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Background The growing prevalence of chronic kidney disease (CKD) presents a substantial public health issue. Furthermore, the continuous advancements in lipid-lowering strategies and medications highlight the ongoing importance of the correlation between remnant cholesterol (RC) and CKD. This study aims to investigate the link between RC and CKD risk, particularly focusing on the interplay between low-density lipoprotein cholesterol (LDL-C) and RC. Methods This cross-sectional study included 7747 participants in wave 2009 of the China Health and Nutrition Survey which has been in progress since 1989. We enrolled 7747 individuals in the present study from the China Health and Nutrition Survey, with exclusion criteria applied to individuals under 18 and pregnant participants. CKD was defined as eGFR < 60 mL/min/1.73 m2, following the Kidney Disease: Improving Global Outcomes (KDIGO) 2012 Clinical Practice Guideline. A logistic regression analysis was conducted to assess the associations between discordant/concordant levels of LDL-C and RC with CKD. Subsequently, a mediation analysis was performed to identify potential mediators. Results Within the clinical cohort of 7747 patients, 910 individuals (11.8%) were diagnosed with CKD, with RC levels categorized into quartiles. Logistic analysis revealed significant associations between elevated RC levels and the prevalence of CKD (OR 1.30, 95% CI 1.06–1.60 for Group 2; OR 1.49, 95% CI 1.22–1.83 for Group 3; and OR 1.33, 95% CI 1.08–1.63 for Group 4). The results of restricted cubic splines (RCS) analysis suggested an “inverted U-shaped” association of RC with CKD. The analysis of discordant/concordant grouping showed that participants in Group 2 (high LDL-C/low RC) and Group 3 (low LDL-C/high RC) were associated with an increased risk for CKD. The odds ratios were 2.35 (95% CI 1.83–3.03) for Group 2 and 1.51 (95% CI 1.14–2.01) for Group 3, compared to Group 1 (low LDL-C/low RC). Causal mediation analysis indicated that inflammation partially mediated the association between RC and CKD. Conclusions This study presented evidence of a non-linear relationship between RC and CKD, suggesting that the association was influenced by LDL-C levels and mediated by the pro-inflammatory state.
Background The growing prevalence of chronic kidney disease (CKD) presents a substantial public health issue. Furthermore, the continuous advancements in lipid-lowering strategies and medications highlight the ongoing importance of the correlation between remnant cholesterol (RC) and CKD. This study aims to investigate the link between RC and CKD risk, particularly focusing on the interplay between low-density lipoprotein cholesterol (LDL-C) and RC. Methods This cross-sectional study included 7747 participants in wave 2009 of the China Health and Nutrition Survey which has been in progress since 1989. We enrolled 7747 individuals in the present study from the China Health and Nutrition Survey, with exclusion criteria applied to individuals under 18 and pregnant participants. CKD was defined as eGFR < 60 mL/min/1.73 m2, following the Kidney Disease: Improving Global Outcomes (KDIGO) 2012 Clinical Practice Guideline. A logistic regression analysis was conducted to assess the associations between discordant/concordant levels of LDL-C and RC with CKD. Subsequently, a mediation analysis was performed to identify potential mediators. Results Within the clinical cohort of 7747 patients, 910 individuals (11.8%) were diagnosed with CKD, with RC levels categorized into quartiles. Logistic analysis revealed significant associations between elevated RC levels and the prevalence of CKD (OR 1.30, 95% CI 1.06–1.60 for Group 2; OR 1.49, 95% CI 1.22–1.83 for Group 3; and OR 1.33, 95% CI 1.08–1.63 for Group 4). The results of restricted cubic splines (RCS) analysis suggested an “inverted U-shaped” association of RC with CKD. The analysis of discordant/concordant grouping showed that participants in Group 2 (high LDL-C/low RC) and Group 3 (low LDL-C/high RC) were associated with an increased risk for CKD. The odds ratios were 2.35 (95% CI 1.83–3.03) for Group 2 and 1.51 (95% CI 1.14–2.01) for Group 3, compared to Group 1 (low LDL-C/low RC). Causal mediation analysis indicated that inflammation partially mediated the association between RC and CKD. Conclusions This study presented evidence of a non-linear relationship between RC and CKD, suggesting that the association was influenced by LDL-C levels and mediated by the pro-inflammatory state.
Background Healthy lifestyle behaviors among postmenopausal women are important to prevent chronic diseases and improve health later in life. Heterogeneous lifestyle patterns may exist among postmenopausal women, and socioeconomic status (SES) is a critical determinant of lifestyle behaviors. However, little is known about distinct SES-specific patterns of lifestyle behaviors among postmenopausal women. Thus, this study used latent class analysis to identify subgroups of postmenopausal women with different health behaviors according to income and to examine the predictors of income-specific subgroups. Methods We analyzed nationally representative data from the Eighth Korea National Health and Nutrition Examination Survey, collected in 2019 and 2020. We used nine lifestyles (i.e., current smoking and drinking, high-risk drinking, walking, muscle-strengthening exercise, sleep, vegetable and fruit intakes, and weight control efforts). We conducted a multiple-group latent class analysis using monthly household income as a proxy for SES. The monthly household income variable was calculated by standardizing monthly household income by the number of family members and then divided into quintiles. We classified the participants into low- (i.e., Q1 and Q2) and high-income (i.e., Q3, Q4, and Q5) groups. Results Although the three-class models best fit the data of low- and high-income groups, we found differential patterns by income: (a) for low-income group, “relatively healthy (RH),” “lowest physical activity, insufficient fruit intake, and no intention to control weight,” and “high-risk drinking and insufficient fruit intake” classes and (b) for high-income group, “RH,” “lowest physical activity,” “high-risk drinking and insufficient fruit intake and sleep” classes. The proportion of the RH class was largest in both groups. However, lifestyle patterns in low-income group showed multiple and unhealthy characteristics than those in high-income group. Conclusions This study suggests that different underlying lifestyle patterns exist in postmenopausal women with low- and high-income. To promote healthy behaviors among postmenopausal women, health professionals should develop and apply lifestyle interventions tailored to lifestyle pattern characteristics according to income.
Objective: This study aims to discuss the association between physical activity and the risk of depression using cross-sectional and longitudinal data respectively, in order to determine whether physical activity serves as a protective or risk factor for depression. Methods: A total of 3,564 eligible middle-aged and elderly individuals from the China Health and Retirement Longitudinal Study (CHARLS) were included. Cross-sectional data from 2020 were analyzed to examine the dose-response relationship between physical activity and depression. Group-based trajectory model was used to identify trajectories of physical activity from 2011 to 2020, and multivariable logistic regression was employed to analyze the association between physical activity trajectories and depression symptoms in 2020. Results: 1) Cross-sectional analysis revealed a U-shaped relationship between physical activity level and depression risk. 2) Longitudinal analysis of physical activity demonstrated that compared to the low-stable group (Group A), the moderate-stable group (Group B) had the lowest risk of depression, with a 47% decrease in risk (odds ratio [OR] 0.53, 95% confidence interval [CI] 0.39-0.71, P < 0.001), while the highest-stable group (Group E) had the highest risk of depression, with a 37% increase in risk (OR 1.37, 95% CI 1.02-1.82, P = 0.033). 3) The protective effect of physical activity trajectories was significant in both male and female groups, while the harmful effect was only significant in the female group. Conclusion: Physical activity serves as both a protective factor and a risk factor for depression prevention in middle-aged and elderly Chinese populations. Both men and women can benefit from long-term moderate physical activity, but women are more susceptible to the harmful effects of excessive physical activity. Adequate physical activity is an effective measure for preventing depression, while early reduction of excessive physical activity may also be beneficial.
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