Nagel Gabriele, Peter Richard, Braig Stefanie, Hermann Silke, Rohrmann Sabine, Linseisen Jakob
Institute of Epidemiology, Ulm University, Ulm, Germany.
BMC Public Health. 2008 Nov 11;8:384. doi: 10.1186/1471-2458-8-384.
In aging populations, the prevalence of multimorbidity is high, and the role of socioeconomic status and its correlates is not well described. Thus, we investigated the association between educational attainment and multimorbidity in a prospective cohort study, taking also into account intermediate factors that could explain such associations.
We included 13,781 participants of the Heidelberg cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC), who were 50-75 years at the end of follow-up. Information on diet and lifestyle was collected at recruitment (1994-1998). During a median follow-up of 8.7 years, information on chronic conditions and death were collected.
Overall, the prevalence of multimorbidity (>= 2 concurrent chronic diseases) was 67.3%. Compared to the highest educational category, the lowest was statistically significantly associated with increased odds of multimorbidity in men (OR = 1.43; 95% CI 1.28-1.61) and women (OR = 1.33; 95% CI 1.18-1.57). After adjustment, the positive associations were attenuated (men: OR = 1.28; 95% CI 1.12-1.46; women: OR = 1.16; 95% CI 0.99-1.36). Increasing BMI was more strongly than smoking status an intermediate factor in the association between education and multimorbidity.
In this German population, the prevalence of multimorbidity is high and is significantly associated with educational level. Increasing BMI is the most important predictor of this association. However, even the fully adjusted model, i.e. considering also other known risk factors for chronic diseases, could not entirely explain socio-economic inequalities in multimorbidity. Educational level should be considered in the development and implementation of prevention strategies of multimorbidity.
在老龄化人口中,多种疾病并存的患病率很高,而社会经济地位及其相关因素的作用尚未得到充分描述。因此,我们在一项前瞻性队列研究中调查了教育程度与多种疾病并存之间的关联,同时考虑了可能解释这种关联的中间因素。
我们纳入了欧洲癌症与营养前瞻性调查(EPIC)海德堡队列的13781名参与者,他们在随访结束时年龄为50-75岁。在招募时(1994-1998年)收集了饮食和生活方式信息。在中位随访8.7年期间,收集了慢性病和死亡信息。
总体而言,多种疾病并存(≥2种并发慢性病)的患病率为67.3%。与最高教育类别相比,最低教育类别在男性(OR = 1.43;95%CI 1.28-1.61)和女性(OR = 1.33;95%CI 1.18-1.57)中与多种疾病并存几率增加具有统计学显著关联。调整后,正相关减弱(男性:OR = 1.28;95%CI 1.12-1.46;女性:OR = 1.16;95%CI 0.99-1.36)。在教育与多种疾病并存的关联中,体重指数增加比吸烟状况更是一个中间因素。
在这个德国人群中,多种疾病并存的患病率很高,且与教育水平显著相关。体重指数增加是这种关联的最重要预测因素。然而,即使是完全调整后的模型,即也考虑了其他已知的慢性病风险因素,也不能完全解释多种疾病并存中的社会经济不平等现象。在制定和实施多种疾病并存的预防策略时应考虑教育水平。