Department of Family Medicine and Community Health, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Cancer Prevention, Control, and Population Research, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Am J Health Promot. 2022 Jan;36(1):94-105. doi: 10.1177/08901171211036700. Epub 2021 Aug 4.
This study examined adherence with a physical activity tracker and patterns of activity among different subgroups of African American/Black breast cancer survivors (AABCS).
Secondary analysis of weight loss trial that used an activity tracker (FitBit) with or without a commercial eHealth program (SparkPeople) over 12 months.
AABCS (N = 44) in New Jersey.
Adherence with tracker use, steps per day, and active minutes per week were compared by demographic and clinical characteristics using nonparametric statistics.
Median adherence was over 6 days per week throughout the 12-months. Adherence was significantly correlated with steps and active minutes (p < 0.015). Groups with lower adherence included: those with 5 or more conditions (p = 0.039), had higher number of household members (p = 0.008), and younger than 60 years (p = 0.044). Median number of steps per day remained consistently around 7000 throughout 12 months. Factors associated with lower activity included: age 60; retirement; higher number of household members, comorbidity, or baseline BMI; and those in the SparkPeople + Fitbit group. Self-monitoring, goal setting, and self-efficacy were significantly correlated with activity levels (p < 0.05).
Use of a physical activity tracker may help increase activity levels in AABCS. Certain subgroups, e.g. those older than age 60 years, retired, with BMI over 40, higher number of comorbidities or more household members, may require additional interventions.
本研究考察了不同亚组的非裔美国/黑人乳腺癌幸存者(AABCS)对活动追踪器的依从性和活动模式。
对减肥试验进行二次分析,该试验在 12 个月内使用活动追踪器(FitBit)加或不加商业电子健康计划(SparkPeople)。
新泽西州的 AABCS(N=44)。
使用非参数统计方法比较了不同人口统计学和临床特征的追踪器使用、每天的步数和每周的活跃分钟数。
中位数依从性在 12 个月内每周超过 6 天。依从性与步数和活跃分钟数呈显著相关(p<0.015)。依从性较低的组包括:有 5 种或以上疾病的组(p=0.039)、家庭人口较多的组(p=0.008)和年龄小于 60 岁的组(p=0.044)。每天的步数中位数在 12 个月内一直保持在 7000 左右。与活动量较低相关的因素包括:年龄≥60 岁、退休、家庭人口较多、合并症或基线 BMI 较高、以及参加 SparkPeople+Fitbit 组的患者。自我监测、目标设定和自我效能感与活动水平呈显著相关(p<0.05)。
使用活动追踪器可能有助于提高 AABCS 的活动水平。某些亚组,例如年龄大于 60 岁、退休、BMI 超过 40、合并症较多或家庭人口较多的患者,可能需要额外的干预措施。