Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Trends in cognitive function before and after diabetes onset in China

View through CrossRef
Abstract Background Individuals with prevalent diabetes were reported to have higher risk of dementia and lower cognitive function. However, the trends of cognitive function before diabetes and in the years following diabetes onset remain unclear. Methods and Findings This study included 12422 participants aged >45 years without baseline diabetes from the China Health and Retirement Longitudinal Study (CHARLS). Cognitive function was assessed at baseline (Wave 1, 2011), and at least one time from Wave 2 (2013) to Wave 4 (2018). During the 7-year follow-up, 1207 (9.7%, 59.1 ± 8.6 years, 39.9% males) participants developed new-onset diabetes. The cognitive function of both the without-diabetes group and the diabetes group declined annually during the follow-up. The annual decline rate of the diabetes group before diabetes onset was similar to that of the without-diabetes group during the follow-up. After diabetes onset, participants experienced accelerated rates of cognitive decline in global cognition (β, −0.023 SD/year; 95% CI, −0.043 to −0.004) and visuospatial abilities (−0.036 SD/year; −0.061 to −0.011), but not in orientation abilities (0.001 SD/year; −0.018 to 0.020). We also observed a tendency that episodic memory (−0.018 SD/year; −0.041 to 0.004) and attention and calculation abilities (−0.017 SD/year; −0.037 to 0.003) declined faster after new-onset diabetes, although the results did not meet our threshold of significance. In subgroup analysis, compared with those who developed diabetes between 45–54 years old, those developing diabetes older showed similar increments in cognitive decline rate after diabetes. Conclusions Individuals experienced faster rate of cognitive decline after diabetes onset, but not during the pre-diabetes period. Age did not modify the effect of diabetes on future cognitive decline. Future studies are needed to learn the mechanisms of cognitive decline in a few years after new-onset diabetes.
Title: Trends in cognitive function before and after diabetes onset in China
Description:
Abstract Background Individuals with prevalent diabetes were reported to have higher risk of dementia and lower cognitive function.
However, the trends of cognitive function before diabetes and in the years following diabetes onset remain unclear.
Methods and Findings This study included 12422 participants aged >45 years without baseline diabetes from the China Health and Retirement Longitudinal Study (CHARLS).
Cognitive function was assessed at baseline (Wave 1, 2011), and at least one time from Wave 2 (2013) to Wave 4 (2018).
During the 7-year follow-up, 1207 (9.
7%, 59.
1 ± 8.
6 years, 39.
9% males) participants developed new-onset diabetes.
The cognitive function of both the without-diabetes group and the diabetes group declined annually during the follow-up.
The annual decline rate of the diabetes group before diabetes onset was similar to that of the without-diabetes group during the follow-up.
After diabetes onset, participants experienced accelerated rates of cognitive decline in global cognition (β, −0.
023 SD/year; 95% CI, −0.
043 to −0.
004) and visuospatial abilities (−0.
036 SD/year; −0.
061 to −0.
011), but not in orientation abilities (0.
001 SD/year; −0.
018 to 0.
020).
We also observed a tendency that episodic memory (−0.
018 SD/year; −0.
041 to 0.
004) and attention and calculation abilities (−0.
017 SD/year; −0.
037 to 0.
003) declined faster after new-onset diabetes, although the results did not meet our threshold of significance.
In subgroup analysis, compared with those who developed diabetes between 45–54 years old, those developing diabetes older showed similar increments in cognitive decline rate after diabetes.
Conclusions Individuals experienced faster rate of cognitive decline after diabetes onset, but not during the pre-diabetes period.
Age did not modify the effect of diabetes on future cognitive decline.
Future studies are needed to learn the mechanisms of cognitive decline in a few years after new-onset diabetes.

Related Results

Diabetes Awareness Among High School Students in Qatar
Diabetes Awareness Among High School Students in Qatar
Diabetes is a disease that occurs when there is an abundance of glucose in the blood stream and the body cannot produce enough insulin in the pancreas to transfer the sugar from th...
Pendidikan dan promosi kesehatan tentang diabetes mellitus
Pendidikan dan promosi kesehatan tentang diabetes mellitus
Health education and promotion about diabetes mellitus Introduction: Diabetes mellitus in Indonesia is a serious threat to health development. The 2010 NCD World Health Organizatio...
Early-Onset Gastrointestinal Cancers
Early-Onset Gastrointestinal Cancers
ImportanceEarly-onset gastrointestinal (GI) cancer is typically defined as GI cancer diagnosed in individuals younger than 50 years. The incidence of early-onset GI cancer is risin...
Risk factors for new‐onset diabetes mellitus after kidney transplantation: A systematic review and meta‐analysis
Risk factors for new‐onset diabetes mellitus after kidney transplantation: A systematic review and meta‐analysis
AbstractAims/IntroductionTo systematically review the risk factors for new‐onset diabetes mellitus after kidney transplantation, and to provide a theoretical basis for the preventi...
Type 1 diabetes in young women : aspects on person-centered care and BMI in risk assessment
Type 1 diabetes in young women : aspects on person-centered care and BMI in risk assessment
<p dir="ltr"><b>Background and aims</b></p><p dir="ltr">Young women with type 1 diabetes (T1D) have higher relative risks of vascular complications an...
Type 1 diabetes in young women : aspects on person-centered care and BMI in risk assessment
Type 1 diabetes in young women : aspects on person-centered care and BMI in risk assessment
<p dir="ltr"><b>Background and aims</b></p><p dir="ltr">Young women with type 1 diabetes (T1D) have higher relative risks of vascular complications an...
Diabetes Prediction Using Machine Learning
Diabetes Prediction Using Machine Learning
The research analyzes machine learning methods for predicting diabetes through Pima Indians Diabetes Dataset analysis. The optimization of XGBoost and Logistic Regression (LR), Sup...

Back to Top