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IJE Advance Access published online on September 10, 2007

International Journal of Epidemiology, doi:10.1093/ije/dym177
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Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2007; all rights reserved.

Cohort Profile: The 1993 Pelotas (Brazil) Birth Cohort Study

Cesar G Victora1,*, Pedro C Hallal1, Cora L P Araújo1, Ana M B Menezes1, Jonathan C K Wells2 and Fernando C Barros3

1Universidade Federal de Pelotas, Brazil.
2Childhood Nutrition Centre, Institute of Child Health, UK.
3PAHO/WHO Latin American Centre for Perinatology, Uruguay.

* Corresponding author. Rua Marechal Deodoro, 1160-3° andar. Pelotas, RS, 96020–220, Brazil. E-mail: cvictora{at}terra.com.br

Accepted 8 August 2007


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In 1982, a birth cohort study1 was initiated in Pelotas, a Southern Brazilian city with a current population of 323 000 inhabitants. It started as a perinatal survey and later became one of the largest and longest running birth cohorts in the developing world.2 With the success of this initial study, our group decided to propose a second birth cohort, to be launched 10 years later. Due to delayed funding, the new cohort could only start in 1993.3 Funding for the new cohort was obtained from the European Economic Commission, in a collaboration that included the London School of Hygiene and Tropical Medicine and the Escuela Andaluza de Salud Publica from Granada.

In the late 80s and early 90s, the hypothesis that intrauterine, infant and child growth could affect long-term health outcomes gained widespread attention.4,5 The beneficial effects of breastfeeding were also becoming more evident.6 To better describe growth and feeding patterns, we opted to examine infants on several occasions, at the ages of 1, 3, 6 and 12 months, differently from our 1982 cohort when the first home visit took place at the age of 9–15 months.3


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The original goals of the 1993 cohort were to evaluate trends in maternal and child health indicators, through a comparison with results of the 1982 study; to assess associations between early life variables and later outcomes, with particular emphasis on the detection of critical windows; and to improve data quality, using the lessons learned from the 1982 study.3

The 1982 cohort was focused on health problems affecting children from developing countries. Our infant mortality rate was close to 40 per thousand at that time, infectious diseases—such as diarrhoea, measles and pneumonia—were common, and malnutrition prevalence was high. These variables were also measured in 1993, but by then it had become clear that Brazil was undergoing rapid epidemiological and nutrition transitions. As a consequence, exposures and outcomes related to chronic diseases were also measured in the new cohort.

Deaths were monitored actively during 1993 and 1994, including regular visits to all hospitals, cemeteries, offices of civil registrations and local health authorities. Since 1994, the Brazilian official mortality registration system—whose coverage in Pelotas is universal—has been monitored.3

Due to budgetary and logistic constraints, all visits in infancy and childhood were restricted to sub-samples of the cohort.3 In the visits during the first year of life, particular attention was given to collecting detailed feeding information in all visits. Since we needed to understand the reasons behind breastfeeding choices, a sub-sample of 80 mothers was selected for an in-depth ethnographic study with repeated visits. Psychomotor development, morbidity patterns and use of medicines were also evaluated. A detailed sub-study on hospital admissions took place in the first year of the cohort.3

Visits carried out in late childhood addressed conditions associated with the nutrition and epidemiological transitions. At 4 years of age, special attention was given to psychomotor development, asthma and injuries. At 6 years of age, sub-studies investigated asthma and oral health. At 9 years of age, a sub-study on body composition and symmetry was carried out.

In early adolescence (11 years of age), the first attempt to locate all cohort members took place. The questionnaire covered risk factors for chronic diseases, schooling, lifestyle, morbidity, family and socioeconomic conditions. Four sub-studies were carried out: an ethnographic study; an oral health survey; a study on intellectual development and mental health; and a body composition and physical activity survey.

Because Brazil is consistently ranked among the 10 countries with the greatest socioeconomic inequalities in the world,7 and because our cohort included children from every social stratum, special emphasis is given to the social determinants of health in the 1993 cohort.8


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During the whole of 1993, all maternity hospitals in the city were visited daily and 5265 births from women living in the city were recorded. Of these, 5249 agreed to take part in the longitudinal study; 50.3% were female, 18.4% belonged to very poor families (less than US$ 100 per month), 9.8% presented low birth weight, 10.8% were born pre-term and 30.5% were delivered through caesarean sections.


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Previous publications3,9 provide detailed information on the follow-up visits. For the 1- and 3-month visits, a systematic sample of 13% of the cohort participants was selected. At 6 months, 1 and 4 years, a more complex sampling scheme was used: all low-birthweight children plus 20% of the remaining – including those visited at 1 and 3 months—were sampled. At 11 years, all cohort members were sought. The number of eligible subjects for each visit and the corresponding attrition rates are shown in Table 1.


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Table 1 Number of eligible subjects and losses to follow-up for each visit of the 1993 Pelotas (Brazil) birth cohort study

 
A lesson learned with the 1982 cohort was that very detailed contact information should be updated at every visit. We collected information on the address of the family and of two friends or relatives, as well as their telephone numbers. We also recorded the workplace of the parents (employer, address, telephone), and information on whether or not they were planning to move homes in the near future. This is particularly relevant in Pelotas, because a previous analysis of the 1982 cohort indicated that 45% of the families had already changed addresses within a couple of years after birth.

From 4 to 11 years, no visits (other than the above-mentioned sub-studies) were carried out. In 2004, a major grant was obtained from the Wellcome Trust for a 5-year period, and two follow-up visits to all cohort members, at 11 and 15 years of age, were planned in 2004 and 2008, respectively. These are the first visits since the perinatal period for the majority of the cohort, because earlier visits were restricted to sub-samples of less than 1500 children. Several strategies were used in 2004 to guarantee high follow-up rates. The main approaches included a school census, in which the registries of over 100 schools in the city were reviewed and a city-wide census, in which all 98 000 households in the city were visited. In both, we obtained the names and date of birth of subjects born in 1993, and later tried to match them to their birth records. From 1993 to 2005, the mortality system detected 141 deaths in the cohort. For those who had not been located in the two censuses and were not known to have died, additional approaches were used, including visits to their last known address, information from other cohort participants and media campaigns.

In all phases of the cohort, attrition was studied in relation to baseline characteristics.

Table 2 shows that, in the 11-year visit, follow-up rates did not vary according to sex and birthweight. Subjects from lower socioeconomic level—according to either family income or maternal schooling—were more likely to be traced, although the differences were not substantial; at least 79.9% of all children in each subgroup were traced in 2004.


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Table 2 Follow-up rates according to key baseline characteristics

 

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Table 3 summarizes the variables included in each follow-up visit. The study database includes over 2500 variables, searchable by topic or by the visit when the data were collected. The variables are named according to the visit: all perinatal variables start with the letter ‘a’, 1-month variables start with ‘b’ and so on. The study database is available in Stata and SPSS formats. The questionnaires and interviewer guides from all follow-up visits are available in electronic and paper formats.


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Table 3 Variables collected in the main follow-up visits of the 1993 Pelotas (Brazil) birth cohort study

 
In all phases of the study, ethical approval was obtained from the Federal University of Pelotas Medical School Ethics Committee. Written informed consent was obtained from parents or guardians at every visit.


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Results from this 11-year-old cohort have concentrated on three main themes. The first is the comparison of maternal and child health indicators with those from the 1982 cohort to assess time trends. These comparisons were initially published as a supplement to the Brazilian journal Reports in Public Health.9 We find it important to publish results in Portuguese as well as in English, because many Brazilian practitioners and policymakers have limited knowledge of English. Overall, there was substantial progress between 1982 and 1993, in terms of family socioeconomic status, maternal education, water supply and sanitation. The 1993 mothers were on average 2.5 kg heavier and 3.4 cm taller than the 1982 mothers.10 There were also substantial improvements in antenatal and delivery care as a whole, but the caesarean section rate increased from 28% to 31%. There was a slight increase in low birthweight (from 9.0% to 9.8%) and a marked on in preterm deliveries (from 6% to 11%), but the infant mortality rate fell from 36 to 21 per thousand.10 Other secular trends observed through the comparison of the two cohorts were a slight increase in the median duration of breastfeeding (from 3.1 to 4 months).11 The prevalence of weight/age deficits (underweight) at 1 year fell from 5.4% to 3.8% in the period, while stunting (low length/age) remained stable at around 5%, and obesity increased from 4.0% to 6.7%, suggesting that the obesity epidemic being faced by Latin America can be detected as early as in infancy.12 Regarding morbidity, the most striking finding was a sharp reduction in the proportion of children admitted to a hospital with diarrhoea in the first year of life, which dropped from ~6% in 1982 to 3% in 1993, in parallel to a reduction in diarrhoea mortality.9

Important social inequalities were observed for nearly all indicators in both cohorts. For example, 1993 children from the poorest socioeconomic level were 6.2 times more likely to die in the first year of life in comparison to those in the richest group,13 a similar ratio to that observed 11 years earlier. Using a comparison of time trends in the two cohorts, as well as data from other Brazilian studies, we proposed in 2000 the ‘inverse equity hypothesis’, that helps explain why inequalities in health may increase or decrease over time, according to the speed with which new medical interventions reach different social strata in the population.8 So far, this is the most widely cited paper coming out of the cohort.

The second set of studies addressed issues related to maternal and child health issues within the 1993 cohort. These include studies on the following topics:

  1. The association between parental smoking and infant outcomes, with the interesting finding that paternal—as well as maternal—smoking was associated with shorter breastfeeding duration.14
  2. The inverse association between breastfeeding duration and use of medicines in the first year of life.15
  3. The lack of association between pacifier use and psychomotor development, in contrast to a clear association between breastfeeding and development.16,17
  4. The association between cesarean sections and early interruption of breastfeeding, although there was no association with its mean duration.18
  5. The role of poverty in contributing to hospital admissions due to pneumonia.19
  6. The very strong protection afforded by breastfeeding against such admissions.19
  7. The inverse association between newborn anthropometry (birth length and ponderal index) and indicators of morbidity and mortality in the first years of life.20
  8. Wheezing at 4 years of life and its association with bronchiolitis admissions in infancy.21
  9. The lack of association between breastfeeding history and overweight or obesity at 4 years.22
  10. The epidemiology of childhood injuries and associated risk factors, particularly male sex and day care attendance.23
  11. The higher risk of mortality, morbidity and undernutrition for black children compared with whites even after adjustment for socioeconomic indicators.24
  12. Social and biological factors associated with the occurrence of acute respiratory infection and otitis media up to the age of 6 months.25

Two other studies were published at this time that used a combination of results from the epidemiological and ethnographic studies. We described a strong association between pacifier use and shorter breastfeeding duration and used ethnographic methods to show that this seemed to be largely due to self-selection by mothers, concluding that efforts to reduce pacifier use ‘will fail unless they also help women face the challenges of nursing and address their anxieties’26—a finding that predicted the negative results of randomized trials on this topic published later.27,28

A similar combination of qualitative and quantitative methods was used to understand why many women from different social classes prefer caesarean sections to normal delivery, and how this preference affects the final decision on the type of delivery and contributes to the major epidemic of caesarean sections in our country.29

The most recent publications from the cohort are focused on risk factors for chronic disease measured in adolescence. Our main findings were:

  1. Birthweight and weight gain in the first 6 months of life were directly associated with height and lean mass at 9 years, while weight gain after infancy tended to be associated with fat mass deposition.30
  2. Also at 9 years of age, fluctuating asymmetry was associated with rapid weight gain in infancy but not with fetal growth.31
  3. At 11 years, 58% of the adolescents had sedentary lifestyles; those from poor families were less likely to engage in formal and leisure-time physical activities, but more likely to engage in informal and transport-related physical activity.32,33
  4. Variables that—according to the literature—are associated with increased with later risk of chronic diseases (low birth weight and rapid weight gain in childhood) are not associated with low levels of physical activity in adolescence, suggesting that a sedentary lifestyle is not a pathway through which such variables affect adult health.32
  5. At the age of 11 years, only 3.7% of the cohort members reported having experimented smoking. Maternal smoking during pregnancy and low family income were risk factors for experimentation.34
  6. Blood pressure levels in adolescence were positively associated with birth length, but not with birth weight.35
  7. At 11 years, 13.5% of the cohort participants were current wheezers, and risk factors varied considerably between boys and girls.36


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The main strengths of the cohort include its population base and the low rate of attrition, with 87.5% follow-up after 11 years. The cohort includes all social classes represented in the city, thus allowing detailed investigation of social inequalities. It also allows the study of time trends in child, adolescent and adult health through the comparison with the previous (1982)1 and subsequent (2004)37 birth cohorts, that used similar methodologies. Another positive point is its multi-disciplinary scope, epidemiology, statistics, paediatrics and clinical medicine, anthropology, dentistry, psychology, exercise physiology and nutrition. Finally, although early growth is increasingly shown to be important for later health in all populations, study findings are often inconsistent between cohorts from high-income countries, compared with those from low or middle-income countries. Therefore, cohort studies from industrialized countries may not offer an appropriate evidence base for global public health policies.

Our main drawbacks were related to a lack of continuous funding to allow for more frequent visits to the whole cohort. There were only seven main visits (not including sub-studies) in an 11-year period, and only two of these—at birth and at 11 years of age—attempted to examine the whole cohort. Information on important variables, such as breastfeeding duration and anthropometry in infancy and childhood, are available only for a sub-sample of subjects. Therefore, low statistical power may be an issue in some of the analyses.


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We welcome joint analyses of the cohort data. We have collaborated successfully with investigators from the UK (London School of Hygiene and Tropical Medicine, Institute of Child Health, MRC Epidemiology Unit, Cambridge), USA (Cornell, Emory and Michigan Universities) and Australia (University of Newcastle) as well as several Brazilian institutions and the World Health Organization.

In our experience, there are limits to collaboration at a distance that often requires substantial involvement of our own staff. We much prefer investigators from other institutions to spend some time in Pelotas, and help build local capacity in the process. This has been particularly successful with doctoral or post-doctoral fellows. For interested young researchers from Latin America, we launched a Wellcome-Trust sponsored post-graduate programme in Life Course Epidemiology in 2005 which has so far trained nine MSc and two PhD students from the region, who receive full scholarships to work in our cohorts. For further information contact our website at http://www.epidemio-ufpel.org.br/projetos_de_pesquisas/estudos/coorte_1993 or e-mail the corresponding author.


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The cohort is currently supported by the Wellcome Trust initiative entitled Major Awards for Latin America on Health Consequences of Population Change. Earlier phases of the 1993 cohort study the European Union, the National Program for Centers of Excellence (Brazil), the National Research Council (Brazil) and the Ministry of Health (Brazil). Prof. J Patrick Vaughan and Dr Dominique Behague of the London School of Hygiene and Tropical Medicine and Dr Maria del Mar Garcia of the Escuela Andaluza de Salud Publica participated in the early phases of the study. Jonathan Wells from the University College of London and Ulf Ekelund from the Cambridge University have contributed to recent sub-studies. Brazilian colleagues who contributed to the study included Bernardo Horta, Denise Gigante, Elaine Albernaz Elisabete Weiderpass, Felipe Reichert, Helen Gonçalves, Joao Amaral, Juraci Cesar, Karen Peres, Marco Peres, Maria de Fatima Vieira, Marilda Neutzling, Moema Chatkin, Neiva Valle, Ricardo Halpern and Silvia Fonseca.


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1 Victora CG, Barros FC. Cohort profile: the 1982 Pelotas (Brazil) birth cohort study. Int J Epidemiol (2006) 35:237–42.[Free Full Text]

2 Harpham T, Huttly S, Wilson I, de Wet T. Linking public issues with private troubles: panel studies in developing countries. J Int Dev (2003) 15:353–63.[CrossRef]

3 Victora CG, Araujo CL, Menezes AM, et al. Methodological aspects of the 1993 Pelotas (Brazil) Birth Cohort Study. Rev Saude Publica (2006) 40:39–46.[Web of Science][Medline]

4 Lucas A. Programming by early nutrition in man. Ciba Found Symp (1991) 156:38–50. discussion 50–5.[Medline]

5 Barker DJ, Gluckman PD, Godfrey KM, Harding JE, Owens JA, Robinson JS. Fetal nutrition and cardiovascular disease in adult life. Lancet (1993) 341:938–41.[CrossRef][Web of Science][Medline]

6 Victora CG, Smith PG, Vaughan JP, et al. Evidence for protection by breast-feeding against infant deaths from infectious diseases in Brazil. Lancet (1987) 2:319–22.[Web of Science][Medline]

7 UNDP. Human Development Report 2006. (2006).

8 Victora CG, Vaughan JP, Barros FC, Silva AC, Tomasi E. Explaining trends in inequities: evidence from Brazilian child health studies. Lancet (2000) 356:1093–98.[CrossRef][Web of Science][Medline]

9 Victora CG, Barros FC, Halpern R, et al. Longitudinal study of the mother and child population in an urban region of southern Brazil, 1993: methodological aspects and preliminary results. Rev Saude Publica (1996) 30:34–45.[Web of Science][Medline]

10 Barros FC, Victora CG, Barros AJ, et al. The challenge of reducing neonatal mortality in middle-income countries: findings from three Brazilian birth cohorts in 1982, 1993, and 2004. Lancet (2005) 365:847–54.[CrossRef][Web of Science][Medline]

11 Horta BL, Olinto MT, Victora CG, Barros FC, Guimaraes PR. Breastfeeding and feeding patterns in two cohorts of children in southern Brazil: trends and differences. Cad Saude Publica (1996) 12(Suppl. 1):43–48.

12 Post CL, Victora CG, Barros FC, Horta BL, Guimaraes PR. Infant malnutrition and obesity in two population-based birth cohort studies in southern Brazil: trends and differences. Cad Saude Publica (1996) 12(Suppl. 1):49–57.[Medline]

13 Menezes AM, Hallal PC, Santos IS, Victora CG, Barros FC. Infant mortality in Pelotas, Brazil: a comparison of risk factors in two birth cohorts. Rev Panam Salud Publica (2005) 18:439–46.[Web of Science][Medline]

14 Horta BL, Victora CG, Menezes AM, Barros FC. Environmental tobacco smoke and breastfeeding duration. Am J Epidemiol (1997) 146:128–33.[Abstract/Free Full Text]

15 Weiderpass E, Beria JU, Barros FC, Victora CG, Tomasi E, Halpern R. Epidemiology of drug use during the first three months of life in a urban area of southern Brazil. Rev Saude Publica (1998) 32:335–44.[Web of Science][Medline]

16 Halpern R, Barros FC, Horta BL, Victora CG. Developmental status at 12 months of age in a cohort of children in southern Brazil: differences according birthweight and family income. Cad Saude Publica (1996) 12(Suppl. 1):73–78.[Medline]

17 Halpern R, Giugliani ER, Victora CG, Barros FC, Horta BL. Risk factors for suspicion of developmental delays at 12 months of age. J Pediatr (Rio J) (2000) 76:421–28.[Medline]

18 Barros FC, Victora CG, Semer TC, Tonioli Filho S, Tomasi E, Weiderpass E. Use of pacifiers is associated with decreased breast-feeding duration. Pediatrics (1995) 95:497–99.[Abstract/Free Full Text]

19 Cesar JA, Victora CG, Santos IS, et al. Hospitalization due to pneumonia: the influence of socioeconomic and pregnancy factors in a cohort of children in Southern Brazil. Rev Saude Publica (1997) 31:53–61.[Web of Science][Medline]

20 Morris SS, Victora CG, Barros FC, et al. Length and ponderal index at birth: associations with mortality, hospitalizations, development and post-natal growth in Brazilian infants. Int J Epidemiol (1998) 27:242–47.[Abstract/Free Full Text]

21 Albernaz EP, Menezes AM, Cesar JA, Victora CG, Barros FC. Hospitalization for bronchiolitis: a risk factor for recurrent wheezing. Cad Saude Publica (2000) 16:1049–57.[Medline]

22 Araujo CL, Victora CG, Hallal PC, Gigante DP. Breastfeeding and overweight in childhood: evidence from the Pelotas 1993 birth cohort study. Int J Obes (2006) 30:500–6.[CrossRef][Web of Science][Medline]

23 Fonseca SS, Victora CG, Halpern R, et al. Risk factors for accidental injuries in preschool children. J Pediatr (Rio J) (2002) 78:97–104.[Medline]

24 Barros FC, Victora CG, Horta BL. Ethnicity and infant health in Southern Brazil. A birth cohort study. Int J Epidemiol (2001) 30:1001–8.[Abstract/Free Full Text]

25 Barros AJ. Child-care attendance and common morbidity: evidence of association in the literature and questions of design. Rev Saude Publica (1999) 33:98–106.[Web of Science][Medline]

26 Victora CG, Behague DP, Barros FC, Olinto MT, Weiderpass E. Pacifier use and short breastfeeding duration: cause, consequence, or coincidence? Pediatrics (1997) 99:445–53.[Abstract/Free Full Text]

27 Kramer MS, Barr RG, Dagenais S, et al. Pacifier use, early weaning, and cry/fuss behavior: a randomized controlled trial. JAMA (2001) 286:322–26.[Abstract/Free Full Text]

28 Howard CR, Howard FM, Lanphear B, et al. Randomized clinical trial of pacifier use and bottle-feeding or cupfeeding and their effect on breastfeeding. Pediatrics (2003) 111:511–18.[Abstract/Free Full Text]

29 Behague DP, Victora CG, Barros FC. Consumer demand for caesarean sections in Brazil: informed decision making, patient choice, or social inequality? A population based birth cohort study linking ethnographic and epidemiological methods. Br Med J (2002) 324:942–45.[Abstract/Free Full Text]

30 Wells JC, Hallal PC, Wright A, Singhal A, Victora CG. Fetal, infant and childhood growth: relationships with body composition in Brazilian boys aged 9 years. Int J Obes (2005) 29:1192–98.[CrossRef][Web of Science][Medline]

31 Wells JC, Hallal PC, Manning JT, Victora CG. A trade-off between early growth rate and fluctuating asymmetry in Brazilian boys. Ann Hum Biol (2006) 33:112–24.[CrossRef][Web of Science][Medline]

32 Hallal PC, Wells JC, Reichert FF, Anselmi L, Victora CG. Early determinants of physical activity in adolescence: prospective birth cohort study. Br Med J (2006) 332:1002–7.[Abstract/Free Full Text]

33 Hallal PC, Bertoldi AD, Goncalves H, Victora CG. Prevalence of sedentary lifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saude Publica (2006) 22:1277–87.[Medline]

34 Menezes AM, Goncalves H, Anselmi L, Hallal PC, Araujo CL. Smoking in early adolescence: evidence from the 1993 Pelotas (Brazil) Birth Cohort Study. J Adolesc Health (2006) 39:669–77.[CrossRef][Web of Science][Medline]

35 Menezes AM, Hallal PC, Horta BL, et al. Size at birth and blood pressure in early adolescence: a prospective birth cohort study. Am J Epidemiol (2007) 165:611–16.[Abstract/Free Full Text]

36 Menezes AM, Hallal PC, Muino A, Chatkin M, Araujo CL, Barros FC. Risk factors for wheezing in early adolescence: a prospective birth cohort study in Brazil. Ann Allergy Asthma Immunol (2007) 98:427–31.[Web of Science][Medline]

37 Barros AJ, da Silva dos Santos I, Victora CG, et al. The 2004 Pelotas birth cohort: methods and description. Rev Saude Publica (2006) 40:402–13.[Web of Science][Medline]


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