1.Maternal and infant health literacy and health education needs among rural pregnant and lying-in women in Guian New Area
Dan HE ; Yan ZHU ; Yun LU ; Wanya HE ; Huiling QIN
Journal of Preventive Medicine 2022;34(12):1283-1288
Objective:
To investigate the level of maternal and infant health literacy and its influencing factors among rural pregnant and lying-in women in Guian New Area, Guiyang City, so as to provide insights into maternal and infant health education.
Methods:
All pregnant and lying-in women included in health management in township hospitals of Guian New Area from October to December 2021 were selected using a stratified cluster random sampling method. Participants' basic features, maternal and infant health literacy and health education needs were collected using electronic questionnaires, and factors affecting maternal and infant health literacy were identified among pregnant and lying-in women using unconditioned multivariable logistic regression model.
Results:
A total of 918 valid questionnaires were recovered, and the participants included 325 pregnant women (35.40%), 823 married women (89.65%), 466 women with an educational level of junior high school and below (50.76%), 847 rural household registration (92.27%), 695 women with monthly family income of 3 200 Yuan and less (75.71%), and 267 women with maternal and infant health literacy (29.08%). Multivariable logistic regression analysis identified pluripara (OR=3.418, 95%CI: 1.689-6.919), educational level (diploma, OR=2.901, 95%CI: 1.230-6.842; bachelor and above, OR=6.282, 95%CI: 2.548-15.489), household monthly income per capita (3 201-5 000 Yuan, OR=2.373, 95%CI: 1.499-3.757; 5 001 Yuan and more, OR=7.752, 95%CI: 3.072-19.558), a disease history (OR=3.045, 95%CI: 1.175-5.406), use of maternal and child health manuals (OR=1.881, 95%CI: 1.345-2.632) and emphasizing health education (OR=1.735, 95%CI: 1.122-2.463) as factors promoting for the level of maternal and infant health literacy. In addition, pregnant and lying-in women's major maternal and infant health education needs included infant growth and development knowledge (745 women, 81.15%), management of common infant diseases (719 women, 78.32%), daily infant nursing (651 women, 70.92%) and infant nutrition and feeding (646 women, 70.37%).
Conclusions
The level of maternal and infant health literacy is low among rural pregnant and lying-in women in Guian New Area, and there is a high demand for health education. High attention should be paid to rural pregnant and lying-in women with a low educational level, low incomes, and primipara.
2.Cross sectional, surveillance and longitudinal study of poor visual acuity in Gui an New Distinct of Guizhou Province
HE Wanya, ZHU Yan, TANG Xin, QIN Huiling, CAI Jinghui, NIE Ying
Chinese Journal of School Health 2023;44(2):291-294
Objective:
To understand the development trend of poor vision among primary students through cross sectional, surveillance and longitudinal analysis, so as to put forward some suggestions on adolescents growth and health.
Methods:
Visual data of 3 753 pupils were inclucled for analysis from Gui an New Distinct, Guizhou Province in autumn semester 2021, and were compared with data collected during the year of 2016-2021. The curve, increment and contribution rate of poor vision from each grade of the three designs were contrasted.
Results:
In 2021, poor vision rate among pupils in this town was 25.6%. The curve of poor vision rate in cross sectional data was U shaped with significant rise followed by decline which was different from monitoring and longitudinal tracking data, and the trend of poor vision rate of monitoring and longitudinal tracking data were linear with continued increases. The cross sectional data in 2021 showed that the highest contribution rate of poor vision rate of pupils was in grade 1(87.0% ), while other data showed that those were both in grade 4(45.0%, 33.9%).
Conclusion
The accuracy of the development trend of poor vision is lowest in cross sectional analysis and highest in longitudinal analysis. However, data acquisition and preservation is easy in cross sectional study and difficult in longitudinal study. It is necessary to improve the electronic information system based on cross sectional data to gradually form a complete monitoring and longitudinal tracking data, and combine different data to provide more accurate information.