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中国妊娠期糖尿病患者饮食干预依从性的影响因素:基于COM-B模型的定性研究

Factors Influencing Adherence to Dietary Interventions Among Patients with Gestational Diabetes Mellitus in China: A Qualitative Study Based on the COM-B Model.

作者信息

Jia Cai-Li, Wang Li-Jun, Li Li-Hong, Lu Ya-Juan, Yang Yue

机构信息

Department of Gynecology and Obstetrics, Civil Aviation General Hospital, Beijing, People's Republic of China.

Nursing Department, Civil Aviation General Hospital, Beijing, People's Republic of China.

出版信息

J Multidiscip Healthc. 2025 Aug 5;18:4653-4663. doi: 10.2147/JMDH.S529029. eCollection 2025.

Abstract

OBJECTIVE

Gestational diabetes mellitus (GDM) is a frequent complication during pregnancy, which can cause many adverse effects on mother and baby. Although existing literatures have found that patients with gestational diabetes can benefit from adhering to dietary interventions, many pregnant women exhibit low dietary intervention compliance, leading to unsatisfactory blood glucose control. The qualitative research study aimed to identify the influencing factors of dietary intervention compliance among pregnant women with GDM using the capability, opportunity, motivation, and behavior (COM-B) model.

METHODS

Pregnant women with gestational diabetes who received regular antenatal care were purposefully recruited from the obstetric clinic of a tertiary general hospital in Beijing, China. The face-to-face semi-structured interviews were used to collect data; Guided by the COM-B model, the directed content analysis was used to analyze data.

RESULTS

Nineteen women from a great variety of socio-demographic backgrounds participated in this study. The average age of the participants was 32.26±4.58 years, the average gestational age of them was 36.03±1.75 weeks. 73.69% of them have a bachelor's degree or above in education level, 68.42% of participants were primipara. 52.63% of them had a normal weight, 26.32% were obesity, 15.79% were overweight, only 5.26% were underweight. In total, more than 80% of participants had no history of GDM in prior pregnancy or a family history of type 2 diabetes (T2DM), and 42.11% of participants received insulin treatment. Eight themes (6 barriers and 2 facilitators) were mapped onto the COM-B model representing influencing factors of dietary intervention compliance among GDM pregnant women. The facilitators included high trust in professional support and a positive perception of dietary management benefits. The barriers were lack of pregnancy nutritional knowledge, insufficient knowledge and skills in dietary management, limited support from family members, low disease risk perception, negative experiences with dietary interventions, and low self-efficacy in dietary management. The results will provide basis and reference for the development of diet intervention for pregnant women with gestational diabetes.

CONCLUSION

Our findings underscore the importance for healthcare professionals to strengthen support and guidance of dietary behavior for patients with gestational diabetes in China. Additionally, our findings highlight the need for clinical healthcare professionals to take measures that strengthen the self-efficacy and involve family members in supporting dietary modifications in China.

摘要

目的

妊娠期糖尿病(GDM)是孕期常见并发症,会对母婴造成诸多不良影响。尽管现有文献表明,妊娠期糖尿病患者坚持饮食干预可获益,但许多孕妇饮食干预依从性较低,导致血糖控制不理想。本定性研究旨在运用能力、机会、动机和行为(COM - B)模型,确定妊娠期糖尿病孕妇饮食干预依从性的影响因素。

方法

在中国北京一家三级综合医院的产科门诊,有目的地招募定期接受产前检查的妊娠期糖尿病孕妇。采用面对面半结构式访谈收集数据;以COM - B模型为指导,采用定向内容分析法分析数据。

结果

19名来自不同社会人口背景的女性参与了本研究。参与者的平均年龄为32.26±4.58岁,平均孕周为36.03±1.75周。73.69%的参与者教育程度为本科及以上,68.42%的参与者为初产妇。52.63%的参与者体重正常,26.32%为肥胖,15.79%为超重,只有5.26%为体重过轻。总体而言,超过80%的参与者既往妊娠无妊娠期糖尿病病史或2型糖尿病(T2DM)家族史,42.11%的参与者接受胰岛素治疗。八个主题(6个障碍和2个促进因素)被映射到COM - B模型上,代表妊娠期糖尿病孕妇饮食干预依从性的影响因素。促进因素包括对专业支持的高度信任和对饮食管理益处的积极认知。障碍包括缺乏孕期营养知识、饮食管理知识和技能不足、家庭成员支持有限、疾病风险认知低、饮食干预负面经历以及饮食管理自我效能低。研究结果将为制定妊娠期糖尿病孕妇的饮食干预措施提供依据和参考。

结论

我们的研究结果强调了中国医疗保健专业人员加强对妊娠期糖尿病患者饮食行为支持和指导的重要性。此外,我们的研究结果凸显了中国临床医疗保健专业人员采取措施增强自我效能并让家庭成员参与支持饮食调整的必要性。

相似文献

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Lifestyle interventions for the treatment of women with gestational diabetes.生活方式干预治疗妊娠期糖尿病女性
Cochrane Database Syst Rev. 2017 May 4;5(5):CD011970. doi: 10.1002/14651858.CD011970.pub2.

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