Association between Cardiometabolic Index and Cognitive Function: A Cross-Sectional Study in a Diabetic-Based Population

Liu, Changxing; Guo, Xinyi; Wang, Boyu; Meng, Tianwei; Li, Chengjia; Zhou, Yabin; Fu, Jiamei

doi:10.1159/000539482

Cited by 3 publications

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Association of cardiometabolic index with sleep quality in adults: a population‑based study

Jia,

2024

Sci Rep

View full text Add to dashboard Cite

The Cardiometabolic Index (CMI) represents an innovative metric that encompasses abdominal obesity and lipid levels, offering a comprehensive assessment of cardiometabolic health. It is derived through the multiplication of the waist-to-height ratio by the triglyceride-to-high-density lipoprotein cholesterol ratio. Although obesity and blood lipid levels are known factors affecting sleep quality, the direct correlation between CMI and sleep quality has yet to be elucidated. This study uses NHANES data to explore the potential correlation between CMI and sleep quality. Our research employed a cross-sectional design, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2014. CMI was used as the exposure variable, with sleep quality assessed through three self-reported measures: trouble sleeping, sleep disorders, and sleep duration. We employed multivariate logistic regression models and linear regression model as well as subgroup analyses to explore the independent relationship between CMI and sleep quality. Additionally, interaction tests were conducted to examine differences across various subgroups. The study included 4298 participants, comprising 2134 males and 2164 females. There was a positive correlation between CMI and trouble sleeping (OR = 1.63, 95% CI 1.28–2.08) and sleep disorders (OR = 1.96, 95% CI 1.43–2.67), while there was a negative correlation between CMI and sleep duration (β = − 0.17, 95% CI − 0.31 to − 0.03), indicating that a higher CMI was associated with shorter sleep duration. Subgroup analyses and interaction tests revealed a consistently positive association between CMI and sleep difficulty across various populations, including gender, age, hypertension, diabetes, and cardiovascular disease history. However, the relationship between CMI and sleep disorders was more prominent among participants aged 50 and above. In American adults, a higher CMI is linked to an increased prevalence of sleep disturbances. In clinical practice, CMI can be considered as a supplementary factor in the assessment and management of sleep problems. Our study also provided new insights for improving sleep quality. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-77855-z.

show abstract

Association of cardiometabolic index with sleep quality in adults: a population‑based study

Jia,

2024

Sci Rep

View full text Add to dashboard Cite

show abstract

The protective role of basal metabolic rate in cognitive decline: evidence from epidemiological and genetic studies

Meng,

Liu,

Wang

et al. 2024

Postgraduate Medical Journal

View full text Add to dashboard Cite

Purpose This study aims to explore the relationship between basal metabolic rate (BMR) and cognitive impairment and assess the potential of BMR as a protective factor against cognitive decline. Methods This investigation initially conducted a cross-sectional study of American adults from 2011 to 2014 using data from the National Health and Nutrition Examination Survey. It examined the correlation between participants’ BMR and cognitive functions, exploring the association with cognitive impairment. Subsequently, publicly available genome-wide association study data was used to examine potential causal links between genetically determined BMR and specific cognitive disorders using Mendelian randomization. Results Cross-sectional findings revealed a significant positive correlation between higher BMR and cognitive scores. In Mendelian randomization analysis, BMR demonstrated an inverse causal relationship with Alzheimer’s disease and Parkinson’s dementia, suggesting BMR as a potential protective factor against these diseases. No causal links were found with vascular dementia, Lewy body dementia, and frontotemporal dementia. Conclusion This study supports the role of BMR as a potential protective factor against Alzheimer’s disease and Parkinson’s dementia, suggesting that BMR may play an important role in preventing cognitive decline. However, due to the limitations of cross-sectional studies, further prospective studies and broader demographic samples are necessary to verify these results and explore underlying biological mechanisms. Key messages What is already known on this topic: Existing knowledge suggests a close relationship between BMR and health and cognitive functions, but detailed studies on its connection with specific cognitive impairments are still needed. What this study adds: This study found a significant positive correlation between higher BMR and cognitive improvement, potentially aiding in the prevention of Alzheimer’s and Parkinson’s dementia. How this study might affect research, practice, or policy: This finding guides public health strategies and personalized medicine, emphasizing the necessity for further research to validate BMR’s protective effects.

show abstract

Differential association of seven adiposity parameters with cognitive impairment in the elderly

Liu,

Jin,

Huang

2024

Preprint

View full text Add to dashboard Cite

Background Over the past few years, several studies have indicated that overweight may contribute to the decline in cognitive function. This study aimed to evaluate how seven adiposity parameters are associated with cognitive impairment in older adults. Methods In this cross-sectional study, we included data from the National Health and Nutrition Examination Survey (NHANES) from 2011–2014. Logistic regression was employed to evaluate the relations between cognitive impairment and various parameters, including body mass index (BMI), arm circumference (AC), waist circumference (WC), waist-to-height ratio (WHtR), body roundness index (BRI), weight-adjusted waist (WWI), and a body shape index (ABSI). The best predictor of cognitive impairment was evaluated using the receiver operating characteristic (ROC) curve. Results The final study included 2,909 participants, with 726 diagnosed with cognitive impairment. We found that WWI and ABSI were significantly positively related to cognitive impairment (RR: 1.76, 95% CI: 1.50–2.07; RR: 1.09, 95% CI: 1.06–1.12), while AC was significantly negatively correlated with cognitive impairment (RR: 0.95, 95% CI: 0.92–0.98). ROC curve results showed that ABSI was the best predictor of cognitive impairment. Conclusions These results suggest that in clinical practice and public health settings, ABSI and WWI can be used as valid indicators to assess cognitive impairment.

show abstract

Association between Cardiometabolic Index and Cognitive Function: A Cross-Sectional Study in a Diabetic-Based Population

Cited by 3 publications

References 38 publications

Association of cardiometabolic index with sleep quality in adults: a population‑based study

Association of cardiometabolic index with sleep quality in adults: a population‑based study

The protective role of basal metabolic rate in cognitive decline: evidence from epidemiological and genetic studies

Differential association of seven adiposity parameters with cognitive impairment in the elderly

Contact Info

Product

Resources

About