Bamford Centre for Mental Health and Wellbeing, Ulster University, Northern Ireland, UK.
Bamford Centre for Mental Health and Wellbeing, Ulster University, Northern Ireland, UK.
J Affect Disord. 2020 Apr 15;267:114-122. doi: 10.1016/j.jad.2020.02.018. Epub 2020 Feb 8.
With increasing numbers of people living into old age, health functioning and good quality of life are central to public health policy in aging. However, quality of life for many elders is undermined by anxiety and depression. Understanding gender differences in the determinants of anxiety and depression symptoms is crucial to policy and practice.
To examine gender-specific symptom subtypes of later-life anxiety and depression, in relation to their socio-demographic, social and health context.
Cross-sectional study using data from The Irish Longitudinal Study on Ageing (TILDA, 2009-2011). Latent class analysis defined gender-specific symptom profiles for anxiety and depression. Correlates of latent classes were analysed using logistic regression, assessing associations between socio-demographic factors; social indicators and health indicators.
Four classes of self-reported anxiety and depression were derived: 'low', 'comorbidity', 'anxiety and subthreshold depression' and 'anxiety' only. With males 8% were comorbid, 26% subthreshold and 26% with anxiety only. With female 12% were comorbid, 27% subthreshold and 29% with anxiety only. While symptom expression may relate to stress from common ageing, our findings show clear gradations of symptoms associated with a range of social and health indicators.
Our findings support the actuality of comorbid depression and anxiety with further evidence for anxiety and subthreshold depression. A sizeable subgroup confirms that many older people experience anxiety only. Our study indicates the need for a more sensitive recognition of needs and a more nuanced policy agenda for older people towards improving the quality of their social life.
随着越来越多的人步入老年,健康功能和生活质量成为老龄化公共卫生政策的核心。然而,许多老年人的生活质量受到焦虑和抑郁的影响。了解焦虑和抑郁症状的决定因素中的性别差异对于政策和实践至关重要。
研究与社会人口统计学、社会和健康背景相关的老年后期焦虑和抑郁的性别特异性症状亚型。
使用爱尔兰老龄化纵向研究(TILDA,2009-2011 年)的数据进行横断面研究。潜在类别分析定义了焦虑和抑郁的性别特异性症状特征。使用逻辑回归分析潜在类别与社会人口统计学因素、社会指标和健康指标之间的相关性。
得出了四类自我报告的焦虑和抑郁症状:“低”、“共病”、“焦虑和亚临床抑郁”和“仅焦虑”。男性中 8%共病,26%亚临床,26%仅焦虑。女性中 12%共病,27%亚临床,29%仅焦虑。虽然症状表现可能与常见的衰老压力有关,但我们的研究结果显示,与一系列社会和健康指标相关的症状有明显的梯度。
我们的研究结果支持抑郁和焦虑共病的现实,进一步证明了焦虑和亚临床抑郁的存在。相当一部分人证实许多老年人仅经历焦虑。我们的研究表明,需要更加敏感地认识到老年人的需求,并制定更加细致入微的政策议程,以改善他们的社会生活质量。