Suppr超能文献

基于 Osteoarthritis Initiative 数据库队列的北美老年骨关节炎或有骨关节炎风险人群的抑郁症状、人口统计学、营养、生活质量和医疗状况因素之间关系的网络分析。

Network analysis of the relationship between depressive symptoms, demographics, nutrition, quality of life and medical condition factors in the Osteoarthritis Initiative database cohort of elderly North-American adults with or at risk for osteoarthritis.

机构信息

Neuroscience Department, Psychiatry Unit, University of Padua, Padua, Italy.

Padua University Hospital, Padua, Italy.

出版信息

Epidemiol Psychiatr Sci. 2019 Feb 6;29:e14. doi: 10.1017/S204579601800077X.

Abstract

AIMS

A complex interaction exists between age, body mass index, medical conditions, polypharmacotherapy, smoking, alcohol use, education, nutrition, depressive symptoms, functioning and quality of life (QoL). We aimed to examine the inter-relationships among these variables, test whether depressive symptomology plays a central role in a large sample of adults, and determine the degree of association with life-style and health variables.

METHODS

Regularised network analysis was applied to 3532 North-American adults aged ⩾45 years drawn from the Osteoarthritis Initiative. Network stability (autocorrelation after case-dropping), centrality of nodes (strength, M, the sum of weight of the connections for each node), and edges/regularised partial correlations connecting the nodes were assessed.

RESULTS

Physical and mental health-related QoL (M = 1.681; M = 1.342), income (M = 1.891), age (M = 1.416), depressive symptoms (M = 1.214) and education (M = 1.173) were central nodes. Depressive symptoms' stronger negative connections were found with mental health-related QoL (-0.702), income (-0.090), education (-0.068) and physical health-related QoL (-0.354). This latter was a 'bridge node' that connected depressive symptoms with Charlson comorbidity index, and number of medications. Physical activity and Mediterranean diet adherence were associated with income and physical health-related QoL. This latter was a 'bridge node' between the former two and depressive symptoms. The network was stable (stability coefficient = 0.75, i.e. highest possible value) for all centrality measures.

CONCLUSIONS

A stable network exists between life-style behaviors and social, environmental, medical and psychiatric variables. QoL, income, age and depressive symptoms were central in the multidimensional network. Physical health-related QoL seems to be a 'bridge node' connecting depressive symptoms with several life-style and health variables. Further studies should assess such interactions in the general population.

摘要

目的

年龄、体重指数、身体状况、多种药物治疗、吸烟、饮酒、教育、营养、抑郁症状、功能和生活质量(QoL)之间存在复杂的相互作用。我们旨在检查这些变量之间的相互关系,检验抑郁症状是否在大量成年人群体中起着核心作用,并确定与生活方式和健康变量的关联程度。

方法

使用正则化网络分析对来自骨关节炎倡议的 3532 名年龄≥45 岁的北美成年人进行分析。评估了网络稳定性(病例删除后的自相关)、节点中心性(强度,M,每个节点连接权重的总和)和连接节点的边/正则化偏相关。

结果

身体和心理健康相关的 QoL(M=1.681;M=1.342)、收入(M=1.891)、年龄(M=1.416)、抑郁症状(M=1.214)和教育(M=1.173)是中心节点。抑郁症状与心理健康相关的 QoL(-0.702)、收入(-0.090)、教育(-0.068)和身体心理健康相关的 QoL(-0.354)之间存在更强的负相关。后者是一个“桥梁节点”,将抑郁症状与 Charlson 合并症指数和药物数量联系起来。体育活动和地中海饮食依从性与收入和身体心理健康相关的 QoL 相关。后者是前者两者与抑郁症状之间的“桥梁节点”。对于所有中心度测量,网络都是稳定的(稳定性系数=0.75,即最高可能值)。

结论

生活方式行为与社会、环境、医疗和精神变量之间存在一个稳定的网络。QoL、收入、年龄和抑郁症状是多维网络中的中心。身体心理健康相关的 QoL 似乎是将抑郁症状与多个生活方式和健康变量联系起来的“桥梁节点”。进一步的研究应该在一般人群中评估这些相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40f0/8061212/1ec4cd1ebfaa/S204579601800077X_fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验