Literature DB >> 22398390

Differences in demographic, behavioral, and biological variables between those with valid and invalid accelerometry data: implications for generalizability.

Paul D Loprinzi1, Bradley J Cardinal, Carlos J Crespo, Gary R Brodowicz, Ross E Andersen, Ellen Smit.   

Abstract

BACKGROUND: The exclusion of participants with invalid accelerometry data (IAD) may lead to biased results and/or lack of generalizability in large population studies. The purpose of this study was to investigate whether demographic, behavioral, and biological differences occur between those with IAD and valid accelerometry data (VAD) among adults using a representative sample of the civilian noninstitutionalized U.S. population.
METHODS: Ambulatory participants from NHANES (2003-2004) who were 20-85 years of age were included in the current study and wore an ActiGraph 7164 accelerometer for 7 days. A "valid person" was defined as those with 4 or more days of at least 10+ hrs of monitoring per day. Among adults (20-85 yrs), 3088 participants provided VAD and 987 provided IAD. Demographic, behavioral, and biological information were obtained from the household interview or from data obtained in a mobile examination center.
RESULTS: Differences were observed in age, BMI, ethnicity, education, smoking status, marital status, use of street drugs, current health status, HDL-cholesterol, C-reactive protein, self-reported vigorous physical activity, and plasma glucose levels between those with VAD and IAD.
CONCLUSIONS: Investigators should take into consideration the potential cut-off bias in interpreting results based on data that excludes IAD participants.

Entities:  

Mesh:

Year:  2012        PMID: 22398390

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  12 in total

Review 1.  Health Benefits of Light-Intensity Physical Activity: A Systematic Review of Accelerometer Data of the National Health and Nutrition Examination Survey (NHANES).

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Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

2.  Accelerometer adherence and performance in a cohort study of US Hispanic adults.

Authors:  Kelly R Evenson; Daniela Sotres-Alvarez; Y U Deng; Simon J Marshall; Carmen R Isasi; Dale W Esliger; Sonia Davis
Journal:  Med Sci Sports Exerc       Date:  2015-04       Impact factor: 5.411

3.  Ankle Accelerometry for Assessing Physical Activity Among Adolescent Girls: Threshold Determination, Validity, Reliability, and Feasibility.

Authors:  Erin R Hager; Margarita S Treuth; Candice Gormely; LaShawna Epps; Soren Snitker; Maureen M Black
Journal:  Res Q Exerc Sport       Date:  2015-08-19       Impact factor: 2.500

Review 4.  Physical activity, visual impairment, and eye disease.

Authors:  Sharon R Ong; Jonathan G Crowston; Paul D Loprinzi; Pradeep Y Ramulu
Journal:  Eye (Lond)       Date:  2018-04-03       Impact factor: 3.775

5.  Effect of incentive amount on US adolescents' participation in an accelerometer data collection component of a national survey.

Authors:  April Y Oh; Andrew Caporaso; Terisa Davis; Laura A Dwyer; Linda C Nebeling; Benmei Liu; Erin Hennessy
Journal:  Field methods       Date:  2021-02-11

6.  Non-consent to a wrist-worn accelerometer in older adults: the role of socio-demographic, behavioural and health factors.

Authors:  Maliheh Hassani; Mika Kivimaki; Alexis Elbaz; Martin Shipley; Archana Singh-Manoux; Séverine Sabia
Journal:  PLoS One       Date:  2014-10-24       Impact factor: 3.240

7.  Health behavior characteristics and all-cause mortality.

Authors:  Paul D Loprinzi
Journal:  Prev Med Rep       Date:  2016-03-22

8.  Toddler physical activity study: laboratory and community studies to evaluate accelerometer validity and correlates.

Authors:  Erin R Hager; Candice E Gormley; Laura W Latta; Margarita S Treuth; Laura E Caulfield; Maureen M Black
Journal:  BMC Public Health       Date:  2016-09-06       Impact factor: 3.295

9.  Correlates of accelerometry non-adherence in an economically disadvantaged minority urban adult population.

Authors:  Matthew S Cato; Katarzyna Wyka; Emily B Ferris; Kelly R Evenson; Fang Wen; Joan M Dorn; Lorna E Thorpe; Terry T-K Huang
Journal:  J Sci Med Sport       Date:  2020-02-05       Impact factor: 4.597

10.  Concurrent healthy behavior adoption and diabetic retinopathy in the United States.

Authors:  Paul D Loprinzi
Journal:  Prev Med Rep       Date:  2015-07-18
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