Abstract
Background
Self-reported data of physical activity are practical and inexpensive ways to collect data, although, subject to significant measurement errors. Most physical activity questionnaires used in the USA have been predominately validated among non-Hispanic White American populations with limited attention paid to the validity of the measures among racial/ethnic minorities. Additionally, there are limited studies that have evaluated factors related to over- and under-reporting errors linked to self-reported physical activity data, particularly among African Americans. The primary objectives of this study were to validate self-reported levels of physical activity and sedentary behavior among African-American men and women against objective measurements and to identify the factors related to under- and over-reporting.
Methods
This study was a 7-day, cross-sectional study conducted on African-American men and women (n = 56) who were between 21–70 years of age. Participants were required to attend two study visits for the collection of self-reported and objective measurements of physical activity and sedentary behavior (VO2max, DEXA scan, anthropometrics, ActivPal accelerometer, resting metabolic rate (RMR) and International Physical Activity Questionnaire (IPAQ) questionnaire.
Results
Overall, energy expenditure measured by ActivPal was 24.1 MET/hr/week whereas self-reported (IPAQ) energy expenditure was 52.66 MET/hr/week. Self-reported sedentary time was 40.37 h/week, whereas sedentary time measured by ActivPal was 63.03 h/week. Obese participants tended to over-report their physical activity levels more so than non-obese participants (Obese, Activpal—23.89 MET/hr/week vs IPAQ—58.98 MET/hr/week; Non-obese, Activpal – 24.48 MET/hr/week vs IPAQ – 42.55 MET/hr/week). Both obese and non-obese participants underestimated their sedentary time (Obese, Activpal – 66.89 h/week vs IPAQ—43.92 h/week; Non-obese, Activpal -56.07 h/week vs IPAQ – 33.98 h/week).
Conclusions
The results of this study found that the ActivPal validated physical activity and sedentary behavior among African-Americans. Self-reported data were found to be highly variable, whereas the objective assessments of physical activity and sedentary behavior had limited variability. It was also found that obese individuals over-estimated their self-reported physical activity levels and under-estimated sedentary behavior in comparison to the ActivPal. These findings strongly support the need to measure physical activity and sedentary behaviors objectively, particularly among African-Americans.
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Data Availability
Anonymized data will be provided upon reasonable request from a qualified investigator.
References
Neuhouser ML, Di C, Tinker LF, Thomson C, Sternfeld B, Mossavar-Rahmani Y, Stefanick ML, Sims S, Curb JD, Lamonte M, Seguin R, Johnson KC, Prentice RL. Physical activity assessment: biomarkers and self-report of activity-related energy expenditure in the WHI. Am J Epidemiol. 2013;177(6):576–85. https://doi.org/10.1093/aje/kws269.
Ainsworth BE, Caspersen CJ, Matthews CE, Mâsse LC, Baranowski T, Zhu W. Recommendations to improve the accuracy of estimates of physical activity derived from self report. J Phys Act Health. 2012;9(Suppl 1):S76–84. https://doi.org/10.1123/jpah.9.s1.s76.
Dempsey PC, Matthews CE, Dashti SG, et al. Sedentary behavior and chronic disease: mechanisms and future directions. J Phys Act Health. 2020;17(1):52–61. https://doi.org/10.1123/jpah.2019-0377. (Published 2020 Jan 1).
Kerr NR, Booth FW. Contributions of physical inactivity and sedentary behavior to metabolic and endocrine diseases. Trends Endocrinol Metab. 2022;33(12):817–27. https://doi.org/10.1016/j.tem.2022.09.002.
Friedenreich CM, Ryder-Burbidge C, McNeil J. Physical activity, obesity and sedentary behavior in cancer etiology: epidemiologic evidence and biologic mechanisms. Mol Oncol. 2021;15(3):790–800. https://doi.org/10.1002/1878-0261.12772.
Sansano-Nadal O, Giné-Garriga M, Rodríguez-Roca B, et al. Association of self-reported and device-measured sedentary behaviour and physical activity with health-related quality of life among European older adults. Int J Environ Res Public Health. 2021;18(24):13252. https://doi.org/10.3390/ijerph182413252. (Published 2021 Dec 16).
Wilson OWA, Bopp CM, Papalia Z, Bopp M. Objective vs self-report assessment of height, weight and body mass index: Relationships with adiposity, aerobic fitness and physical activity. Clin Obes. 2019;9(5):e12331. https://doi.org/10.1111/cob.12331.
Welk GJ, Kim Y, Stanfill B, Osthus DA, Calabro MA, Nusser SM, Carriquiry A. Validity of 24-h physical activity recall: physical activity measurement survey. Med Sci Sports Exerc. 2014. https://doi.org/10.1249/MSS.0000000000000314.
Ara Ignacio, Raquel Aparicio-Ugarriza, David Morales-Barco, WysllennyNascimento de Souza, Esmeralda Mata and Marcela Gonzalez-Gross. 2015. Physical activity assessment in the general population; validated self-report methods. Nutricion Hospitalaria. https://doi.org/10.3305/nh.2015.31.sup3.8768
Cohen SS, Matthews CE, Signorello LB, Schlundt DG, Blot WJ, Buchowski MS. Sedentary and physically active behavior patterns among low-income African-American and white adults living in the southeastern United States. PLoS ONE. 2013. https://doi.org/10.1371/journal.pone.0059975.
Dai S, Carroll DD, Watson KB, Paul P, Carlson SA, Fulton JE. Participation in types of physical activities among US adults–National Health and Nutrition Examination Survey 1999–2006. J Phys Act Health. 2015. https://doi.org/10.1123/jpah.2015-0038.
Baruth M, Sharpe PA, Hutto B, Wilcox S, Warren TY (2013) Patterns of sedentary behavior in overweight and obese women. Ethnicity & Disease
Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, Altenburg TM, Chastin SFM and SBRN Terminology Consensus Project Participants. 2017. Sedentary Behavior Research Network (SBRN) - Terminology Consensus Project process and outcome. Int J BehavNutr Phys Act 14: 75
Prentice RL, Mossavar-Rahmani Y, Huang Y, Van Horn L, Beresford SAA, Caan B, Tinker L, Schoeller D, Bingham S, Eaton CB, Thomson C, Johnson KC, Ockene J, Sarto G, Heiss G, Neuhouser ML. Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. Am J Epidemiol. 2011. https://doi.org/10.1093/aje/kwr140.
Freedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, Midthune D, Moshfegh AJ, Neuhouser ML, Prentice RL, Schatzkin A, Spiegelman D, Subar AF, Tinker LF, Willett W. Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol. 2014. https://doi.org/10.1093/aje/kwu116.
Obi OC, Nnonyelu AC, Onobrakpeya A, Ogundele OJ. Benefits and barriers to physical activity among African women: A systematic review. Sports Med Health Sci. 2022;5(1):59–66. https://doi.org/10.1016/j.smhs.2022.12.001. (Published 2022 Dec 8).
Abshire DA, Wilson DK, Sweeney AM, Pinto BM. Correlates of moderate-to-vigorous physical activity and exercise motivation in underserved African American men. Am J Mens Health. 2019;13(3):1557988319855155. https://doi.org/10.1177/1557988319855155.
Gothe NP. Correlates of physical activity in urban African American adults and older adults: testing the social cognitive theory. Ann Behav Med. 2018;52(9):743–51. https://doi.org/10.1093/abm/kax038.
Klesges LM, Baranowski T, Beech B, et al. Social desirability bias in self-reported dietary, physical activity and weight concerns measures in 8- to 10-year-old African-American girls: results from the Girls Health Enrichment Multisite Studies (GEMS). Prev Med. 2004;38(Suppl):S78–87. https://doi.org/10.1016/j.ypmed.2003.07.003.
Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, Baer DJ, Midthune D, Troiano RP, Bowles H, Subar AF. Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018. https://doi.org/10.1093/ajcn/nqx002.
Mossavar-Rahmani Y, Tinker LF, Huang Y, Neuhouser ML, McCann SE, Seguin RA, Vitolins MZ, David Curb J, Prentice RL. Factors relating to eating style, social desirability, body image and eating meals at home increase the precision of calibration equations correcting self-report measures of diet using recovery biomarkers: findings from the Women’s Health Initiative. Nutr J. 2013. https://doi.org/10.1186/1475-2891-12-63.
Yokoyama, Yoko, Satoshi Sasaki, Yoshimi Suzukamo, Shin Yamazaki, Misa Takegami, Naoki Kakudate, Takeshi Hasegawa, Megumi Haga, Takehiko Kawaguchi, Toshiko Moriya, Osamu Hotta, Shunichi Fukuhara and Dialysis Nutrition Research Group. 2013. Interpersonal psychosocial factors associated with underreported dietary energy intake in hemodialysis patients. Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundationhttps://doi.org/10.1053/j.jrn.2012.01.021
Scholes S, Bridges S, Fat LN, Mindell JS. Comparison of the Physical Activity and Sedentary Behaviour Assessment Questionnaire and the Short-Form International Physical Activity Questionnaire: an Analysis of Health Survey for England data. PLoS ONE. 2016. https://doi.org/10.1371/journal.pone.0151647.
Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011. https://doi.org/10.1186/1479-5868-8-115.
Combest TM, Howard RS, Andrews AM. Comparison of circumference body composition measurements and eight-point bioelectrical impedance analysis to dual energy X-Ray absorptiometry to measure body fat percentage. Mil Med. 2017. https://doi.org/10.7205/MILMED-D-16-00344.
Park JY, Mitrou PN, Keogh RH, Luben RN, Wareham NJ, Khaw K-T. Effects of body size and sociodemographic characteristics on differences between self-reported and measured anthropometric data in middle-aged men and women: the EPIC-Norfolk study. Eur J Clin Nutr. 2011. https://doi.org/10.1038/ejcn.2010.259.
Badawy MM, Muaidi QI. Cardio respiratory response: Validation of new modifications of Bruce protocol for exercise testing and training in elite Saudi triathlon and soccer players. Saudi J Biol Sci. 2019. https://doi.org/10.1016/j.sjbs.2017.05.009.
MORA -- PAL Knowledge Base. https://kb.palt.com/articles/mora/. Accessed June 11, 2021
Lyden K, Keadle SK, Staudenmayer J, Freedson PS. The activPALTM accurately classifies activity intensity categories in healthy adults. Med Sci Sports Exerc. 2017. https://doi.org/10.1249/MSS.0000000000001177.
Bland JM, Altman DG (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet (London, England)
Carrasco JL, Phillips BR, Puig-Martinez J, King TS, Chinchilli VM. Estimation of the concordance correlation coefficient for repeated measures using SAS and R. Comput Methods Programs Biomed. 2013. https://doi.org/10.1016/j.cmpb.2012.09.002.
Chastin SFM, Culhane B, Dall PM. Comparison of self-reported measure of sitting time (IPAQ) with objective measurement (activPAL). Physiol Meas. 2014. https://doi.org/10.1088/0967-3334/35/11/2319.
Jakicic JM, King WC, Gibbs BB, Rogers RJ, Rickman AD, Davis KK, Wahed A, Belle SH. Objective versus self-reported physical activity in overweight and obese young adults. J Phys Act Health. 2015. https://doi.org/10.1123/jpah.2014-0277.
Verhoog S, Gubelmann C, Guessous I, Bano A, Franco OH, Marques-Vidal P. Comparison of the Physical Activity Frequency Questionnaire (PAFQ) with accelerometry in a middle-aged and elderly population: the CoLaus study. Maturitas. 2019. https://doi.org/10.1016/j.maturitas.2019.08.004.
Cooper JA, Nguyen DD, Ruby BC, Schoeller DA. Maximal sustained levels of energy expenditure in humans during exercise. Med Sci Sports Exerc. 2011. https://doi.org/10.1249/MSS.0b013e31822430ed.
Crutzen R, Goritz AS. Does social desirability compromise self-reports of physical activity in web-based research? Int J Behav Nutr Phys Act. 2011. https://doi.org/10.1186/1479-5868-8-31.
Watkinson C, Mf E, van Sluijs S, Sutton WH, Corder K, Griffin SJ. Overestimation of physical activity level is associated with lower BMI: a cross-sectional analysis. Int J Behav Nutr Phys Act. 2010. https://doi.org/10.1186/1479-5868-7-68.
Prince SA, Rasmussen CL, Biswas A, Holtermann A, Aulakh T, Merucci K, Coenen P. The effect of leisure time physical activity and sedentary behaviour on the health of workers with different occupational physical activity demands: a systematic review. Int J Behav Nutr Phys Act. 2021. https://doi.org/10.1186/s12966-021-01166-z.
Chastin SFM, Dontje ML, Skelton DA, Cukic I, Shaw RJ, Gill JMR, Greig CA, Gale CR, Deary IJ, Der G, Dall PM, Seniors USP team. Systematic comparative validation of self-report measures of sedentary time against an objective measure of postural sitting (activPAL). Int J Behav Nutr Phys Act. 2018. https://doi.org/10.1186/s12966-018-0652-x.
O’Brien MW, Yanlin Wu, Petterson JL, Bray NW, Kimmerly DS. Validity of the ActivPAL monitor to distinguish postures: a systematic review. Gait Posture. 2022. https://doi.org/10.1016/j.gaitpost.2022.03.002.
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Hicks, J., Adams-Campbell, L.L., Lu, J. et al. Validation Study of Physical Activity and Sedentary Behavior in African-American Men and Women. J. Racial and Ethnic Health Disparities (2023). https://doi.org/10.1007/s40615-023-01734-y
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DOI: https://doi.org/10.1007/s40615-023-01734-y