Submitted:
21 January 2023
Posted:
22 January 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Conclusion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: An expanding universe. Cell. 2022 Dec 26:S0092-8674(22)01377-0. [CrossRef]
- Gruber HJ, Semeraro MD, Renner W, Herrmann M. Telomeres and Age-Related Diseases. Biomedicines. 2021 Sep 27;9(10):1335. [CrossRef]
- Kirk B, Al Saedi A, Duque G. Osteosarcopenia: A case of geroscience. Aging Med (Milton). 2019 Sep 8;2(3):147-156. [CrossRef]
- Lorenzi M, Bonassi S, Lorenzi T, Giovannini S, Bernabei R, Onder G. A review of telomere length in sarcopenia and frailty. Biogerontology. 2018 Jul;19(3-4):209-221. [CrossRef]
- Umar M, Sastry KS, Chouchane AI. Role of Vitamin D Beyond the Skeletal Function: A Review of the Molecular and Clinical Studies. Int J Mol Sci. 2018 May 30;19(6):1618. [CrossRef]
- Berridge MJ. Vitamin D deficiency accelerates ageing and age-related diseases: A novel hypothesis. J Physiol. 2017 Nov 15;595(22):6825-6836. [CrossRef]
- Zarei M, Zarezadeh M, Hamedi Kalajahi F, Javanbakht MH. The Relationship Between Vitamin D and Telomere/Telomerase: A Comprehensive Review. J Frailty Aging. 2021;10(1):2-9. [CrossRef]
- Mazidi M, Mikhailidis DP, Banach M, Dehghan A. Impact of serum 25-hydroxyvitamin D 25(OH) on telomere attrition: A Mendelian Randomization study. Clin Nutr. 2020 Sep;39(9):2730-2733. [CrossRef]
- Beilfuss J, Camargo CA Jr, Kamycheva E. Serum 25-Hydroxyvitamin D Has a Modest Positive Association with Leukocyte Telomere Length in Middle-Aged US Adults. J Nutr. 2017 Apr;147(4):514-520. [CrossRef]
- Liu JJ, Cahoon EK, Linet MS, Little MP, Dagnall CL, Higson H, Savage SA, Freedman DM. Relationship between plasma 25-hydroxyvitamin D and leucocyte telomere length by sex and race in a US study. Br J Nutr. 2016 Sep;116(6):953-60. [CrossRef]
- Grant WB, Karras SN, Bischoff-Ferrari HA, Annweiler C, Boucher BJ, Juzeniene A, Garland CF, Holick MF. Do studies reporting ‘U’-shaped serum 25-hydroxyvitamin D-health outcome relationships reflect adverse effects? Dermatoendocrinol. 2016;8(1):e1187349. [CrossRef]
- Davis CD. Vitamin D and health: Can too much be harmful? Am J Lifestyle Med. 2009;3(5):407–408. [CrossRef]
- Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, Liu B, Matthews P, Ong G, Pell J, Silman A, Young A, Sprosen T, Peakman T, Collins R. UK biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015 Mar 31;12(3):e1001779. [CrossRef]
- Elliott P, Peakman TC, Biobank UK, UK Biobank . The UK Biobank sample handling and storage protocol for the collection, processing and archiving of human blood and urine. Int J Epidemiol 2008;37:234–44. [CrossRef]
- CDC CDC vitamin D Standardization-Certification program (CDC VDSCP) 2020.
- UK Biobank Biomarker assay quality procedures: Approaches used to minimise systematic and random errors. 1.2 ed, 2019.
- UK Biobank Companion document for serum biomarker data. 1 ed, 2019.
- Cassidy S, Chau JY, Catt M, Bauman A, Trenell MI. Cross-sectional study of diet, physical activity, television viewing and sleep duration in 233,110 adults from the UK Biobank; the behavioural phenotype of cardiovascular disease and type 2 diabetes. BMJ Open. 2016 Mar 15;6(3):e010038. [CrossRef]
- Bruyère O, Cavalier E, Reginster JY. Vitamin D and osteosarcopenia: An update from epidemiological studies. Curr Opin Clin Nutr Metab Care. 2017 Nov;20(6):498-503. [CrossRef]
- Charoenngam N. Vitamin D and Rheumatic Diseases: A Review of Clinical Evidence. Int J Mol Sci. 2021 Oct 1;22(19):10659. [CrossRef]
- Giudici KV. Nutrition and the Hallmarks of Aging. J Nutr Health Aging 25, 1039–1041 (2021). [CrossRef]
- Yang T, Wang H, Xiong Y, Chen C, Duan K, Jia J, Ma F. Vitamin D Supplementation Improves Cognitive Function Through Reducing Oxidative Stress Regulated by Telomere Length in Older Adults with Mild Cognitive Impairment: A 12-Month Randomized Controlled Trial. J Alzheimers Dis. 2020;78(4):1509-1518. [CrossRef]
- Agirbasli D, Kalyoncu M, Muftuoglu M, Aksungar FB, Agirbasli M. Leukocyte telomere length as a compensatory mechanism in vitamin D metabolism. PLoS One. 2022 Feb 24;17(2):e0264337. [CrossRef]
- Sanders KM, Stuart AL, Williamson EJ, Simpson JA, Kotowicz MA, Young D, Nicholson GC. Annual high-dose oral vitamin D and falls and fractures in older women: A randomized controlled trial. JAMA. 2010 May 12;303(18):1815-22. [CrossRef]
- Kojima G, Iliffe S, Tanabe M. Vitamin D supplementation as a potential cause of U-shaped associations between vitamin D levels and negative health outcomes: A decision tree analysis for risk of frailty. BMC Geriatr. 2017 Oct 16;17(1):236. [CrossRef]
- Sanders KM, Nicholson GC, Ebeling PR. Is high dose vitamin D harmful? Calcif Tissue Int. 2013 Feb;92(2):191-206. [CrossRef]
- Wong SK, Ima-Nirwana S, Chin KY. Can telomere length predict bone health? A review of current evidence. Bosn J Basic Med Sci. 2020 Nov 2;20(4):423-429. [CrossRef]
- Rippberger PL, Emeny RT, Mackenzie TA, Bartels SJ, Batsis JA. The association of sarcopenia, telomere length, and mortality: Data from the NHANES 1999-2002. Eur J Clin Nutr. 2018 Feb;72(2):255-263. [CrossRef]
- Tobias DK, Luttmann-Gibson H, Mora S, Danik J, Bubes V, Copeland T, LeBoff MS, Cook NR, Lee IM, Buring JE, Manson JE. Association of Body Weight With Response to Vitamin D Supplementation and Metabolism. JAMA Netw Open. 2023 Jan 3;6(1):e2250681.
- Staley JR, Burgess S. Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization. Genet Epidemiol. 2017 May;41(4):341-352. [CrossRef]


| Variable | UK Biobank Data Field |
|---|---|
| Leukocyte telomere length (T/S ratio), adjusted for the influence of technical parameters | 22191 |
| 25OHD (nmol/L) | 30890 |
| Calcium (mmol/L) | 30680 |
| Age | 21003 |
| Sex | 31 |
| Ethnicity | 21000 |
| Education | 6138 |
| Townsend deprivation index at recruitment | 189 |
| Whole body fat mass | 23100 |
| Smoking status | 20116 |
| Alcohol intake frequency | 1558 |
| International Physical Activity Questionnaire (IPAQ) activity group | 22032 |
| Variable | Mean ± SD (Min, Max) or Frequency (%) |
|---|---|
| Leukocyte telomere length (T/S ratio), adjusted for the influence of technical parameters | 0.81 ± 0.12; (0.08, 3.72) |
| Calcium (mmol/L) | 2.38 ± 0.09; (1.19, 3.57) |
| Vitamin D (nmol/L) | 51.34 ± 20.65; (10, 276) |
| Extremely low1 | 3,333 (2.2%) |
| Low2 | 20,191 (13.6%) |
| Medium3 (reference) | 101,195 (68.2%) |
| Moderately High4 | 20,215 (13.6%) |
| High5 | 3,387 (2.3%) |
| Age (years) | 64.13 ± 2.85; (60, 70) |
| Sex | |
| Female | 74,549 (50.3%) |
| Male | 73,772 (49.7%) |
| Ethnicity | |
| White | 144,292 (97.3%) |
| Black | 1,048 (0.7%) |
| South Asian | 1,655 (1.1%) |
| Other | 1,326 (0.9%) |
| Townsend deprivation index | -1.62 ± 2.92; (-6.26, 10.59) |
| Education | |
| None | 37,779 (25.5%) |
| CSEs | 2,677 (1.8%) |
| GCSEs/O-levels | 20,977 (14.1%) |
| A-levels/NVQ/HND/HNC | 22,521 (15.2%) |
| Prof. qualification (e.g., nursing, teaching) | 23,632 (15.9%) |
| College or University degree | 40,735 (27.5%) |
| Whole body fat mass (kg) | 24.9 ± 8.84; (5, 108.1) |
| Smoking status | |
| Never | 73,929 (49.8%) |
| Current | 11,739 (7.9%) |
| Previous | 62,653 (42.2%) |
| Alcohol intake frequency | |
| Never | 11,865 (8%) |
| Special occasions only | 16,934 (11.4%) |
| One to three times a month | 14,470 (9.8%) |
| Once or twice a week | 35,499 (23.9%) |
| Three or four times a week | 33,689 (22.7%) |
| Daily or almost daily | 35,864 (24.2%) |
| IPAQ group | |
| Low | 20,213 (13.6%) |
| Moderate | 67,683 (45.6%) |
| High | 60,425 (40.7%) |
| 95% CI | |||||
|---|---|---|---|---|---|
| Model | Beta | Lower | Upper | P-Value | Overall P-Value |
| Unadjusted | |||||
| Vitamin D | 3.24×10-4 | ||||
| Extremely low1 | -0.053 | -0.088 | -0.019 | 0.002 | |
| Low2 | -0.018 | -0.033 | -0.003 | 0.021 | |
| Medium3 (reference) | |||||
| Moderately High4 | -0.003 | -0.018 | 0.012 | 0.663 | |
| High5 | -0.051 | -0.086 | -0.017 | 0.003 | |
| Adjusted | |||||
| Vitamin D | 0.004 | ||||
| Extremely low1 | -0.048 | -0.083 | -0.014 | 0.006 | |
| Low2 | -0.018 | -0.033 | -0.003 | 0.022 | |
| Medium3 (reference) | |||||
| Moderately High4 | -0.002 | -0.017 | 0.013 | 0.778 | |
| High5 | -0.038 | -0.072 | -0.004 | 0.030 | |
| Serum calcium (z score) | -0.0004 | -0.006 | 0.005 | 0.869 | 0.869 |
| Age (years) | -0.030 | -0.032 | -0.028 | 1.44×10-234 | < 2.2×10-16 |
| Sex | < 2.2×10-16 | ||||
| Female | Ref | Ref | Ref | Ref | |
| Male | -0.220 | -0.231 | -0.209 | < 2.2×10-16 | |
| Ethnicity | < 2.2×10-16 | ||||
| White | Ref | Ref | Ref | Ref | |
| Black | 0.363 | 0.302 | 0.424 | 1.23×10-31 | |
| South Asian | -0.010 | -0.059 | 0.039 | 0.695 | |
| Other | 0.182 | 0.129 | 0.236 | 3.01×10-11 | |
| Townsend deprivation index | -0.001 | -0.003 | 0.001 | 0.344 | 0.344 |
| Education | < 2.2×10-16 | ||||
| None | Ref | Ref | Ref | Ref | |
| CSEs | 0.012 | -0.027 | 0.051 | 0.555 | |
| GCSEs/O-levels | 0.035 | 0.018 | 0.052 | 5.02×10-5 | |
| A-levels/NVQ/HND/HNC | 0.032 | 0.015 | 0.048 | 1.80×10-4 | |
| Prof. qualification (e.g., nursing, teaching) | 0.058 | 0.042 | 0.075 | 3.35×10-12 | |
| College or University degree | 0.097 | 0.082 | 0.111 | 6.49×10-39 | |
| Whole body fat mass | -0.026 | -0.032 | -0.021 | 1.65×10-21 | 1.65×10-21 |
| Smoking status | < 2.2×10-16 | ||||
| Never | Ref | Ref | Ref | Ref | |
| Current | -0.095 | -0.115 | -0.075 | 3.32×10-21 | |
| Previous | -0.024 | -0.035 | -0.013 | 1.72×10-5 | |
| Alcohol intake frequency | 0.714 | ||||
| Never | Ref | Ref | Ref | Ref | |
| Special occasions only | 0.002 | -0.021 | 0.025 | 0.856 | |
| One to three times a month | 0.006 | -0.018 | 0.031 | 0.602 | |
| Once or twice a week | 0.000 | -0.021 | 0.021 | 0.982 | |
| Three or four times a week | -0.007 | -0.028 | 0.014 | 0.518 | |
| Daily or almost daily | -0.007 | -0.028 | 0.015 | 0.550 | |
| IPAQ group | 0.010 | ||||
| Low | Ref | Ref | Ref | Ref | |
| Moderate | 0.024 | 0.008 | 0.039 | 0.003 | |
| High | 0.021 | 0.005 | 0.037 | 0.009 | |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).