Wu Qinmei, Yin Shuting, Du Litao, Li Ting, Ren Xiaoyu, He Qiang, Pan Yang, Chen Si, Zhang Xianliang
School of Physical Education, Shandong University, 17922 Jingshi Road, Lixia District, Jinan City, 250061, Shandong Province, China.
School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Lixia District, Jinan City, 250102, Shandong Province, China.
BMC Public Health. 2025 May 30;25(1):2007. doi: 10.1186/s12889-025-23089-1.
To examine the associations of accelerometer-measured daily step counts and intensity with overweightness/obesity among older Chinese women.
Data were collected from 1,085 women in the Physical Activity and Health in Older Women Study (PAHIOWS) in China. Multiple linear regression analyses were used to assess the association of total daily step counts, peak cadence and their joint association with overweightness/obesity indicators. Receiver operating characteristic curve (ROC) analysis was used to determine the optimal cut-off values of daily steps and peak cadence for distinguishing overweightness/obesity.
Daily step counts, cadence or intensity were independently associated with lower overweightness/obesity indicators. Each 1,000 step increase in daily step counts was associated with lower body fat ratio (BFR) (β: -0.22, 95%CI: -0.40, -0.04, P = 0.02) although not associated with body mass index (BMI) (β: -0.09, 95%CI: -0.19, 0.01, P = 0.07). Each 1 steps/min increase in peak 1 cadence and peak 30 cadence was associated with a lower BFR (β: -0.09, 95%CI: -0.12, -0.06, P<0.01; β: -0.08, 95%CI: -0.11, -0.05, P<0.01). The high step and intensity group was most associated with lower overweightness/obesity indicators. ROC analysis showed that the optimal cut-off points of daily step count, peak 1 cadence and peak 30 cadence for predicting overweightness/obesity were 9,135 steps, 126.9 steps/min and 89.0 steps/min, respectively.
Higher daily step counts and intensity appear associated with a lower risk of obesity, although daily step counts is not associated with BMI. For women aged 60-70, aiming for over 9,135 steps/day is suggested. Adjusting step counts and intensity according to individual circumstances is advisable.
探讨加速度计测量的每日步数和运动强度与中国老年女性超重/肥胖之间的关联。
在中国老年女性体育活动与健康研究（PAHIOWS）中收集了1085名女性的数据。采用多元线性回归分析评估每日总步数、峰值步频及其联合作用与超重/肥胖指标之间的关联。采用受试者工作特征曲线（ROC）分析确定区分超重/肥胖的每日步数和峰值步频的最佳截断值。
每日步数、步频或运动强度均与较低的超重/肥胖指标独立相关。每日步数每增加1000步，身体脂肪率（BFR）降低（β：-0.22，95%CI：-0.40，-0.04，P = 0.02），但与体重指数（BMI）无关（β：-0.09，95%CI：-0.19，0.01，P = 0.07）。峰值1步频和峰值30步频每增加1步/分钟，BFR降低（β：-0.09，95%CI：-0.12, -0.06，P<0.01；β：-0.08，95%CI：-0.11, -0.05，P<0.01）。高步数和高强度组与较低的超重/肥胖指标关联最为密切。ROC分析显示，预测超重/肥胖的每日步数、峰值1步频和峰值30步频的最佳截断点分别为9135步、126.9步/分钟和89.0步/分钟。
较高的每日步数和运动强度似乎与较低的肥胖风险相关，尽管每日步数与BMI无关。对于60 - 70岁的女性，建议每天步数超过9135步。建议根据个人情况调整步数和运动强度。
