Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxue Road, Chengdu, 610041, China.
Department of Liver Surgery and Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Sci Rep. 2024 Mar 6;14(1):5516. doi: 10.1038/s41598-024-55566-9.
The aim of this study was to evaluate the association between lifestyle profile and disease incidence/mortality in patients with non-alcoholic fatty liver disease (NAFLD). Lifestyle profiles ascertainment was based on the latent profile analysis. The associations of lifestyle profile and outcomes were analyzed by multivariate logistic or Cox regressions. Four lifestyle profiles (profile 1 and 2 for male, profile 3 and 4 for female) were established for all participants. Compared to profile 1, profile 2 (P = 0.042) and profile 3 (P = 0.013) had lower incidence for NAFLD. In contrast, profile 4 showed similar NAFLD prevalence compared to profile 1 (P = 0.756). Individuals with NAFLD within profile 3 had the best long-term survival, and the HR was 0.55 (95% CI 0.40-0.76) for all-cause mortality (compared to profile 1). Profile 4 (P = 0.098) and profile 2 (P = 0.546) had similar all-cause survival compared to profile 1. We explored the associations of healthy lifestyle score with mortality and incidence of NAFLD stratified by lifestyle profiles. We observed that with the increase of healthy lifestyle score, participants within profile 2 did not display lower NAFLD incidence and better long-term survival in NAFLD cases. In this study, lifestyle profiles were constructed in NHANES participants. The distinct lifestyle profiles may help optimize decision-making regarding lifestyle management in preventing NAFLD development, as well as selection of a more personalized approach for improving NAFLD survival.
本研究旨在评估非酒精性脂肪性肝病(NAFLD)患者生活方式特征与疾病发病率/死亡率之间的关联。通过潜在剖面分析确定生活方式特征。通过多变量逻辑回归或 Cox 回归分析生活方式特征与结局的关系。为所有参与者确定了四种生活方式特征(男性的特征 1 和 2,女性的特征 3 和 4)。与特征 1 相比,特征 2(P=0.042)和特征 3(P=0.013)的 NAFLD 发病率较低。相比之下,特征 4 与特征 1 的 NAFLD 患病率相似(P=0.756)。特征 3 中的 NAFLD 患者具有最佳的长期生存,全因死亡率的 HR 为 0.55(95%CI 0.40-0.76)(与特征 1 相比)。特征 4(P=0.098)和特征 2(P=0.546)与特征 1 的全因生存率相似。我们根据生活方式特征探讨了健康生活方式评分与死亡率和 NAFLD 发病率的关系。我们观察到,随着健康生活方式评分的增加,特征 2 中的参与者在 NAFLD 病例中并没有降低 NAFLD 的发病率和改善长期生存。在这项研究中,构建了 NHANES 参与者的生活方式特征。不同的生活方式特征可能有助于优化预防 NAFLD 发展的生活方式管理决策,以及选择更个性化的方法来改善 NAFLD 的生存。