Demographic data |
Age |
Years |
|
Gender |
Male/female |
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IBGE/Race-skin color |
White, black, mulatto (pardo), Asian, Native |
IBGE 2020. Instituto Brasileiro de Geografia e Estatística. Características étnico-raciais da população : um estudo das categorias de classificação de cor ou raça: 2008. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística; 2011.
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Socioeconomic data |
Administrative category of high school |
Federal public school, state public school, municipal public school, or private school |
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Currently resides with |
Alone, parents, relatives, or other |
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Access to the internet at home |
Yes or no |
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ABEP/Economic class |
A, B, C, D-E, with “A” being the highest and "D-E," the lowest |
ABEP 2121. Associação Brasileira de Empresas de Pesquisa. Critérios de classificação econômica do Brasil. São Paulo: Associação Brasileira de Empresas de Pesquisa; 2015.
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Parents’ level of education |
< 9 years (incomplete elementary school), 9 to 12 years (complete elementary school/incomplete high school), and > 12 years (complete high school) |
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Food consumption and food-related habits |
Screening |
Healthy and unhealthy eating habits markers |
Secretaria de Vigilância em Saúde, Ministério da Saúde 5252. Secretaria de Vigilância em Saúde, Ministério da Saúde. Vigitel Brasil 2013: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2014. (Série G. Estatística e Informação em Saúde).
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Factors that influence food consumption are identified |
Aspects, and sensory, cultural, social, economic, and alimentary habits |
Kearney et al. 2222. Kearney M, Kearney JM, Dunne A, Gibney MJ. Sociodemographic determinants of perceived influences on food choice in a nationally representative sample of Irish adults. Public Health Nutr 2000; 3:219-26. Estima 2323. Estima CCP. Por que os adolescentes comem o que comem? Determinantes do consumo alimentar [Doctoral Dissertation]. São Paulo: Universidade de São Paulo; 2012.
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Products consumed while watching television, playing video games or using the computer * |
List of 10 products |
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Frequency of meals consumption * |
Daily, 5-6 times/week, 3-4 times/week, 1-2 times/week and never/almost never |
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Place of meals consumption * |
Usually does not eat, at home, at school/university, snack bar, bar-restaurant, others |
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Diet practice |
Yes or no List of 10 activities performed to lose or gain weight |
|
Frequency of meals consumption at the University Restaurant |
6 times/week, 5 times/week, 4 times/week, 3 times/week, 2 times/week, 1 time/week and never/almost never |
|
Diet |
Very good, good, regular, bad, and very poor |
|
24hR |
|
Conway et al. 2424. Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc 2004; 104:595-603.
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Physical activity and sedentary behaviors |
IPAQ/Physical activity level * |
Very active, active, insufficiently active (a and b), sedentary |
Matsudo et al. 2525. Matsudo S, Araujo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, et al. Questionário Internacional de Atividade Física (IPAQ): estudo de validade e reprodutibilidade no Brasil. Rev Bras Ativ Fís Saúde 2001; 6:5-18.
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Sedentary habits |
3 hours or more/day as excessive computer use, and 4 hours or more/day as excessive use of television |
Hickman et al. 2626. Hickman M, Roberts C, Matos MG. Exercise and leisure-time activities. In: Currie C, Hurrelmann K, Settertobulte W, Smith R, Todd J, editors. Health and health behaviour among young people. Copenhagen: World Health Organization Regional Office for Europe; 2000. p. 73-82.
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Consumption of alcoholic beverages and smoking |
Experimentation |
Age; or never experienced |
|
Consumption in the last 30 days * |
Days/Month |
Moura & Malta 2727. Moura EC, Malta DC. Alcohol consumption in the Brazilian adult population: sociodemographic characteristics and trend. Rev Bras Epidemiol 2011; 14:61-70.
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Abusive alcohol consumption in the last 30 days |
Days/Month |
Moura & Malta 2727. Moura EC, Malta DC. Alcohol consumption in the Brazilian adult population: sociodemographic characteristics and trend. Rev Bras Epidemiol 2011; 14:61-70.
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Intake of ethanol in the last 7 days |
Grams |
Ferreira et al. 2828. Ferreira MG, Valente JG, Gonçalves-Silva RMV, Sichieri R. Consumption of alcoholic beverages and abdominal adiposity in blood donors. Rev Saúde Pública 2008; 42:1067-73.
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Current smoking |
Days/Month |
WHO 2929. World Health Organization. Guidelines for controlling and monitoring the tobacco epidemic. Geneva: World Health Organization; 1998.
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Time of exposure to tobacco |
|
Reichert et al. 3030. Reichert J, Araújo AJ, Gonçalves CMC, Godoy I, Chatkin JM, Sales MPU, et al. Diretrizes para cessação do tabagismo - 2008. J Bras Pneumol 2008; 34:845-80.
|
Number of cigarettes smoked/day |
|
Reichert et al. 3030. Reichert J, Araújo AJ, Gonçalves CMC, Godoy I, Chatkin JM, Sales MPU, et al. Diretrizes para cessação do tabagismo - 2008. J Bras Pneumol 2008; 34:845-80.
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Use of tobacco and alcohol in the year prior to admission in the university * |
Yes/No |
|
Drink at least one dose of alcoholic beverage |
Days/Month |
|
Body image and self-perception of weight status |
Appearance-healthy |
List of 9 figures |
Stunkard et al. 4444. Stunkard AJ, Sorenson T, Schlusinger F. Use of the Danish Adoption Register for the study of obesity and thinness. In: Kety SS, Rowland LP, Sidman RL, Matthysse SW, editors. The genetics of neurological and psychiatric disorders. New York: Raven Press; 1983. p. 115-20.
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Self-perception of weight condition |
Above normal, normal, below normal, do not know |
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Assessment of sleeping habits |
Hours of sleep * |
|
|
ESE-BR/Disorders |
Excessive daytime sleepiness |
Bertolazi et al. 4545. Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Barreto SSM, Johns MW. Validation of the epworth sleepiness scale in Portuguese for use in Brazil. J Bras Pneumol 2009; 35:877-83.
|
PSQI-BR/Habits-quality |
Hours, minutes, none in the last month, less than once/week, 1 or 2 times/week, 3 or more times/week |
Bertolazi et al. 4646. Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Silva Miozzo IC, Barba MEF, et al. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med 2011; 12:70-5.
|
Emotional stress and depression |
Perception of stress |
Never, almost never, sometimes, fairly often, very often |
Reis et al. 4747. Reis RS, Hino AAF, Rodriguez-Añez CR. Perceived stress scale reliability and validity study in Brazil. J Health Psychol 2010; 15:107-14.
|
PHQ-9/Depression episodes |
Not once, several days, more than half the days, almost everyday |
Santos et al. 4848. Santos IS, Tavares BF, Munhoz TN, Almeida LSP, Silva NTB, Tams BD, et al. Sensibilidade e especificidade do Patient Health Questionnaire-9 (PHQ-9) entre adultos da população geral. Cad Saúde Pública 2013; 29:1533-43.
|
Disordered eating habits |
Binge eating methods of weight control or gain compensatory mechanisms to food intake |
Not once, less than once a week, once a week, two or more times a week |
Ferreira & Veiga 4949. Ferreira JES, Veiga GV. Reliability (test-retest) of a simplified questionnaire for screening adolescents with risk behaviors for eating disorders in epidemiological studies. Rev Bras Epidemiol 2008; 11:393-401.
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Promptness to behavior change |
Transtheoretical model: eating pattern, fruit and vegetable consumption, physical activity |
Preconception, contemplation, preparation, action, and maintenance |
Prochaska et al. 5050. Prochaska JO, DiClemente CC, Norcross JC. In search of how people change: applications to addictive behaviors. Am Psychol 1992; 47:1102-14.
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Self-assessment of health status |
Health status |
Very good, good, regular, bad, and very poor |
Secretaria de Vigilância em Saúde, Ministério da Saúde5252. Secretaria de Vigilância em Saúde, Ministério da Saúde. Vigitel Brasil 2013: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2014. (Série G. Estatística e Informação em Saúde).
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Reported morbidity |
Hypertension or high blood pressure, diabetes, high serum cholesterol or triglycerides, none of the conditions, others, and which ones |
Secretaria de Vigilância em Saúde, Ministério da Saúde5252. Secretaria de Vigilância em Saúde, Ministério da Saúde. Vigitel Brasil 2013: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2014. (Série G. Estatística e Informação em Saúde).
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