Boyne Ciarra A, Johnson Tammie M, Toth Lindsay P, Richardson Michael R, Churilla James R
Department of Clinical and Applied Movement Sciences, Brooks College of Health, University of North Florida, Jacksonville, FL 32224, USA.
Institute of Public Health, College of Pharmacy and Pharmaceutical Sciences, Institute of Public Health, Florida Agricultural and Mechanical University, Tallahassee, FL 32307, USA.
Pharmacy (Basel). 2024 Dec 10;12(6):186. doi: 10.3390/pharmacy12060186.
While previous research has linked physical activity (PA) with lower prescription medication consumption, limited evidence has investigated sedentary time (ST) as a major contributor to medication use, despite ST's known association with chronic disease and mortality risk, even when PA volume is considered. This study aimed to examine the independent associations between objectively measured ST, patterns of sedentary bouts, and self-reported prescription medication use among adults ≥25 years of age. Thirty-two participants reported the number and type of medications they were currently prescribed and wore an accelerometer continuously on their hip for seven days to detect their ST. Poisson regression analysis was used to assess how average daily ST, sedentary bout frequency, and sedentary bout duration influenced medication use. The results revealed a significant association between greater ST and higher medication consumption. Specifically, each additional hour of ST per day, each sedentary bout, and each one-minute increase in bout duration were linked to a 66% (PR 1.66; 95% CI 1.25-2.19; < 0.001), 36% (PR 1.36; 95% CI 1.12-1.64; < 0.01), and 9% (PR 1.09; 95% CI 1.03-1.16; < 0.01) higher prevalence of prescription medications, respectively. These findings suggest that higher ST is associated with a greater prevalence of using prescription medications in adults.
虽然先前的研究已将体育活动（PA）与较低的处方药消费量联系起来，但尽管已知久坐时间（ST）与慢性病和死亡风险相关，即使在考虑体育活动量的情况下，将久坐时间作为药物使用的主要促成因素进行调查的证据仍然有限。本研究旨在探讨在25岁及以上成年人中，客观测量的久坐时间、久坐时段模式与自我报告的处方药使用之间的独立关联。32名参与者报告了他们目前正在服用的药物的数量和类型，并在臀部连续佩戴加速度计7天以检测他们的久坐时间。采用泊松回归分析来评估平均每日久坐时间、久坐时段频率和久坐时段持续时间如何影响药物使用。结果显示，久坐时间越长与药物消费量越高之间存在显著关联。具体而言，每天久坐时间每增加一小时、每个久坐时段以及每个久坐时段持续时间每增加一分钟，分别与处方药患病率高出66%（PR 1.66；95%CI 1.25 - 2.19；<0.001）、36%（PR 1.36；95%CI 1.12 - 1.64；<0.01）和9%（PR 1.09；95%CI 1.03 - 1.16；<0.01）相关。这些发现表明，在成年人中，久坐时间越长与使用处方药的患病率越高相关。
