Skip to main content
  • Research article
  • Open access
  • Published:

Health promotion initiatives at school related to overweight, insulin resistance, hypertension and dyslipidemia in adolescents: a cross-sectional study in Recife, Brazil



The emergence of diseases such as dyslipidemia, systemic arterial hypertension, insulin resistance and metabolic syndrome in children and adolescents has brought about a change in the epidemiologic profile of the pediatric population. As action to promote health in the school environment is a useful tool for changing the pattern of health/disease in the young population, the present study aimed to identify schools that promote healthy eating and physical activity and to study the relationship between these practices and the prevalence of overweight, hypertension, insulin resistance and hypercholesterolemia in adolescents.


A cross-sectional population-based study was conducted with 2400 adolescents aged from 12 to 17 years old and participating in the “Study of Cardiovascular Risk in Adolescents” (ERICA – Estudo de Riscos Cardiovasculares em Adolescente). The association between dependent (overweight, insulin resistance, hypertension and dyslipidemia) and independent variables (implementation of health promoting initiative in schools) was investigated using the chi-square test and prevalence ratio (PR) with a confidence index (CI) of 95%.


The unsatisfactory implementation of a “health promoting environment” (PR = 1.02; CI 95%: 1.0; 1.04) and “partnerships with the health sector” (PR = 1.03; CI 95%: 1.01; 1.05) were linked to a high prevalence of overweight in adolescents. Hypercholesterolemia was found to be higher in the schools with unsatisfactory implementation of “healthy eating and health on the scholar curriculum” (PR = 1.71; CI 95%: 1.22; 2.44) and those lacking a “healthy-eating promoting environment” (PR = 1.29; CI 95%: 1.10; 1.54). Schools with unsatisfactory implementation of a “health-eating promoting environment” (PR = 1.36; CI 95%: 1.04; 1.79) and those lacking “partnership with the health sector” (PR = 2.12; CI 95%: 1.38; 3.24) had more adolescents with insulin resistance. There was no association between hypertension and any other component studied.


Schools which have implemented adequate health promotion in their curriculums showed a lower prevalence of overweight, insulin resistance and hypercholesterolemia in adolescents.

Peer Review reports


In Brazil, about 25% of adolescents are overweight [1]. Overweight and obesity are among the main risk factors for the development of Chronic Non-communicable Diseases, and are related to premature death and disability in adult life [2,3,4]. Studies have shown concerning proportions of dyslipidemia, systemic arterial hypertension, insulin resistance and metabolic syndrome among children and adolescents, which have caused changes in the epidemiological profile of the pediatric population [5,6,7,8].

This situation is related to the fact that they are growing in an obesogenic environment which encourages weight gain, obesity and comorbidities caused by the energy imbalance resulting from changes in food types, availability, accessibility and commercialization; as well as a decline in physical activity which may be related to lower accessibility to places for practicing sports/exercise, and greater time spent on sedentary leisure (television, computer, video games, cell phones and tablets) [4, 9].

In this sense, regulatory policies and actions are recognized as one of the more cost effective means of dealing with complex problems such as obesity [10]. A coordinated effort to control overweight/obesity and its comorbidities requires intersectoral attention, especially from the health and education sector, with the intention of community participation.

Schools represent an appropriate environment for interventions aimed at promoting healthy lifestyles, since their physical, social and educational structure facilitates joint actions [11, 12]. Interventions that use an approach of health-promoting schools are able to reduce body mass index (BMI), increase activity levels and physical fitness, and improve fruit and vegetable intake by the students [12].

Many Brazilian schools are barely able to develop health promotion initiatives [13] for reason of lack of adequate environments and equipment for physical activity, as well as barriers to delivering healthy snacks and a lack of partnerships with the health sector and the community, and this may be harmful to the nutritional status of adolescents [12, 14, 15].

Considering that healthy promoting actions in the school environment represent a major challenge to public and private sectors management, yet also represent a great possibility for changing the health/disease patterns in the young population, the present study aims to identify schools with initiatives for promoting healthy eating and physical activity, and its relationship with the prevalence of overweight, hypertension, insulin resistance and hypercholesterolemia in adolescents in the city of Recife, Brazil.


The study was conducted in the city of Recife (population, 1.538 million) in the state of Pernambuco, north-east Brazil. This work is part of the Study of Cardiovascular Risks in Adolescents (ERICA - Estudo de Riscos Cardiovasculares em Adolescentes), in the form of a cross-sectional, national, school-based study. Adolescents between 12 and 17 years of age without temporary or permanent physical disability who were enrolled in the last three grades/years of elementary school or in the three grades/years of high school in public and private schools in the city of Recife were included.

The sampling process tried to preserve the distribution of schools for administrative dependence, (public or private). In the sample, inside each geographical stratum, the method of systematic selection PPS (Proportional Probability to Size) was used, with a previous assortment of schools from the selection registry by geographical stratum, situation and administrative dependence. Thirty-nine (39) schools in Recife were selected in the sampling process. The sample is representative of the population of Recife, Brazil. A detailed description of the method can be found in Vasconcellos et al. [16].

In these schools, we evaluated the implementation of health promotion initiatives, estimated through interviews with the school manager and emphasizing the components described in Table 1.

Table 1 Description of the items evaluated at school

The questionnaire composed by opened and closed questions was divided in four components: 1) participation of the school community (parents, teachers and students) in the school activities; 2) presence of healthy environments; 3) fellowship with the health sector; 4) monitoring of the nutritional state and 5) nutrition policy of the school. The items 1, 2, 3 and 4 were included based on the questionnaire of Silva et al. [15] However, component 4 was adapted for the present study to include the evaluation of the environment promoting the practice of physical activity. The component 5 and sub-component “Practicing physical activity” were elaborated based on the questionnaire The Health Behavior in School-aged Children-HBSC [17]. (Table 1).

A score system was used to ascertain the level of implementation of health promotion in the schools. Twenty-four (24) “yes or no” items received a positive score (1.0) for “yes”, or zero (0.0) for “no”. Eight (8) multiple-choice questions scored 0 when the action was not implemented, 1 for actions partially implemented, or 2 for actions implemented. The items referring to the “average number of meetings with the school community”, were considered positive when responses were higher than the average found in the sample. Missing data were considered null and marked as “0” in the analysis. The maximum sum of every item from each positively answered component was 40 points, distributed over 24 variables with a maximum score of one point each and 8 with a maximum score of 2.0.

By means of a simple rule of three, from the maximum score of the components (40 points) and the score obtained by each school, the level of implementation of each component was calculated, being defined as satisfactory when greater than or equal to 70% the implemented initiatives, unsatisfactory when below 70%. Joint analysis of these components allowed us to estimate the competency degree of initiatives for promoting healthy eating and the practice of physical activity developed by the schools. A detailed description of the components of school health promotion can be found in Bezerra et al. [18]

The weight of adolescents was obtained using a Líder® electronic scale with capacity of 200 kg and variation of 50 g. Height was measured using a portable and detachable Alturexata® stadiometer, with resolution of 1 mm and range of up to 213 cm. The specific procedures for each measurement are described in detail in Bloch et al. [19] BMI was calculated as body weight (kg) divided by the square of height (m). Reference curves were adopted according to the World Health Organization (WHO) [20] using the BMI-for-age index, according to gender. The adopted cut-off points were: Z-score ≥ − 2 and ≤1 (eutrophy); Z-score > 1 and ≤2 (overweight); Z-score > 2 (obesity). Adolescents with Z-score < − 3 (very low weight) or Z-score ≥ − 3 and < − 2 (low weight) were not included in the analyses.

Blood pressure was verified on the right arm using a digital monitor (Omron 705-IT) validated for use in adolescents, with the student sitting and following the recommendations in the literature [21]. Three consecutive measures were performed for each individual, where the first measure was discarded and the average of the last two measurements was used [19]. Adolescents were classified as: normotensive, if systolic and diastolic blood pressure were lower than the 95th percentile values for their height, gender and age; and as hypertensive, if the systolic or diastolic blood pressure corresponded to the 95th percentile or higher [21].

A single reference laboratory was used for blood collection, where all biochemical analyses of the study were centralized with strict quality control. Blood collection required 12-h fasting, and therefore it was only carried out on students in the morning classes/period who had been selected for the ERICA sample. Fasting glycemia was evaluated by GOD-PAP enzymatic method using Roche modular analytical equipment, fasting insulin by the chemiluminescence method, and cholesterol (mg/dL) by enzymatic kinetics method using Siemens ADVIA 2400 equipment. The HOMA-IR index (Homeostatic Model Assessment for Insulin Resistance) was calculated using fasting glucose and insulin values through the pre-established formula: HOMA-IR = (Fasting insulin x fasting glucose)/22.5. Cut-off points considered high were:

  • Glucose 20: ≥ 126 mmol/l

  • Fasting insulin 21: ≥ 20 mU/L

  • Total cholesterol [22]: ≥ 170 mg/dL

  • Insulin resistance 23 (HOMA-IR): ≥ 3.16

Prevalence and 95% confidence intervals (95% CI) were calculated from each component of the lipid, glycemic, overweight and hypertension profiles. Population estimates were obtained taking into account the complex sample design with weighting due to the different selection probabilities of the conglomerates (schools, grades/years and day-shift combinations, and classes) and later calibration by age and gender domains. The sample design can be found in Vasconcellos et al. [16].

Chi-square test and prevalence ratio (PR) with 95% CI were used as an association measure for analyzing the association between dependent variables and independent variables. Associations where p < 0.2 in the crude analysis were subjected to multivariate analysis to control any potential confounding factors. PRs and their 95% CI were calculated by Poisson regression analysis with robust variance adjustment in both crude and adjusted analysis. The level of statistical significance for the variables to remain in the final model was set at < 0.05. Analyses were carried out in the Stata statistical package 14.0 .

The study was approved by the Research Ethics Committees (CEP) of the Federal University of Pernambuco (Number 05185212.2.2002.5208) and the Aggeu Magalhães Research Center (CpqAM/Fiocruz) (Number 31446314.6.1001.5190). The adolescents who participated in this study agreed in writing to participate and their legal guardians signed an informed consent form.


A total of 2400 students participated in the study, of which 661 (27.54%) were from private schools and 1739 (72.46%) from public schools in the city of Recife. In this population, 1287 (53.63%) were males and 1113 (46.38%) were females.

The prevalence of overweight, obesity and hypertension among adolescents in the city of Recife was 16.88% (n = 389), 9.63% (n = 222) and 8.88% (n = 213), respectively. Biochemical parameters were only evaluated in the adolescents who studied in the morning (period), corresponding to 1126 evaluated students. The prevalence of hypercholesterolemia in this group was 20.62% (n = 232), while the prevalence of insulin resistance (HOMA-IR) was 11.75% (n = 132).

Table 2 presents the prevalence of overweight among adolescents, according to implementation of the components developed by the school to promote healthy eating and physical activity. The lower prevalence of overweight adolescents was found in schools that adequately implemented the “health promotion environments” component (p < 0.001). A higher prevalence of overweight/obesity was found in schools that did not have “partnerships with the health sector” (p < 0.001). Schools that were classified as “health promoters” had lower prevalence of overweight adolescents than schools where components were only “partially implemented” (p < 0.01).

Table 2 Prevalence of overweight among adolescents according to implementation of components for a health promoting school

The present study did not find statistical differences between hypertension and the components analyzed in schools, so only the abovementioned prevalence was described for this variable.

Table 3 shows that there is a statistically significant difference between the prevalence of adolescents with insulin resistance in schools that presented the “appropriate health promotion environment” component (7.7%), compared to those who presented an unsatisfactory implementation of this component (13.2%) (p < 0.05). Schools with adequate “monitoring of nutritional status” had lower prevalence of adolescents with insulin resistance than those who had unsatisfactory implementation (p < 0.05). The prevalence of insulin resistance in adolescents was greater among schools that did not present a partnership with the health sector or those that had an unsatisfactory partnership (p < 0.01).

Table 3 Prevalence of Insulin Resistance among adolescents according to implementation of components for health promoting school

Table 4 shows that in schools which included subjects related to health and healthy eating in the school curriculum, hypercholesterolemia prevalence in adolescents was 18.3%; while prevalence was 32.4% in schools where this subcomponent was not satisfactorily implemented, representing a statistically significant difference (p < 0.01). Prevalence of adolescents with hypercholesterolemia was also higher in schools that presented an unsatisfactory implementation of the component “healthy eating promoting environments”.

Table 4 Prevalence of hypercholesterolemia among adolescents according to implementation of components for a health promoting school

Variables that were submitted to multivariate analysis to test the independence of associations with overweight in adolescents were: “School curriculum”, “Nutrition policies”, “Health promoting environment” and “Partnership with the health sector”. After this procedure, schools where implementation of “Health promoting environment” (PR = 1.02; 95% CI: 1.0; 1.04) and of the “Partnership with the health sector” (PR = 1.03; 95%CI: 1.01; 1.05) were unsatisfactory remained significantly associated to overweight (Table 5).

Table 5 Adjusted prevalence ratio (PR) and its 95% confidence interval, according to selected variables for adolescents

The following variables were considered for analysis of Insulin Resistance: “Participation of the school community”, “PPP construction/design” (where PPP stands for political-pedagogical project, and it is equivalent to the school strategic project), “Healthy-eating promoting environment”, “Monitoring of nutritional status” and “Partnerships with the health sector”. Variables independently associated with Insulin Resistance were: unsatisfactory implementation of the “Participation of the school community” (PR = 0.70; 95% CI: 0.53; 0.92), “Healthy-eating promoting environment” (PR = 1.36; 95% CI: 1.04; 1.79), and “Partnership with the health sector” (PR = 2.12; 95% CI: 1.38; 3.24) (Table 5).

The variables independently associated with hypercholesterolemia were: unsatisfactory implementation of “Including themes on healthy eating and health in the school curriculum” (PR = 1.71; 95% CI: 1.22; 2.44) and “Healthy-eating promoting environment” (PR = 1.29; 95% CI: 1.10; 1.54). The other variables introduced in the adjusted model were not statistically significant (Table 5).


When properly implemented in the school environment, most of the evaluated initiatives for promoting healthy eating and physical activity showed a significant association with lower prevalence of overweight, insulin resistance and/or hypercholesterolemia, except for hypertension, which showed no significant association with the analyzed components.

In Brazil, we can consider that some events in the last two decades may have influenced schools to implement these initiatives, even if in an insipid way, for example: nutritional transition in children and adolescents; consequent policies of coping with these diseases; recognition of the school as a privileged space for health promotion; conducting national school health research; as well as strategies that aim at intersectoriality and involvement of basic health care with nutritional assessment actions and promoting healthy eating in schools.

Despite advances in diet, nutrition and physical activity policies in recent years, the prevalence of obesity found in Recife was high (9.6%), and higher than reported for the Northeast region (7.4%) in the same period [1]. The results of the study showed that 26.5% of adolescents are overweight; this is also a higher prevalence than what was described for adolescents living in Recife, Pernambuco, Brazil, in 2007 (20.4%) [23].

This situation is related to the fact that children and adolescents are growing in an obesogenic environment, caused by the energy imbalance resulting from changes in food types, availability, accessibility and commercialization, as well as a decline in physical activity due to more time spent in front of a screen and in sedentary leisure [4, 9, 24].

Overweight and obesity are the main contributors to the burden of chronic diseases in the population [2, 3]. The concern about the occurrence of obesity is related to developing comorbidities and complications generated by overweight. Fat accumulation is associated with the presence of arterial hypertension and metabolic alterations, such as the increase of triglycerides and glycemia, and reduced HDL-cholesterol [25], comorbidities of high prevalence in the present study.

These conditions are often asymptomatic at this stage of life, and can easily become unnoticed even by health professionals; therefore, emphasizing the importance of preventive and curative care in adolescents is crucial, as well as promoting healthy eating habits and to practice physical activity, which are among the main factors for the prevention of NCDs [26, 27]. In this sense, school is considered a facilitating space for interventions aimed at promoting healthy lifestyles, since it facilitates joint actions in the physical, social and educational environment [11]. At an individual level, health education through school curriculums is an important part of the school’s approach to health promotion [12].

National Curricular Parameters (PCNs - Parâmetros Curriculares Nacionais) guide promotion of health concepts across the school curriculum, as well as insertion of the “Healthy eating, physical activity and health” theme. An associated lower prevalence of hypercholesterolemia in adolescents was found in Recife when these themes were included in the school curriculum. In a study carried out in schools in São Paulo, the presence of themes related to health promotion was clear; however, other important issues are inconsistent such as access and purpose of diet in the processes of nutrition, eating habits, obesity and nutritional deficiencies [28].

These results demonstrate that schools that want to implement health promotion are often confronted with obstacles that they cannot overcome by themselves and therefore need properly support [29]. In Canada, public health units have played a key role in supporting this mandate through the development of curriculum resources, targeted classroom teaching related to promotion of health awareness campaigns and chronic disease prevention.

In Brazil the basic health units are developing these actions in the school environment [18]. However, it is understood that public health units may not have the capacity to offer support for all schools within their jurisdiction. In order to develop or maintain the capacity to facilitate and sustain healthy school communities, public health units may devise strategies for training public health and school staff, students and parents [30].

In the present study, school community participation is focused on involvement in meetings, constructing and executing the political pedagogical project, and training health educators, which may not have been comprehensive enough to assess the community’s actual participation in health and healthy eating promotion actions in school, and consequently their relationships with adolescents’ nutritional status. However, the literature recognizes that teachers, staff, and peers can encourage or even discourage physical activity behavior, and that this can influence adherence to weight control, improve social life and family relationships [31,32,33].

Davanço et al. [31] describe in their research that teachers exposed to the nutritional education course presented themselves better prepared conceptually and also more sensitized about the teacher’s and the school’s role as transformers of reality; demonstrating that the school environment can become a space for learning and for producing knowledge about health.

The presence of healthy environments in schools was associated with lower prevalence of overweight, IR (insulin resistance) and hypercholesterolemia in adolescents from Recife. These findings corroborate those by Dias et al. [9], who demonstrate that providing a supportive physical environment for healthy eating and for practicing physical activity should be considered in order to enable coping with chronic non-communicable diseases more effective.

Accessibility to sports fields and gyms, as well as the presence of equipment and a welcoming and safe environment promote physical activity in the school environment [32]. A systematic review [12] found that physical activity interventions in these conditions reduce body mass index (BMI) and that regular practice represents an important change in nutritional status in the school population.

In order to carry out actions that promote healthy eating within school, several environment possibilities can be considered, such as patios, snack shacks, vegetable gardens, cafeterias and classrooms. However, if used incorrectly, these environments can negatively influence students’ eating habit development. In evaluating the snacks offered in schools in Brasilia, Brazil, it was observed that they hardly used the cafeteria as a healthy eating promoting environment [13, 15]. These areas often offer ultra-processed, densely energetic, low-nutritional value foods [14].

In the present study, the presence of healthy eating environments in schools was associated with lower prevalence of IR, hypercholesterolemia. The presence of environments promoting healthy eating and physical activity was related to the lower prevalence of overweight in students. Howerton et al. [34] found that interventions in the school environment produced healthy lifestyle among students. That interventions were able to reduce students’ body mass index (BMI), increase physical activity and fitness levels, improve fruit and vegetable consumption [12].

Regarding nutrition policies for availability and encouragement of healthy eating in schools, no significant association was found with the overweight of adolescents. It is possible that this is due to limitations of the model used (cross-sectional study), as well as the implementation duration of these policies, considering that they need sufficient time to reflect into changes in eating habits and differences in BMI.

Similar findings were reported by Fernandes et al. [35], who found no significant differences in prevalence of overweight/obesity after the study due to an insufficient amount of time to notice changes in the nutritional status of the schoolchildren. Furthermore, schools may find it difficult to implement this component adequately, as they do not have partnerships with health professionals or even the support of government policies [18].

School meals do not currently appear to promote policies that encourage healthy eating among adolescents [18, 36]. School canteens sell or serve children and adolescents a daily diet of highly processed food, such as cookies with filling, bakery products, candy and soda. Consumption of such products early in life is directly related to high total cholesterol and LDL-cholesterol in children [37] and increased prevalence of metabolic syndrome in adolescents [38].

Some school policies have recently been effective in improving school meals and the school diet [39,40,41]. In Brazil, public schools have the support of the National School Meals Program (PNAE), which, despite its structural and financial limitations, provides school meals and dietary and nutritional education for students [42]. Fung et al. [43] evaluated quality before and after implementation of a school nutrition policy in the Canadian province of Nova Scotia and found that such interventions can have a positive impact on the quality of the diet, energy consumption and consumption of healthy beverages, but further action beyond the school setting is needed to reduce the prevalence of child obesity.

Schools with partnerships with the health sector presented a lower prevalence of adolescents with hypercholesterolemia and insulin resistance. This relationship is possibly a result of the fact that health professionals’ actions in schools can directly contribute to adolescents’ health; either directly, where the professional will develop actions along with the students; or considering an exchange of knowledge between health professionals and educators, this exchange can potentiate activities developed by teachers in the classroom with the students [15].

Despite the significant association in the crude analysis with lower prevalence of insulin resistance in adolescents, BMI lost significance in the multivariate analysis. Diagnosing BMI, and screening blood pressure, lipids and blood glucose are important measures to trace students’ needs to maximize health and to direct actions that will be developed with the school community. Moreover, it makes it possible to determine the magnitude, behavior and determinants of nutritional disorders, as well as to identify at risk groups and to direct appropriate interventions [2, 4, 10].

The lack of studies applying the same methodology to classify schools as health promoters has limited comparability of this study with others. Considering that this field is still under construction and few Brazilian studies have been conducted, it is necessary that further studies deepen the investigated components, to understand the school food environment, including the perception of what makes a health promoting school, and the barriers faced by teams trying to achieve this goal. Despite these limitations, these findings represent an important understanding of policies which influence the nutritional situation of schools/students.


The results of the present study suggest that implementing components to promote healthy eating and physical activity, along with investments in health at schools, may contribute to reducing overweight, insulin resistance and hypercholesterolemia in adolescents, avoiding the onset of Chronic Non-communicable Diseases in adult life, thus contributing to developing healthy and productive adults, and consequently, avoiding suffering and reducing the inequality that these diseases can cause. Accordingly, they demonstrate the importance of healthy eating and practicing physical activity in school environments and its direct relationship with adolescents’ health. However, they also demonstrate that schools need more support to develop these activities, and there is a need for clear regulation that will help schools and their food services promote healthy eating in the school environment aimed at the well-being and health of students. Finally, it is necessary to mobilize the government and education and health departments to improve the physical spaces for practicing physical activity, and in designing, executing and monitoring these measures together with school managers, as well as adolescents’ nutritional status.


95% CI:

95% confidence intervals


Body Mass Index


Political-pedagogical project


Prevalence Ratio


  1. 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.

    PubMed  PubMed Central  Google Scholar 

  2. Kearns K, Dee A, Fitzgerald AP, Doherty E, Perry IJ. Chronic disease burden associated with overweight and obesity in Ireland: the effects of a small BMI reduction at population level. BMC Public Health. 2014;14:143.

    Article  PubMed  PubMed Central  Google Scholar 

  3. De Onis M, Martínez-Costa C, Núñez F, Nguefack-Tsague G, Montal A, Brines J. Association between WHO cut-offs for childhood overweight and obesity and cardiometabolic risk. Public Health Nutr. 2012;16:625–30.

    Article  PubMed  Google Scholar 

  4. World Health Organization. Report of the commission on ending childhood obesity. Geneva: World Health Organization. 2016. Accessed 10 Feb 2017.

  5. Kim G, Caprio S. Diabetes and insulin resistance in pediatric obesity. Pediatr Clin N Am. 2011;58:1355–61.

    Article  Google Scholar 

  6. Alcântara Neto OD, Silva RCR, Assis AMO, Pinto EJ. Factors associated with dyslipidemia in children and adolescents enrolled in public schools of Salvador, Bahia. Rev bras epidemiol. 2012;15:335–45.

    Article  PubMed  Google Scholar 

  7. Faria ER, Faria FR, Franceschini SCC, Peluzio MCG, Sant’Ana LFR, Novaes JF, et al. Insulin resistance and components of metabolic syndrome, analysis by gender and stage of adolescence. Arq Bras Endocrinol Metab. 2014;58:610–8.

    Article  Google Scholar 

  8. Faria-Neto JR, Bento VFR, Baena CP, Olandoski M, Gonçalves LGO, Abreu GA, et al. ERICA: prevalence of dyslipidemia in Brazilian adolescents. Rev Saude Publica. 2016;50(Supl 1):10s.

    PubMed  Google Scholar 

  9. Dias DF, Loch MR, Ronque ERV. Perceived barriers to leisure-time physical activity and associated factors in adolescents. Ciênc Saúde Coletiva. 2015;20:3339–50.

    Article  Google Scholar 

  10. Roberto CA, Swinburn B, Hawkes C, Huang TTK, Costa SA, Ashe M, Zwicker L, Cawley JH, Brownell KD. Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking. Lancet. 2015;385:2400–9.

    Article  PubMed  Google Scholar 

  11. Costa FF, Assis MAA, González-Chica D, Bernardo C, Barros MVG, Nahas MV. Effect of school-based intervention on diet in high school students. Rev bras cineantropom desempenho hum. 2014;16(Suppl 1):S36–45.

    Article  Google Scholar 

  12. Langford R, Bonell CP, Jones HE, Pouliou T, Murphy SM, Waters E, Komro KA, Gibbs LF, Magnus D, Campbell R. The world health organization’s health promoting schools framework: a cochrane systematic review and meta-analysis. BMC Public Health. 2015;15:130.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Schmitz BAS, Recine E, Cardoso GT, Silva JRM, Amorim NF, Bernardon R, et al. Promotion of healthy eating habits by schools: a methodological proposal for training courses for educators and school cafeteria owners. Cad Saúde Pública. 2008;24(Suppl 2):s312–22.

    Article  Google Scholar 

  14. Frederick CB, Snellman K, Putnam RD. Increasing socioeconomic disparities in adolescent obesity. Proc Natl Acad Sci. 2014;111:1338–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Silva JRM, Schmitz BAS, Rodrigues MLCF, Gabriel CG. Promotion of healthy eating at schools in the Federal District of Brazil. Rev Nut. 2013;26:145–58.

    Article  Google Scholar 

  16. Vasconcellos MTL, Silva PLN, Szklo M, Kuschnir MCC, Klein CH, Abreu GA, Barufaldi LA, Bloch KV. Sampling design for the study of cardiovascular risks in adolescents (ERICA). Cad Saúde Pública. 2015;31:921–30.

    Article  PubMed  Google Scholar 

  17. Roberts C, Freeman J, Samdal O, Schnohr CW, de Looze ME, NicGabhainn S, Iannotti R, Rasmussen M. The health behaviour in school-aged children (HBSC) study: methodological developments and current tensions. Int J Public Health. 2009;54(Suppl 2):140–50.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Bezerra MA, Carvalho EF, Oliveira JS, Leal VS. Health and nutrition in public and private schools in the city of Recife. Rev Bras Saude Mater Infant [Internet]. 2017;17(1):191–200.

    Article  Google Scholar 

  19. Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Bloch KV, Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA, Klein CH, et al. The study of cardiovascular risk in adolescents - ERICA: rationale, design and sample characteristics of a national survey examining cardiovascular risk factor profile in Brazilian adolescents. BMC Public Health. 2015;15:94–103.

    Article  PubMed  PubMed Central  Google Scholar 

  21. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics. 2004;114(Suppl 2):S555–76.

    Article  Google Scholar 

  22. American Diabetes Association-ADA. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(Suppl 1):S62–9.

    Article  Google Scholar 

  23. Pinto ICS, Arruda IKG, Diniz AS, Cavalcanti AMTS. Prevalência de excesso de peso e obesidade abdominal, segundo parâmetros antropométricos, e associação com maturação sexual em adolescentes escolares. Cad Saúde Pública. 2010;26:1727–37.

    Article  PubMed  Google Scholar 

  24. Giuliano ICB, Caramelli B, Pellanda L, Duncan B, Mattos S, Fonseca FH. I diretriz de prevenção da aterosclerose na infância e na adolescência. Arq Bras Cardiol. 2005. of_Prevention_of_Atherosclerosis_in_Childhood_and_Adolescence. Accessed 11 Dec 2016.

  25. Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, Yeckel CW, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004;350:2362–74.

    Article  CAS  PubMed  Google Scholar 

  26. Xavier HT, Izar MC, Faria Neto JR, Assad MH, Rocha VZ, Sposito AC, et al. V Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose. Arq Bras Cardiol. 2013;101(Suppl 1):1–20.

    Article  CAS  Google Scholar 

  27. Falkner B, Lurbe E, Schaefer F. High blood pressure in children: clinical and health policy implications. J Clin Hypertens. 2010;12:261–76.

    Article  Google Scholar 

  28. Fiore EG, Jobstraibizer GA, Silva CS, Cervato-Mancuso AM. Abordagem dos temas alimentação e nutrição no material didático do ensino fundamental: interface com segurança alimentar e nutricional e parâmetros curriculares nacionais. Saude soc. 2012;21:1063–74.

    Article  Google Scholar 

  29. Gugglberger L. Support for health promoting schools: a typology of supporting strategies in Austrian provinces. Health Promot Int. 2011;26(1):447–56.

    Article  PubMed  Google Scholar 

  30. Ministry of Health Promotion. School Health Guidance Document. Queen’s Printer for Ontario. 2010. Accessed 13 Aug 2016.

  31. Davanço GM, Taddei JAAC, Gaglianone CP. Conhecimentos, atitudes e práticas de professores de ciclo básico, expostos e não expostos a Curso de Educação Nutricional. Rev Nutr. 2004;17(2):177–84.

    Article  Google Scholar 

  32. Pabayo R, Janosz M, Bisset S, Kawachi I. School social fragmentation, economic deprivation and social cohesion and adolescent physical inactivity: a longitudinal study. PLoS One. 2014;9(6):e99154.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Sousa PML, Gaspar P, Fonseca H, Gaspar F. Association between treatment adherence and quality of life among overweight adolescents. Cad Saúde Pública. 2017;33:e00171815.

    PubMed  Google Scholar 

  34. Howerton MW, Bell BS, Dodd KW, Berrigan D, Stolzenberg-Solomon R, Nebeling L. School-based nutrition programs produced a moderate increase in fruit and vegetable consumption: meta and pooling analyses from 7 studies. J Nutr Educ Behav. 2007;4:186–96.

    Article  Google Scholar 

  35. Fernandes PS, Bernardo CO, Campos RMMB, Vasconcelos FAG. Avaliação do efeito da educação nutricional na prevalência de sobrepeso/obesidade e no consumo alimentar de escolares do ensino fundamental. J Pediatr. 2009;85:315–21.

    Google Scholar 

  36. Rathi N, Riddell L. Anthony Worsley; food environment and policies in private schools in Kolkata. India Health Promot Int. 2017;32(2):340–50.

    PubMed  Google Scholar 

  37. Rauber F, Campagnolo PD, Hoffman DJ, Vitolo MR. Consumptionof ultra-processed food products and its effects on children’slipid profiles: a longitudinal study. Nutr Metab Cardiovasc Dis. 2015;25:116–22.

    Article  CAS  PubMed  Google Scholar 

  38. Tavares LF, Fonseca SC, Rosa MLG, Yoko O. E.M. Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian family doctor program. Public Health Nutr. 2012;15:82–7.

    Article  PubMed  Google Scholar 

  39. Jaime PC, Lock K. Do school based food and nutrition policies improve diet and reduce obesity? PMC. 2009;48(1):45–53.

    Google Scholar 

  40. McKenna ML. Policy options to support healthy eating in schools. Canadian Public Health Association. 2010;101(Suppl 2):S14–7.

    Google Scholar 

  41. Melo SM, Passos OV, Teixeira LSM, Climaco CKJ, Soares OAR, Soares SJ. Effectiveness of an educational intervention to reduce the consumption of high-calorie foods in public school children in Teresina, Piaui (Brazil). Nutr Hosp. 2015;32:622–6.

    Google Scholar 

  42. Peixinho AML. The trajectory of the Brazilian school nutrition program between 2003 and 2010: report of the national manager. Ciênc Saúde Coletiva. 2013;18(4):909–16.

    Article  Google Scholar 

  43. Fung C, McIsaac J-LD, Kuhle S, Kirk SFL, Veugelers PJ. The impact of a population-level school food and nutrition policy on dietary intake and body weights of Canadian children. PMC. 2013;57(6):934–40.

    Google Scholar 

Download references


To the Brazilian Institute of Geography and Statistics (IBGE) for the disposal of electronic data collectors, the PDA (personal digital assistant).


Department of Science and Technology of the Secretary of Science, Technology and Strategic Inputs of the Brazilian Ministry of Health (Decit/SCTIE/MS); Health Sector Fund (CT-Saúde) of the Brazilian Ministry of Science, Technology and Innovation (MCTI) (FINEP Protocol: 01090421 and CNPq 565037/2010–2 and 405.009/2012–7). The author Bezerra Assunção, MK is a fellow of CNPq (Process Process 444138 / 2014–5).

Availability of data and materials

The database can be shared by the corresponding author upon request.

Author information

Authors and Affiliations



MKAB, JSO and EFC participated in the design and planning of the study, in the analysis and interpretation of data and produced the first draft of the manuscript with support from EÂPC, PICL, JGTC and VSL. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Myrtis Katille de Assunção Bezerra.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Research Ethics Committees (CEP) of the Federal University of Pernambuco (Number 05185212.2.2002.5208) and the Aggeu Magalhães Research Center (CpqAM/Fiocruz) (Number 31446314.6.1001.5190). The adolescents who participated in this study agreed in writing to participate and their legal guardians signed an informed consent form.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Assunção Bezerra, M.K., Freese de Carvalho, E., Souza Oliveira, J. et al. Health promotion initiatives at school related to overweight, insulin resistance, hypertension and dyslipidemia in adolescents: a cross-sectional study in Recife, Brazil. BMC Public Health 18, 223 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: