Neuroscience Department, Psychiatry Unit, University of Padua, Padua, Italy.
Padua University Hospital, Padua, Italy.
Epidemiol Psychiatr Sci. 2019 Feb 6;29:e14. doi: 10.1017/S204579601800077X.
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.
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.
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.
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.
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。
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。
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）。
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。
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