Update and Novel Validation of the Pregnancy Physical Activity Questionnaire (PPAQ)
妊娠体力活动问卷 (PPAQ) 的更新和新颖验证
基本信息
- 批准号:9766345
- 负责人:
- 金额:$ 22.77万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-20 至 2021-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccelerometerAlgorithmsBehaviorCalibrationCategoriesCellular PhoneClassificationClipDataDetectionDiseaseDoseEnrollmentEtiologyExerciseFetal DiseasesFirst Pregnancy TrimesterGestational DiabetesGoalsGuidelinesHip region structureHouseholdImageIntervention StudiesLightLocomotionMeasurementMeasuresMethodsMonitorNon-Insulin-Dependent Diabetes MellitusOccupationalOutcomeParticipantPatient Self-ReportPerformancePersonsPhysical activityPhysical assessmentPopulationPostpartum PeriodPre-EclampsiaPregnancyPregnancy TrimestersPregnant WomenPremature BirthPreventionProspective cohortPublic HealthQuestionnairesResearchRisk FactorsSample SizeSecond Pregnancy TrimesterSportsStandardizationStrenuous ExerciseSurveillance MethodsSystemTabletsTextText MessagingThird Pregnancy TrimesterTimeTransportationUpdateValidationValidity and ReliabilityValidity of Self ReportWorkWristactigraphyadverse pregnancy outcomecaregivingcostdesigndisorder preventionearly pregnancyepidemiology studyethnic diversityexercise interventionfetalgestational weight gainhigh riskimprovedinnovationinstrumentlaboratory experimentlifestyle factorslight intensitynovelphysical inactivitypopulation basedrecruitsedentarysedentary lifestylesocial mediasurveillance studytherapy designtooltv watching
项目摘要
Project Summary
Physical inactivity during pregnancy is an urgent public health concern and is implicated in excessive
gestational weight gain, gestational diabetes, pre-eclampsia, and preterm birth. Self-reported assessments of
physical activity (PA) continue to be the most common method for surveillance, epidemiological, and
intervention studies of pregnancy PA given low compliance with activity monitor wear during pregnancy, need
for large sample sizes, and the high cost of monitors. Therefore, it is critical that PA questionnaires be both
valid and reliable. The Pregnancy Physical Activity Questionnaire (PPAQ) was developed by our group in 2004
(R03HD039341) as the first validated pregnancy PA questionnaire and has since become one of the most
widely used instruments for assessing PA in this population. However, the PPAQ was validated using
algorithms derived from accelerometers worn on the hip during fixed-duration simulated laboratory activities,
which have been shown to perform poorly in free-living settings, particularly in the detection of sedentary and
light intensity activity. Since that time, advances have been made in accelerometer and direct
observation calibration and validation methods used to determine the validity of self-reported PA and
sedentary behavior (SB). This is important as SB has recently emerged as an important new risk factor for
adverse pregnancy outcomes independent of PA. Therefore, we are at a key point in time where innovative
validation methods can be used to evaluate PPAQ performance in free-living settings and update and
refine this widely used self-report tool. Our highly qualified research team will first update the PPAQ to
include contemporary SB options (Aim #1). We will then recruit an ethnically diverse prospective cohort of 50
pregnant women in early pregnancy. In each trimester, participants will complete the updated PPAQ, then
wear a wrist-worn Actigraph GT3XP-BTLE and a wearable camera over 7-d of free-living activity. Wearable
camera images are the best objective method currently available to categorize the context of accelerometer-
defined episodes of free-living activity. Using these data, we will: 1) Create a new short-form version of the
PPAQ (PPAQ-SF) to reduce participant burden in studies which measure a wide range of other lifestyle factors
(Aim #2); 2) Determine the accuracy and precision of the updated PPAQ and PPAQ-SF to estimate time spent
in type (e.g., household/caregiving, occupational, sports/exercise, transportation, locomotion) and intensity
classification (light, moderate, vigorous) of PA, and SB in a free-living setting (Aim #3). Thus, the updated
PPAQ and new PPAQ-SF developed from this work will be the first questionnaires validated in free-living
settings to provide accurate and precise estimates of PA and SB in pregnant women. These tools will be
critical for: 1) surveillance studies assessing compliance with PA guidelines, 2) etiologic studies of PA and
maternal-fetal outcomes designed to identify the optimal dose of pregnancy PA for the prevention of these
disorders, and 3) to determine the efficacy of exercise interventions designed to increase PA in pregnancy.
项目概要
怀孕期间缺乏身体活动是一个紧迫的公共卫生问题,并且与过度运动有关
妊娠期体重增加、妊娠期糖尿病、先兆子痫和早产。自我报告的评估
体力活动 (PA) 仍然是监测、流行病学和诊断的最常用方法
鉴于怀孕期间佩戴活动监测仪的依从性较低,需要进行妊娠 PA 干预研究
对于大样本量和监视器的高成本。因此,PA 问卷既要
有效、可靠。妊娠体力活动问卷(PPAQ)是我们课题组于2004年开发的
(R03HD039341)作为第一个经过验证的妊娠 PA 问卷,此后成为最有效的妊娠 PA 问卷之一
广泛使用的工具来评估该人群的 PA。然而,PPAQ 已使用以下方法进行验证:
在固定持续时间的模拟实验室活动期间,源自佩戴在臀部的加速度计的算法,
已被证明在自由生活环境中表现不佳,特别是在检测久坐和
光强度活动。从那时起,加速计和直接测量技术取得了进步。
用于确定自我报告的 PA 有效性的观察校准和验证方法
久坐行为(SB)。这一点很重要,因为 SB 最近已成为一个重要的新风险因素
不良妊娠结局与 PA 无关。因此,我们正处于创新的关键时期。
验证方法可用于评估自由生活环境中的 PPAQ 性能并更新和
完善这个广泛使用的自我报告工具。我们高素质的研究团队将首先将 PPAQ 更新为
包括当代 SB 选项(目标#1)。然后,我们将招募 50 名不同种族的前瞻性队列
怀孕初期的孕妇。在每个三个月中,参与者将完成更新的 PPAQ,然后
佩戴腕戴式 Actigraph GT3XP-BTLE 和可穿戴相机进行超过 7 天的自由生活活动。穿戴式
相机图像是目前可用于对加速度计环境进行分类的最佳客观方法 -
自由生活活动的定义片段。使用这些数据,我们将: 1) 创建一个新的简短版本
PPAQ (PPAQ-SF) 可减轻测量各种其他生活方式因素的研究中参与者的负担
(目标#2); 2) 确定更新的 PPAQ 和 PPAQ-SF 的准确度和精密度以估计所花费的时间
类型(例如家庭/看护、职业、运动/锻炼、交通、运动)和强度
在自由生活环境中对 PA 和 SB 进行分类(轻度、中度、剧烈)(目标#3)。因此,更新后的
根据这项工作开发的 PPAQ 和新的 PPAQ-SF 将是第一个在自由生活中验证的问卷
设置以提供准确且精确的孕妇 PA 和 SB 估计。这些工具将
对于以下方面至关重要:1) 评估 PA 指南遵守情况的监测研究,2) PA 的病因学研究和
母婴结局旨在确定妊娠 PA 的最佳剂量,以预防这些情况
疾病,以及 3) 确定旨在增加妊娠期 PA 的运动干预措施的功效。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The impact of the COVID-19 pandemic on physical activity and sedentary behavior during pregnancy: a prospective study.
- DOI:10.1186/s12884-022-05236-3
- 发表时间:2022-12-03
- 期刊:
- 影响因子:3.1
- 作者:Park S;Marcotte RT;Staudenmayer JW;Strath SJ;Freedson PS;Chasan-Taber L
- 通讯作者:Chasan-Taber L
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
LISA CHASAN-TABER其他文献
LISA CHASAN-TABER的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('LISA CHASAN-TABER', 18)}}的其他基金
Cardiovascular Disease Risk Factors in At-Risk Hispanic Women following Pregnancy Complications
妊娠并发症后高危西班牙裔女性的心血管疾病危险因素
- 批准号:
10693125 - 财政年份:2022
- 资助金额:
$ 22.77万 - 项目类别:
Cardiovascular Disease Risk Factors in At-Risk Hispanic Women following Pregnancy Complications
妊娠并发症后高危西班牙裔女性的心血管疾病危险因素
- 批准号:
10425763 - 财政年份:2022
- 资助金额:
$ 22.77万 - 项目类别:
Randomized Lifestyle Intervention in Overweight and Obese Pregnant Hispanic Women
超重和肥胖西班牙裔孕妇的随机生活方式干预
- 批准号:
8578412 - 财政年份:2013
- 资助金额:
$ 22.77万 - 项目类别:
Randomized Lifestyle Intervention in Overweight and Obese Pregnant Hispanic Women
超重和肥胖西班牙裔孕妇的随机生活方式干预
- 批准号:
9044766 - 财政年份:2013
- 资助金额:
$ 22.77万 - 项目类别:
Randomized Lifestyle Intervention in Overweight and Obese Pregnant Hispanic Women
超重和肥胖西班牙裔孕妇的随机生活方式干预
- 批准号:
8835097 - 财政年份:2013
- 资助金额:
$ 22.77万 - 项目类别:
Randomized Lifestyle Intervention in Overweight and Obese Pregnant Hispanic Women
超重和肥胖西班牙裔孕妇的随机生活方式干预
- 批准号:
8707444 - 财政年份:2013
- 资助金额:
$ 22.77万 - 项目类别:
An Exercise Intervention to Prevent Recurrent GDM
预防妊娠期糖尿病复发的运动干预
- 批准号:
8059522 - 财政年份:2010
- 资助金额:
$ 22.77万 - 项目类别:
An Exercise Intervention to Prevent Recurrent GDM
预防妊娠期糖尿病复发的运动干预
- 批准号:
7209667 - 财政年份:2007
- 资助金额:
$ 22.77万 - 项目类别:
An Exercise Intervention to Prevent Recurrent GDM
预防妊娠期糖尿病复发的运动干预
- 批准号:
7339667 - 财政年份:2007
- 资助金额:
$ 22.77万 - 项目类别:
An Exercise Intervention to Prevent Recurrent GDM
预防妊娠期糖尿病复发的运动干预
- 批准号:
8012865 - 财政年份:2007
- 资助金额:
$ 22.77万 - 项目类别:
相似海外基金
Developing deep learning algorithms for studying infant brain and behavior relationships
开发深度学习算法来研究婴儿大脑和行为关系
- 批准号:
10263607 - 财政年份:2021
- 资助金额:
$ 22.77万 - 项目类别:
Real-time statistical algorithms for controlling neural dynamics and behavior
用于控制神经动力学和行为的实时统计算法
- 批准号:
10001503 - 财政年份:2018
- 资助金额:
$ 22.77万 - 项目类别:
Real-time statistical algorithms for controlling neural dynamics and behavior
用于控制神经动力学和行为的实时统计算法
- 批准号:
9789318 - 财政年份:2018
- 资助金额:
$ 22.77万 - 项目类别:
CCF-BSF: CIF: Small: Identification and Isolation of Malicious Behavior in Multi-Agent Optimization Algorithms
CCF-BSF:CIF:小:多代理优化算法中恶意行为的识别和隔离
- 批准号:
1714672 - 财政年份:2017
- 资助金额:
$ 22.77万 - 项目类别:
Standard Grant
EAGER: Using Learning Algorithms to Morph Product Behavior for Specific Task Contexts and Cognitive Styles of Users
EAGER:使用学习算法针对特定任务环境和用户认知风格来改变产品行为
- 批准号:
1548234 - 财政年份:2015
- 资助金额:
$ 22.77万 - 项目类别:
Standard Grant
CAREER: Human Behavior Assessment from Internet Usage: Foundations, Applications and Algorithms
职业:基于互联网使用的人类行为评估:基础、应用程序和算法
- 批准号:
1559588 - 财政年份:2015
- 资助金额:
$ 22.77万 - 项目类别:
Continuing Grant
CAREER: Human Behavior Assessment from Internet Usage: Foundations, Applications and Algorithms
职业:基于互联网使用的人类行为评估:基础、应用程序和算法
- 批准号:
1254117 - 财政年份:2013
- 资助金额:
$ 22.77万 - 项目类别:
Continuing Grant
Machine learning algorithms for automated analysis of player behavior in next-generation video games
用于自动分析下一代视频游戏中玩家行为的机器学习算法
- 批准号:
396001-2009 - 财政年份:2012
- 资助金额:
$ 22.77万 - 项目类别:
Collaborative Research and Development Grants
Machine learning algorithms for automated analysis of player behavior in next-generation video games
用于自动分析下一代视频游戏中玩家行为的机器学习算法
- 批准号:
396001-2009 - 财政年份:2011
- 资助金额:
$ 22.77万 - 项目类别:
Collaborative Research and Development Grants
Machine learning algorithms for automated analysis of player behavior in next-generation video games
用于自动分析下一代视频游戏中玩家行为的机器学习算法
- 批准号:
396001-2009 - 财政年份:2010
- 资助金额:
$ 22.77万 - 项目类别:
Collaborative Research and Development Grants