- Citado por Google
- Similares em SciELO
- Similares em Google
versão On-line ISSN 1678-4464
Cad. Saúde Pública vol.25 supl.3 Rio de Janeiro 2009
Fatores de risco não clássicos para diabetes mellitus gestacional: uma revisão sistemática da literatura
Maria Alice Souza de Oliveira Dode; Iná S. dos Santos
Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brasil
Age, obesity and family history of diabetes are well known risk factors for gestational diabetes mellitus. Others are more controversial. The objective of this review is to find evidence in the literature that justifies the inclusion of these other conditions among risk factors. The MEDLINE, Cochrane, LILACS and Pan American Health Organization databases were searched, covering articles dating from between 1992 and 2006. Keywords were used in combination (AND) with gestational diabetes mellitus separately and with each one of the risk factors studied. The methodological quality of the studies included was assessed, resulting in the selection of 41 papers. Most studies investigating maternal history of low birth weight, low stature, and low level of physical activity have found positive associations with gestational diabetes mellitus. Low socioeconomic levels, smoking during pregnancy, high parity, belonging to minority groups, and excessive weight gain during pregnancy presented conflicting results. Publication bias cannot be ruled out. Standardization of techniques, cutoff points for screening and diagnosis, as well as studies involving larger sample sizes would allow future meta-analyses.
Gestational Diabetes; Diabetes Mellitus; Risk Factors
Idade, obesidade e história familiar de diabetes são fatores de risco bem conhecidos para diabetes mellitus gestacional. Outros são controversos. O objetivo desta revisão é encontrar evidências na literatura que justifiquem a inclusão dessas condições entre os fatores de risco. Bases de dados MEDLINE, Cochrane, LILACS e Organização Pan-Americana da Saúde foram procuradas. A revisão incluiu artigos de 1992 a 2006. Palavras-chave foram usadas em combinação com diabetes mellitus gestacional separadamente e com cada um dos fatores de risco estudados. A qualidade metodológica dos estudos incluídos foi medida, totalizando 41 estudos. A maioria dos trabalhos que investigaram história materna de baixo peso, baixa estatura e baixa atividade física encontrou associação positiva com diabetes mellitus gestacional. Baixo nível sócio-econômico, fumo durante a gestação, alta paridade, pertencer a minorias e excessivo ganho de peso apresentam resultados conflitantes. Padronização de técnicas, pontos de corte para rastreamento e diagnóstico, assim como estudos envolvendo maiores amostras podem permitir futuras metanálises.
Diabetes Gestacional; Diabetes Mellitus; Fatores de Risco
Gestational diabetes mellitus is a heterogeneous disorder characterized by intolerance to carbohydrates and hyperglycemia in varied degrees of intensity, with onset or first diagnosis during pregnancy 1. The pregnancy is a physiological situation of insulin resistance; therefore, it may be the first moment in a woman's life to test her capacity to respond to a physiological stress and to detect those at greater risk of developing diabetes in the future.
Several international guidelines 2,3,4,5,6 recommend selective screening for pregnant women older than 29 or for younger women with risk factors. Others advise universal screening 7. In Brazil, the Ministry of Health and the Work Group in Diabetes and Pregnancy (Grupo de Trabalho em Diabetes e Gravidez - GTDG) recommend that all pregnant women should be screened for gestational diabetes mellitus (through fasting glucose in the 20th week of gestation) and, in the presence of risk factors and regardless of the first result, that screening should be repeated in the third trimester 7,8.
Several risk factors for gestational diabetes mellitus such as older age, obesity and family history of diabetes are well known and discussed in the literature. Other factors are still controversial: low birth weight, short stature, smoking, multiparity, race or ethnicity, physical inactivity, gestational weight gain and socioeconomic factors.
The goal of this review is to evaluate the recent literature in order to establish whether all women presenting these conditions should be screened for gestational diabetes mellitus.
The search was made in the MEDLINE database and studies from between 1992 and 2006 were included. The keywords used in the search were the combination (AND) of gestational diabetes or pregnancy diabetes with each one of the following terms (in parenthesis are, respectively, the number of titles found with each one of the association, before eliminating the duplicates): birth weight (1,868; 2,847); low birth weight (798; 519); low birth size (45; 85); small birth size (53; 63); small for gestational age (525; 376); age (1,154; 2,860); obesity (335; 923); cigarette smoking (17; 45); weight increase (291; 451); weight gain (271; 374); body mass index (560; 738); height (165; 232); short stature (28; 25); anthropometry (437; 584); race (268; 380); ethnics (308; 404); family history of diabetes (199; 272); education (217; 426); economic level (12; 21); social and economic factors (14; 15); physical activity (97; 150); exercise (135; 226); and risk factors (1,365; 2,319) . The terms age, obesity and family history of diabetes mellitus were included in an attempt to identify other risk factors of interest for the current review.
After searching, 5,759 titles were indentified. The first selection was made through the reading of the titles. Criteria for article inclusion were: English, Portuguese, Spanish or French language; studies involving humans; and papers that evaluated gestational diabetes mellitus as an outcome and risk factors for its development. From the remaining 357 abstracts, 41 papers were selected. These selected papers studied one or more of the chosen risk factors and included gestational diabetes mellitus as outcome. Studies with animals and those that evaluated treatments for gestational diabetes mellitus were excluded.
The methodological quality of the selected papers was evaluated using the criteria suggested by Downs & Black 9. This is a checklist developed to assess the methodological quality not only of randomized controlled trials but also non-randomized studies. Using the criteria, it was possible to construct a profile of the paper, highlighting its methodological strengths and weaknesses. This checklist consisted of 27 items distributed across five sub-scales:
(1) Reporting (10 items): which assess whether the information provided in the paper was sufficient to allow a reader to make an unbiased assessment of the findings of the study;
(2) External validity (3 items): which reviews the extent to which the findings from the study could be generalized to the population from which the study subjects were derived;
(3) Bias (7 items): which address biases in the measurement of the intervention/exposition and the outcome;
(4) Confounding (6 items): which address bias in the selection of study subjects;
(5) Power (1 item): which attempts to assess if negative findings from a study could be due to chance.
In items 4, 14, and 15, "intervention" was interpreted as "exposure," and in nº. 19 "compliance with the intervention" was replaced by "avoidance of misclassification error of the exposure". Items 8, 13, 23, and 24 were not considered, since these are specific to clinical trials. Answers were scored 0 or 1, therefore, the highest score could be 23. The scores given to each paper and commentaries are shown in the Table 1. For each of the exposures, a funnel plot was drawn to evaluate publication bias. Because of the limited number of available studies in the literature for some of the exposures, it was only possible to plot the following: weight of the mother at birth, height and Asian ethnicity and Indian/Pakistani ethnicity.
Results and discussion
Table 1 presents alphabetically (by author) a summary of the studies included in the review. The methodological quality of studies ranged from 10 to 22 (median 18; SD = 2.9). The quality of reporting was good. Most of the studies (80%), however, lack information on representativeness. With regard to internal validity (items 14 to 27) the main weaknesses identified were lack of information on the methodology used for defining the outcome and adjustment for confounding. In addition, none of the studies presented information if the power was enough to detect the association between exposure and gestational diabetes mellitus; and characteristics of losses and refusals were neither presented nor discussed. The sections below present a summary of the publications on each of the potential risk factors and a discussion on methodological issues.
Since the fetal origin theory began to be discussed 10, stating that susceptibility to chronic diseases could be programmed in the uterus, studies have demonstrated an inverse association between birth weight and delayed risk of type 2 diabetes mellitus 11,12,13, insulin resistance 12,14 and other factors of metabolic syndrome 11,12,14.
Ten studies that evaluated such an association were identified. Plante 15, in 1998, found that women who were born "small for the gestational age" presented a fourfold risk of gestational diabetes mellitus. However, when analyzing the same cohort four years later (at the ages of 24 to 26), using the same methodology, they did not find statistical significance, although they did identify an inverse trend in the relationship between birth weight and gestational diabetes mellitus. In the second sample, there was a smaller number of pregnant women that had been born small for the gestational age 16. In both analyses, the authors had not adjusted for family history of diabetes mellitus, nor had separated the mothers who had been born with adequate weight from the ones that had been born large for gestational age. Large babies at birth, children of mothers with diabetes mellitus or gestational diabetes mellitus that were part of the comparison group, could dilute the effect of the association between low birth weight and gestational diabetes mellitus. Studies carried out with the Pima Indians from Arizona, United States 17, had shown a "U-shaped" association, small for the gestational age and large for gestational age women presented an increased risk of diabetes mellitus, but after controlling for family history of diabetes mellitus the association was no longer significant.
In 1999, a small Australian study by Moses et al. 18, examining pregnant women referred for medical management of their gestational diabetes mellitus, found that the mean 2-h glucose concentration at diagnosis of gestational diabetes mellitus presented a U-shaped association when women with gestational diabetes mellitus had been analyzed apart as three groups - small for gestational age, adequate for gestational age and large for gestational age. Among women diagnosed with gestational diabetes mellitus, the 2-h glucose level was higher among the small for gestational age group than in the adequate for gestational age group, which could suggest a higher insulin resistance between the small for gestational age women, however the association was not statistically significant. In the same year, Williams et al. 19, in a large study of pregnant women divided into four racial groups, (white non-Hispanic, Afro-American, Hispanic and Native-American) found twofold risks in the association between < 2,000g birth weight and gestational diabetes mellitus, for all groups, compared to 3,000-3,999g, even after adjustment for age, parity, marital status, health insurance, cigarette smoking and arterial hypertension, although in some categories, because of the small number of gestational diabetes mellitus, the association was not significant.
In 2000, Egeland et al. 20 studied a large retrospective cohort in Norway (138,714 pregnant women) and identified an inverse trend of gestational diabetes mellitus with birth weight and weight for gestational age (OR: 1.8; 95%CI: 1.1-3.0; and OR: 1.7; 95%CI: 1.2-2.5, respectively). The comparison was done between women with birth weight < 2,500g, compared to those weighing 4,000-4,500g as a reference group. The analyses were controlled for age, parity and history of diabetes mellitus of the mother of the pregnant woman.
Later in 2002, Innes et al. 21 carried out a study enrolling 23,395 pregnant women that were born in New York State in the Unites States. The adjusted analyses had strengthened the inverse dose-response relationship and the magnitude of the association between low birth weight and the risk of gestational diabetes mellitus between women born weighing less than 2,000g (OR: 4.23; 95%CI: 1.55-11.51) in relation to those born with 3,500-3,999g. The inverse association between birth weight and gestational diabetes mellitus was strong for women that were born preterm and those born at term. The adjusted analyses included age, primiparity, twins, and maternal complications of pregnancy during her own intrauterine life, such as preeclampsia/eclampsia and diabetes mellitus of her mother. Regarding the current pregnancy, the authors adjusted for socioeconomic and demographic variables (age, race, education, and occupation), height, pre-pregnancy body mass index (BMI) and weight gain.
In 2002, in Italy, Seghieri et al. 22 found a significant association between birth weight < 2,600g and gestational diabetes mellitus after adjustment for age, parity, family history of diabetes mellitus and pre-pregnancy BMI. The odds ratio to present gestational diabetes mellitus was nearly two times higher among women with birth weight < 2,600g, when compared to higher birth weights (OR: 1.89; 95%CI: 1.09-3.29).
A small study on the island of Malta 23, with 162 pregnant women diagnosed with gestational diabetes mellitus, from 1996 to 2001 that had information for birth weight and family history of diabetes mellitus, compared the characteristics of these mothers with population data through studies made between 1965 and 1981. Birth weights < 2,000g and > 4,500g had presented, respectively, crude OR of 2.79 and 2.73, compared to normal weight. As in previous studies 17, the association found between large for gestational age and gestational diabetes mellitus occurred particularly between women with a family history of diabetes mellitus and, especially, among those with maternal history of diabetes mellitus.
In Italy in 2003, Bo et al. 24, found that glucose tolerance decreases according to weight quartiles: 3,389±644; 3,184±583 and 3,077±661 respectively for normoglycemic, glucose intolerant and gestational diabetes mellitus pregnant women. When the analysis excluded pregnant women born to gestational diabetes mellitus mothers, a mean weight decrease was observed in all categories and among the gestational diabetes mellitus women the birth weight was 2,992±581 on average. When controlling for age, gestational age, maternal diabetes, pre-pregnancy BMI and weight gain, the OR were 3.7 (95%CI: 1.72-8.00).
The funnel plot (Figure 1) does not show evidence of publication bias. Conclusions from the available studies point out the importance of adjusting birth weight for family history of diabetes mellitus and especially for maternal diabetes mellitus, since the daughters of women who present gestational diabetes mellitus have greater risk to present high birth weights and strong genetic and/or environmental characteristics that increase the chance for gestational diabetes mellitus in their pregnancy. In this way, when comparing mean birth weight of mothers with and without gestational diabetes mellitus, those who were heavier at birth are probably born from mothers who also had gestational diabetes mellitus. This fact will increase the mean birth weight among mothers at increased risk from genetic basis. On the other hand, when birth weight is analyzed as a dichotomous variable (low birth weight - yes/no), the normal weight category would include macrossomic babies. In these two situations if there is no control for maternal diabetes, the potential association between low birth weight and gestational diabetes mellitus may not be detected.
As for the control of birth weight for gestational age, although it does not seem to change the association 20,21, there is still no strong evidence to simply ignore such an adjustment.
Four studies evaluated height as a major risk factor for gestational diabetes mellitus, controlling for confounders. Jang et al. 25, in 1998, studying a cohort of Korean women, found that the height of pregnant women, divided into quartiles, was inversely associated with the gestational diabetes mellitus diagnosis. The association remained regardless of age, weight and pre-pregnancy BMI, family history of diabetes mellitus, parity and weight gain during pregnancy. Anastasiou et al. 26, evaluating a cohort of pregnant Greek women referred to a service for screening of diabetes, found that the mean height among pregnant women with gestational diabetes mellitus was significantly lower than among those without gestational diabetes mellitus. Such findings remained true even after stratification by weight, maternal schooling and cohort effect. Branchtein et al. 27, in 2000 in Brazil, found an inverse association between mean glycemic values one and two hours after glucose load and height. Logistic regression showed that shorter women (< 151cm) had a 60% greater increase (OR) of gestational diabetes mellitus, when compared with the ones from the highest quartile, independently of the prenatal clinic of origin, age, obesity, family history of diabetes mellitus, education, skin color, waist circumference, parity, previous gestational diabetes mellitus, environment temperature and gestational age. Rudra et al. 28, in 2006, studying an American cohort found significant association between height (in quartiles) and gestational diabetes mellitus. Adjusted analyses for age, race/ethnics, education and BMI had shown that heights above 160cm were protective (30-60% risk reduction) for the development of the disease.
Other studies evaluating the association between height and gestational diabetes mellitus presented conflicting results: Yang et al. 29 in 2002, investigated height averages of diabetic and non diabetic pregnant Chinese women; Iranians were studied by Keshavarz et al. 30 in 2005; and Tabak et al. 31 assessed pregnant Hungarians in 2003 but did not find significant differences in a comparison of mean values. Only the first study controlled for confounders 29. The findings among different ethnicities was discussed by Kousta et al. 32, in 2000, studying mean differences, comparing pregnant women with and without gestational diabetes mellitus, categorized by origin as European, South Asian and Afro-Caribbean. Short stature associated to gestational diabetes mellitus had been found for all the groups in the crude analysis, although the association between Afro-Caribbean was not statistically significant 32. On the other hand, studying several risks for the development of gestational diabetes mellitus, Di Cianni et al. 33 and Innes et al. 21, respectively, in Italian and American populations, had also found a significant inverse association between height and gestational diabetes mellitus, even after adjustments for confounders.
Genetic and hormonal factors apart, fetal and infant nutrition are important determinants of height in adulthood 34. Therefore, the association between short stature and gestational diabetes mellitus could in fact be a result of confounders such as low socioeconomic level, and to be mediated by obesity. That could also be explained by the fetal origin theory. Considering that insulin is an important factor for normal growth, directly or indirectly (through GH/IGF1 axis), short stature would only be a marker of insulin resistance. It is important to point out that for this potential risk factor publication bias cannot be ruled out as shown in the funnel plot (Figure 2).
Considering socioeconomic levels, Innes et al. 21 did not find an association between gestational diabetes mellitus development and private or public insurance, occupation during pregnancy, or education of the parents of the pregnant woman at the time of her birth. However, they found an inverse association between the educational level of the pregnant woman and gestational diabetes mellitus, after adjustment for other social, economic and demographic factors. Berkowitz et al. 35, studying a hospital sample composed of all socioeconomic categories, found greater prevalence of gestational diabetes mellitus among women in a public health service, compared with those coming from private clinics 35. A study carried out in Italy 24 found that high levels of maternal education were associated with reduced risks of gestational diabetes mellitus (OR: 0.61; 95%CI: 0.4-0.9), compared to less educated women. When categorized by occupation, non-employed women with a primary level of education presented an OR of 1.87 (95%CI: 1.1-3.2) and the blue-collar workers, an OR of 1.73 (95%CI: 1.1-2.9), compared to white-collar women, even after controlling for age, BMI, height, family history of diabetes mellitus and previous pregnancy 24. On the other hand, Yang et al. 29, when studying Chinese pregnant women, did not find an association between gestational diabetes mellitus and education or average household income. Keshavarz et al. 30, studying pregnant Iranian women, did not find an association between gestational diabetes mellitus and education or occupation; however, they did find an association with low socioeconomic level. Both studies did not control for confounders.
An inverse association between socioeconomic status and type 2 diabetes mellitus was found in some studies 36,37. Despite the fact that the epidemiologies of these two conditions are similar, it is not clear if the socioeconomic situation can be a risk factor for gestational diabetes mellitus. It is possible that the low maternal socioeconomic level is a proxy for the socioeconomic level of the parents, and the latter is potentially acting as a confounding factor for being born with low weight, short stature and greater weight in adulthood, characteristics that, in previous studies, had been detected as more frequent in poor populations and with smaller education levels and described as independent factors of type 2 diabetes mellitus risk. Thus, a careful hierarchical analysis taking into account the income of the parents could elucidate the relationship between current socioeconomic factors and gestational diabetes mellitus 38.
Although cigarette smoking is positively associated with hyperinsulinism and insulin resistance in some studies 39,40, the association between tobacco and gestational diabetes mellitus has been little investigated. A cross-sectional study carried out in Scandinavia 41 showed that to smoke more than ten cigarettes per day during pregnancy affects the homeostasis of the glucose towards gestational diabetes mellitus, which was confirmed by others 42. In the Nurse Cohort study 42, in the study by England et al. 43, and in another cohort of Chinese pregnant women 29, an increased risk for gestational diabetes mellitus was found among smokers compared to non smokers. In the first cohort, the gestational diabetes mellitus diagnosis was self-reported and the definition of smoking habits consisted of pre-gravid current smokers. In the others, the gestational diabetes mellitus diagnosis was made by means of an oral glucose tolerance test and cigarette smoking during pregnancy in the first was categorized as never smoked, quit before, quit during and smoke at enrollment and in the Yang et al. 29 study as non smoker (none or occasional) or smoker (to smoke one or more cigarettes per day). Although adjustments were carried out for the same confounders, Yang et al. 29 found higher OR (7.82; 95%CI: 1.73-35.28) associated to smoking than the others. The fact that the Chinese cohort was composed of lean, young women, with low prevalence of family history of diabetes, without multiparity and in a context of greater bicycle usage could explain these differences. The wide confidence interval in the study by Yang et al. suggests a lack of precision in the estimate, since only two of the diabetic pregnant women were smokers 29,42.
Other studies have not found this association 21,35,44. Berkowitz et al. 35 did not include cigarette smoking in the multivariate analysis and, therefore, had not adjusted its effect for the effects of other variables; and Innes et al. 21 and Terry et al. 44 carried out studies with young pregnant women, with average ages of 21 and 24 respectively, probably with less time of exposure to smoking. One methodological problem of the studies was that some studies 21,29,35 classified women as smokers (at least one cigarette per day) or non-smokers, without considering the exposure period.
In the study by Egeland et al. 20 2000, after controlling for age, they found an OR for women with two, three and four or more childbirths, compared to those with only one childbirth, of respectively, 1.5 (95%CI: 1.2-1.9), 1.9 (95%CI: 1.4-2.5) and 3.3 (95%CI: 2.1-5.1). Kumari et al. 45 2002, studying grand multiparity, in a uniformly high socioeconomic population (United Arab Emirates), found that women with parity > 10 had greater gestational diabetes mellitus incidence. When stratified by age, these pregnant women belonged to the oldest category.
Jang et al. 25 1998 and Di Cianni et al. 33 2003 found greater ratio of women with gestational diabetes mellitus in the group with parity > 2, in comparison to primiparas. After controlling for age, pre-pregnancy BMI, height, family history of diabetes mellitus and weight gain during pregnancy, both results were non statistically significant.
For Berkowitz et al. 35 1992, in the crude analysis, the prevalence of gestational diabetes mellitus increased with parity, relative risks for two, three and more than four children, in relation to the first pregnancy, respectively 1.14 (95%CI: 0.88-1.50), 1.71 (95%CI: 1.25-2.34) and 2.17 (95%CI: 1.57-3.00). Lauszus et al. 46 1999 and Keshavarz et al. 30, in a descriptive analysis, found that women with more children were more likely to present gestational diabetes mellitus.
The association between parity and diabetes is strongly linked to obesity and age. Women with higher parity frequently are older and more obese. Obesity is an intermediate outcome in the causal pathway between parity and gestational diabetes mellitus, probably a mediating factor. However, age is a potential confounder in the association between parity and gestational diabetes mellitus. Therefore, no study evaluating parity could ignore to control for age. Adjustments for BMI, on the other hand could diminish the strength of this association. To study this association through a hierarchical model could provide a better estimate of the association between greatest parity and the risk of developing gestational diabetes mellitus.
The observation that some racial and ethnic groups presented higher gestational diabetes mellitus frequencies have stimulated studies to evaluate the role of racial or ethnic factors. A study carried out by Berkowitz et al. 35, in 1992, raises a controversy in relation to the risk of gestational diabetes mellitus based on habits and behavior changes of immigrant populations. In a cohort of pregnant women from different socioeconomic and ethnics backgrounds in New York, the authors found a higher adjusted risk of gestational diabetes mellitus for Orientals, women from India, the Middle East and among Hispanics (only those born outside the USA). A study carried out in Australia, in 1996, strengthens these findings, showing that gestational diabetes mellitus is more common among immigrant populaces, especially among minorities (racial groups), even after adjustment for age and BMI 47.
Another study 48, in the USA, investigated the impact of the birth on the prevalence of gestational diabetes mellitus, between 15 ethnic and racial groups (among them native, Hispanic, non Hispanic whites, Afro-descendants and Asians). Having been born outside the USA and having immigrated increased the probability of having gestational diabetes mellitus. In part, this association was explained by the age of the mother, as the oldest pregnant women were immigrants. The significant association between several racial and ethnic groups remained the same even after controlling for age. The authors, however, had not adjusted for important confounders such as socioeconomic and obesity variables. This study also demonstrated that Japanese women born outside the USA have the lowest prevalence of gestational diabetes mellitus with adjusted OR (0.74; 95%CI: 0.69-0.81) compared to non Hispanic white women born in the USA. This finding was confirmed by Rao et al. 49, suggesting that Japanese women do not modify their habits after immigration. On the other hand, the percentage of gestational diabetes mellitus among those born in the USA is well above the American average. Studies of type 2 diabetes mellitus show that the first and the second generation of Japanese born in the USA present a gradually higher prevalence when compared to Japanese born in Japan and even greater than those who are residents of Japan 50.
Dornhorst et al. 51, in London, found ethnic origin to be a stronger predictor of gestational diabetes mellitus than age, BMI or parity, and a similar result was also found by Khine et al. 52 among pregnant American women, when they evaluated prevalence of gestational diabetes mellitus stratified by race and age. Clear racial differences had also been found in the study of nurses, in which women who were Afro-American, Hispanic or that had Asian ethnicity had a significantly increased risk of gestational diabetes mellitus, when compared with whites, even after adjustment for BMI, age, family history of diabetes mellitus, level of physical activity and parity. Being this study made in cohort of women of same professional category, there was, in a certain way, an adjustment for restriction, to social and economic factors 42.
On the other hand, Innes et al. 21, when studying pregnant women in the state of New York in 2002, did not find an association between gestational diabetes mellitus and race when the sample was divided into groups of "non-Hispanic whites", "black people" "Hispanic" and "other non-whites".
Studies have also been carried out with native populations (Cree) from Canada. The increased risk was only found among obese natives in comparison to non native Canadians 53.
Funnel plots suggest that the risks found for Asians are not a result of publication bias (Figure 3), while those associated with Indians/Pakistanis may be biased. It is interesting to note that the highest prevalence of gestational diabetes mellitus found among ethnic groups was observed in studies carried out with populations of immigrants in Western countries. In studies made in the original populations, the prevalence is lower than in Western countries 29,54,55. It is important to point out that more recent studies show that the prevalence of diabetes mellitus is increasing in China and in other Eastern countries, due to adaptations to modern lifestyles, brought about by the economic developments of the last decade 56.
Far beyond genetic questions and change in lifestyle, aspects linked to prejudice must also be considered. Emotional stress can influence metabolic functions, because it increases the production of cortisol and other hyperglycemic hormones, besides activating the pro-inflammatory elements of the innate immune system and modifying the sympathetic nervous system 57.
Thus, in developed countries, the highest risk of diabetes mellitus and gestational diabetes mellitus, between different ethnic groups, could be justified by genetics, age of pregnant immigrant, by lifestyle changes, socioeconomic factors and, possibly, as a result of suffering prejudice.
The Brazilian Society of Diabetes (SBD) considers as a risk factor for gestational diabetes mellitus excessive weight gain 58, however few studies evaluated this variable as an independent risk factor.
One of the first studies was published by Scholl et al. 59, in 1995, among low income pregnant and racial minorities from New Jersey, USA. The authors showed that high concentrations of insulin were associated with a greater increase and retention of weight post-partum. Later, studies by Jang et al. 25, in 1998, Yang et al. 29, 2002 and Saldana et al. 60, 2006 controlling for age, weight and pre-pregnancy BMI, height, family history of diabetes mellitus and parity, have shown a significant association between weight gain and gestational diabetes mellitus, some studies have also adjusted for smoking habits and alcohol use.
Saldana et al. 60, also evaluated the association between weight gain at the end of the second semester (and the US Institute of Medicine weight gain recommendation 61) and the risk of glucose intolerance and gestational diabetes mellitus, finding higher risks than in the previous analyses. A high statistical significance (< 0.0001) was also found in an adjusted analysis in the difference between weight gain among pregnant women with gestational diabetes mellitus or not, at the moment of the diagnosis, in the study of Di Cianni et al. 33.
On the other hand, in a Letter to the Editor, Corrado et al. 62 stated that in a retrospective study in Italy they did not find an association between gestational diabetes mellitus and weight increase. This was also true for Deruelle et al. 63, in 2004, who compared weight gains above 18kg to lower gains. And in another study, women with BMI ranging from 19.5 to 25.5kg/m2 gaining less than 11kg during pregnancy were more likely to present gestational diabetes mellitus in comparison to those gaining more than 20kg (p = 0,02) in the crude analysis of the study by Thorsdottir et al. 64, however the sample was too small to study the outcome. These findings were confirmed by Innes et al. 21, analyzing weight gain in quartiles (< 11.35; 11.35-15.8; 15.9-20.4 and 20.5kg), and observing a crude OR for gestational diabetes mellitus that was smaller for pregnant women in the highest quartile of weight gain, without statistical significance after adjustments (also for pre-pregnancy weight); and by Lauszus et al. 46, comparing average weight gain in women with a normal oral glucose tolerance test and diabetic women. As obesity is a known risk factor for gestational diabetes mellitus, it is possible that the effect of this variable was biased by reverse causality, since high-weight pregnant women with other risk factors for gestational diabetes mellitus are oriented not to gain weight during pregnancy. The differences in the results might also be explained by the time interval in which weight gain was measured: in the four first studies, weight gain was measured up until the gestational diabetes mellitus diagnostic test, while other studies measured up until the end of the pregnancy. Behavioral changes, indicated for the treatment of gestational diabetes mellitus could have an influence on weight increase after the diagnosis.
Physical activity has been associated to a reduced risk for excessive weight gain, insulin resistance and type 2 diabetes mellitus 65,66,67. Few studies evaluated the association between physical activity and gestational diabetes mellitus, however it has been stated that increasing physical activity could decrease the glucose intolerance in diabetic pregnant women 68.
The lack of studies can be attributed, in part, to the difficulty in measuring this variable, the potential reverse causality and recall biases, as well as poor prenatal care counseling towards physical activity.
In 1997, Solomon et al. 42 measured pre-pregnancy physical activity, in terms of mean metabolic equivalent expenditures 69. This study found a non significant reduction of gestational diabetes mellitus risk for women who were vigorously physical active or did brisk walking before pregnancy. Dye et al. 70, also in 1997, found that inactive women presented OR: 1.9 (95%CI: 1.2-3.1) for gestational diabetes mellitus, compared to active women, only among those with BMI pre-pregnancy > 33. This study considered as physical activity those activities performed during leisure time.
Dempsey et al. 71,72, in a case-control study (2004) and in a cohort study (2004), observed an approximately 50% reduction in gestational diabetes mellitus risk associated to several types of recreational physical activities, performed in the previous year and/or during the first 20 weeks of pregnancy, adjusted for age, race, parity and pre-pregnancy BMI. The same population using the same adjustments was analyzed by Rudra et
al. 28,73 in a case-control study and as a cohort, assessing the relation between perceived exertion during pre-pregnancy recreational physical activity, divided in weak, moderate, strenuous and very strenuous and gestational diabetes mellitus. The reduced risk for gestational diabetes mellitus was 59% for moderate, up to 81% for very strenuous, in relation to weak, in the case-control study, and 37% and 43%, respectively, in the cohort study.
A recent study with the population from the Nurse's Health Study II, observed an adjusted risk ratio of the comparison between the highest and the lowest quintile of vigorous activity, equal to 0.77 (95%CI: 0.69-0.94). Still, among women who have not performed vigorous activities, brisk walking and climbing stairs (up to 15 steps daily) were associated with risk reduction 74. In spite of different ways of measuring physical activity, studies highlight the importance of this variable as an independent protective factor for gestational diabetes mellitus.
The systematic review of the literature allows us to draw the following conclusions:
(a) Well designed studies 20,21, found increased risks in the association between low birth weight and gestational diabetes mellitus. Some studies found there to be a statistical significance although with no control for family history of diabetes mellitus and BMI 19 and with no weight categorization 15, which guaranteed significance for others 23. According to the literature, maternal history of low birth weight must be included as a risk factor for gestational diabetes mellitus. New studies must either consider controlling for familiar history of gestational diabetes mellitus (mainly the mother of the pregnant woman) or always separate birth weight categories that contemplate the highest weights separately in order to investigate this association;
(b) In relation to height, all but one of the studies found an association. Although publication bias cannot be ruled out, the challenge in including short stature as a risk factor for gestational diabetes mellitus seems to be the definition of the cut-off point for this variable. In Brazil, based on the Brazilian Gestational Diabetes Study (EBDG), the study of Branchtein et al. 27 defined it as < 151cm, however studies in other countries observed associations using different height categories 21,25,26,29,33.
(c) Socioeconomic levels are investigated mostly in studies carried out in developed countries. The existing social inequities in developing countries hinder comparison with developed countries. Due to controversial results, it could be more elucidative to study this association in countries where differences between high and low socioeconomic levels are huge, and therefore, the potential association would be more easily proven;
(d) Regarding smoking habits, half of the studies found there to be a statistically significant association. These differences in the results may result from a lack of power, different smoking exposure measurements, differences in the diagnostic methods, different definitions of the exposure, besides different confounders' control. Changes in smoking habit as a result of the pregnancy or wrong information about smoking status (since risks associated to tobacco exposure in pregnancy are well known), also could be sources of bias. The heterogeneity of the studied populations, the lack of control, in some cases, for known potential confounding factors and the effect of others, still not described, may also have led to different results. In order to clarify this association, more studies are necessary, with sample sizes large enough to contemplate the possible confounding factors and standardization of exposure;
(e) The association between parity and diabetes seems consistent in the different studies investigated and is marked by a dose-response fashion. However, women with highest parity are frequently older and heavier. Therefore, no study that evaluates parity could ignore a proper age adjustment. In the evaluated studies, only two had adjusted for age, presenting conflicting results. To identify the mediating effect of obesity, hierarchical analyses could show the real association between high parity and the risk of developing gestational diabetes mellitus;
(f) The racial question has not yet been well elucidated. Differences in the metabolic susceptibility to diabetes mellitus can exist, but ambient factors, due to behavioral changes (such as physical activity or nutritional patterns), or factors linked to emotional stress, associated to the immigrant situation, to the socioeconomic condition, must be more investigated in future studies, especially in developed countries;
(g) The results found for weight gain during pregnancy are controversial since well designed studies presented conflicting results. Maternal pre-pregnancy weight influences the weight gain in the course of pregnancy 60. Studies evaluating the weight gain until the moment of the diagnosis, adjusting for gestational age, besides other potential confounders such as age, obesity, parity and smoking habits, could elucidate this question; and
(h) There are indications, through three cross-sectional studies and one cohort study, that physical activity performed right before and during pregnancy could modify the risk of gestational diabetes mellitus. Studies would have to be carried out in women before the gestational diabetes mellitus diagnosis, with the objective to prevent the reverse causality associated to behavior changes after the diagnosis of gestational diabetes mellitus. All domains of physical activity should be assessed (leisure time, commuting and occupational).
Different methodologies used by the researchers to define the exposures and outcome did not allow for a meta-analysis to be carried out. Although the literature reviewed suggests that the investigated characteristics are risk factors for gestational diabetes mellitus, the presence of publication bias i.e. the preferential publication of researches that present positive results cannot be discarded for the majority of risk factors. This finding prevents the recommendation of including these factors among those that point out women in higher risk of gestational diabetes mellitus. The standardization of the techniques and cutoff points for screening and diagnosis, besides adequate sample sizes, will allow future meta-analyses, which make possible the confirmation or the removal of these new criteria from the list of the risk factors for gestational diabetes mellitus.
M. A. S. O. Dode contributed to the conception and design; acquisition of data; analysis and interpretation of data; drafting the article and critically revising it for important intellectual content; and final approval of the version to be published. I. S. Santos reviewed all steps of the process and reviewed the article for the final approval of the version to be published.
1. World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications. Report of a WHO consultation. Geneva: World Health Organization; 1999. [ Links ]
2. American College of Obstetricians and Gynecologist. Management of diabetics in pregnancy. Washington DC: American College of Obstetricians and Gynecologist; 1994. [ Links ]
3. American Diabetes Association. Gestational diabetes mellitus. Diabetes Care 2003; 26 Suppl 1:S103-5. [ Links ]
4. Metzger BE, Coustan DR. Summary and recommendations of the Fourth International Workshop-Conference on Gestational Diabetes Mellitus. Diabetes Care 1998; 21 Suppl 2:B161-7. [ Links ]
5. The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 2000; 23 Suppl 1:S4-19. [ Links ]
6. World Health Organization. Screening for type 2 diabetes: report of World Health Organization and International Diabetes Federation Meeting. Geneva: World Health Organization; 2003. [ Links ]
7. Reichelt AJ, Oppermann MLR, Schmidt MI. Recomendações da 2ª Reunião do Grupo de Trabalho em Diabetes e Gravidez. Arq Bras Endocrinol Metabol 2002; 46:574-81. [ Links ]
8. Ministério da Saúde. Assistência pré-natal: normas e manuais técnicos. 3ª Ed. Brasília: Ministério da Saúde; 1998. [ Links ]
9. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health 1998; 52:377-84. [ Links ]
10. 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. [ Links ]
11. Law CM. Fetal and infant influences on non-insulin-dependent diabetes mellitus (NIDDM). Diabet Med 1996; 13(9 Suppl 6):S49-52. [ Links ]
12. Phillips DI. Birth weight and the future development of diabetes. A review of the evidence. Diabetes Care 1998; 21 Suppl 2:B150-5. [ Links ]
13. Rich-Edwards JW, Colditz GA, Stampfer MJ, Willett WC, Gillman MW, Hennekens CH, et al. Birthweight and the risk for type 2 diabetes mellitus in adult women. Ann Intern Med 1999; 130(4 Pt 1):278-84. [ Links ]
14. Mi J, Law C, Zhang KL, Osmond C, Stein C, Barker D. Effects of infant birthweight and maternal body mass index in pregnancy on components of the insulin resistance syndrome in China. Ann Intern Med 2000; 132:253-60. [ Links ]
15. Plante LA. Small size at birth and later diabetic pregnancy. Obstet Gynecol 1998; 92:781-4. [ Links ]
16. Plante LA. Low birth weight may not predict diabetes in pregnancy. Diabetes Care 2004; 27:1759-60. [ Links ]
17. Pettitt DJ, Knowler WC. Long-term effects of the intrauterine environment, birth weight, and breast-feeding in Pima Indians. Diabetes Care 1998; 21 Suppl 2:B138-41. [ Links ]
18. Moses RG, Moses J, Knights S. Birth weight of women with gestational diabetes. Diabetes Care 1999; 22:1059-62. [ Links ]
19. Williams MA, Emanuel I, Kimpo C, Leisenring WM, Hale CB. A population-based cohort study of the relation between maternal birthweight and risk of gestational diabetes mellitus in four racial/ethnic groups. Paediatr Perinat Epidemiol 1999; 13:452-65. [ Links ]
20. Egeland GM, Skjaerven R, Irgens LM. Birth characteristics of women who develop gestational diabetes: population based study. BMJ 2000; 321:546-7. [ Links ]
21. Innes KE, Byers TE, Marshall JA, Baron A, Orleans M, Hamman RF. Association of a woman's own birth weight with subsequent risk for gestational diabetes. JAMA 2002; 287:2534-41. [ Links ]
22. Seghieri G, Anchini R, De Bellis A, Alviggi L, Franconi F, Breschi MC. Relationship between gestational diabetes mellitus and low maternal birth weight. Diabetes Care 2002; 25:1761-5. [ Links ]
23. Savona-Ventura C, Chircop M. Birth weight influence on the subsequent development of gestational diabetes mellitus. Acta Diabetol 2003; 40:101-4. [ Links ]
24. Bo S, Marchisio B, Volpiano M, Menato G, Pagano G. Maternal low birth weight and gestational hyperglycemia. Gynecol Endocrinol 2003; 17:133-6. [ Links ]
25. Jang HC, Min HK, Lee HK, Cho NH, Metzger BE. Short stature in Korean women: a contribution to the multifactorial predisposition to gestational diabetes mellitus. Diabetologia 1998; 41:778-83. [ Links ]
26. Anastasiou E, Alevizaki M, Grigorakis SJ, Philippou G, Kyprianou M, Souvatzoglou A. Decreased stature in gestational diabetes mellitus. Diabetologia 1998; 41:997-1001. [ Links ]
27. Branchtein L, Schmidt MI, Matos MC, Yamashita T, Pousada JM, Duncan BB. Short stature and gestational diabetes in Brazil. Brazilian Gestational Diabetes Study Group. Diabetologia 2000; 43:848-51. [ Links ]
28. Rudra CB, Sorensen TK, Leisenring WM, Dashow E, Williams MA. Weight characteristics and height in relation to risk of gestational diabetes mellitus. Am J Epidemiol 2007; 165:302-8. [ Links ]
29. Yang X, Hsu-Hage B, Zhang H, Yu L, Dong L, Li J, et al. Gestational diabetes mellitus in women of single gravidity in Tianjin City, China. Diabetes Care 2002; 25:847-51. [ Links ]
30. Keshavarz M, Cheung NW, Babaee GR, Moghadam HK, Ajami ME, Shariati M. Gestational diabetes in Iran: incidence, risk factors and pregnancy outcomes. Diabetes Res Clin Pract 2005; 69:279-86. [ Links ]
31. Tabak AG, Kerenyi Z, Nagy E, Bosnyak Z, Madarasz E, Tamas G. Height and gestational diabetes mellitus. Diabet Med 2002; 19:344-5. [ Links ]
32. Kousta E, Lawrence NJ, Penny A, Millauer BA, Robinson S, Johnston DG, et al. Women with a history of gestational diabetes of European and South Asian origin are shorter than women with normal glucose tolerance in pregnancy. Diabet Med 2000; 17:792-7. [ Links ]
33. Di Cianni G, Volpe L, Lencioni C, Miccoli R, Cuccuru I, Ghio A, et al. Prevalence and risk factors for gestational diabetes assessed by universal screening. Diabetes Res Clin Pract 2003; 62:131-7. [ Links ]
34. Davies DP. Growth of "small-for-dates" babies. Early Hum Dev 1981; 5:95-105. [ Links ]
35. Berkowitz GS, Lapinski RH, Wein R, Lee D. Race/ethnicity and other risk factors for gestational diabetes. Am J Epidemiol 1992; 135:965-73. [ Links ]
36. Brancati FL, Whelton PK, Kuller LH, Klag MJ. Diabetes mellitus, race, and socioeconomic status. A population-based study. Ann Epidemiol 1996; 6:67-73. [ Links ]
37. Robbins JM, Vaccarino V, Zhang H, Kasl SV. Socioeconomic status and type 2 diabetes in African American and non-Hispanic white women and men: evidence from the Third National Health and Nutrition Examination Survey. Am J Public Health 2001; 91:76-83. [ Links ]
38. Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 1997;26:224-7. [ Links ]
39. Perry IJ, Wannamethee SG, Walker MK, Thomson AG, Whincup PH, Shaper AG. Prospective study of risk factors for development of non-insulin dependent diabetes in middle aged British men. BMJ 1995; 310:560-4. [ Links ]
40. Sargeant LA, Khaw KT, Bingham S, Day NE, Luben RN, Oakes S, et al. Cigarette smoking and glycaemia: the EPIC-Norfolk Study. European Prospective Investigation into Cancer. Int J Epidemiol 2001; 30:547-54. [ Links ]
41. Zaren B, Lindmark G, Wibell L, Folling I. The effect of smoking on glucose homeostasis and fetal growth in pregnant women. Ups J Med Sci 2000; 105:41-56. [ Links ]
42. Solomon CG, Willett WC, Carey VJ, Rich-Edwards J, Hunter DJ, Colditz GA, et al. A prospective study of pregravid determinants of gestational diabetes mellitus. JAMA 1997; 278:1078-83. [ Links ]
43. England LJ, Levine RJ, Qian C, Soule LM, Schisterman EF, Yu KF, et al. Glucose tolerance and risk of gestational diabetes mellitus in nulliparous women who smoke during pregnancy. Am J Epidemiol 2004;160:1205-13. [ Links ]
44. Terry PD, Weiderpass E, Ostenson CG, Cnattingius S. Cigarette smoking and the risk of gestational and pregestational diabetes in two consecutive pregnancies. Diabetes Care 2003; 26:2994-8. [ Links ]
45. Kumari AS, Badrinath P. Extreme grandmultiparity: is it an obstetric risk factor? Eur J Obstet Gynecol Reprod Biol 2002; 101:22-5. [ Links ]
46. Lauszus FF, Paludan J, Klebe JG. Birthweight in women with potential gestational diabetes mellitus: an effect of obesity rather than glucose intolerance? Acta Obstet Gynecol Scand 1999; 78:520-5. [ Links ]
47. Yue DK, Molyneaux LM, Ross GP, Constantino MI, Child AG, Turtle JR. Why does ethnicity affect prevalence of gestational diabetes? The underwater volcano theory. Diabet Med 1996; 13:748-52. [ Links ]
48. Kieffer EC, Martin JA, Herman WH. Impact of maternal nativity on the prevalence of diabetes during pregnancy among U.S. ethnic groups. Diabetes Care 1999; 22:729-35. [ Links ]
49. Rao AK, Daniels K, El-Sayed YY, Moshesh MK, Caughey AB. Perinatal outcomes among Asian American and Pacific Islander women. Am J Obstet Gynecol 2006; 195:834-8. [ Links ]
50. Fujimoto WY. Diabetes in Asian and Pacific Islander Americans. In: National Diabetes Data Group of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health, editor. Diabetes in America. 2nd Ed. Bethesda: National Diabetes Data Group of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Health; 1995. p. 661-82. (NIH Publication, 95-1468). [ Links ]
51. Dornhorst A, Paterson CM, Nicholls JS, Wadsworth J, Chiu DC, Elkeles RS, et al. High prevalence of gestational diabetes in women from ethnic minority groups. Diabet Med 1992; 9:820-5. [ Links ]
52. Khine ML, Winklestein A, Copel JA. Selective screening for gestational diabetes mellitus in adolescent pregnancies. Obstet Gynecol 1999; 93(5 Pt 1):738-42. [ Links ]
53. Rodrigues S, Robinson EJ, Ghezzo H, Gray-Donald K. Interaction of body weight and ethnicity on risk of gestational diabetes mellitus. Am J Clin Nutr 1999; 70:1083-9. [ Links ]
54. Lee CP, Wang ZQ, Duthie SJ, Ma HK, Zhang JZ, Zhou SM, et al. A multicentre study to investigate the prevalence of abnormal carbohydrate metabolism in Chinese pregnant women. J Obstet Gynaecol Res 1996; 22:401-7. [ Links ]
55. Ramachandran A, Snehalatha C, Shyamala P, Vijay V, Viswanathan M. Prevalence of diabetes in pregnant women: a study from southern India. Diabetes Res Clin Pract 1994; 25:71-4. [ Links ]
56. Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 1997; 20:537-44. [ Links ]
57. Black PH. The inflammatory response is an integral part of the stress response: Implications for atherosclerosis, insulin resistance, type II diabetes and metabolic syndrome X. Brain Behav Immun 2003; 17:350-64. [ Links ]
58. Sociedade Brasileira de Diabetes. Diabetes gestacional. In: Sociedade Brasileira de Diabetes, editor. Atualização brasileira de diabetes. Rio de Janeiro: Diagraphic; 2005. p. 120-3. [ Links ]
59. Scholl TO, Hediger ML, Schall JI, Ances IG, Smith WK. Gestational weight gain, pregnancy outcome, and postpartum weight retention. Obstet Gynecol 1995; 86:423-7. [ Links ]
60. Saldana TM, Siega-Riz AM, Adair LS, Suchindran C. The relationship between pregnancy weight gain and glucose tolerance status among black and white women in central North Carolina. Am J Obstet Gynecol 2006; 195:1629-35. [ Links ]
61. Committee on Nutritional Status During Pregnancy and Lactation, Institute of Medicine. Nutrition during pregnancy. Washington DC: National Academies Press; 1990. [ Links ]
62. Corrado F, D'Anna R, Cannata ML, Caputo F, Rizzo P, Cannizzaro D, et al. Prevalence of risk factors in the screening of carbohydrate intolerance in pregnancy. Nutr Metab Cardiovasc Dis 2006; 16:79-80. [ Links ]
63. Deruelle P, Houfflin-Debarge V, Vaast P, Delville N, Helou N, Subtil D. Effets maternels et ftaux d'une prise de poids maternelle excessive au cours de la grossesse dans une population de patientes de poids normal avant la grossesse. Gynecol Obstet Fertil 2004; 32:398-403. [ Links ]
64. Thorsdottir I, Torfadottir JE, Birgisdottir BE, Geirsson RT. Weight gain in women of normal weight before pregnancy: complications in pregnancy or delivery and birth outcome. Obstet Gynecol 2002; 99(5 Pt 1):799-806. [ Links ]
65. Helmrich SP, Ragland DR, Leung RW, Paffenbarger Jr. RS. Physical activity and reduced occurrence of non-insulin-dependent diabetes mellitus. N Engl J Med 1991; 325:147-52. [ Links ]
66. Manson JE, Rimm EB, Stampfer MJ, Colditz GA, Willett WC, Krolewski AS, et al. Physical activity and incidence of non-insulin-dependent diabetes mellitus in women. Lancet 1991; 338:774-8. [ Links ]
67. Wang L, Yamaguchi T, Yoshimine T, Katagiri A, Shirogane K, Ohashi Y. A case-control study of risk factors for development of type 2 diabetes: emphasis on physical activity. J Epidemiol 2002; 12:424-30. [ Links ]
68. Bung P, Artal R, Khodiguian N, Kjos S. Exercise in gestational diabetes. An optional therapeutic approach? Diabetes 1991; 40 Suppl 2:182-5. [ Links ]
69. Ainsworth BE, Haskell WL, Leon AS, Jacobs Jr. DR, Montoye HJ, Sallis JF, et al. Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc 1993; 25:71-80. [ Links ]
70. Dye TD, Knox KL, Artal R, Aubry RH, Wojtowycz MA. Physical activity, obesity, and diabetes in pregnancy. Am J Epidemiol 1997; 146:961-5. [ Links ]
71. Dempsey JC, Butler CL, Sorensen TK, Lee IM, Thompson ML, Miller RS, et al. A case-control study of maternal recreational physical activity and risk of gestational diabetes mellitus. Diabetes Res Clin Pract 2004; 66:203-15. [ Links ]
72. Dempsey JC, Sorensen TK, Williams MA, Lee IM, Miller RS, Dashow EE, et al. Prospective study of gestational diabetes mellitus risk in relation to maternal recreational physical activity before and during pregnancy. Am J Epidemiol 2004; 159:663-70. [ Links ]
73. Rudra CB, Williams MA, Lee IM, Miller RS, Sorensen TK. Perceived exertion in physical activity and risk of gestational diabetes mellitus. Epidemiology 2006; 17:31-7. [ Links ]
74. Zhang C, Solomon CG, Manson JE, Hu FB. A prospective study of pregravid physical activity and sedentary behaviors in relation to the risk for gestational diabetes mellitus. Arch Intern Med 2006; 166:543-8. [ Links ]
75. Bo S, Menato G, Bardelli C, Lezo A, Signorile A, Repetti E, et al. Low socioeconomic status as a risk factor for gestational diabetes. Diabetes Metabol 2002; 28:139-40. [ Links ]
M. A. S. O. Dode
Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas
Av. Anchieta 2023, apto. 801
Pelotas, RS - 96015420, Brasil
Submitted on 28/Apr/2009
Final version resubmitted on 23/Jul/2009
Approved on 19/Aug/2009