Department of Child and Family Studies, Yonsei University, Seoul, Korea.
BK21 Symbiotic Society and Design, Yonsei University, Seoul, Korea.
Age Ageing. 2021 Jun 28;50(4):1336-1341. doi: 10.1093/ageing/afab002.
This study aims to identify distinct patterns of 10-year multimorbidity trajectory among Korean older adults and examine factors associated with the patterns.
Data were drawn from the six waves of the Korean Longitudinal Study of Ageing (KLoSA, 2006-2016). We examined trajectories of multimorbidity of 1,705 older adults aged 65 and older using Growth Mixture Modeling. Then, the identified patterns were used as dependent variables to examine the correlates of multimorbidity trajectories. Explanatory variables considered were sociodemographic, psychological, health behavioural and interpersonal factors at baseline.
Four distinct patterns of multimorbidity trajectories were identified: 'maintaining-low' (59.4%), 'chronically-high' (7.5%), 'moderately-increasing' (26.0%) and 'rapidly- increasing' (7.1%). Gender, depressive symptoms, life satisfaction and frequency of contacts with others were associated with trajectory membership. Specifically, women were more likely to be in the 'chronically-high' group than any other groups. Compared to the 'maintaining-low' group, those with higher levels of depressive symptoms and lower levels of life satisfaction were more likely to belong to the 'chronically-high' group and 'moderately-increasing' group, respectively. Respondents who had less frequent meetings with others in close relationships were more likely to be in the 'rapidly-increasing' group than the 'maintaining-low' group.
These findings are suggestive of distinct trajectories of multimorbidity across older adulthood, indicating that multimorbidity experiences might differ among older adults. Moreover, results suggest that there may be gender inequalities in multimorbidity trajectories, and that levels of psychological well-being and social engagement could be useful in identifying older adults who are at higher risk of worsening multimorbidity.
本研究旨在确定韩国老年人中 10 年多病共病轨迹的不同模式,并探讨与模式相关的因素。
数据来自韩国老龄化纵向研究(KLoSA,2006-2016 年)的六轮调查。我们使用增长混合建模来检查 1705 名 65 岁及以上老年人的多病共病轨迹。然后,将确定的模式用作因变量,以检验多病共病轨迹的相关性。考虑的解释变量包括基线时的社会人口统计学、心理、健康行为和人际因素。
确定了四种不同的多病共病轨迹模式:“维持低”(59.4%)、“慢性高”(7.5%)、“中度增加”(26.0%)和“快速增加”(7.1%)。性别、抑郁症状、生活满意度和与他人接触的频率与轨迹成员有关。具体来说,女性比其他任何群体更有可能处于“慢性高”组。与“维持低”组相比,抑郁症状水平较高和生活满意度水平较低的人更有可能分别属于“慢性高”组和“中度增加”组。与亲密关系中较少会面的人相比,与他人会面较少的人更有可能属于“快速增加”组,而不是“维持低”组。
这些发现表明,在老年期存在不同的多病共病轨迹,表明多病共病的经历可能在老年人中存在差异。此外,研究结果表明,多病共病轨迹可能存在性别不平等,心理幸福感和社会参与度水平可能有助于识别多病共病恶化风险较高的老年人。