目的探讨潜变量增长混合模型(latent growth mixture modeling,GMM)和潜类增长模型(latent class growth model,LCGM)在识别儿童体重增长变化潜在类别上的应用。方法以大连市932名6~12岁学龄儿童的体检纵向数据为例。运用Mplus8.3软件...目的探讨潜变量增长混合模型(latent growth mixture modeling,GMM)和潜类增长模型(latent class growth model,LCGM)在识别儿童体重增长变化潜在类别上的应用。方法以大连市932名6~12岁学龄儿童的体检纵向数据为例。运用Mplus8.3软件构建不同性别儿童体质指数(body mass index,BMI)变化的GMM和LCGM模型。结果LCGM模型对男女学龄儿童的生长轨迹均识别出3个增长趋势不同的亚组:“稳定组”、“肥胖组”、“偏瘦组”;GMM模型对男性学龄儿童的生长轨迹识别出2个增长趋势不同的亚组:“稳定增长组”和“肥胖增长组”。结论GMM和LCGM模型可以识别学龄儿童BMI发展轨迹的异质性,拓展了描述儿童体重动态变化的方法研究。展开更多
本研究使用中国健康与养老追踪调查(CHARLS)2013~2018年的数据,采用潜变量增长模型探索了老年人隔代抚养强度和社交活跃度的变化趋势以及二者发展的关系。结果发现:1) 老年人的隔代抚养强度和社交活跃度随时间的发展呈线性下降趋势;2) ...本研究使用中国健康与养老追踪调查(CHARLS)2013~2018年的数据,采用潜变量增长模型探索了老年人隔代抚养强度和社交活跃度的变化趋势以及二者发展的关系。结果发现:1) 老年人的隔代抚养强度和社交活跃度随时间的发展呈线性下降趋势;2) 老年人隔代抚养强度的初始水平正向预测其社交活跃度的初始水平和下降速度;3) 老年人隔代抚养的下降速度正向预测其社交活跃度的下降速度。本研究为老年人隔代抚养如何影响社会活动提供了一定的理论依据,且有助于老年人更积极地应对人口老龄化。Using data from the China Health and Retirement Longitudinal Study (CHARLS) from 2013 to 2018, this study examined the development of older adults’ intensity of grandchildren care and social activities and the relationship between their development using latent growth modelling. The results showed that 1) The development of the intensity of grandchildren care and social activities of older adults showed a linear downward trend over time;2) The initial level of grandchildren-care intensity of older adults positively predicted the initial level and rate of decline of their social activities;3) The rate of decline of grandchildren-care intensity of older adults positively predicted the rate of decline of their social activities. This study provides a theoretical basis for how the intensity of grandchildren care affects older adults’ social activity, and helps older adults cope more actively with population ageing.展开更多
文摘目的探讨潜变量增长混合模型(latent growth mixture modeling,GMM)和潜类增长模型(latent class growth model,LCGM)在识别儿童体重增长变化潜在类别上的应用。方法以大连市932名6~12岁学龄儿童的体检纵向数据为例。运用Mplus8.3软件构建不同性别儿童体质指数(body mass index,BMI)变化的GMM和LCGM模型。结果LCGM模型对男女学龄儿童的生长轨迹均识别出3个增长趋势不同的亚组:“稳定组”、“肥胖组”、“偏瘦组”;GMM模型对男性学龄儿童的生长轨迹识别出2个增长趋势不同的亚组:“稳定增长组”和“肥胖增长组”。结论GMM和LCGM模型可以识别学龄儿童BMI发展轨迹的异质性,拓展了描述儿童体重动态变化的方法研究。
文摘本研究使用中国健康与养老追踪调查(CHARLS)2013~2018年的数据,采用潜变量增长模型探索了老年人隔代抚养强度和社交活跃度的变化趋势以及二者发展的关系。结果发现:1) 老年人的隔代抚养强度和社交活跃度随时间的发展呈线性下降趋势;2) 老年人隔代抚养强度的初始水平正向预测其社交活跃度的初始水平和下降速度;3) 老年人隔代抚养的下降速度正向预测其社交活跃度的下降速度。本研究为老年人隔代抚养如何影响社会活动提供了一定的理论依据,且有助于老年人更积极地应对人口老龄化。Using data from the China Health and Retirement Longitudinal Study (CHARLS) from 2013 to 2018, this study examined the development of older adults’ intensity of grandchildren care and social activities and the relationship between their development using latent growth modelling. The results showed that 1) The development of the intensity of grandchildren care and social activities of older adults showed a linear downward trend over time;2) The initial level of grandchildren-care intensity of older adults positively predicted the initial level and rate of decline of their social activities;3) The rate of decline of grandchildren-care intensity of older adults positively predicted the rate of decline of their social activities. This study provides a theoretical basis for how the intensity of grandchildren care affects older adults’ social activity, and helps older adults cope more actively with population ageing.
