Association of Lipid- and Weight-Related Indices with Cognitive Impairment: Insights from ROC Analysis in Middle-Aged and Elderly Chinese Adults DOI
Zhuangzhuang Chen, Jun Li,

Hao Rao

и другие.

Опубликована: Апрель 23, 2025

Abstract OBJECTIVE: The aim of this study was to systematically assess the predictive ability multiple weight-related indicators (including body mass index (BMI), waist circumference (WC), and triglyceride-glucose (TyG)) on cognitive decline, explore differences in sensitivity these different gender populations. By comparing effects each index, hopes identify more clinically valuable screening tools for early detection impairment, thus providing a scientific basis public health interventions. METHODS: Based China Health Retirement Longitudinal Study (CHARLS) database, 8,255 middle-aged elderly subjects aged 45 98 years old who met criteria were screened total 14 indices, including BMI, WC, weight-adjusted (WWI), waist-to-height ratio (WHtR), TyG its derivatives (TyG-BMI, TyG-WC, TyG-WHtR), visceral adiposity (VAI), size (ABSI), roundness (BRI), lipid accumulation (LAP), (LAP). circularity (CI), Chinese (CVAI). impairment assessed using subject's work characteristic curve (ROC) analysis, optimal cut-off value, sensitivity, specificity area under (AUC) calculated. In addition, associations between severe (SCI) analyzed binary logistic regression models adjusted confounders such as age, blood pressure, chronic diseases improve robustness models. RESULTS: Among 8255 included, AUC values most ranged from 0.500 0.590, with limited overall power. Sex-stratified analysis showed that BMI (AUC=0.591), TyG-BMI (AUC=0.585), WC (AUC=0.569) had high value male group, while WWI (AUC=0.588), (AUC=0.572) performed relatively better. based best cutoff after adjusting diseases, among men, (OR=1.31, 95% CI: 1.12-1.54), (OR=1.21, 1.03-1.41), (OR=1.36, 1.16- 1.60), TyG-WC (OR=1.23, 1.06-1.44), TyG-WHtR (OR=1.19, 1.02-1.39), VAI (OR=1.25, 1.07-1.46) LAP (OR=1.24, 1.06-1.44) all significantly positively correlated SCI (p < 0.05). female (OR = 1.49, 1.26-1.76), 1.39, 1.17-1.65), 1.43, 1.21-1.69), 1.40, 1.19-1.66) 1.36, 1.16-1.61) likewise significant (P results indicated compared traditional single weight indicators, TyG-BMI, CVAI could reflect distribution, fat metabolic characteristics comprehensively, have higher application identification risk. CONCLUSION: This shows some prediction SCI. ROC alone, discriminatory ability. However, stratified controlling confounders, TyG-related independent groups. These which can comprehensively morphologic metabolism, are relevant people than indices. findings emphasize comprehensive indices be used screen at risk provide individualized management intervention. help promote inform future strategies.

Язык: Английский

A point-based cognitive impairment scoring system for Southeast Asian adults short title: Cognitive impairment scoring system DOI Creative Commons
Wei Ying Tan, Xiangyuan Huang, Caroline Robert

и другие.

The Journal of Prevention of Alzheimer s Disease, Год журнала: 2025, Номер unknown, С. 100069 - 100069

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Longitudinal Trajectories of Cognitive Function Among Chinese Middle-Aged and Older Adults: The Role of Sarcopenia and Depressive Symptoms DOI Creative Commons
Shengxuan Jin, Jianqian Chao, Jin Qian

и другие.

Brain Sciences, Год журнала: 2025, Номер 15(4), С. 408 - 408

Опубликована: Апрель 17, 2025

Objectives: The longitudinal relationship between sarcopenia, depression, and cognitive impairment has been insufficiently studied in China. This study aimed to characterize the association sarcopenia mediating role of depression using nationally representative data. Methods: 7091 middle-aged older adults were analyzed from China Health Retirement Longitudinal Study (CHARLS) across three waves (2011, 2013, 2015). Cognitive trajectories modeled a group-based trajectory model (GBTM), while multivariable ordinal logistic regression was employed evaluate associations with trajectories. depressive symptoms assessed through bootstrap mediation analysis cross-lagged panel modeling (CLPM). Results: Trajectory identified four distinct function patterns: “High Stable” (n = 2563, 36.73%), “Middle group 2860, 38.76%), Decline” 1280, 18.62%), “Low 388, 5.90%). Sarcopenia associated [Overall: OR (95%CI) 0.315 (0.259, 0.382) 0.417 (0.380, 0.459)]. Mediation indicated that accounted for 11.78% demonstrated significant pathway “T1 → T2 T3 sarcopenia”, 5.31% total effect. Conclusions: Our trajectories, significantly worse over time. Depressive mediated function. highlights importance integrating mental health physical interventions address interconnected risks aging.

Язык: Английский

Процитировано

0
Association of Lipid- and Weight-Related Indices with Cognitive Impairment: Insights from ROC Analysis in Middle-Aged and Elderly Chinese Adults DOI
Zhuangzhuang Chen, Jun Li,

Hao Rao

и другие.

Опубликована: Апрель 23, 2025

Abstract OBJECTIVE: The aim of this study was to systematically assess the predictive ability multiple weight-related indicators (including body mass index (BMI), waist circumference (WC), and triglyceride-glucose (TyG)) on cognitive decline, explore differences in sensitivity these different gender populations. By comparing effects each index, hopes identify more clinically valuable screening tools for early detection impairment, thus providing a scientific basis public health interventions. METHODS: Based China Health Retirement Longitudinal Study (CHARLS) database, 8,255 middle-aged elderly subjects aged 45 98 years old who met criteria were screened total 14 indices, including BMI, WC, weight-adjusted (WWI), waist-to-height ratio (WHtR), TyG its derivatives (TyG-BMI, TyG-WC, TyG-WHtR), visceral adiposity (VAI), size (ABSI), roundness (BRI), lipid accumulation (LAP), (LAP). circularity (CI), Chinese (CVAI). impairment assessed using subject's work characteristic curve (ROC) analysis, optimal cut-off value, sensitivity, specificity area under (AUC) calculated. In addition, associations between severe (SCI) analyzed binary logistic regression models adjusted confounders such as age, blood pressure, chronic diseases improve robustness models. RESULTS: Among 8255 included, AUC values most ranged from 0.500 0.590, with limited overall power. Sex-stratified analysis showed that BMI (AUC=0.591), TyG-BMI (AUC=0.585), WC (AUC=0.569) had high value male group, while WWI (AUC=0.588), (AUC=0.572) performed relatively better. based best cutoff after adjusting diseases, among men, (OR=1.31, 95% CI: 1.12-1.54), (OR=1.21, 1.03-1.41), (OR=1.36, 1.16- 1.60), TyG-WC (OR=1.23, 1.06-1.44), TyG-WHtR (OR=1.19, 1.02-1.39), VAI (OR=1.25, 1.07-1.46) LAP (OR=1.24, 1.06-1.44) all significantly positively correlated SCI (p < 0.05). female (OR = 1.49, 1.26-1.76), 1.39, 1.17-1.65), 1.43, 1.21-1.69), 1.40, 1.19-1.66) 1.36, 1.16-1.61) likewise significant (P results indicated compared traditional single weight indicators, TyG-BMI, CVAI could reflect distribution, fat metabolic characteristics comprehensively, have higher application identification risk. CONCLUSION: This shows some prediction SCI. ROC alone, discriminatory ability. However, stratified controlling confounders, TyG-related independent groups. These which can comprehensively morphologic metabolism, are relevant people than indices. findings emphasize comprehensive indices be used screen at risk provide individualized management intervention. help promote inform future strategies.

Язык: Английский

Процитировано

0