Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1158/1055-9965.EPI-19-1386 |
Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer | |
Fore, Ruby; Hart, Jaime E.; Choirat, Christine; Thompson, Jennifer W.; Lynch, Kathleen; Laden, Francine; Chavarro, Jorge E.; James, Peter | |
通讯作者 | James, P |
来源期刊 | CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
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ISSN | 1055-9965 |
EISSN | 1538-7755 |
出版年 | 2020 |
卷号 | 29期号:4页码:736-743 |
英文摘要 | Background: Physical activity and sleep are behavioral risk factors for cancer that may be influenced by environmental exposures, including built and natural environments. However, many studies in this area are limited by residence-based exposure assessment and/or self-reported, time-aggregated measures of behavior. Methods: The Nurses' Health Study 3 (NHS3) Mobile Health Substudy is a pilot study of 500 participants in the prospective NHS3 cohort who use a smartphone application and a Fitbit for seven-day periods, four times over a year, to measure minute-level location, physical activity, heart rate, and sleep. Results: We have collected data on 435 participants, comprising over 6 million participant-minutes of heart rate, step, sleep, and location. Over 90% of participants had five days of >= 600 minutes of Fitbit wear-time in their first sampling week, and this percentage dropped to 70% for weeks 2 to 4. Over 819 sampling weeks, we observed an average of 7,581 minutes of heart rate and step data [interquartile range (IQR): 6,651-9,645] per participant-week, arid >2 million minutes of sleep in over 5,700 sleep bouts, We have recorded location data for 5,237 unique participant-days, averaging 104 location observations per participant-day (IQR: 103-107). Conclusions: This study describes a protocol to incorporate mobile health technology into a nationwide prospective cohort to measure high-resolution objective data on environment and behavior. Impact: This project could provide translational insights into interventions for urban planning to optimize opportunities for physical activity and healthy sleep patterns to reduce cancer risk, |
类型 | Article |
语种 | 英语 |
开放获取类型 | Bronze, Green Accepted |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000539995800007 |
WOS关键词 | NIGHT-SHIFT WORK ; ECOLOGICAL MOMENTARY ASSESSMENT ; BODY-MASS INDEX ; PHYSICAL-ACTIVITY ; BREAST-CANCER ; SLEEP DURATION ; PROSPECTIVE COHORT ; PROSTATE-CANCER ; ASSISTED GPS ; WEIGHT-GAIN |
WOS类目 | Oncology ; Public, Environmental & Occupational Health |
WOS研究方向 | Oncology ; Public, Environmental & Occupational Health |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/324728 |
作者单位 | [Fore, Ruby; Hart, Jaime E.; Thompson, Jennifer W.; Lynch, Kathleen; Laden, Francine; Chavarro, Jorge E.; James, Peter] Harvard Med Sch, 401 Pk Drive,Suite 401, Boston, MA 02215 USA; [Fore, Ruby; Thompson, Jennifer W.; Lynch, Kathleen; James, Peter] Harvard Pilgrim Hlth Care Inst, Boston, MA USA; [Hart, Jaime E.; Laden, Francine; Chavarro, Jorge E.] Brigham & Womens Hosp, Dept Med, Channing Div Network Med, 75 Francis St, Boston, MA 02115 USA; [Hart, Jaime E.; Laden, Francine; Chavarro, Jorge E.; James, Peter] Harvard TH Chan Sch Publ Hlth, Boston, MA USA; [Choirat, Christine] Swiss Fed Inst Technol, Swiss Data Sci Ctr, Zurich, Switzerland; [Choirat, Christine] EPFL, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Fore, Ruby,Hart, Jaime E.,Choirat, Christine,et al. Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer[J],2020,29(4):736-743. |
APA | Fore, Ruby.,Hart, Jaime E..,Choirat, Christine.,Thompson, Jennifer W..,Lynch, Kathleen.,...&James, Peter.(2020).Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer.CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION,29(4),736-743. |
MLA | Fore, Ruby,et al."Embedding Mobile Health Technology into the Nurses' Health Study 3 to Study Behavioral Risk Factors for Cancer".CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION 29.4(2020):736-743. |
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