Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Feb 11:9:e51168.
doi: 10.7554/eLife.51168.

Body height in young adult men and risk of dementia later in adult life

Affiliations

Body height in young adult men and risk of dementia later in adult life

Terese Sara Høj Jørgensen et al. Elife. .

Abstract

This study examined the relationship between body height and dementia and explored the impact of intelligence level, educational attainment, early life environment and familial factors. A total of 666,333 men, 70,608 brothers, and 7388 twin brothers born 1939-1959 and examined at the conscript board were followed in Danish nationwide registers (1969-2016). Cox regression models were applied to analyze the association between body height and dementia. Within-brothers and within-twin pair analyses were conducted to explore the role of shared familial factors including partly shared genetics. In total, 10,599 men were diagnosed with dementia. The association between one z-score difference in body height and dementia (HR: 0.90, 95% CI: 0.89;0.90) was inverse and weakened slightly after adjustment for intelligence test scores and educational level. The associations persisted in within-brother analysis and revealed a stronger, but less precise, point estimate than the cohort analysis of brothers. The twin analysis showed similar, but imprecise estimates.

Keywords: body height; cognitive reserve; cohort study; dementia; epidemiology; global health; human; sibling design.

PubMed Disclaimer

Conflict of interest statement

TJ, GO, KC, TS, MO No competing interests declared

Figures

Figure 1.
Figure 1.. Selection of the study population.
Figure 1—figure supplement 1.
Figure 1—figure supplement 1.. Time line of data collection from each of the registers and the total follow-up time.
Foot note: *Anatomic Therapeutical Chemical (ATC) code for dementia (N06D) is also used for patients with Parkinson’s disease, but the treatment is only indicated if the patients have comorbid dementia. **Dementia was identified by international classification of disease (ICD) version 8 codes (290.00–290.99) until the end of 1994 and by ICD10 codes (F00.0-F03.9; G30.0-G30.9) from 1995 and thereafter.
Figure 2.
Figure 2.. Hazard Ratios (HRs) and corresponding 95% confidence intervals (95% CIs) for the association between z-score of body height at the entry to adulthood as a cubic spline with four knots and dementia.
A z-score of 0 is the reference value. Stratified by birth cohort and adjusted for conscript board district, educational level and intelligence test scores. Age included as underlying scale of the model. The analysis included the total population of men. Identify cohort-specific values of one z-score in Supplementary file 2.
Figure 2—figure supplement 1.
Figure 2—figure supplement 1.. Distribution of mean numeric difference in body height in cm between brothers (A) and twins (B).
Note: to hide micro data, the value 26 includes all values above for brother and the value 17 includes all values above for twins. In cases where there were more than two brothers with a shared mother, the difference in body height between all brothers were included. For example, for a groups of three brothers, the differences between brother one and two, brother one and three, and brother two and three, respectively, were included.

Similar articles

Cited by

  • Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study.
    Labounek R, Bondy MT, Paulson AL, Bédard S, Abramovic M, Alonso-Ortiz E, Atcheson NT, Barlow LR, Barry RL, Barth M, Battiston M, Büchel C, Budde MD, Callot V, Combes A, De Leener B, Descoteaux M, de Sousa PL, Dostál M, Doyon J, Dvorak AV, Eippert F, Epperson KR, Epperson KS, Freund P, Finsterbusch J, Foias A, Fratini M, Fukunaga I, Gandini Wheeler-Kingshott CAM, Germani G, Gilbert G, Giove F, Grussu F, Hagiwara A, Henry PG, Horák T, Hori M, Joers JM, Kamiya K, Karbasforoushan H, Keřkovský M, Khatibi A, Kim JW, Kinany N, Kitzler H, Kolind S, Kong Y, Kudlička P, Kuntke P, Kurniawan ND, Kusmia S, Laganà MM, Laule C, Law CSW, Leutritz T, Liu Y, Llufriu S, Mackey S, Martin AR, Martinez-Heras E, Mattera L, O'Grady KP, Papinutto N, Papp D, Pareto D, Parrish TB, Pichiecchio A, Prados F, Rovira À, Ruitenberg MJ, Samson RS, Savini G, Seif M, Seifert AC, Smith AK, Smith SA, Smith ZA, Solana E, Suzuki Y, Tackley GW, Tinnermann A, Valošek J, Van De Ville D, Yiannakas MC, Weber KA 2nd, Weiskopf N, Wise RG, Wyss PO, Xu J, Cohen-Adad J, Lenglet C, Nestrašil I. Labounek R, et al. bioRxiv [Preprint]. 2024 May 1:2024.04.29.591421. doi: 10.1101/2024.04.29.591421. bioRxiv. 2024. PMID: 38746371 Free PMC article. Preprint.
  • Proxy-analysis of the genetics of cognitive decline in Parkinson's disease through polygenic scores.
    Faouzi J, Tan M, Casse F, Lesage S, Tesson C, Brice A, Mangone G, Mariani LL, Iwaki H, Colliot O, Pihlstrøm L, Corvol JC. Faouzi J, et al. NPJ Parkinsons Dis. 2024 Jan 4;10(1):8. doi: 10.1038/s41531-023-00619-5. NPJ Parkinsons Dis. 2024. PMID: 38177146 Free PMC article.
  • Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data.
    Lin Z, Xue H, Pan W. Lin Z, et al. PLoS Genet. 2023 May 18;19(5):e1010762. doi: 10.1371/journal.pgen.1010762. eCollection 2023 May. PLoS Genet. 2023. PMID: 37200398 Free PMC article.
  • Poor Cognitive Agility Conservation in Obese Aging People.
    Pardo-Moreno T, Mohamed-Mohamed H, Rivas-Dominguez A, Garcia-Morales V, Garcia-Lara RA, Suleiman-Martos S, Bermudez-Pulgarin B, Ramos-Rodriguez JJ. Pardo-Moreno T, et al. Biomedicines. 2023 Jan 5;11(1):138. doi: 10.3390/biomedicines11010138. Biomedicines. 2023. PMID: 36672646 Free PMC article.
  • Height and nigral neuron density in Parkinson's disease.
    Saari L, Backman EA, Wahlsten P, Gardberg M, Kaasinen V. Saari L, et al. BMC Neurol. 2022 Jul 11;22(1):254. doi: 10.1186/s12883-022-02775-2. BMC Neurol. 2022. PMID: 35820861 Free PMC article.

References

    1. Abbott RD, White LR, Ross GW, Petrovitch H, Masaki KH, Snowdon DA, Curb JD. Height as a marker of childhood development and late-life cognitive function: the Honolulu-Asia aging study. Pediatrics. 1998;102:602–609. doi: 10.1542/peds.102.3.602. - DOI - PubMed
    1. Beauchamp JP, Cesarini D, Johannesson M, Lindqvist E, Apicella C. On the sources of the height-intelligence correlation: new insights from a bivariate ACE model with assortative mating. Behavior Genetics. 2011;41:242–252. doi: 10.1007/s10519-010-9376-7. - DOI - PMC - PubMed
    1. Beeri MS, Davidson M, Silverman JM, Noy S, Schmeidler J, Goldbourt U. Relationship between body height and dementia. The American Journal of Geriatric Psychiatry. 2005;13:116–123. doi: 10.1097/00019442-200502000-00005. - DOI - PMC - PubMed
    1. Bird TD. Genetic Factors in Alzheimer's Disease. New England Journal of Medicine. 2005;352:862–864. doi: 10.1056/NEJMp058027. - DOI - PubMed
    1. Borenstein AR, Copenhaver CI, Mortimer JA. Early-life risk factors for alzheimer disease. Alzheimer Disease & Associated Disorders. 2006;20:63–72. doi: 10.1097/01.wad.0000201854.62116.d7. - DOI - PubMed

Publication types