摘要
目的探究孕妇焦虑抑郁症状各节点之间的关系,并分析症状间的交互作用。方法采用便利抽样的方法,对某三级甲等医院产科产检的妊娠妇女使用一般资料调查问卷、广泛性焦虑量表(GAD-7)、病人健康问卷抑郁量表(PHQ-9)进行问卷调查,评价被调查对象的焦虑、抑郁水平,根据孕妇焦虑与抑郁症状间的关系构建网络,进行网络分析。结果1742例研究对象中,有焦虑情绪问题者476例(27.3%),抑郁情绪290例(16.6%),焦虑抑郁共病(CAD)218例(12.5%)。单因素分析结果显示,孕妇的年龄、受教育程度、职业、孕周、孕期睡眠情况、孕期锻炼情况、是否饮酒、是否了解孕期知识、是否计划内妊娠、居住环境、夫妻关系、公婆关系、父母关系在是否患有CAD上差异有统计学意义(均P<0.05);在孕妇焦虑抑郁症状网络中,节点PHQ2(感到心情低落、沮丧或绝望)与GAD6(变得容易烦恼或易被激怒)、PHQ8(行动或说话速度缓慢或变得比平日更烦躁、坐立不安)以及GAD5(非常焦躁,以致无法静坐)之间的边权重均为0.27。PHQ2的中介性(Bet)为2.648,接近性(Clo)为1.785,强度(Str)为1.439,预期影响度(Exp)为1.439。结论节点PHQ2与GAD6、PHQ8与GAD5相关性最强;节点PHQ2在整个网络中对其他症状影响较大,是该网络的核心症状,更多地参与症状间互动,具有预测其他症状的作用。以节点PHQ2为干预靶点,制定有效的治疗方案,为深入了解孕期焦虑与抑郁症状的关联机制及其临床意义提供新的思路。
Objective To explore the relationship between the nodes of anxiety and depression symptoms in pregnant women,and to analyze the interaction between these symptoms.Methods A convenient sampling method was used to evaluate the level of anxiety and depression among pregnant women who underwent antenatal check-up in the obstetric examination in a GradeⅢA hospital.Data were collected using the General Data Questionnaire,the Generalized Anxiety Disorder Scale(GAD-7),and the Patient Health Questionnaire Depression Scale(PHQ-9).Based on the relationship between anxiety and depressive symptoms in pregnant women,a network was constructed and analyzed.Results Among the 1742 subjects,476(27.3%)had anxiety,290(16.6%)had depression,and 218(12.5%)had anxiety and depression comorbidities.The univariate analysis revealed statistically significant differences in various factors such as age,education level,occupation,gestational week,sleep status during pregnancy,exercise status during pregnancy,drinking,knowledge of pregnancy,planned pregnancy,living environment,husband-wife relationship,parent-in-law relationship and parental relationship had statistically significant differences in whether they had CAD(all P<0.05).In the network of anxiety and depression symptoms,the edge weight between node PHQ2(feeling down,depressed,or hopeless)and GAD6(becoming easily annoyed or irrita-ble),PHQ8(slowed speech or movement,or becoming more restless and fidgety than usual),as well as GAD5(being so restless that it is difficult to sit still)was 0.27.The centrality measures of PHQ2 were as follows:betweenness(Bet)=2.648,closeness(Clo)=1.785,strength(Str)=1.439,and expected influence(Exp)=1.439.Conclusion Node PHQ2 has the strongest correlation with GAD6,PHQ8,and GAD5,with an edge weight of 0.27.PHQ2 has a significant impact on other symptoms within the network,making it the core symptom of the network.It is more involved in symptom interactions and plays a role in predicting other symptoms.Targeting PHQ2 as an intervention point can help develop effective treatment strategies,providing new insights into the association between perinatal anxiety and depressive symptoms,as well as their clinical significance.
作者
巴合达娜·塞力克
孟维翠
王晓婷
苏菲拉·沙拉依丁
姜婷
Bahedana Sailike;Meng Weicui;Wang Xiaoting;Sufeila Shalayiding;Jiang Ting(School of Public Health,Xinjiang Medical University,Urumqi 830017)
出处
《安徽医科大学学报》
北大核心
2025年第6期1091-1098,共8页
Acta Universitatis Medicinalis Anhui
基金
国家自然科学基金(编号:82360669)
人口健康与优生安徽省重点实验室项目(编号:JKYS20231)
新疆维吾尔自治区“十四五”高等学校特色学科-公共卫生与预防医学项目(编号:新教函[2022]112号)
新疆医科大学公共卫生学院研究生创新项目(编号:CXCYGW2025005)。
关键词
孕妇
焦虑
抑郁
共病
网络分析
pregnant women
anxiety
depression
comorbidity
network analysis
