Prevalence and related factors of workplace violence in subdistrict health promoting hospital in 10th regional health of Thailand

Authors

  • Piyapat Pandee
  • Wiroj Jiamjarasrangsi

Keywords:

Workplace violence, health promoting hospital, 10th regional health of Thailand

Abstract

Background: Hospitals are one of the workplaces where violence occurs frequently. Subdistrict health promoting hospital is the first checkpoint of health services and the closest contact point to local population, but there is no information about workplace in this field.

Objective: This study aimed to evaluate prevalence and related factors of workplace violence among healthcare workers.

Methods: This cross-sectional study was conducted in subdistrict health promoting hospital in 10th regional health of Thailand, during May to June 2019. A total of 395 samples were assessed by a self-administered questionnaire adapted from the survey questionnaire about workplace violence in health sector jointly proposed by the International Labour Office (ILO), World Health Organization (WHO), International Council of Nurses (ICN) and Public Services International (PSI). The prevalence of workplace violence were presented in term of percentage while the results of its related factors were presented by odds ratios (OR) and 95% confidence interval (CI).

Results: The prevalence of workplace violence was 32.2%. Among this, verbal violence was the most common (92.9%), followed by sexual violence (11.1%) and physical violence (6.3%) respectively. Concerning factors related to workplace violence, widows/ divorced/separated marital status was related to lower frequency of the event when compared to those with single status [OR = 0.35 (95% CI = 0.13 - 0.94)]. In contrary, Bachelor’s degree of education level was associated with higher frequency of the event when compared to those with lower level of education [OR = 1.98 (95% CI = 1.02 - 3.84)].

Conclusion: The prevalence of workplace violence among healthcare workers in subdistrict health promoting hospitals is common. Therefore, relevant measures should be implemented to ameliorate this problem and improve work morale of the local healthcare workforce.

Downloads

Download data is not yet available.

References

Imperatori C, Fabbricatore M, Vumbaca V, Innamorati M, Contardi A, Farina B. Food Addiction: definition, measurement and prevalence in healthy subjects and in patients with eating disorders. Riv Psichiatr 2016;51:60-5.

Meule A. Back by Popular Demand: A Narrative Review on the History of Food Addiction Research. Yale J Biol Med 2015;88:295-302.

Nunes-Neto PR, Kohler CA, Schuch FB, Solmi M, Quevedo J, Maes M, et al. Food addiction: Prevalence, psychopathological correlates and associations with quality of life in a large sample. J Psychiatr Res 2018;96:145-52. https://doi.org/10.1016/j.jpsychires.2017.10.003

Ayaz A, Nergiz-Unal R, Dedebayraktar D, Akyol A, Pekcan AG, Besler HT, et al. How does food addiction influence dietary intake profile? PLoS One 2018;13:e0195541.

https://doi.org/10.1371/journal.pone.0195541

Swanson DW, Dinello FA. Follow-up of patients starved for obesity. Psychosom Med 1970;32:209-14.

https://doi.org/10.1097/00006842-197003000-00007

Yang F, Liu A, Li Y, Lai Y, Wang G, Sun C, et al. Food Addiction in Patients with Newly Diagnosed Type 2 Diabetes in Northeast China. Front Endocrinol (Lausanne) 2017;8:218.

https://doi.org/10.3389/fendo.2017.00218

Yau YH, Potenza MN. Stress and eating behaviors. Minerva Endocrinol 2013;38:255-67.

Flint AJ, Gearhardt AN, Corbin WR, Brownell KD, Field AE, Rimm EB. Food-addiction scale measurement in 2 cohorts of middle-aged and older women. Am J Clin Nutr 2014;99:578-86.

https://doi.org/10.3945/ajcn.113.068965

Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite 2009;52:430-6. https://doi.org/10.1016/j.appet.2008.12.003

Schulte EM, Gearhardt AN. Development of the Modified Yale Food Addiction Scale Version 2.0. Eur Eat Disord Rev 2017;25:302-8. https://doi.org/10.1002/erv.2515

Phakthongsuk P. Construct validity of the Thai version of the job content questionnaire in a large population of heterogeneous occupations. J Med Assoc Thai 2009;92:564-72.

Pedram P, Wadden D, Amini P, Gulliver W, Randell E, Cahill F, et al. Food addiction: its prevalence and significant association with obesity in the general population. PLoS One 2013;8:e74832.

https://doi.org/10.1371/journal.pone.0074832

Brunault P, Ballon N, Gaillard P, Reveillere C, Courtois R. Validation of the French version of the yale food addiction scale: an examination of its factor structure, reliability, and construct validity in a nonclinical sample. Can J Psychiatry 2014;59:276-84. https://doi.org/10.1177/070674371405900507

Hauck C, Weiss A, Schulte EM, Meule A, Ellrott T. Prevalence of 'Food Addiction' as Measured with the Yale Food Addiction Scale 2.0 in a Representative German Sample and Its Association with Sex, Age and Weight Categories. Obes Facts 2017;10:12-24. https://doi.org/10.1159/000456013

Raymond KL, Lovell GP. Food addiction associations with psychological distress among people with type 2 diabetes. J Diabetes Complications 2016;30:651-6. https://doi.org/10.1016/j.jdiacomp.2016.01.020

Shen HC, Cheng Y, Tsai PJ, Lee SH, Guo YL. Occupational stress in nurses in psychiatric institutions in Taiwan. J Occup Health 2005;47:218-25. https://doi.org/10.1539/joh.47.218

Sinha R, Jastreboff AM. Stress as a common risk factor for obesity and addiction. Biol Psychiatry 2013;73:827-35. https://doi.org/10.1016/j.biopsych.2013.01.032

Downloads

Published

2023-08-03

How to Cite

1.
Pandee P, Jiamjarasrangsi W. Prevalence and related factors of workplace violence in subdistrict health promoting hospital in 10th regional health of Thailand. Chula Med J [Internet]. 2023 Aug. 3 [cited 2024 May 20];64(4). Available from: https://he05.tci-thaijo.org/index.php/CMJ/article/view/257