Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Department of Epidemiology, University of Pittsburgh, Pennsylvania.
J Gerontol A Biol Sci Med Sci. 2018 Oct 8;73(11):1574-1580. doi: 10.1093/gerona/gly062.
Midlife represents an important time to evaluate health status and health behaviors that may affect health-related quality of life (HRQL) in later years. This study examines change in women's HRQL over 11 years from ages 47-59 to 57-69 and identifies midlife characteristics that predict HRQL at older ages.
Physical (PCS) and mental component summaries (MCS) of the SF-36 were used to assess HRQL from 2002 to 2013 in 2,614 women from the Study of Women's Health Across the Nation (SWAN), a multiethnic/racial cohort study. We used locally weighted scatterplot smoothing (LOESS) models to obtain unadjusted predicted mean trajectories of PCS and MCS as a function of age.
LOESS predicted PCS declined from 51.6 to 47.1, whereas MCS increased from 49.2 to 53.1. In multivariable models, controlling for baseline PCS, higher baseline physical activity (p = .002) and increase in physical activity from baseline (p < .0001) predicted better PCS. Time since baseline (ie, aging; p < .001), higher baseline body mass index (p < .0001), increased body mass index over time (p < .0001), smoking (p < .05), two or more medical conditions (p < .0001), sleep problems (p < .0001), and urinary incontinence (p < .0001) were related to lower PCS. Early (p = .004) and late postmenopause (p = .001; vs. premenopause) and aging (p = .05) predicted higher MCS. Predictors of lower MCS were less than very good health (p < .0001), sleep problems (p < .0001), stressful life events (p < .0001), higher perceived stress (p < .0001), and higher trait anxiety (p = .004). Race/ethnicity was related to MCS, but not PCS.
Several potentially modifiable midlife factors, such as improved sleep hygiene, physical activity, and body mass index, might improve HRQL for older women.
中年是评估健康状况和可能影响晚年健康相关生活质量 (HRQL) 的健康行为的重要时期。本研究考察了女性从 47-59 岁到 57-69 岁的 HRQL 在 11 年内的变化,并确定了预测晚年 HRQL 的中年特征。
使用 SF-36 的身体成分 (PCS) 和心理成分 (MCS) 从 2002 年到 2013 年评估来自妇女健康研究全国联盟 (SWAN) 的 2614 名女性的 HRQL,这是一项多民族/种族队列研究。我们使用局部加权散点平滑 (LOESS) 模型获得 PCS 和 MCS 的未经调整的预测平均轨迹作为年龄的函数。
LOESS 预测 PCS 从 51.6 下降到 47.1,而 MCS 从 49.2 增加到 53.1。在多变量模型中,控制基线 PCS 后,较高的基线体力活动 (p =.002) 和基线体力活动的增加 (p <.0001) 预测更好的 PCS。与基线的时间间隔 (即衰老; p <.001)、较高的基线体重指数 (p <.0001)、随时间推移体重指数的增加 (p <.0001)、吸烟 (p <.05)、两种或更多种疾病 (p <.0001)、睡眠问题 (p <.0001) 和尿失禁 (p <.0001) 与较低的 PCS 相关。早绝经 (p =.004) 和晚绝经 (p =.001; 与绝经前相比) 和衰老 (p =.05) 预测较高的 MCS。较低 MCS 的预测因素包括健康状况不佳 (p <.0001)、睡眠问题 (p <.0001)、压力性生活事件 (p <.0001)、感知压力较高 (p <.0001) 和特质焦虑较高 (p =.004)。种族/民族与 MCS 有关,但与 PCS 无关。
一些潜在的可改变的中年因素,如改善睡眠卫生、体力活动和体重指数,可能会改善老年女性的 HRQL。