METHODS: Our study analyzed data from the Health Information National Trends Survey 5, a nationwide survey by the National Cancer Institute. Using standardized scales and questions, we examined cardiometabolic disease outcomes, lifestyle factors, and socioeconomic status of non-institutionalized civilians aged 18 + in the US. We analyzed the data using structural equation modelling.
RESULTS: Our findings show that socioeconomic status and lifestyle significantly predict cardiometabolic disease outcomes. However, our analysis did not support lifestyle as the primary mediating factor in the association between socioeconomic status and cardiometabolic diseases, suggesting that other factors may significantly influence this relationship.
CONCLUSIONS: Cardiometabolic diseases require lifestyle and structural interventions addressing socioeconomic factors. Policymakers must consider multifaceted factors to prevent, detect, and manage these diseases effectively and equitably.
方法:我们的研究分析了健康信息国家趋势调查5的数据,这是美国国家癌症研究所的一项全国性调查。使用标准化的量表和问题,我们检查了心脏代谢疾病的结果,生活方式因素,以及美国18岁以上非制度化平民的社会经济地位。我们使用结构方程模型对数据进行了分析。
结果:我们的研究结果表明,社会经济地位和生活方式显著预测心脏代谢疾病的结局。然而,我们的分析不支持生活方式作为社会经济地位和心脏代谢疾病之间关联的主要调节因素,这表明其他因素可能会显著影响这种关系。
结论:心脏代谢疾病需要针对社会经济因素的生活方式和结构性干预措施。政策制定者必须考虑多方面因素,检测,并有效和公平地管理这些疾病。