"Age Factors" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time.
| Descriptor ID |
D000367
|
| MeSH Number(s) |
N05.715.350.075 N06.850.490.250
|
| Concept/Terms |
Age Factors- Age Factors
- Age Factor
- Factor, Age
- Factors, Age
|
Below are MeSH descriptors whose meaning is more general than "Age Factors".
Below are MeSH descriptors whose meaning is more specific than "Age Factors".
This graph shows the total number of publications written about "Age Factors" by people in this website by year, and whether "Age Factors" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 0 | 19 | 19 |
| 1997 | 0 | 20 | 20 |
| 1998 | 0 | 22 | 22 |
| 1999 | 0 | 15 | 15 |
| 2000 | 0 | 29 | 29 |
| 2001 | 0 | 16 | 16 |
| 2002 | 0 | 26 | 26 |
| 2003 | 0 | 26 | 26 |
| 2004 | 0 | 31 | 31 |
| 2005 | 0 | 44 | 44 |
| 2006 | 0 | 34 | 34 |
| 2007 | 1 | 43 | 44 |
| 2008 | 3 | 58 | 61 |
| 2009 | 2 | 47 | 49 |
| 2010 | 1 | 61 | 62 |
| 2011 | 0 | 62 | 62 |
| 2012 | 0 | 68 | 68 |
| 2013 | 0 | 61 | 61 |
| 2014 | 0 | 86 | 86 |
| 2015 | 1 | 81 | 82 |
| 2016 | 2 | 77 | 79 |
| 2017 | 1 | 71 | 72 |
| 2018 | 1 | 84 | 85 |
| 2019 | 1 | 66 | 67 |
| 2020 | 0 | 72 | 72 |
| 2021 | 0 | 43 | 43 |
| 2022 | 0 | 7 | 7 |
| 2023 | 1 | 3 | 4 |
| 2024 | 0 | 33 | 33 |
| 2025 | 0 | 31 | 31 |
| 2026 | 0 | 17 | 17 |
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Below are the most recent publications written about "Age Factors" by people in Profiles.
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Risk profile and prognostic implications of premature advanced coronary atherosclerotic disease among young to early middle-aged adults: the coronary artery calcium consortium. Eur J Prev Cardiol. 2026 Jul 14; 33(9):1621-1628.
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Epigenetic-Based Evidence for Distinct Effects of Age, Sex, and Experience in Developmental Critical Period Learning. Dev Neurobiol. 2026 Jul; 86(3):e70039.
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Accuracy of the FIB-4 and LiverRisk score for use in primary risk assessment for liver fibrosis, and variation by age. Dig Liver Dis. 2026 07; 58(7):935-942.
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Data-driven personalized surgical treatment selection for metopic and sagittal craniosynostosis. J Neurosurg Pediatr. 2026 May 29; 38(2):195-204.
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Possible Diagnostic Error in Cervical Artery Dissection: Analysis of STOP-CAD Study. J Am Heart Assoc. 2026 05 19; 15(10):e046408.
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Real-world genetic testing data of ovarian cancer patients: Informing counseling and risk reduction in patients over age seventy. Gynecol Oncol. 2026 06; 209:77-87.
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Age-related differences in surgical outcomes for traumatic central cord syndrome: a multi-institutional causal machine learning analysis. J Neurosurg Spine. 2026 May 08; 45(2):267-276.
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Does surgical treatment of grade 2 spondylolisthesis have sustained improvement in postoperative outcomes regardless of age? A Spine CORe™ analysis of QOD data. Neurosurg Focus. 2026 05 01; 60(5):E15.
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Haploidentical versus matched unrelated donor transplantation with post-transplant cyclophosphamide: a platform-dependent machine learning analysis of donor age. Leukemia. 2026 May; 40(5):1009-1017.
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Age, stress, and markers of inflammation among middle-aged to older African American adults: Findings from The Heart of Detroit Study. Brain Behav Immun. 2026 Aug; 136:106559.