A Qualitative Study of Perceptions about Eating Behaviours and Metabolic Syndrome in Thailand

Authors

  • Jariya supruang PhD. (Candidate) Faculty of Nursing, Burapha University,Thailand.
  • Aporn Deenan PhD (Nursing), Associate Professor, Faculty of Nursing, Burapha University, Thailand.
  • Chintana Wacharasin PhD (Nursing), Associate Professor, Faculty of Nursing, Burapha University, Thailand.

Keywords:

eating behaviors, focus group discussion, metabolic syndrome, perception, qualitative research

Abstract

            Metabolic syndrome leads to many chronic diseases and has increased significantly in Thailand where eating behaviors play an important role in the syndrome’s development.This qualitative study aimed to describe the perception of people with metabolic syndrome related to the syndrome and their eating behaviors. Two focus group discussions (12 participants per group) were conducted at Tambon Health Promotion Hospitals. The data were obtained through an interview guideline, audio recordings, and notes. Based on Miles and Huberman’s method, content analysis was performed on transcripts and notes of the participants’ interaction and reflections.

             Three themes emerged from analysis: In the first theme, Perception of metabolic syndrome there were with two subthemes: It’s only being fat and big belly and Obesity is a source of many diseases, but I still feel like a normal person. The second theme, Factors related to metabolic syndrome, contained four sub-themes, Emotions influence eating behavior, Thoughts related to eating behavior, Socio-environment facilitates eating behavior, and Culture interferes with eating behavior. In the third theme, Management of eating behavior, the two subthemes were:Success in changing eating behavior and Failure in changing eating behavior.These findings help to provide better understanding about the perceptions of participants towards metabolic syndrome, the influential factors, and their efforts to manage eating behaviors. From the research findings, nurses and health care providers should evaluate and educate people about metabolic syndrome, its threats, and management. Screening for this syndrome could prevent and reduce its severity. Future nursing research should develop interventions to prevent and reduce it.

References

Aekplakorn, W., Satheannoppakao, W., Putwatana, P., Taneepanichskul, S., Kessomboon, P., Chongsuvivatwong, V., & Chariyalertsak, S. Dietary pattern and metabolic syndrome in Thai adults. Journal of Nutrition and Metabolism 2015: 1-10. doi:10.1155/2015/468759

Aekplakorn, W., Chariyalertsak,S., Kessomboon,P., Assanangkornchai,S., Taneepanichskul,S., & Putwatana,P. Prevalence of Diabetes and Relationship with Socioeconomic Status in the Thai Population: National Health Examination Survey, 2004–2014. Journal of Diabetes Research 2018: 1-8. doi:10.1155/2018/1654530

Kataria I, Chadha R, Pathak R. Dietary and lifestyle modification in metabolic syndrome: a review of randomized control trials in different population groups. Journal of Health Research 2016;4(4):209-30. doi:10.7175/rhc.v4i4.667

Ranasinghe, P., Mathangasinghe, Y., Jayawardena, R., Hills, A. P., & Misra, A. (2017). Prevalence and trends of metabolic syndrome among adults in the Asia-Pacific region: a systematic review. BioMed Public Health 2017;17(1): 1-9. doi:10. 1186/s12889-017-4041-1

Khan S, Ning H, Wilkins J, et al. Association of body mass index with lifetime risk of cardiovascular disease and compression of morbidity. JAMA Cardiology 2018; 3(4): 280-7. doi:10.1001/jamacardio.2018.0022

Mokhayeri, Y., Riahi, S. M., Rahimzadeh, S., Pourhoseingholi, M. A., & Hashemi-Nazari, S. S. Metabolic syndrome prevalence in the Iranian adult’s general population and its trend: A systematic review and meta-analysis of observational studies. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2018;12(3):441-53. doi:10.1016/j.dsx. 2017. 12.023

Wali, M., & Ram, C. V. Metabolic syndrome in South Asians. Metabolic Syndrome. 2015:1-14. doi:10.1007/978- 3-319-12125-3_7-1

Teerawattananon, Y., Luz, A. Obesity in Thailand and its economic cost estimation. Tokyo: Asian Development Bank Institute. Available: https://www.adb.org/publications/ obesity-thailand-and-its-economic-cost-estimation/. Accessed May 10 2019.

Chupanit, P., Muktabhant, B., & Schelp, F. P. Dietary patterns and their association with the components of metabolic syndrome: a cross-sectional study of adults from northeast Thailand. F1000Research 2018;7: 905-10. doi: 10.12688/ f1000research.15075.1

Papier, K. O., Jordan, S., D’Este, C., Banwell, C., Yiengprugsawan, V., Seubsman, S., & Sleigh. A. Social demography of transitional dietary patterns in Thailand: prospective evidence from the Thai Cohort Study. Nutrients 2017;9(11):1173-76.doi:10.3390/nu 9111173

Yamaoka K, Tango T. Effects of lifestyle modification on metabolic syndrome: a systematic review and meta-analysis. BioMed Medicine 2017;10(1):138-47.doi:10.1186/ 1741-7015-10-138

Lin Y, Chang H, Tseng Y, Lin M, Chen Y, Yang H, et al. Characteristics and health behavior of newly developed metabolic syndrome among community-dwelling elderly in Taiwan. International Journal of Gerontology 2016; 7(2):90-6. doi:10.1097/md.00000000000 08838

Vareesh, V.G. Study to Assess the knowledge regarding lifestyle modification among clients with metabolic syndrome. International Journal of Nursing Didactics 2016; 6(2): 1-10. doi:10.15520/ijnd.2016.vol6. iss2.137.30-32.

Young Hong, M. The effect of social cognitive theory-based interventions on dietary behavior within children. Journal of Nutritional Health & Food Science 2016;4(5):1-9. doi:10.15226/jnhfs.2016.001 79

Oyibo, K., Adaji, I., & Vassileva, J. Social cognitive determinants of exercise behavior in the context of behavior modeling: a mixed method approach. Digital Health 2018;4:1-10. doi:10.1177/2055207618811555

Higgs S. Social norms and their influence on eating behaviours. Appetite 2017;86:38-44. doi:10.1016/j. appet.2014.10.021

Lycett, K., Miller, A., Knox, A., Dunn, S., Kerr, J. A., Sung, V., & Wake, M. ‘Nudge’ interventions for improving children’s dietary behaviors in the home: a systematic review. Obesity Medicine 2017;7:21-33. doi:10.1016/ j.obmed.2017.06.001

Tucunduva Philippi, S., Guerra, P. H., & Barco Leme, A. C. Health behavioral theories used to explain dietary behaviors in adolescents: a systematic review. Nutrire 2016;41(1). doi:10.1186/s41110-016-0023-9

Cox, V., Mann, L., Blotnicky ,K., Rossiter, M. University students’ eating behaviors: implications for the social cognitive theory. International Journal of Health Sciences 2017;5(4):25-37. doi: 10.15640/ijhs.v5n4a3

Sandelowski, M. A matter of taste: evaluating the quality of qualitativeresearch. Nursing Inquiry 2015;22(2):86-94. doi: 10.111/nin.12080.

Editor, T. Blood Cholesterol Treatment: The National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) Guideline. BIRDEM Medical Journal 2016;5(2):68-72. doi:10.3329/birdem.v5i2.28382

Miles, M. B., Huberman, A. M., & Saldana, J. Qualitative data analysis: a methods sourcebook. Thousand Oaks, CA: SAGE Publications 2018.

Lincoln YS, Guba EG. Naturalistic inquiry SAGE Publishing; 1985 [cited 2019 January 11]. Available from: https:// uk.sagepub.com/en-gb/asi/naturalistic-inquiry/book 842#preview.

Al-Kayyis H, Perwitasari D. Illness perception and quality of life in type 2 diabetes mellitus patients in Lampung, Indonesia. Global Journal of Health Science 2018; 10(7): 136-40. doi:10.1155/2018/1654530

Kugbey N, Oppong Asante K, Adulai K. Illness perception, diabetes knowledge and self-care practices among type-2 diabetes patients: a cross-sectional study. BioMed Research Notes 2017;10(1):20-30. doi:10.1186/s13104- 017-2707-5

Ezenwaka C, Okoye O, Esonwune C, Onuoha P, Dioka C, Osuji C, et al. High prevalence of abdominal obesity increases the risk of the metabolic syndrome in nigerian type 2 diabetes patients: Using the International Diabetes Federation Worldwide 3 definition. Metabolic Syndrome and Related Disorders 2016;12(5):277-82. doi:10. 1089/met.2013.0139

Lowe, J. B. Thefuture of health behavior research. Health Behavior Research 2017;1(1).35-39. doi:10.4148/ 2572-1836.1008

Boonsatean, W. The influences of income and education on the illness perception and self-management of Thai adults with type 2 diabetes. Diabetes & Metabolic Disorders 2016;3(2):1-8. doi:10.24966/dmd-201x/100017

Nasir, K. M. Youth resistance through cultural consumption. Globalized Muslim Youth in the Asia Pacific. 2016:151-189. 30. Polivy, J. What’s that you’re eating? Social comparison and eating behavior. Journal of Eating Disorders 2017;5(1):1- 5. doi:10.1186/s40337-017-0148-0

Shi, Z., Papier, K., Yiengprugsawan, V., Kelly, M., Seubsman, S., & Sleigh, A. Dietary patterns associated with hypertension risk among adults in Thailand: eight-year findings from the Thai Cohort Study. Proceedings of the Nutrition Society 2018;22(2):307-13. doi:10.1017/s0029665118001994

Chupanit, P., Muktabhant, B., & Schelp, F. P. Dietary patterns and their association with the components of metabolic syndrome: A cross-sectional study of adults from northeast Thailand. F1000Research 2019;7:905- 10. doi:10.12688/f1000 research.15075.1

Puddephatt, J., Keenan, G., Fielden, A., Reaves, D., Halford, J., & Hardman, C. ‘Eating to survive’: A qualitative analysis of factors influencing food choice and eating behaviour in a foodinsecure population 2019. doi:10.31234/osf.io/m74ge

Sturgiss, E., Madigan, C. D., Klein, D., Elmitt, N., & Douglas, K. Metabolic syndrome and weight management programs in primary care: a comparison of three international healthcare systems. Australian Journal of Primary Health 2018;24(5):372-80. doi:10.1071/py18021

Zhu, Y., & Hollis, J. H. Associations between eating frequency and energy intake, energy density, diet quality and body weight status in adults from the USA. British Journal of Nutrition 2016; 115(12):2138-44. doi:10. 1017s0007114516001112

Dietary Patterns in Metabolic Syndrome. Nutritional Intervention in Metabolic Syndrome 2015:403-4. doi: 10.1201/b19099-31

Guest, G., Namey, E., & McKenna, K. How many focus groups are enough? Building an evidence base for nonprobability sample sizes. Field Methods. 2016 29(1): 3-22. doi:10. 1177/1525822x16639015

Blackford K, Jancey J, Lee A, James A, Howat P, Hills A, et al. A randomised controlled trial of a physical activity and nutrition program targeting middle-aged adults at risk of metabolic syndrome in a disadvantaged rural community. BioMed Public Health 2015;15:284-10. doi:10.1186/ s12889-015-1613-9

Downloads

Published

2020-03-14

How to Cite

1.
supruang J, Deenan A, Wacharasin C. A Qualitative Study of Perceptions about Eating Behaviours and Metabolic Syndrome in Thailand. PRIJNR [Internet]. 2020 Mar. 14 [cited 2024 Dec. 22];24(2):234-45. Available from: https://he02.tci-thaijo.org/index.php/PRIJNR/article/view/191621

Issue

Section

Original paper