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

Estudo longitudinal de fatores associados à saúde do adolescente: Método e perfil amostral

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.

Key words
Academic performance; Eating behavior; Hypertension; Low back pain; Obesity

Resumo

O objetivo deste trabalho foi descrever os procedimentos metodológicos de um estudo longitudinal sobre a saúde de adolescentes, bem como caracterizar o perfil da amostra. Participaram desta pesquisa 302 adolescentes (13,9±1,2 anos) de Londrina – Paraná. Duas coletas de dados foram realizadas com intervalo de três anos. Foram coletados indicadores antropométricos, pressão arterial, frequência cardíaca, dor na coluna, desempenho escolar, atividade física, comportamento sedentário, hábitos alimentares, consumo de bebidas alcoólicas, tabagismo, condição socioeconômica e testes motores. Verificou-se frequência de pressão arterial elevada de 10,4%; índice de massa corporal em condições associadas com risco à saúde de 22,4%; e dor na coluna com intensidade moderada de 22,1%. A prática de esporte e/ou exercício físico (moderada à vigorosa; ≥150 minutos/semana) foi de 33,1%. O consumo elevado dos alimentos e bebidas não saudáveis variou de 21,2% (café ou chá) a 58,0% (frituras). Elevada proporção (87,1%) relatou nunca ter fumado. As prevalências de notas ≥ sete, variaram entre 21,4% (Biologia) e 71,1% (Educação Física). Apenas 33,2% tiveram desempenho escolar elevado. O maior atendimento de critérios foi no abdominal (76,4%) e o menor flexão de cotovelos (37,2%). Este trabalho possibilitará verificar a estabilidade de diferentes indicadores comportamentais e biológicos relacionados à saúde, bem como do desempenho escolar. Permitirá a identificação da associação entre desfechos em saúde e fatores de exposição de forma prospectiva, considerando a influência de potenciais variáveis de confusão. Tais informações podem contribuir para o planejamento de intervenções e políticas públicas na área da saúde.

Palavras-chave
Comportamento alimentar; Desempenho acadêmico; Hipertensão; Dor lombar; Obesidade

INTRODUCTION

Health can be defined as a dynamic state of wellbeing, characterized by a physical, mental and social potential, which satisfies the demands of a life commensurate with age, culture, and personal responsibility. If the potential is insufficient to satisfy these demands the state is disease1. Blood pressure, obesity, and physical fitness have been highlighted due to their relationship with early morbidity and mortality2-4. Spinal pain has received great attention, as it is one of the main factors responsible for years lived with disability4, difficulty to engage in healthy behaviors5, low academic achievement6 and generates high health costs7. Insufficient physical activity8,9, high sedentary behavior10, and inappropriate eating habits seem to be in the causal chain of these outcomes,8,11 as well others including mental health12.

The evidence about associations between health outcomes and the adoption of different behaviors is complex and does not always show consistent results. Part of the divergences seems to occur due to cross-sectional designs, which make it difficult to establish a causal relationship, in addition to presenting the possibility of reverse causality. Another relevant aspect is the verification of potential confounding variables, which are often not investigated13,14. Longitudinal studies contribute to understanding the relation between exposures and health-related outcomes. However, the main barriers to their realization are logistical difficulties and higher cost.

Different strategies have been adopted in longitudinal studies to deal with these barriers. At times, instruments with greater difficulty were applied to random samples. Subsequently, according to specific objectives, only these individuals were invited to perform some follow-ups12,15. Similar strategies can be observed in studies carried out in Brazil, as well as which, some measures involving higher costs were carried out only at a few moments9.

Longitudinal studies that investigate the relationship between behaviors and different health-related outcomes are still scarce in Brazil. This information is of great importance, as it could contribute to understanding of the relationship between different behaviors and the onset of health outcomes, thus providing elements for directing intervention strategies and contributing to the planning of public policies. Therefore, the aim of the present study was to present the methodological procedures of a longitudinal study on adolescent health, as well as to describe the sample profile.

METHODS

Design and procedures

Longitudinal study involving adolescents from Londrina, Paraná, Brazil. There was between the baseline and follow-up a mean interval of 3 years (±2 months). Reliability of the information was verified in the baseline (Figure 1). A pilot study (n=58) was carried out with adolescents who did not compose the sample, aiming at training researchers, standardizing procedures, and identifying the technical error of measurement (TEM) of anthropometric variables. Study protocols were approved by the Ethics in Research Committee from the university where the study took place (Protocol no. 234/10).

Figure 1
Sample flow chart.

Population and sample

Londrina City had 48,688 students enrolled in state schools (publicly administered institutions) at the beginning of the study, from 5^th grade of elementary school to the 3^rd grade of high school. A total of 30,777 students were attending the 5^th to 8^th grades. Regarding the 1^st, 2^nd and 3^rd high school years, 17,911 students were enrolled in state schools (data from the City Department of Education of Londrina, referring to the year 2009). In the present study, schools with 400 to 800 enrolled students were considered medium-sized schools, and with more than 800 enrolled students were considered large schools. The number of enrolments was proportionally distributed among small, medium, and large schools in the city. Two state schools were randomly selected for the composition of the sample in the present study: a medium-sized school (central region) and a large one (northern region). Classrooms were randomly selected in each school (conglomerate). The sample involved approximately 50% of the participants of each school.

To determine sample size at baseline the calculation16 was performed based on a prevalence of 7.7% of high blood pressure (HBP)17 and a tolerable error of 3%. The sample size calculated was 301 participants for a simple random sample. A correction for design effect of 2.0 was performed, thus requiring at least 603 participants. To offset the effect of any losses, a total of 15% was added. After these, the number of participants established was 693. The baseline involved 708 regularly enrolled schoolchildren (boys and girls), aged between 12 and 18 years.

At follow-up, 322 individuals were considered eligible, as they were still of school age (Figure 1). In a future study, the main objective will be to verify the association between HBP at baseline ​​and HBP at follow-up. Crude and adjusted odds ratios with 95% confidence intervals (95%CI) will be obtained with logistic regression models.

Data collection procedures

Procedures were performed during Physical Education classes in the following order: questionnaires (physical activity, eating habits and alcohol consumption, back pain, smoking, and socioeconomic status), blood pressure, heart rate, and anthropometric measurements (body mass, height, circumferences, and skinfolds) performed in the classroom. Motor performance was subsequently verified in a covered multi-sports court3,18. In the follow-up, questionnaires, blood pressure, heart rate, body mass and height were verified following the same procedures.

Physical activity and sedentary behavior data were obtained through the Baecke Questionnaire of Habitual Physical Activity-BQHPA. The BQHPA is structured in 3 sections; the first considers physical activities at school, the second, sports during leisure time, and the third, physical activity during leisure time. The scores were calculated according to standardized procedures with higher scores indicating greater physical activity. From dimension two, questions nine through 9.6 were used to obtain information about sport and/or physical exercise (SPE)19. Participants were classified as sufficiently active (moderate-to-vigorous; ≥150 min/week), insufficiently active (moderate-to-vigorous; <150 min/week), and non-practitioners.

Eating habits was verified using a recall tool, specifically built for the study. Participants were instructed to consider the consumption of a normal week and report on which days and the quantity, considering homemade measures, they usually consume each food and drink. Reliability (10±3 days) was verified (n=186) and the intraclass correlation coefficients range between 0.88 (95%CI=0.84-0.91) for coffee or tea to 0.65 (95%CI=0.52-0.74) for sweets. High consumption was classified as ≥8/week (fried foods, coffee or tea, cola drinks, other types of soft drinks except “cola types” and sweets), ≥4/week (chips) or ≥1/week (alcoholic beverages).

Spinal pain (cervical, thoracic, and lumbar) was verified using an instrument proposed for young people20. In the analysis of the presence of pain in the spine, a value ≥3 cm on scale was used as an indicator of the presence of pain equal to or greater than moderate21.

Tobacco use was verified with the question: Are you a smoker? With five answer options: (a) No, I have never smoked; (b) No, but I have smoked before; (c) Yes, I smoke occasionally; (d) Yes, I smoke at least once a week; and (e) Yes, I smoke daily. Participants who reported smoking at least once a week or daily´s were considered smokers. Reliability (10±3 days) was verified (n=233) and the agreement was 97.4% with Kappa of 0.92 (95%CI=0.86-0.98).

The parent´s education was verified by a questionnaire and was dichotomized between: <Complete high school and ≥Complete high school. The socioeconomic classification was obtained using the same questionnaire22. Reliability (10±3 days) for the socioeconomic classification was verified (n=194) and the agreement was 77.3% with Kappa of 0.69 (95%CI=0.61-0.77).

The final results of each discipline at the baseline and follow-up moments were used to analyze academic achievement. The final results were composed by the grades of the 1^st, 2^nd, 3^rd, and 4^th quadmesters for teaching of the subjects organized annually. In block teaching, the final result was composed by the scores of the two bimesters in which each subject was taken, and it were considered the scores of all subjects taken in each year of the data collection. Elementary school students (Phase II) studied the following subjects in their curriculum: Arts, Physical Education, Geography, History, Portuguese Language, Mathematics, Modern Foreign Language, and Sciences. High school students have the first seven subjects, plus: Biology, Chemistry, Physics, Sociology, and Philosophy. The State Department of Education/Superintendent of Education23 of the Paraná State, in Instruction No. 011/2014, standardizes the procedures for issuing the final report of the State Education System. A minimum requirement of 6.0 or higher is required for approval, in addition to a minimum frequency of 75% of the total workload of each subject taken in the collective organization and 100% in the individual organization. Participants were dichotomized among academic achievement "≥high" and "<high". Since the instructions indicate only the minimum criteria for approval and there are no cut-off points that designate “high” performance, in the present study participants who obtained grades equal to or greater than 7.0 in at least 70% of the subjects, and who in the other subjects obtained scores equal to or higher than 6.0 were considered to have performance "≥high".

Participants sat at rest for five minutes before measuring blood pressure and heart rate. An appropriate cuff for each participant was selected according to the circumference of the arm. Standardized procedures were adopted to measure blood pressure. The blood pressure of each participant was checked twice, with an interval of two minutes between measurements, and the average of the values ​​was used for the analyses. Participants were classified as having HBP when their blood pressure value was ​​above the 95th percentile according to their age, sex, and height24. Blood pressure and heart rate were measured by an oscillometric monitor Omron HEM 742 (Omron HealthCare, Kyoto, Japan), previously calibrated in authorized technical assistance and validated for adolescents25.

Body mass was measured with a Plenna^® scale, model Acqua (Plenna Especialidades Ltda; São Paulo, Brazil) with a 0.1 kg unit of measurement and height with a portable stadiometer, with a 0.1cm unit of measurement. The measurements were performed according to standardized procedures26. TEMs of less than 0.5% were obtained. The body mass index (BMI) was calculated by dividing body mass (kg) by the square of height (m). Circumferences and skinfolds were verified in part of the baseline cohort in order to verify the relationship between BMI and adiposity indicators. The adolescents who performed the measurements were chosen randomly from the classes. Waist and abdomen circumferences were measured using a Sanny^® measuring tape, model SN-4010 (American Medical do Brasil Ltda; São Paulo, Brazil), with a 0.1 cm measurement unit, according to standardized procedures27. Subscapular, tricipital, and medial calf skinfolds were measured on the right side of the body, using a Lange^®skinfold caliper, with a 1.0mm measurement unit (Beta Technology Incorporated; Cambridge, USA) according to standardized procedures28. Skinfold measurements were performed by one of the researchers (GAA) with a TEM of less than 5%. Body fat percentage was estimated by Slaughter et al. equations29. Fitnessgram criterion-referenced standards3 were used to classify participants regarding adiposity indicators.

Motor performance were verified in part of the baseline cohort. The adolescents who took the tests were randomly chosen from each class. The sit and reach from Physical Best18 and Back-saver sit and reach from Fitnessgram3 were applied. The first test to be performed was chosen randomly. For this, the evaluator drew a card before each participant performed the tests. Thus, 50% of the participants performed the Physical Best18 test first and 50% the Fitnessgram3 test. When applying the Fitnessgram test, the same drawing procedure was carried out, in order to choose whether the participant would start the test with the right or left limb. In addition, it were applied the Shoulder Stretch, Trunk lift, Curl-up test, 90° push-up, and PACER tests3. The VO_2max was estimated using the equation recommended by the Fitnessgram30.

Statistical analysis

The data were entered in duplicate and the EpiData 3.1 program (EpiData Association, Odense, Denmark) “validate duplicate files” was used to verify the consistency of the information. Any typing errors were corrected. The Kolmogorov-Smirnov test was used to verify the normality of quantitative variables. The significance adopted was p<0.05. Measures of central tendency (mean, median, and mode) and dispersion (standard deviation and interquartile range) were used to describe the quantitative variables. For qualitative variables, absolute and relative frequency (%) were calculated, as well as the 95% confidence interval. The analyses were performed using the IBM SPSS Statistics for Windows software, version 20 (IBM Corp., Armonk, N.Y., USA).

RESULTS

The mean age of the participants at baseline was 13.9 (±1.2) years and 53.6% were boys. The predominant economic condition was class “B” and a large proportion of parents had at least complete elementary school (Table 1).

Table 1
Sociodemographic characteristics of adolescents at baseline.

		Mean (SD)
Age - years (n=302)		13.9 (1.2)
Sex (n=302)		% (95%CI)
	Girls	46.2 (40.4 - 51.6)
	Boys	53.6 (48.0 - 59.3)
Economic class (n=274)		% (95%CI)
	A (high economic power)	11.3 (7.6 - 15.1)
	B	64.2 (58.6 - 69.9)
	C	24.1 (19.0 - 29.2)
	D/E	0.4 (0.0 - 1.1)
Father's education (n = 279)		% (95%CI)
	Illiterate / up to 3rd year elementary school	3.2 (1.2 - 5.3)
	Up to 4 th year elementary school	11.8 (8.0 - 15.6)
	Complete elementary school	27.6 (22.4 - 32.8)
	Complete high school	36.6 (30.9 - 42.2)
	University education	20.8 (16.0 - 25.6)
Mother's education (n = 291)		% (95%CI)
	Illiterate / up to 3rd year elementary school	2.7 (0.9 - 4.6)
	Up to 4th year elementary school	10.3 (6.8 - 13.8)
	Complete elementary school	34.7 (29.2 - 40.2)
	Complete high school	30.9 (25.6 - 36.2)
	University education	21.3 (16.6 - 26.0)

• Note. SD: Standard deviation; 95%CI: 95% Confidence Interval

When analyzing biological indicators, 22.4% of the participants were classified in the “needs improvement” zone for BMI. The frequency of HBP was 10.4%. In addition, a high frequency of pain in the spine with moderate intensity was observed, with 22.1% presenting pain in at least one region (Table 2). For motor performance the test with the highest frequency of achievement was the Curl-up and the least frequency was the 90° push-up (Table 3).

Table 2
Baseline health-related biological indicators in adolescents.

	Mean (SD)
Body mass - Kg (n=292)	54.3 (12.7)
Height - cm (n=290)	162.1 (8.5)
Body mass index - Kg/m2(n=290)	20.5 (4.0)
Waist circumference - cm (n=108)	67.8 (8.2)
Abdomen circumference - cm (n=108)	74.1 (8.8)
Triceps skinfold - mm (n=74)	12.52 (5.47)
Subscapular skinfold - mm (n=68)	9.6 (4.7)
Calf skinfold - mm (n=72)	14.1 (6.2)
Systolic blood pressure - mmHg (n=270)	111.5 (12.2)
Diastolic blood pressure - mmHg (n=270)	62.6 (7.8)
Heart rate - bpm (n=270)	83.7 (12.9)
Body mass index (n=290)	% (95%CI)
Very lean	9.0 (5.7 -12.3)
Healthy fitness zone	68.6 (63.3 - 74.0)
Needs improvement	14.1 (10.1 - 18.1)
Needs improvement - health risk	8.3 (5.1 - 11.4)
High blood pressure (n=268)	10.4 (6.8 - 14.1)
High systolic blood pressure (n=268)	8.6 (5.2 - 11.9)
High diastolic blood pressure (n=268)	3.0 (0.9 - 5.0)
Spine pain - ≥ Moderate (n=285)	% (95%CI)
1 region	22.1 (17.3 - 26.9)
2 regions	6.3 (3.5 - 9.1)
3 regions	2.1 (0.4 - 3.8)
Cervical spine pain - ≥ Moderate (n=291)	12.0 (8.3 - 15.8)
Thoracic spine pain - ≥ Moderate (n=296)	13.2 (9.3 - 17.0)
Lumbar spine pain - ≥ Moderate (n=294)	16.0 (11.8 - 20.2)

• Note. SD: Standard deviation; 95%CI: 95% Confidence Interval.

Table 3
Achievement of baseline health-related physical fitness and criterion-referenced standards in adolescents.

Motor performance	Mean (SD)
Sit and reach - cm (n=115)	25.1 (8.7)
Back-saver Sit and reach - right limb - cm (n=114)	25.8 (7.9)
Back-saver Sit and reach - left limb - cm (n=114)	25.3 (7.8)
Trunk lift - cm (n=102)	24.2 (5.2)
Curl-up - repetitions (n=123)	41.1 (25.2)
90° push-up - repetitions (n=86)	9.3 (8.1)
PACER - Laps (n=208)	31.2 (16.8)
Cardiorespiratory fitness - VO2máx - ml/kg/min (n=207)	41.1 (5.7)
Motor performance - Needs improvement	% (95%CI)
Sit and reach (n=115)	48.7 (39.6 - 57.8)
Back-saver sit and reach (n=114)	40.4 (31.3 - 49.4)
Shoulder Stretch (n=149)	29.5 (22.2 - 36.9)
Trunk lift (n=102)	42.2 (32.6 - 51.7)
Curl-up (n=123)	23.6 (16.1 - 31.1)
90° push-up (n=86)	62.8 (52.6 - 73.0)
Cardiorespiratory fitness (n=207)	% (95%CI)
Healthy fitness zone	42.0 (35.3 - 48.8)
Needs improvement	21.7 (16.1 - 27.4)
Needs improvement - health risk	36.2 (29.7 - 42.8)

• Note. SD: Standard deviation; 95%CI: 95% Confidence Interval.

Table 4
Achievement of baseline health-related physical fitness and criterion-referenced standards in adolescents.

Habitual physical activity	Mean (SD)
Baecke index (n=267)	7.8 (1.3)
School index (n=301)	2.7 (0.5)
Sport index (n=292)	2.7 (0.7)
Leisure-time index (n=285)	2.5 (0.7)
SPE - moderate-to-vigorous (n=302)	% (95%CI)
No	48.3 (42.7 - 54.0)
<150 min/week	18.5 (14.2 - 22.9)
≥150 min/week	33.1 (27.8 - 38.4)
Weekly consumption of food and drinks	Mean (SD)	Median (IQR)	Mode
Fried foods (n = 300)	9.9 (6.2)	9.0 (6.0 - 14.0)	7.0
Chips-type snacks (n = 301)	3.0 (3.8)	2.0 (1.0 - 4.0)	0.0
Sweets (n = 302)	10.3 (10.4)	7.0 (3.0 - 14.0)	2.0
“Cola-type” soft drinks (n = 298)	11.6 (13.4)	8.0 (3.0 - 15.0)	3.0
Soft drinks - all except “cola type” (n = 298)	7.8 (10.3)	4.5 (2.0 - 10.0)	0.0
Coffee or tea (n = 302)	5.3 (7.6)	2.0 (2.0 - 7.0)	0.0
Alcoholic beverages (n = 299)	1.4 (4.4)	0.0 (0.0 - 0.0)	0.0
High consumption of food and drinks in portions	% (95%CI)
Fried food - ≥8/week (n = 300)	58.0 (52.4 - 63.6)
Chip type snacks - ≥4/week (n = 301)	28.2 (23.2 - 33.3)
Sweets - ≥8/week (n = 302)	46.7 (41.1 - 52.3)
“Cola type” soft drinks - ≥8/week (n = 298)	50.3 (44.7 - 56.0)
Soft drinks - all except “cola type” - ≥8/week (n = 298)	33.6 (28.2 - 38.9)
Coffee or tea - ≥8/week (n = 302)	21.2 (16.6 - 25.8)
Alcoholic beverages - ≥1/week (n = 299)	22.7 (18.0 - 27.5)
Smoking (n = 302)	% (95%CI)
No, I never smoked	87.1 (83.3 - 90.9)
No, but I've smoked before	10.6 (7.1 - 14.1)
Yes, I smoke occasionally	1.0 (0.0 - 2.1)
Yes, I smoke at least once a week	1.3 (0.0 - 2.6)
Yes, I smoke daily	0.0 (0.0 - 0.0)

• Note. SD: Standard deviation; 95%CI: 95% Confidence Interval. IQR: Interquartile range; SPE: Sport and/or physical exercise.

When analyzing the SPE with moderate-to-vigorous intensity, for a period ≥150 min/week, 33.1% met the criterion. The high consumption of unhealthy foods and beverages ranged from 21.2% to 58.0%. A high proportion of adolescents reported never having smoked and there were no reports of smoking daily (Table 4).

The final results for Arts (n=253), Sciences (n=211), Physical Education (n=253), Geography (n=253), History (n=253), Foreign Language (n=253), Mathematics (n=253), Portuguese (n=253), Biology (n=42), Philosophy (n=43), Physics (n=41), Chemistry (n=41), and Sociology (n=41) were: 7.0 (±1.1), 6.7 (±1.0), 7.4 (±0.9), 7.1 (±1,0), 7.3 (±1.0), 7.0 (±1.1), 6.8 (±1.0), 6.9 (±0.9), 6.4 (±0.9), 7.7 (±1.3), 7.0 (±1.7), 6.9 (±1.2), and 6.6 (±1.0), respectively. The frequency (95%CI) of scores equal to or greater than seven were: 49.8% (43.6-56.0), 35.1% (28.6-41.5), 71.1% (65.6-76.7), 53.8% (47.6-59.9), 60.5% (54.4-66.5), 49.8% (43.6-56.0), 39.5% (33.5-45.6), 45.5% (39.3-51.6), 21.4% (9.0-33.8), 65.1% (50.9-79.4), 48.8% (33.5-64.1), 51.2% (35.9-66.5), and 36.6% (21.8-51.3), respectively. The frequency of high achievement (n=253) was 33.2% (27.4-39.0).

DISCUSSION

The present study described methods and sample profile of a longitudinal study conducted with adolescents. The main results were high frequency of HBP, moderate intensity spinal pain and needs improvement for all components of physical fitness. A high proportion of adolescents did not meet the criteria used for SPE (moderate-to-vigorous; ≥150 min/week) and had a high consumption of unhealthy foods and drinks, including alcohol. However, high proportion reported never having smoked. The lowest frequency of grades greater than or equal to seven was obtained for Biology and the highest for Physical Education. One third of the participants presented a high academic performance.

Regarding sociodemographic characteristics, the proportion of boys and girls was similar to that found in representative studies of Brazilian adolescents2. The predominant economic class in the present study indicates that the purchasing power of the sample appears to be greater than that of the Brazilian population22.

A nationally representative study carried out with Brazilian adolescents2 identified a prevalence 9.6% for HBP and the prevalence for BMI above the recommended was 25.5%. The frequency of HBP was very similar to that found in the present study. For BMI, although different criteria were adopted, the proportion above the cut-offs was also similar. The frequency of spinal pain was lower than previously described20, this was due the fact that moderate spinal pain was used as a cut-off in the present study.

Regarding behavioral indicators, a previous study in the same city identified a higher proportion of smokers than the present study (15.1% to 20.7%). Additionally, found a high prevalence of insufficiently physical active and unhealthy eating habits, corroborating with the results of the present study, but it is needed to consider that it were used different instruments8. The present study verifies physical activity index and SEP19 and the instrument used to investigate eating habits does not allow to know the nutrient intakes, but it makes it possible to assess dietary patterns15.

Academic achievement was assessed using grades of final results in each discipline. This measure is a criteria used on Brazilian schools for student approval for the following year or retention. The strength of using this procedure is that grades are issued by student´s teachers according to subject area, reducing bias of a test applied by researchers. Furthermore, grades are the most common measure when analyzing academic achievement6 and results of this longitudinal research will elucidate how different aspects of adolescent´s health can impact this outcome.

Adolescence seems to be an essential stage in the establishing healthy behavior, which tend to be maintained in adult life15, suggesting that efforts to prevent and reduce risk behaviors should be instituted during the school period, a time when young people are especially receptive to incorporating health-related behaviors into their daily lives8,9.

Some limitations must be recognized when interpreting the information in the present study. The information on physical activity and other health-related behaviors was not measured objectively. However, questionnaires has been a frequent option to verify health-related behaviors in longitudinal studies, due to acceptable validity and reliability, as well as being practical and inexpensive9,12. The sample size was calculated aiming only at estimating the frequency of HBP. In this way, it is possible that the analysis of other outcomes is limited by the sample size, requiring a posteriori calculation to identify the adequacy of the sample size. Finally, small schools were not included in the study, so the results could not be representative for the entire population. Otherwise, non-representative samples are common in longitudinal design due to logistical difficulties. It should be highlighted some positive aspects of the current study. It had a longitudinal design and evaluated potential confounding variables.

CONCLUSION

There was a high frequency of health-related outcomes, as well as a high proportion of unhealthy behaviors already in early adolescence. High academic achievement was achieved just for one third of the participants. This work will enable the verification of the tracking of health-related behaviors and biological indicators, as well as academic achievement. In addition, it will make it possible to identify the association between health outcomes and exposures prospectively, considering potential confounding variables. This information may contribute to propose intervention strategies and plan public health policies for Brazilian adolescents.

How to cite this article

• Arruda GA, Coledam DHC, Cantieri FP, Barros MVG, Silva DAS, AlbuquerqueAOBC, Freitas CMSM, Oliveira AR. Longitudinal study of associated factors with adolescent health: Method and sample profile. Rev Bras Cineantropom Desempenho Hum 2020, 22:e71432. DOI: http://dx.doi.org/10.1590/1980-0037.2020v22e71432

COMPLIANCE WITH ETHICAL STANDARDS

• Funding

  National Postdoctoral Program of CAPES (PNPD/CAPES).

• Ethical approval

  Ethical approval was obtained from the local Human Research Ethics Committee - State University of Londrina (number 234/10) and the protocol was written in accordance with the standards set by the Declaration of Helsinki.

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Publication Dates

• Publication in this collection
  23 Oct 2020
• Date of issue
  2020

History

• Received
  11 Feb 2020
• Accepted
  23 June 2020