Longitudinal study of associated factors with adolescent health: Method and sample profile

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Abstract

The aim of this work was to describe the methodological procedures of a longitudinal study on adolescent health, as well as to characterize the sample profile. This research enrolled a sample of 302 adolescents from Londrina - Paraná. Two data collections were carried out with an interval of three years. Anthropometric indicators, blood pressure, heart rate, back pain, academic achievement, physical activity, sedentary behavior, eating habits, alcohol consumption, smoking, socioeconomic status, and motor tests were collected. There was a frequency of high blood pressure of 10.4%; body mass index in conditions associated with health risk of 22.4%; and spinal pain with moderate intensity of 22.1%. Sport and/or physical exercise practice (moderate-to-vigorous; ?150 minutes/week) was 33.1%. High consumption of unhealthy foods and beverages ranged from 21.2% (coffee or tea) to 58.0% (fried foods). A high proportion (87.1%) reported never having smoked. The grades frequency ? seven varied between 21.4% (Biology) and 71.1% (Physical Education). Only 33.2% presented high academic achievement. The highest compliance with criteria was in the curl-up (76.4%) and the lowest in the 90º push-up (37.2%). This work will make it possible to verify the tracking of different behavioral and biological indicators related to health, as well as academic achievement. It will also allow the identification of the association between health outcomes and exposure factors prospectively, considering the influence of potential confounding variables. This information could contribute to the planning of public health interventions and policies.

References

Bircher J. Towards a dynamic definition of health and disease. Med Health Care Philos 2005;8(3):335-41.

Bloch KV, Klein CH, Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA, et al. ERICA: prevalences of hypertension and obesity in Brazilian adolescents. Rev Saúde Pública 2016;50(suppl.1):9s.

Meredith MD, Welk GJ. Fitnessgram/Activitygramtest administration manual (Updated. 4. ed.). Champaign: Human Kinetics; 2013.

GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018;392(10159):1923-1994.

Briggs AM, Jordan JE, O’Sullivan PB, Buchbinder R, Burnett AF, Osborne RH, et al. Individuals with chronic low back pain have greater difficulty in engaging in positive lifestyle behaviors than those without back pain: An assessment of health literacy. BMC Musculoskelet Disord 2011;12:161.

Ragnarsson S, Myleus A, Hurtig AK, Sjöberg G, Rosvall PÅ, Petersen S. Recurrent Pain and Academic Achievement in School-Aged Children: A Systematic Review. J Sch Nurs 2020;36(1):61‐78.

Dagenais S, Caro J, Haldeman S. A systematic review of low back pain cost of illness studies in the United States and internationally. Spine J 2008;8:8-20.

Guedes DP, Guedes JERP, Barbosa DS, Oliveira JA, Stanganelli LCR. Fatores de risco cardiovasculares em adolescentes: indicadores biológicos e comportamentais. Arq Bras Cardiol 2006;86(6):439-50.

Reichert FF, Wells JC, Ekelund U, Menezes AM, Victora CG, Hallal PC. Prospective associations between physical activity level and body composition in adolescence: 1993 Pelotas (Brazil) Birth Cohort. J PhysAct Health 2015;12(6):834-9.

Lemes IR, Sui X, Fernandes RA, Blair SN, Turi-Lynch BC, Codogno JS, et al. Association of sedentary behavior and metabolic syndrome. Public Health 2019;167:96-102.

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2020-11-10

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Original Articles