Chaput J-P, Barnes J D, Tremblay M S, Fogelholm M, Hu G, Lambert E V, Maher C, Maia J, Olds T, Onywera V, Sarmiento O L, Standage M, Tudor-Locke C, Katzmarzyk P T
Children's Hospital of Eastern Ontario Research Institute Ottawa Canada.
University of Ottawa Ottawa Canada.
Obes Sci Pract. 2018 May 4;4(3):229-237. doi: 10.1002/osp4.271. eCollection 2018 Jun.
Studies examining associations between movement behaviours (i.e. physical activity, sedentary behaviour and sleep duration) and obesity focus on average values of these movement behaviours, despite important within-country and between-country variability. A better understanding of movement behaviour inequalities is important for developing public health policies and behaviour-change interventions. The objective of this ecologic analysis at the country level was to determine if inequality in movement behaviours is a better correlate of obesity than average movement behaviour volume in children from all inhabited continents of the world.
This multinational, cross-sectional study included 6,128 children 9-11 years of age. Moderate-to-vigorous physical activity (MVPA), total sedentary time (SED) and sleep period time were monitored over 7 consecutive days using waist-worn accelerometry. Screen time was self-reported. Inequality in movement behaviours was determined using Gini coefficients (ranging from 0 [complete equality] to 1 [complete inequality]).
The largest inequality in movement behaviours was observed for screen time (Gini of 0.32; medium inequality), followed by MVPA (Gini of 0.21; low inequality), SED (Gini of 0.07; low inequality) and sleep period time (Gini of 0.05; low inequality). Average MVPA (h d) was a better correlate of obesity than MVPA inequality ( = -0.77 vs. = 0.00, = 0.03). Average SED (h d) was also a better correlate of obesity than SED inequality ( = 0.52 vs. = -0.32, = 0.05). Differences in associations for screen time and sleep period time were not statistically significant. MVPA in girls was found to be disproportionally lower in countries with more MVPA inequality.
Findings from this study show that average MVPA and SED should continue to be used in population health studies of children as they are better correlates of obesity than inequality in these behaviours. Moreover, the findings suggest that MVPA inequality could be greatly reduced through increases in girls' MVPA alone.
尽管各国国内和国家之间存在重要差异,但研究运动行为(即身体活动、久坐行为和睡眠时间)与肥胖之间关联的研究主要关注这些运动行为的平均值。更好地理解运动行为不平等对于制定公共卫生政策和行为改变干预措施至关重要。这项国家层面的生态分析的目的是确定运动行为不平等是否比世界所有有人居住大陆儿童的平均运动行为量更能与肥胖相关。
这项跨国横断面研究纳入了6128名9至11岁的儿童。使用腰部佩戴的加速度计连续7天监测中度至剧烈身体活动(MVPA)、总久坐时间(SED)和睡眠时间。屏幕时间通过自我报告获得。使用基尼系数(范围从0[完全平等]到1[完全不平等])确定运动行为的不平等程度。
运动行为中不平等程度最大的是屏幕时间(基尼系数为0.32;中等不平等),其次是MVPA(基尼系数为0.21;低不平等)、SED(基尼系数为0.07;低不平等)和睡眠时间(基尼系数为0.05;低不平等)。平均MVPA(小时/天)比MVPA不平等与肥胖的相关性更好(r = -0.77对r = 0.00,P = 0.03)。平均SED(小时/天)也比SED不平等与肥胖的相关性更好(r = 0.52对r = -0.32,P = 0.05)。屏幕时间和睡眠时间关联的差异无统计学意义。在MVPA不平等程度较高的国家,女孩的MVPA被发现不成比例地更低。
这项研究的结果表明,在儿童人群健康研究中应继续使用平均MVPA和SED,因为它们比这些行为的不平等与肥胖的相关性更好。此外,研究结果表明,仅通过增加女孩的MVPA就可以大大降低MVPA的不平等程度。