Associations of non-employment with common mental disorder subcomponents among working age population: analysis of national data from 1993, 2000, 2007 and 2014.

IF 2.5 4区 医学 Q2 PSYCHIATRY
Gayan Perera, Ktddp Jayapala, Mizanur Khondoker, Karen Glaser, Giorgio Di Gessa, Robert Stewart
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Abstract

Background: Associations between employment status and mental health are well-recognised and such associations may have multiple modifying factors which may also contribute to variations in results.

Aims: We aimed to investigate associations between non-employment and CMD subcomponents and the extent of their variation across age groups using nationally representative data in Britain.

Method: We used a series of national mental health surveys of adults living in private households: the British National Surveys of Psychiatric Morbidity of 1993, 2000, 2007 and 2014. Employment status was the primary exposure of interest. Presence or absence of each fourteen symptoms of common mental disorder (CMD), as the primary outcome, was ascertained identically in all surveys from the revised Clinical Interview Schedule (CIS-R). Odds ratio for the association between exposure and outcome and population attributional fractions (PAFs) for each association was calculated.

Results: Within the highest-risk 45 to 54 years age group, all odds ratios were statistically significant and strongest associations were observed with panic symptoms (OR = 2.33), followed by depressive symptoms (1.90), worry about physical health (1.84), depression (1.82), forgetfulness (1.82) and somatic symptoms (1.70). In the 55 to 64 years age group, highest population attributable fractions were observed for non-employment as a hypothetical risk factor for panic symptoms (51.7%), phobias (44.2%), forgetfulness (39.5%), depressive symptoms (38.5%), worries about physical health (37.9%) and somatic symptoms (36.0%).

Conclusions: The particularly high impact in middle-aged, pre-retirement groups of non-employment on CMD suggests a policy focus on alleviating stressors and providing support for those made redundant and/or compelled to take unwanted early retirement.

工作年龄人口中的非就业与常见精神障碍分项的关联:1993、2000、2007 和 2014 年全国数据分析。
背景:目的:我们的目的是利用英国具有全国代表性的数据,研究非就业与慢性阻塞性肺病亚组分之间的关联及其在不同年龄组之间的变化程度:我们使用了一系列针对居住在私人家庭中的成年人的全国精神健康调查:1993 年、2000 年、2007 年和 2014 年英国全国精神病发病率调查。就业状况是主要关注点。是否患有常见精神障碍(CMD)的十四种症状是主要结果,在所有调查中均使用修订版临床访谈表(CIS-R)确定。计算了暴露与结果之间关联的比值比以及每种关联的人群归因分数(PAFs):在风险最高的 45 至 54 岁年龄组中,所有几率比均有统计学意义,与恐慌症状(OR = 2.33)的关联性最强,其次是抑郁症状(1.90)、担心身体健康(1.84)、抑郁(1.82)、健忘(1.82)和躯体症状(1.70)。在 55 至 64 岁年龄组中,未就业作为恐慌症状(51.7%)、恐惧症(44.2%)、健忘(39.5%)、抑郁症状(38.5%)、担心身体健康(37.9%)和躯体症状(36.0%)的假定风险因素,其人口可归因分数最高:在中年、退休前群体中,不就业对慢性阻塞性肺病的影响特别大,这表明政策重点应放在减轻压力因素上,并为那些被裁员和/或被迫提前退休的人提供支持。
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来源期刊
CiteScore
12.30
自引率
1.30%
发文量
120
期刊介绍: The International Journal of Social Psychiatry, established in 1954, is a leading publication dedicated to the field of social psychiatry. It serves as a platform for the exchange of research findings and discussions on the influence of social, environmental, and cultural factors on mental health and well-being. The journal is particularly relevant to psychiatrists and multidisciplinary professionals globally who are interested in understanding the broader context of psychiatric disorders and their impact on individuals and communities. Social psychiatry, as a discipline, focuses on the origins and outcomes of mental health issues within a social framework, recognizing the interplay between societal structures and individual mental health. The journal draws connections with related fields such as social anthropology, cultural psychiatry, and sociology, and is influenced by the latest developments in these areas. The journal also places a special emphasis on fast-track publication for brief communications, ensuring that timely and significant research can be disseminated quickly. Additionally, it strives to reflect its international readership by publishing state-of-the-art reviews from various regions around the world, showcasing the diverse practices and perspectives within the psychiatric disciplines. This approach not only contributes to the scientific understanding of social psychiatry but also supports the global exchange of knowledge and best practices in mental health care.
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