Bond Dale S, Thomas J Graham, Raynor Hollie A, Moon Jon, Sieling Jared, Trautvetter Jennifer, Leblond Tiffany, Wing Rena R
Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, Providence, Rhode Island, United States of America.
Department of Nutrition, University of Tennessee, Knoxville, Tennessee, United States of America.
PLoS One. 2014 Jun 25;9(6):e100821. doi: 10.1371/journal.pone.0100821. eCollection 2014.
Excessive sedentary time (SED) has been linked to obesity and other adverse health outcomes. However, few sedentary-reducing interventions exist and none have utilized smartphones to automate behavioral strategies to decrease SED. We tested a smartphone-based intervention to monitor and decrease SED in overweight/obese individuals, and compared 3 approaches to prompting physical activity (PA) breaks and delivering feedback on SED.
Participants [N = 30; Age = 47.5(13.5) years; 83% female; Body Mass Index (BMI) = 36.2(7.5) kg/m2] wore the SenseWear Mini Armband (SWA) to objectively measure SED for 7 days at baseline. Participants were then presented with 3 smartphone-based PA break conditions in counterbalanced order: (1) 3-min break after 30 SED min; (2) 6-min break after 60 SED min; and (3) 12-min break after 120 SED min. Participants followed each condition for 7 days and wore the SWA throughout.
All PA break conditions yielded significant decreases in SED and increases in light (LPA) and moderate-to-vigorous PA (MVPA) (p<0.005). Average % SED at baseline (72.2%) decreased by 5.9%, 5.6%, and 3.3% [i.e. by mean (95% CI) -47.2(-66.3, -28.2), -44.5(-65.2, -23.8), and -26.2(-40.7, -11.6) min/d] in the 3-, 6-, and 12-min conditions, respectively. Conversely, % LPA increased from 22.8% to 26.7%, 26.7%, and 24.7% [i.e. by 31.0(15.8, 46.2), 31.0(13.6, 48.4), and 15.3(3.9, 26.8) min/d], and % MVPA increased from 5.0% to 7.0%, 6.7%, and 6.3% (i.e. by 16.2(8.5, 24.0), 13.5(6.3, 20.6), and 10.8(4.2, 17.5) min/d] in the 3-, 6-, and 12-min conditions, respectively. Planned pairwise comparisons revealed the 3-min condition was superior to the 12-min condition in decreasing SED and increasing LPA (p<0.05).
The smartphone-based intervention significantly reduced SED. Prompting frequent short activity breaks may be the most effective way to decrease SED and increase PA in overweight/obese individuals. Future investigations should determine whether these SED reductions can be maintained long-term.
ClinicalTrials.gov NCT01688804.
久坐时间过长与肥胖及其他不良健康后果相关。然而，减少久坐行为的干预措施很少，且尚无利用智能手机自动执行行为策略以减少久坐时间的干预措施。我们测试了一种基于智能手机的干预措施，以监测并减少超重/肥胖个体的久坐时间，并比较了三种促使进行身体活动（PA）休息及提供久坐时间反馈的方法。
参与者 [N = 30；年龄 = 47.5（13.5）岁；83% 为女性；体重指数（BMI）= 36.2（7.5）kg/m²] 在基线时佩戴SenseWear Mini臂带（SWA）客观测量久坐时间，为期7天。然后，参与者按照平衡顺序接受三种基于智能手机的PA休息条件：（1）久坐30分钟后休息3分钟；（2）久坐60分钟后休息6分钟；（3）久坐120分钟后休息12分钟。参与者在每种条件下持续7天，并全程佩戴SWA。
所有PA休息条件均使久坐时间显著减少，轻度身体活动（LPA）和中度至剧烈身体活动（MVPA）增加（p<0.005）。在3分钟、6分钟和12分钟条件下，基线时的平均久坐时间百分比（72.2%）分别下降了5.9%、5.6%和3.3% [即平均（95% CI）-47.2（-66.3，-28.2）、-44.5（-65.2，-23.8）和-26.2（-40.7，-11.6）分钟/天]。相反，LPA百分比从22.8%分别增加到26.7%、26.7%和24.7% [即增加31.0（15.8，46.2）、31.0（13.6，48.4）和15.3（3.9，26.8）分钟/天]，MVPA百分比从5.0%分别增加到7.0%、6.7%和6.3%（即增加16.2（8.5，24.0）、13.5（6.3，20.6）和10.8（4.2，17.5）分钟/天）。计划的两两比较显示，在减少久坐时间和增加LPA方面，3分钟条件优于12分钟条件（p<0.05）。
基于智能手机的干预措施显著减少了久坐时间。促使频繁进行短时间活动休息可能是减少超重/肥胖个体久坐时间和增加身体活动的最有效方法。未来的研究应确定这些久坐时间的减少能否长期维持。
ClinicalTrials.gov NCT01688804。
