Main Article Content
Purpose: To study the predictive power of personal factors, stress level, health perception, patient-provider communication, and self-efficacy on obese self-management behaviors in patients with overweight at outpatient department in a university hospital.
Design: Correlational predictive study.
Methods: A total of 105 patients with overweight came to visit the physician at the outpatient department of a university hospital in Bangkok, Thailand were recruited in the study. The research instruments include questionnaires of demographic form, stress level, health perception, patient-provider communication, self-efficacy, and obese self-management behaviors. Data were analyzed by using descriptive statistics, Spearman Rho correlation, Pearson’s product moment correlation, and multiple regressions.
Main Findings: The findings showed that the participants mean age was 56.19 years (SD = 16.48). Majority was female (53.3%). Overall the participants had moderate stress level ( = 2.56, SD = 0.88), moderate health perception ( = 48.20, SD = 6.33), good patient-provider communication ( = 81.64, SD = 14.65), high self-efficacy ( = 88.83, SD = 17.52), and moderate obese self-management behaviors ( = 83.87, SD = 7.35), In multiple regression analysis, all variables jointly accounted for 70.4% of the variance in obese self-management behaviors (Adjusted R2 = .704, Stress (β = - .634 p < .001). High school and vocational education (β = - .392, p < .001), patient-provider communication (β = .353, p < .001), Self-efficacy (β = .246, p < .05), and no education and elementary school (β = .224, p < .01) were the statistical significant predictors of obese self-management behaviors.
Conclusion and recommendations: Nurses should develop nursing interventions for reducing stress, improving patient-provider communication, and increasing self-efficacy in order to promote obese self-management behaviors of patients with overweight at the outpatient department especially in high school and vocational education group.
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Jitnarin N, Kosulwat V, Rojroongwasinkul N, Boonpraderm A, Haddock CK, Poston WSC. Prevalence of overweight and obesity in Thai population: results of the National Thai Food Consumption Survey. Eat Weight Disord. 2011;16(4):e242–9. doi: 10.1007/BF03327467.
World Health Organization. Obesity and overweight [Internet]. Geneva: WHO; 2018 [cited 2018 Jun 24]. Available from: http://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight.
Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity and severe obesity among adults: United States, 2017–2018 [Internet]. Hyattsville, MD: National Center for Health Statistics: 2020 [cited 2020 July 3]. Available from: https://www.cdc.gov/nchs/products/databriefs/db360.htm.
Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual medical spending attributable to obesity: payer and service-specific estimates. Health Affair. 2009;28 Suppl 1:w822-31. doi: 10.1377/hlthaff.28.5.w822.
Aekplakorn E. Thai National Health Examination Survey, NHES V. Nonthaburi: Health Research institute. 2014. 283 p. (in Thai).
Vijitsuntronkul K. Hypertension in the survey of risk behavior non-communicable diseases and injuries 2015. In: Sawatdimongkol S, editor. Annual report 2015: Bureau of Non Communicable Disease. Bangkok: The War Veterans Organization of Thailand Officer of Printing Mill; 2016. p.20-6. (in Thai).
National Institute of Diabetes and Digestive and Kidney Disease. Health risks of being overweight [Internet]. Phoenix, AZ: NIDDK; 2020 [cited 2020 Mar 2]. Available from: https://www.niddk.nih.gov/health-information/weight-management/health-risks-overweight.
Kantachuvessiri A. Obesity in Thailand. J Med Assoc Thai. 2005;88(4):554-62.
WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157-63. doi: 10.1016/S0140-6736(03)15268-3.
Center of Disease Control and Prevention. Defining about overweight and obesity [Internet]. Atlanta, GA: CDC; 2020 [cited 2020 Jun 30]. Available from: https://www.cdc.gov/obesity/adult/defining.html#:~:text=If%20your%20BMI%20is%20less,falls%20within%20the%20obese%20range.
Creer TL. Self-management of chronic illness. In: Doekaret M, Printrich PR, Zeidner M, editors. Handbook of self-regulation. San Diego, CA: Academic Press; 2000. p.601-29.
Lorig KR, Holman H. Self-management education: history, definition, outcomes, and mechanisms. Ann Behav Med. 2003;26(1):1-7. doi: 10.1207/S15324796ABM2601_01.
Bandura A. Self-efficacy: the exercise of control. New York: W.H. Freeman. 1997. 604 p.
Langlarlertsakul M, Imamee N, Therawiwat M, Kengganpanich T. Factors predicting self-care behavior on diet and exercise of diabetes risk goup, Phuket Province, Thailand. Journal of Public Health. 2013;43(1):55-67. (in Thai).
Boontein P, Saneha C. Factors predicting metabolic selfmanagement behavior among patients with metabolic syndrome at one university hospital in Bangkok. Journal of Nursing Science. 2017;35(3):70-81. (in Thai).
Khuneepong A. Predicting factors of overweight prevention behaviors among graduate students. Journal of Safety and Health. 2017;10(37):58-66. (in Thai).
Chaiwong N, Duangpaeng S, Masingboon K. Factors influencing self-management behaviors among acute myocardial infarction patients. Thai Pharmaceutical and Health Science Journal. 2014;9(3):112-9. (in Thai).
Phetarvut S, Watthayu N, Suwonnaroop N. Factors predicting diabetes self-management behavior among patients with diabetes mellitus type 2. Journal of Nursing Science. 2011;29(4):18-26. (in Thai).
Ardkhitkarn S, Pothiban L, Lasuka D. Self–management behaviors and predicting factors in elders with end stage renal disease undergoing continuous ambulatory peritoneal dialysis. Nursing Journal. 2013;40 Suppl:22-32. (in Thai).
Orem DE. Nursing concepts of practice. St. Louis: Mosby; 2001. 542 p.
Puttaruk P, Kongkhum S, Siripurkpong P. Prevalence and risk factors of metabolic syndrome among Thammasat University personnels. Songklanagarind Medical Journal. 2012;30(3):123-34. (in Thai).
Boontein P, Anuritpresert B, Saneha C. Factors related to metabolic syndrome among patients at outpatient department. Journal of Nursing Science. 2017;35(4):74-86. (in Thai).
Barringtom WE, Ceballos RM, Bishop SK, McGregor BA, Beresford SAA. Perceived stress, behavior, and body mass index among adults participating in a worksite obesity prevention program, Seattle, 2005-2007. Prev Chronic Dis. 2012;9:E152. doi: 10.5888/pcd9.120001.
Polit DF, Beck CT. Nursing research: generating and assessing evidence for nursing practice. 10th ed. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins. 2017. 784 p.
Wattana C. Self-management support: strategies for promoting disease control. Journal of Phrapokklao Nursing College. 2015;26 Suppl 1:117-27. (in Thai).
Liou D, Kulik L. Self-efficacy and psychosocial considerations of obesity risk reduction behaviors in young adult Americans. PLoS One. 2020;15(6):e0235219. doi: 10.1371/journal.pone.0235219.
Mahachote L. Factors influencing body weight control behaviors of aerobics club member
in mueang district, Nakhon Pathom Province. Veridian E-Journal, Silpakorn University. 2015:8(2);2833-43. (in Thai).