| Title |
Sex differences in obesity and cognitive function in a cognitively normal aging Chinese Han population
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, September 2017
|
| DOI | 10.2147/ndt.s145245 |
| Pubmed ID | |
| Authors |
Wei Li, Qi Qiu, Lin Sun, Ling Yue, Tao Wang, Xia Li, Shifu Xiao |
| Abstract |
Sex differences in Alzheimer's disease and mild cognitive impairment have been well recognized. However, sex differences in cognitive function and obesity in cognitively normal aging Chinese Han population have not attracted much attention. The aim of this study was to investigate the relationship between sex, obesity, and cognitive function in an elderly Chinese population with normal cognitive function. A total of 228 cognitively normal aging participants (males/females =93/135) entered this study. Their general demographic information (sex, age, and education) was collected by standardized questionnaire. Apolipoprotein E (APOE) genotype and serum lipid levels were measured. The Montreal Cognitive Assessment (MoCA) was used to assess participants' cognitive function. The prevalence of obesity in elderly women (18/133, 13.5%) was significantly higher than that in men (5/92, 5.4%, P=0.009). Regression analyses showed that obesity was associated with drinking alcohol (OR =13.695, P=0.045) and triglyceride (OR =1.436, P=0.048) in women and limited to low-density lipoprotein (OR =11.829, P=0.023) in men. Women performed worse on the naming score for MoCA than men (P<0.01). Stepwise linear regression analysis showed that education (t=3.689, P<0.001) and smoking (t=2.031, P=0.045) were related to the score of naming in female, while high-density lipoprotein (t=-2.077, P=0.041) was related to the score of naming in male; however, no correlation was found between body mass index and cognitive function in both male and female (P>0.05). Our finding suggests that there are significant sex differences in obesity and specific cognitive domains in aging Chinese Han population with normal cognitive function. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 18% |
| Lecturer | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Psychology | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Other | 8 | 20% |
| Unknown | 16 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 September 2017.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,869
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Outputs of similar age
#208,507
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Outputs of similar age from Neuropsychiatric Disease and Treatment
#40
of 77 outputs
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