The physical activity level and aerobic capacity estimation (VO2max) among the administrative staff of the Pars Special Economic Energy Zone (Assaluyeh, Iran) with different BMIs

Mohammad Rafatifard; Seyed Saeed Mazloomy Mahmoodabad; Hossein Fallahzadeh

doi:10.1515/hmbci-2018-0080

Artikel

The physical activity level and aerobic capacity estimation (VO_2max) among the administrative staff of the Pars Special Economic Energy Zone (Assaluyeh, Iran) with different BMIs

Mohammad Rafatifard , Seyed Saeed Mazloomy Mahmoodabad und Hossein Fallahzadeh

Veröffentlicht/Copyright: 24. April 2019

Veröffentlicht von

Veröffentlichen auch Sie bei De Gruyter Brill

Manuskript einreichen Informationen für Autor*innen

Aus der Zeitschrift Hormone Molecular Biology and Clinical Investigation Band 38 Heft 3

Abstract

Background

The purpose of this study was to examine the level of physical activity (PA) and maximal aerobic capacity (VO_2max) among office workers of the Pars Special Economic Energy Zone in Iran with different body mass indexes (BMIs).

Materials and methods

This research was descriptive, and a correlation of variables was applied as its execution method. Administrative staff of two centers were randomly selected from 20 to 30 administrative centers of the Pars Special Economic Energy Zone, Assaluyeh, Iran, and included 294 male employees who were willing to participate in this research and who met the inclusion criteria (being in the age range of 20–60 years, lacking specific diseases, and who had enough physical fitness to do PA) who were purposefully selected.

Results

The age-adjusted means for the PA score (7.93 ± 1.12) and VO_2max (48.66 ± 6.95) mL/min/kg were calculated. After adjusting for other variables, significant difference was found between BMI and age (β = 0.20; p = 0.005), BMI and VO_2max (β = 0.302; p = 0.001), as well as BMI and the total PA score (β = −0.304; p = 0.045).

Conclusions

The results of this study showed low levels of PA (work, exercise and leisure) and respiratory capacity in the administrative staff of the oil and gas industry, which is associated with overweight and obesity.

Keywords: BMI and administrative staffs; physical activity; VO2max

Acknowledgement

The data used in this manuscript are related to a PhD research thesis in Yazd University of Medical Sciences. In addition, the authors of the study are grateful to the Research and Technology Unit staffs, the Sports Affairs Department of the Special Economic Energy Zone of Pars, Assaluyeh, Iran, as well as participants of this research.

Author Statement
Research funding: This research was conducted with the financial and spiritual support of the Research and Technology Unit of Pars Special Economic Energy Organization and Yazd Shahid Sadoughi University of Medical Sciences (with the memorandum number of 94/94592).
Conflict of interest: None declared.
Informed consent: Participants provided written informed consent.
Ethical approval: Ethical considerations in this study included obtaining approval of the Ethics Committee of Yazd Shahid Sadoughi University of Medical Sciences (code: 95906 on 12 February, 2015) to conduct the study protocol. Furthermore, the participants were required to sign the informed consent forms and were ensured about the confidentiality of their information.

References

[1] Pronk NP. Physical activity promotion in business and industry: evidence, context, and recommendations for a national plan. J Phys Act Health. 2009;6:S220–35.10.1123/jpah.6.s2.s220Suche in Google Scholar PubMed

[2] Gao Z. Technology in Physical Activity and Health Promotion. New York: Routledge; 2017. p. 26–30.10.4324/9781315526171-2Suche in Google Scholar

[3] Gates DM, Succop P, Brehm BJ, Gillespie GL, Sommers BD. Obesity and presenteeism: the impact of body mass index on workplace productivity. J Occup Environ Med. 2008;50:39–45.10.1097/JOM.0b013e31815d8db2Suche in Google Scholar PubMed

[4] Degliesposti E, Sturani A, Valpiani G, Di Martino M, Ziccard IF, Cassani AR, et al. The relationship between body weight and drug costs: an Italian population-based study. Clin Ther. 2006;28:1472–81.10.1016/j.clinthera.2006.09.016Suche in Google Scholar PubMed

[5] Han E, Norton EC, Stearns SC. Weight and wages: fat versus lean paychecks. Health Econ. 2009;18:535–48.10.1002/hec.1386Suche in Google Scholar PubMed

[6] Banks E, Jorm L, Rogers K, Clements M, Bauman A. Screen-time, obesity, ageing and disability: findings from 91 266 participants in the 45 and Up Study. Public Health Nutr. 2011;14:34–43.10.1017/S1368980010000674Suche in Google Scholar PubMed

[7] Bhattacherjee A, Chau N, Sierra CO, Legras B, Benamghar L, Michaely J-P, et al. Relationships of job and some individual characteristics to occupational injuries in employed people: a community-based study. J Occup Health. 2003;45:382–91.10.1539/joh.45.382Suche in Google Scholar PubMed

[8] Tunceli K, Li K, Williams L. Long-term effects of obesity on employment and work limitations among US adults, 1986 to 1999. Obesity. 2006;14:1637–46.10.1038/oby.2006.188Suche in Google Scholar PubMed

[9] Chau N, Mur J-M, Touron C, Benamghar L, Dehaene D. Correlates of occupational injuries for various jobs in railway workers: a case-control study. J Occup Health. 2004;46:272–80.10.1539/joh.46.272Suche in Google Scholar PubMed

[10] Ogden CL, Yanovski SZ, Carroll MD, Flegal KM. The epidemiology of obesity. Gastroenterology. 2007;132:2087–102.10.1053/j.gastro.2007.03.052Suche in Google Scholar PubMed

[11] Đorđević-Nikić M, Dopsaj M, Rakić S, Subošić D, Prebeg G, Macura M, et al. Morphological model of the population of working-age women in Belgrade measured using electrical multichannel bioimpedance model: pilot study. Fizička Kultura. 2013;67:103–12.10.5937/fizkul1302103DSuche in Google Scholar

[12] Addo PN, Nyarko KM, Sackey SO, Akweongo P, Sarfo B. Prevalence of obesity and overweight and associated factors among financial institution workers in Accra Metropolis, Ghana: a cross sectional study. BMC Res Notes. 2015;8:599.10.1186/s13104-015-1590-1Suche in Google Scholar PubMed PubMed Central

[13] Jusot F, Khlat M, Rochereau T, Serme C. Job loss from poor health, smoking and obesity: a national prospective survey in France. J Epidemiol Community Health. 2008;62:332–7.10.1136/jech.2007.060772Suche in Google Scholar PubMed PubMed Central

[14] World Health Organization. The SuRF report 2: surveillance of chronic disease risk factors. Geneva: World Health Organization. 2005. Retrieved July 22, 2018. http://www.who.int/iris/handle/10665/43190.Suche in Google Scholar

[15] World Health Organization. Obesity: preventing and managing the global epidemic. Geneva: World Health Organization; 2000.Suche in Google Scholar

[16] Salmon J, Bauman A, Crawford D, Timperio A, Owen N. The association between television viewing and overweight among Australian adults participating in varying levels of leisure-time physical activity. Int J Obes 2000;24:600–6.10.1038/sj.ijo.0801203Suche in Google Scholar PubMed

[17] Martins C, Morgan L, Truby H. A review of the effects of exercise on appetite regulation: an obesity perspective. Int J Obesity. 2008;32:1337–47.10.1038/ijo.2008.98Suche in Google Scholar PubMed

[18] Lafortuna C, Agosti F, Proietti M, Adorni F, Sartorio A. The combined effect of adiposity, fat distribution and age on cardiovascular risk factors and motor disability in a cohort of obese women (aged 18–83). J Endocrinol Invest. 2006;29:905–12.10.1007/BF03349195Suche in Google Scholar PubMed

[19] Delorey D, Wyrick B, Babb T. Mild-to-moderate obesity: implications for respiratory mechanics at rest and during exercise in young men. Int J Obes. 2005;29:103–47.10.1038/sj.ijo.0803003Suche in Google Scholar PubMed

[20] Salvadori A, Fanari P, Fontana M, Buontempi L, Saezza A, Baudo S, et al. Oxygen uptake and cardiac performance in obese and normal subjects during exercise. Respiration. 1999;66:25–33.10.1159/000029333Suche in Google Scholar PubMed

[21] Salvadori A, Fanari P, Mazza P, Agosti R, Longhini E. Work capacity and cardiopulmonary adaptation of the obese subject during exercise testing. Chest. 1992;101:674–9.10.1378/chest.101.3.674Suche in Google Scholar PubMed

[22] Przyby T, Owski PB, Kumor M, Hildebrand K, Maskey-warzechowska M, Korczynski P, et al. Exercise capacity in patients with obstructive sleep apnea syndrome. J Physiol Pharm. 2007;58:563–74.Suche in Google Scholar

[23] Salvadori A, Fanari P, Cavestri R, Mazza P, Baudo S, Longhini E. Relationship between body mass and tolerance to physical stress in obese patients. Respiration. 1991;58:311–5.10.1159/000195951Suche in Google Scholar PubMed

[24] Chen KY, Acra SA, Donahue CL, Sun M, Buchowski MS. Efficiency of walking and stepping: relationship to body fatness. Obesity. 2004;12:982–9.10.1038/oby.2004.120Suche in Google Scholar

[25] Cameron AJ, Welborn TA, Zimmet PZ, Dunstan DW, Owen N, Salmon J, et al. Overweight and obesity in Australia: the 1999–2000 Australian diabetes, obesity and lifestyle study (AusDiab). Med J Aust. 2003;178:427–32.10.5694/j.1326-5377.2003.tb05283.xSuche in Google Scholar PubMed

[26] Ching PL, Willett WC, Rimm EB, Colditz GA, Gortmaker SL, Stampfer MJ. Activity level and risk of overweight in male health professionals. Am J Public Health. 1996;86:25–30.10.2105/AJPH.86.1.25Suche in Google Scholar PubMed

[27] Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007;56:2655–67.10.2337/db07-0882Suche in Google Scholar PubMed

[28] Levine JA. Nonexercise activity thermogenesis – liberating the life-force. J Int Med. 2007;262:273–87.10.1111/j.1365-2796.2007.01842.xSuche in Google Scholar

[29] Bauman A, Allman-Farinelli M, Huxley R, James W. Leisure-time physical activity alone may not be a sufficient public health approach to prevent obesity – a focus on China. Obes Rev. 2008;9:119–26.10.1111/j.1467-789X.2007.00452.xSuche in Google Scholar PubMed

[30] Popkin BM. Urbanization, lifestyle changes and the nutrition transition. World Dev. 1999;27:1905–16.10.1016/S0305-750X(99)00094-7Suche in Google Scholar

[31] Reineh RT, Wabitsch MJ. Sinnvolle Diagnostik der Adipositas. Pädiatr Endokrinol Diabetol. 2009;18:245–58.10.1007/978-3-642-01912-8_18Suche in Google Scholar

[32] Despres J-P. Health consequences of visceral obesity. Ann Med. 2001;33:534–41.10.3109/07853890108995963Suche in Google Scholar PubMed

[33] Chen Y, Rennie D, Cormier YF, Dosman J. Waist circumference is associated with pulmonary function in normal-weight, overweight, and obese subjects. Am J Clin Nut. 2007;85:35–9.10.1093/ajcn/85.1.35Suche in Google Scholar PubMed

[34] Mchorney CA, Ware Jr JE, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care. 1994;32:40–66.10.1097/00005650-199401000-00004Suche in Google Scholar PubMed

[35] Stewart GW. Active living: the miracle medicine for a long and healthy life. Champaign, IL, Toronto: Human Kinetics, Canada; 1995. p. 64–8.Suche in Google Scholar

[36] Ghosh A, Ahuja A, Khanna G. Pulmonary capacities of different groups of sportsmen in India. Br J Sports Med. 1985;19:232–4.10.1136/bjsm.19.4.232Suche in Google Scholar PubMed PubMed Central

[37] Pelkonen M, Notkola I-L, Lakka T, Tukiainen HO, Kivinen P, Nissinen A. Delaying decline in pulmonary function with physical activity: a 25-year follow-up. Am J Respir Crit Care Med. 2003;168:494–9.10.1164/rccm.200208-954OCSuche in Google Scholar PubMed

[38] Womack CJ, Harris DL, Katzel LI, Hagberg JM, Bleecker ER, Goldberg AP. Weight loss, not aerobic exercise, improves pulmonary function in older obese men. J Gerontol A: Biol Sci Med Sci. 2000;55:M453–7.10.1093/gerona/55.8.M453Suche in Google Scholar PubMed

[39] Bandyopadhyay A. Cardiorespiratory fitness in obese girls. Indian J Physiol Pharmacol. 2013;56:393–5.Suche in Google Scholar

[40] Chatterjee S, Chatterjee P, Bandhopadhyay A. Cardiorespiratory fitness of obese boys. Indian J Physiol Pharmacol. 2005;49:353–7.Suche in Google Scholar PubMed

[41] Bandyopadhyay A, Chatterjee S. Body composition, morphological characteristics and their relationship with cardiorespiratory fitness. Ergonomics SA. 2003;15:19–27.Suche in Google Scholar

[42] Baum CL, Ford WF. The wage effects of obesity: a longitudinal study. Health Econ. 2004;13:885–99.10.1002/hec.881Suche in Google Scholar PubMed

[43] Setty P, Padmanabha B, Doddamani B. Correlation between obesity and cardio respiratory fitness. 2013, Int J Med Sci Public Health. 2013;2:300–4.10.5455/ijmsph.2013.2.298-302Suche in Google Scholar

[44] Welch B, Riendeau R, Crisp C, Isenstein R. Relationship of maximal oxygen consumption to various components of body composition. J Applied Physiol. 1958;12:395–8.10.1152/jappl.1958.12.3.395Suche in Google Scholar PubMed

[45] Ozcelik O, Aslan M, Ayar A, Kelestimur H. Effects of body mass index on maximal work production capacity and aerobic fitness during incremental exercise. Physiol Res 2004;53:165–28.10.33549/physiolres.930441Suche in Google Scholar PubMed

[46] Dong L, Block G, Mandel S. Activities contributing to total energy expenditure in the United States: results from the NHAPS Study. Int J Behav Nutr Phys Activity. 2004;1:4.10.1186/1479-5868-1-4Suche in Google Scholar PubMed PubMed Central

[47] Clark BK, Sugiyama T, Healy GN, Salmon J, Dunstan DW, Owen N. Validity and reliability of measures of television viewing time and other non-occupational sedentary behaviour of adults: a review. Obes Rev. 2009;10:7–16.10.1111/j.1467-789X.2008.00508.xSuche in Google Scholar PubMed

[48] Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. J Am Med Assoc. 2003;289:1785–91.10.1001/jama.289.14.1785Suche in Google Scholar PubMed

Received: 2018-12-05

Accepted: 2019-02-14

Published Online: 2019-04-24

Sie haben derzeit keinen Zugang zu diesem Inhalt.

Artikel in diesem Heft

https://doi.org/10.1515/hmbci-2018-0080

Schlagwörter für diesen Artikel

BMI and administrative staffs; physical activity; VO2max