2026-04-30T04:50:32Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 5050 English Longitudinal Study of Ageing: Waves 0-11, 1998-2024 505010.5255/UKDA-SN-5050-35 Banks, J., Institute for Fiscal Studies Batty, G. David, University College London Breedvelt, J., NatCen Social Research Coughlin, K., University College London Crawford, R., Institute for Fiscal Studies (IFS) Marmot, M., University College London, Department of Epidemiology and Public Health Nazroo, J., University College London, Department of Epidemiology and Public Health Oldfield, Z., Institute for Fiscal Studies (IFS) Steel, N., University of East Anglia Steptoe, A., University College London, Department of Epidemiology and Public Health Wood, M., NatCen Social Research Zaninotto, P., University College London Copyright held jointly between NatCen Social Research, University College London and Institute for Fiscal Studies Department for Work and PensionsEconomic and Social Research CouncilDepartment for Communities and Local GovernmentOffice for National StatisticsHM Revenue and CustomsNational Institute of AgingDepartment of HealthDepartment for Transport UK Data Service 09 March 2005 DIETARY HABITSDIET AND NUTRITIONEXERCISE (PHYSICAL ACTIVITY)ACTIVITIES OF DAILY LIVINGSLEEPDEATHELDERLYCARE OF THE ELDERLYRETIREMENTHOUSEHOLDSHEALTHAGEOLD AGEAGEINGFAMILIESCHILDRENGRANDCHILDRENSIBLINGSMOTHERSCANCERCARDIOVASCULAR DISEASESHEART DISEASESRESPIRATORY TRACT DISEASESFATHERSFAMILY ENVIRONMENTCHRONIC ILLNESSWALKINGSYMPTOMSSIGHTEYE DISEASESHEARINGDIABETESVASCULAR DISEASESMEDICINAL DRUGSASTHMAARTHRITISNERVOUS SYSTEM DISEASESMENTAL DISORDERSACCIDENTSINJURIESMUSCULOSKELETAL SYSTEMSURGERYMEMORYCOGNITIVE PROCESSESPAINCOUGHINGMOTOR PROCESSESSOCIAL SUPPORTHOME HELPMOBILITY AIDSINCONTINENCESMOKINGALCOHOL USEPHYSICAL ACTIVITIESSPORTSOCIAL PARTICIPATIONCARE OF DEPENDANTSCINEMA ATTENDANCERESTAURANTSMUSEUMSTHEATRE ATTENDANCECONCERT GOINGMOTOR VEHICLESPUBLIC TRANSPORTECONOMIC ACTIVITYEMPLOYMENTSELF-EMPLOYEDEDUCATIONAL COURSESVOLUNTARY WORKEMPLOYMENT HISTORYINDUSTRIESOCCUPATIONSSUPERVISORY STATUSJOB REQUIREMENTSWAGESEMPLOYEESHOURS OF WORKSOCIAL SECURITY CONTRIBUTIONSJOB HUNTINGSICK PAYPARTNERSHIPS (BUSINESS)BUSINESSESOCCUPATIONAL PENSIONSPRIVATE PERSONAL PENSIONSPENSION CONTRIBUTIONSEARLY RETIREMENTSTATE RETIREMENT PENSIONSSOCIAL SECURITY BENEFITSMEDICAL INSURANCEPRIVATE HEALTH SERVICESINCOMEASSETSINVESTMENT RETURNSAVINGSINTEREST (FINANCE)SHARESBONDSLIFE INSURANCERENTSUNEARNED INCOMEPAYMENTSFINANCIAL COMMITMENTSLOANSCREDIT CARD USEFINANCIAL RESOURCESDECISION MAKINGHOUSINGHOUSING TENURERENTED ACCOMMODATIONMORTGAGESHOME BUYINGLANDLORDSSOCIAL HOUSINGFURNISHED ACCOMMODATIONUNFURNISHED ACCOMMODATIONRESIDENTIAL MOBILITYSHELTERED HOUSINGHOUSING FOR THE ELDERLYHOUSING FINANCEHOUSING AGEHOUSING CONDITIONSCENTRAL HEATINGCONSUMER GOODSDOMESTIC APPLIANCESCOGNITION DISORDERSPSYCHOLOGICAL TESTSDEPRESSIONEMOTIONAL STATESATTITUDESETHNIC GROUPSCULTURAL IDENTITYPLACE OF BIRTHQUALIFICATIONSEDUCATIONAL BACKGROUNDQUALITY OF LIFEVOTING BEHAVIOURNEWSPAPER READERSHIPHOBBIESHOLIDAYSINTERNET USEMOBILE PHONESMEMBERSHIPTRADE UNION MEMBERSHIPCLUBSORGANIZATIONSMEETINGSBANKSHEALTH SERVICESSHOPSLOCUS OF CONTROLPERSONAL EFFICACYSPOUSESINTERPERSONAL RELATIONSPERSONAL CONTACTFRIENDSCOMMUNITIESPUBLIC SERVICESWEALTHCLINICAL TESTS AND MEASUREMENTSANTHROPOMETRIC DATABODY CIRCUMFERENCE MEASUREMENTSHEIGHT (PHYSIOLOGY)WEIGHT (PHYSIOLOGY)SELF-ESTEEMPERSONAL IDENTITYINDIVIDUAL DEVELOPMENTSOCIAL INTEGRATIONLONELINESSSOCIAL LIFELIFE HISTORIESLIFE EVENTSPARTNERSHIP HISTORY (PERSONAL)MEDICAL HISTORYEVACUEESHOMELESSNESSTUBERCULOSISLIVING ABROADMILITARY SERVICEPENSIONS Elderly Abstract copyright UK Data Service and data collection copyright owner. The English Longitudinal Study of Ageing (ELSA) is a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. The main objectives of ELSA are to: <ul> <li>construct waves of accessible and well-documented panel data; </li><li>provide these data in a convenient and timely fashion to the scientific and policy research community; </li><li>describe health trajectories, disability and healthy life expectancy in a representative sample of the English population aged 50 and over; </li><li>examine the relationship between economic position and health; </li><li>investigate the determinants of economic position in older age; </li><li>describe the timing of retirement and post-retirement labour market activity; and </li><li>understand the relationships between social support, household structure and the transfer of assets. </li></ul> Further information may be found on the <a href="https://www.elsa-project.ac.uk/"> ELSA project</a> website, the or <a href="https://natcen.ac.uk/participant-contents/elsa-50-health-and-life">Natcen Social Research: ELSA</a> web pages. Wave 11 data has been deposited - May 2025 For the 45th edition (May 2025) ELSA Wave 11 core and pension grid data and documentation were deposited. Users should note this dataset version does not contain the survey weights. A version with the survey weights along with IFS and financial derived datasets will be deposited in due course. In the meantime, more information about the data collection or the data collected during this wave of ELSA can be found in the Wave 11 Technical Report or the User Guide. Wave 10 Accelerometry data has been deposited - August 2025 For the 46th edition (August 2025) ELSA Wave 10 Accelerometry data and documentation, along with a new version of the Wave 10 Technical Report, have been deposited. Between June 2021 and October 2022, approximately 75% of ELSA households (including core members and partners) were randomly selected and invited to wear an Axivity AX3 tri-axial accelerometer for eight days and nights. Accelerometer has been used to objectively measure movement behaviours for the first time in ELSA. Four datasets including data collected by accelerometers were deposited. Datasets include: output from the Biobank accelerometer analysis (bbaa), and 24 hour movement behaviours; the step count data; overnight sleep and sleep stage data. Wave 10 HCAP2 End of Life data has been deposited - September 2025: For the 47th edition (September 2025), the HCAP2 (Wave 10) End of Life interview data and questionnaire documentation were deposited. The End of Life interview completes the information collected at previous waves of ELSA by interviewing a close friend or relative of the deceased ELSA sample member after their death. Previous End of Life interviews were carried out alongside Waves 2, 3, 4, and 6 of ELSA. The fieldwork for HCAP2 (Wave 10) End of Life took place between 2022-2024. For more information please refer to the questionnaire documentation. The End of Life User Guide will be updated at a later date.  Health conditions research with ELSA - June 2021 The ELSA Data team have found some issues with historical data measuring health conditions. If you are intending to do any analysis looking at the following health conditions, then please  read the ELSA User Guide or if you still have questions contact <a href="mailto:elsadata@natcen.ac.uk">elsadata@natcen.ac.uk</a> for advice on how you should approach your analysis. The affected conditions are: eye conditions (glaucoma; diabetic eye disease; macular degeneration; cataract), CVD conditions (high blood pressure; angina; heart attack; Congestive Heart Failure; heart murmur; abnormal heart rhythm; diabetes; stroke; high cholesterol; other heart trouble) and chronic health conditions (chronic lung disease; asthma; arthritis; osteoporosis; cancer; Parkinson's Disease; emotional, nervous or psychiatric problems; Alzheimer's Disease; dementia; malignant blood disorder; multiple sclerosis or motor neurone disease). For information on obtaining data from ELSA that are not held at the UKDS, see the ELSA <a href="https://www.elsa-project.ac.uk/genetic-data-access">Genetic data access</a> and <a href="https://www.elsa-project.ac.uk/accessing-elsa-data">Accessing ELSA data</a> webpages. Harmonized datasets: Users of the Harmonized dataset who prefer to use the Stata version will need access to Stata MP software, as the version G3 file contains 11,779 variables (the limit for the standard Stata 'Intercooled' version is 2,047). December 2025 update to harmonized datasets: Version H (2002-2023) of the Gateway Harmonized ELSA incorporates the latest released version of ELSA data, which includes eleven main modules and associated datasets. Variables and observations from Wave 10 have been added. The file contains 21,679 observations. New variables have been added, and adjustments and corrections made. For a full list of these please see the accompanying Gateway Harmonized ELSA Documentation (pp.4-7). Version A.3 of the Gateway Harmonized ELSA End of Life and the accompanying Gateway Harmonized ELSA End of Life Documentation will be deposited in due course. ELSA COVID-19 study: A separate ad-hoc study conducted with ELSA respondents, measuring the socio-economic effects/psychological impact of the lockdown on the aged 50+ population of England, is also available under SN 8688, <a href="https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8688">English Longitudinal Study of Ageing COVID-19 Study</a>. Main Topics: For a full table of topics and questions covered across all the ELSA waves, see the all waves user guide in the documentation. Standard Measures used in ELSA: <ul> <li>Rose Angina Questionnaire: Rose, G. and Blackburn, H. (1986) Cardiovascular survey methods, World Health Organization Monograph</li><li>Edinburgh Claudication Questionnaire: Leng, G. and Fowkes, F. (1992) 'The Edinburgh Claudication Questionnaire: an improved version of the WHO/Rose Questionnaire for use in epidemiological surveys', Journal of Clinical Epidemiology, 45, pp.1101-1109</li><li>MRC Respiratory Questionnaire: Fletcher, C. et al. (1978) The natural history of chronic bronchitis and emphysema, Oxford: Oxford University Press</li><li>CES-D Depression Scale (8-item): Rasloff, L.S. (1977) 'The CES-D Scale: a self-report depression scale for research in the general population', Applied Psychological Measurement, 1(3), pp.270-278</li><li>General Health Questionnaire (12-item): Goldberg, D.P. Manual of the General Health Questionnaire, Windsor: NFER-Nelson, 1978</li><li>CASP-19: Hyde, M. et al. (2003) 'A measure of quality of life in early old age: the theory, development and properties of a needs satisfaction model [CASP-19]', Ageing and Mental Health, 7, pp.186-194</li><li>Ryff Scale of Psychological Wellbeing: Ryff, C.D. (1989) 'Happiness is everything, or is it? Explorations on the meaning of psychological wellbeing', Journal of Personality and Social Psychology, 57, pp.1069-1081, and Ryff, C.D. and Keyes, C.L. (1995) 'The structure of psychological wellbeing revisited', Journal of Personality and Social Psychology, 69(4), pp.719-727</li></ul> 1998 - 202401 January 199829 September 2024 England IndividualsNational The sample up to Wave 10 was drawn from households that had previously responded to the Health Survey for England (HSE) between 1998 and 2011. The new sample for Wave 11 was drawn from households that previously responded to the Family Resources Survey (FRS) during 2021-22 and agreed to be contacted about future research. The sample has been refreshed at several subsequent waves so not all respondents have participated since 2002. Numeric Multi-stage stratified random sample Face-to-face interview: Paper-and-pencil (PAPI)Face-to-face interview: Computer-assisted (CAPI/CAMI)Telephone interview: Computer-assisted (CATI) The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use of the data requires approval from the data owner or their nominee. The UK Data Service will contact you.Additional conditions of use apply:Confidentiality<ul><li>I agree not to link nor attempt to link the ELSA Wave 0 data to the Health Survey for England (HSE) data</li><li>I agree not to use the Wave 0 data in any way to identify participants from ELSA or HSE</li><li>I agree not to use nor attempt to use ELSA data to identify specific geography from which the study sample was selected, nor to claim to have done so</li></ul> See <restrctn> https://www.elsa-project.ac.uk/ https://natcen.ac.uk/participant-contents/elsa-50-health-and-life https://www.elsa-project.ac.uk/training-resources https://www.ukdataservice.ac.uk/bounce?type=case-study&id=16 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=11 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=89 Kosciuszko, M., Steptoe, A. and Ajnakina, O. (2023) 'Genetic propensity, socioeconomic status, and trajectories of depression over a course of 14 years in older adults', Transl Psychiatry, 13, 68. doi:10.1038/s41398-023-02367-9 https://doi.org/10.1038/s41398-023-02367-9 Western, M.J. and Malkowski, O.S. (2022) 'Associations of the Short Physical Performance Battery (SPPB) with adverse health outcomes in older adults', International Journal of Environmental Research and Public Health, 19(23):16319. doi: 10.3390/ijerph192316319 https://doi.org/10.3390/ijerph192316319 Malkowski, O.S., Kanabar, R. and Western, M.J. (2022) 'Socio-economic status and trajectories of a novel multidimensional metric of active and healthy ageing: the English Longitudinal Study of Ageing', Sci Rep 13, 6107. doi: 10.1038/s41598-023-33371-0 https://doi.org/10.1038/s41598-023-33371-0 Malkowski, O.S., Townsend, N.P., Kelson, M.J., et al. (2023) 'Socioeconomic inequalities in physical activity among older adults before and during the COVID-19 pandemic: evidence from the English Longitudinal Study of Ageing', BMJ Public Health 2023;1:e000100. doi:10.1136/bmjph-2023-000100 https://doi.org/10.1136/bmjph-2023-000100 Sanchez Santos M.T., Williamson, E. and Bruce, J., on behalf of the OPAL study team, et al. (2020) 'Cohort profile: Oxford Pain, Activity and Lifestyle (OPAL) Study, a prospective cohort study of older adults in England', BMJ Open 2020;10:e037516. doi:10.1136/bmjopen-2020-037516 https://doi.org/10.1136/bmjopen-2020-037516 ILC (2023) 'One hundred not out: a route map for long lives', International Longevity Centre, 7 December. https://ilcuk.org.uk/wp-content/uploads/2024/01/One-hundred-not-out-report-final.pdf Suhag, A., Webb, T. L. and Holmes, J. (2024) 'Longitudinal clustering of health behaviours and their association with multimorbidity in older adults in England: a latent class analysis',. Plos one, 19(1), e0297422. doi:10.1371/journal.pone.0297422 https://doi.org/10.1371/journal.pone.0297422 Kontari, P., Fife-Schaw, C. and Smith K. (2023) 'Clustering of cardiometabolic risk factors and dementia incidence in older adults: a cross-country comparison in England, the United States, and China', J Gerontol A Biol Sci Med Sci, Jun 1;78(6), pp.1035-1044. doi:10.1093/gerona/glac240 https://doi.org/10.1093/gerona/glac240 Geraets, A.F.J. and Leist, A.K. (2023) 'Sex/gender and socioeconomic differences in modifiable risk factors for dementia', Sci Rep 13, 80. doi:10.1038/s41598-022-27368-4 https://doi.org/10.1038/s41598-022-27368-4 Cartagena-Farias, J., Brimblecombe, N., and Knapp, M. (2024) Evaluating the association between receipt of a winter fuel cash transfer and older people’s care needs, quality of life, and housing quality: Evidence from England. Social Science & Medicine. 355, 117128. doi:10.1016/j.socscimed.2024 https://doi.org/10.1016/j.socscimed.2024.117128 Bo, H., Cartagena-Farias, J., Brimblecombe, N., Wittenberg, R., and Jadoolal, S. (2023) Projected costs of informal long-term care for older people in England. Eur J Health Econ (2023). doi:10.1007/s10198-023-01643-1 https://doi.org/10.1007/s10198-023-01643-1 Cartagena-Farias, J., Brimblecombe, N., and Hu, B. (2023) Early onset of care needs in the older population: The protective role of housing conditions. Health & Place. 81, 103007. doi:10.1016/j.healthplace.2023.103007 https://doi.org/10.1016/j.healthplace.2023.103007 Chatterjee, K., Clark, B., Nguyen, A., Wishart, R., Gallop, K., Smith, N. and Tipping, S. (2019) 'Access to transport and life opportunities', Project report for Department for Transport. https://www.gov.uk/government/publications/access-to-transport-and-life-opportunities Kusama, T., Komiyama, T., Takeuchi, K., Sabbah, W., Osaka, K. and Gallagher, JE. (2025) ‘Bidirectional longitudinal associations between subjective oral health and subjective well-being’, Archives of Gerontology and Geriatrics, 131:105740. https://doi.org/10.1016/j.archger.2024.105740 Peycheva, D; Wielgoszewska, B; Zaninotto, P; Steptoe, A; Hardy, R. The associations of early and surgical menopause with 10-year employment trajectories bracketing final menstruation or surgery. Menopause ():10.1097/GME.0000000000002640, October 7, 2025. doi:10.1097/GME.0000000000002640 https://doi.org/10.1097/GME.0000000000002640 Arabadzhyan, A., Jacob, N., Kasteridis, P., Mason, A., Rice, N. (2025). COVID-19 and domiciliary care utilisation: Evidence from the English Longitudinal Study of Ageing. Journal of the economics of ageing, 31, 100552. doi:10.1016/j.jeoa.2025.100552 https://doi.org/10.1016/j.jeoa.2025.100552 Manca, R., Flatt, J. D., & Venneri, A. (2025). Differential Impact of Risk Factors for Cognitive Decline in Heterosexual and Sexual Minority Older Adults in England. Brain Sciences, 15(1), 90. doi:10.3390/brainsci15010090 https://doi.org/10.3390/brainsci15010090 Manca, R., & Venneri, A. (2023). Minority stress and psychosocial influences on cognitive performance in sexual minority older adults. Innovation in Aging, 7(8), igad110. doi:10.1093/geroni/igad110 https://doi.org/10.1093/geroni/igad110 Rosenau C, Köhler S, van Boxtel M, Tange H, Deckers K. Validation of the Updated “LIfestyle for BRAin health” (LIBRA) Index in the English Longitudinal Study of Ageing and Maastricht Aging Study. Journal of Alzheimer’s Disease. 2024;101(4):1237-1248. doi:10.3233/JAD-240666 https://doi.org/10.3233/JAD-240666 Kyaw, K. (2020) 'Association of long-term care utilization and functional ability in older adults', European Journal of Public Health, 30, Issue Supplement 5, ckaa165.552, doi:10.1093/eurpub/ckaa165.552 https://doi.org/10.1093/eurpub/ckaa165.552 Kyaw, K. (2020) 'Association of diverse musical experiences and well-being', European Journal of Public Health, Volume 30, Issue Supplement_5, ckaa166.1164. doi:10.1093/eurpub/ckaa166.1164 https://doi.org/10.1093/eurpub/ckaa166.1164 Ghosh, G., Khan, H.T.A. and Vohra, S. (2022) 'Differentials in health and wellbeing in older adults with obesity in England: a cross-sectional analysis using the English Longitudinal Study of Ageing', Population Ageing. doi:10.1007/s12062-022-09386-2 https://doi.org/10.1007/s12062-022-09386-2 Chl, M. and Nestler S. (2022) 'Long-term changes in depressive symptoms before and after stroke', Neurology. doi: 10.1212/WNL.0000000000200756 https://pubmed.ncbi.nlm.nih.gov/35831179/ Chl, M., Schaare, H.L., Kunzmann, U. and Nestler S. (2022) 'The age-dependent association between vascular risk factors and depressed mood, J Gerontol B Psychol Sci Soc Sci, 77(2). doi: 10.1093/geronb/gbab063 https://pubmed.ncbi.nlm.nih.gov/34080633/ Li C, Ma Y., Hua, R., Zheng, F. and Xie, W. (2021) 'Long-term physical activity participation and subsequent incident Type 2 Diabetes Mellitus: a population-based cohort study', Front. Endocrinol. 12:769.549. doi:10.3389/fendo.2021.769549 https://doi.org/10.3389/fendo.2021.769549 C. Ribeiro and A.A. Freitas (2021) 'A data-driven missing value imputation approach for longitudinal datasets', AI Review, 54(8), 6277-6307. doi: https://doi.org/10.1007/s10462-021-09963-5 https://doi.org/10.1007/s10462-021-09963-5 C. Ribeiro and A.A. Freitas (2020) 'A new random forest method for longitudinal data classification using a lexicographic bi-objective approach', Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), 806-813. doi:10.1109/SSCI47803.2020.9308198 https://doi.org/10.1109/SSCI47803.2020.9308198 C. Ribeiro and A.A. Freitas (2021) 'Constructed temporal features for longitudinal classification of human ageing data', Proceedings of the 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 106-112. doi:10.1109/ICHI52183.2021.00027 https://doi.org/10.1109/ICHI52183.2021.00027 Quashie, N. T., Wagner, M., Verbakel, E.,and Deindl, C. (2021) 'Socioeconomic differences in informal caregiving in Europe', European Journal of Ageing. doi:10.1007/s10433-021-00666-y https://doi.org/10.1007/s10433-021-00666-y Witkam, R., Gwinnutt, J. M., Selby, D. A., Cooper, R., Humphreys, J. H. Verstappen, S. M. (2022) 'Does body mass index mediate the relationship between socioeconomic position and incident osteoarthritis?', Seminars in arthritis and rheumatism, 56, p.152063. doi:10.1016/j.semarthrit.2022. https://doi.org/10.1016/j.semarthrit.2022.152063 Witkam, R., et al. (2022) 'The association between lower socioeconomic position and functional limitations is partially mediated by obesity in older adults with symptomatic knee osteoarthritis: findings from the English Longitudinal Study of Ageing', Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1053304 Niederstrasser, N.G. and Attridge, N. (2022) 'Associations between pain and physical activity among older adults', Plos one, 17(1), e0263356. doi:10.1371/journal.pone.0263356 https://doi.org/10.1371/journal.pone.0263356 Fancourt, D. and Steptoe, A. (2019) 'The art of life and death: 14 year follow-up analyses of associations between arts engagement and mortality in the English Longitudinal Study of Ageing' https://doi.org/10.1136/bmj.l6377 Bloomberg, M., Brocklebank, L., Hamer, M., Steptoe, A. (2023) 'Joint associations of physical activity and sleep duration with cognitive ageing: longitudinal analysis of an English cohort study' https://doi.org/10.1016/S2666-7568(23)00083-1 Tian, Z. and Qiu, P. (2023) 'Multivariate single index modeling of longitudinal data with multiple responses', Statistics in Medicine, 42, 2982-2998. https://onlinelibrary.wiley.com/doi/10.1002/sim.9763 De Paula, A. and Honore, B. (2014) 'Joint retirement in Europe', Netspar Discussion Paper 10/2014-052 https://www.netspar.nl/en/publication/joint-retirement-in-europe/ Eibich, P. (2023) 'Instrumental variable estimates of the burden of parental caregiving', The Journal of the Economics of Ageing, 26,100467. doi:10.1016/j.jeoa.2023.100467 https://doi.org/10.1016/j.jeoa.2023.100467 Zaninotto, P., Iob, E., Di Gessa, G. and Steptoe, A. (2025) 'Recovery of psychological wellbeing following the COVID-19 pandemic: a longitudinal analysis of the English Longitudinal Study of Ageing', Aging Ment. Health, 29(4) pp.651-659. doi:10.1080/13607863.2025.2450260 https://doi.org/10.1080/13607863.2025.2450260 Bloomberg, M., Bu, F., Fancourt, D., Steptoe, A. (2025) 'Trajectories of loneliness, social isolation, and depressive symptoms before and after onset of pain in middle-aged and older adults' 10.1016/j.eclinm.2025.103209 https://oai.ukdataservice.ac.uk:8443/oai/provider 5050 2025-12-23T06:27:29Z ddi:codebook:2_5