Socioeconomic Inequalities in Subjective Well-Being in Hungary
Author(s)
Nguyen T1, Rencz F2, Brodszky V3
1Hue University of Medicine and Pharmacy, Hue University, Budapest, PE, Hungary, 2Corvinus University of Budapest, Department of Health Economics, Budapest, Hungary, 3Corvinus University of Budapest, Department of Health Economics, Budapest, PE, Hungary
Presentation Documents
OBJECTIVES: A robust understanding of well-being inequalities is recognized as a critical factor in promoting social justice and decreasing disparities in well-being outcomes. This study aims to analyse the socioeconomic inequalities in subjective well-being (SWB) and to explore determinants of well-being inequality among the Hungarian adult general population. METHODS: The data originated from a large cross-sectional, internet-based broadly representative survey in Hungary conducted in 2020. A total of 2001 respondents were enrolled to the study (men 46.9%; age range: 18-87). We applied validated multi-item instruments for measuring subjective well-being, namely Satisfaction with Life Scale (SWLS) and the 5-item World Health Organization Well-Being Index (WHO-5). Raw scores on these two measures were transformed to a 0-1 scale. ANOVA was used to examine the differences between subgroups. The concentration index (CI) was used to measure the degree of income-related inequality in well-being. RESULTS: The means ± SD of SWLS and WHO-5 scores were 0.51 ± 0.21 and 0.51 ± 0.23, respectively. Using both SWB measures, having a higher income level, a higher educational level, or living with a spouse/partner tended to increase well-being (p<0.05). Respondents living in n county towns had higher mean ± SD WHO-5 (0.54 ± 0.21) compared to those living in other towns (0.50 ± 0.21), or villages (0.50 ± 0.21) (p<0.05). The CI of WHO-5 scores was lower than that of SWLS scores both in the total sample (0.0371 vs. 0.0707) and in subgroups by sex (male: 0.0469 vs. 0.0889, female: 0.0237 vs.0.0582). The positive concentration index values implied a slight pro-rich inequality in this population. CONCLUSIONS: To protect against the subsequent adverse effect of lower socioeconomic status on subjective well-being, we recommend the potential interdisciplinary researches regarding socioeconomic inequalities and well-being to support the development and evaluation of relevant policies.
Conference/Value in Health Info
2021-05, ISPOR 2021, Montreal, Canada
Value in Health, Volume 24, Issue 5, S1 (May 2021)
Code
PNS32
Topic
Health Policy & Regulatory
Topic Subcategory
Health Disparities & Equity
Disease
No Specific Disease