Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and sarcopenia: evidence from CHARLS DOI Creative Commons
Changbo Sun, Honggang Jiang, Hongmei Zhu

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

Recent studies have highlighted an association between lipid disorders and sarcopenia. The role of the non-high-density lipoprotein cholesterol to high-density ratio (NHHR) has not been explored among Chinese adults. This study aimed investigate NHHR incident sarcopenia in population. included a total 4,046 participants aged 50 years older without history sarcopenia, from China Health Retirement Longitudinal Study (CHARLS). A multivariate logistic regression model restricted cubic spline were used Subgroup sensitivity analyses conducted assess robustness findings. 309 (7.6%) newly diagnosed with 2015 wave. Participants highest quartile (≥3.99) had significantly lower adjusted odds for (OR = 0.40; 95% CI, 0.280.58; p < 0.001) compared those lowest (<2.24). Restricted analysis revealed nonlinear relationship risk (p nonlinearity <0.05). In piecewise models, OR was 0.65 (95% 0.550.78, <4.4, whereas no significant correlation observed ≥ 4.4. No interactions found age, sex, hypertension, or diabetes stratified interaction >0.05). There is inverse higher associated below inflection point, beyond which longer risk.

Language: Английский

Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and sarcopenia: evidence from CHARLS DOI Creative Commons
Changbo Sun, Honggang Jiang, Hongmei Zhu

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

Recent studies have highlighted an association between lipid disorders and sarcopenia. The role of the non-high-density lipoprotein cholesterol to high-density ratio (NHHR) has not been explored among Chinese adults. This study aimed investigate NHHR incident sarcopenia in population. included a total 4,046 participants aged 50 years older without history sarcopenia, from China Health Retirement Longitudinal Study (CHARLS). A multivariate logistic regression model restricted cubic spline were used Subgroup sensitivity analyses conducted assess robustness findings. 309 (7.6%) newly diagnosed with 2015 wave. Participants highest quartile (≥3.99) had significantly lower adjusted odds for (OR = 0.40; 95% CI, 0.280.58; p < 0.001) compared those lowest (<2.24). Restricted analysis revealed nonlinear relationship risk (p nonlinearity <0.05). In piecewise models, OR was 0.65 (95% 0.550.78, <4.4, whereas no significant correlation observed ≥ 4.4. No interactions found age, sex, hypertension, or diabetes stratified interaction >0.05). There is inverse higher associated below inflection point, beyond which longer risk.

Language: Английский

Citations

0