加拿大和英国老年人多重发病的时间趋势及其对就业的影响:理解代际和社会不平等

L. Bentley, Q. Liao, Benjamin Barr, Cameron Mustard
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摘要

在大多数国家,由于人口老龄化,政策制定者正在寻求提高人们有资格领取国家养老金的年龄。老龄化社会的另一个特点是患有慢性病和多种疾病的人数增加,这可能影响到以后的就业。在评估这对接近退休年龄的工人的就业状况的影响之前,本研究考察了年龄、出生队列和社会经济地位的多重发病率。它提出了英国和加拿大的比较分析,并讨论了各自采取的不同政策,对老年工人与慢性疾病。方法:我们使用英国健康调查和加拿大社区健康调查,按性别、教育水平和两个出生队列:沉默一代(1946年以前)和婴儿潮一代(1946-1964年),估计50至64岁人群的多病患病率(由6大类疾病组成)。估计了每一种疾病的患病率和代际间特定合并症的变化。最后,评估了多重发病与就业状况(就业与否)之间的关系。每个分析都使用逻辑回归模型。结果多病患病率在代际间呈上升趋势,特别是在英国受教育程度较低的人群和加拿大受教育程度较高的人群中。随着条件数量的增加,就业的可能性降低。虽然在英国和加拿大,没有条件的人的就业率相似,但在英国,拥有不止一种条件的人的负面影响更大。例如,在英国,受教育程度低的沉默一代女性(3+条件)比没有健康条件的女性就业的可能性要小得多(优势比为0.095(0.071-0.128),而在加拿大,受教育程度低的沉默一代女性的优势比为0.318(0.235-0.431))。研究发现,多重发病对就业的影响在几代人之间是相似的。多重疾病的增加可能导致就业前景下降,特别是在英格兰受教育程度较低的群体中。许多国家都面临着人口老龄化的挑战。多病对老年工人就业的影响尚未得到充分研究,尽管它提出了一系列挑战,这些挑战可能加剧现有的社会不平等,因为它们集中在地位较低的群体中,并与就业前景下降有关。本文提出的研究表明,不同的政策方法可能有效地改善这些不平等。
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OP26 Temporal trends in multi-morbidity and how it impacts employment among older adults in canada and england: understanding generational and social inequalities
Background In most countries policy makers are seeking to raise the age at which people become eligible for state pensions due to population aging. Aging societies are also characterised by an increase in the number of people are living with chronic conditions and multi-morbidity which can affect employment later in life. This study examines the prevalence of multi-morbidity by age, birth-cohort, and socioeconomic status before assessing the impact that this has on employment status for workers approaching retirement age. It presents a comparative analysis of the UK and Canada and discusses the different policies that each have adopted regarding older workers with chronic conditions. Methods We estimate the prevalence of multi-morbidity (composed of 6 broad categories of disease) for those aged between 50 and 64, by sex, educational level, and by two birth cohorts: the silent generation (pre-1946) and the baby boomers (1946–1964), using the Health Survey for England and the Canadian Community Health Survey. The prevalence of each condition and the changes in specific comorbidities between the generations were estimated. Finally, the association between multi-morbidity on the employment status (in employment or not) is assessed. Each of the analyses uses logistic regression models. Results Prevalence of multi-morbidities has increased between generations, particularly for the lower educated in England and higher educated groups in Canada. As the number of conditions increased the probability of being in employment decreased. While employment rates are similar for people with no-conditions in the UK and Canada there was a more negative impact of having more than one condition in the UK. For example, silent generation women with a low education in the England with 3+ conditions were much less likely to be employed than women with no health conditions (odds ratio of 0.095 (0.071–0.128), whilst the effect was lower for low educated silent generation women in Canada 0.318 (0.235–0.431)). The consequences of multi-morbidity for employment was found to be similar between generations. The increase in multi-morbidities may have led to reduced employment prospects particularly amongst the less educated groups in England. Conclusion Many countries are facing the challenge of an aging population. The effect of multi-morbidity on employment for older workers has been understudied even though it presents a set of challenges which risk exacerbating existing social inequalities because they are concentrated among less advantaged groups and associated with reduced employment prospects. The research presented here suggests that different policy approaches might be effective in ameliorating these inequalities.
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