Golinowska Stanisława, Sowa Agnieszka, Deeg Dorly, Socci Marco, Principi Andrea, Rodrigues Ricardo, Ilinca Stefania, Galenkamp Henrike
Collegium Medicum Jagiellonian University, Kraków, Poland ; Institute of Labour and Social Studies (IPiSS), Warsaw, Poland ; Center for Social and Economic Research (CASE), Warsaw, Poland.
Institute of Labour and Social Studies (IPiSS), Warsaw, Poland ; Center for Social and Economic Research (CASE), Warsaw, Poland.
Eur J Ageing. 2016;13(2):115-127. doi: 10.1007/s10433-016-0371-6. Epub 2016 Apr 18.
Little attention has been given to the involvement in formal learning activities (FLA) in the older population when considering different health statuses. The aim of this study is to explore the extent to which possible predictors (derived from previous research as well as a conceptual model) of FLA differ for older people in poor and good health. Data are used from SHARE 2010/2011 for the 50+ populations in 16 European countries. Poor health is defined as self-report of having two or more chronic diseases assessed by a medical doctor, i.e. multimorbidity. Possible predictors of learning activities represent individual characteristics: functional limitations, demography (age, gender, marital status and household size), human capital (achieved level of education), employment, income and participation in other social activities. To assess the predictors of FLA, logistic regression models are used and average marginal estimates are compared across groups. In addition to multimorbidity, labour market activity is used as a grouping variable. The average participation of individuals in the group with multimorbidity was nearly 50 % lower than that in the group in good health (6.5 vs. 13.3 %). Regardless of multimorbidity, human capital proved to be significant predictors of FLA, especially in those active on the labour market. However, the associations were weaker in the multimorbidity group. Also, significant associations were observed of other types of social activities, in particular cultural and leisure activity and volunteering, with FLA. This study suggests that similar factors are predictors of FLA in older people with and without multimorbidity.
在考虑不同健康状况时,老年人参与正规学习活动(FLA)的情况很少受到关注。本研究的目的是探讨FLA的可能预测因素(源自先前研究以及一个概念模型)在健康状况较差和较好的老年人中存在何种差异。数据来自2010/2011年欧洲健康、年龄和退休调查(SHARE)中16个欧洲国家50岁及以上的人群。健康状况较差定义为经医生评估自述患有两种或更多慢性疾病,即多种疾病并存。学习活动的可能预测因素包括个体特征:功能受限、人口统计学特征(年龄、性别、婚姻状况和家庭规模)、人力资本(受教育程度)、就业、收入以及参与其他社会活动。为了评估FLA的预测因素,使用了逻辑回归模型,并对各群体的平均边际估计值进行了比较。除了多种疾病并存外,劳动力市场活动被用作分组变量。患有多种疾病的人群中个体的平均参与率比健康状况良好的人群低近50%(6.5%对13.3%)。无论是否患有多种疾病,人力资本都被证明是FLA的重要预测因素,尤其是在劳动力市场活跃的人群中。然而,在多种疾病并存的群体中,这种关联较弱。此外,还观察到其他类型的社会活动,特别是文化和休闲活动以及志愿服务,与FLA之间存在显著关联。本研究表明,在患有和未患有多种疾病的老年人中,类似的因素是FLA的预测因素。