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Height, aging and cognitive abilities across Europe

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  • Guven, Cahit
  • Lee, Wang-Sheng

Abstract

Previous research has found that as a marker of childhood circumstances, height is correlated with cognitive functioning at older ages. Using data from the Survey of Health, Ageing, and Retirement in Europe (SHARE) and about 17,000 respondents from 11 countries, we find that height is positively and significantly associated with cognitive functioning in later life despite controlling for a myriad of possible confounding factors. A 10cm increase in height is associated with a 0.04 standard deviation increase in a summary cognitive score (mean 0.02, std. dev. 0.77). We find that being born in a country where the infant mortality rate at the time of birth is high has a negative and significant influence on cognitive functioning in later life. A 10% increase in the infant mortality rate is associated with a 0.1 standard deviation decrease in the summary cognitive score. We also find some evidence that height serves as a protective factor against age related deterioration in cognitive functioning. For persons of average stature, age related decreases in cognition scores are 3–5 percentage points smaller if they move up a quartile in the height distribution. Our results also suggest that there is a significant positive association between height and cognitive abilities across countries for this pre-1950 birth cohort of respondents, with correlations ranging from 0.4 to 0.8.

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  • Guven, Cahit & Lee, Wang-Sheng, 2015. "Height, aging and cognitive abilities across Europe," Economics & Human Biology, Elsevier, vol. 16(C), pages 16-29.
    • Handle: RePEc:eee:ehbiol:v:16:y:2015:i:c:p:16-29
    DOI: 10.1016/j.ehb.2013.12.005
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    3. Jain, Urvashi & Ma, Mingming, 2020. "Height shrinkage, health and mortality among older adults: Evidence from Indonesia," Economics & Human Biology, Elsevier, vol. 37(C).
    4. Gevrek, Deniz & Guven, Cahit & Gevrek, Z. Eylem, 2022. "The relationship between early-life conditions in the home country and adult outcomes among child immigrants in the United States," Economics & Human Biology, Elsevier, vol. 45(C).
    5. Balietti, Anca & Datta, Souvik & Veljanoska, Stefanija, 2022. "Air pollution and child development in India," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    6. Bundervoet, Tom & Fransen, Sonja, 2018. "The educational impact of shocks in utero: Evidence from Rwanda," Economics & Human Biology, Elsevier, vol. 29(C), pages 88-101.
    7. Mosca, Irene & Wright, Robert E., 2016. "Height and cognition at older ages: Irish evidence," Economics Letters, Elsevier, vol. 149(C), pages 98-101.
    8. Ogórek, Bartosz, 2019. "Talented but lazy. The height-school premium among Cracow’s schoolboys in the interwar period," Economics & Human Biology, Elsevier, vol. 34(C), pages 252-256.
    9. Kajori Banerjee & Laxmi Kant Dwivedi, 2020. "Disparity in childhood stunting in India: Relative importance of community-level nutrition and sanitary practices," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.
    10. Chen, Wen-Yi, 2016. "On the relationship between economic conditions around the time of birth and late life cognitive abilities: Evidence from Taiwan," Economics & Human Biology, Elsevier, vol. 22(C), pages 126-139.
    11. Olivera, Javier & Andreoli, Francesco & Leist, Anja K. & Chauvel, Louis, 2018. "Inequality in old age cognition across the world," Economics & Human Biology, Elsevier, vol. 29(C), pages 179-188.
    12. Hruschka, Daniel J. & Hackman, Joseph V. & Stulp, Gert, 2019. "Identifying the limits to socioeconomic influences on human growth," Economics & Human Biology, Elsevier, vol. 34(C), pages 239-251.
    13. Yang, Xiao & Gao, Jian & Liu, Jin-Hu & Zhou, Tao, 2018. "Height conditions salary expectations: Evidence from large-scale data in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 86-97.

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    More about this item

    Keywords

    Aging; Cognitive abilities; Early life conditions; Height; Infant mortality rate;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy

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