Intervention effect of health nutrition model based on digital management on patients with gestational diabetes mellitus
10.3760/cma.j.cn211501-20240327-00698
- VernacularTitle:基于数字化管理的健康营养模式对妊娠期糖尿病患者的干预效果
- Author:
He LIU
1
;
Haiyan BIAN
1
;
Qian GAO
1
;
Dan CHEN
1
;
Xiaowei LIU
1
;
Fengwen LI
1
;
Qian WANG
1
Author Information
1. 廊坊市人民医院产科，廊坊 065000
- Publication Type:Journal Article
- Keywords:
Diabetes, gestational;
Digital management;
Healthy nutrition model;
Blood sugar;
Pregnancy outcome
- From:
Chinese Journal of Practical Nursing
2025;41(5):321-326
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the intervention effect of health nutrition model based on digital management on patients with gestational diabetes mellitus, and to provide reference for blood sugar control and pregnancy outcome improvement of gestational diabetes mellitus.Methods:Using a randomized controlled study method, totally 80 cases of gestational diabetes mellitus admitted to Langfang People's Hospital from October 2021 to March 2023 were prospectively selected and randomly divided into control group and experimental group according to the random number table method, with 40 cases in each group. The control group was given routine management, and the experimental group was combined with the health nutrition model based on digital management on this basis. Both groups began to intervene after the diagnosis of gestational diabetes mellitus, and the intervention lasted until one week before the patient's expected delivery. Follow-up to delivery. The delivery mode, weight gain during pregnancy, insulin use during pregnancy, pregnancy outcome and neonatal outcome of the two groups were statistically analyzed. The blood glucose level of the two groups before and after intervention were compared.Results:The age of the control group was 20-31 (26.25 ± 1.98) years old, while the age of the experimental group was 20-33 (25.93 ± 2.11) years old. The cesarean section rate in the experimental group was 32.50% (13/40), which was lower than that in the control group (57.50%, 23/40) ( χ2=5.05, P<0.05). The weight gain during pregnancy in the experimental group was (6.03 ± 0.89) kg, which was lower than (7.93 ± 1.36) kg in the control group ( t=7.39, P<0.05). After intervention, the levels of serum glycosylated hemoglobin, fasting blood glucose and 2 h postprandial blood glucose in the two groups were lower than those before intervention, and those in the experimental group were (5.19 ± 0.54) %, (4.98 ± 0.49) mmol/L, (6.04 ± 1.15) mmol/L, which were lower than (5.67 ± 0.75) %, (5.37 ± 0.54) mmol/L, (7.16 ± 1.36) mmol/L in the control group ( t=3.28, 3.42, 3.96, all P<0.05). The proportion of macrosomia in the experimental group was 2.50% (1/40), which was lower than 20.00% (8/40) in the control group ( χ2=4.51, P<0.05). The experimental group had no abnormal pregnancy outcome and neonatal outcome respectively as 92.50% (37/40) and 92.50% (37/40), which were 70.00% (28/40) and 57.50% (23/40) in the control group, their difference was statistically significant ( χ2=6.65, 13.07, both P<0.05). Conclusions:The application of health nutrition model based on digital management to intervene in patients with gestational diabetes could effectively improve their blood glucose control effect, improve pregnancy outcome and neonatal outcome, and hada good intervention effect.
