邻里(数学)
感觉
心理干预
贫穷
生活满意度
心理学
感知
燃料贫困
逻辑回归
幸福
社会心理学
应用心理学
老年学
医学
经济增长
经济
数学分析
协议(科学)
替代医学
数学
病理
神经科学
精神科
内科学
心理治疗师
作者
Gesche Huebner,Tadj Oreszczyn,Kenan Direk,Ian Hamilton
标识
DOI:10.1016/j.jenvp.2022.101763
摘要
This paper assesses how subjective wellbeing is related to housing and neighbourhood characteristics, controlling for personal variables. The secondary data analysis was based on the English Housing Survey, 2017: Housing Stock Data and the English Housing Survey: Fuel Poverty Dataset, 2017, collected in the period April 2016 to March 2018 (N = 9205). Subjective wellbeing was measured with four variables - life satisfaction, the perception of things being worthwhile in life, feeling happy and feeling anxious - that were dichotomized into low and high wellbeing. Logistic regression analysis showed that personal variables are most strongly related to wellbeing but that both housing and neighbourhood variables are also significantly related to it. Finding it difficult to keep the living room warm, being in fuel poverty, and finding it difficult to meet heating costs were associated with lower wellbeing. Low area satisfaction and not feeling safe were also significantly associated with lower wellbeing. The effects of variables are not constant across all four wellbeing measures used which raises the question 'which wellbeing' should be addressed. Results also showed that targeting householders with lowest wellbeing and hence in greatest need of wellbeing interventions based on publicly available data would be challenging. Finally, the research community needs to address methodological challenges around identifying the most appropriate covariates, defining wellbeing and considering the measurement of key variables.
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