Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

Journal: Journal of affective disorders

PMID: 39805501

Abstract

BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence suggesting potential links to obesity and lipid metabolism disturbances. This study investigates the relationships between the triglyceride-glucose (TyG) index, body mass index (BMI), depression, and cognitive dysfunction in older adults, leveraging data from the NHANES survey and employing machine learning techniques.

Authors

Chao Ding

Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Renjie Lu

Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhiyu Kong

South China University of Technology, Guangzhou, China.
Rong Huang

School of Nursing, Chuanbei Medical College, Nanchong, China.

Keywords

Aged Blood Glucose Body Mass Index Cognitive Dysfunction Depression Female Humans Machine Learning Male Mendelian Randomization Analysis Middle Aged Nutrition Surveys Obesity Triglycerides

External Resources

View on PubMed Access via DOI PubMed (39805501)

Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

Abstract

Authors

Keywords

External Resources

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