多囊卵巢综合征患者体象水平现状及影响因素分析
Current status and influencing factors of body image level in patients with Polycystic Ovary Syndrome
柴佩珊 1韩文萍 1韩慧琴 2郝丽敏 1孙桥 1李敏 1曹艳行1
作者信息
- 1. 山西医科大学汾阳学院,032200 山西省汾阳市
- 2. 山西省汾阳医院妇科
- 折叠
摘要
目的:调查多囊卵巢综合征患者体象水平现状并分析其影响因素,为临床实施针对性干预提供参考.方法:采用一般资料调查问卷、体象水平量表、D型人格量表、自我客体化信念与行为量表、领悟社会支持量表,于2022 年 6月至 2023 年 8月对在山西省某三级甲等医院就诊的 213 例多囊卵巢综合征患者进行调查,采用多元线性回归分析患者体象水平的影响因素.结果:多囊卵巢综合征患者体象水平得分为11.00(8.00,14.00)分.年龄、生育史、每日媒体使用时长、BMI、痤疮评级、Ludwig脱发分级、mFG体毛评分、D型人格、自我客体化信念与行为、领悟社会支持是患者体象水平的影响因素,可解释总变异的 73.9%.结论:多囊卵巢综合征患者体象水平处于中等水平,医护人员应根据相关影响因素制定针对性干预策略,以改善患者体象状态.
Abstract
Objective:To investigate the current status of body image level in patients with Polycystic Ovary Syndrome and analyze its influencing factors,to provide reference for the implementation of targeted interventions in clinical.Methods:A total of 213 patients with Polycystic Ovary Syndrome who were admitted to a tertiary hospital in Shanxi province from June 2022 to August 2023 were investigated using the general information questionnaire,Body Image Scale,Type D Personality Scale-14,Self-Objectification Beliefs and Behaviors Scale,and Perceived Social Support Scale.The influencing factors of the patients'body image level were analyzed using multiple linear regression analysis.Results:The body image level score of patients with Polycystic Ovary Syndrome was 11.00(8.00,14.00).Regression analysis showed that age,reproductive history,time spent in magazines and media,BMI,acne rating,Ludwig alopecia grade,mFG body hair score,type D personality,self-objectification beliefs and behaviors,and perceived social support were the influencing factors of the patients'body image level,explaining 73.9%of the total variation.Conclusion:The body image level of patients with Polycystic Ovary Syndrome is at a moderate level,and healthcare professionals should develop targeted intervention strategies to improve the patients'body image status according to their characteristics.
关键词
多囊卵巢综合征/体象/社会支持/D型人格/影响因素Key words
Polycystic Ovary Syndrome/body image/social support/type D personality/influencing factor引用本文复制引用
出版年
2024
NETL
NSTL
万方数据