ASSOCIATION BETWEEN ONLINE SOCIAL SUPPORT ON FACEBOOK AND BREASTFEEDING SELF-EFFICACY

Wichitra Yasya

Abstract


Breastfeeding is considered a practical and sustainable strategy to maternal and child health, the consequences of which are contributing to health, social and economic development. But in reality, breastfeeding rate in Indonesia is still not optimal because the national coverage is still below the national and global targets set by the government and the World Health Organization which targets 50% exclusive breastfeeding rate. Social support is a positive factor in increasing breastfeeding coverage. As information and communication technology advances, social support is not only provided in the mothers’ surrounding environment, has extended online through social media such as Facebook.  The purpose of this study was to investigate the association between online social support and breastfeeding self-efficacy. The study used a quantitative approach with purposive sampling method on members of the largest Facebook group on breastfeeding in Indonesia. Data was analyzed using Spearman’s Rank method. The results showed significant association between online social support and breastfeeding self-efficacy, with communication activeness and communication effectiveness having positive correlations while support access pattern, social support level and types of support communicated had no correlations with breastfeeding self-efficacy. Thus, it can be concluded that the higher social support obtained online through Facebook, the higher the breastfeeding self-efficacy, which in turn can contribute to the adherence of breastfeeding behaviour. Suggestions for further research are to improve sampling techniques and include other variables that can influence breastfeeding such as actual breastfeeding practice and breastfeeding intention as well as patterns of media use and offline social support obtained.

Keywords: breastfeeding, health communication, social support, self-efficacy, social media

 


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References


Albrecht, T. L., & Alderman, M. B. (1987). Communicating social support. Thousand Oaks (US): Sage.

Albrecht, T. L., & Goldsmith, D. J. (2003). Social Support, Social Networks and Health. In T. L. Thompson, A. Dorsey, R. Parrott, & K. Miller (Eds.), Handbook of Health Communication. Mahwah, NJ (US): Lawrence Erlbaum.

APJII. (2018). Penetrasi dan Perilaku Pengguna Internet Indonesia. Jakarta (ID): Asosiasi Penyelenggara Jasa Internet Indonesia.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. New Jersey: Prentice-Hall Inc.

Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660

Bandura, A. (2008). Social Cognitive Theory of Mass Communication. In Media Effects: Advances in Theory and Research (pp. 121–153).

BPS, BKKBN, Kemenkes, & ICF International. (2013). Indonesia Demographic and Health Survey 2012. Jakarta (ID).

Braithwaite, D. O., Waldron, V. R., & Finn, J. (1999). Communication of social support in computer-mediated groups for people with disabilities. Health Communication, 11(2), 123–151.

Burman, A. B. (2013). Can Internet Applications Help with Feeding Babies? A Study of Online Social Support Amongst Breastfeeding Women. Medicine 2.0 Conference. Retrieved from http://www.medicine20congress.com/ocs/index.php/med/med2013/paper/view/1576#.Vte7FOs9Gnc.mendeley

Cohen, S., & Hoberman, H. (1983). Positive events and social supports as buffers of life change stress. Journal of Applied Social Psychology, 13(2), 99–125. https://doi.org/10.1111/j.1559-1816.1983.tb02325.x

Cutrona, C. E., & Russell, D. W. (1990). Type of social support and specific stress: Toward a theory of optimal matching. In B. R. Sarason, I. G. Sarason, & G. R. Pierce (Eds.), Social support: An interactional view (pp. 319–366). Oxford: John Wiley & Sons.

Cutrona, C. E., & Suhr, J. A. (1992). Controllability of stressful events and satisfaction with spouse support behaviors. Communication Research, 19(2), 154–174.

Deetjen, U., & Powell, J. A. (2016). Informational and emotional elements in online support groups: A Bayesian approach to large-scale content analysis. Journal of the American Medical Informatics Association, 23(3), 508–513. https://doi.org/10.1093/jamia/ocv190

Dennis, C.-L. (2003). The Breastfeeding Self-Efficacy Scale: Psychometric Assessment of the Short Form. Journal of Obstetric, Gynecologic, & Neonatal Nursing, 32(6), 734–744. https://doi.org/10.1177/0884217503258459

Dennis, C. L. (1999). Theoretical Underpinnings of Breastfeeding Confidence: A Self-Efficacy Framework. Journal of Human Lactation, 15(3). https://doi.org/10.1177/089033449901500303

Drentea, P., & Moren-Cross, J. L. (2005). Social capital and social support on the web: The case of an internet mother site. Sociology of Health and Illness, 27(7), 920–943. https://doi.org/10.1111/j.1467-9566.2005.00464.x

Duggan, M., Lenhart, A., Lampe, C., & Ellison, N. B. (2015). Parents and social media: mothers are especially likely to give and receive support on social media. Pew Research Center.

Dutta, M. J. (2009). Health Communication: Trends and Future Directions. In J. Parker & E. Thorson (Eds.), Health Communication in the New Media Landscape (pp. 59–92). New York: Springer.

Gibson, L., & Hanson, V. L. (2013). Digital motherhood. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI ’13, 313. https://doi.org/10.1145/2470654.2470700

Gray, J. (2013). Feeding On the Web: Online Social Support in the Breastfeeding Context. Communication Research Reports, 30(April 2015), 1–11. https://doi.org/10.1080/08824096.2012.746219

Hahn-Holbrook, J., Schetter, C. D., & Haselton, M. G. (2013). The advantages and disadvantages of breastfeeding for maternal mental and physical health. In M. Spiers, G. P, & K. J (Eds.), Women’s Health Psychology (pp. 414–439). New Jersey: Wiley.

Jin, S. V., Phua, J., & Lee, K. M. (2015). Telling stories about breastfeeding through Facebook: The impact of user-generated content (UGC) on pro-breastfeeding attitudes. Computers in Human Behavior, 46, 6–17. https://doi.org/10.1016/j.chb.2014.12.046

Kreps, G. L., Bonaguro, E. W., & Query, J. L. (1998). The History and Development of the Field of Health Communicatio. In L. D. Jackson & B. K. Duffy (Eds.), Health Communication Research: Guide to Developments and Directions (pp. 1–7). Westport, CT: Greenwood Press.

Meedya, S., Fahy, K., & Kable, A. (2010). Factors that positively influence breastfeeding duration to 6 months: A literature review. Women and Birth, 23(4), 135–145. https://doi.org/10.1016/j.wombi.2010.02.002

Mo, P. K. H., Malik, S. H., & Coulson, N. S. (2009). Gender differences in computer-mediated communication: A systematic literature review of online health-related support groups. Patient Education and Counseling, 75(1), 16–24. https://doi.org/10.1016/j.pec.2008.08.029

Neuhauser, L., & Kreps, G. L. (2003). Rethinking communication in the e-health era. Journal of Health Psychology, 8(1), 7–23.

Newby, R., Brodribb, W., Ware, R. S., & Davies, P. S. W. (2015). Internet Use by First-Time Mothers for Infant Feeding Support. Journal of Human Lactation : Official Journal of International Lactation Consultant Association, 31(3), 416–424. https://doi.org/10.1177/0890334415584319

Nurfirdauzi, R. A., & Sutopo. (2014). Peran Media Komunikasi Facebook Asosiasi Ibu Menyusui Indonesia Terhadap Persepsi Ibu Menyusui Dalam Melaksanakan Program ASI Eksklusif. Journal of Rural and Development, 5(215–225).

Oh, H. J., Lauckner, C., Boehmer, J., Fewins-Bliss, R., & Li, K. (2013). Facebooking for health: An examination into the solicitation and effects of health-related social support on social networking sites. Computers in Human Behavior, 29(5), 2072–2080. https://doi.org/10.1016/j.chb.2013.04.017

Pajares, F. (2016). Overview of Social Cognitive Theory and of Self-Efficacy, 1–9.

Selby, P., Van Mierlo, T., Voci, S. C., Parent, D., & Cunningham, J. A. (2010). Online social and professional support for smokers trying to quit: An exploration of first time posts from 2562 members. Journal of Medical Internet Research, 12(3), 1–12. https://doi.org/10.2196/jmir.1340

Sentra Laktasi Indonesia. (2016). Buku Panduan Peserta Pelatihan Konseling Menyusui Modul 40 Jam WHO/UNICEF. Jakarta [ID]: Sentra Laktasi Indonesia.

Siddiqui, K. (2013). Heuristics for sample size determination in multivariate statistical techniques. World Applied Sciences Journal, 27(2), 285–287. https://doi.org/10.5829/idosi.wasj.2013.27.02.889

Statista. (2018). Most popular social networks worldwide as of October 2018, ranked by number of active users (in millions). Retrieved November 10, 2018, from https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/

Sugiyono. (2013). Statistika untuk Penelitian. Bandung [ID]: Alfabeta.

UNICEF Connect. (2015). The benefits of breastfeeding go well beyond health. Retrieved October 10, 2016, from https://blogs.unicef.org/blog/the-benefits-of-breastfeeding-go-well-beyond-health/.V_qO_6O--nE.mendeley

Valtchanov, B. L., Parry, D. C., Glover, T. D., & Mulcahy, C. M. (2014). Neighborhood at your Fingertips: Transforming Community Online through a Canadian Social Networking Site for Mothers. Gender, Technology and Development, 18(2), 187–217. https://doi.org/10.1177/0971852414529481

Victora, C. G., Bahl, R., Barros, A. J. D., França, G. V. A., Horton, S., Krasevec, J., … Rollins, N. C. (2016). Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. The Lancet, 387(10017), 475–490. https://doi.org/10.1016/S0140-6736(15)01024-7

Walters, D., Horton, S., Siregar, A. Y. M., Pitriyan, P., Hajeebhoy, N., Mathisen, R., … Rudert, C. (2016). The cost of not breastfeeding in Southeast Asia. Health Policy and Planning, 31(8), 1107–1116. https://doi.org/10.1093/heapol/czw044

World Health Organization. (2015). WHO | Global targets 2025. Retrieved June 13, 2016, from http://www.who.int/nutrition/topics/nutrition_globaltargets2025/en/#


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