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. 2020 Feb 18;18(1):31.
doi: 10.1186/s12955-020-01293-4.

Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model

Soheila Ansarzadeh  1 , Leili Salehi  2   3 , Zohreh Mahmoodi  4 , Abolfazl Mohammadbeigi  5
Affiliations

Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model

Soheila Ansarzadeh et al. Health Qual Life Outcomes. .

Abstract

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.

Keywords: Gestational diabetes; Iran; Path analysis; Quality of life.

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Conflict of interest statement

The authors declare that there is not any conflict of interest.

Figures

Fig. 1
Fig. 1
: Proposed path analysis model. Proposal path analysis model of age, BMI, SS (Social support), DIS(distress), KNOW(knowledge), ATT(attitude), SE (Self efficacy), SM (Self-Management) and Qol in patients with gestational diabetes
Fig. 2
Fig. 2
Initial Path Analysis model (based on t-value). Initial path analysis model of age, BMI, knowledge, social support, distress, self efficacy, attitudes, self-management, and QoL in women with gestational diabetes.
Fig. 3
Fig. 3
Final Path analysis model. Final path analysis model of age, BMI, knowledge, distress, social support, attitude, self-efficacy, self-management, and QoL in women with gestational diabetes
See this image and copyright information in PMC

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