Minute level step counts and physical activity data from the National Health and Nutrition Examination Survey (NHANES) 2011-2014
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资源简介:
The National Health and Nutrition Examination Survey (NHANES) is a nationally
representative study that collects demographic, socioeconomic, dietary, and
health-related information from 10,000 Americans annually. In Wave G
(2011-2012) and Wave H (2013-2014), participants wore an ActiGraph GT3X+ on
the non-dominant wrist for seven consecutive days. Publicly available data
include minute-level wear predictions (wake wear, sleep wear, unknown,
nonwear), data quality flags, and monitor-independent movement summary units
(MIMS). Additionally, raw triaxial accelerometer data recorded at 80 Hz are
provided, enabling detailed analyses beyond MIMS.
We applied five step counting algorithms and the ActiGraph Activity Count (AC)
algorithm to the raw data to create a dataset of minute-level step counts. The
dataset also includes minute level AC, MIMS, wear predictions, and wear flags
for all participants who wore accelerometers in NHANES 2011-2014\. These data
facilitate detailed investigations of accelerometry-measured physical activity
patterns in a nationally representative U.S. population. Potential analyses
include examination of within-day activity patterns and their association with
health outcomes.
美国国家健康与营养检查调查(National Health and Nutrition Examination Survey, NHANES)是一项具有全国代表性的研究,每年从1万名美国民众中收集人口统计学、社会经济、饮食及健康相关信息。在G轮(2011-2012年)与H轮(2013-2014年)研究中,受试者需在非优势手腕连续佩戴ActiGraph GT3X+加速度计达7天。公开可用的数据包含分钟级佩戴状态预测(清醒时段佩戴、睡眠时段佩戴、未知状态、未佩戴)、数据质量标记,以及设备无关型运动汇总单位(MIMS)。此外,数据集还提供了以80赫兹采样率采集的三轴加速度计原始数据,可支撑超出MIMS范畴的精细化分析。
本研究针对原始加速度计数据应用了五种计步算法与ActiGraph活动计数(ActiGraph Activity Count, AC)算法,生成了包含分钟级步数的数据集。该数据集同时涵盖了NHANES 2011-2014研究中所有佩戴加速度计的受试者的分钟级AC值、MIMS值、佩戴状态预测结果与佩戴标记。这些数据可为具有全国代表性的美国人群中通过加速度计测得的身体活动模式开展精细化研究提供支撑,潜在研究方向包括单日活动模式及其与健康结局的关联分析。
提供机构:
PhysioNet
创建时间:
2025-01-21
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集基于美国国家健康与营养调查(NHANES)2011-2014年数据,包含14,693名参与者的分钟级步数和身体活动指标。数据通过处理原始80Hz三轴加速度计数据,应用了ADEPT、Oak、stepcount等多种步数统计算法,并提供了活动计数、MIMS单位、佩戴状态等多种衍生指标,可用于详细研究美国全国代表性人群的身体活动模式。
以上内容由遇见数据集搜集并总结生成



