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Volume 23, Issue 1, Pages 29-35 (March 2010)


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Relationships between prenatal smoking cessation, gestational weight gain and maternal lifestyle characteristics

Amanda R.A. AdegboyeabCorresponding Author Informationemail addressemail address, Stephan Rossnera, Martin Neoviusa, Paulo Mauricio C. Lourençob, Yvonne Linnéa

Received 18 August 2008; received in revised form 1 May 2009; accepted 5 May 2009.

Summary 

Objectives

To describe maternal characteristics and lifestyle factors associated with prenatal smoking habits and to appraise the effect of quitting smoking in early gestation on maternal weight gain during pregnancy.

Methods

This is a follow-up study of 1753 women who gave birth in 1984/1985 in Stockholm, Sweden. Multivariate logistic models were used to evaluate the association between smoking cessation and weight gain above the American Institute of Medicine (IOM) recommendations, based on pre-pregnancy BMI.

Results

About 22% of all participants identified themselves as current smokers and 11.6% reported smoking cessation during pregnancy. Smokers were more likely to be single mothers and reported low quality of breakfast (e.g. eating only 1 food group at breakfast). Non-smokers were older, more likely to be married and have a healthier lifestyle. Quitters also adopted healthier eating habits (e.g. improvement in their breakfast quality). Women who quit smoking gained, on average, 15.3kg (SD 4.4) during pregnancy, non-smokers gained 14.1kg (SD 4.0) and smokers gained 13.8kg (SD 4.3). Quitters gained significantly more weight than both non-smokers and smokers (p<0.001). Smoking cessation was significantly associated with gaining weight above IOM recommendations, even after controlling for potential confounders (OR: 2.0; 95%CI: 1.4–3.0; p0.0001).

Conclusions

In this population, smoking cessation in early pregnancy doubled the likelihood of gaining excess weight. This finding highlights the need for supportive measures to help control weight gain among women who quit smoking during pregnancy.

Article Outline

Summary

Introduction

Methods

Losses to follow-up

Definition of variables

Data analysis

Results

Discussion

Conclusion

Acknowledgment

References

Copyright

Introduction 

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Maternal smoking has been well documented as a risk factor for low gestational weight gain, low birth-weight, fetal growth restriction and preterm birth,1, 2, 3 and may explain why the spontaneous quit rate during pregnancy exceeds that in the general population of women.4

In non-pregnant women, smoking cessation is associated with an average weight increase of 5.0kg after 1 year of quitting.5 Despite the established effect of smoking on weight gain, relatively little attention has been devoted to the relationship in the context of pregnancy. Most studies regarding maternal smoking habits have focused on the comparisons between smokers and non-smokers and only few have considered smoking cessation in their analyses.6, 7, 8, 9 These studies found that women who quit smoking after conception gained from 1.2 to 3.5kg more during gestation than continuing smokers.6, 7, 8, 9 Therefore, maternal weight concerns might be an obstacle of maintaining smoking abstinence over the postpartum period after spontaneous quitting during pregnancy.10, 11

Women naturally gain weight during pregnancy, typically 12–14kg, and most of them gradually lose this weight postpartum.12 However, for some women pregnancy-related weight gain may trigger obesity development. Thus, it is important to advise pregnant women to gain weight within recommended ranges, which secures a healthy fetal development without causing postpartum weight retention and consequently maternal obesity.13, 14

In 1990, the American Institute of Medicine (IOM) published guidelines for weight gain during pregnancy based on pre-pregnancy body mass index (BMI).15 After the guidelines were published, systematic reviews including studies from different populations have supported the soundness of the IOM recommended ranges of weight gain for decreasing the occurrence of negative pregnancy outcomes.12, 16 However, at least 30% of Western women gain weight above the recommendations.16

It is known that gestational weight gain is influenced by numerous lifestyle changes during pregnancy, such as physical activity level, food intake, alcohol consumption and smoking habits.17, 18 Although previous studies have indicated that smoking cessation during pregnancy is a potential predictor of high gestational weight gain,6, 7, 8, 9 changes in other lifestyle habits during pregnancy were not taken into consideration in the analyses. Women who quit smoking during pregnancy may also adopt other healthy lifestyle measures because of concerns about fetal well-being.4

This study, therefore, aims to describe maternal socio-demographic and lifestyle characteristics associated with smoking habits during pregnancy and to evaluate the independent effect of quitting smoking in early pregnancy on gestational weight gain, regardless of other maternal lifestyle habits. It is hypothesised that women who quit smoking are (1) prone to adhere to a generally healthy lifestyle, regarding eating regularity, physical activity and alcohol consumption and (2) more likely to gain weight above the IOM recommendations.

Methods 

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The Stockholm Pregnancy and Weight Development Study (SPWDS) is a 1 year follow-up study conducted to identify risk factors for postpartum weight retention. Women who gave birth in 1984/1985 in 14 selected maternity units in Stockholm, Sweden were invited to participate in the study by the units’ staff after birth. Women who agreed to participate attended two weigh-in sessions at 6 months and 1 year postpartum. On these occasions, they filled out questionnaires about their lifestyle before, during, and after pregnancy. Information about gestational weight gain and gestational age was collected from obstetrics records. Detailed information about the year-long study is described elsewhere.19, 20 The data used in this study were restricted to information collected at the 6-month follow-up visit. Over the years, numerous post hoc analyses have been conducted, extracting the salient information of this database.13, 19, 20, 21, 22

Initially, 2342 women agreed to participate in the study. Forty-seven women were excluded due to complicated pregnancies and lack of pre-pregnancy weight reports, leaving a sample of 2295 women. After 348 losses to follow-up (15% of 2295), 1947 women completed the initial 6-month follow-up. For the purpose of this study, 159 women were excluded owing to missing information on gestational weight gain, infant birth-weight and smoking habits. Due to known ethnic differences in the relation between weight gain and obesity, non-Nordic women (n=35) were excluded, leaving a final sample of 1753 women.

Losses to follow-up 

For the majority (70% of 348 women) the reasons for withdrawing from the study were unknown, 15% reported lack of interest or unsuitable time, 8% moved or were on holiday and 7% were pregnant again.19 Women with complete data were compared with those lost to follow-up at 6 months. The comparisons revealed no significant differences between completers and non-completers concerning pre-pregnancy weight, previous fecundity, high blood pressure, oedema, birthing methods and dietary advice during pregnancy.21 There was a significant difference in smoking rates between completers and non-completers. Approximately, 34% of non-completers versus 22% of completers were smokers (p<0.001). There was a small, but statistically significant difference in age (completers 29.6 years versus non-completers 29 years p<0.05).

Definition of variables 

Maternal pre-pregnancy BMI (kg/m2) was categorised in accordance with IOM classification as underweight (BMI<19.8), normal (BMI 19.8–26.0), overweight (BMI 26.0–29.0), or obese (BMI>29.0). Gestational weight gain was calculated by subtracting maternal weight measured at the end of gestation from self-reported pre-pregnancy weight and classified as below/within versus above IOM guidelines. The IOM guidelines recommend that underweight women should gain 12.5–18.0kg; normal weight, 11.5–16.0kg; overweight, 7.0–11.5kg and obese at least 6.8kg. Women of short stature (<157cm) should aim for gains at the lower end of the range. Due to few number of obese women and lack of recommended upper limit of weight gain for them, overweight and obese women were combined into one category. Weight gain above the IOM's recommended ranges was defined as excess weight gain.

Women were classified according to prenatal cigarette smoking status as: non-smokers (never smoked), quitters (stopped smoking during in the first trimester of pregnancy and remained abstinent throughout pregnancy) and smokers (continued to smoke during pregnancy). Smoking intensity was classified into two categories: ≤10 cigarettes/day versus >10 cigarettes/day. Regarding alcohol consumption the sample was divided into three groups: non-consumer (no alcohol consumption), quit (ceased alcohol consumption during pregnancy), consumer (continued to consume alcohol during pregnancy).

Dietary patterns were evaluated according to self-perceived mealtime regularity with regard to frequency of breakfast, lunch and snacks. Dietary quality was evaluated as frequency of cooked meals and breakfast quality. Breakfast quality was based on food groups consumed and classified into three levels: high (including the three food groups: bread, milk and fruit/vegetables), medium (maximum two of the food groups) and low (maximum one of the food groups). Women were asked if they had any special food cravings during pregnancy (yes/no) and the reported food items were roughly divided into three categories: sugary food (candies, cookies, soft drinks, etc.), salty food (peanuts and chips); healthy food (fruits and low-fat diary products). Women were also asked whether they had received any dietary advice during pregnancy and whether the dietary information was given by midwives, dietitians or via brochures. Self-perceived lack of dietary advice was assessed by asking women if they would like to have received more information about diet during pregnancy.

Physical activity during leisure time, before and during pregnancy was ranked into three levels: inactive (reading or watching TV), medium (4–6h of light activity/week: walking, cycling or gardening) and high (regular jogging/gymnastics or vigorous exercise). Since there was no significant difference between women who had a medium and high level of physical activity during pregnancy in the multivariate model predicting excess weight gain, the variable was grouped into two levels: active versus inactive. Strengths and limitations of the approach used to capture information on diet and physical activity are thoroughly described elsewhere.22

Available information on socio-demographic, biological and reproductive characteristics included civil status (married/living with someone versus single/divorced), occupation during pregnancy (employed versus unemployed/student) parity (no previous child versus at least one previous child), birthing method (normal vaginal birth versus cesarean section), gestational age and infant birth-weight.

This study was approved by the Ethics Committee of the Karolinska Institute. All women provided written informed consent.

Data analysis 

Descriptive statistics include mean and standard deviation (SD) for continuous variables and frequency distributions for binary/categorical variables. Chi-square tests were used to detect differences in binary/categorical variables across smoking groups. Analysis of variance (ANOVA) was used to compare means, where more than two groups were formed. Bonferroni correction for the effect of multiple comparisons was applied when making pairwise comparisons among non-smokers, quitters and smokers. The association between gestational weight gain above IOM recommendations and prenatal smoking cessation was assessed by logistic regression after adjustment for potential confounders. Analyses were performed using Stata 9.0 (StataCorp, Texas).

Results 

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Mean maternal age at birth was 29.6 (SD 4.7), ranging from 18 to 45 years. In the study sample, 22.2% of the women identified themselves as current smokers and 11.6% reported smoking cessation during pregnancy. As shown in Table 1, quitters were younger than non-smokers. Compared to non-smokers and quitters, smokers were more likely to be single, have infants with the lowest birth-weight and gestational age, have a previous child and were less likely to give birth through normal vaginal method. There were no significant differences in pre-pregnancy BMI and occupation across groups.

Table 1.

Maternal socio-demographic and biological characteristics according to prenatal smoking status.

Non-smokers
Quitters
Smokers
p-Value
n=1159n=390n=204
Socio-demographic characteristics
Age (years)a29.9 (4.5)28.6 (4.9)29.0 (4.8)<0.001
Civil statusb <0.001
Single/divorced5.2%8.4%14.8%
Occupation during pregnancyb 0.381
Unemployed/student10.3%13.2%9.7%

Biological and reproductive characteristics
Parityb <0.001
No previous child51.6%65.7%48%
Birthing methods 0.05
Normal89.7%86.3%85.6%
Excess weight gainb <0.05
Yes27.4%37.2%27.8%
Total weight gain (kg)a14.1 (4.0)15.3 (4.4)13.8 (4.3)<0.001
Pre-pregnancy BMI (kg/m2)a21.6 (2.7)21.2 (2.4)21.5 (2.8)0.181
Gestational age (weeks)a39.6 (1.7)39.4 (1.7)39.3 (1.8)<0.01
Infant birth-weight (kg)a3.5 (0.5)3.4 (0.5)3.3 (0.5)<0.001
a

ANOVA.

b

Chi-square test.

Quitters gained significantly more weight during pregnancy than both non-smokers (1.2kg; p<0.001) and smokers (1.5kg; p<0.001), but the weight gain difference between non-smokers and smokers (0.3kg; p=0.7) was not statistically significant. Although quitters had the highest gestational weight gain, they gave birth to infants with almost the same mean birth-weight as non-smokers. In total 37.2% of quitters versus 27.4% of non-smokers gained weight above IOM recommendations (p<0.01). There was no significant difference in the percentage of women who gained excess weight between non-smokers (27.4%) and smokers (27.8%).

Table 2 compares maternal lifestyle characteristics according to prenatal smoking status. Non-smokers were more likely to be physically active before and during pregnancy and have regular eating habits (meals frequency). Smokers had the highest frequency of low breakfast quality score.

Table 2.

Maternal lifestyle characteristics according to prenatal smoking status.

Non-smokers
Quitters
Smokers
p-Value
n=1159n=390n=204
Physical activity
Level before pregnancy <0.001
Inactive14.5%19.8%25.5%
Medium49.8%50.8%53.5%
High35.7%29.4%21.0%
Level during pregnancy <0.01
Inactive27.5%36.6%36.6%
Medium59.9%52.1%54.8%
High12.6%11.3%8.6%
Activity practice before and during pregnancy <0.001
Inactive before and during pregnancy12.5%17.5%21.9%
Active before and inactive during pregnancy15.4%18.7%14.9%
Inactive before and active during pregnancy2.1%2.8%3.8%
Active before and during pregnancy70.0%61.0%59.4%

Food habits (frequency/quality)
Food craving during pregnancy 0.08
Yes50.6%58.68%53.6%
Having breakfast every-day during pregnancy <0.01
Yes93.6%90.1%88.0%
Having lunch every-day during pregnancy <0.001
Yes72.8%69.0%60.0%
Consumption of snacks/sweets between meals during pregnancy 0.426
≥3 times/day37.1%41.7%36.7%
Frequency of cooked meals during pregnancy 0.364
≥2 times/day59.7%59.3%55.6%
Breakfast quality during pregnancy <0.001
Low22.9%24.7%40.5%
Medium48.6%42.9%39.6%
High28.5%32.4%19.8%
Breakfast quality before and during pregnancy <0.001
Low quality before and during pregnancy20.7%22.0%37.0%
Medium/high quality before and low during pregnancy1.2%2.2%2.1%
Low quality before and medium/high during pregnancy1.8%3.5%2.7%
Medium/high quality before and during pregnancy76.3%72.3%58.1%
Alcohol consumption during pregnancy <0.01
No26.1%19.1%20.9%
Quit58.5%64.8%68.2%
Yes15.4%16.1%10.9%

Dietary advice during pregnancy
Dietary advice 0.132
Yes62.2%54.6%60.2%
Lack of information about diet during pregnancy 0.527
Yes30.0%32.5%28.0%

Chi-square test performed.

The percentage of women who received dietary advice or reported lack of information about diet during pregnancy did not differ across smoking groups. Among those who received dietary advice during prenatal care, there were no differences between non-smokers, quitters or smokers whether advice was given by midwives, dietitians or via brochures. The majority (68%) received advice from midwives (results not shown). Similarly, no differences were seen across smoking groups regarding food craving and any particular food group (results not shown).

Lifestyle changes during pregnancy were more frequent (p<0.05) among quitters who reported the highest frequency (3.5%) of improvement in their breakfast quality from low quality before pregnancy to medium or high quality during pregnancy, compared to non-smokers (1.8%) and smokers (2.7%). However, the group of quitters also had the highest proportion of women (18.7%) who were previously active, but stopped exercising during pregnancy. Conversely, alcohol consumption throughout pregnancy was more frequent among quitters than was in others.

Interestingly, alcohol abstinence was more frequent among smokers (68.2%) than non-smokers (58.5%). However, smoking abstinence was similarly frequent among smokers and quitters (68.2% versus 64.8% p=0.2). Among women who stopped drinking only 10% reduced smoking intensity from >10 cigarettes/day before pregnancy to ≤10 cigarettes/day during pregnancy (results not shown).

Table 3 displays the results of the logistic regression models. As expected, in the full model, women who quit smoking during pregnancy had greater risk (OR=2.0; 95%CI 1.4–3.0) of gaining weight above IOM recommendations compared to women who never smoked, after adjustment for infant birth-weight, gestational age, maternal parity, pre-pregnancy BMI, alcohol consumption, physical activity and breakfast frequency. Unexpectedly, smokers had 30% greater risk of having excess weight gain than non-smokers, though this difference was not statistically significant (OR=1.3; 95%CI 0.9–1.8).

Table 3.

Association between excess gestational weight gain and prenatal smoking status.

Smoking status
Crude
Adjusteda
OR95%CIp-ValueOR95%CIp-Value
Quit smoking1.61.1/2.1<0.012.01.4/3.0<0.0001
Smoking1.00.8/1.30.9221.30.9/1.80.09

Reference category: never smoking.

a

Adjusted for birth-weight, gestational age, parity, pre-pregnancy BMI, alcohol consumption, physical activity before and during pregnancy (active/inactive) and breakfast frequency during pregnancy.

Discussion 

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In this study, prenatal smoking cessation was an independent predictor of gaining weight above IOM guidelines. This finding is consistent with other studies,6, 8 but not all.23 In the latter study,23 smoking cessation doubled the risk of gaining excess weight, but the association was no longer significant after adjustment for dietary factors. In addition, it is possible that failure to adjust for alcohol consumption, food habits and physical activity in the former studies6, 8 may have either under- or overestimated the true association between smoking cessation and weight gain.

The multivariate model showed that smokers had a slightly higher chance of gaining excess weight than non-smokers, but the estimate was not statistically significant and this finding was consistent with previous reports.1, 6 There is evidence that any reduction in smoking habits has the potential to result in additional weight gain.6, 24 Thereby, this finding might reflect the decrease in numbers of cigarettes smoked during pregnancy, especially among heavy smokers, and inclusion of women who either tried to quit smoking in early gestation, but relapsed or quit smoking at advanced stage of pregnancy.25 Stratifying the analysis according to the time of quitting (early versus late pregnancy) was not possible, due to the few number of women included in these groups. Furthermore, it was not possible to assess whether the relationship between smoking and weight gain was dose-dependent. The dose–response analysis had limited statistical power to detect difference between groups because few women reduced smoking intensity from>10 cigarettes/day before pregnancy to ≤10 cigarettes/day during pregnancy.

Maternal characteristics differed significantly according to prenatal smoking status. As expected, smokers were more likely to report low quality of breakfast and irregular eating habits, while non-smokers were more likely to have a healthier lifestyle. Quitters also adopted healthier eating habits (e.g. improvement in their breakfast quality). Surprisingly, alcohol abstinence was more frequent among smokers than non-smokers. There are two possible interpretations of this finding. The first is that smokers underreported their consumption of alcohol and the second is that they were concerned about fetal health. Smoking is a well-known risk factor for negative pregnancy outcomes and smoking mothers possibly tried to avoid another risk factor by suspending alcohol consumption during pregnancy.

About one third of women reported that they would like to have received more information about diet during pregnancy. Self-perceived lack of dietary advice was significantly associated with excess weight gain. However, the association was abolished after adjustment for pre-pregnancy BMI. It is unclear whether the advice given was ineffective, or whether women did not accurately recall the advice they had actually received. Dietary advice from a midwife or from elsewhere was not statistically significant in explaining excess weight gain during pregnancy. Regrettably, a detailed description of the dietary advice and further information on the women's views on dietary advice was not available. Reverse causality is also a potential concern because women were asked about dietary advice after birth. Women who gained excess weight or were overweight prior to gestation might be inclined to report lack of dietary information during prenatal care.

This study included a large number of women and hence required a simplified dietary and physical activity questionnaire. It remains uncertain if the significant association between smoking cessation and maternal weight gain after controlling for lifestyle factors was due to limitations of the questionnaire in capturing maternal food habits. Although an accurate measure of energy intake was not used in this study, breakfast frequency and quality were found to be inversely associated with obesity and chronic disease in a recent review.26 This might indicate that mealtime regularity and quality can be used as surrogate measures for maternal dietary habits.

Recall bias is also a concern as women might not have reported accurately or remembered their dietary habits or degree of physical activity before and during pregnancy. Therefore, the method used might have given an inaccurate picture of maternal habits. Nevertheless, lifestyles matters are better recalled in connection with pregnancy than during other periods in life.27 It is possible that some women have under-reported their dietary intake and over-reported their physical activity level. However, the tendency for women to give an embellished picture of their habits during pregnancy is as likely to occur when using short-method as with more detailed questionnaires.

Gestational weight gain was calculated using maternal weight measured at the end of gestation at the maternity unit. This procedure ensured that women did not experience additional weight gain that was not accounted for. Although one important limitation was the use of self-reported pre-pregnancy weights, which is prone to bias, our previous validation study showed that the information was of good quality.19

Smoking habits were also self-reported. Reliance on self-reported smoking status may result in exposure misclassification because of increased concern of the negative effects of smoking during pregnancy.28 In this study, smoking prevalence was lower (22.2%) than the national statistics (31%) for 1983.29 About 34% of previous smokers (n=594) quit smoking upon pregnancy. This estimate is in accordance with previous literature reporting that 20–40% of smokers quit after conception and that the majority do so in early pregnancy.4 If women reported smoking cessation while continuing to smoke, it would underestimate our results.

Additionally, smoking rate was higher among non-completers than completers and it may indicate the presence of selection bias or a ‘healthy participant effect’. However, the extensive analyses of losses to follow-up showed that, for most variables under study, the remaining women were reasonably representative of the initial cohort.19, 21

The prevalence of obesity in this study (2.0%) was lower than the corresponding national prevalence (5.6%) at that time.30 Since obesity prior to pregnancy is a strong predictor of excess gestational weight gain,31 it seems that the higher risk group was underrepresented in this study. This may have led to an underestimation of our findings.

The prevalence of obesity in Sweden is lower than in many other Western countries. Meanwhile, the increasing trend of obesity is alarming. In 2004/2005 about 8% of women of childbearing age were obese.32 Similarly, smoking prevalence in Sweden is lower compared to some Western countries. In 1993, a comprehensive Tobacco Act was implemented and the adverse effects of cigarette smoking during pregnancy have been well publicised since. Consequently, the prevalence of daily cigarette smoking among pregnant women has been declining steadily. In 2003, 10% of pregnant women in Sweden were daily smokers in early pregnancy.29 This decline was due to decrease in smoking initiation and increase in smoking cessation in pregnancy. Furthermore, the weight gain data were recorded before the release of IOM guidelines. There were no formal recommendations for gestational weight gain in Sweden in 1984/1985. In light of these particularities, it is unknown to what extent these results could be generalized to other populations.

Notwithstanding our data were collected in 1984/1985, the topic of gestational weight gain associated with smoking cessation during pregnancy is still timely due to the scarcity of studies addressing this issue. The findings preseted in this study could be used as a groundwork for future studies where detailed information on important counfounder, such as, dietary habits and physical activity level, might be available. Additionally, there is no reason to suspect that biological mechanisms behind post-cessation weight gain have changed from the 1980s to 2000s. Since our data are from the 1980s, when smoking cessation during pregnancy and maternal obesity were less prevalent, it is speculated that the risk of gaining excess weight during pregnancy might be of greater magnitude among contemporary Swedish women.

Despite the potential limitations, this is one of a few studies with information on prenatal smoking cessation together with other relevant maternal lifestyle factors both before and during pregnancy in a large sample.

Conclusion 

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This study indicated that smoking cessation in early pregnancy doubled the likelihood of gaining weight above IOM recommendations even after controlling for other lifestyle factors. Excess gestational weight gain may ultimately increase the risk of postpartum weight retention and long-term obesity.13, 33 Nonetheless, the literature shows that smoking cessation might reduce the risks of premature birth, intrauterine growth restriction and maternal smoking-related cancers and cardiovascular diseases.9 Therefore, an increased weight gain among quitters does not override the potential benefits of smoking cessation during pregnancy.

Our findings highlight the need for supportive measures to control weight gain among women who quit smoking during pregnancy. Epidemiological studies suggest that pregnant women are more likely to gain weight within the recommended guidelines if their physicians or midwives instruct them to do so.34, 35 If health professionals identify women who quit smoking in early pregnancy and give individual advice regarding healthy weight gain during pregnancy the number of quitters and long-term abstainers may increase with a reduction in the number of women resuming smoking following birth.36 Interventions designed to prevent excess weight gain associated with smoking cessation should encourage women to remain physically active and adopt healthy eating habits during pregnancy.

Acknowledgements 

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We thank Agneta Öhlin, who was responsible for the data collection until 1990, MH and AA for the revision of the manuscript, Brazilian Foundation (CAPES) for supporting ARA, and AFA for supporting MN.

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a Obesity Unit, Karolinska University Hospital, Stockholm, Sweden

b Department of Epidemiology, Rio de Janeiro State University, Rio de Janeiro, Brazil

Corresponding Author InformationCorresponding author at: Obesity Unit, Karolinska University Hospital, Huddinge, SE-141 86 Stockholm, Sweden. Tel.: +46 8 5858 2483; fax: +46 8 774 99 62.

PII: S1871-5192(09)00046-8

doi:10.1016/j.wombi.2009.05.002


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