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Overweight/obesity in teachers: prevalence and associated factors

Abstract

The study aimed to assess the prevalence and sociodemographic, occupational and lifestyle factors associated with overweight/obesity in state teachers from a northeastern Brazilian city. A cross-sectional study involving teachers from the city of Jequié-BA initially selected by cluster sampling (schools) was conducted. The sample consisted of 300 teachers, including 72.7% (n=214) women. Sociodemographic, occupational and lifestyle data were investigated. Body weight and height were obtained by self-report. Prevalence ratios and 95% confidence intervals were estimated and a level of significance of 5% was adopted. The overall prevalence of overweight/obesity was 47.2%. The prevalence was significantly higher among male teachers (58.2%), married or cohabitating subjects (49.1%), whites and mulattoes (87.6%), teachers with an income > R$ 2,002.00 and a permanent contract (45.9%), and subjects who did not consume fruits or vegetables (49.1%). After multivariate analysis, only gender (95% CI = 0.16-0.66) and consumption of fruits and vegetables (95% CI = 0.25-0.98) remained significantly associated with overweight/obesity among teachers. These findings promote debate on the need for actions designed to encourage the adoption of an active lifestyle by the teacher population.

Key words:
Obesity; Occupational health; Overweight

Resumo

O estudo teve como objetivo avaliar a prevalência e os fatores sociodemograficos, ocupacionais e hábitos de vida associados ao sobrepeso/obesidade entre professores da rede estadual de um município do nordeste brasileiro. Estudo de corte-transversal com professores da rede estadual do município de Jequié-BA selecionados, inicialmente, por conglomerados (escolas). A amostra foi constituída por 300 professores, 72,7% (n=214) do sexo feminino. Foram investigadas informações sobre as características sociodemograficas, ocupacionais e hábitos de vida. A massa corporal e a estatura foram obtidas por meio de informações autorreferidas. Foram estimadas as razões de prevalência e respectivos intervalos de confiança a 95%. Adotou-se nível de significância estatística de 5%. Encontrou-se uma prevalência global de sobrepeso/obesidade de 47, 2%, sendo essa prevalência significativamente elevada entre os professores do sexo masculino (58,2%), casados ou vivendo em união estável (49,1%), brancos e pardos (87,6%), com renda > R$ 2.002,00, com vínculo de trabalho efetivo (45,9%) e que não consumiam frutas e verduras (49,1%). Após a análise multivariada, apenas as variáveis sexo (IC 95% = 0,16-0,66) e consumo de frutas e verduras (IC 95% = 0,25-0,98), mantiveram-se associadas significativamente com sobrepeso/obesidade entre os professores. Estes achados fomentam a discussão sobre a necessidade de ações de incentivo a adoção de um estilo de vida ativo entre a população docente.

Palavras-chave:
Obesidade; Saúde do trabalhador; Sobrepeso

INTRODUCTION

Obesity is a global epidemic and has been identified as an important cause of current morbidity and mortality11 Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA 2012; 307(5): 491-7.,22 World Health Organization (WHO). World health statistics 2012. Geneva; 2012. Available at: http://apps.who.int/iris/bitstream/10665/44844/1/9789241564441_eng.pdf?ua=1 [2014 fev. 03]
http://apps.who.int/iris/bitstream/10665...
. According to the World Health Organization (WHO)22 World Health Organization (WHO). World health statistics 2012. Geneva; 2012. Available at: http://apps.who.int/iris/bitstream/10665/44844/1/9789241564441_eng.pdf?ua=1 [2014 fev. 03]
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, the worldwide prevalence of obesity has almost doubled over the past 20 years. World population estimates indicate that about half a billion people (> 20 years) are considered obese and approximately 2.8 million die each year as a result of obesity22 World Health Organization (WHO). World health statistics 2012. Geneva; 2012. Available at: http://apps.who.int/iris/bitstream/10665/44844/1/9789241564441_eng.pdf?ua=1 [2014 fev. 03]
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. In Brazil, the 2011 Surveillance of Risk and Protective Factors for Chronic Diseases by Telephone Survey (Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico - Vigitel)33 Ministério da saúde (MS). Surveillance of risk-factors for chronic diseases through telephone 2011. Available at: http://portalsaude.saude.gov.br/portalsaude/arquivos/pdf/2012/Ago/22/vigitel_2011_final_0812.pdf[17 abr. 2014].
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identified a prevalence of obesity of 15.8%, corresponding to an increase of approximately 5% when compared to the results of 2006.

The expansion of obesity in Brazil is less intense among women33 Ministério da saúde (MS). Surveillance of risk-factors for chronic diseases through telephone 2011. Available at: http://portalsaude.saude.gov.br/portalsaude/arquivos/pdf/2012/Ago/22/vigitel_2011_final_0812.pdf[17 abr. 2014].
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, among richer and better educated socioeconomic groups44 Barceló A, Peláez M, Rodriguez-Wong L, Pastor-Valero M. The prevalence of diagnosed diabetes among the elderly of seven cities in Latin America and the Caribbean: the Health Wellbeing and Aging (SABE) Project. J Aging Health 2006; 18(2): 224-39., and in more developed regions of the country55 Pego-Fernandes PM, Bibas BJ, Deboni M. Obesity: the greatest epidemic of the 21st century? Sao Paulo Med J. 2011; 129(5): 283-4.. According to data from the Family Budget Survey66 Alwan A, Maclean DR, Riley LM, d'Espaignet E, Mathers CD, Stevens GA, et al. Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries. Lancet 2010; 376 (9755): 1861-8., the prevalence of obesity is higher among men aged 45 to 54 years and among women aged 55 to 64 years.

Overweight and obesity are considered serious public health problems given the likelihood of developing adverse health effects such as metabolic and cardiovascular diseases77 Braveman P, Egerter S, Williams DR. The Social Determinants of Health: Coming of Age. Annu Rev Public Health 2011; 32: 381-98.,88 Silva VS, Petroski EL, Souza I, Silva DAS. Prevalence and factors associated with overweight adults in Brazil: a study of population-based throughout the national territory. J. Bras Sports Cienc 2012; 34 (3): 713-26., locomotor disorders, some types of cancer, and respiratory and dermatological disorders22 World Health Organization (WHO). World health statistics 2012. Geneva; 2012. Available at: http://apps.who.int/iris/bitstream/10665/44844/1/9789241564441_eng.pdf?ua=1 [2014 fev. 03]
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. These problems have contributed to the current scenario of morbidity and mortality in the population and the consequent increase in healthcare spending99 Gomes MA, Borges LJ, Nascimento JV. Professional Development Series and the Quality of Physical Education Teachers of Life southwest Bahia. Rev Bras Physic Educ Sports. Leis Dance 2007; 2(4): 104-14..

Understanding that overweight/obesity has a multifactorial origin, different genetic, metabolic, behavioral (especially eating habits and physical activity), environmental, cultural and socioeconomic factors have contributed to its occurrence99 Gomes MA, Borges LJ, Nascimento JV. Professional Development Series and the Quality of Physical Education Teachers of Life southwest Bahia. Rev Bras Physic Educ Sports. Leis Dance 2007; 2(4): 104-14.

10 Moreira HR, Nascimento JV, Sonoo CN, Both J. Quality of life of teaching in Physical Education of Parana state, Brazil. Bras J. Rev Bras Kineanthropom Human Perf 2010; 12(6): 435-42.
-1111 Santos MN, Marques AC. Health conditions, lifestyles and occupational characteristics of teachers in a city in southern Brazil. Cien Health Colet 2013;18(3): 837-46..In the teacher population, poor eating habits and lack of physical activity have been shown to be the most frequent factors associated with obesity, even in different regions of the country1212 Oliveira DA. The restructuring of teaching: precariousness and flexibility. Educ Soc 2004; 25(89): 1127-44

13 Silva LG, Silva MC. Working and health conditions of preschool teachers of the public school network of Pelotas, State of Rio Grande do Sul, Brazil. Cien Saude Colet 2013; 18(11): 3137-46.
-1414 Reis EJFB, Araújo TM, Carvalho FM, Barbalho L, Silva MO. Teaching and emotional exhaustion. Educação Sociedade 2006; 27(94): 229-53..

Changes in the working conditions of many professional categories, particularly teachers, have contributed to the development of lifestyle-related diseases1414 Reis EJFB, Araújo TM, Carvalho FM, Barbalho L, Silva MO. Teaching and emotional exhaustion. Educação Sociedade 2006; 27(94): 229-53.,1515 Conde WL, Oliveira DR, Borges CA, Baraldi LG. Consistency between anthropometric measures in national surveys. Rev Saude Publica 2013; 47(1): 69-76., including obesity. The characteristics of the school environment, including inadequate infrastructure, the lack of equipment and its maintenance, insufficient human resources, a high volume of bureaucratic attributions, constant requirements of professional qualification, a large number of students per class, low wages, professional devaluation, poor control of work activities and little or no social support, have been extensively studied as causes of health problems in teachers1414 Reis EJFB, Araújo TM, Carvalho FM, Barbalho L, Silva MO. Teaching and emotional exhaustion. Educação Sociedade 2006; 27(94): 229-53.,1616 Tzotzas T, Vlahavas G, Papadopoulou SK, Kapantais E, Kaklamanou D, Hassapidou M. Marital status and educational level associated to obesity in Greek adults: data from the National Epidemiological Survey. BMC Public Health 2010; 10: 732,1717 Oliveira RAR, Moreira OC, Andrade Neto F, Amorim W, Costa EG, Marins CB. Prevalence of overweight and obesity in professors of Universidade Federal de Viçosa. Fisioter Mov 2011; 24(4):603-12..

Considering the health consequences of overweight/obesity22 World Health Organization (WHO). World health statistics 2012. Geneva; 2012. Available at: http://apps.who.int/iris/bitstream/10665/44844/1/9789241564441_eng.pdf?ua=1 [2014 fev. 03]
http://apps.who.int/iris/bitstream/10665...
, the increase in the prevalence of obesity in the adult Brazilian population and the lack of studies on this topic involving the teacher population, surveys identifying modifiable factors that influence nutritional status in this group are needed. Therefore, the objective of the present study was to estimate the prevalence of overweight/obesity among state teachers from a northeastern Brazilian city and to identify associated sociodemographic, occupational and lifestyle factors.

METHODOLOGICAL PROCEDURES

A cross-sectional study involving state teachers from the city of Jequié, Bahia, Brazil, was conducted between September and December 2010.

The city of Jequié is located in the southwestern region of Bahia, a border zone between savanna and forest areas. The estimated population of the municipality is 187,541 inhabitants and commerce is the main economic activity. The state school system is linked to the Regional Board of Education (DIREC 13) and comprised in the year of the study 716 teachers in permanent and temporary employment.

The estimated sample size necessary to represent the 716 teachers was 251 subjects based on an unknown prevalence of the outcome (50%), a tolerable error of 5%, a confidence level of 95% and a design effect of 1.5, adding 15% for possible losses and refusals.

Teachers who had been laid off or were at the disposal of other organs of the State Government and those on leaves of absence (licence award, maternity leave or vacation) were not included in the study. The participants were included according to school unit where the teacher worked and proportional to the size of the school (which is related to the number of students enrolled and the number of classes formed). First, the schools (n=12) were randomly selected and all teachers linked to the selected schools through a temporary contract, service provision or permanent employment were included in the study.

Overweight and obesity were determined based on body mass index [BMI = body weight (kg)/height (m2)]. Body weight and height were obtained by self-report. According to Conde et al.1515 Conde WL, Oliveira DR, Borges CA, Baraldi LG. Consistency between anthropometric measures in national surveys. Rev Saude Publica 2013; 47(1): 69-76. this measure shows good precision. For the purpose of analysis, the BMI data were dichotomized: overweight/ obesity (BMI ≥ 25 kg/m2) and low/normal weight (BMI < 25 kg/m2) according to the nomenclature and cut-off values for adults adopted by the WHO1919 Gutiérrez-Fisac JL, Guallar-Castillón P, León-Muñoz LM, Graciani A, Banegas JR, Rodríguez-Artalejo F. Prevalence of general and abdominal obesity in the adult population of Spain, 2008-2010: the ENRICA study. Obes Rev 2012; 13(4): 388-92..

The sociodemographic characteristics included age (up to 39 years or ≥ 39 years), gender (male or female), self-reported race/skin color (white, mulatto, black), marital status (single, married or cohabiting, divorced, separated, widowed), education level (high school or higher education), and monthly income (up to US$ 697,86 or ≥ US$ 697,86). Age and income were categorized according to the means obtained. The occupational characteristics comprised the following variables: years of formal work (up to 6 years or ≥ 6 years), weekly workload (up to 20 hours or ≥ 20 hours), type of contract (permanent or temporary), and number of classes in which the participant teaches (up to 7 classes or ≥ 7 classes). The variables years of work and number of classes were categorized according to the mean.

Lifestyle habits were evaluated using the Individual Lifestyle Profile (Perfil do Estilo de Vida Individual - PEVI) questionnaire. For the effect of analysis, only data related to the nutritional and physical activity components were used in the present study. This instrument consists of 15 questions divided into five components (nutrition, physical activity, preventive behavior, relationships, and stress control).

Eating habits (nutrition component) were evaluated by applying the following questions: Does your daily meals include at least 5 portions of fruits and vegetables? Do you avoid consuming fatty foods (fatty meat, fried foods) and sweets? Do you have 4 or 5 meals per day, including complete breakfast? The nutrition variable was categorized as follows: the response to each question of the instrument was rated on a Likert-type scale from 0 to 3. Values of 0 and 1, which correspond to "is not part of my lifestyle" and "sometimes", respectively, indicate a negative lifestyle profile (no). Values of 2 and 3, which correspond to "almost always" and "is part of my lifestyle", respectively, indicate a positive profile (yes).

With respect to the physical activity component, the participants answered the following questions: Do you perform at least 30 minutes of moderate/intense physical activity in a continuous or cumulative manner, 5 times or more per week? Do you perform exercise involving strength training and stretching at least twice a week? During your daily life, do you walk or cycle as a means of transportation and do you preferentially take the stairs instead of the elevator? Subjects who reported that performing at least 30 minutes of moderate/intense physical activity in a continuous or cumulative manner, 5 or more times per week, is part or is almost always part of their lifestyle were classified as active.

Statistical analysis

Descriptive statistical procedures (frequency, mean, and standard deviation) were used. The association between overweight/obesity and the sociodemographic, occupational and lifestyle variables was evaluated using a measure of statistical significance for categorical variables determined by the chi-squared test (χ2). Exploratory multiple logistic regression analysis was used for simultaneous evaluation of the factors included in the study. Prevalence ratios and the respective 95% confidence intervals (CI) were calculated using the delta method. Variables with a p value ≤ 0.25 in crude analysis were included in the logistic regression model. The data were analyzed using the SPSS® 16.0 software and R program, version 2.5.

Ethical issues

The study protocol was approved by the Ethics Committee of Universidade Estadual do Sudoeste da Bahia (Protocol No. 209/2009). The participants received detailed information about the study and signed the free informed consent form.

RESULTS

The response rate was 90.1%, with 9.9% of losses. A total of 300 teachers aged 19 to 69 years (39.11 ± 10.18 years) participated in the study. Most teachers (72.7%) were women with higher education (85.5%). The mean monthly income of the participants was R$ 2,001.74 ± 1,076.22.

The overall mean BMI was 24.93 (± 4.38) kg/m2. The mean BMI of men was 26.39 (± 4.14) kg/m2 and the BMI of women was 24.35 (± 4.36) kg/m2. The overall prevalence of overweight/obesity was 47.2%. Table 1 shows the prevalence of overweight/obesity according to sociodemographic characteristics. Most overweight/obese subjects were older than 39 years, were men, reported mulatto or white race/skin color, and had a higher monthly income.

Table 1
Prevalence (%) of overweight/obesity according to the sociodemographic characteristics of the teachers studied (Jequié, 2010).

Table 2 shows the prevalence of overweight/obesity according to occupational characteristics and lifestyle habits. A high prevalence of overweight/obesity was observed among subjects with a weekly workload of > 20 hours, a permanent contract and a number of classes ≤ 6, insufficiently active subjects, and subjects who have at least 5 meals per day and who do not consume fruits and vegetables or fatty foods regularly. Despite the high prevalence, only the type of employment and consumption of fruits and vegetables showed statistical significance.

Table 2
Prevalence (%) of overweight/obesity according to occupational characteristics and lifestyle habits (Jequié, 2010).
Table 3
Prevalence ratio and crude and adjusted confidence intervals between the prevalence of overweight/ obesity and the variables studied (Jequié, 2010).

After multivariate analysis (Table 4), only gender (p=0.002), income (p=0.05), and consumption of fruits and vegetables (p=0.044) continued to be associated with overweight/obesity.

DISCUSSION

The results of the present study show a high prevalence of overweight/ obesity in the population studied (47.2%). This prevalence was more pronounced among men and among subjects who reported a lack of regular consumption of fruits and vegetables.

A high prevalence of overweight/obesity is a trend observed in different populations1111 Santos MN, Marques AC. Health conditions, lifestyles and occupational characteristics of teachers in a city in southern Brazil. Cien Health Colet 2013;18(3): 837-46.,1414 Reis EJFB, Araújo TM, Carvalho FM, Barbalho L, Silva MO. Teaching and emotional exhaustion. Educação Sociedade 2006; 27(94): 229-53.,2020 Pirzadeh A, Sharifirad G, Kamran A. Healthy lifestyle in teachers. J Educ Health Promot 2012; 1:46.. In Brazil, data from the Vigitel survey involving adults with a fixed telephone from 27 Brazilian cities showed a high prevalence of overweight/obesity (48.5%). For the teacher population, this prevalence ranged from 51.04% in a study of teachers from the Federal University of Viçosa, Minas Gerais,2121 Jayawardena R, Byrne NM, Soares MJ, Katulanda P, Yadav B, Hills HP. High dietary diversity is associated with obesity in Sri Lankan adults: an evaluation of three dietary scores. BMC Public Health 2013; 13: 314. to 60% among teachers from the Nursing School of the Federal University of Minas Gerais, Belo Horizonte2222 Dauchet L, Amouyel P, Hereberg S, Dallongeville J. Fruit and vegetable consumption and risk of coronary heart disease: A meta-analysis of cohort studies. J Nutr 2006; 136(10): 2588-93.. The present results agree with the literature findings in terms of the prevalence of overweight/obesity in the general population and are similar to those found for teachers.

The increase in the prevalence of excess weight and its characterization as a public health problem in developing countries such as Brazil is a situation observed since the last decades of the 20th century. This morbidity exhibits multifactorial characteristics including genetic and behavioral factors. Some hypotheses have been raised in an attempt to explain this increase of obesity in Brazil. One hypothesis suggests that the modernization of the country, including expansion of the service sector and an increased offer of jobs associated with low energy expenditure, is related to changes in physical activity, and the reduction in physical activity is a determinant factor of nutritional profile alterations2323 Gigante DP, Minten GC, Horta BL, Barros FC, Victora CG. Nutritional evaluation follow-up of the 1982 birth cohort, Pelotas, Southern Brazil. Rev Saude Publica 2008; 42(Suppl 2): 60-9.. Furthermore, changes in energy expenditure would also be related to dietary factors such as a reduction in fiber intake and an increase in the consumption of fats and sugars2323 Gigante DP, Minten GC, Horta BL, Barros FC, Victora CG. Nutritional evaluation follow-up of the 1982 birth cohort, Pelotas, Southern Brazil. Rev Saude Publica 2008; 42(Suppl 2): 60-9..

In the present study, the prevalence of overweight/obesity was higher among men. Studies conducted in Brazil66 Alwan A, Maclean DR, Riley LM, d'Espaignet E, Mathers CD, Stevens GA, et al. Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries. Lancet 2010; 376 (9755): 1861-8. and in other countries such as Greece2020 Pirzadeh A, Sharifirad G, Kamran A. Healthy lifestyle in teachers. J Educ Health Promot 2012; 1:46. and Spain2424 Monteiro CA, Conde WL, Castro IRR de. The changing relationship between education and risk of obesity in Brazil (1975-1997). Cad Saude Pub 2003; 19 (Suppl 1):67-75. also identified a higher prevalence of overweight/ obesity in the male population. Results of the Vigitel study33 Ministério da saúde (MS). Surveillance of risk-factors for chronic diseases through telephone 2011. Available at: http://portalsaude.saude.gov.br/portalsaude/arquivos/pdf/2012/Ago/22/vigitel_2011_final_0812.pdf[17 abr. 2014].
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highlight that obesity is more frequent among men, especially younger men. Specifically among teachers, an increase in the prevalence of excess weight among men has been observed in studies conducted in Brazil2121 Jayawardena R, Byrne NM, Soares MJ, Katulanda P, Yadav B, Hills HP. High dietary diversity is associated with obesity in Sri Lankan adults: an evaluation of three dietary scores. BMC Public Health 2013; 13: 314.,2222 Dauchet L, Amouyel P, Hereberg S, Dallongeville J. Fruit and vegetable consumption and risk of coronary heart disease: A meta-analysis of cohort studies. J Nutr 2006; 136(10): 2588-93. and in other countries2525 Monteiro CA, Conde WL, Popkin BM. Independent effects of income and education on the risk of obesity in the Brazilian adult population. J Nutr 2001;131(3):881S.. In a study using data from the adult Brazilian population, Conde and Borges1515 Conde WL, Oliveira DR, Borges CA, Baraldi LG. Consistency between anthropometric measures in national surveys. Rev Saude Publica 2013; 47(1): 69-76.emphasize that the incidence of obesity is higher among men, particularly among men who are pre-obese at the age of 20. The persistence of obesity is also more frequent in men, especially among younger ones. The incidence or persistence of obesity in adults is associated with the development of chronic diseases and an increased risk of early mortality2727 World Health Organization. Obesity: preventing and managing the global epidemic. World Health Organization; 2000. Available at: http://www.who.int/nutrition/ publications/obesity/en/ [2014 fev. 03]
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.

The relationship between eating behavior and overweight/obesity is well documented in the literature2828 Pinheiro ARO, Freitas SFT, Corso ACT. An epidemiological approach to obesity. Rev Nutr 2004 ;17(4):523-33.,2929 Conde WL, Borges C. The risk of incidence and persistence of obesity among Brazilian adults according to their nutritional status at the end of adolescence. Rev Bras Epidemiol 2011; 14(Suppl1) 71-9.. In the present study, the prevalence of overweight/obesity was lower among subjects consuming vegetables and fruits, in agreement with other studies1212 Oliveira DA. The restructuring of teaching: precariousness and flexibility. Educ Soc 2004; 25(89): 1127-44,1313 Silva LG, Silva MC. Working and health conditions of preschool teachers of the public school network of Pelotas, State of Rio Grande do Sul, Brazil. Cien Saude Colet 2013; 18(11): 3137-46.. Fruits and vegetables comprise the food group that most contributes to weight control and the prevention of diseases. The adequate intake of these foods reduces the risk of chronic diseases2929 Conde WL, Borges C. The risk of incidence and persistence of obesity among Brazilian adults according to their nutritional status at the end of adolescence. Rev Bras Epidemiol 2011; 14(Suppl1) 71-9.. These results highlight the importance of the implementation and maintenance of adequate eating behaviors for teachers, as well as of knowledge about dietary profiles. The latter should contribute to a better understanding of the overweight/obesity epidemic in adults and to the planning of obesity prevention policies.

Therefore, the high prevalence of overweight/obesity among teachers observed in the present study indicates the need for preventive and control measures of this morbidity in order to prevent the negative consequences of excess weight in the adult population99 Gomes MA, Borges LJ, Nascimento JV. Professional Development Series and the Quality of Physical Education Teachers of Life southwest Bahia. Rev Bras Physic Educ Sports. Leis Dance 2007; 2(4): 104-14.,3030 Ezzati M, Lopez AD, Rodgers A, Vander Hoorn S, Murray CJL. Selected major risk factors and global and regional burden of disease. Lancet 2002; 360(9343):1347-60..

Some limitations of the study need to be mentioned, such as its cross-sectional design which does not permit to draw conclusions about the cause-effect relationships between the prevalence of overweight/obesity and the variables studied, especially because of the difficulty in establishing temporality. Another important aspect is the fact that formal work already denotes a process of selection of workers with adequate health. Furthermore, workers on sick leave were excluded. These procedures may indicate possible bias of the study related to the healthy worker effect.

However, despite these possible limitations, the study investigated a large number of subjects employing procedures of data collection and analysis widely used in the literature. The basis found in the literature demonstrates that the present results support evidence of explanatory models of the prevalence of excess weight in the population, providing useful information for teacher healthcare actions.

CONCLUSION

The prevalence of overweight/obesity was high among the teachers studied, particularly among men and subjects consuming less fruits and vegetables. Nutrition education actions designed to encourage the consumption of fruits and vegetables in the teacher population are recommended. These actions could be incorporated in the school routine in such a way that would favor body weight control and consequently reduce the risk of diseases associated with excess weight in this population.

REFERENCES

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    » http://apps.who.int/iris/bitstream/10665/44844/1/9789241564441_eng.pdf?ua=1
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    Barceló A, Peláez M, Rodriguez-Wong L, Pastor-Valero M. The prevalence of diagnosed diabetes among the elderly of seven cities in Latin America and the Caribbean: the Health Wellbeing and Aging (SABE) Project. J Aging Health 2006; 18(2): 224-39.
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    Pego-Fernandes PM, Bibas BJ, Deboni M. Obesity: the greatest epidemic of the 21st century? Sao Paulo Med J. 2011; 129(5): 283-4.
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    Alwan A, Maclean DR, Riley LM, d'Espaignet E, Mathers CD, Stevens GA, et al. Monitoring and surveillance of chronic non-communicable diseases: progress and capacity in high-burden countries. Lancet 2010; 376 (9755): 1861-8.
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    Braveman P, Egerter S, Williams DR. The Social Determinants of Health: Coming of Age. Annu Rev Public Health 2011; 32: 381-98.
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    Gomes MA, Borges LJ, Nascimento JV. Professional Development Series and the Quality of Physical Education Teachers of Life southwest Bahia. Rev Bras Physic Educ Sports. Leis Dance 2007; 2(4): 104-14.
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    Moreira HR, Nascimento JV, Sonoo CN, Both J. Quality of life of teaching in Physical Education of Parana state, Brazil. Bras J. Rev Bras Kineanthropom Human Perf 2010; 12(6): 435-42.
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    Santos MN, Marques AC. Health conditions, lifestyles and occupational characteristics of teachers in a city in southern Brazil. Cien Health Colet 2013;18(3): 837-46.
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    Oliveira DA. The restructuring of teaching: precariousness and flexibility. Educ Soc 2004; 25(89): 1127-44
  • 13
    Silva LG, Silva MC. Working and health conditions of preschool teachers of the public school network of Pelotas, State of Rio Grande do Sul, Brazil. Cien Saude Colet 2013; 18(11): 3137-46.
  • 14
    Reis EJFB, Araújo TM, Carvalho FM, Barbalho L, Silva MO. Teaching and emotional exhaustion. Educação Sociedade 2006; 27(94): 229-53.
  • 15
    Conde WL, Oliveira DR, Borges CA, Baraldi LG. Consistency between anthropometric measures in national surveys. Rev Saude Publica 2013; 47(1): 69-76.
  • 16
    Tzotzas T, Vlahavas G, Papadopoulou SK, Kapantais E, Kaklamanou D, Hassapidou M. Marital status and educational level associated to obesity in Greek adults: data from the National Epidemiological Survey. BMC Public Health 2010; 10: 732
  • 17
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Publication Dates

  • Publication in this collection
    Jul-Aug 2015

History

  • Received
    07 Mar 2014
  • Accepted
    22 Jan 2015
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