M.U. Jakobsen

Dietary glycaemic index, glycaemic load and subsequent changes of weight and waist circumference in European men and women

Objectives:To investigate whether dietary glycaemic index (GI) and glycaemic load (GL) were associated with subsequent weight and waist circumference change.Design:Population-based prospective cohort study.Setting:Five European countries, which are Denmark, Germany, Italy, The Netherlands and the United Kingdom.Participants:A total of 89 432 participants, aged 20–78 years (mean =53 years) at baseline and followed for 1.9–12.5 years (mean=6.5 years). All participants were free of self-reported cancer, cardiovascular diseases and diabetes at baseline.Methods:Glycaemic index and GL were calculated on the basis of dietary intake assessed by food frequency questionnaires and by using a GI table developed for this study with published GI values as the main sources. Anthropometric data were collected both at baseline and at the end of follow-up. Multiple linear regression analyses were conducted in each centre and random-effect meta-analyses were used to combine the effects. Adjustment was made for baseline anthropometrics, demographic and lifestyle factors, follow-up duration and other dietary factors.Results:Mean GI and GL were 57 and 134, respectively. Associations of GI and GL with subsequent changes of weight and waist circumference were heterogeneous across centres. Overall, with every 10-unit higher in GI, weight increased by 34 g per year (95% confidence interval (CI): −47, 115) and waist circumference increased by 0.19 cm per year (95% CI: 0.11, 0.27). With every 50-unit higher in GL, weight increased by 10 g per year (95% CI: −65, 85) and waist circumference increased by 0.06 cm per year (95% CI: −0.01, 0.13).Conclusions:Our findings do not support an effect of GI or GL on weight change. The positively significant association between GI, not GL, and subsequent gain in waist circumference may imply a beneficial role of lower GI diets in the prevention of abdominal obesity. However, further studies are needed to confirm this finding given the small effect observed in this study.

Eating out, weight and weight gain. A cross-sectional and prospective analysis in the context of the EPIC-PANACEA study

Objective:The aim of this study was to examine the association of body mass index (BMI) and weight gain with eating at restaurants and similar establishments or eating at work among 10 European countries of the European Prospective Investigation into Cancer and Nutrition (EPIC) study.Subjects:This study included a representative sample of 24 310 randomly selected EPIC participants.Methods:Single 24-h dietary recalls with information on the place of consumption were collected using standardized procedures between 1995 and 2000. Eating at restaurants was defined to include all eating and drinking occasions at restaurants, cafeterias, bars and fast food outlets. Eating at work included all eating and drinking occasions at the workplace. Associations between eating at restaurants or eating at work and BMI or annual weight changes were assessed using sex-specific linear mixed-effects models, controlling for potential confounders.Results:In southern Europe energy intake at restaurants was higher than intake at work, whereas in northern Europe eating at work appeared to contribute more to the mean daily intake than eating at restaurants. Cross-sectionally, eating at restaurants was found to be positively associated with BMI only among men (β=+0.24, P=0.003). Essentially no association was found between BMI and eating at work among both genders. In a prospective analysis among men, eating at restaurants was found to be positively, albeit nonsignificantly, associated with weight gain (β=+0.05, P=0.368). No association was detected between energy intake at restaurants and weight changes, controlling for total energy intake.Conclusion:Among men, eating at restaurants and similar establishments was associated with higher BMI and possibly weight gain.

Longitudinal changes in weight in relation to smoking cessation in participants of the EPIC-PANACEA study

PURPOSE We assessed the association between smoking cessation and prospective weight change in the European population of the European Prospective Investigation into Cancer and Nutrition-Physical Activity, Nutrition, Alcohol, Cessation of smoking, Eating out of home And obesity (EPIC-PANACEA) project. METHODS The study involved more than 300,000 healthy volunteers, recruited between 1992 and 2000 in 9 European countries, who provided data on anthropometry and smoking habits at baseline and after a follow-up of 5 years on average. Adjusted mixed-effects linear regression models were used to obtain sex-specific summary estimates of the association between the change in smoking status and the annual change in weight. RESULTS Smoking cessation tends to be followed by weight gain; when compared to stable smokers, annual weight gain was higher in men (0.44 kg (95%CI: 0.36; 0.52)) and women (0.46 kg (95%CI: 0.41; 0.52)) who stopped smoking during follow-up. When smokers who stopped smoking at least 1 year before recruitment were compared to never smokers, no major differences in annual weight gain were observed. The excess weight gain following smoking cessation appears to mainly occur in the first years following the cessation. CONCLUSIONS When considering the benefits of smoking cessation, such findings strengthen the need for promoting cessation offering information on weight gain control and support to weight-concerned smokers in order to remove a barrier to quitting.

Smoking and body fatness measurements: A cross-sectional analysis in the EPIC-PANACEA study

OBJECTIVE The present study investigates the cross-sectional relationship between tobacco smoking and body fatness. METHODS This cross-sectional study consisted of 469,543 men and women who participated in the European Prospective Investigation into Cancer and Nutrition (EPIC) study between 1992 and 2000 providing anthropometric measurements and information on smoking. Adjusted multilevel mixed-effects linear regression models were used to assess the association between smoking and body fat mass. RESULTS The analyses showed that BMI and WC were positively associated with smoking intensity in current smokers but negatively associated with time since quitting in former smokers. When compared to never smokers, average current smokers (17 and 13 cig/day for men and women, respectively) showed a lower BMI. When average former smokers (men and women who had stopped smoking for 16 and 15 years, respectively) were compared to never smokers, higher BMI and WC were observed in men, whereas no significant associations were observed in women. CONCLUSIONS This cross-sectional study suggests that smoking may be associated with body fatness and fat distribution. Although our findings cannot establish cause and effect, they suggest that providing information and support to those who want to stop may help in preventing weight gain and therefore weaken a barrier against stopping smoking.

Intake of ruminant trans fatty acids and changes in body weight and waist circumference

Background/Objectives:Follow-up studies have suggested that total intake of trans fatty acids (TFA) is a risk factor for gain in body weight and waist circumference (WC). However, in a cross-sectional study individual TFA isomers in adipose tissue had divergent associations with anthropometry. Our objective was to investigate the association between intake of TFA from ruminant dairy and meat products and subsequent changes in weight and WC. Furthermore, potential effect modification by sex, age, body mass index and WC at baseline was investigated.Subjects/Methods:Data on weight, WC, habitual diet and lifestyle were collected at baseline in a Danish cohort of 30 851 men and women aged 50–64 years. Follow-up information on weight and WC was collected 5 years after enrolment. The associations between intake of ruminant TFA (R-TFA) and changes in weight and WC were analysed using multiple linear regression with cubic spline modelling.Results:Intake of R-TFA, both absolute and energy-adjusted intake, was significantly associated with weight change. Inverse associations were observed at lower intakes with a levelling-off at intakes >1.2 g/day and 0.4 energy percentage (E %). Absolute, but not energy-adjusted, intake of R-TFA was significantly associated with WC change. An inverse association was observed at lower intakes with a plateau above an intake of 1.2 g/day.Conclusions:The present study suggests that intake of R-TFA is weakly inversely associated with changes in weight, whereas no substantial association with changes in WC was found.

Dietary fat intake in the European Prospective Investigation into Cancer and Nutrition

Objectives:This paper describes the dietary intake of total fat, saturated (SFA), monounsaturated (MUFA) and polyunsaturated fatty acids (PUFA) and cholesterol of participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) in 27 centres across 10 countries.Methods:Between 1995 and 2000, a stratified random sample of 36 034 participants (age range 35–74 years) completed a standardized 24-h dietary recall, assessed by means of the computer software EPIC-SOFT. Lipid intake data were calculated using a standardized nutrient database.Results:On average, the contribution of fat to total energy intake was ⩾34% of energy intake (%en) in women and ⩾36%en in men for most EPIC centres, except for the British, Dutch and most Italian cohorts. Total fat (>40%en) and MUFA intakes (21%en, mainly from olive oil) were highest in Greece. Except for the Greek, Spanish and Italian centres, the average MUFA intake ranged between 10 and 13%en, with a high proportion derived from animal sources. SFA intake in women and men was lowest in the Greek, Spanish, Italian and UK cohorts with an average of ⩽13%en (down to 9%en), and highest in the Swedish centres (16%en). The mean PUFA intake was in the range of 4–8%en, being highest in the UK health-conscious cohort. The average cholesterol intake across EPIC varied from 140 to 384 mg/d in women and 215–583 mg/d in men.Conclusions:The presented data show differences and similarities in lipid intake across the European EPIC cohorts and also show differences in food sources of dietary lipids.