Abstract
Socioeconomic status (SES) is inversely associated with risks of type 2 diabetes (T2D). We investigated if young men’s cognitive function, measured by intelligence test scores and educational level, as determinants of SES modified associations between body mass index (BMI) and height with the risk of T2D. 369 989 young men from the Danish Conscription Database born between 1939 and 1959 with information on measured height, weight, intelligence test scores, and education were linked to the Danish National Patient Register. During follow-up from 1977 through 2015, T2D was recorded in 32 188 men. Hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated by Cox regressions. BMIs below-average (z-scores ≤ 0) were not related to risks of T2D. For BMIs above-average (z-scores > 0), positive associations between BMI and T2D were slightly stronger among men with higher intelligence test scores or longer educations than among men with lower levels of these factors (pinteraction-values < 0.004). Irrespective of BMI, incidence rates of T2D were higher among men with low levels of intelligence test score and education. Height was inversely associated with T2D (per z-score, HR = 0.96 (95% CI 0.95–0.97) and the association did not vary by intelligence test scores or education (all pinteraction-values > 0.59). While below-average BMI was not associated with T2D risk, above-average BMIs were and these association were stronger among men with high cognitive function. Nevertheless, T2D risk was higher at lower levels of cognitive function throughout the range of BMI. Height was inversely associated with T2D and it was not modified by cognitive function.
Similar content being viewed by others
References
IDF Diabetes Atlas [database on the Internet]. International Diabetes Federation. 2017. http://www.diabetesatlas.org. Accessed 13 May 2019.
Roglic G, World Health Organization. Global report on diabetes. Geneva: World Health Organization; 2016.
Furer A, Afek A, Beer Z, et al. Height at late adolescence and incident diabetes among young men. PLoS ONE. 2015;10(8):e0136464. https://doi.org/10.1371/journal.pone.0136464.
Kumari M, Head J, Marmot M. Prospective study of social and other risk factors for incidence of type 2 diabetes in the Whitehall II study. Arch Intern Med. 2004;164(17):1873–80. https://doi.org/10.1001/archinte.164.17.1873.
Bjerregaard LG, Jensen BW, Angquist L, Osler M, Sørensen TIA, Baker JL. Change in overweight from childhood to early adulthood and risk of type 2 diabetes. N Engl J Med. 2018;378(14):1302–12. https://doi.org/10.1056/NEJMoa1713231.
Stringhini S, Batty GD, Bovet P, et al. Association of lifecourse socioeconomic status with chronic inflammation and type 2 diabetes risk: the Whitehall II prospective cohort study. PLoS Med. 2013;10(7):e1001479. https://doi.org/10.1371/journal.pmed.1001479.
Maty SC, Lynch JW, Raghunathan TE, Kaplan GA. Childhood socioeconomic position, gender, adult body mass index, and incidence of type 2 diabetes mellitus over 34 years in the Alameda County Study. Am J Public Health. 2008;98(8):1486–94. https://doi.org/10.2105/ajph.2007.123653.
Lee TC, Glynn RJ, Pena JM, et al. Socioeconomic status and incident type 2 diabetes mellitus: data from the Women’s Health Study. PLoS ONE. 2011;6(12):e27670. https://doi.org/10.1371/journal.pone.0027670.
Yang MH, Hall SA, Piccolo RS, Maserejian NN, McKinlay JB. Do behavioral risk factors for prediabetes and insulin resistance differ across the socioeconomic gradient? Results from a community-based epidemiologic survey. Int J Endocrinol. 2015;2015:806257. https://doi.org/10.1155/2015/806257.
Cirera L, Huerta JM, Chirlaque MD, et al. Life-course social position, obesity and diabetes risk in the EPIC-Spain Cohort. Eur J Public Health. 2016;26(3):439–45. https://doi.org/10.1093/eurpub/ckv218.
von Stumm S, Plomin R. Socioeconomic status and the growth of intelligence from infancy through adolescence. Intelligence. 2015;48:30–6. https://doi.org/10.1016/j.intell.2014.10.002.
Jørgensen TS, Osler M, Angquist LH, Zimmermann E, Christensen GT, Sørensen TIA. The U-shaped association of body mass index with mortality: influence of the traits height, intelligence, and education. Obesity (Silver Spring). 2016;24(10):2240–7. https://doi.org/10.1002/oby.21615.
Christensen GT, Molbo D, Ängquist LH, et al. Cohort profile: the danish conscription database(DCD): a cohort of 728,160 men born from 1939 through 1959. Int J Epidemiol. 2015;44(2):432–40. https://doi.org/10.1093/ije/dyu114.
The Danish Ministry of Defence. Værnepligtsloven [In Danish]. Rule number 231. 5 May 1980. https://www.retsinformation.dk/eli/lta/1980/213. Accessed 26 April 2019.
Forsvaret. Før Forsvarets Dag. 2017. http://www2.forsvaret.dk/temaer/vaernepligt/foerforsvaretsdag/Pages/default.aspx#Over6. Accessed 15 May 2017.
Pedersen CB. The Danish civil registration system. Scand J Public Health. 2011;39(7 Suppl):22–5. https://doi.org/10.1177/1403494810387965.
Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992;11(10):1305–19.
Andersen TF, Madsen M, Jørgensen J, Mellemkjær L, Olsen JH. The Danish National Hospital Register. A valuable source of data for modern health sciences. Dan Med Bull. 1999;46(3):263–8.
Lynge E, Sandegaard JL, Rebolj M. The Danish national patient register. Scand J Public Health. 2011;39(7 Suppl):30–3. https://doi.org/10.1177/1403494811401482.
Diabetesforeningen. Diabetes i Danmark. 2015. http://www.diabetes.dk/presse/diabetes-i-tal/diabetes-i-danmark.aspx. Accessed 26 May 2017.
Schemper M, Smith TL. A note on quantifying follow-up in studies of failure time. Control Clin Trials. 1996;17(4):343–6. https://doi.org/10.1016/0197-2456(96)00075-X.
Green A. The Danish conscription registry: a resource for epidemiological research. Dan Med Bull. 1996;43(5):464–7.
Aarestrup J, Bjerregaard LG, Gamborg M, et al. Tracking of body mass index from 7 to 69 years of age. Int J Obes (Lond). 2016;40(9):1376–83. https://doi.org/10.1038/ijo.2016.88.
van Greevenbroek MM, Schalkwijk CG, Stehouwer CD. Obesity-associated low-grade inflammation in type 2 diabetes mellitus: causes and consequences. Neth J Med. 2013;71(4):174–87.
Hirschhorn JN, Lindgren CM, Daly MJ, et al. Genomewide linkage analysis of stature in multiple populations reveals several regions with evidence of linkage to adult height. Am J Hum Genet. 2001;69(1):106–16. https://doi.org/10.1086/321287.
Li JK, Ng MC, So WY, et al. Phenotypic and genetic clustering of diabetes and metabolic syndrome in Chinese families with type 2 diabetes mellitus. Diabetes Metab Res Rev. 2006;22(1):46–52. https://doi.org/10.1002/dmrr.577.
Ramachandran A, Snehalatha C, Satyavani K, Sivasankari S, Vijay V. Cosegregation of obesity with familial aggregation of type 2 diabetes mellitus. Diabetes Obes Metab. 2000;2(3):149–54.
Mirowsky J, Ross CE. Education, health, and the default American lifestyle. J Health Soc Behav. 2015;56(3):297–306. https://doi.org/10.1177/0022146515594814.
Pikhartova J, Blane D, Netuveli G. The role of childhood social position in adult type 2 diabetes: evidence from the English Longitudinal Study of Ageing. BMC Public Health. 2014;14:505. https://doi.org/10.1186/1471-2458-14-505.
Chen XF, Wei Z, Wang T, et al. Demographic and lifestyle characteristics, but not apolipoprotein E genotype, are associated with intelligence among young Chinese college students. PLoS ONE. 2015;10(11):e0143157. https://doi.org/10.1371/journal.pone.0143157.
Wraw C, Der G, Gale CR, Deary IJ. Intelligence in youth and health behaviours in middle age. Intelligence. 2018;69:71–86. https://doi.org/10.1016/j.intell.2018.04.005.
Acknowledgements
The Danish Conscription Database at the Department of Public Health, University of Copenhagen. The authors thank M Osler, K Christensen, D Molbo, EL Mortensen, TIA Sørensen who established the database.
Funding
This work was supported by the European Union’s Horizon 2020 research and innovation programme [Grant Agreement No. 633595, DynaHEALTH] and by The Novo Nordisk Foundation [Grant Number NNF17OC0028338].
Author information
Authors and Affiliations
Contributions
LGB, TIAS, and JLB conceived the study, and all authors were involved in the design of the study. MLD and LGB conducted the statistical analysis. All authors were involved in the data interpretation. LGB, MLD, and JLB drafted the manuscript. All authors critically revised the manuscript for important intellectual content, read and approved the final version of this manuscript. LGB, MLD, and JLB had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
The study was approved by the Danish Data Protection Agency. According to Danish law, informed consent is not required for purely register-based research of preexisting personal data.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Bjerregaard, L.G., Damborg, M.L., Osler, M. et al. Body mass index and height in relation to type 2 diabetes by levels of intelligence and education in a large cohort of Danish men. Eur J Epidemiol 35, 1167–1175 (2020). https://doi.org/10.1007/s10654-020-00641-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10654-020-00641-4