The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Intelligence and socioeconomic position in childhood in relation to frailty and cumulative allostatic load in later life: the Lothian Birth Cohort 1936
Abstract
Background: Information on childhood determinants of frailty or allostatic load in later life is sparse. We investigated whether lower intelligence and greater socioeconomic disadvantage in childhood increased the risk of frailty and higher allostatic load, and explored the mediating roles of adult socioeconomic position, educational attainment and health behaviours. Methods: Participants were 876 members of the Lothian Birth Cohort 1936 whose intelligence was assessed at age 11. At age 70, frailty was assessed using the Fried criteria. Measurements were made of fibrinogen, triglyceride, total and high-density lipoprotein cholesterol, albumin, glycated haemoglobin, C reactive protein, body mass index and blood pressure, from which an allostatic load score was calculated. Results: In sex-adjusted analyses, lower intelligence and lower social class in childhood were associated with an increased risk of frailty: relative risks (95% CIs) were 1.57 (1.21 to 2.03) for a SD decrease in intelligence and 1.48 (1.12 to 1.96) for a category decrease in social class. In the fully adjusted model, both associations ceased to be significant: relative risks were 1.13 (0.83 to 1.54) and 1.19 (0.86 to 1.61), respectively. Educational attainment had a significant mediating effect. Lower childhood intelligence in childhood, but not social class, was associated with higher allostatic load. The sex-adjusted coefficient for allostatic load for a SD decrease in intelligence was 0.10 (0.07 to 0.14). In the fully adjusted model, this association was attenuated but remained significant (0.05 (0.01 to 0.09)). Conclusions: Further research will need to investigate the mechanisms whereby lower childhood intelligence is linked to higher allostatic load in later life.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Educational attainment, an indicator of SES, also is significantly inversely related to allostatic load”
From Allostatic load and biological anthropology (2017) · cites this paper as Gale et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
McEwen, B. S., & Gianaros, P. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05331.x · Cited by 1,715
Allostatic load as a marker of cumulative biological risk: MacArthur studies of successful aging
Seeman, T. E., McEwen, B. S., Rowe, J. W., & Singer, B. H. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.081072698 · Cited by 1,385
Socio‐economic differentials in peripheral biology: Cumulative allostatic load
Seeman, T., Epel, E., Gruenewald, T., Karlamangla, A., & McEwen, B. S. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05341.x · Cited by 579
Intelligence in youth and health at age 50
Wraw, C., Deary, I. J., Gale, C. R., & Der, G. (2015) · Intelligence · doi:10.1016/j.intell.2015.08.001 · Cited by 127
Self-citationAssociation of allostatic load with brain structure and cognitive ability in later life
Booth, T., Royle, N. A., Corley, J., Gow, A. J., Valdés Hernández, M. D. C., Muñoz Maniega, S., Ritchie, S. J., Bastin, M. E., Starr, J. M., Wardlaw, J. M., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.020 · Cited by 88
Self-citation
Research works printed but not linked: 39
- 10.1093/gerona/56.3.M146 · DOI · Paper page
- 10.1016/S0140-6736(12)62167-9 · DOI · Paper page
- 10.1111/j.1532-5415.2006.00745.x · DOI · Paper page
- 10.1093/gerona/63.12.1399 · DOI
- 10.1016/j.annepidem.2015.05.006 · DOI
- 10.1093/ije/dyq190 · DOI
- 10.1016/j.annepidem.2006.07.010 · DOI
- 10.1159/000341157 · DOI
- 10.1007/s12603-009-0085-y · DOI
- 10.1093/gerona/glt052 · DOI
- 10.1111/j.1532-5415.2009.02480.x · DOI
- 10.1136/jech-2011-200027 · DOI
- 10.1136/jech.2006.054494 · DOI · Paper page
- 10.1016/j.intell.2006.02.001 · DOI · Paper page
- 10.1093/aje/kwt135 · DOI
- 10.1016/j.intell.2005.06.003 · DOI
- 10.1111/j.1469-7610.1996.tb01405.x · DOI
- 10.1037/a0038973 · DOI
- 10.1016/j.neubiorev.2009.10.002 · DOI · Paper page
- Sterling P , Eyer J . Biological bases of stress-related mortality. In: Fisher S , Reason J , eds. Handbook of life stress, cognition and health. New York: Wiley, 1981:629–49.
- 10.1111/j.1749-6632.1999.tb08103.x · DOI · Paper page
- 10.1111/j.1532-5415.2009.02389.x · DOI
- 10.1177/0956797612441218 · DOI · Paper page
- 10.1186/1471-2458-14-184 · DOI
- 10.1097/00004872-200405000-00009 · DOI
- 10.1136/jech.2010.109835 · DOI
- 10.1037/a0023940 · DOI
- 10.1016/j.intell.2008.10.001 · DOI
- 10.1093/gerona/glt029 · DOI
- 10.1093/ije/dyr197 · DOI
- 10.1111/j.1600-0447.1983.tb09716.x · DOI · Paper page
- 10.1073/pnas.1315458110 · DOI · Paper page
- 10.1016/j.physbeh.2011.08.019 · DOI · Paper page
- 10.1016/j.amjcard.2009.01.375 · DOI · Paper page
- 10.1016/j.intell.2014.02.006 · DOI
- 10.1007/s10519-012-9549-7 · DOI
- Schaefer JD , Caspi A , Belsky DW , et al . Early-life intelligence predicts midlife biological age. J Gerontol B Psychol Sci Soc Sci 2015. doi:10.1093/geronb/gbv035 · DOI
- 10.1177/1099800408323452 · DOI
- 10.1016/S0893-133X(99)00129-3 · DOI · Paper page
Cited by
Sorted by citations
Allostatic load and its impact on health: A systematic review
Guidi, J., Lucente, M., Sonino, N., & Fava, G. A. (2021) · Psychotherapy and Psychosomatics · doi:10.1159/000510696 · Cited by 1,266
An epigenetic predictor of death captures multi-modal measures of brain health
Hillary, R. F., Stevenson, A. J., Cox, S. R., McCartney, D. L., Harris, S. E., Seeboth, A., Higham, J., Sproul, D., Taylor, A. M., Redmond, P., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-019-0616-9 · Cited by 139
Self-citationAllostatic load and biological anthropology
Edes, A. N., & Crews, D. E. (2017) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23146 · Cited by 130
Metadata
- Authors
- Gale, C. R., Booth, T., Starr, J. M., & Deary, I. J.
- Affiliations
- Department of Psychology, Centre for Cognitive Ageing & Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 2015-12-23
- Volume
- 70
- Issue
- 6
- Pages
- 576-582
- ISSN
- 0143-005X
- 1470-2738
- PMC
- PMC4820036
- Cited by
- 64
- References
- 5
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review