Lipids in Health and Disease最新文献

Background: Rapid life rhythms have seen an increased participation in the weekend warrior pattern, but its impact on mortality risk in adults with metabolic dysfunction-associated steatotic liver disease (MASLD) is unclear. This investigation aims to explore the link between physical activity (PA) patterns, along with leisure-time and occupational physical activity (LTPA/OPA), as well as mortality in adults with MASLD.

Methods: This prospective cohort study employed data sourced from National Health and Nutrition Examination Survey (NHANES), and mortality data were collected through December 31, 2019. PA was self-reported and divided into four classifications: inactive, insufficiently active, weekend warrior, along with regularly active.

Results: Among 13,831 MASLD participants [mean (SD) age, 51.09 (16.63) years; 48.82% male], 1,191 deaths occurred in a median follow-up spanning 6.42 years. Compared to inactive participants, HR (95% CI) for all-cause mortality associated with LTPA and OPA were 0.66 (0.44 to 0.99) and 0.50 (0.30 to 0.84) in the weekend warriors, 0.63 (0.50 to 0.79) and 0.56 (0.43 to 0.72) in the insufficiently active, and 0.55 (0.43 to 0.71) and 0.62 (0.49 to 0.79) in the regularly active. Joint analyses revealed that LTPA and OPA had synergistic advantages in reducing the hazard of all-cause mortality with inactive group as the reference.

Conclusions: Adults engaging in active PA patterns - whether classified as insufficient, weekend warriors, or regularly active - exhibited lower all-cause mortality rates compared to inactive participants with MASLD. For those who can't adhere to daily exercise regimens, adopting a "weekend warrior" approach provides a practical and feasible strategy to curb the progression of MASLD and reduce the risk of premature mortality linked to it. Furthermore, public health guidelines should integrate both LTPA and OPA to achieve sustainable improvements in health outcomes across the population.

Objective: To investigate the associations between longitudinal body roundness index (BRI) trajectories and the risk of incident diabetes mellitus (DM) using data from the China Health and Retirement Longitudinal Study (CHARLS).

Methods: Group-based trajectory modeling (GBTM) identified distinct BRI trajectories (Waves 1-3, 2011-2016). Their associations with DM incidence (Wave 4, 2017-2018) were assessed using multivariate Cox models. The predictive performance of a single baseline BRI was compared with body mass index (BMI) and waist circumference (WC) via receiver operating characteristic (ROC) analysis. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) evaluated the incremental value of adding BRI trajectories to a conventional risk model. Subgroup and sensitivity analyses, including a landmark approach, assessed robustness.

Results: Among 4,150 participants, 103 developed DM. Three stable BRI trajectories were identified: low-stable (49.0%), moderate-stable (41.3%), and high-stable (9.7%). Compared with the low-stable group, the high-stable group had a significantly increased DM risk with a fully-adjusted hazard ratio (HR) of 2.63 (95% confidence interval [CI]: 1.41-4.91). A single baseline BRI showed comparable discrimination to BMI and WC (AUC ≈ 0.63). Longitudinal trajectories of BRI, BMI, and WC all identified high-stable subgroups with elevated risk (HRs: BRI = 2.63, BMI = 2.16, WC = 2.31), with overlapping confidence intervals. However, adding BRI trajectories to a conventional model significantly improved risk reclassification (NRI = 10.76%, 95% CI: 2.40-19.47) and discrimination (IDI = 0.27%, 95% CI: 0.03-0.52). Results were consistent across subgroups and sensitivity analyses.

Conclusions: Sustained high BRI exposure, captured by longitudinal trajectory modeling, is independently associated with increased DM risk. While BRI trajectories were not statistically superior to BMI or WC trajectories, the longitudinal framework itself adds value over single-time-point assessments by more robustly identifying individuals with persistent high adiposity-related risk, highlighting the utility of monitoring long-term body shape stability for early risk stratification.

Background: Lipemia is characterized by a milky appearance of plasma, which can be easily detected using an automated clinical chemistry analyzer. To date, few studies have evaluated the relationship between lipemia values and clinical test data other than lipid parameters. This study aimed to analyze the relationship among lipemia, clinical test data, and associated disorders.

Methods: This cross-sectional study examined 730 specimens from patients with and without lipemia who visited the Niigata University Medical and Dental Hospital in Japan. The participants were divided according to their lipemia index (LIP) into non- (< 1.5 LIP), low- (1.5-4.9 LIP), and high-lipemia (≥ 5.0 LIP) groups. Twenty-seven clinical analytes were analyzed, and their associations with the extent of lipemia were investigated using group comparisons, multinomial logistic regression, and correlation analyses. The prevalence of dyslipidemia and liver disease was also evaluated in the lipemic group.

Results: The lipemic group exhibited higher total cholesterol and triglyceride levels than the non-lipemia group (P < 0.01). The high-lipemia group demonstrated significantly higher median liver chemistries than the non-lipemia group: aspartate aminotransferase, 27 U/L (interquartile range [IQR], 22-35 U/L) vs. 23 U/L (IQR, 20-28 U/L); gamma-glutamyltransferase, 39 U/L (IQR, 26-79 U/L) vs. 24 U/L (IQR, 16-40 U/L) (P < 0.01). Individuals in the high-lipemia group had a higher complication rate of concomitant dyslipidemia and liver disease.

Conclusion: Lipemia was associated with elevated lipid metabolism-related parameters and liver chemistries. The LIP can be used to evaluate risks associated with liver disease and dyslipidemia.

Objective: The primary objective of this study is to assess the association between the Weight-Adjusted Waist Index (WWI) and Motoric Cognitive Risk (MCR) syndrome in the elderly Chinese population.

Methods: A cross-sectional design was employed, drawing upon data from the 2015 wave of the China Health and Retirement Longitudinal Study (CHARLS). The analytical sample consisted of 7,108 Chinese participants aged 60 and over, excluding individuals with a dementia diagnosis or significant mobility limitations. Multivariable logistic regression was utilized to assess the link between WWI and MCR. Additionally, restricted cubic splines (RCS) were applied to test for non-linearity, and piecewise regression was employed to identify specific cut-off values.

Results: The findings indicated a significant positive association between elevated WWI indices and the likelihood of developing MCR. Quantitatively, for every 1-unit increment in WWI (1 cm/√kg), the odds of MCR increased by 17% (adjusted OR = 1.17; 95% CI: 1.08-1.27; P < 0.001). Analysis using restricted cubic splines suggested a linear relationship (P for non-linearity = 0.2), indicating progressively higher risks of MCR above the threshold of 10.774 cm/√kg. Subgroup analyses demonstrated consistent associations across most categories, with a significant interaction noted in marital status (P for interaction = 0.034).

Conclusion: The association between WWI and MCR in older Chinese adults is both independent of other factors and largely linear in nature. Due to its simplicity and clinical accessibility, WWI is an effective tool for early risk stratification, which aids in timely interventions that promote healthy aging and reduce the burden of neurodegenerative diseases.