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Risk factors for sedentary behavior in young adults: similarities in the inequalities

Published online by Cambridge University Press:  17 May 2010

F. S. Fernandes ,
A. K. Portella ,
M. A. Barbieri ,
H. Bettiol ,
A. A. M. Silva ,
M. Agranonik ,
P. P. Silveira  and
M. Z. Goldani
F. S. Fernandes
Affiliation:
Núcleo de Estudos da Saúde da Criança e do Adolescente, Hospital de Clínicas de Porto Alegre, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
A. K. Portella
Affiliation:
Núcleo de Estudos da Saúde da Criança e do Adolescente, Hospital de Clínicas de Porto Alegre, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
M. A. Barbieri
Affiliation:
Departamento de Pediatria, Faculdade de Medicina de Ribeirão Preto, São Paulo, SP, Brazil
H. Bettiol
Affiliation:
Departamento de Pediatria, Faculdade de Medicina de Ribeirão Preto, São Paulo, SP, Brazil
A. A. M. Silva
Affiliation:
Departamento de Saúde Pública, Universidade Federal do Maranhão, São Luis, Maranhão, Brazil
M. Agranonik
Affiliation:
Núcleo de Estudos da Saúde da Criança e do Adolescente, Hospital de Clínicas de Porto Alegre, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
P. P. Silveira*
Affiliation:
Núcleo de Estudos da Saúde da Criança e do Adolescente, Hospital de Clínicas de Porto Alegre, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
M. Z. Goldani
Affiliation:
Núcleo de Estudos da Saúde da Criança e do Adolescente, Hospital de Clínicas de Porto Alegre, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
*
Address for correspondence: P. P. Silveira, Departamento de Pediatria, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul Ramiro Barcelos, 2350 Largo Eduardo Zaccaro Faraco, 90035-903 Porto Alegre, Brazil. (Email [email protected])
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Abstract

Physical activity is a known protective factor, with benefits for both metabolic and psychological aspects of health. Our objective was to verify early and late determinants of physical activity in young adults. A total of 2063 individuals from a birth cohort in Ribeirão Preto, Brazil, were studied at the age of 23–25 years. Poisson regression was performed using three models: (1) early model considering birth weight, gestational age, maternal income, schooling and smoking; (2) late model considering individual’s gender, schooling, smoking and body mass index; and (3) combined (early + late) model. Physical activity was evaluated using the International Physical Activity Questionnaire, stratifying the individuals into active or sedentary. The general rate of sedentary behavior in the sample was 49.6%. In the early model, low birth weight (relative risk (RR) = 1.186, confidence interval (95%CI) 1.005–1.399) was a risk factor for sedentary activity. Female gender (RR = 1.379, 95%CI = 1.259–1.511) and poor schooling (RR = 1.126, 95%CI = 1.007–1.259) were associated with sedentary behavior in the late model. In the combined model, only female gender and participant’s schooling remained significant. An interaction between birth weight and individual’s schooling was found, in which sedentary behavior was more prevalent in individuals born with low birth weight only if they had higher educational levels. Variables of early development and social insertion in later life interact to determine an individual’s disposition to practice physical activities. This study may support the theoretical model ‘Similarities in the inequalities’, in which opposed perinatal backgrounds have the same impact over a health outcome in adulthood when facing unequal social achievement during the life-course.

Keywords

DOHaDmismatchphysical activityprogramming
Type
Original Articles
Information
Journal of Developmental Origins of Health and Disease , Volume 1 , Issue 4 , August 2010 , pp. 255 - 261
Copyright
Copyright © Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2010

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References

1.Hakimm, AA, Petrovitch, H, Burchfiel, CM, et al. Effects of walking on mortality among nonsmoking retired men. New Engl J Med. 1998; 338, 94–99.CrossRefGoogle Scholar
2.Lee, IM, Paffenbarger, RS Jr, Hennekens, CH. Physical activity, physical fitness and longevity. Aging (Milano). 1997; 9, 2–11.Google ScholarPubMed
3.Penedo, FJ, Dahn, JR. Exercise and well-being: a review of mental and physical health benefits associated with physical activity. Curr Opin Psychiatry. 2005; 18, 189–193.CrossRefGoogle ScholarPubMed
4.Green, DJ, Maiorana, A, O’Driscoll, G, Taylor, R. Effect of exercise training on endothelium-derived nitric oxide function in humans. J Physiol. 2004; 561, 1–25.CrossRefGoogle ScholarPubMed
5.Kraus, WE, Houmard, JA, Duscha, BD, et al. Effects of the amount and intensity of exercise on plasma lipoproteins. N Engl J Med. 2002; 347, 1483–1492.CrossRefGoogle ScholarPubMed
6.Horber, FF, Kohler, SA, Lippuner, K, Taeger, P. Effect of regular physical training on age associated alteration of body composition in men. Eur J Clin Invest. 1996; 26, 279–285.CrossRefGoogle ScholarPubMed
7.Bijnen, FC, Caspersen, CJ, Feskens, EJ, et al. Physical activity and 10-year mortality from cardiovascular diseases and all causes: the Zutphen Elderly Study. Arch Intern Med. 1998; 158, 1499–1505.CrossRefGoogle ScholarPubMed
8.Zimmerberg, B, Shartrand, AM. Temperature-dependent effects of maternal separation on growth, activity, and amphetamine sensitivity in the rat. Dev Psychobiol. 1992; 25, 213–226.CrossRefGoogle ScholarPubMed
9.Matthews, K, Hall, FS, Wilkinson, LS, Robbins, TW. Retarded acquisition and reduced expression of conditioned locomotor activity in adult rats following repeated early maternal separation: effects of prefeeding, d-amphetamine, dopamine antagonists and clonidine. Psychopharmacology (Berl). 1996; 126, 75–84.CrossRefGoogle ScholarPubMed
10.Hallal, PC, Wells, JC, Reichert, FF, Anselmi, L, Victora, CG. Early determinants of physical activity in adolescence: prospective birth cohort study. BMJ. 2006; 332, 1002–1007.CrossRefGoogle ScholarPubMed
11.Azevedo, MR, Horta, BL, Gigante, DP, Vitora, CG, Barros, FC. Fatores associados ao sedentarismo no lazer de adultos na coorte de nascimentos de 1982, Pelotas, RS. Rev Saúde Pública. 2008; 42, 70–77.CrossRefGoogle Scholar
12.Hanson, MD, Chen, E. Socioeconomic status and health behaviors in adolescence: a review of the literature. J Behav Med. 2007; 30, 263–285.CrossRefGoogle ScholarPubMed
13.Weir, LA, Etelson, D, Brand, DA. Parents’ perceptions of neighborhood safety and children’s physical activity. Prev Med. 2006; 43, 212–217.CrossRefGoogle ScholarPubMed
14.Molnar, BE, Gortmaker, SL, Bull, FC, Buka, SL. Unsafe to play? Neighborhood disorder and lack of safety predict reduced physical activity among urban children and adolescents. Am J Health Promot. 2004; 18, 378–386.CrossRefGoogle ScholarPubMed
15.Rahkonen, O, Laaksonen, M, Martikainen, P, Roos, E, Lahelma, E. Job control, job demands, or social class? The impact of working conditions on the relation between social class and health. J Epidemiol Community Health. 2006; 60, 50–54.CrossRefGoogle ScholarPubMed
16.Lee, C. Environment and active living: the roles of health risk and economic factors. Am J Health Promot. 2007; 21, 293–304.CrossRefGoogle ScholarPubMed
17.Silveira, PP, Portella, AK, Goldani, MZ. Obesity in Latin America: similarity in the inequalities. Lancet. 2005; 366, 451–452.CrossRefGoogle ScholarPubMed
18.Silva, AA, Barbieri, MA, Gomes, UA, Bettiol, H. Trends in low birth weight: a comparison of two birth cohorts separated by a 15-year interval in Ribeirão Preto, Brazil. Bull World Health Organ. 1998; 76, 73–84.Google ScholarPubMed
19.Oliveira, ZAR, Bettiol, H, Barbieri, MA, Gutierrez, MRP, Azenha, VM. Factors associated with infant and adolescence mortality. J Epidemiol Community Health. 2004; 58, A107–A108.Google Scholar
20.Barbieri, MA, Bettiol, H, Silva, AA. Health in early adulthood: the contribution of the 1978/79 Ribeirao Preto birth cohort. Braz J Med Biol Res. 2006; 39, 1041–1055.CrossRefGoogle ScholarPubMed
21.Goldani, MZ, Barbieri, MA, Silva, AA, Bettiol, H. Trends in prenatal care use and low birthweight in southeast Brazil. Am J Public Health. 2004; 94, 1366–1371.CrossRefGoogle ScholarPubMed
22. IPAQ. Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ) – Short and Long Forms. November 2005, Retrieved 29 April 2010 from http://www.ipaq.ki.se/scoring.pdf.Google Scholar
23.Kriska, MA, Caspersen, CJ. A collection of physical activity questionaires for health-related research. Med Sci Sport Exerc. 1997; 29, S5–S9b.CrossRefGoogle Scholar
24.Ainsworth, BE, Haskell, WL, Whitt, MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sport Exerc. 2000; 32, S498–S504.CrossRefGoogle ScholarPubMed
25.Barker, DJ. In utero programming of chronic disease. Clin Sci (Lond). 1998; 95, 115–128.CrossRefGoogle ScholarPubMed
26.Forsen, TJ, Eriksson, JG, Osmond, C, Barker, DJ. The infant growth of boys who later develop coronary heart disease. Ann Med. 2004; 36, 389–392.CrossRefGoogle ScholarPubMed
27.Forsen, T, Eriksson, J, Tuomilehto, J, et al. The fetal and childhood growth of persons who develop type 2 diabetes. Ann Intern Med. 2000; 133, 176–182.CrossRefGoogle ScholarPubMed
28.Soto, IN, Mericq, GV. Fetal growth restriction and insulin resistance. New findings and review of the literature. Rev Med Chil. 2005; 133, 97–104.Google Scholar
29.Barker, DJ, Martyn, CN, Osmond, C, Hales, CN, Fall, CH. Growth in utero and serum cholesterol concentrations in adult life. BMJ. 1993; 307, 1524–1527.CrossRefGoogle ScholarPubMed
30.Davies, AA, Smith, GD, Ben-Shlomo, Y, Litchfield, P. Low birth weight is associated with higher adult total cholesterol concentration in men: findings from an occupational cohort of 25,843 employees. Circulation. 2004; 110, 1258–1262.CrossRefGoogle Scholar
31.Laitinen, J, Pietilainen, K, Wadsworth, M, Sovio, U, Jarvelin, MR. Predictors of abdominal obesity among 31-y-old men and women born in Northern Finland in 1966. Eur J Clin Nutr. 2004; 58, 180–190.CrossRefGoogle ScholarPubMed
32.Barbieri, MA, Portella, AK, Silveira, PP, et al. Severe intrauterine growth restriction is associated with higher spontaneous carbohydrate intake in young women. Pediatr Res. 2009; 65, 215–220.CrossRefGoogle ScholarPubMed
33.Vickers, MH, Breier, BH, McCarthy, D, Gluckman, PD. Sedentary behavior during postnatal life is determined by the prenatal environment and exacerbated by postnatal hypercaloric nutrition. Am J Physiol Regul Integr Comp Physiol. 2003; 285, R271–R273.CrossRefGoogle ScholarPubMed
34.Martinez-Gonzalez, MA, Varo, JJ, Santos, JI, et al. Prevalence of physical activity during leisure time in the Europe Union. Med Sci Sports Exerc. 2001; 33, 1142–1146.CrossRefGoogle Scholar
35.Gomes, VB, Siqueira, KS, Sichieri, R. Atividade física em uma amostra probabilística da população do Município do Rio de Janeiro. Cad Saúde Pública. 2001; 17, 969–976.CrossRefGoogle ScholarPubMed
36.Costa, RS, Werneck, GL, Lopes, CS, Faerstein, E. Associação entre fatores sócio-demográficos e prática de atividade física de lazer no estudo Pró-Saúde. Cad Saúde Pública. 2003; 19, 1095–1105.CrossRefGoogle Scholar
37.O’Brien, M, Huston, AC. Activity level and sex-stereotyped toy choice in toddler boys and girls. J Genet Psychol. 1985; 146, 527–533.CrossRefGoogle ScholarPubMed
38.Chipperfield, JG, Newall, NE, Chuchmach, LP, Swift, AU, Haynes, TL. Differential determinants of men’s and women’s everyday physical activity in later life. J Gerontol B Psychol Sci Soc Sci. 2008; 63(4), S211–S218.CrossRefGoogle ScholarPubMed
39.Monteiro, CA, Conde, WL, Matsudo, SM, et al. A descriptive epidemiology of leisure-time physical activity in Brazil, 1996–1997. Rev Panam Salud Publica. 2003; 14, 246–254.CrossRefGoogle ScholarPubMed
40.Azevedo, MR, Araújo, CL, Reichert, FF, et al. Gender differences in leisure-time physical activity. Int J Public Health. 2007; 52, 8–15.CrossRefGoogle ScholarPubMed
41.Santos, R, Santos, MP, Ribeiro, JC, Mota, J. Physical activity and other lifestyle behaviors in a Portuguese sample of adults: results from the Azorean Physical Activity and Health Study. J Phys Act Health. 2009; 6, 750–759.CrossRefGoogle Scholar
42.Ceschini, FL, Andrade, DR, Oliveira, LC, Araújo Júnior, JF, Matsudo, VK. Prevalence of physical inactivity and associated factors among high school students from state’s public schools. J Pediatr (Rio J). 2009; 85, 301–306.CrossRefGoogle ScholarPubMed
43.Bauman, A, Bull, F, Chey, T, et al. The International Prevalence Study on Physical Activity: results from 20 countries. Int J Behav Nutr Phys Act. 2009; 6, 21.CrossRefGoogle ScholarPubMed
44.Zanovec, M, Johnson, LG, Marx, BD, Keenan, MJ, Tuuri, G. Self-reported physical activity improves prediction of body fatness in young adults. Med Sci Sports Exerc. 2009; 41, 328–335.CrossRefGoogle ScholarPubMed
45.Frank, L, Kerr, J, Saelens, B, et al. Food outlet visits, physical activity and body weight: variations by gender and race-ethnicity. Br J Sports Med. 2009; 43, 124–131.CrossRefGoogle ScholarPubMed
46.Bergman, P, Grjibovski, AM, Hagströmer, M, Bauman, A, Sjöström, M. Adherence to physical activity recommendations and the influence of socio-demographic correlates – a population-based cross-sectional study. BMC Public Health. 2008; 8, 367.CrossRefGoogle ScholarPubMed
47.Gluckman, PD, Hanson, MA. Living with the past: evolution, development, and patterns of disease. Science. 2004; 305, 1733–1736.CrossRefGoogle ScholarPubMed