The multicultural conceptualisation of well-being

BMC Public Health(2023)

引用 0|浏览1
暂无评分
摘要
Background Exploring and understanding indicators of better life outcomes have remained popular among social and health researchers. However, the subjective approach to measuring well-being has raised questions on the appropriateness of standard measures of well-being in multicultural settings. The current study examines generalised well-being and its dependence on the implicit understanding of individual culture and circumstances. Methods A mixed-method approach with a cross-sectional design and focus group discussions was adopted. Fifteen focus group discussions with 66 participants were conducted in four provinces of South Africa. Descriptive statistics, correlations, regression analysis and analysis of variance were computed for quantitative data. The focus group discussions were analysed using a content analysis approach. The recorded focus group discussions were transcribed using the intelligent verbatim technique. Data analysis was done stepwise using open, axial, and selective coding techniques. Results Quantitative analysis showed a strong and significant association between quality of life and income and a moderate association with educational attainment. The open coding technique for qualitative data confirmed 11 different subconstructs of well-being, mentioned 403 times during the 15 focus group discussions. Furthermore, well-being indicators varied based on participants’ racial identity. Conclusions The findings confirm personal circumstance and culture as significant for interpreting results from well-being research. Furthermore, it supports Maslow’s Hierarchy of Needs, highlighting the movement from deficiency needs to growth needs after deficiency needs are met. Research must adopt a more sociological approach to improve the accuracy and implementibility of findings when using standardised measures of well-being.
更多
查看译文
关键词
multicultural conceptualisation,well-being
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要