Das Gupta Debasree, Kelekar Uma, Rice Dominique
Department of Kinesiology and Health Science, Emma Eccles Jones College of Education and Human Services, Utah State University, 7000 Old Main Hill, Logan, UT.
Department Chair/Program Director of Healthcare Management, School of Business, Ideation, Leadership and Technology, Marymount University, Arlington, VA.
Prev Med Rep. 2020 Dec 2;20:101273. doi: 10.1016/j.pmedr.2020.101273. eCollection 2020 Dec.
Social isolation is closely linked to depression and falls in late life and are common among seniors. Although the literature has highlighted age-related variations in these three geriatric conditions, evidence on heterogeneities across older adult age categories is lacking. To address this gap, we present cross-sectional analyses using indicators of social isolation, depression, and falls of older adults constructed from the most recent Behavioral Risk Factor Surveillance System (BRFSS) data. An age-based understanding is critical to improve health interventions since health changes occur at a faster rate among seniors than in any other population subgroup. We included all adults 60 years and older (n = 113,233) in the 2018 BRFSS landline dataset and used the status of living alone, depressive disorder diagnosis, and fall incidences reported by these seniors to respectively create the social isolation, depression, and fall indicators. We conducted multivariable logistic regressions to compare findings on these indicators across the three age categories of 60-69, 70-79, and 80 and above after adjusting for a common set of covariates. Results indicate that the likelihood of seniors living alone and reporting depression is the highest among those 80 years and above. Conversely, the odds of depressed seniors reporting falls is the greatest among the 60-69 year olds. Accordingly, we highlight key implications for targeted health promotion and care delivery to seniors.
社交隔离与晚年的抑郁症和跌倒密切相关,在老年人中很常见。尽管文献强调了这三种老年疾病中与年龄相关的差异,但缺乏关于老年成年人不同年龄组异质性的证据。为了填补这一空白,我们使用从最新的行为风险因素监测系统(BRFSS)数据构建的老年人社交隔离、抑郁和跌倒指标进行横断面分析。基于年龄的理解对于改善健康干预至关重要,因为老年人的健康变化速度比任何其他人群亚组都要快。我们纳入了2018年BRFSS固定电话数据集里所有60岁及以上的成年人(n = 113,233),并利用这些老年人报告的独居状况、抑郁症诊断和跌倒发生率分别创建社交隔离、抑郁和跌倒指标。在调整了一组常见的协变量后,我们进行了多变量逻辑回归,以比较60 - 69岁、70 - 79岁和80岁及以上这三个年龄组在这些指标上的结果。结果表明,80岁及以上的老年人独居和报告患抑郁症的可能性最高。相反,60 - 69岁的抑郁症老年人报告跌倒的几率最大。因此,我们强调了针对老年人进行有针对性的健康促进和护理的关键意义。