Moderate drinking benefits cognitive health in middle-aged and older Chinese: A latent class growth model analysis based on CHARLS

Abstract

While alcohol use among older population is linked to various health risks, recent studies indicate potential benefits from moderate consumption, highlighting a contentious debate regarding its impact on health in this demographic. This study aims to identify distinct trajectories of alcohol use among middle-aged and older adults in China and examine their associations with multidimensional health outcomes, including cardiovascular, cognitive, and psychological health. This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), tracking a sample of 10,927 participants (54.33 % female; mean age = 57.61, SD = 8.95) through five waves of data collection. Latent Class Growth Modeling (LCGM) was employed to analyze alcohol use trajectories. Health outcomes were assessed through self-reported health measures and clinical data including lipoprotein levels. Four distinct alcohol use trajectories were identified: Moderate (6.3 %), Decreasing (11.0 %), Increasing (6.9 %), and Constantly Low (75.8 %). The Moderate trajectory was associated with significant higher cognitive scores compared to Increasing (p = .027) and Constantly Low group (p = .012). Moreover, higher levels of high density lipoprotein were linked with the Increasing and Decreasing trajectories, suggesting a protective cardiovascular effect. The findings highlight the complexity of alcohol use behaviors among older adults in China and underscore the need for targeted health interventions. Understanding the nuanced impacts of different drinking patterns on multidimensional health outcomes can aid in developing more effective public health strategies and clinical practices tailored to the needs of aging populations. Further research is recommended to explore the causal relationships and long-term health impacts of these trajectories.