Ylitalo Kelly R, Karvonen-Gutierrez Carrie A, Oh Minsuk, Sternfeld Barbara, Stamey James, Pettee Gabriel Kelley
Department of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX, USA.
Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Prev Med Rep. 2022 Jun 10;28:101850. doi: 10.1016/j.pmedr.2022.101850. eCollection 2022 Aug.
Many questionnaires ascertain physical activity (PA) frequency, duration, and intensity to benchmark achievement of PA recommendations. However, most scoring algorithms utilize absolute intensity estimates when exertion may be influenced by age or health characteristics. This study quantified PA estimates with and without adjustments for perceived exertion and evaluated if differences were associated with individual-level characteristics. Women (n = 2,711) in the United States from the Study of Women's Health Across the Nation who completed ≥ 3 Kaiser Physical Activity Surveys (KPAS) across 8 biennial visits were included (baseline age: 46.4 ± 2.7 years). KPAS responses about activity mode and exertion were converted to metabolic equivalent of a task (METs) using the 2011 Compendium of Physical Activities to estimate absolute and perceived intensity-adjusted METs. Repeated measures (linear mixed effects) regression models were used to examine associations of sociodemographic and health-related characteristics with change in the difference between absolute MET estimates and perceived intensity-adjusted MET estimates. Older age (p < 0.001), Chinese (p < 0.001) and Japanese (p = 0.01) ethnicity, and current smoking (p = 0.001) were associated with positive differences between absolute and perceived intensity-adjusted MET estimates, which is suggestive of lower perceived-intensity physical activity. However, for most participants, absolute intensity-based estimates closely approximated perceived intensity-adjusted estimates over time. Traditional PA scoring techniques using absolute intensity estimates only may provide sufficient estimates of PA in longitudinal cohort studies of mid-life and older adult women.
许多调查问卷会确定身体活动(PA)的频率、持续时间和强度,以衡量PA建议的达成情况。然而,大多数评分算法在体力消耗可能受年龄或健康特征影响时,会采用绝对强度估计值。本研究对有无根据感知运动强度进行调整的PA估计值进行了量化,并评估了差异是否与个体水平特征相关。纳入了来自美国全国女性健康研究的女性(n = 2711),她们在8次两年一次的访视中完成了≥3次凯撒身体活动调查(KPAS)(基线年龄:46.4±2.7岁)。使用《2011年身体活动纲要》将KPAS关于活动模式和运动强度的回答转换为代谢当量(METs),以估计绝对强度和感知强度调整后的METs。采用重复测量(线性混合效应)回归模型,研究社会人口学和健康相关特征与绝对MET估计值和感知强度调整后的MET估计值之间差异变化的关联。年龄较大(p < 0.001)、华裔(p < 0.001)和日裔(p = 0.01)种族以及当前吸烟(p = 0.001)与绝对强度和感知强度调整后的MET估计值之间的正差异相关,这表明感知强度较低的身体活动。然而,对于大多数参与者来说,随着时间的推移,基于绝对强度的估计值与感知强度调整后的估计值非常接近。在中年及老年女性的纵向队列研究中,仅使用绝对强度估计值的传统PA评分技术可能足以提供PA的估计值。