Effect of Using Education Program via Social Media on Dietary Behavior and Physical Activity among Pregnancy Women

Main Article Content

Pattra Suwannato
Piyanut Xuto
Bungorn Supavititpatana


     This study was a pseudo-randomized controlled trial using multiple time series design with measurement before, during, and after the trial. Research objectives were: 1) to compare the average levels of dietary behavior and physical activity in week 9 among pregnant women in the intervention group and the control group; and 2) to compare the average levels of dietary behavior and physical activity in weeks 1, 5 and 9 among pregnant women in the intervention group (education program via social media). The sample comprised 44 pregnant women (20 to 34 years of age, with normal pre-pregnant BMI (18.5-24.9 kg/m2) and greater gestational weight
gain than recommended at 18 to 20 weeks; all received pregnancy care at Rajavithi Hospital. Instruments were: (1) the education program via social media including a set of messages along with a dietary behavior and physical activity manual for pregnant women; (2) Data Record Form; (3) a set of Dietary Behavior and Physical Activity questionnaires during pregnancy. Data were analyzed using descriptive statistics, one-way repeated ANOVA, and independent t-test.
Results of the study were as follows: 1. The average scores of the intervention group on dietary behavior and physical activity
were significantly higher than the control group (p<.001). 2. At week 9, the dietary behavior and physical activity average scores of the intervention
group were statistically significantly higher than the control group (p<.001). 3. At week 1, 5 and 9 the dietary behavior and physical activity average scores of the
intervention group were statistically significantly different (p<.001). 4. The average scores at week 9 were greater than week 5 and week 1 respectively
(p<.001); and the average scores at week 5 were higher than week 1 (p<.001).


Download data is not yet available.

Article Details

How to Cite
Suwannato, P., Xuto, P., & Supavititpatana, B. (2020). Effect of Using Education Program via Social Media on Dietary Behavior and Physical Activity among Pregnancy Women . Journal of Health and Nursing Research (Journal of Boromarajonani College of Nursing, Bangkok), 36(1), 177-190. Retrieved from https://he01.tci-thaijo.org/index.php/bcnbangkok/article/view/242748
Research articles


1. Institute of Medicine. Weight gain during pregnancy: reexamining the guidelines. Washington DC: The national academics press; 2009.

2. Walter JR, Perng W, Kleinman KP, Rifas SL,Rich JW, Oken E. Associations of trimester-specific gestational weight gain with maternal adiposity and systolic blood pressure at 3 and 7 years postpartum. AM J Obstet Gynecol 2015;212:499e1-12.

3. Villamor E, Cnattingius S.Interpregnancy weight change and risk of adverse pregnancy outcomes: A population-base study. Lancet 2006;368:1164-70.

4. Nohr AE, Vaeth M, Baker LJ, Sorensen IT, Olsen J, Rasmussen MK.Combined associations of prepregnancy body mass index and gestational weight gain with the outcome of pregnancy. The American Journal Clinical Nutrition 2008;87:1750-9.

5. Kiel DW, Dodson EA, Artal R, Boehmer TK, Leet TL. Gestational weight gain and pregnancy outcomes in obese women. Obstetrics and Gynaecology 2007;110(4): 752-8.

6. Li N, Liu E, Guo J, Pan J, Li B, Wang P, et al.Maternal prepregnancy body mass index and gestational weight gain on pregnancy outcomes. Plos one 2013 8(12):1-7.

7. Siega-Riz MA, Deierlein A, Stuebe A. Implementation of the new institute of medicine gestational weight gain guidelines. Journal of midwifery & woman’s health 2010;55(6):512-9.

8. Nehring I, Schmoll S, Beyerlein A, Hauner H, Kries VR. Gestational weight gain and long-term postpartum weight retention: a meta-analysis. American Society for Nutrition. 2011;94(5):1225-31.

9. Haugen M, Brantsaeter AL, Winkvist A, Lissner L, Alexander J, Oftedal B, et al. Associations of pre-pregnancy body mass index and gestational weight gain with pregnancy outcome and postpartum weight retention: A prospective observational cohort study. Biomed central Pregnancy and Childbirth 2014;14(201):1-11

10. Srikasem T. Effects of pregnanct weight on pregnancy outcomes. Buddhachinaraj Medical Journal 2011;28(2):191-9. (in Thai).

11. Cogswell ME, Scanlon KS, Fein SB, Schieve LA. Medically advised, mother’s personal target, and actual weight gain during pregnancy. Obstetrics and Gynaecology 1999;94(4):616-22.

12. Danpradit P, Kittichotpanich B. The factors influence on weight gain of pregnant women who attended antenatal care clinic at government hospitals in Bangkok. Vajira Medical Journal 2003;47(3):117-87. (in Thai).

13. Harris ST, Liu J, Wilcox S, Moran R, Gallagher A. Exercise during pregnancy and its association with gestational weight gain. Maternal and Child Health Journal 2014;19(3): 528-37.

14. Shin D, Bianchi L, Chung H, Weatherspoon L, Song OW. Is gestational Weight gain associated with diet quality during pregnancy. Maternal Child Health Journal 2014;18(1):1433-43.

15. Sakunrad Ch. Food consumtion behaviors in pregnancy. Buddhachinaraj Medical Journal 2012;29(1):180-9. (in Thai).

16. Santad S, Suntornmesatean S. Health promoting behavior among pregnant women. Nursing Science Journal of Thailand 2006;24(2):12-21.

17. Saksirinukul R, Piravej K. Study of patterns, attitudes, and the effects of exercise during pregnancy in Thai pregnant women. Journal Thai Rehabil 2003;12(3):106-12. (in Thai).

18. Jantradee B, Serisathien Y, Phahuwatanakorn W. Predictive Factors of gestational weight gain Journal of The Royal Thaii Army Nurses 2016;15(2):339-47. (in Thai).

19. Coomes MC, Lewis AM, Uhring DJ, Furberg DR, Harris LJ, Bann MC. Beyond reminders: A conceptual framework for using short message service to promote prevention and improve healthcare quality and clinical outcomes for people living with HIV. AIDS Care 2012;24(3):348-57.

20. National Statistical office. Survey reading of population [Internet]. 2017 [cite 2019 Mar 20]. Available from: http://www.nso.go.th/sites/2014/DocLib13/ด้านICT/เทคโนโลยีครัวเรือน/2561/ict61_completereportQ4.pdf. (in Thai).

21. Electronic Transactions Development Agency. Thailand Internet User Profile 2015. [Internet]. Bankkok: Electronic Transactions Development Agency; 2016[cited 2018 Jan 9]. Available from: http://unctad.org/meetings/en/ Contribution/dtl_eweek2016_ETDA_IUP_en.pdf

22. Munro S, Hui A, Salmons V, Solomon C, Gemmell E, Torabi N, et al. SmartMom text messaging for prenatal education: A qualitative focus group study to explore Canadian women’s perceptions. JMIR Public Health Surveill 2017;3(1):1-7.

23. Soltani H, Furness PJ, Arden MA, Mcseveny K, Gerland C, Sustar H, Dearden A. Women’s and midwives’ perspectives on the design of a text messaging support for maternal obesity services: An exploratory study. Journal of Obesity 2012;2012(1):1-10.

24. Cormick G, Kim AN, Rodgers A, Gibbons L, Buekens MP, Belizan MJ, et al. Interest of pregnant women in the use of SMS (short message service) text messages for the improvement of perinatal and postnatal care. Reproductive Health 2012;9(9):1-7.

25. Pollak KI, Alexander SC, Bennett G, Lyna P, Coffman CC, Bilheimer A, et al. Weight-related SMS texts promoting appropriate pregnancy weight gain: A pilot stydy. Patient Educ Couns 2014;97:256-60.

26. Herring SJ, Cruice JF, Benner GG, Rose MZ, Davey A, Foster GD. Preventing excessive gestational weight gain among African American women: A randomized clinical trial. Obesity 2016;24(1):30-6.

27. Ernsting C, Dombrowski US, Oedekoven M, O’Sullivan LJ, Kanzler M, Kuhlmey A, Gellert P. Using smartphones and health apps to change and manage health behaviors: A population-based survey. Journal of Medical Internet Research 2017;19(4): 101-12.

28. Gray JR, Grove SK, Sutherland S. Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence. 8th ed. St. Louis: Elsever; 2017.

29. Jesse H. Influencing health behaviors via short message service (SMS): evidence for best practices from Dar Es Salaam, Tanzania and Xi’an China [Internet]. 2016 [cited 18 jan14]. Available from: https://dash.harvard.edu/handle/1/27201737

30. Su Y, Yuan C, Zhou Z, Heitner J, Campbell B. Impact of an SMS advice programe on maternal and newborn health in rural China: study protocol for a quasi randomised controlled trial. British Medical Journal 2016;6(8):1004-16.

31. Lua KY, Cassidy T, Hacking D, Brittain K, Jensen H, Haricharan J, Heap M. Antenatal health promotion via short message service at a Midwife Obstetrics Unit in South Africa: A mixed methods study. Biomed central Pregnancy and Childbirth 2014;14(284):1-8.

32. Lau WP, Pitkethly JK, Leung WB, Lua YE, Wang J. The intervention effect of SMS delivery on Chinese adolescent’s physical activity. International Journal of Environmental Research and Public Health 2019;16(787):1-12.