Korean J Community Nutr.  2013 Dec;18(6):588-598. 10.5720/kjcn.2013.18.6.588.

A study on Consumer's Needs for Development of Diet Guide Application for Pregnant Women

Affiliations
  • 1Department of Food Science and Human Nutrition, Research Institute of Human Ecology, Chonbuk National University, Jeonju, Korea.
  • 2Department of Science & Technology Education for Life, Seoul National University of Education, Seoul, Korea.
  • 3Department of Food and Nutrition, Korea National University of Transportation, Chungbuk, Korea.
  • 4Department of Agrofood Resources, NAAS, RDA, Suwon, Korea.
  • 5Department of Nutrition, Soonchunhyang University Bucheon Hospital, Korea.
  • 6Department of Food Sciences and Nutrition, Soonchunhyang University, Asan, Korea. soon56@sch.ac.kr

Abstract

This study was conducted to assess needs of educational mobile application (App) development for nutritional management and information on pregnant women. A total of 105 pregnant women were investigated on general characteristics, dietary habits, health behavior and needs for contents and composition of the application. The mean age of the subjects was 31.9 years and the mean gestation period was 25.4 weeks. The rate of skipping meal was 39.0% and the rate of irregular meal time was 46.6%. The consciousness of the meal as balanced nutrition and health was 19.9%. Eating out at least forth a week was 35.3%. Obtaining information about pregnancy and childbirth were internet (35.3%), hospital or health center (19.9%), books (17.1%), experience (15.2%), mobile (8.6%) and friends or acquaintances (4.8%). If the application is developed, subject replied 'frequently use' (51.4%), 'when needed' (47.6%) respectively. The favour topic in developing application were 'nutrition information of pregnant and fetal' (36.2%), 'weight management, feeding' (33.3%), 'food choice and cooking' (21.9%), 'shopping' (5.7%), 'example of menu' (1.9%), 'effect of smoking, drinking, exercising' (1.0%). The favorite content was 'include sufficient amount about information' (44.8%). Depending on the age and education level, the best age for pregnancy group have significantly higher ability for utilize and information gathering than old age pregnant group. Also the best age for pregnancy group have high demands of design, convenience and various contents in App development. Therefore, mobile application (App) for pregnant women could be widely used as an effective dietary guide.

Keyword

pregnant woman; dietary guidelines; application needs

MeSH Terms

Consciousness
Diet*
Drinking
Eating
Education
Female
Food Habits
Friends
Health Behavior
Humans
Internet
Meals
Parturition
Pregnancy
Pregnant Women*
Smoke
Smoking
Smoke

Cited by  3 articles

Analysis of Women's Concern about Pregnancy and Child Birth in the Internet Community
Sun Hwa Park, Min Soo Woo, Kyung Ja June, Jung ok Yu
Perspect Nurs Sci. 2020;17(1):49-60.    doi: 10.16952/pns.2020.17.1.49.

Comparing Nutrition Knowledge, Eating Habits, and Neonatal Health Status of Primipara for Pregnant Women of Advanced Maternal Age Compared to Those of Younger Ages
Sun-Ok Lee, Kyung-Yeon Park, Mi-Jung Han
Korean J Women Health Nurs. 2015;21(4):253-261.    doi: 10.4069/kjwhn.2015.21.4.253.

A comparative study on nutritional knowledge and dietary behavior between Korean and Chinese postpartum women
Sohyun Kim, Heewon L Gray, Jia Li, Haeryun Park, Youngmi Lee, Kyunghee Song
Nutr Res Pract. 2019;13(6):535-542.    doi: 10.4162/nrp.2019.13.6.535.


Reference

1. Abu-Saad K, Fraser D. Maternal nutrition and birth outcomes. Epidemiol Rev. 2010; 32:5–25.
2. Ahn HS, Lee YM, Oh Yj. Perception and service needs about nutrition education of pregnant and lactating -to compare with pregnant and lactating women, health specialist and college women. Korean J Community Nutr. 2006; 11(3):327–337.
3. Cho JH, Kim SB, Kim SK, Kim MH, Kim GS, Kim SN, Kim SY, Kim JW. Development of 'children's food avatar' application for dietary education. Korean J Community Nutr. 2013; 18(4):299–311.
4. Choi BS, Lee IS, Shin JJ, Lim WK, Park MH. Factors affecting dietary & nutrients intake during the first, second, and third trimesters and pregnancy outcome. Korean J Diet Cult. 2001; 16(3):203–214.
5. Choi HM. Nutrition in pregnancy. Korean J Obstet Gynecol. 2008; 51(5):481–491.
6. Choi JH, Han HJ, Hwang JH, Chung SR, Moon HM, Moon IP, Cha KJ, Choi HS, Oh JE. Meta analysis of clinical studies of pregnancy and delivery in elderly gravida. Korean J Obstet Gynecol. 2006; 49(2):293–308.
7. Christian P, Khatry SK, Katz J, Pradhan EK. Effects of alternative maternal micronutrient supplements on low birth weight in rural Nepal: double blind randomized community trial. BMJ. 2003; 326(7389):571–576.
8. Gartner. Gartner says android to become No. 2 worldwide mobile operating system in 2010 and challenge symbian for No. 1 position by 2014. 2010. cited 2010 September 1. Available from http://gartner.com/it/page.jsp?id=1434613.
9. Han JS, Jeong JH. A web-based internet program for nutritional counseling and diet management of patient with diabetes mellitus. J Korean Soc Food Sci Nutr. 2004; 33(1):114–122.
10. Han YS, Lee SS. Association of nutrient intake and pregnancy outcome with gestational weight gain. Korean J Nutr. 2010; 43(2):141–151.
11. Health Insurance Review and Assessment Service. Evaluation and follow up report on cesarean section in Korea. 2009.
12. Ibrahim M, Forsyth S. Nutritional interactions between mother and fetus. Pract Midwife. 2002; 5(10):10–17.
13. Joung HJ, Choi BS, Chin JJ, Yoon SD, Yoon H. The dietary intake of pregnant women in Daegu area. Korean J Community Nutr. 2003; 8(4):538–546.
14. Kim IS. A nutrition survey and development of supplemental programs for women, infants and children. Daegu University;2007. 6. MS thesis.
15. Kim JE, Park DY. A study on the actual conditions and needs for nutrition education for pregnal women in health center. Korean J Community Living Sci. 2007; 18(4):687–698.
16. Kim YJ, Ryou HJ, Nam HJ, Min YH, Park HR. Development and assessment of maternal and child nutrition educationmaterials for health center use. J Korean Diet Assoc. 2004; 10(4):428–441.
17. Korea Internet and Security Agency. Analysis for domestic customers of internet service. 2012. cited 2013 June 9. Available from http://www.kisa.or.kr/notice/pressView.jsp?mode=view&pNo=8&bNo=8&bNo=1040.
18. Korea National Statistical Office. Annual report on the trend of death and birth statistics 2010. Seoul: 2011. cited 2012 september 20. Available from http://kosis.kr/statisticsList/statisticsList01List.jsp?vwcd=MT ZTITLE&parmTabid=M0101.
19. Koo J, Choi K. Status and needs for nutrition services for infants and preschoolers among public health center workers and infants mothers. Korean J Community Nutr. 2001; 6(3):354–360.
20. Lee KH, Her ES. A Study on the Development of a computer-assisted program for elementary school foodservice(I). Korean J Community Nutr. 2000; 5(2):208–216.
21. Lee SL, Chang YK. A study of health related factors and food habits during pregnancy of full-term and preterm delivery. J Korean Diet Assoc. 2008; 14(1):77–86.
22. Lhm JH, Kim HW, Kim YS. A study of the monthly weight gains of noncomplicated pregnancies. Korean J Perinatol. 2002; 13(2):135–140.
23. Moon JY, Hahn WH, Shin KS. Changes of maternal age distribution in live births and incidence of low birth weight infants in advanced maternal age group in Korea. Korean J Perinatol. 2011; 22(1):30–36.
24. Park JC, Hwang DG, Park KS, Lim KA. Design and implamentation of diabetes management system based in PDA in the wireless internet enviroment. J Korea Academic-Industrial Cooperation Soc. 2007; 8(6):1513–1518.
25. Park JH, Kim SB, Cho KH, Choue RW. Maternal nutritional status at the end of pregnancy, and correlation among pregnancy weight gain, birth weight and serum leptin levels. Korean J Nutr. 2006; 39(5):467–475.
26. Siega-Riz AM, Herrmann TS, Savitz DA, Thorp JM. Frequency of eating during pregnancy and its effect on preterm delivery. Am J Epidemiol. 2001; 153(7):647–652.
27. Seo YM, Lee YJ. Analysis of educational smartphone applications and mobile educational services trends. J Korean Assoc Comput Educ. 2010; 14(2):9–13.
28. Shin SY. A study on the effect of personal characteristics and the innovative service characteristics of Smartphones on receptive attitude. Hong-Ik University;2010. 1–48. MS thesis.
29. Swensen AR, Harnack LJ, Ross JA. Nutritional assessment of pregnant women enrolled in the special supplemental program for women, infants and children (WIC). J Am Diet Assoc. 2001; 101(8):903–908.
30. Szwajcer EM, Hiddink GJ, Koelen MA. Nutrition awareness and pregnancy: Implications for the life course perspective. Eur J Obstet Gynecol Reprod Biol. 2007; 135:58–64.
31. Thame M, Wilks RJ, McFarlane-Anderson N. Relationship between maternal nutritional status and infant's weight and body proportions at birth. Eur J Clin Nutr. 1997; 51(3):134–138.
32. Verbeke W, De Boudeaudhuij I. Dietary behavior of pregnant versus non pregnant women. Appetite. 2007; 48:78–86.
33. Williamson CS. Nutrition in pregnancy. Nutr Bull. 2006; 31:28–59.
34. Woo HK, Cho YT. 'Smart Health', Leading a Change to Healthy Life : Policy Issues. Health Welf Policy Forum. 2013; 199:70–81.
35. Yu CH. A study on the fat and fatty acid intake of college women evaluated throuhg internet nutritional assessment system. Korean J Nutr. 2007; 40(1):78–88.
Full Text Links
  • KJCN
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr