Author
Listed:
- Li Zhang
(Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
Beijing’s Key Laboratory of Food Safety Toxicology Research and Evaluation, Beijing 100191, China)
- Jiao Yang
(Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
Beijing’s Key Laboratory of Food Safety Toxicology Research and Evaluation, Beijing 100191, China)
- Zhangyi Liao
(Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
Beijing’s Key Laboratory of Food Safety Toxicology Research and Evaluation, Beijing 100191, China)
- Xiaomeng Zhao
(Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
Beijing’s Key Laboratory of Food Safety Toxicology Research and Evaluation, Beijing 100191, China)
- Xuefeng Hu
(Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada)
- Wenli Zhu
(Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
Beijing’s Key Laboratory of Food Safety Toxicology Research and Evaluation, Beijing 100191, China)
- Zhaofeng Zhang
(Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
Beijing’s Key Laboratory of Food Safety Toxicology Research and Evaluation, Beijing 100191, China)
Abstract
Objectives : The aim of this study is to identify the relationship between diabetes status including characteristics of diabetes and cognition among the middle-aged and elderly population (≥45 years) in China. Methods : A sample of 8535 people who participated in the China Health and Retirement Longitudinal Study (CHARLS) from June 2011 to March 2012 was analyzed. Two cognitive domains including episodic memory and executive function were measured through questionnaires. People were classified into four groups: no diabetes, controlled diabetes, untreated diabetes, treated but uncontrolled diabetes. Weighted multiple regression model was conducted to explore the association between diabetes and cognition in full sample as well as three different age groups (45–59, 60–74, ≥75). Adjustments were made for demographics and cardiovascular risk factors. Results : After adjusting several covariates, untreated diabetes (β = −0.192, p < 0.05) was significantly associated with episodic memory. In the age group of 45–69 years, untreated diabetes (β = −0.471, p < 0.05) and HbA1c level (β = −0.074, p < 0.05) were significantly associated with episodic memory. When adjusting for cardiovascular risk factors, all correlations were non-significant. Conclusion : The cross-sectional study suggests that untreated diabetes and HbA1c are the potential risk factor for cognitive impairment, and these associations are more significant in the age group of 45–59 years old. Cardiovascular factors are important mediating factors in the pathway between diabetes and cognitive impairment. More longitudinal studies are needed to confirm these associations.
Suggested Citation
Li Zhang & Jiao Yang & Zhangyi Liao & Xiaomeng Zhao & Xuefeng Hu & Wenli Zhu & Zhaofeng Zhang, 2019.
"Association between Diabetes and Cognitive Function among People over 45 Years Old in China: A Cross-Sectional Study,"
IJERPH, MDPI, vol. 16(7), pages 1-12, April.
Handle:
RePEc:gam:jijerp:v:16:y:2019:i:7:p:1294-:d:221735
Download full text from publisher
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Ella Cohn-Schwartz & Rennie Joshi & Leslie A. McClure, 2023.
"The Associations of Loneliness and Social Support with Cognitive Impairment among Middle-Aged and Older Individuals with Diabetes,"
IJERPH, MDPI, vol. 20(3), pages 1-10, January.
- Zhihao Jia & Yan Gao & Liangyu Zhao & Suyue Han, 2022.
"Longitudinal Relationship between Cognitive Function and Health-Related Quality of Life among Middle-Aged and Older Patients with Diabetes in China: Digital Usage Behavior Differences,"
IJERPH, MDPI, vol. 19(19), pages 1-13, September.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1294-:d:221735. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.