Negative self-perceived health and associated factors in Physical Education academics
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Abstract
Introduction: The self-rated health has been used in epidemiological studies and represents a measure that indicates the status health overall. Objective: To identify the prevalence and factors associated with negative self-rated health in university students of a Physical Education course. Methods: Cross-sectional epidemiological study carried out with university students of a Physical Education course. The self-rated health was dependent variable and independent variables were gender, age range, marital status, college time, leisure-in-time physical activity, fruit/juice intake, vegetable/salad intake, alcohol consumption, body mass index, selfevaluation of time to relax and stress level. The Prevalence Ratios (PR), estimated by Poisson regression, were used in the crude and adjusted analyzes, with a significance level of 5%. Results: Participated 111 university students, with a mean age of 24.7 years. The prevalence of negative self-rated health was 10.1%. The negative perception of health was associated with the students that reported the irregular consumption of vegetables/salads (PR=9.59; 95%CI=1.64-55.96), that were body mass excess (PR=3.81; 95%CI=1.03-14.12), with negative self-evaluation of stress (PR=8.34; 95%CI=2.96-23.48) and with lower RP the students of higher age group (PR=0.17; 95%CI=0.03-0.82). Conclusion: The prevalence of negative self-rated health was lower and factors associated were related the foods, nutritional status and negative selfrated stress.
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Mendonça G, Farias Júnior JC. Percepção de saúde e fatores associados em adolescentes. Rev Bras Ativ Fis e Saúde. 2012;17(3):174-80. http://dx.doi.org/10.12820/rbafs.v.17n3p174-180
Reichert FF, Loch MR, Capilheira MF. Autopercepção de saúde em adolescentes, adultos e idosos. Ciênc Saúde Coletiva. 2012;17(12):3353-62. http://dx.doi.org/10.1590/S1413-81232012001200020
Sousa TF, Silva KS, Garcia LMT, Del Duca GF, Oliveira ESA, Nahas MV. Autoavaliação de saúde e fatores associados em adolescentes do estado de Santa Catarina, Brasil. Rev Paul Pediatr. 2010;28(4):333-9. http://dx.doi.org/10.1590/S0103-05822010000400008
Sousa TF, Fonseca SA, Barbosa AR. Regular and negative self-rated health in students from a public university from Northeastern, Brazil: prevalence and associated factors. Acta Sci. 2014;36(2):185-94. http://dx.doi.org/10.4025/actascihealthsci.v36i2.19171
Pavão ALB, Werneck GL, Campos MR. Autoavaliação do estado de saúde e a associação com fatores sociodemográficos, hábitos de vida e morbidade na população: um inquérito nacional. Cad Saúde Pública. 2013;29(4):723-34. http://dx.doi.org/10.1590/S0102-311X2013000400010
Freire LM, Dalamaria T, Cunha MA, Souza OF. Self-Rated Health in University Students from Rio Branco in the Western Brazilian Amazon. Health. 2014;6:2245-9. http://dx.doi.org/10.4236/health.2014.616260
El-Ansari W, Stock C. Gender Differences in Self-Rated Health among University Students in England, Wales and Northern Ireland: Do Confounding Variables Matter? Global J Health Sci. 2016;8(11):168-77. http://dx.doi.org/10.5539/gjhs.v8n11p168
Pengpid S, Peltzer K, Samuels TA, Gasparishvili A. Factors associated with self-rated health status among university students from 26 low, middle and high income countries. J Psychol Africa. 2015;25(5):448-53. http://dx.doi.org/10.1080/14330237.2015.1101274
Herman KM, Sabiston CM, Tremblay A, Paradis G. Self-Rated Health in Children at Risk for Obesity: Associations of Physical Activity, Sedentary Behavior, and BMI. J Phys Act Health. 2014;11(3):543-52. http://dx.doi.org/10.1123/jpah.2012-0124
Mikolajczyk, RT, Brzoska, P, Maier C, Ottova V, Meier S, Dudziak U, et al. Factors associated with self-rated health status in university students: A cross-sectional study in three European countries. BMC Public Health. 2008;8:215. http://dx.doi.org/10.1186/1471-2458-8-215
World Health Organization (WHO). Health interview surveys: toward international harmonization of methods and instruments. Disponível em: http://apps.who.int/iris/handle/10665/107328. Acesso em: 25 out. 2017.
Feng Q, Zhu H, Zhen Z, Gu D. Self-Rated Health, Interviewer-Rated Health, and Their Predictive Powers on Mortality in Old Age. J Gerontol B Psychol Sci Soc Sci. 2016;71(3)538-50. http://dx.doi.org/10.1093/geronb/gbu186
Burstrom B, Fredlund P. Self rated health: Is it as good a predictor of subsequent mortality among adults in lower as well as in higher social classes? J Epidemiol Community Health. 2001;55(11):836-40. http://dx.doi.org/10.1136/jech.55.11.836
Razzaque A, Mustafa AH, Streatfield PK. Do self-reported health indicators predict mortality? Evidence from Matlab, Bangladesh. J Biosoc Sci. 2014;46(5):621-34. http://dx.doi.org/10.1017/S0021932013000448
Sousa TF. Autoavaliação do nível de saúde em estudantes de educação física. Saúde Pesquisa. 2009;2(1):17-21.
Brasil. Ministério da Saúde. VIGITEL Brasil 2016: Vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 Estados brasileiros e no Distrito Federal em 2016. Brasília: Ministério da Saúde, 2017.
Monteiro LZ, Varela AR, Carneiro AML, Alves LR, Góis RFG, Lima TB. Use of tobacco and alcohol among healthcare students. Rev Bras Promoç Saúde. 2018;31(1):19. http://dx.doi.org/10.5020/18061230.2018.6475
Luiz RR, Magnanini MF. A lógica da determinação do tamanho da amostra em investigações epidemiológicas. Cad Saúde Colet. 2000;8(2):9-28.
Sousa TF, Santos SFS, Pie ACS, Rossato LC. Associação entre indicadores de prática de atividades físicas na adolescência com o nível atual de prática de atividades físicas no lazer em acadêmicos de um curso de Educação Física no nordeste do Brasil. Rev Pensar Prática. 2009;12(3):1-12. https://dx.doi.org/10.5216/rpp.v12i3.6521
Brasil. Ministério da Saúde. VIGITEL Brasil 2006: Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico: estimativas sobre frequência e distribuição sócio-demográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 Estados brasileiros e no Distrito Federal em 2006. Brasília: Ministério da Saúde, 2007.
Sousa TF, José HPM, Barbosa AR. Condutas negativas à saúde em estudantes universitários brasileiros. Ciênc Saúde Coletiva. 2013;18(12):3563-75. http://dx.doi.org/10.1590/S1413-81232013001200013
World Health Organization (WHO). Obesity: preventing and managing the global epidemic. Geneva: 1997.
Maldonado G, Greenland S. Simulation study of confounderselection strategies. Am J Epidemiol. 1993;138(11):923-36.
Santos SFS, Freitas Junior IF, Alvarenga AM, Fonseca SA, Virtuoso Junior JS, Sousa TF. Prevalence and factors associated with leisure time physical activity: survey repeated in university students. Rev Bras Cineantropom Desempenho Hum. 2016,18(5):577-90. http://dx.doi.org/10.5007/1980-0037.2016v18n5p577
Alazraqui M, Roux AVD, Fleischer N, Spinelli H. Salud auto-referida y desigualdades sociales, ciudad de Buenos Aires, Argentina, 2005. Cad Saúde Pública. 2009;25(9):1990-2000. http://dx.doi.org/10.1590/S0102-311X2009000900013
Barros MBA, Zanchetta LM, Moura EC, Malta DC. Auto-avaliação da saúde e fatores associados, Brasil, 2006. Rev Saúde Pública. 2009;43(Supl. 2):27-37. http://dx.doi.org/10.1590/S0034-89102009000900005
Pino A, Cediel G, Hirsch S. Ingesta de alimentos de origen animal versus origen vegetal y riesgo cardiovascular. Rev Chil Nutr. 2009;36(3):210-6. http://dx.doi.org/10.4067/S0717-75182009000300003
Bezerra PCL, Opitz SP, Koifman RJ, Muniz PT. Percepção de saúde e fatores associados em adultos: inquérito populacional em Rio Branco, Acre, Brasil, 2007-2008. Cad Saúde Pública. 2011;27(12):2441-51. http://dx.doi.org/10.1590/S0102-311X2011001200015
Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Estratégias para o cuidado da pessoa com doença crônica: obesidade. Brasília: Ministério da Saúde, 2014.
Global BMI Mortality Collaboration, Di Angelantonio E, Bhupathiraju SHN, Wormser D, Gao P, Kaptoge S, et al. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016;388(10046):776-86. http://dx.doi.org/10.1016/S0140-6736(16)30175-1
Silva DAS, Nahas MV, Sousa TF, Del Duca GF, Peres KG. Prevalence and associated factors with body image dissatisfaction among adults in southern Brazil: A population-based study. Body Image. 2011;8(4):427-31. https://dx.doi.org/10.1016/j.bodyim.2011.05.009
Sousa TF. Autopercepção negativa de saúde e fatores associados em acadêmicos de Educação Física no Nordeste, Bahia. Rev Digital. 2010;15(143).
Fonseca SA, Blank VLG, Barros MVG, Nahas MV. Percepção de saúde e fatores associados em industriários de Santa Catarina, Brasil. Cad Saúde Pública. 2008;24(3):567-76. http://dx.doi.org/10.1590/S0102-311X2008000300010
Marques FRB, Botelho MR, Marcon SS, Pupulim JSL. Coping strategies used by family members of individuals receiving hemodialysis. Texto Contexto Enferm. 2014;23(4):915-24. http://dx.doi.org/10.1590/0104-07072014002220011
Yufuf S, Hawken S, Ôunpuu S, Dans T, Avezum A, Lanas F, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364(9438):937-52. http://dx.doi.org/10.1016/S0140-6736(04)17018-9
El Ansari W, Stock C. Explaining the gender difference in selfrated health among university students in Egypt. J Women Health. 2016;56(7):731-44. http://dx.doi.org/10.1080/03630242.2015.1118733