Skip to main content
Top
Published in: European Journal of Epidemiology 2/2019

01-02-2019 | SOCIAL EPIDEMIOLOGY

Education modifies the relationship between height and cognitive function in a cross-sectional population-based study of older adults in Rural South Africa

Authors: Lindsay C. Kobayashi, Lisa F. Berkman, Ryan G. Wagner, Kathleen Kahn, Stephen Tollman, S. V. Subramanian

Published in: European Journal of Epidemiology | Issue 2/2019

Login to get access

Abstract

We aimed to estimate the relationship between height (a measure of early-life cumulative net nutrition) and later-life cognitive function among older rural South African adults, and whether education modified this relationship. Data were from baseline in-person interviews with 5059 adults ≥ 40 years in the population-based “Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa” (HAALSI) study in Agincourt sub-district, South Africa, in 2015. Linear regression was used to estimate the relationship between height quintile and latent cognitive function z-score (representing episodic memory, time orientation, and numeracy), with adjustment for life course covariates and a height-by-education interaction. Mean (SD) height was 162.7 (8.9) cm. Nearly half the sample had no formal education (46%; 2307/5059). Mean age- and sex-adjusted cognitive z-scores increased from − 0.68 (95% CI: − 0.76 to − 0.61) in those with no education in the shortest height quintile to 0.62 (95% CI: 0.52–0.71) in those with at least 8 years of education in the tallest height quintile. There was a linear height disparity in cognitive z-scores for those with no formal education (adjusted β = 0.10; 95% CI: 0.08–0.13 per height quintile), but no height disparity in cognitive z-scores in those with any level of education. Short stature is associated with poor cognitive function and may be a risk factor for cognitive impairment among older adults living in rural South Africa. The height disparity in cognitive function was negated for older adults who had any level of education.
Appendix
Available only for authorised users
Literature
6.
go back to reference Abbott RD, White LR, Ross GW, et al. Height as a marker of childhood development and late-life cognitive function: the Honolulu–Asia aging study. Pediatrics. 1998;102(3):602–9.CrossRefPubMed Abbott RD, White LR, Ross GW, et al. Height as a marker of childhood development and late-life cognitive function: the Honolulu–Asia aging study. Pediatrics. 1998;102(3):602–9.CrossRefPubMed
20.
go back to reference Case A, Paxson C. Stature and status: height, ability, and labor market outcomes. Cambridge: National Bureau of Economic Research; 2006. NBER Working Paper 12466. Case A, Paxson C. Stature and status: height, ability, and labor market outcomes. Cambridge: National Bureau of Economic Research; 2006. NBER Working Paper 12466.
21.
go back to reference Christie P, Collins C. Bantu education: Apartheid ideology and labour reproduction. In: Kallaway P, editor. Apartheid and Education. Braamfontein: Raven Press; 1984. p. 160–83. Christie P, Collins C. Bantu education: Apartheid ideology and labour reproduction. In: Kallaway P, editor. Apartheid and Education. Braamfontein: Raven Press; 1984. p. 160–83.
22.
go back to reference United Nations. Apartheid in South Africa: summary of the report of the special committee on the policies of apartheid of the Government of South Africa. New York: United Nations; 1963. United Nations. Apartheid in South Africa: summary of the report of the special committee on the policies of apartheid of the Government of South Africa. New York: United Nations; 1963.
25.
go back to reference Kobayashi LC, Glymour MM, Kahn K, et al. Childhood deprivation and later-life cognitive function in a population-based study of older rural South Africans. Soc Sci Med. 2017;10:25. Kobayashi LC, Glymour MM, Kahn K, et al. Childhood deprivation and later-life cognitive function in a population-based study of older rural South Africans. Soc Sci Med. 2017;10:25.
29.
go back to reference Muthén L, Muthén B. Examples: confirmatory factor analysis and structural equation modeling. In: Muthén L, Muthén B, editors. MPlus user’s guide. 6th ed. Los Angeles: Muthén & Muthén; 2017. p. 55–112. Muthén L, Muthén B. Examples: confirmatory factor analysis and structural equation modeling. In: Muthén L, Muthén B, editors. MPlus user’s guide. 6th ed. Los Angeles: Muthén & Muthén; 2017. p. 55–112.
38.
go back to reference Bassuk SS, Glass TA, Berkman LF. Social disengagement and incident cognitive decline in community-dwelling elderly persons. Ann Intern Med. 1999;131(3):165–73.CrossRefPubMed Bassuk SS, Glass TA, Berkman LF. Social disengagement and incident cognitive decline in community-dwelling elderly persons. Ann Intern Med. 1999;131(3):165–73.CrossRefPubMed
Metadata
Title
Education modifies the relationship between height and cognitive function in a cross-sectional population-based study of older adults in Rural South Africa
Authors
Lindsay C. Kobayashi
Lisa F. Berkman
Ryan G. Wagner
Kathleen Kahn
Stephen Tollman
S. V. Subramanian
Publication date
01-02-2019
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 2/2019
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-018-0453-1

Other articles of this Issue 2/2019

European Journal of Epidemiology 2/2019 Go to the issue

PERINATAL EPIDEMIOLOGY

Apgar score and risk of autism