Ding Jie, Schöttker Ben, Brenner Hermann, Hoffmeister Michael
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany.
Int J Cancer. 2025 Jul 24. doi: 10.1002/ijc.70064.
Numerous simple lifestyle scores have been developed for specific non-communicable diseases (NCDs). This research aimed to investigate and compare the associations of various lifestyle scores with the incidence and mortality of NCDs. In 76,399 participants from the UK Biobank, we investigated the associations of 13 lifestyle scores with the incidence and mortality of cancer, cardiovascular disease (CVD), type 2 diabetes (T2D), and a composite of these NCDs. Cox proportional-hazards regression models were used to estimate hazard ratios (HRs) for associations between lifestyle scores and NCD outcomes. During a median follow-up time of 10.5 years, 12,214 incident NCD cases and 2250 NCD deaths were documented. Higher lifestyle scores were generally associated with a reduced risk of overall NCDs (HRs ranging from 0.65 to 0.89) and NCD mortality (0.51-0.92). Cancer (HRs ranging from 0.72 to 0.98) and CVD (0.55-0.87) risk were less dependent on lifestyle behaviors than T2D (0.18-0.74). Notably, the top three scores associated with cancer outcomes included smoking as a component, and those for T2D included body mass index (BMI). For overall NCD outcomes, lifestyle scores including both smoking and BMI showed the strongest associations. Healthy Lifestyle Score and the Chronic Disease Risk Index were the overall best-performing scores to predict NCD risk and mortality. These findings suggest that the use of lifestyle scores designed for a single disease group can be extended for predicting multiple NCDs and mortality. Both smoking and BMI should be included in lifestyle scores aiming to predict overall NCD risk and mortality for future research and recommendations.
针对特定非传染性疾病(NCDs),已经开发出了许多简单的生活方式评分。本研究旨在调查和比较各种生活方式评分与非传染性疾病的发病率和死亡率之间的关联。在来自英国生物银行的76399名参与者中,我们研究了13种生活方式评分与癌症、心血管疾病(CVD)、2型糖尿病(T2D)以及这些非传染性疾病的综合发病率和死亡率之间的关联。使用Cox比例风险回归模型来估计生活方式评分与非传染性疾病结局之间关联的风险比(HRs)。在中位随访时间10.5年期间,记录了12214例新发非传染性疾病病例和2250例非传染性疾病死亡病例。较高的生活方式评分通常与总体非传染性疾病风险降低(HRs范围为0.65至0.89)和非传染性疾病死亡率降低(0.51 - 0.92)相关。与糖尿病(0.18 - 0.74)相比,癌症(HRs范围为0.72至0.98)和心血管疾病(0.55 - 0.87)的风险对生活方式行为的依赖性较小。值得注意的是,与癌症结局相关的前三项评分中包括吸烟,而与2型糖尿病相关的评分中包括体重指数(BMI)。对于总体非传染性疾病结局,包括吸烟和BMI的生活方式评分显示出最强的关联。健康生活方式评分和慢性病风险指数是预测非传染性疾病风险和死亡率的总体表现最佳的评分。这些发现表明,为单一疾病组设计的生活方式评分可扩展用于预测多种非传染性疾病和死亡率。吸烟和BMI都应纳入旨在预测未来研究和建议中的总体非传染性疾病风险和死亡率的生活方式评分中。