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Leisure but not household physical activities associates with metabolic syndrome in middle-aged and older individuals: a cross-sectional study

  • Tania Paschoalino
  • Ricardo B. Oliveira
  • Juliana P. Borges
  • Paulo FarinattiEmail author
Original Article
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Abstract

Metabolic syndrome (MS) increases risk of diabetes. Physical activity (PA) is acknowledged to prevent MS, but a few studies in developing countries investigated the relationship between spontaneous PA and MS in older populations. To investigate the association between household and leisure physical activities vs. MS in a cohort of individuals older than 50 years, dwelling in the metropolitan area of Rio de Janeiro (RJ), southeastern Brazil. In 225 individuals aged 51–91 years (62 ± 9 years), MS and related risk factors were assessed through anthropometric measurements, blood pressure, and biochemical analyses, while habitual PA was classified using the Modified Baecke Questionnaire. MS was diagnosed in 64% of the participants. Multivariate logistic regression showed that low levels of household activities discriminated patients with higher blood glucose, obesity, and diabetes mellitus, but were not associated with the risk of having MS. Conversely, leisure PA not only discriminated individual risk factors (total cholesterol, triglycerides, and abdominal circumference), but also associated with MS. Patients declaring not having performed leisure PA within the last year had 2.5 higher risk of exhibiting MS [95% CI (1.22–5.34)], after adjustments for age, body mass index, VLDL, and household PA. Leisure but not household PA is associated with the risk of having MS in an urban population of Brazilian middle-aged and elder individuals. These findings suggest that tasks usually performed at home would not be of sufficient intensity/volume to prevent MS in this population.

Keywords

Logistic models Cardiovascular diseases Aging Adult health Baecke Questionnaire 

Notes

Funding information

This study was partially supported by grants from the Brazilian Council for Technological and Research Development (CNPq, 309012/2010-4) and Carlos Chagas Foundation for the Research Support in Rio de Janeiro State (FAPERJ, E-26/110.184/2013).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Dominguez LJ, Barbagallo M. The cardiometabolic syndrome and sarcopenic obesity in older persons. J Cardiometab Syndr. 2007;2(3):183–9.CrossRefGoogle Scholar
  2. 2.
    Lopez Suarez A, Elvira Gonzalez J, Beltran Robles M, Alwakil M, Saucedo JM, Bascunana Quirell A, et al. Prevalence of obesity, diabetes, hypertension, hypercholesterolemia and metabolic syndrome in over 50-year-olds in Sanlucar de Barrameda, Spain. Rev Esp Cardiol. 2008;61(11):1150–8.CrossRefGoogle Scholar
  3. 3.
    Coelho CF, Burini RC. Atividade física para prevenção e tratamento das doenças crônicas não transmissíveis e da incapacidade funcional. Rev Nutr. 2009;22(6):937–46.CrossRefGoogle Scholar
  4. 4.
    Janssen I, Ross R. Vigorous intensity physical activity is related to the metabolic syndrome independent of the physical activity dose. Int J Epidemiol. 2012;41(4):1132–40.  https://doi.org/10.1093/ije/dys038.CrossRefGoogle Scholar
  5. 5.
    Churilla JR, Fitzhugh EC. Total physical activity volume, physical activity intensity, and metabolic syndrome: 1999-2004 National Health and Nutrition Examination Survey. Metab Syndr Relat Disord. 2012;10(1):70–6.  https://doi.org/10.1089/met.2011.0057.CrossRefGoogle Scholar
  6. 6.
    Stensvold D, Nauman J, Nilsen TI, Wisloff U, Slordahl SA, Vatten L. Even low level of physical activity is associated with reduced mortality among people with metabolic syndrome, a population based study (the HUNT 2 study, Norway). BMC Med. 2011;9:109.  https://doi.org/10.1186/1741-7015-9-109.CrossRefGoogle Scholar
  7. 7.
    World Health Organization. Global recommendations on physical activity for health. Geneva: WHO; 2010.Google Scholar
  8. 8.
    Sociedade Brasileira de Cardiologia. Atlas Corações do Brasil. São Paulo: Sociedade Brasileira de Cardiologia; 2005.Google Scholar
  9. 9.
    Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde Secretaria de Atenção à Saúde. Instituto Nacional de Câncer. Coordenação de Prevenção e Vigilância. Inquérito domiciliar sobre comportamentos de risco e morbidade referida de doenças e agravos não transmissíveis: Brasil, 15 capitais e Distrito Federal, 2002–2003. Rio de Janeiro: INCA; 2004.Google Scholar
  10. 10.
    Wu S, Fisher-Hoch SP, Reininger B, McCormick JB. Recommended levels of physical activity are associated with reduced risk of the metabolic syndrome in Mexican-Americans. PLoS One. 2016;11(4):e0152896.  https://doi.org/10.1371/journal.pone.0152896.CrossRefGoogle Scholar
  11. 11.
    Ramos JS, Dalleck LC, Borrani F, Mallard AR, Clark B, Keating SE, et al. The effect of different volumes of high-intensity interval training on proinsulin in participants with the metabolic syndrome: a randomised trial. Diabetologia. 2016;59(11):2308–20.  https://doi.org/10.1007/s00125-016-4064-7.CrossRefGoogle Scholar
  12. 12.
    Kang SJ, Kim EH, Ko KJ. Effects of aerobic exercise on the resting heart rate, physical fitness, and arterial stiffness of female patients with metabolic syndrome. J Phys Ther Sci. 2016;28(6):1764–8.  https://doi.org/10.1589/jpts.28.1764.CrossRefGoogle Scholar
  13. 13.
    Madsen SM, Thorup AC, Overgaard K, Bjerre M, Jeppesen PB. Functional and structural vascular adaptations following 8 weeks of low volume high intensity interval training in lower leg of type 2 diabetes patients and individuals at high risk of metabolic syndrome. Arch Physiol Biochem. 2015;121(5):178–86.  https://doi.org/10.3109/13813455.2015.1087033.CrossRefGoogle Scholar
  14. 14.
    Dalacorte RR, Reichert CL, Vieira JL. Metabolic syndrome and physical activity in southern Brazilian community-dwelling elders: a population-based, cross-sectional study. BMC Public Health. 2009;9:25.  https://doi.org/10.1186/1471-2458-9-25.CrossRefGoogle Scholar
  15. 15.
    Doro AR, Gimen SGA, Hirai AT, Franco LJ, Ferreira SRG. Analysis on the association of physical activity with metabolic syndrome in a population-based study of Japanese-Brazilians. Arq Bras Endocrinol Metab. 2006;50(6):1066–74.CrossRefGoogle Scholar
  16. 16.
    Turi BC, Codogno JS, Fernandes RA, Monteiro HL. Low levels of physical activity and metabolic syndrome: cross-sectional study in the Brazilian public health system. Ciência & Saúde Coletiva. 2016;21(4):1043–50.  https://doi.org/10.1590/1413-81232015214.23042015.CrossRefGoogle Scholar
  17. 17.
    Rocha FL, Melo RLP, Menezes TN. Factors associated with metabolic syndrome among the elderly in the northeast of Brazil. Revista Brasileira de Geriatria e Gerontologia. 2016;19(6):978–86.  https://doi.org/10.1590/1981-22562016019.160046.CrossRefGoogle Scholar
  18. 18.
    Expert Panel on Detection E, Treatment of High Blood Cholesterol in A. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA. 2001;285(19):2486–97.CrossRefGoogle Scholar
  19. 19.
    Kunst A, Drager B, Ziegenhorn J. UV methods with hexokinase and glucose-6-phosphate dehydrogenase. Methods of Enzymatic Anal. Deerfield: Ed. Verlag Chmie.; 1983.Google Scholar
  20. 20.
    Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18(6):499–502.Google Scholar
  21. 21.
    Voorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. Med Sci Sports Exerc. 1991;23(8):974–9.CrossRefGoogle Scholar
  22. 22.
    Hertogh EM, Monninkhof EM, Schouten EG, Peeters PH, Schuit AJ. Validity of the modified Baecke questionnaire: comparison with energy expenditure according to the doubly labeled water method. Int J Behav Nutr Phys Act. 2008;5:30.  https://doi.org/10.1186/1479-5868-5-30.CrossRefGoogle Scholar
  23. 23.
    Goedecke JH, Micklesfield LK. The effect of exercise on obesity, body fat distribution and risk for type 2 diabetes. Med Sport Sci. 2014;60:82–93.  https://doi.org/10.1159/000357338. CrossRefGoogle Scholar
  24. 24.
    Meneton P, Lemogne C, Herquelot E, Bonenfant S, Larson MG, Vasan RS, et al. A global view of the relationships between the main behavioural and clinical cardiovascular risk factors in the GAZEL prospective cohort. PLoS One. 2016;11(9):e0162386.  https://doi.org/10.1371/journal.pone.0162386.CrossRefGoogle Scholar
  25. 25.
    Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT, et al. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219–29.  https://doi.org/10.1016/S0140-6736(12)61031-9.CrossRefGoogle Scholar
  26. 26.
    Li J, Siegrist J. Physical activity and risk of cardiovascular disease—a meta-analysis of prospective cohort studies. Int J Environ Res Public Health. 2012;9(2):391–407.  https://doi.org/10.3390/ijerph9020391.CrossRefGoogle Scholar
  27. 27.
    Moreira GC, Cipullo JP, Ciorlia LA, Cesarino CB, Vilela-Martin JF. Prevalence of metabolic syndrome: association with risk factors and cardiovascular complications in an urban population. PLoS One. 2014;9(9):e105056.  https://doi.org/10.1371/journal.pone.0105056.CrossRefGoogle Scholar
  28. 28.
    Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S. Association between physical activity and metabolic syndrome in middle-aged Japanese: a cross-sectional study. BMC Public Health. 2011;11:624.  https://doi.org/10.1186/1471-2458-11-624.CrossRefGoogle Scholar
  29. 29.
    Najafian J, Mohammadifard N, Naeini FF, Nouri F. Relation between usual daily walking time and metabolic syndrome. Niger Med J. 2014;55(1):29–33.  https://doi.org/10.4103/0300-1652.128156.CrossRefGoogle Scholar
  30. 30.
    Omech B, Tshikuka JG, Mwita JC, Tsima B, Nkomazana O, Amone-P'Olak K. Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program. Adult Treatment Panel III criteria in Botswana. Diabetes Metab Syndr Obes. 2016;9:273–9.  https://doi.org/10.2147/DMSO.S109007.CrossRefGoogle Scholar
  31. 31.
    Chakraborty SN, Roy SK, Rahaman MA. Epidemiological predictors of metabolic syndrome in urban West Bengal, India. J Family Med Prim Care. 2015;4(4):535–8.  https://doi.org/10.4103/2249-4863.174279.CrossRefGoogle Scholar
  32. 32.
    Johari SM, Shahar S. Metabolic syndrome: the association of obesity and unhealthy lifestyle among Malaysian elderly people. Arch Gerontol Geriatr. 2014;59(2):360–6.  https://doi.org/10.1016/j.archger.2014.04.003.CrossRefGoogle Scholar
  33. 33.
    Firdaus M. Prevention and treatment of the metabolic syndrome in the elderly. J Okla State Med Assoc. 2005;98(2):63–6.Google Scholar
  34. 34.
    He D, Xi B, Xue J, Huai P, Zhang M, Li J. Association between leisure time physical activity and metabolic syndrome: a meta-analysis of prospective cohort studies. Endocrine. 2014;46(2):231–40.  https://doi.org/10.1007/s12020-013-0110-0.CrossRefGoogle Scholar
  35. 35.
    Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011;43:1334–59.  https://doi.org/10.1249/MSS.0b013e318213fefb. CrossRefGoogle Scholar
  36. 36.
    Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, et al. 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc 2011; 43: 1575–1581.  https://doi.org/10.1249/MSS.0b013e31821ece12.
  37. 37.
    Chu AH, Moy FM. Associations of occupational, transportation, household and leisure-time physical activity patterns with metabolic risk factors among middle-aged adults in a middle-income country. Prev Med. 2013;57(Suppl):S14–7.  https://doi.org/10.1016/j.ypmed.2012.12.011.CrossRefGoogle Scholar
  38. 38.
    Chen XR, Zhang J, Ding GQ, Dong Z, Zhang XW, Li JH, et al. Negative association of domestic activity and active commuting with metabolic syndrome in a Chinese population aged 35-64 years. Biomed Environ Sci. 2015;28(7):486–94.  https://doi.org/10.3967/bes2015.070. Google Scholar
  39. 39.
    Sisson SB, Camhi SM, Church TS, Martin CK, Tudor-Locke C, Bouchard C, et al. Leisure time sedentary behavior, occupational/domestic physical activity, and metabolic syndrome in U.S. men and women. Metab Syndr Relat Disord. 2009;7(6):529–36.  https://doi.org/10.1089/met.2009.0023.CrossRefGoogle Scholar
  40. 40.
    Hallal PC, Matsudo SM, Matsudo VKR, Araújo TL, Andrade DR, Bertoldi AD. Physical activity in adults from two Brazilian areas: similarities and differences. Cad Saúde Pública. 2005;21(2):573–80.CrossRefGoogle Scholar
  41. 41.
    Siqueira FV, Facchine LA, Piccini RX, Elaine T, Elaine T, Denise SS, et al. Physical activity in young adults and the elderly in areas covered by primary health care units in municipalities in the South and Northeast of Brazil. Cad Saúde Pública. 2008;24(1):39–54.CrossRefGoogle Scholar
  42. 42.
    Azevedo MR, Araujo CL, Reichert FF, Siqueira FV, da Silva MC, Hallal PC. Gender differences in leisure-time physical activity. Int J Public Health. 2007;52(1):8–15.CrossRefGoogle Scholar

Copyright information

© Research Society for Study of Diabetes in India 2018

Authors and Affiliations

  1. 1.Graduate Program in Physical Activity SciencesSalgado de Oliveira University (UNIVERSO)NiteróiBrazil
  2. 2.Laboratory of Physical Activity and Health Promotion (LABSAU), Institute of Physical Education and SportsUniversity of Rio de Janeiro State (UERJ)Rio de JaneiroBrazil
  3. 3.Graduate Program in Exercise and Sports SciencesUniversity of Rio de Janeiro StateRio de JaneiroBrazil

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