Health and Subjective Well-Being in Later Adulthood: Different Health States-Different Needs?
Health and Subjective Well-Being in Later Adulthood: Different Health States-Different Needs?
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DOI：
10.1111/j.1758-0854.2009.01004.x
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发表时间：
2009-03-01
影响因子：
6.9
通讯作者：
Tesch-Roemer, Clemens
中科院分区：
文献类型：
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作者：
Schuez, Benjamin;Wurm, Susanne;Tesch-Roemer, Clemens
从中年开始，健康问题变得更加普遍。健康是主观幸福感（SWB）的关键决定因素之一，但在成年后期检查健康和SWB之间的关系是复杂的多种疾病的聚集。这篇文章提出了潜在类别分析（LCA）的一个简约的描述成人健康。本文比较了健康班的主观幸福感，并探讨了社会经济资源，疼痛和应对（灵活的目标调整）的主观幸福感的相对重要性。数据来源于40-85岁成年人的全国代表性样本（德国老龄化调查，DEAS; N = 3，084）。LCA被用来检查不同的健康配置。多元回归分析，在潜在的阶级进行了审查的预测主观幸福感。LCA产生了四种不同的健康状况：无疾病（n = 807），心血管疾病（n = 405），关节问题（n = 1，612）和多种疾病（n = 258）。正如预期的那样，只有很小的平均差异，在主观幸福感指标，而不连续的预测主观幸福感检测：应对更强烈地与主观幸福感的个人疾病负担较高。LCA可以用来描述成年后期的健康状况。不同的预测模式表明不同的因素，主观幸福感取决于个人的健康状况。
From midlife on, health problems become more prevalent. Health is one of the key determinants of subjective well-being (SWB), but examining the relation between health and SWB in later adulthood is complicated by the clustering of multiple illnesses. This article proposes Latent Class Analysis (LCA) for a parsimonious description of adult health. This article compares SWB in health classes and examines the relative importance of socioeconomic resources, pain and coping (flexible goal adjustment) for SWB. Data stem from a nation-wide representative sample of adults aged 40-85 (German Ageing Survey, DEAS; N = 3,084). LCA was used to examine different configurations of health. Multiple regression analyses in latent classes were conducted to examine predictors of SWB. LCA generated four distinct classes of health conditions: No disease (n = 807), cardiovascular diseases (n = 405), joint problems (n = 1,612) and multiple illnesses (n = 258). As expected, only small mean differences in SWB indicators were found, whereas discontinuous predictors of SWB were detected: Coping was more strongly associated with SWB in individuals with higher illness burden. LCA can be applied to describe health in later adulthood. Differential prediction patterns suggest distinct factors for SWB depending on individual health status.