| Title |
Effects of the APOE ε4 allele and education on cognitive function in Japanese centenarians
|
|---|---|
| Published in |
GeroScience, August 2016
|
| DOI | 10.1007/s11357-016-9944-8 |
| Pubmed ID | |
| Authors |
Yoshiko Lily Ishioka, Yasuyuki Gondo, Noriyuki Fuku, Hiroki Inagaki, Yukie Masui, Michiyo Takayama, Yukiko Abe, Yasumichi Arai, Nobuyoshi Hirose |
| Abstract |
Apolipoprotein E (APOE) ε4 allele and education have been reported to affect the cognitive function in young-old adults. However, the effects and interactions of the ε4 allele and education on cognitive function in very old age, particularly in centenarians, are not well known. We studied 542 Japanese centenarians. Using the data in total of 452 participants (74 men and 378 women, mean age 103.6 ± 3.2 years) who were genotyped and assessed cognitive function with the Mini-Mental States Examination (MMSE), we examined the effects and interactions of the ε4 allele and education on the MMSE score. First, we coded education as three levels: low, middle, and high based on the formal educational levels (analysis 1). Second, to clarify the modifying effect of education, we adopted a new coding for education into two levels, considering a periodical background (around 1900) of gender differences in educational attainments (analysis 2). In analysis 1, the main effects of the ε4 allele and education on the MMSE score were significant after adjusting for age. Further, there was a significant three-way interaction effect between the ε4 allele, education, and gender on the MMSE. Analysis 2 showed that the modifying effect of the ε4 allele by education was observed only in women with the ε4 allele. These findings suggest that both the APOE ε4 allele and education appear to be associated with cognitive function even in centenarians, but the interaction between the ε4 allele and education might depend on gender in this cohort. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| United States | 1 | 33% |
| Japan | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 21% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 21% |
| Neuroscience | 5 | 13% |
| Medicine and Dentistry | 4 | 11% |
| Nursing and Health Professions | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 January 2017.
All research outputs
#15,168,964
of 25,371,288 outputs
Outputs from GeroScience
#1,047
of 1,594 outputs
Outputs of similar age
#195,643
of 352,645 outputs
Outputs of similar age from GeroScience
#10
of 17 outputs
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