Factors Influencing Obese Self-management Behaviors in Patients with Overweight at Outpatient Department in a University Hospital, Bangkok Metropolitan
Article Sidebar
Main Article Content
Abstract
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.
Article Details
Copyright Notice: Nursing Science Journal of Thailand has exclusive rights to publish and distribute the manuscript and all contents therein. Without the journal’s permission, the dissemination of the manuscript in another journal or online, and the reproduction of the manuscript for non-educational purpose are prohibited.
Disclaimer: The opinion expressed and figures provided in this journal, NSJT, are the sole responsibility of the authors. The editorial board bears no responsibility in this regard.
References
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).