Department of Preventive and Social Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Aging Research Center, Karolinska Institutet / Stockholm University, Stockholm, Sweden.
J Dent Res. 2020 Mar;99(3):257-263. doi: 10.1177/0022034520901709.
We compared socioeconomic life course models to decompose the direct and mediated effects of socioeconomic status (SES) in different periods of life on late-life oral health. We used data from 2 longitudinal Swedish studies: the Level of Living Survey and the Swedish Panel Study of Living Conditions of the Oldest Old. Two birth cohorts (older, 1925 to 1934; younger, 1944 to 1953) were followed between 1968 and 2011 with 6 waves. SES was measured with 4 indicators of SES and modeled as a latent variable. Self-reported oral health was based on a tooth conditions question. Variables in the younger and older cohorts were grouped into 4 periods: childhood, young/mid-adulthood, mid /late adulthood, late adulthood/life. We used structural equation modeling to fit the following into lagged-effects life course models: 1) chain of risk, 2) sensitive period with late-life effect, 3) sensitive period with early- and late-life effects, 4) accumulation of risks with cross-sectional effects, and 5) accumulation of risks. Chain of risk was incorporated into all models and combined with accumulation, with cross-sectional effects yielding the best fit (older cohort: comparative fit index = 0.98, Tucker-Lewis index = 0.98, root mean square error of approximation = 0.04, weighted root mean square residual = 1.51). For the older cohort, the chain of SES from childhood → mid-adulthood → late adulthood → late life showed the following respective standardized coefficients: 053, 0.92, and 0.97. The total effect of childhood SES on late-life tooth loss (standardized coefficient: -0.23 for older cohort, -0.17 for younger cohort) was mediated by previous tooth loss and SES. Cross-sectional effects of SES on tooth loss were observed throughout the life course, but the strongest coefficients were at young/mid-adulthood (standardized coefficient: -0.41 for older cohort, -0.45 for younger cohort). SES affects oral health cumulatively over the life course and through a chain of risks. Actions to improve socioeconomic conditions in early life might have long-lasting effects on health if they help prevent people from becoming trapped in a chain of risks.
我们比较了社会经济生活轨迹模型,以分解社会经济地位(SES)在生命不同时期对晚年口腔健康的直接和间接影响。我们使用了来自两项瑞典纵向研究的数据:生活水平调查和瑞典老年人生活条件面板研究。两个出生队列(较老的队列,1925 年至 1934 年;较年轻的队列,1944 年至 1953 年)在 1968 年至 2011 年期间进行了 6 次随访。SES 用 4 个 SES 指标来衡量,并作为潜在变量建模。自我报告的口腔健康基于牙齿状况问题。较年轻和较年长队列中的变量被分为 4 个时期:儿童期、青年/中年期、中/晚年期、晚年/生命后期。我们使用结构方程模型将以下内容拟合到滞后效应生活轨迹模型中:1)风险链,2)具有晚年影响的敏感期,3)具有早期和晚年影响的敏感期,4)具有横断面影响的风险积累,以及 5)风险积累。风险链被纳入所有模型,并与积累相结合,具有横断面影响的模型拟合效果最佳(较年长队列:比较拟合指数= 0.98,塔克-刘易斯指数= 0.98,均方根误差逼近= 0.04,加权均方根残差= 1.51)。对于较年长的队列,从儿童期到中年期到晚年到晚年的 SES 链显示出以下各自的标准化系数:0.53、0.92 和 0.97。童年 SES 对晚年牙齿缺失的总效应(标准化系数:年长队列为-0.23,年轻队列为-0.17)由先前的牙齿缺失和 SES 介导。SES 对牙齿缺失的横断面影响贯穿整个生命过程,但最强的系数出现在青年/中年期(标准化系数:年长队列为-0.41,年轻队列为-0.45)。SES 会在整个生命过程中累积地影响口腔健康,并通过风险链来影响。如果改善早期生活中的社会经济条件的行动有助于防止人们陷入风险链,那么这些行动可能会对健康产生持久的影响。