Top

Journal of Public Health

Published in:

13-11-2021 | Original Article

Physical activity assessment in African Americans participating in a dietary weight-loss trial focused on soul food

Authors: John A. Bernhart, Gabrielle M. Turner-McGrievy, Sarah Eustis, Mary J. Wilson, Brent Hutto, Sara Wilcox

Published in: Journal of Public Health | Issue 8/2023

Abstract

Aim

This study compared indirect measurement of physical activity (PA) using the International Physical Activity Questionnaire-Short Form (IPAQ-SF) and direct using accelerometers in African American adults.

Subject and methods

African Americans in a southeastern US metropolitan city were recruited to participate in a lifestyle intervention. Participants were predominantly female (79%) and spanned a 40-year age range (min = 25, max = 65). Participants completed the IPAQ-SF and wore an Actigraph GT1M accelerometer on the right hip for a minimum of 7 days, including 1 weekend day. IPAQ-SF data were reduced using IPAQ scoring protocol; accelerometer data were reduced using Freedson cutpoints. We calculated minutes/day of moderate, vigorous, and moderate to vigorous PA, and sedentary time. Descriptive statistics summarized minutes/day. Paired-sample t-tests and Bland–Altman plots compared differences between methods. Pearson correlations assessed associations between the methods.

Results

In total, 158 participants completed the IPAQ-SF and 141 participants had usable accelerometer data. Participants reported significantly more vigorous and moderate to vigorous PA (12.6 ± 29.4 and 10.7 ± 39.1 min/day, respectively) and reported significantly less sedentary time (−189.6 ± 207.0 min/day) on the IPAQ-SF compared to the accelerometer. Correlations of interest ranged from 0.24 to 0.31. Bland–Altman analyses demonstrated measurement error of higher reporting of PA and lower reporting of sedentary time.

Conclusions

Measurement differences were in expected directions. Both measures correlated similarly in our sample compared to other populations. Future studies may compare other indirect measures of PA with direct. Measurement method may influence relationships of physical activity or sedentary time on other outcomes in clinical and practice settings.

Amireault S, Godin G, Lacombe J, Sabiston CM (2015) Validation of the Godin–Shephard Leisure-Time Physical Activity Questionnaire classification coding system using accelerometer assessment among breast cancer survivors. J Cancer Surviv 9:532–540. https://doi.org/10.1007/s11764-015-0430-6CrossRefPubMed

Azevedo MR, Araújo CLP, Reichert FF, Siqueira FV, da Silva MC, Hallal PC (2007) Gender differences in leisure-time physical activity. Int J Public Health 52:8–15. https://doi.org/10.1007/s00038-006-5062-1CrossRefPubMed

Baruth M, Wilcox S, Saunders RP, Hooker SP, Hussey JR, Blair SN (2013) Perceived environmental church support and physical activity among black church members. Health Educ Behav 40:712–720. https://doi.org/10.1177/1090198113477110CrossRefPubMedPubMedCentral

Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310CrossRefPubMed

Chin S-H, Kahathuduwa CN, Binks M (2016) Physical activity and obesity: what we know and what we need to know. Obes Rev 17:1226–1244. https://doi.org/10.1111/obr.12460CrossRefPubMed

Cleland C, Ferguson S, Ellis G, Hunter RF (2018) Validity of the International Physical Activity Questionnaire (IPAQ) for assessing moderate-to-vigorous physical activity and sedentary behaviour of older adults in the United Kingdom. BMC Med Res Methodol 18:176. https://doi.org/10.1186/s12874-018-0642-3CrossRefPubMedPubMedCentral

Cleland C, Hunter RF, Kee F, Cupples ME, Sallis JF, Tully MA (2014) Validity of the Global Physical Activity Questionnaire (GPAQ) in assessing levels and change in moderate–vigorous physical activity and sedentary behaviour. BMC Public Health 14:1255. https://doi.org/10.1186/1471-2458-14-1255CrossRefPubMedPubMedCentral

Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P (2003) International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35:1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FBCrossRefPubMed

de Vries HJ, Kooiman TJM, van Ittersum MW, van Brussel M, de Groot M (2016) Do activity monitors increase physical activity in adults with overweight or obesity? A systematic review and meta-analysis. Obesity 24:2078–2091. https://doi.org/10.1002/oby.21619CrossRefPubMed

DHHS (2018) Physical Activity Guidelines for Americans, 2nd edition. U.S. Department of Health and Human Services, Washington, DC. https://health.gov/paguidelines/second-edition/pdf/Physical_Activity_Guidelines_2nd_edition.pdf. Accessed 25 May 2019

Dowd KP, Szeklicki R, Minetto MA, Murphy MH, Polito A, Ghigo E, van der Ploeg H, Ekelund U, Maciaszek J, Stemplewski R, Tomczak M, Donnelly AE (2018) A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study. Int J Behav Nutr Phys Act 15:15. https://doi.org/10.1186/s12966-017-0636-2CrossRefPubMedPubMedCentral

Dyrstad SM, Hansen BH, Holme IM, Anderssen SA (2014) Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc 46:99–106. https://doi.org/10.1249/MSS.0b013e3182a0595fCrossRefPubMed

Evenson KR, Goto MM, Furberg RD (2015) Systematic review of the validity and reliability of consumer-wearable activity trackers. Int J Behav Nutr Phys Act 12:159. https://doi.org/10.1186/s12966-015-0314-1CrossRefPubMedPubMedCentral

Freedson PS, Melanson E, Sirard J (1998) Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc 30:777–781. https://doi.org/10.1097/00005768-199805000-00021CrossRefPubMed

Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, Dai S, Ford ES, Fox CS, Sheila F, Fullerton HJ, Cathleen G, Hailpern SM, Heit JA, Howard VJ, Huffman MD, Judd SE, Kissela BM, Kittner SJ et al (2014) Heart disease and stroke statistics—2014 update. Circulation 129:e28–e292. https://doi.org/10.1161/01.cir.0000441139.02102.80CrossRefPubMed

Grimm EK, Swartz AM, Hart T, Miller NE, Strath SJ (2012) Comparison of the IPAQ-Short Form and accelerometry predictions of physical activity in older adults. J Aging Phys Act 20:64–79. https://doi.org/10.1123/japa.20.1.64CrossRefPubMed

Guo W, Key TJ, Reeves GK (2019) Accelerometer compared with questionnaire measures of physical activity in relation to body size and composition: a large cross-sectional analysis of UK Biobank. BMJ Open 9:e024206. https://doi.org/10.1136/bmjopen-2018-024206CrossRefPubMedPubMedCentral

Hagströmer M, Oja P, Sjöström M (2006) The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr 9:755–762CrossRefPubMed

Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U (2012) Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 380:247–257. https://doi.org/10.1016/S0140-6736(12)60646-1CrossRefPubMed

Helmerhorst HJF, Brage S, Warren J, Besson H, Ekelund U (2012) A systematic review of reliability and objective criterion-related validity of physical activity questionnaires. Int J Behav Nutr Phys Act 9:103. https://doi.org/10.1186/1479-5868-9-103CrossRefPubMedPubMedCentral

Hupin D, Roche F, Gremeaux V, Chatard J-C, Oriol M, Gaspoz J-M, Barthélémy J-C, Edouard P (2015) Even a low-dose of moderate-to-vigorous physical activity reduces mortality by 22% in adults aged ≥60 years: a systematic review and meta-analysis. Br J Sports Med 49:1262–1267. https://doi.org/10.1136/bjsports-2014-094306CrossRefPubMed

IPAQ (2005) IPAQ scoring protocol. IPAQ — International Physical Activity Questionnaire https://sites.google.com/site/theipaq/scoring-protocol.

Joseph RP, Keller C, Adams MA, Ainsworth BE (2016) Validity of two brief physical activity questionnaires with accelerometers among African American women. Prim Health Care Res Dev 17:265–276. https://doi.org/10.1017/S1463423615000390CrossRefPubMed

Joseph RP, Keller C, Adams MA, Ainsworth BE (2015) Print versus a culturally-relevant Facebook and text message delivered intervention to promote physical activity in African American women: a randomized pilot trial. BMC Womens Health 15:30. https://doi.org/10.1186/s12905-015-0186-1CrossRefPubMedPubMedCentral

Kyu HH, Bachman VF, Alexander LT, Mumford JE, Afshin A, Estep K, Veerman JL, Delwiche K, Iannarone ML, Moyer ML, Cercy K, Vos T, Murray CJL, Forouzanfar MH (2016) Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events: systematic review and dose-response meta-analysis for the Global Burden of Disease Study 2013. BMJ 354:i3857. https://doi.org/10.1136/bmj.i3857CrossRefPubMedPubMedCentral

Migueles JH, Cadenas-Sanchez C, Ekelund U, Delisle Nyström C, Mora-Gonzalez J, Löf M, Labayen I, Ruiz JR, Ortega FB (2017) Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med 47:1821–1845. https://doi.org/10.1007/s40279-017-0716-0CrossRefPubMedPubMedCentral

Ogden CL, Fryar CD, Martin CB, Freedman DS, Carroll MD, Gu Q, Hales CM (2020) Trends in obesity prevalence by race and Hispanic origin—1999–2000 to 2017–2018. JAMA 324:1208–1210. https://doi.org/10.1001/jama.2020.14590CrossRefPubMedPubMedCentral

Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, Tremblay M (2008) A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act 5:56. https://doi.org/10.1186/1479-5868-5-56CrossRefPubMedPubMedCentral

Rääsk T, Mäestu J, Lätt E, Jürimäe J, Jürimäe T, Vainik U, Konstabel K (2017) Comparison of IPAQ-SF and two other physical activity questionnaires with accelerometer in adolescent boys. PLoS One 12:e0169527. https://doi.org/10.1371/journal.pone.0169527CrossRefPubMedPubMedCentral

Rhodes RE, Mark RS, Temmel CP (2012) Adult sedentary behavior: a systematic review. Am J Prev Med 42:e3–e28. https://doi.org/10.1016/j.amepre.2011.10.020CrossRefPubMed

Silfee VJ, Haughton CF, Jake-Schoffman DE, Lopez-Cepero A, May CN, Sreedhara M, Rosal MC, Lemon SC (2018) Objective measurement of physical activity outcomes in lifestyle interventions among adults: a systematic review. Prev Med Rep 11:74. https://doi.org/10.1016/j.pmedr.2018.05.003CrossRefPubMedPubMedCentral

Sloane R, Snyder DC, Demark-Wahnefried W, Lobach D, Kraus WE (2009) Comparing the 7-day PAR with a Triaxial accelerometer for measuring time in exercise. Med Sci Sports Exerc 41:1334–1340. https://doi.org/10.1249/MSS.0b013e3181984fa8CrossRefPubMedPubMedCentral

Slootmaker SM, Schuit AJ, Chinapaw MJ, Seidell JC, van Mechelen W (2009) Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status. Int J Behav Nutr Phys Act 6:17. https://doi.org/10.1186/1479-5868-6-17CrossRefPubMedPubMedCentral

Smitherman TA, Dubbert PM, Grothe KB, Sung JH, Kendzor DE, Reis JP, Ainsworth BE, Newton RL, Lesniak KT, Taylor HA (2009) Validation of the Jackson Heart Study physical activity survey in African Americans. J Phys Act Health 6(Suppl 1):S124–S132. https://doi.org/10.1123/jpah.6.s1.s124CrossRefPubMed

Sylvia LG, Bernstein EE, Hubbard JL, Keating L, Anderson EJ (2014) A practical guide to measuring physical activity. J Acad Nutr Diet 114:199. https://doi.org/10.1016/j.jand.2013.09.018CrossRefPubMed

Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M (2008) Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 40:181–188CrossRefPubMed

Trumpeter NN, Lawman HG, Wilson DK, Pate RR, Van Horn ML, Tate AK (2012) Accelerometry cut points for physical activity in underserved African Americans. Int J Behav Nutr Phys Act 9:73. https://doi.org/10.1186/1479-5868-9-73CrossRefPubMedPubMedCentral

Turner-McGrievy G, Wilcox S, Frongillo EA, Murphy A, Hutto B, Williams K, Crimarco A, Wilson M, Davey M (2020) The Nutritious Eating with Soul (NEW Soul) Study: Study design and methods of a two-year randomized trial comparing culturally adapted soul food vegan vs. omnivorous diets among African American adults at risk for heart disease. Contemp Clin Trials 88:105897. https://doi.org/10.1016/j.cct.2019.105897CrossRefPubMed

Warner ET, Wolin KY, Duncan DT, Heil DP, Askew S, Bennett GG (2012) Differential accuracy of physical activity self-report by weight status. Am J Health Behav 36:168–178. https://doi.org/10.5993/AJHB.36.2.3CrossRefPubMedPubMedCentral

Welk GJ, Kim Y, Stanfill B, Osthus DA, Calabro AM, Nusser SM, Carriquiry A (2014) Validity of 24-h physical activity recall: physical activity measurement survey. Med Sci Sports Exerc 46:2014–2024. https://doi.org/10.1249/MSS.0000000000000314CrossRefPubMedPubMedCentral

Whitfield GP (2019) Trends in meeting physical activity guidelines among urban and rural dwelling adults — United States, 2008–2017. MMWR Morb Mortal Wkly Rep 68(23):513–518. https://doi.org/10.15585/mmwr.mm6823a1

Wolin KY, Heil DP, Askew S, Matthews CE, Bennett GG (2008) Validation of the International Physical Activity Questionnaire–short among blacks. J Phys Act Health 5:746–760CrossRefPubMedPubMedCentral

Title: Physical activity assessment in African Americans participating in a dietary weight-loss trial focused on soul food
Authors: John A. Bernhart
Gabrielle M. Turner-McGrievy
Sarah Eustis
Mary J. Wilson
Brent Hutto
Sara Wilcox
Publication date: 13-11-2021
Publisher: Springer Berlin Heidelberg
Published in: Journal of Public Health / Issue 8/2023
Print ISSN: 2198-1833
Electronic ISSN: 1613-2238
DOI: https://doi.org/10.1007/s10389-021-01666-z

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Physical activity assessment in African Americans participating in a dietary weight-loss trial focused on soul food

Abstract

Aim

Subject and methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Aim

Subject and methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 8/2023

Correction to: Accessing the invisible population of low-risk gamblers, issues with screening, testing and theory: a systematic review

Does a one-week health program promote well-being among caregiving parents? A quasiexperimental intervention study in Germany

Methods of analysing patterns of multimorbidity using network analysis: a scoping review.

Accessing the invisible population of low-risk gamblers, issues with screening, testing and theory: a systematic review

Unmet need for mental health care within the Dutch population: exploring the role of GP

Female genital mutilation: Nigerian Igbo men’s low acceptance of the practice