scholarly journals Labor augmentation during birth and later cognitive ability in young adulthood

2018 ◽  
Vol Volume 10 ◽  
pp. 1765-1772 ◽  
Author(s):  
Lonny Stokholm ◽  
Nicole M. Talge ◽  
Gunhild Tidemann Christensen ◽  
Mette Juhl ◽  
Laust Hvas Mortensen ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Insa Feinkohl ◽  
Petra Kozma ◽  
Friedrich Borchers ◽  
Simone J. T. van Montfort ◽  
Jochen Kruppa ◽  
...  

Abstract Background Studies suggest that a higher education and occupation are each associated with a higher late-life cognitive ability, but their inter-relationships in their association with cognitive ability and the contribution of peak IQ in young adulthood (‘pre-morbid IQ’) often remain unclear. Methods Cross-sectional analysis of 623 participants aged ≥65 years of the BioCog study. Education was coded according to the International Standard Classification of Education (ISCED; range 1 to 6). Occupation was coded as ‘semi/unskilled’, ‘skilled manual’, ‘skilled non-manual’, ‘managerial’, ‘professional’. A summary score of global ability (‘g’) was constructed from six cognitive tests. Pre-morbid IQ was estimated from vocabulary. The Geriatric Depression Scale assessed symptoms of depression. Age- and sex-adjusted analyses of covariance were performed. Results Education (partial eta2 0.076; p < 0.001) and occupation (partial eta2 = 0.037; p < 0.001) were each significantly associated with g. For education, the association was attenuated but remained statistically significant when pre-morbid IQ was controlled for (partial eta2 0.036; p < 0.001) and was unchanged with additional adjustment for depression (partial eta2 0.037; p < 0.001). For occupation, the association with g was no longer significant when pre-morbid IQ (partial eta2 = 0.015; p = 0.06) and depression (partial eta2 = 0.011; p = 0.18) were entered as covariates in separate steps. When education and occupation were entered concurrently into the fully adjusted model, only education was independently associated with g (partial eta2 0.030; p < 0.001; occupation, p = 0.93). Conclusion While a higher education and a higher occupation were each associated with a higher late-life cognitive ability, only for education some unique contribution to cognitive ability remained over and above its relationship with pre-morbid IQ, depression, and occupation. Further research is needed to address whether a longer time spent in education may promote late-life cognitive ability.


2019 ◽  
Vol 59 (5) ◽  
pp. 1919-1928 ◽  
Author(s):  
Ina Olmer Specht ◽  
Janet Janbek ◽  
Fanney Thorsteinsdottir ◽  
Peder Frederiksen ◽  
Berit L. Heitmann

2017 ◽  
Vol 13 (12) ◽  
pp. 1355-1363 ◽  
Author(s):  
Merete Osler ◽  
Gunhild T. Christensen ◽  
Ellen Garde ◽  
Erik L. Mortensen ◽  
Kaare Christensen

2017 ◽  
Vol 36 (6) ◽  
pp. 587-597 ◽  
Author(s):  
Satu M. Kumpulainen ◽  
Kati Heinonen ◽  
Anu-Katriina Pesonen ◽  
Minna K. Salonen ◽  
Sture Andersson ◽  
...  

2018 ◽  
Vol 47 (4) ◽  
pp. 1151-1158 ◽  
Author(s):  
Merete Osler ◽  
Erik L Mortensen ◽  
Kaare Christensen ◽  
Gunhild T Christensen

2009 ◽  
Vol 15 (11) ◽  
pp. 1112-1120 ◽  
Author(s):  
C M A Haworth ◽  
M J Wright ◽  
M Luciano ◽  
N G Martin ◽  
E J C de Geus ◽  
...  

2020 ◽  
Vol 87 (9) ◽  
pp. S43-S44
Author(s):  
Kathryn Humphreys ◽  
Katherine Guyon-Harris ◽  
Florin Tibu ◽  
Charles A. Nelson ◽  
Nathan A. Fox ◽  
...  

2009 ◽  
Vol 20 (9) ◽  
pp. 1146-1152 ◽  
Author(s):  
Michael J. Lyons ◽  
Timothy P. York ◽  
Carol E. Franz ◽  
Michael D. Grant ◽  
Lindon J. Eaves ◽  
...  

Previous research has demonstrated stability of cognitive ability and marked heritability during adulthood, but questions remain about the extent to which genetic factors account for this stability. We conducted a 35-year longitudinal assessment of general cognitive ability using the Armed Forces Qualification Test administered to 7,232 male twins in early adulthood and readministered to a subset of 1,237 twins during late middle age. The proportion of variance in cognitive functioning explained by genetic factors was .49 in young adulthood and .57 in late middle age. The correlation between the two administrations was .74 with a genetic correlation of 1.0, indicating that the same genetic influences operated at both times. Genetic factors were primarily responsible for stability, and nonshared environmental factors were primarily responsible for change. The genetic factors influencing cognition may change across other eras, but the same genetic influences are operating from early adulthood to late middle age.


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