■生活方式因素,包括不适当的饮食模式,成为慢性病的关键决定因素。除了照顾病人,护士也应在监测和管理自己的健康方面发挥积极作用。了解护士的饮食行为和管理自己的健康之间的错综复杂的关系是至关重要的,培养一个整体的方法,以医疗保健。因此,我们的研究旨在评估罗马尼亚社区护士样本中饮食行为和影响慢性病患病率的人口统计学因素。
■在2023年10月至11月之间,邀请了1920名社区护士回答在线调查,在他们的专业网络中使用广告。其中,788回答在调查中,其中包括53个食物项目的半定量食物频率问卷,直观饮食调查2(IES-2),和人口统计项目被使用。
■建立了多变量模型,用于预测饮食行为与其他与慢性病相关的因素之间的关联。大多数参与者是女性(95.1%),最大的年龄组在40至49.9岁之间(48.2%)。关于EFSA的碳水化合物和脂肪摄入充足的标准,20.2%的人摄入大量的碳水化合物,分别,该组的43.4%的脂肪摄入量高。对慢性疾病的分析表明,24.9%的人报告了至少一个医生的诊断。慢性病的存在与感知的健康状况水平低有关,OR=3.388,95CI(1.684-6.814),与那些报告良好或非常好的感知健康状况的人相比。高应激的OR=1.483,95CI(1.033-2.129)。BMI的OR=1.069,95CI(1.032-1.108),而低碳水化合物饮食评分的OR=0.956,95CI(0.920-0.992).性别和IES-2对模型没有显著贡献,但其效果得到了控制.
■通过解开营养之间复杂的相互作用,生活方式,以及这个医疗保健队列中的健康结果,我们的发现有助于制定针对性的干预措施和支持计划,以提高社区护士的福祉,通过延伸,他们支持的病人。
Lifestyle factors, including inadequate eating patterns, emerge as a critical determinant of chronic disease. Apart from caring for patients, nurses should also take an active role in monitoring and managing their own health. Understanding the intricate relationship between nurses\' eating behavior and managing their own health is crucial for fostering a holistic approach to healthcare, therefore our study aimed to evaluate eating behavior and demographic factors influencing chronic disease prevalence in a sample of community nurses from Romania.
Between October-November 2023, 1920 community nurses were invited to answer an online survey, using an advertisement in their professional network. Of them, 788 responded. In the survey, which included a semi-quantitative food frequency questionnaire with 53 food items, the Intuitive Eating Survey 2 (IES-2), and demographic items were used.
A multivariate model was built for the prediction of the association between eating behavior and other factors associated with chronic diseases. The majority of participants were females (95.1%), with the largest age group falling between 40 and 49.9 years (48.2%). Regarding the EFSA criteria for adequate carbohydrate and fat intake, 20.2% of the group have a high intake of carbohydrates, respectively, 43.4% of the group have a high intake of fat. Analysis of chronic diseases indicated that 24.9% of individuals reported at least one diagnosis by a physician. The presence of chronic disease was associated with a low level of perceived health status, with an OR = 3.388, 95%CI (1.684-6.814), compared to those reporting excellent or very good perceived health status. High stress had an OR = 1.483, 95%CI (1.033-2.129). BMI had an OR = 1.069, 95%CI (1.032-1.108), while low carbohydrate diet score had an OR = 0.956, 95%CI (0.920-0.992). Gender and IES-2 did not significantly contribute to the model, but their effect was controlled.
By unraveling the intricate interplay between nutrition, lifestyle, and health outcomes in this healthcare cohort, our findings contribute valuable insights for the development of targeted interventions and support programs tailored to enhance the well-being of community nurses and, by extension, the patients they support.