Journal of Physical Activity Research
ISSN (Print): 2574-4437 ISSN (Online): 2574-4437 Website: http://www.sciepub.com/journal/jpar Editor-in-chief: Peter Hart
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Journal of Physical Activity Research. 2018, 3(1), 41-46
DOI: 10.12691/jpar-3-1-7
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The University Faculty Physical Activity Inventory (UFPAI): A Preliminary Assessment of Physical Activity among Faculty at a Private University

Kristianna M. Altamirano1, , Brent M. Peterson1, Kelsey L. Miller1 and Jacob K. Gardner1

1Department of Kinesiology and Health Science, Biola University, La Mirada, USA

Pub. Date: May 22, 2018

Cite this paper:
Kristianna M. Altamirano, Brent M. Peterson, Kelsey L. Miller and Jacob K. Gardner. The University Faculty Physical Activity Inventory (UFPAI): A Preliminary Assessment of Physical Activity among Faculty at a Private University. Journal of Physical Activity Research. 2018; 3(1):41-46. doi: 10.12691/jpar-3-1-7

Abstract

Physical activity (PA) is decreasing, with the work environment being particularly influential on reduction in PA. However, physically active lifestyles meeting or exceeding 150 minutes/week have been linked to reductions in multiple deleterious chronic health conditions. University educators are inundated with University work as well as promotional challenges that may act as barriers to achieving recommended daily levels of PA. Currently, very few research studies have evaluated PA among University faculty. Thus, the purpose of this exploratory investigation was to evaluate self-reported levels of PA among faculty members at Biola University. Eligible survey respondents (N = 138) were men (n = 72, 48.7 ± 11.7 years of age, 179.3 ± 8.5 centimeters in height, 86.3 ± 16.1 kilograms in weight, and an average body mass index (BMI) of 26.8 ± 4.6 kg/m2) and women (n = 66, 44.8 ± 11.7 years of age, 166.2 ± 8.2 centimeters in height, 69.3 ± 13.2 kilograms in weight, and an average body mass index (BMI) of 25.1 ± 4.8 kg/m2) faculty members from Biola University. Participants completed the International Physical Activity Questionnaire (IPAQ), using the SurveyMonkey® platform. Total daily sitting time and metabolic equivalent (MET) minute activity-specific (leisure, household, occupational, and transport) were calculated. One way ANOVAs revealed significant (p = 0.02) main effects for job title and total minutes of PA per week. The post-hoc analysis revealed that adjuncts were significantly more physically active than full professors. Although the only statistically significant differences were between adjuncts and full professors, we observed a downward trend in median physical activity. Independent measures t-tests revealed a significant (p = 0.004) difference between men and women for total minutes of PA per week. Women were significantly more physically active than men. Only 5.1% of faculty reported below 150 min of cumulative PA within a week. Total median PA for faculty was 3,133.5 MET*min/week. 52.9% of faculty reported a high categorical score above 3,000.0 MET*min/week of activity with a median of 4,757.0 MET*min/week. Of the four domains, leisure activity had the greatest median at 1,169.5 MET*min/week and active transport had the least at 462.0 MET*min/week. Faculty surveyed in this study exceeded the ACSM minimum weekly recommendations for PA and lower faculty ranks were the most active.

Keywords:
active lifestyle academia walking leisure activity template

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Troiano, RP, Berrigan, D, Dodd, KW, et al. Physical activity in the united states measured by accelerometer. Med Sci Sports Exerc.2008; 40(1), 181-188.
 
[2]  Conn, VS, Hafdahl, AR, Mehr, DR. Interventions to increase physical activity among healthy adults: meta-analysis of outcomes. Am J Public Health. 2011; 101(4), 751-758.
 
[3]  Humphreys, BR, McLeod, L, Ruseski, JE. Physical activity and health outcomes: evidence from canada. Health Econ. 2014; 23(1), 33-54.
 
[4]  Martinez-Gomez, D, Guallar-Castillon, P, Garcia-Esquina, E, et al. Physical activity and the effect of multimorbidity on all-cause mortality in older adults. Mayo Clin Proc. 2017; 92(3), 376-382.
 
[5]  Miyauchi, M, Toyoda, M, Kaneyama, N, et al. Exercise therapy for management of type 2 diabetes mellitus: superior efficacy of activity monitors over pedometers. J Diabetes Res. 2016; ID:5043964, 1-7.
 
[6]  Riebe, D, Franklin, BA, Thompson, PD, et al. Updating acsm’s recommendations for exercise pre-participation health screening. Med Sci Sports Exerc. 2015; 47(8), 2473-2479.
 
[7]  Kohl, HW, Craig, CL, Lambert, EV, et al. The pandemic of physical activity: global action for public health. Lancet. 2012; 380(9838), 294-305.
 
[8]  Piggin, J, Bairner, A. The global physical inactivity pandemic: an analysis of knowledge production. Sport, Educ Soc. 2016; 21(2), 131-147.
 
[9]  Ding, D, Lawson, KD, Kolbe-Alexander, TL, et al. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016; 388(10051), 1311-1324.
 
[10]  Kraus, WE, Bittner, V, Appel, L, et al. The national physical activity plan: a call to action from the american heart association. Circulation.2015; 131(21), 1932-1940.
 
[11]  Craig, CL, Marshall, AL, Sjöström, M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003; 35(8), 1318-1395.
 
[12]  Watson, KB, Dai, S, Paul, P, et al. The attributable proportion of specific leisure-time physical activities to total leisure activity volume among us adults, national health and nutrition examination survey 1999-2006. J Phys Act Health. 2016; 13(11), 1192-1201.
 
[13]  Healthy People 2020 [Internet]. Washington, DC: U.S. Department of Health and Human Services, Office of Disease Prevention and Health Promotion [cited [2018 Feb]]. Available from: [https://www.healthypeople.gov/2020/topics-objectives/topic/physical-activity].
 
[14]  Bale, JM, Gazmararian, JA, Elon, L. Effect of the work environment on using time at work to exercise. Am J Health Promot. 2015; 29(6), 345-352.
 
[15]  Droomers, M, Schrijvers, C, Mackenbach, J. Educational level and decreases in leisure time physical activity: predictors from the longitudinal GLOBE study. J Epidemiol Community Health. 2001; 55(8), 562-568. PMID: 11449013.
 
[16]  Gray, PM, Murphy, MH, Gallagher, AM, et al. Motives and barriers to physical activity among older adults of different socioeconomic status. J Aging Phys Act. 2016; 24(3), 419-429.
 
[17]  Manini, TM, Carr, LJ, King, AC, et al. Interventions to reduce sedentary behavior. Med Sci Sports Exerc. 2015; 47(6), 1306-1310.
 
[18]  Vndelanotte, C, Short, C, Rockloff, M, et al. How do different occupational factors influence total, occupational, and leisure-time physical activity? J Phys Act Health. 2015; 12(2), 200-207.
 
[19]  Shaw, BA, Spokane, LS. Examining the association between education level and physical activity changes during early old age. J Aging Health. 2008; 20(7), 767-787.
 
[20]  Kirk, MA, Rhodes, RE. Physical activity status of academic professors during their early career transition: an application of the theory of planned behavior. Psychol Health Med. 2012; 17(5), 551-564.
 
[21]  Sparling, PB. College physical education: an unrecognized agent of change in combatting inactivity-related diseases. Perspect Biol Med. 2003; 46(4), 579-587.
 
[22]  Champion, V. L., & Skinner, C. S. (2008). The Health Belief Model. In: Glanz K, Rimer BK, Viswanath K, eds. Health Behavior and Health Education. Theory, Research, and Practice. In (4th ed., pp. 45-65). San Francisco, CA: John Wiley and Sons, Inc.
 
[23]  IPAQ Group. Guidelines for data processing and analysis of the international physical activity questionnaire: Short and long forms. [Internet]. The Group; 2005 [cited 2018 Feb]. Available from: https://www.researchgate.net/file.PostFileLoader.html?id=5641f4c36143250eac8b45b7&assetKey=AS%3A294237418606593%401447163075131.
 
[24]  Ainsworth, BE, Haskell, WL, Hermann, SD et al. 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011; 43(8), 1575-1581.
 
[25]  Heyward, VH, Gibson, AL. Advanced fitness assessment and exercise prescription (7th Ed.). Champaign, IL: Human Kinetics.
 
[26]  Cairney, J, Veldhuizen, S, Kwan, M, et al. Biological age and sex-related declines in physical activity during adolescence. Med Sci Sports Exerc. 2014; 46(4), 730-735.
 
[27]  Dumith, SC, Gigante, DP, Domingues, MR, et al. Physical activity change during adolescence: a systematic review and pooled analysis. Int J Epedimiol. 2011; 40(3), 685-698.
 
[28]  Kwan, MY, Cairney, J, Faulkner, GE, et al. Physical activity and other health-risk behaviors during the transition into early adulthood: a longitudinal cohort study. Am J Prev Med. 2012; 42(1), 14-20.
 
[29]  Gorden-Larsen, P, Nelson, MC, Popkin, BM. Longitudinal physical activity and sedentary behavior trends: adolescence to adulthood. Am J Prev Med. 2004; 27(4), 277-283.
 
[30]  Sallis, JF. Age-related decline in physical activity: a synthesis of human and animal studies. Med Sci Sports Exerc. 2000; 32(9), 1598-1600. PMID: 10994911.
 
[31]  Wipple, K, Kinney, J, Kattenbraker, M. Maintenance of physical activity among faculty and staff in university settings. Health Educ. 2008; 40(1), 21-28. ERICID: EJ863506.
 
[32]  Bot, SD, Mackenbach, JD, Nijpels, G, et al. Association between social network characteristics and lifestyle behaviours in adults at risk of diabetes and cardiovascular disease. PLOS-One. 2016; 11(10), 1-14.
 
[33]  Bauman, A, Ainsworth, BE, Bull, F, et al. Progress and pitfalls in the use of the international physical activity questionnaire (IPAQ) for adult physical activity surveillance. J Phys Act Health. 2009; 6(Suppl 1.), S5-S8.
 
[34]  Adams, SA, Matthews, CE, Ebbeling, CB, et al. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol. 2005; 161(4), 389-398.
 
[35]  Neil-Sztramko, SE, Ghayyur, A, Edwards, J, et al. Physical activity levels of physiotherapists across practice settings: a cross-sectional comparison using self-report questionnaire and accelerometer measures. Physiother Can. 2017; 69(2), 152-160.