PREDICTORS OF FOOD CONSUMPTION BEHAVIORS AMONG PATIENTS WITH NON-COMMUNICABLE DISEASES IN INDIGENOUS AND ETHNIC COMMUNITIES, PHAYAO PROVINCE

Authors

  • Natnapa Promma Department of Community Health, School of Public Health, University of Phayao
  • Konkamon Sangsoda Department of Community Health, School of Public Health, University of Phayao
  • Kamonchanok Raknak Department of Community Health, School of Public Health, University of Phayao
  • Kronwika Boontor Department of Community Health, School of Public Health, University of Phayao
  • Krittaya Yindee Department of Community Health, School of Public Health, University of Phayao
  • Chanida Meechai Department of Community Health, School of Public Health, University of Phayao
  • Chutima Prueksa Department of Community Health, School of Public Health, University of Phayao
  • Panadda Ya-ud Department of Community Health, School of Public Health, University of Phayao

Keywords:

Food consumption behavior, Non-communicable diseases, Indigenous communities, Ethnic groups

Abstract

This cross-sectional study aimed to investigate the predictors of food consumption behaviors among patients with non-communicable diseases (NCDs) in indigenous and ethnic communities in Phayao Province. The sample consisted of 384 patients with NCDs from indigenous and ethnic communities in Phayao Province. Data were collected through interviews and analyzed using descriptive statistics, Chi-square tests, and multiple logistic regression analysis. The results revealed that ethnic groups had a higher proportion of inappropriate food consumption behaviors than indigenous communities (69.50% and 46.09%, respectively). The predictors of inappropriate food consumption behaviors among patients with NCDs in indigenous and ethnic communities included being female (AOR = 2.11; 95% CI = 1.31–3.40, p = 0.002), being older than 60 years (AOR = 0.57; 95% CI = 0.35–0.92, p = 0.021) belonging to an ethnic community (AOR = 2.26; 95% CI = 1.42–3.60, p = 0.001) having a positive attitude toward food consumption (AOR = 0.37; 95% CI = 0.23–0.59, p < 0.001) and receiving adequate enabling factors (AOR = 0.31; 95% CI = 0.11–0.89, p = 0.030). These five variables jointly explained 18.6% of food consumption behaviors and demonstrated a predictive accuracy of 54.7%. Therefore, healthcare service providers should develop culturally appropriate nutrition promotion programs for ethnic communities, focusing on improving attitudes, strengthening supportive factors from families and communities, and considering cultural and environmental influences to enhance the effectiveness of food consumption behavior modification.

References

กรมอนามัย. (2566). ข่าวประชาสัมพันธ์เรื่อง กรมอนามัยเผยคนไทยกินโซเดียม ‘เกินค่ามาตรฐาน เกือบ 2 เท่า’ จับมือ line man wongnai ส่งตรงเมนูชูสุขภาพและหนาวน้อยสั่งได้ถึงบ้าน. วันที่ 20 มกราคม 2566. สืบค้นจาก https://anamai.moph.go.th/th/news-anamai/43277

สำนักงานสาธารณสุขจังหวัดพะเยา ระบบคลังข้อมูลด้านการแพทย์และสุขภาพ (HDC). (2568). การป่วยด้วยโรคไม่ติดต่อที่สำคัญ. สืบค้นจาก https://hdc.moph.go.th/pyo/public/standard-subcatalog/6a1fdf282fd28180eed7d1cfe0155e11

ลัดดา เหมาะสุวรรณ และเยาวลักษณ์ รูปปัทม์. (2565). แนวโน้มอาหารและโภชนาการกับ NCDs. สหมิตรพัฒนาการพิมพ์, กรุงเทพฯ. สืบค้นจาก https://www.thaihealth.or.th/wp-content/uploads/2022/11/หนังสือแนวโน้มอาหารและโภชนาการกับ-NCDs-1.pdf

Beckmann, A., Strassner, C., & Kwanbunjan, K. Thailand–How Far are We from Achieving a Healthy and Sustainable Diet?. Available at SSRN 4805890. https://www.sciencedirect.com/science/article/pii/S2772368224001288

Bloom, B. S., Madaus, G. F., & Hastings, J. T. (1971). Handbook on formative and summative evaluation of student learning. McGraw-Hill.

Chotruangnapa, C., Kunanon, S., Sukonthasarn, A., Srinonprasert, V., Beaney, T., Clarke, J., ... & Roubsanthisuk, W. (2024). May Measurement Month 2021: an analysis of blood pressure screening results from Thailand. European Heart Journal Supplements, 26(Supplement_3), iii90-iii92. https://doi.org/10.1093/eurheartjsupp/suae062

Cronbach Lee J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. https://doi.org/10.1007/BF02310555

Dulyapach, K., Ngamchaliew, P., Vichitkunakorn, P., Sornsenee, P., & Choomalee, K. (2022). Prevalence and associated factors of delayed diagnosis of type 2 diabetes mellitus in a Tertiary Hospital: A Retrospective Cohort Study. International Journal of Public Health, 67, 1605039. https://pmc.ncbi.nlm.nih.gov/articles/PMC9742202/?utm

Kuder G. F. & Richardson M. W. (1937). The theory of the estimation of test reliability. Psychometrika, 2(3), 151-160. https://doi.org/10.1007/BF02288391

Green, L. W., & Kreuter, M. W. (2005). Health program planning: An educational and ecological approach (4th ed.). New York, NY: McGraw-Hill. https://www.lgreen.net/precede-proceed

Harnirattisai, T., Vuthiarpa, S., Pawloski, L. R., Curtin, K. M., Blackwell, E., Nguyen, J., & Bourgeois, S. M. (2024). Nutritional health risk (food security) in Thai older adults and related factors. Nutrients, 16(16), 2703.https://www.mdpi.com/2072-6643/16/16/2703

Kim, J., Jang, J., Kim, B., & Lee, K. H. (2022). Effect of the PRECEDE-PROCEED model on health programs: a systematic review and meta-analysis. Systematic Reviews, 11(1), 213. https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/s13643-022-02092-2

Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607-610.

Promma N. (2025). Prevalence and risk factors associated with hypertension among the Hmong people in Phayao Province, Thailand. Journal of Public Health and Development, 23(1),40-56. https://he01.tci-thaijo.org/index.php/AIHD-MU/article/view/271046

Rakhshani, T., Tahmasebi, Z., Ghahremani, L., Kamyab, A., & Khani Jeihooni, A. (2024). The effect of educational intervention based on the PRECEDE-PROCEED model on self-care behaviors and quality of life of hypertensive patients. Frontiers in Public Health, 12, 1410843. https://www.frontiersin.org/articles/10.3389/fpubh.2024.1410843

Sooampon, S., & Sooampon, S. (2024). Voices of Thai Patients With Non-Communicable Diseases Towards Healthy and Ready Meal Products: A Mixed-Methods Research. SAGE Open Nursing, 10, 23779608241293688. https://pubmed.ncbi.nlm.nih.gov/39478955/

World Health Organization. (2024). Fiscal policies to promote healthy diets: WHO guideline. In Fiscal policies to promote healthy diets: WHO guideline. สืบค้นจาก https://www.who.int/publications/i/item/9789240091016

World Health Organization. (2025). Noncommunicable diseases. สืบค้นจาก https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases?utm

Published

2026-07-17

How to Cite

พรหมมา เ., แสงโสดา ก., รักนาค ก., บุญต่อ ก., ยินดี ก., มีชัย ช., ปรึกษา ช., & ยาอุด ป. (2026). PREDICTORS OF FOOD CONSUMPTION BEHAVIORS AMONG PATIENTS WITH NON-COMMUNICABLE DISEASES IN INDIGENOUS AND ETHNIC COMMUNITIES, PHAYAO PROVINCE. Primary Health Care Journal (Northern Edition), 36(2), 167–181. Retrieved from https://thaidj.org/index.php/NRTC/article/view/17120

Issue

Section

Original Article (นิพนธ์ต้นฉบับ)