การวิเคราะห์องค์ประกอบเชิงสำรวจของแบบประเมินพฤติกรรมการควบคุมระดับน้ำตาลในเลือดของผู้ป่วยโรคเบาหวานชนิดที่ 2 ที่รักษาในโรงพยาบาลกันทรลักษ์ จังหวัดศรีสะเกษ

Yoavadee  Suwannaka; Pinpinat  Srisawas; Yuphawadee Sae-tia; Chutchavarn  Wongsaree; Kanchita Sermsinsiri; Thanannipha Phaksuknithiwat

Authors

Yoavadee Suwannaka Division of Adult and Geriatric Nursing , Faculty of Nursing, North Bangkok University
Pinpinat Srisawas Division of Adult and Geriatric Nursing, Faculty of Nursing, Chiang Rai Rajabhat University
Yuphawadee Sae-tia Kantharalak Hospital
Chutchavarn Wongsaree Division of Adult and Geriatric Nursing , Faculty of Nursing, North Bangkok University
Kanchita Sermsinsiri Division of Community Health Nursing, Boromarajonani College of Nursing Nopparat Vajira
Thanannipha Phaksuknithiwat Faculty of Nursing, Western University, Buriram

Keywords:

controlled glycemic behavior, type 2 diabetes mellitus, exploratory factor analysis

Abstract

The purpose of this research was to analyze the exploratory components of the glycemic control behavior assessment of patients with type 2 diabetes mellitus (Type 2 DM). The sample consisted of 210 Type 2 DM patients treated at Kantharalak Hospital, Sisaket Province. The sample was selected by simple random sampling. Data were collected using self-administered questionnaires on glycemic control behaviors of Type 2 DM patients. The four-scale Likert’s questionnaire used as a research instrument had a content validity index ranging from .84 to .96, and the Cronbach’s alpha coefficient was .90. The data were analyzed using exploratory factor analysis, employing principal component analysis and the varimax orthogonal method.

The results revealed five essential components of glycemic control behaviors in Type 2 DM patients: 1) exercise behavior, 2) stress management behavior, 3) food control behavior, 4) diabetes medication use behavior, and 5) general health care behavior. These were 22 indicators, with factor loadings ranging from .503 to .841. All components collectively explained 62.36 percent of the glycemic control behaviors of the patients.

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References

Aekplakorn, W., Puckcharern,H., & Satheannoppakao, W. (2021). The 6th survey of Thai public health by physical examination 2019-2020. Retrieved from https://www.rama.mahidol.ac.th/nurturing_talent/sites/default/files/public/img/Researchcamp-bigdata/yr2565/NHES6_Rama_ResearchCamp18May22.pdf

Aekplakorn, W., Chariyalertsak, S., Kessomboon, P., Assanangkornchai, S., Taneepanichskul, S., & Putwatana, P. (2018) Prevalence of diabetes and relationship with socioeconomic status in the Thai population: National health examination survey, 2004–2014. Journal of Diabetes Research, 1654530.

Almomani, M. H., & Al-Tawalbeh, S. (2022). Glycemic control and its relationship with diabetes self-care behaviors among patients with type 2 diabetes in Northern Jordan: A cross-sectional study. Patient Preference and Adherence, 449-465.

Buathongkhamwisat, P., Pinchaleaw, D., & Moolsart, S. (2017). The effectiveness of self-management program on type 2 diabetes patients in Thakor, Maesuai district, Chiang Ria province. Journal of The Police Nurses, 9(1), 105-116.

Buraphunt, R., & Muangsom, N. (2013). Factors affecting uncontrolled type 2 diabetes mellitus of patients in Sangkhom hospital, Udonthani province. KKU Journal for Public Health Research, 6(2), 102-109.

DeVellis, R. F. (2016). Scale development: Theory and applications (4th ed.). Los Angeles, CA: Sage.

Diabetes Association of Thailand. (2017). Clinical practice diabetic guideline 2017. Bangkok: Romyen.

Forjuoh, S. N., Bolin, J. N., Huber Jr, J. C., Vuong, A. M., Adepoju, O. E., Helduser, J. W., . . . Ory, M. G. (2014). Behavioral and technological interventions targeting glycemic control in a racially/ethnically diverse population: A randomized controlled trial. BMC Public Health, 14(1), 1-12.

International Diabetes Federation. (2021). Diabetes Atlas 2021 (10th ed.). The International Diabetes Federation, Annual report.

Lin, S. H., Cheng, P. C., Te Tu, S., Hsu, S. R., Cheng, Y. C., & Liu, Y. H. (2018). Effect of metformin monotherapy on serum lipid profile in statin-naïve individuals with newly diagnosed type 2 diabetes mellitus: A cohort study. PeerJ, 6, e4578.

Saotong, T., Pichayapinyo, P., & Lagampan, S. (2020). Effects of behavior change on glycemic control in type 2 diabetes patients with uncontrolled blood sugar. Journal of Health and Nursing Research, 36(3), 19-32.

Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., . . . IDF Diabetes Atlas Committee. (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas. Diabetes Research and Clinical Practice, 157, 107843.

Sisaket Provincial Public Health Office. (2022). NCD Clinic Plus indicator report 2022. Division of Non-Communicable Diseases, Department of Disease Control, Ministry of Public Health.

Sayuen, C., Phengphol, N., Wannapuek, P., Sonthitham, K., Discharoen, K., Hasiri, N., . . . Chabtakhe, N. (2020). Stress and stress coping of patients with chronic illness in a community, Roi Et province. Journal of Sakon Nakhon Hospital, 23(3), 67-76.

Sharma, K., Akre, S., Chakole, S., & Wanjari, M. B. (2022). Stress-induced diabetes: A Review. Cureus, 14(9), e29142.

Soper, D. S. (2023). A-priori sample size calculator for structural equation models [Software]. Retrieved from https://www.danielsoper.com/statcalc

Sroison, S., Rueanko, A., Ngaoratsame, J., Janwiji, S., Fuongtong, P., & Kaewtankham, K. (2020). Self-care behavior among patients with type 2 diabetes mellitus. Journal of Disease and Health Risk DPC.3, 14(1), 35-47.

Srisatidnarakul, B. (2010). The methodology in nursing research. Bangkok: U&I Inter Media.

Tunsuchart, K., Lerttrakarnnon, P., Srithanaviboonchai, K., Likhitsathian, S., & Skulphan, S. (2020). Type 2 diabetes mellitus related distress in Thailand. International Journal of Environmental Research and Public Health, 17, e2329.

Yom-Tov, E., Feraru, G., Kozdoba, M., Mannor, S., Tennenholtz, M., & Hochberg, I. (2017). Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system. Journal of Medical Internet Research, 19(10), e338. https://doi.org/10.2196/jmir.7994

World Health Organization. (2016). Global report on diabetes. MEO Design & Communication: Geneva, Switzerland.