Schilsky Samantha, Sotres-Alvarez Daniela, Rosamond Wayne D, Heiss Gerardo, Stevens June, Butera Nicole, Cai Jianwen, Carlson Jordan A, Cuthbertson Carmen, Daviglus Martha, LeCroy Madison N, Pirzada Amber, Evenson Kelly R
University of North Carolina, Chapel Hill NC, USA.
George Washington University School of Public Health, Washington, DC, USA.
Prev Med Rep. 2021 Dec 1;24:101655. doi: 10.1016/j.pmedr.2021.101655. eCollection 2021 Dec.
Examine cross-sectional and longitudinal associations of accelerometer measured step volume (steps/day) and cadence with adiposity and six-year changes in adiposity in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).
HCHS/SOL's target population was 60% female with a mean age of 41 years. Cross-sectional (n = 12,353) and longitudinal analyses (n = 9,077) leveraged adjusted complex survey regression models to examine associations between steps/day, and cadence with weight (kg), waist circumference (cm) and body mass index (kg/m). Effect measure modification by covariates was examined.
Lower steps/day and intensity was associated with higher adiposity at baseline. Compared to those in the highest quartile of steps/day those in the lowest quartile have 1.42 95% CI (1.19, 1.70) times the odds of obesity. Compared to those in the highest categories of cadence step-based metrics, those in the lowest categories had a 1.62 95% CI (1.36, 1.93), 2.12 95% CI (1.63, 2.75) and 1.41 95% CI (1.16, 1.70) odds of obesity for peak 30-minute cadence, brisk walking and faster ambulation and bouts of purposeful steps and faster ambulation, respectively. Compared to those with the highest stepping cadences, those with the slowest peak 30-minute cadence and fewest minutes in bouts of purposeful steps and faster ambulation had 0.72 95% CI (0.57, 0.89) and 0.82 95% CI (0.60, 1.14) times the odds of gaining weight, respectively.
Inverse cross-sectional relationships were found for steps/day and cadence and adiposity. Over a six-year period, higher step intensity but not volume was associated with higher odds of gaining weight.
在西班牙裔社区健康研究/拉丁裔研究（HCHS/SOL）中，研究通过加速度计测量的步幅（步数/天）和步频与肥胖及肥胖的六年变化之间的横断面和纵向关联。
HCHS/SOL的目标人群中女性占60%，平均年龄为41岁。横断面分析（n = 12353）和纵向分析（n = 9077）利用调整后的复杂抽样回归模型，研究步数/天以及步频与体重（千克）、腰围（厘米）和体重指数（千克/米²）之间的关联。对协变量的效应修正进行了检验。
基线时，较低的步数/天和步频与较高的肥胖程度相关。与步数/天最高四分位数的人群相比，最低四分位数人群肥胖的几率是其1.42倍[95%置信区间（1.19，1.70）]。与步频基于步数的指标最高类别人群相比，最低类别人群在30分钟峰值步频、快走和更快步行以及有目的步数和更快步行时段的肥胖几率分别为1.62倍[95%置信区间（1.36，1.93）]、2.12倍[95%置信区间（1.63，2.75）]和1.41倍[95%置信区间（1.16，1.70）]。与步频最高的人群相比，30分钟峰值步频最慢且有目的步数和更快步行时段分钟数最少的人群体重增加的几率分别为0.72倍[95%置信区间（0.57，0.89）]和0.82倍[95%置信区间（0.60，1.14）]。
发现步数/天、步频与肥胖之间存在反向横断面关系。在六年期间，较高的步频强度而非步幅与体重增加几率较高相关。
