitudinal Study on Aging (CLSA)". International Journal of Epidemiology. 48 (6): 1753. doi:10.1093/ije/dyz173. PMC 6929533. PMID 31633757.
- ^ Raina, Parminder; Wolfson, Christina; Kirkland, Susan; Giffith, Lauren E.; Balion, Cynthia; Cossette, Benoît; Dionne, Isabelle; Hofer, Scott; Hogan, David; van den Heuvel, Edwin R. (Dec 2019). "Cohort profile: the Canadian Longitudinal Study on Aging (CLSA)". International Journal of Epidemiology. 48 (6): 1753. doi:10.1093/ije/dyz173. PMC 6929533. PMID 31633757.
- ^ "Child Development Project – Developmental Pathways to Adjustment and Well-being in Early Adulthood". Durham, North Carolina: Center for Child & Family Policy – Duke University. Retrieved 1 December 2016.
- ^ . Archived from the original on 2018-08-09. Retrieved 2014-04-17.
- ^ "Overview of Footprints in Time – The Longitudinal Study of Indigenous Children (LSIC)". Department of Social Services, Australian Government. Retrieved 1 December 2016.
- ^ Walters, Laura (15 May 2018). "Budget 2018: $2m for NZ's biggest longitudinal study about growing up in NZ". Stuff. Retrieved 8 April 2021.
- ^ Studies, Australian Institute of Family. "Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC)". Australian Institute of Family Studies (AIFS). Retrieved 1 December 2016.
- ^ "Manitoba Follow-up Study – About The Study". Retrieved 1 December 2016.
- ^ "Adoption study records of the Child Development Center Finding Aid". Archives at Yale. New Haven, Connecticut: Yale University. Retrieved 1 December 2019.
- ^ . Archived from the original on 2007-02-09. Retrieved 2020-03-17.
- ^ Panel Study of Belgian Households, Survey summary
- ^ Newnham, J.P.; Evans, S.F.; Michael, C.A.; Stanley, F.J.; Landau, L.I. (1993-10-09). "Effects of frequent ultrasound during pregnancy: a randomised controlled trial". The Lancet. 342 (8876): 887–891. doi:10.1016/0140-6736(93)91944-H. ISSN 0140-6736. PMID 8105165. S2CID 11763088.
- ^ McKnight, Charlotte M.; Newnham, John P.; Stanley, Fiona J.; Mountain, Jenny A.; Landau, Louis I.; Beilin, Lawrence J.; Puddey, Ian B.; Pennell, Craig E.; Mackey, David A. (2012). "Birth of a cohort — the first 20 years of the Raine study". Medical Journal of Australia. 197 (11–12): 608–610. doi:10.5694/mja12.10698. ISSN 1326-5377. PMID 23230915. S2CID 43704496.
- ^ Murphy, Jane M.; Laird, Nan McKenzie; Monson, Richard R.; Sobol, Arthur M.; Leighton, Alexander H. (May 2000). "Incidence of depression in the Stirling County Study: historical and comparative perspectives". Psychological Medicine. Cambridge, Massachusetts: Cambridge University Press. 30 (3): 505–14. doi:10.1017/s0033291799002044. PMID 10883707. S2CID 40645927.
- ^ "About the Seattle Longitudinal Study". Retrieved 1 December 2016.
- ^ "Wisconsin Longitudinal Study Homepage". Retrieved 1 December 2016.
- ^ ONS Longitudinal Study
- ^ Shelton, Nicola; Marshall, Chris E.; Stuchbury, Rachel; Grundy, Emily; Dennett, Adam; Tomlinson, Jo; Duke-Williams, Oliver; Xun, Wei (April 2019). "Cohort Profile: the Office for National Statistics Longitudinal Study (The LS)". International Journal of Epidemiology. Oxford, England: Oxford University Press. 48 (2): 383–384g. doi:10.1093/ije/dyy243. PMC 6469306. PMID 30541026.
- ^ "Home :: SLS – Scottish Longitudinal Study Development & Support Unit". Retrieved 1 December 2016.
- ^ "Queen's University Belfast – NILS Research Support Unit – NILS Research Support Unit". Retrieved 1 December 2016.
External links edit
- Centre for Longitudinal Studies
- National Centre for Longitudinal Data