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The impact of social media on women's dieting habits

Year 2022, Volume: 3 Issue: 3, 132 - 138, 29.12.2022

Fatma Keskin Töre Yurdagül Yağmur

https://doi.org/10.29228/anatoljhr.64966

Abstract

Aim: This research was conducted to examine the effect of social media on women's diet habits.
Methods: This descriptive study was conducted at three different Family Health Center between May 2018 and January 2019. Data were collected from 541 women between the ages of 18-65 by questionnaire form. Descriptive statistics (frequency, percentage, mean, standard deviation), Chi-Square test, Kruskal Wallis, one Way ANOVA, and t-test analysis were used to evaluate the data.
Results: It was determined that women's age, education level, employment status, economic status, and marital status affected body mass index (BMI) (p < .001). Individuals who used social media to diet were found to have a higher BMI. A statistically significant relationship was found between using social media to access dietary resources and conducting research and self-definition (p < .001).
Conclusion: This study showed that there is a close relationship between women's socio-demographic characteristics and BMI. In the study, it was concluded that women who define themselves as overweight or overuse social media to access dietary information sources and to conduct research. It was determined that the majority of women did not think positively about diet information on social media and the use of these diets.

Keywords

body mass index diet woman social media

References

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  • Almenara, C. A., Machackova, H., & Smahel, D. (2019). Sociodemographic, attitudinal, and behavioral correlates of using nutrition, weight loss, and fitness websites: An online survey. Journal of Medical Internet Research, 21(4), e10189 https://doi.org/10.2196/10189
  • Aşık, Z., & Çakmak, T. (2016). Evaluation of obesity and metabolic syndrome in patients who apply to the family medicine clinics. The Journal of Turkish Family Physician, 7(4), 94–102. https://doi.org/10.15511/tjtfp.16.00494
  • Aslan, N. (2018). Kadınlarda Beden kitle indeksi ile ilişkili psikososyal faktörlerin belirlenmesi. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, 4(2), 50–6.
  • Baysal, A. (2014). Medyatik zayıflama diyetleri : Kısa ve uzun dönemde sağlık üzerine olası etkileri nelerdir ? Beslenme ve Diyet Dergisi, 42(3), 179–180.
  • Bibiloni, M. D. M., Coll, J. L., Pich, J., Pons, A., & Tur, J. A. (2017). Body image satisfaction and weight concerns among a Mediterranean adult population. BMC Public Health, 17(1), 1–11. https://doi.org/10.1186/s12889-016-3919-7
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  • Carrotte, E. R., Vella, A. M., & Lim, M. S. C. (2015). Predictors of “liking” three types of health and fitness-related content on social media: A cross-sectional study. Journal of Medical Internet Research, 17(8), 1–16. https://doi.org/10.2196/jmir.4803
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  • Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID ‑ 19 social media infodemic. Scientific Reports, 10(1), 16598. https://doi.org/10.1038/s41598-020-73510-5
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  • Jane, M., Hagger, M., Foster, J., Ho, S., & Pal, S. (2018). Social media for health promotion and weight management: A critical debate. BMC Public Health, 18(1), 1–7. https://doi.org/10.1186/s12889-018-5837-3
  • Jauho, M., Pääkkönen, J., Isotalo, V., Pöyry, E., & Laaksonen, S. M. (2021). How do trendy diets emerge? An exploratory social media study on the low-carbohydrate diet in Finland. Food, Culture and Society, 00(00), 1–26. https://doi.org/10.1080/15528014.2021.1971436
  • Karami, A., Dahl, A. A., Turner-mcgrievy, G., Kharrazi, H., & Jr, G. S. (2018). Characterizing diabetes, diet, exercise, and obesity comments on Twitter. International Journal of Information Management, 38(1), 1–6. https://doi.org/10.1016/j.ijinfomgt.2017.08.002
  • Kıngır, S., & Kardeş, N. (2019). Medyanin sağlikli beslenme davranışı üzeri̇ndeki etki̇si̇. Saffron Journal of Culture and Tourism Research, 2(2), 163–176.
  • Lee, J., Shin, A., Cho, S., Choi, J. Y., Kang, D., & Lee, J. K. (2020). Marital status and the prevalence of obesity in a Korean population. Obesity Research and Clinical Practice, 14(3), 217–224. https://doi.org/10.1016/j.orcp.2020.04.003
  • Lewis, S., Thomas, S. L., Blood, R. W., Castle, D., Hyde, J., & Komesaroff, P. A. (2011). “I’m searching for solutions”: Why are obese individuals turning to the Internet for help and support with “being fat”? Health Expectations, 14(4), 339–350. https://doi.org/10.1111/j.1369-7625.2010.00644.x
  • Lin, W. Y., Zhang, X., Song, H., & Omori, K. (2016). Health information seeking in the Web 2.0 age: Trust in social media, uncertainty reduction, and self-disclosure. Computers in Human Behavior, 56, 289–294. https://doi.org/10.1016/j.chb.2015.11.055
  • Moorman, E. L., Warnick, J. L., Acharya, R., & Janicke, D. M. (2020). The use of internet sources for nutritional information is linked to weight perception and disordered eating in young adolescents. Appetite, 154, 104782. https://doi.org/10.1016/j.appet.2020.104782
  • Neubronner, S. A., Indran, I. R., Chan, Y. H., Thu, A. W. P., & Yong, E. L. (2021). Effect of body mass index (BMI) on phenotypic features of polycystic ovary syndrome (PCOS) in Singapore women: a prospective cross-sectional study. BMC Women’s Health, 21(1), 1–12. https://doi.org/10.1186/s12905-021-01277-6
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  • Okumuşoglu, S. (2017). Investigation of the relationship of body ımage, self esteem, age and body mass index in dieting females. Ulakbilge Dergisi, 5(13), 1171–1181. https://doi.org/10.7816/ulakbilge-05-13-11
  • Oran, N. T., Toz, H., Küçük, T., & Uçar, V. (2017). Medyanın kadınların beslenme alışkanlıkları, besin seçimi ve tüketimi üzerindeki etkileri. Life Sciences (NWSALS), 12(1), 1–13. https://doi.org/10.12739/NWSA.2017.12.1.4C0008.Tuna
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  • Pollard, C. M., Pulker, C. E., Meng, X., Kerr, D. A., & Scott, J. A. (2015). Who uses the internet as a source of nutrition and dietary information? An Australian population perspective. Journal of Medical Internet Research, 17(8), e209. https://doi.org/10.2196/jmir.4548
  • Sipahi, S., & Demirel, B. (2021). Sosyal medyadaki beslenme ile ilgili paylaşımların yetişkin bireylerin yeme tutum ve davranışlarına etkisi. Beslenme ve Diyet Dergisi, 49(1), 57–66. https://doi.org/10.33076/2021.BDD.1389
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Kadınların diyet yapma alışkanlıkları üzerine sosyal medyanın etkisi

Year 2022, Volume: 3 Issue: 3, 132 - 138, 29.12.2022

Fatma Keskin Töre Yurdagül Yağmur

https://doi.org/10.29228/anatoljhr.64966

Abstract

Amaç: Bu araştırma kadınların diyet yapma alışkanlıkları üzerine sosyal medyanın etkisini incelemek amacıyla yapıldı.
Yöntem: Tanımlayıcı tipteki bu araştırma Mayıs 2018-Ocak 2019 tarihleri arasında üç farklı Aile Sağlığı Merkez’inde yapıldı. Veriler 18-65 yaş arası 541 kadından anket formuyla toplandı. Verilerin değerlendirilmesinde tanımlayıcı istatistiklerin (sayı, yüzde, ortalama, standart sapma) yanı sıra Ki Kare testi, Kruskal Wallis, tek Yönlü ANOVA ve t-testi analizi kullanıldı.
Bulgular: Kadınların yaş, öğrenim düzeyi, çalışma durumu, ekonomik durumu ve medeni durumunun beden kitle indeksini (BKİ) etkilediği belirlendi (p < .001). Diyet yapmak için sosyal medyayı kullanan bireylerin daha yüksek BKİ’ye sahip olduğu bulundu. Sosyal medyayı diyetle ilgili kaynaklara ulaşmak için kullanma ve araştırma yapma durumu ile kendini tanımlama arasında istatiksel olarak anlamlı ilişki bulundu (p < .001).
Sonuçlar: Araştırmada özellikle kendini hafif şişman ve üstü olarak tanımlayan kadınların sosyal medyayı diyetle ilgili bilgi kaynaklarına ulaşmak ve araştırma yapmak için kullandığı sonucuna ulaşıldı. Kadınların çoğunluğunun sosyal medyada yer alan diyet bilgileri ve bu diyetlerin kullanımı konusunda olumlu düşünmedikleri belirlendi.

Keywords

beden kitle indeksi diyet kadın sosyal medya

References

  • Aktaş, N., & Cebirbay, M. A. (2011). Tüketicilerin beslenme bilgilerine erişmede kullandıkları kitle iletişim araçları üzerine bir araştırma. Karadeniz (Black Sea-Черное Море) Sosyal Bilimler Dergisi, 9(11), 47–56.
  • Aktaş, S. (2014). Medyanın kadın estetiği üzerine etkileri ve ebenin rolü. Anadolu Hemşirelik ve Sağlık Bilimleri Dergisi, 17, 11–3.
  • Almenara, C. A., Machackova, H., & Smahel, D. (2019). Sociodemographic, attitudinal, and behavioral correlates of using nutrition, weight loss, and fitness websites: An online survey. Journal of Medical Internet Research, 21(4), e10189 https://doi.org/10.2196/10189
  • Aşık, Z., & Çakmak, T. (2016). Evaluation of obesity and metabolic syndrome in patients who apply to the family medicine clinics. The Journal of Turkish Family Physician, 7(4), 94–102. https://doi.org/10.15511/tjtfp.16.00494
  • Aslan, N. (2018). Kadınlarda Beden kitle indeksi ile ilişkili psikososyal faktörlerin belirlenmesi. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, 4(2), 50–6.
  • Baysal, A. (2014). Medyatik zayıflama diyetleri : Kısa ve uzun dönemde sağlık üzerine olası etkileri nelerdir ? Beslenme ve Diyet Dergisi, 42(3), 179–180.
  • Bibiloni, M. D. M., Coll, J. L., Pich, J., Pons, A., & Tur, J. A. (2017). Body image satisfaction and weight concerns among a Mediterranean adult population. BMC Public Health, 17(1), 1–11. https://doi.org/10.1186/s12889-016-3919-7
  • Bissonnette-Maheux, V., Provencher, V., Lapointe, A., Dugrenier, M., Dumas, A. A., Pluye, P., Straus, S., Gagnon, M. P., & Desroches, S. (2015). Exploring women’s beliefs and perceptions about healthy eating blogs: A qualitative study. Journal of Medical Internet Research, 17(4), e87. https://doi.org/10.2196/jmir.3504
  • Carrotte, E. R., Vella, A. M., & Lim, M. S. C. (2015). Predictors of “liking” three types of health and fitness-related content on social media: A cross-sectional study. Journal of Medical Internet Research, 17(8), 1–16. https://doi.org/10.2196/jmir.4803
  • Çayır, A., Atak, N., & Köse, S. K. (2011). Beslenme ve diyet kliniğine başvuranlarda obezite durumu ve etkili faktörlerin belirlenmesi. Ankara Üniversitesi Tıp Fakültesi Mecmuası, 64(1), 13–19. https://doi.org/10.1501/tipfak_0000000779
  • Chansiri, K., & Wongphothiphan, T. (2021). The indirect effects of Instagram images on women’s self-esteem: The moderating roles of BMI and perceived weight. New Media and Society, 14, 1-23. https://doi.org/10.1177/14614448211029975
  • Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID ‑ 19 social media infodemic. Scientific Reports, 10(1), 16598. https://doi.org/10.1038/s41598-020-73510-5
  • Demir, S., & Karaağaoğlu, N. (2013). Üç nesil kadınlarda obezite ile beden algı durumu ve zayıflamaya yönelik uygulamala. Beslenme ve Diyet Dergisi, 41(1), 18–26. Fox, S. (2011). The social life of health information. Pew research centre: Washington DC, USA. https://doi.org/10.1265/jjh.31.353
  • Gaio, V., Antunes, L., Namorado, S., Barreto, M., Gil, A., Kyslaya, I., Rodrigues, A. P., Santos, A., Bøhler, L., Castilho, E., Vargas, P., do Carmo, I., Nunes, B., & Dias, C. M. (2018). Prevalence of overweight and obesity in Portugal: Results from the first portuguese health examination survey (INSEF 2015). Obesity Research and Clinical Practice, 12(1), 40–50. https://doi.org/10.1016/j.orcp.2017.08.002
  • George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 step by step: a simple guide and reference (14th ed). Routledge.
  • Goodyear, V. A., Armour, K. M., & Wood, H. (2019). Young people and their engagement with health-related social media: New perspectives. Sport, Education and Society, 24(7), 673–688. https://doi.org/10.1080/13573322.2017.1423464
  • Goodyear, V. A., Boardley, I., Chiou, S. Y., Fenton, S. A. M., Makopoulou, K., Stathi, A., Wallis, G. A., Veldhuijzen van Zanten, J. J. C. S., & Thompson, J. L. (2021). Social media use informing behaviours related to physical activity, diet and quality of life during COVID-19: A mixed methods study. BMC Public Health, 21(1), 1–14. https://doi.org/10.1186/s12889-021-11398-0
  • James, D. C. S., Harville, C., Efunbumi, O., & Martin, M. Y. (2015). Health literacy issues surrounding weight management among African American women: A mixed methods study. Journal of Human Nutrition and Dietetics, 28(s2), 41–49. https://doi.org/10.1111/jhn.12239
  • Jane, M., Hagger, M., Foster, J., Ho, S., & Pal, S. (2018). Social media for health promotion and weight management: A critical debate. BMC Public Health, 18(1), 1–7. https://doi.org/10.1186/s12889-018-5837-3
  • Jauho, M., Pääkkönen, J., Isotalo, V., Pöyry, E., & Laaksonen, S. M. (2021). How do trendy diets emerge? An exploratory social media study on the low-carbohydrate diet in Finland. Food, Culture and Society, 00(00), 1–26. https://doi.org/10.1080/15528014.2021.1971436
  • Karami, A., Dahl, A. A., Turner-mcgrievy, G., Kharrazi, H., & Jr, G. S. (2018). Characterizing diabetes, diet, exercise, and obesity comments on Twitter. International Journal of Information Management, 38(1), 1–6. https://doi.org/10.1016/j.ijinfomgt.2017.08.002
  • Kıngır, S., & Kardeş, N. (2019). Medyanin sağlikli beslenme davranışı üzeri̇ndeki etki̇si̇. Saffron Journal of Culture and Tourism Research, 2(2), 163–176.
  • Lee, J., Shin, A., Cho, S., Choi, J. Y., Kang, D., & Lee, J. K. (2020). Marital status and the prevalence of obesity in a Korean population. Obesity Research and Clinical Practice, 14(3), 217–224. https://doi.org/10.1016/j.orcp.2020.04.003
  • Lewis, S., Thomas, S. L., Blood, R. W., Castle, D., Hyde, J., & Komesaroff, P. A. (2011). “I’m searching for solutions”: Why are obese individuals turning to the Internet for help and support with “being fat”? Health Expectations, 14(4), 339–350. https://doi.org/10.1111/j.1369-7625.2010.00644.x
  • Lin, W. Y., Zhang, X., Song, H., & Omori, K. (2016). Health information seeking in the Web 2.0 age: Trust in social media, uncertainty reduction, and self-disclosure. Computers in Human Behavior, 56, 289–294. https://doi.org/10.1016/j.chb.2015.11.055
  • Moorman, E. L., Warnick, J. L., Acharya, R., & Janicke, D. M. (2020). The use of internet sources for nutritional information is linked to weight perception and disordered eating in young adolescents. Appetite, 154, 104782. https://doi.org/10.1016/j.appet.2020.104782
  • Neubronner, S. A., Indran, I. R., Chan, Y. H., Thu, A. W. P., & Yong, E. L. (2021). Effect of body mass index (BMI) on phenotypic features of polycystic ovary syndrome (PCOS) in Singapore women: a prospective cross-sectional study. BMC Women’s Health, 21(1), 1–12. https://doi.org/10.1186/s12905-021-01277-6
  • Nisar, S., & Shafiq, M. (2019). Framework for efficient utilisation of social media in Pakistan’s healthcare sector. Technology in Society, 56, 31–43. https://doi.org/10.1016/j.techsoc.2018.09.003
  • Okumuşoglu, S. (2017). Investigation of the relationship of body ımage, self esteem, age and body mass index in dieting females. Ulakbilge Dergisi, 5(13), 1171–1181. https://doi.org/10.7816/ulakbilge-05-13-11
  • Oran, N. T., Toz, H., Küçük, T., & Uçar, V. (2017). Medyanın kadınların beslenme alışkanlıkları, besin seçimi ve tüketimi üzerindeki etkileri. Life Sciences (NWSALS), 12(1), 1–13. https://doi.org/10.12739/NWSA.2017.12.1.4C0008.Tuna
  • Özdemir, M. E., Yıldız, S., Benli, A. R., & Aslan, B. (2020). Kayseri İl Sağlık Müdürlüğü sağlıklı hayat merkezleri diyet poliklinikleri 2018 yılı verilerinin değerlendirilmesi. Turkish Journal of Diabetes and Obesity, 4(3), 249–52. https://doi.org/10.25048/tudod.713326
  • Pollard, C. M., Pulker, C. E., Meng, X., Kerr, D. A., & Scott, J. A. (2015). Who uses the internet as a source of nutrition and dietary information? An Australian population perspective. Journal of Medical Internet Research, 17(8), e209. https://doi.org/10.2196/jmir.4548
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There are 43 citations in total.

Details

Primary Language Turkish
Subjects Nursing (Other)
Journal Section Research Articles
Authors

Fatma Keskin Töre 0000-0001-5790-1705

Yurdagül Yağmur 0000-0001-7798-6515

Publication Date December 29, 2022
Published in Issue Year 2022 Volume: 3 Issue: 3

Cite

APA Keskin Töre, F., & Yağmur, Y. (2022). Kadınların diyet yapma alışkanlıkları üzerine sosyal medyanın etkisi. Anatolian Journal of Health Research, 3(3), 132-138. https://doi.org/10.29228/anatoljhr.64966
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