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Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model.
Health and Quality of Life Outcomes ( IF 3.2 ) Pub Date : 2020-02-18 , DOI: 10.1186/s12955-020-01293-4
Soheila Ansarzadeh 1 , Leili Salehi 2, 3 , Zohreh Mahmoodi 4 , Abolfazl Mohammadbeigi 5
Affiliation  

BACKGROUND Quality of life (QoL) is the most important indicator for assessing the status of health care in chronic diseases. The present study aimed to determine the pathway determinants model of QoL in patients with gestational diabetes mellitus (GDM). METHODS This cross-sectional study was conducted on 329 women with GM referred to health care centers in Qom, Iran during 2018. Convenience sampling methods was used. Inclusion criteria were: afflicted by GM and received pregnancy care services from health center. Several questionnaires (Knowledge, attitude, self-efficacy (SE), social support (SS), pregnancy distress, self-management(SM) and QoL) were used for data collection. Data were analyzed with SPSS-21 and Lisrel-8.8 software using statistical path analysis. RESULTS The mean age of participants was 30.93 ± 5.42 years. The final path model fitted well (CFI =1, RMSEA = 0.0003) and showed that, only age variable from both direct and indirect path had an impact on QoL (B = 0.51). Among variables that directly affected the QoL, SS had the highest effect (B = 1.02) and SE (B = 0.01) had the lowest effect. In the indirect path, only the knowledge variable by affecting the SE had an impact on the QoL (B = 0.0045). CONCLUSION SS had the greatest impact on the QoL. Obviously, providing all the requirements to support patients can help them overcome problems and improve their QoL. Distress negatively affects the QoL through SM and it should be noticed in interventional studies.

中文翻译:

影响妊娠糖尿病妇女生活质量的因素:路径分析模型。

背景技术生活质量(QoL)是评估慢性病中医疗保健状况的最重要指标。本研究旨在确定妊娠糖尿病(GDM)患者的QoL通路决定因素模型。方法这项横断面研究是在2018年期间对329名转基因女性在伊朗库姆的医疗中心进行的。该研究采用了便利性抽样方法。入选标准为:受转基因困扰并从健康中心获得妊娠护理服务。收集了一些问卷(知识,态度,自我效能感(SE),社会支持(SS),妊娠困扰,自我管理(SM)和生活质量(QoL))。使用统计路径分析,使用SPSS-21和Lisrel-8.8软件分析数据。结果参与者的平均年龄为30.93±5.42岁。最终路径模型拟合得很好(CFI = 1,RMSEA = 0.0003),结果表明,仅来自直接路径和间接路径的年龄变量都对QoL有影响(B = 0.51)。在直接影响QoL的变量中,SS的效果最高(B = 1.02),而SE的效果最低(B = 0.01)。在间接途径中,只有通过影响SE的知识变量才对QoL产生影响(B = 0.0045)。结论SS对QoL的影响最大。显然,提供所有支持患者的要求可以帮助他们克服问题并改善他们的QoL。遇险会通过SM对QoL产生负面影响,在干预研究中应注意这一点。SS效果最高(B = 1.02),SE效果最低(B = 0.01)。在间接途径中,只有通过影响SE的知识变量才对QoL产生影响(B = 0.0045)。结论SS对QoL的影响最大。显然,提供所有支持患者的要求可以帮助他们克服问题并改善他们的QoL。窘迫通过SM对QoL产生负面影响,在干预研究中应注意这一点。SS效果最高(B = 1.02),SE效果最低(B = 0.01)。在间接途径中,只有通过影响SE的知识变量才对QoL产生影响(B = 0.0045)。结论SS对QoL的影响最大。显然,提供所有支持患者的要求可以帮助他们克服问题并改善他们的QoL。窘迫通过SM对QoL产生负面影响,在干预研究中应注意这一点。
更新日期:2020-02-18
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