Patterns of Fitbit Use and Activity Levels Among African American Breast Cancer Survivors During an eHealth Weight Loss Randomized Controlled Trial

被引:7
|
作者
Ferrante, Jeanne M. [1 ,2 ,3 ]
Lulla, Aaron [4 ]
Williamson, Julie D. [4 ]
Devine, Katie A. [2 ]
Ohman-Strickland, Pamela [2 ,5 ]
Bandera, Elisa V. [2 ]
机构
[1] Rutgers Robert Wood Johnson Med Sch, Dept Family Med & Community Hlth, New Brunswick, NJ USA
[2] Rutgers Canc Inst New Jersey, Canc Prevent Control & Populat Res, New Brunswick, NJ USA
[3] Inst Hlth Hlth Care Policy & Aging Res, 30 Coll Ave, New Brunswick, NJ 08903 USA
[4] Rutgers Robert Wood Johnson Med Sch, Preliminary Med, Piscataway, NJ USA
[5] Rutgers Sch Publ Hlth, Dept Biostat & Epidemiol, Piscataway, NJ USA
基金
美国国家卫生研究院;
关键词
breast cancer survivors; African American; activity trackers; physical activity; INCREASING PHYSICAL-ACTIVITY; OLDER-ADULTS; FOLLOW-UP; EXERCISE; INTERVENTIONS; ASSOCIATION; POPULATION; GUIDELINES; BARRIERS; HEALTH;
D O I
10.1177/08901171211036700
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: This study examined adherence with a physical activity tracker and patterns of activity among different subgroups of African American/Black breast cancer survivors (AABCS). Design: Secondary analysis of weight loss trial that used an activity tracker (FitBit) with or without a commercial eHealth program (SparkPeople) over 12 months. Setting and Subjects: AABCS (N = 44) in New Jersey. Measures and Analysis: Adherence with tracker use, steps per day, and active minutes per week were compared by demographic and clinical characteristics using nonparametric statistics. Results: 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). Conclusion: 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.
引用
收藏
页码:94 / 105
页数:12
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