WORLD JOURNAL OF PLASTIC SURGERY
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Volume 11, Issue 1 (2022)
WJPS 2022, 11(1): 73-80 |
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Ramandi S D, Irandoust K, Hashempour R, Talebianpour H, Yahyavi Dizaj J, Moghimi F et al . Inequality in Cosmetic Services and Surgery among Iranian Households in 2019: A Decomposition Analysis. WJPS 2022; 11 (1) :73-80
URL: http://wjps.ir/article-1-890-en.html
URL: http://wjps.ir/article-1-890-en.html
Sajad Darzi Ramandi1 
, Kamran Irandoust2 , Reza Hashempour3 , Hamid Talebianpour4 , Jafar Yahyavi Dizaj4 , Fatemeh Moghimi4 , Ali Kazemi-Karyani * 5
, Kamran Irandoust2 , Reza Hashempour3 , Hamid Talebianpour4 , Jafar Yahyavi Dizaj4 , Fatemeh Moghimi4 , Ali Kazemi-Karyani * 5
1- 1- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2- 2- Department of Health Economics, School of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran
3- 3- Vice-chancellor’s Office in Treatment Affairs, Esfarayen Faculty of Medical Sciences, Esfarayen, Iran
4- 4- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
5- 5- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
2- 2- Department of Health Economics, School of Management and Medical Information, Iran University of Medical Sciences, Tehran, Iran
3- 3- Vice-chancellor’s Office in Treatment Affairs, Esfarayen Faculty of Medical Sciences, Esfarayen, Iran
4- 4- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
5- 5- Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Abstract: (2857 Views)
Background
The demand for cosmetic surgery is on the rise worldwide, making it the common form of surgery globally while the use of cosmetic surgery being exponentially high in Iran. The aim of this study was to investigate inequality in the use of cosmetic services and surgery (CSS) among Iranian households concerning demographic and socio-economic characteristics.
Methods
This study used data of 38960 Iranian household from the income-expenditure survey of the statistical center of Iran (SCI) in 2019. Concentration index (C) was used to measure inequalities in the use of CSS. Microsoft Excel sheet 2019 was used to extract the data, and the analysis was performed using Stata statistical package version 14.2.
Results
Households with female head, with single head, households with 3 - 4 people, headed with undergraduate education person, households with insurance coverage, with higher socio-economic quintiles, rural households and residents of northwestern Iran were accounted for the highest use of CSS. Also, according to the decomposition analysis, wealth and education level are the two main factors in creating inequality, with wealth, having the highest positive share (88.11%) and education level having the most negative share (-5.26%) in creating measured inequality.
Conclusion
The use of CSS is more concentrated in well-off households in Iran. As the resources of health system are limited, the government and the policy makers should have defined plans with regards to CSS use especially taking factors like socioeconomic status and education status of target groups in to account.
The demand for cosmetic surgery is on the rise worldwide, making it the common form of surgery globally while the use of cosmetic surgery being exponentially high in Iran. The aim of this study was to investigate inequality in the use of cosmetic services and surgery (CSS) among Iranian households concerning demographic and socio-economic characteristics.
Methods
This study used data of 38960 Iranian household from the income-expenditure survey of the statistical center of Iran (SCI) in 2019. Concentration index (C) was used to measure inequalities in the use of CSS. Microsoft Excel sheet 2019 was used to extract the data, and the analysis was performed using Stata statistical package version 14.2.
Results
Households with female head, with single head, households with 3 - 4 people, headed with undergraduate education person, households with insurance coverage, with higher socio-economic quintiles, rural households and residents of northwestern Iran were accounted for the highest use of CSS. Also, according to the decomposition analysis, wealth and education level are the two main factors in creating inequality, with wealth, having the highest positive share (88.11%) and education level having the most negative share (-5.26%) in creating measured inequality.
Conclusion
The use of CSS is more concentrated in well-off households in Iran. As the resources of health system are limited, the government and the policy makers should have defined plans with regards to CSS use especially taking factors like socioeconomic status and education status of target groups in to account.
References
1. Chrysopoulo M, Antonio S. what’s the difference between reconstructive and cosmetic procedures? ASPS. Available at https://www.plasticsurgery.org/news/blog/whats-the-difference-between-reconstructive-and-cosmetic-procedures (2 Jan 2022)
2. Breuning EE, Oikonomou D, Singh P, Rai JK, Mendonca DA. Cosmetic surgery in the NHS: Applying local and national guidelines. J Plast Reconstr Aesthet Surg 2010 Sep 1;63(9):1437-42. doi: 10.1016/j.bjps.2009.08.012
3. Jin X, Twayigira M, Xu H, Gao X, Huang Ch, Shen Y, and Luo X. Prevalence and Clinical Correlates of Minimally Invasive Facial Cosmetic Surgery in Chinese College Students (1/25/2021). Available at SSRN: https://ssrn.com/abstract=3774326. doi:10.2139/ssrn.3774326 .
4. Mohammadshahi M, Pourreza A, Orojlo PH, Mahmoodi M, Akbari F. Rhinoplasty as a medicalized phenomenon: a 25-center survey on quality of life before and after cosmetic rhinoplasty. Aesth Plast Surg 2014 Aug 1;38(4):615-9. doi: 10.1007/s00266-014-0323-5
5. Alizadeh M. The Modeling of The Causes of Women's Tendency to Cosmetic Surgery With Using Lisrel Software. J Ilam Uni Med Sci 2013 Dec 10;21(6):87-95.(in persian)
6. Hajiabllo K, Hallajzadeh H, Masoudnia E. Comparison of social capital among the two groups of women with a history of cosmetic surgery and without performing cosmetic surgeries in Rasht. J Appl Sociol 2018 Dec 22;29(4):167-82. doi: 10.22108/jas.2018.103670.1088.
7. Mohammadshahi M, Pourreza A, Vedadhir A, Heidari Orojlo P, Mahmodi M, Akbari F. Comparison of quality of life before and after cosmetic rhinoplasty among people who attended plastic surgery clinics and estimating its' cost in Tehran. Journal of Payavard Salamat 2016 Jul 10;10(3):258-66, (in persian).
8. Danesh Y. Investigating the effective factors on the tendency to cosmetic surgery among female students in Hormozgan University. QJSD 2016;1(2):62-79, (in persian).
9. Kalantar Hormozi A, Maleki S, Rahimi A, Manafi A, Amirizad SJ. Cosmetic surgery in Iran: sociodemographic characteristics of cosmetic surgery patients in a large clinical sample in Tehran. AJCS 2018 Dec;35(4):177-82. doi:10.1177/0748806818764734.
10. Aliehyaii F, Latifi A, Bakhtiary M. An Epidemiological Study of the Reasons for Tendency to Undergo Rhinoplasty in Tehran. Journal of Medicine and Cultivation 2013; 22(3): 9-16.
11. Park GH, Nam C, Hong S, Park B, Kim H, Lee T, Kim K, Lee JH, Kim MH. Socioeconomic factors influencing cosmetic usage patterns. J Expo Sci Environ Epidemiol 2018 May;28(3):242-50. doi: 10.1038/jes.2017.20.
12. Salehahmadi Z, Rafie SR. Factors affecting patients undergoing cosmetic surgery in bushehr, southern iran. World J Plast Surg 2012 Jul;1(2):99-106.
13. Shi L, Lebrun LA, Tsai J. Access to medical care, dental care, and prescription drugs: the roles of race/ethnicity, health insurance, and income. South Med J 2010 Jun 1;103(6):509-16. doi: 10.1097/SMJ.0b013e3181d9c2d8.
14. Amaral MH, Dao H, Shin JH. Racial and socioeconomic disparities in reduction mammoplasty: an analysis of nationwide inpatient sample database. Ann Plast Surg 2011 May;66(5):476-8. doi: 10.1097/SAP.0b013e3182185efa.
15. Scarborough JE, Bennett KM, Pietrobon R, Kuo PC, Pappas TN. Trends in the utilization of high-volume hospitals by minority and underinsured surgical patients. Am J Surg 2010 May 1;76(5):529-38.
16. Najafi F, Pasdar Y, Hamzeh B, Rezaei S, Nazar MM, Soofi M. Measuring and decomposing socioeconomic inequalities in adult obesity in Western Iran. J Prev Med Public Health 2018 Nov;51(6):289. doi: 10.3961/jpmph.18.062.
17. Wagstaff A, Van Doorslaer E, Watanabe N. On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam. Journal of Econometrics 2003 Jan 1;112(1):207-23. doi: 10.1016/S0304-4076(02)00161-6.
18. Vaughan‐Turnbull C, Lewis V. Body image, objectification, and attitudes toward cosmetic surgery. J Appl Biobehav Res 2015 Dec;20(4):179-96. doi: 10.1111/jabr.12035.
19. Kasmaei P, Hassankiade RF, Karimy M, Kazemi S, Morsali F, Nasollahzadeh S. Role of attitude, body image, satisfaction and socio-demographic variables in cosmetic surgeries of Iranian students. World J Plast Surg 2020 May;9(2):186.
20. Javo IM, Sørlie T. Psychosocial predictors of an interest in cosmetic surgery among young Norwegian women: a population-based study. Plast Reconstr Surg 2009 Dec 1;124(6):2142-8. doi: 10.1097/PRS.0b013e3181bcf290.
21. Swami V, Chamorro-Premuzic T, Bridges S, Furnham A. Acceptance of cosmetic surgery: Personality and individual difference predictors. Body Image 2009 Jan 1;6(1):7-13. doi: 10.1016/j.bodyim.2008.09.004.
22. Richetin J, Osterini D, Conner M. Predicting engaging in cosmetic surgery: A test of the role of doing and not doing cognitions. J Appl Soc Psychol 2020 Jan;50(1):53-62. doi: 10.1111/jasp.12641
23. Milothridis P, Pavlidis L, Haidich AB, Panagopoulou E. A systematic review of the factors predicting the interest in cosmetic plastic surgery. Indian J Plast Surg 2016 Sep;49(03):397-402. doi: 10.4103/0970-0358.197224
24. Wu Y, Alleva JM, Mulkens S. Factor analysis and psychometric properties of the Chinese translation of the acceptance of cosmetic surgery scale. Body Image 2020 Jun 1;33:244-56. doi: 10.1016/j.bodyim.2020.03.009
25. Tranter B, Hanson D. The social bases of cosmetic surgery in Australia. J Sociol 2015, Vol. 51(2) 189–206. doi: 10.1177/1440783313487812
26. Jung J, Hwang CS. Associations between attitudes toward cosmetic surgery, celebrity worship, and body image among South Korean and US female college students. Fash Text 3, 17 2016. doi: 10.1186/s40691-016-0069-6
27. Nguyen CQ, Tran P, Nguyen M. Factors that motivate young people’s intention to undergo cosmetic surgery in Vietnam. Int J pharm Healthc Mark 2020 Apr 10. doi: 10.1108/IJPHM-07-2018-0035
28. Jackson T, Chen H. Predictors of cosmetic surgery consideration among young Chinese women and men. Sex Roles 2015 Sep;73(5):214-30. doi: 10.1007/s11199-015-0514-9
29. Alharethy SE. Trends and demographic characteristics of Saudi cosmetic surgery patients. Saudi Med J 2017 Jul;38(7):738. doi: 10.15537/smj.2017.7.18528
30. Schlessinger J, Schlessinger D, Schlessinger B. Prospective demographic study of cosmetic surgery patients. J Clin Aesthet Dermatol 2010 Nov;3(11):30-5.
31. Jovic M, Sforza M, Jovanovic M, Jovic M. The Acceptance of Cosmetic Surgery Scale: Confirmatory factor analyses and validation among Serbian adults. Curr Psychol 2017 Dec;36(4):707-18. doi: 10.1007/s12144-016-9458-7
32. Frederick D, Yoshiura R, Scott T. Cosmetic Surgery in the U nited S tates. The Wiley Blackwell Encyclopedia of gender and sexuality studies 2016 Apr 30:1-3. doi: 10.1002/9781118663219.wbegss387.
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