CMIST, University of Manchester, Humanities Bridgeford Street Building, Oxford Road, Manchester, M13 9PL, United Kingdom.
Public Health. 2017 Jan;142:7-14. doi: 10.1016/j.puhe.2016.09.034. Epub 2016 Nov 10.
Using longitudinal data, we investigate whether deterioration and improvement in self-reported vision among people aged 50 years and older in England experience subsequent changes in various aspects of economic, psychological and social well-being.
Longitudinal random effects modelling.
We used six waves of the biennial English Longitudinal Study of Ageing spanning 2002-2012. Self-reported vision change was classed as an increase or decrease in self-reported level of vision between each wave and effects on depression, satisfaction with life, quality of life, social engagement and equivalized income were examined. Models were adjusted for health, employment and wealth.
All well-being outcomes worsened among respondents experiencing deterioration in self-reported vision, and declined most among individuals with the poorest self-reported vision at baseline and follow-up. Results were significant in fully adjusted models for those deteriorating from optimal to suboptimal vision levels. Improvement in self-reported vision was associated with significantly better satisfaction with life, quality of life and social engagement when the improvement was from suboptimal to optimal vision levels.
Preventing deterioration in vision is the best means of ensuring well-being is not negatively affected by changes to sight. In addition, ensuring vision problems are corrected where possible may lead to improvements in well-being.
利用纵向数据,我们调查了英格兰 50 岁及以上人群自我报告视力恶化和改善后,其经济、心理和社会福祉的各个方面是否会随之发生变化。
纵向随机效应模型。
我们使用了 2002-2012 年期间每两年进行一次的英国老龄化纵向研究的六轮数据。自我报告的视力变化被归类为每轮之间自我报告的视力水平的增加或下降,并且还研究了对抑郁、生活满意度、生活质量、社会参与度和均等化收入的影响。模型调整了健康、就业和财富因素。
在自我报告视力下降的受访者中,所有福祉结果都恶化了,而在基线和随访时自我报告视力最差的个体中下降幅度最大。在完全调整的模型中,那些从最佳视力水平下降到次优视力水平的个体,结果具有统计学意义。当自我报告的视力从次优提高到最佳水平时,改善自我报告的视力与生活满意度、生活质量和社会参与度显著提高相关。
预防视力下降是确保视力变化不会对幸福感产生负面影响的最佳手段。此外,确保尽可能纠正视力问题可能会导致幸福感的提高。