Yushan Lan

Background: Pregnancy is a pivotal phase in a woman’s life, demanding special attention to ensure maternal and fetal health. Prenatal education plays a vital role in promoting healthy pregnancies and reducing adverse outcomes for pregnant women. Mobile prenatal education programs have gained traction due to their accessibility and timeliness, especially in light of finite health care resources and the constraints imposed by the COVID-19 pandemic. Objective: This study aims to develop and evaluate the effectiveness of a mobile-based prenatal education program in improving pregnancy outcomes. Methods: We developed a mobile-based prenatal education curriculum in collaboration with a multidisciplinary maternal care team from Peking Union Medical College Hospital (PUMCH) in Beijing, China. Data were retrospectively collected from 1941 pregnant women who had registered for the PUMCH mobile prenatal education program and subsequently delivered at PUMCH between May 2021 and August 2022. The study compared pregnancy outcomes between the completing group, which were pregnant women who had completed at least 1 course, and the noncompleting group. We also analyzed differences among course topics within the completing group and assessed course topic popularity among pregnant women. Results: The PUMCH mobile prenatal education curriculum consists of 436 courses across 9 topics. Out of the participants, a total of 1521 did not complete any courses, while 420 completed at least 1 course. Compared with the noncompleting group, pregnant women who completed courses exhibited a significant reduction in the risk of gestational diabetes mellitus, induced abortion, postpartum infection, fetal intrauterine distress, and neonatal malformation. Among those in the completing group, a total of 86% (361/420) started course completion during the first and second trimesters. Furthermore, completing courses related to topics of pregnancy psychology and pregnancy nutrition was associated with reduced risks of premature rupture of membranes and small for gestational age infants, respectively. Pregnancy psychology and postpartum recovery were the preferred topics among pregnant women. Conclusions: The study demonstrates the potential of mobile-based prenatal education programs in improving pregnancy outcomes and supporting health care providers in delivering effective prenatal education. The rise of mobile prenatal education presents an opportunity to improve maternal and child health outcomes. Further research and broader implementation of such programs are warranted to continually improve maternal and child health.

BACKGROUND Pregnancy is a pivotal phase in a woman’s life, demanding special attention to ensure maternal and fetal health. Prenatal education plays a vital role in promoting healthy pregnancies and reducing adverse outcomes for pregnant women. Mobile prenatal education programs have gained traction due to their accessibility and timeliness, especially in light of finite health care resources and the constraints imposed by the COVID-19 pandemic. OBJECTIVE This study aims to develop and evaluate the effectiveness of a mobile-based prenatal education program in improving pregnancy outcomes. METHODS We developed a mobile-based prenatal education curriculum in collaboration with a multidisciplinary maternal care team from Peking Union Medical College Hospital (PUMCH) in Beijing, China. Data were retrospectively collected from 1941 pregnant women who had registered for the PUMCH mobile prenatal education program and subsequently delivered at PUMCH between May 2021 and August 2022. The study compared pregnancy outcomes between the completing group, which were pregnant women who had completed at least 1 course, and the noncompleting group. We also analyzed differences among course topics within the completing group and assessed course topic popularity among pregnant women. RESULTS The PUMCH mobile prenatal education curriculum consists of 436 courses across 9 topics. Out of the participants, a total of 1521 did not complete any courses, while 420 completed at least 1 course. Compared with the noncompleting group, pregnant women who completed courses exhibited a significant reduction in the risk of gestational diabetes mellitus, induced abortion, postpartum infection, fetal intrauterine distress, and neonatal malformation. Among those in the completing group, a total of 86% (361/420) started course completion during the first and second trimesters. Furthermore, completing courses related to topics of pregnancy psychology and pregnancy nutrition was associated with reduced risks of premature rupture of membranes and small for gestational age infants, respectively. Pregnancy psychology and postpartum recovery were the preferred topics among pregnant women. CONCLUSIONS The study demonstrates the potential of mobile-based prenatal education programs in improving pregnancy outcomes and supporting health care providers in delivering effective prenatal education. The rise of mobile prenatal education presents an opportunity to improve maternal and child health outcomes. Further research and broader implementation of such programs are warranted to continually improve maternal and child health.

Background: Dietary monitoring is critical to maintaining human health. Social media platforms are widely used for daily recording and communication for individuals’ diets and activities. The textual content shared on social media offers valuable resources for dietary monitoring. Objective: This study aims to describe the development of iFood, an applet providing personal dietary monitoring based on social media content, and validate its usability, which will enable efficient personal dietary monitoring. Methods: The process of the development and validation of iFood is divided into four steps: Diet datasets construction, diet record and analysis, diet monitoring applet design, and diet monitoring applet usability assessment. The diet datasets were constructed with the data collected from Weibo, Meishijie, and diet guidelines, which will be used as the basic knowledge for further model training in the phase of diet record and analysis. Then, the friendly user interface was designed to link users with backend functions. Finally, the applet was deployed as a WeChat applet and 10 users from the Beijing Union Medical College have been recruited to validate the usability of iFood. Results: Three dietary datasets, including User Visual-Textual Dataset, Dietary Information Expansion Dataset, and Diet Recipe Dataset have been constructed. The performance of 4 models for recognizing diet and fusing unimodality data was 40.43%(dictionary-based model), 18.45%(rule-based model), 59.95%(Inception-ResNet-v2), and 51.38% (K-nearest neighbor), respectively. Furthermore, we have designed a user-friendly interface for the iFood applet and conducted a usability assessment, which resulted in an above-average usability score. Conclusions: iFood is effective for managing individual dietary behaviors through its seamless integration with social media data. This study suggests that future products could utilize social media data to promote healthy lifestyles.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Dietary management is vital for maintaining human health. Social media platforms are widely used for daily recording and communication for individual’s diets, activities, and emotions. These social media texts and images are valuable resources for dietary management. Objective: We developed, iFood, an applet providing personal dietary management based on social media data. The seamless connection between iFood and social media enabled the personal diet record and manage efficiently. Methods: We developed iFood with 7 key components: the social media data collector, the diet information collector, the diet image identifier, the text extractor, the visual-textual data integrator, the nutrient calculator, and the dietary reports generator. The social media data collector and the diet information collector were used to collect diet texts, images, user information, and diet-related information to construct User Visual-Textual Dataset, Dietary Information Expansion Dataset, and Diet Recipe Dataset. To extract diet entity from diet text, multiple named entity identification methods were applied as the text extractor. Images of diets were recognized using the diet image identifier. The diet identification findings under the unimodality data were fused using the visual-textual data integrator. Nutrient calculator was used to calculate the nutrients intake of user using data from the Diet Recipe Dataset and the Chinese Food Composition (including energy, carbohydrate, protein, and fat). Additionally, we developed a WeChat applet as the dietary reports generator to analyze and display outcomes of diet management across several dimensions, such as food records, diet preferences, diet behaviors, nutrients content, etc. Results: We collected social media data from the Weibo platform, which included 105,227 dietary textual records and 407,133 diet images from 96 Weibo users. 1,286 diets images and information were obtained. Applying machine learning algorithms, we integrated the identification results of diet texts and images, the accuracy of the visual-textual integrator after being trained on the aforementioned dataset is 51.38%. Furthermore, we displayed the nutrient intake, distribution of diet categories, and daily, weekly, monthly, and yearly diet records via iFood applet. Conclusions: We developed a social media based dietary management applet, iFood. It was demonstrated to be useful for personal dietary record and management with efficient connection with individual social media data and accurate analysis of individual’s dietary behavior. This study may prompt utilization of the social media data for achieving a healthy lifestyle.

BACKGROUND Dietary management is critical to maintaining human health. Social media platforms are widely used for daily recording and communication for individuals’ diets, activities, and emotions. These social media texts and images are valuable resources for dietary management. OBJECTIVE We developed iFood, an applet providing personal dietary management based on social media data. The seamless connection between iFood and social media enabled the efficient personal dietary management. METHODS We developed iFood, which consists of 7 key components: a social media data collector, a diet information collector, a diet image identifier, a text extractor, a visual-textual data integrator, a nutrient calculator, and a dietary report generator. These components were used to collect data, extract diet entities, recognize diet, fuse unimodality data, calculate nutrient intake, and generate dietary reports via a WeChat applet. RESULTS We obtained 105,227 dietary textual records and 407,133 diet images from 96 users on Weibo. After applying machine learning algorithms to integrate the identification results of texts and images, we obtained 1,286 diets images and information with the visual-textual integrator accuracy of 51.38%. Nutrient intake, diet category distribution, and diet records were displayed through the iFood applet on a daily, weekly, monthly, and yearly basis. CONCLUSIONS Our research involved the creation of a dietary management application called iFood, which is based on social media. We conducted experiments to evaluate the efficacy of this app in maintaining personal dietary management. Our results show that iFood is an effective tool for managing individual dietary behaviors through its seamless integration with social media data and accurate analysis capabilities. This study suggests that future products could utilize social media data to promote healthy lifestyles. CLINICALTRIAL