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Kristiina Rönö,1 Beata Stach-Lempinen,2 Johan Gunnar Eriksson,3,4 Maritta Pöyhönen-Alho,1 Miira Marjuska Klemetti,1,2,5 Risto Paavo Roine,6,7 Emilia Huvinen,1 Sture Andersson,8 Hannele Laivuori,6,9–11 Anita Valkama,3,4 Jelena Meinilä,3,4 Hannu Kautiainen,3,12 Aila Tiitinen,1 Saila Birgitta Koivusalo1 1Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Women’s Hospital, Helsinki, Finland; 2Department of Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland; 3Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; 4Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; 5Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; 6Department of Health and Social Management, Research Centre for Comparative Effectiveness and Patient Safety, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland; 7Group Administration, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; 8University of Helsinki and Helsinki University Hospital, Children’s Hospital, Pediatric Research Center, Helsinki, Finland; 9Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; 10Department of Obstetrics and Gynecology, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland; 11Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland; 12Department of General Practice and Primary Health Care, University of Eastern Finland, Kuopio, Finland Purpose: Lifestyle intervention studies performed during pregnancy have shown inconsistent results in relation to prevention of gestational diabetes mellitus (GDM). Therefore, the aim of this study was to assess the effect of an intervention initiated already before pregnancy in prevention of GDM in high-risk women.Patients and methods: A randomized controlled trial was conducted in four Finnish maternity hospitals between the years 2008 and 2014. Altogether 228 high-risk women planning pregnancy were randomized to an intervention (n=116) or a control group (n=112). The risk factors were body mass index ≥30kg/m2 (n=46), prior GDM (n=120), or both (n=62), without manifest diabetes at study inclusion. Trained study nurses provided individualized lifestyle counseling every 3months in addition to a group session with a dietician. The control group received standard antenatal care. GDM was defined as one or more pathological glucose values in a 75g 2-hour oral glucose tolerance test, performed between 12 and 16weeks of gestation and if normal repeated between 24 and 28weeks of gestation.Results: Within 12months, 67% of the women (n=72) in the intervention group and 63% of the women (n=71) in the control group (p=0.84) became pregnant. The cumulative incidence of GDM among the women available for the final analyses was 60% (n=39/65) in the intervention group and 54% (n=34/63) in the control group (p=0.49). GDM was diagnosed already before 20weeks of gestation in 60% (n=44/73) of the cases.Conclusion: The preconceptional lifestyle intervention applied in the present study did not reduce the incidence of GDM. Keywords: preconception, pregnancy, obesity, nutrition, physical activity

Context Women with a history of gestational diabetes (GDM) have a sevenfold risk of developing type 2 diabetes. Objective To assess the effects of a lifestyle intervention during pregnancy and first postpartum year on glucose regulation, weight retention, and metabolic characteristics among women at high GDM risk. Design In the Finnish Gestational Diabetes Prevention study, trained study nurses provided lifestyle counseling in each trimester and 6 weeks, 6 months, and 12 months postpartum. Setting Three maternity hospitals in the Helsinki area and one in Lappeenranta. Patients In total, 269 women with previous GDM and/or a prepregnancy body mass index ≥30 kg/m2 were enrolled before 20 gestational weeks and allocated to either a control or an intervention group. This study includes the 200 participants who attended study visits 6 weeks and/or 12 months postpartum. Intervention The lifestyle intervention followed Nordic diet recommendations and at least 150 minutes of moderate exercise was recommended weekly. Main outcome measure The incidence of impaired glucose regulation (impaired fasting glucose, impaired glucose tolerance, or type 2 diabetes) during the first postpartum year. Results Impaired glucose regulation was present in 13.3% of the women in the control and in 2.7% in the intervention group [age-adjusted odds ratio, 0.18 (95% confidence interval, 0.05 to 0.65), P = 0.009] during the first postpartum year. There were no differences between the groups in weight retention, physical activity, or diet at 12 months postpartum. Conclusions A lifestyle intervention during pregnancy and the first postpartum year successfully reduced the incidence of postpartum impairment in glucose regulation.

Objective To assess the effect of lifestyle counseling on perinatal outcomes among women at high risk for gestational diabetes. Study design A total of 492 women with obesity and/or prior gestational diabetes were allocated to intervention (four sessions of lifestyle counseling, n = 249) or usual care (n = 243) before 20 weeks' gestation. Result Lifestyle indicators, gestational weight gain, or obstetric and perinatal outcomes did not differ between the two groups. An oral glucose tolerance test in the first half of pregnancy was pathological in 37.7% (n = 87/144) of intervention and 36.5% (n = 72/197) of control group women (p = 0.81). The total incidence of gestational diabetes diagnosed in the first or second half of pregnancy was 44.8% (107/239) in the intervention and 48.1% (111/231) in the control group (p = 0.48). Conclusions The high prevalence of impaired glucose metabolism was observed already in early pregnancy, which may have contributed to the lack of effect of the intervention.

Background Healthy diets before and during pregnancy have been suggested to reduce the risk of gestational diabetes (GDM). Several lifestyle intervention studies for pregnant women have reported dietary improvements after counselling. However, evidence concerning the effect of counselling initiated before pregnancy on diets is limited. Methods This randomised controlled study explored whether pre-pregnancy lifestyle counselling influenced food intakes, as well as whether changes in food intakes were associated with GDM. The participants comprised 75 women with prior GDM and/or a body mass index ≥ 30 kg m-2 . Women were randomised into a control or an intervention group, and their food intakes were followed from pre-pregnancy to early pregnancy using a food frequency questionnaire. The control and intervention groups were combined to assess the association between changes in food intakes and GDM. The diagnosis of GDM was based on a 75-g oral glucose tolerance test conducted in the first and second trimester of pregnancy. Results Pre-pregnancy lifestyle counselling showed no major overall effect on food intakes. The intake of low-fat cheese increased significantly in women who did not develop GDM compared to women who did after adjusting for potential confounders (P = 0.028). This association was not observed for regular-fat cheese. Conclusions The findings obtained in the present study suggest that an increased intake of low-fat but not regular-fat cheese between pre-pregnancy and early pregnancy is associated with a lower risk of GDM in high-risk women.

Background Maternal metabolic derangements associated with early pregnancy gestational diabetes may affect the fetus differently compared with gestational diabetes diagnosed later in pregnancy. The aim of this observational study was to assess neonatal outcomes according to timing of gestational diabetes diagnosis in obese women. Methods Women ≥18 years of age with a pre-pregnancy body mass index ≥30 kg/m2 were grouped according to the results of a 75 g 2-h oral glucose tolerance test performed at 13.1 weeks of gestation and repeated at 23.4 weeks if normal at first testing. The main outcomes were birthweight and large for gestational age. Results Out of 361 women, 164 (45.4%) were diagnosed with gestational diabetes, 133 (81.1%) of them in early pregnancy. The mean offspring birthweight was 3673 g (standard deviation (SD) 589 g) in the early and 3710 g (SD 552 g) in the late gestational diabetes group. In a multivariate logit model, the odds ratio for large for gestational age was 2.01 (95% CI: 0.39–10.39) in early compared with late gestational diabetes. Conclusions We observed no statistically significant differences in neonatal outcomes according to timing of gestational diabetes diagnosis. In addition to lack of power, early treatment of hyperglycemia may partly explain the results.

OBJECTIVE To assess whether gestational diabetes mellitus (GDM) can be prevented by a moderate lifestyle intervention in pregnant women who are at high risk for the disease. RESEARCH DESIGN AND METHODS Two hundred ninety-three women with a history of GDM and/or a prepregnancy BMI of ≥30 kg/m2 were enrolled in the study at RESULTS A total of 269 women were included in the analyses. The incidence of GDM was 13.9% in the intervention group and 21.6% in the control group ([95% CI 0.40–0.98%]; P = 0.044, after adjustment for age, prepregnancy BMI, previous GDM status, and the number of weeks of gestation). Gestational weight gain was lower in the intervention group (−0.58 kg [95% CI −1.12 to −0.04 kg]; adjusted P = 0.037). Women in the intervention group increased their leisure time physical activity more and improved their dietary quality compared with women in the control group. CONCLUSIONS A moderate individualized lifestyle intervention reduced the incidence of GDM by 39% in high-risk pregnant women. These findings may have major health consequences for both the mother and the child.

The aim was to analyse whether changes in the Healthy Food Intake Index (HFII) during pregnancy are related to gestational diabetes (GDM) risk. The 251 pregnant women participating had a pre-pregnancy BMI≥30 kg/m2 and/or a history of GDM. A 75 g oral glucose tolerance test (OGTT) was performed during the first and second trimesters of pregnancy for assessment of GDM. A normal OGTT result at first trimester was an inclusion criterion for the study. FFQ collected at first and second trimesters served for calculating the HFII. A higher HFII score reflects higher adherence to the Nordic Nutrition Recommendations (NNR) (score range 0–17). Statistical methods included Student’s t test, Mann–Whitney U test, Fisher’s exact test and linear and logistic regression analyses. The mean HFII at first trimester was 10·1 (95 % CI 9·7, 10·4) points, and the mean change from the first to the second trimester was 0·35 (95 % CI 0·09, 0·62) points. The range of the HFII changes varied from –7 to 7. The odds for GDM decreased with higher HFII change (adjusted OR 0·83 per one unit increase in HFII; 95 % CI 0·69, 0·99; P=0·043). In the analysis of the association between HFII-sub-indices and GDM, odds for GDM decreased with higher HFII-Fat change (fat percentage of milk and cheese, type of spread and cooking fats) but it was not significant in a fully adjusted model (P=0·058). Dietary changes towards the NNR during pregnancy seem to be related to a lower risk for GDM.

Obesity increases the risk of low 25-hydroxyvitamin D (25(OH)D) concentrations and gestational diabetes (GDM). We explored whether the association between GDM and change in 25(OH)D concentrations measured in the first (7-18 wk) and second (20-27 wk) trimesters of pregnancy is dependent on maternal BMI. The study was a prospective study of 219 women with BMI of ≥30 kg/m2, a history of GDM, or both. The participants were stratified by first-trimester BMI: BMI of

The aim of this study was to find the association between adherence to the Nordic Nutrition Recommendations (NNR) and glucose metabolism. Participants were 137 pregnant obese women or women with a history of gestational diabetes (GDM) from the Finnish Gestational Diabetes Prevention Study. Adherence to the NNR was assessed by the Healthy Food Intake Index (HFII) calculated from the first trimesters' food frequency questionnaires. Higher HFII scores reflected higher adherence to the NNR (score range 0-17). Regression models with linear contrasts served for the main analysis. The mean HFII score was 10.0 (s.d. 2.8). The odds for GDM decreased toward the higher HFII categories (P=0.067). Fasting glucose (FG) and 2hG concentrations showed inverse linearity across the HFII categories (P(FG)=0.030 and P(2hG)=0.028, adjusted for body mass index, age and GDM/pregnancy history). Low adherence to the NNR is associated with higher antenatal FG and 2hG concentrations and possibly GDM.

To study the incidence of gestational diabetes mellitus (GDM) in relation to phenotypic characteristics and gestational weight gain (GWG) among women at high risk for GDM.This is a secondary analysis of a GDM prevention study (RADIEL), a randomized controlled trial conducted in Finland. 269 women with a history of GDM and/or a pre-pregnancy body mass index (BMI) ≥ 30 kg/m(2) were enrolled before 20 weeks of gestation and divided into four groups according to parity, BMI and previous history of GDM. The main outcome was incidence of GDM.There was a significant difference in incidence of GDM between the groups (p 0.001). Women with a history of GDM and BMI 30 kg/m(2) showed the highest incidence (35.9%). At baseline they had fewer metabolic risk factors and by the second trimester they gained more weight. There was no interaction between GWG and GDM outcome and no significant difference in the prevalence of diabetes-associated antibodies.Despite a healthier metabolic profile at baseline the non-obese women with a history of GDM displayed a markedly higher cumulative incidence of GDM. GWG and the presence of diabetes-associated antibodies were not associated with GDM occurrence among these high-risk women. Key message Despite a healthier metabolic profile at baseline the non-obese women with previous gestational diabetes mellitus display a markedly higher cumulative incidence of gestational diabetes mellitus.

The physiological properties of clothing designed to provide protection against cold, windy and damp conditions affect comfort. The weight, thickness, stiffness of the fabrics and friction between the clothing layers affect physical performance. The comfort and perception of performance associated with 3 military winter combat clothing systems from different decades (the new M05 system, the previous M91 system and traditional clothing) were observed during a winter military manoeuvre. Subjective experiences concerning comfort and performance were recorded for 319 subjects using questionnaires. The most challenging conditions for comfort and performance were perspiration in the cold and external moisture. The new M05 system provided warmer thermal sensations (p < .010), dryer moisture sensations in the presence of external dampness (p < .001), dryer perspiration moisture sensations (p < .050) and better perception of physical (p < .001) and mental performance (p < .001) than the other systems. Careful development of the clothing system guarantees good comfort and performance during cold exposure.

The prevalence of gestational diabetes mellitus (GDM) is increasing worldwide. GDM may be prevented by improving the diets of pregnant women. The objective of this study was to evaluate the effect of dietary counselling on the diets of pregnant women at GDM risk.This study was a secondary analysis of a randomised controlled trial the Finnish gestational diabetes prevention study (RADIEL) in which pre-pregnant and pregnant women with previous GDM or BMI ⩾30 kg/m(2) were allocated into two groups, namely the control and the intervention groups. The control group received standard antenatal dietary counselling according to the Finnish Nutrition Recommendations. The intervention group participated in one individual dietary counselling session and one group dietary counselling session in addition to the standard counselling. This study included women who were recruited during pregnancy. To assess changes in food intake, food-intake questionnaires were collected during the first and the second trimester of pregnancy. Bootstrap type analysis of covariance was used, and 242 participants were included in the final analysis to study changes in food intake.The intakes of low-fat cheese (baseline adjusted mean 0.09 times/day; 95% confidence interval (CI) 0.07, 0.24; P=0.040) and fish (baseline adjusted mean 0.28 times per week; 95% CI 0.08, 0.49; P=0.011) showed a significant increase in the intervention group compared with the control group.This study showed that dietary counselling in early pregnancy can lead to modest dietary improvements in pregnant women at GDM risk.

To assess whether gestational diabetes mellitus (GDM) can be prevented by a moderate lifestyle intervention in pregnant women who are at high risk for the disease.Two hundred ninety-three women with a history of GDM and/or a prepregnancy BMI of ≥30 kg/m(2) were enrolled in the study at20 weeks of gestation and were randomly allocated to the intervention group (n = 155) or the control group (n = 138). Each subject in the intervention group received individualized counseling on diet, physical activity, and weight control from trained study nurses, and had one group meeting with a dietitian. The control group received standard antenatal care. The diagnosis of GDM was based on a 75-g, 2-h oral glucose tolerance test at 24-28 weeks of gestation.A total of 269 women were included in the analyses. The incidence of GDM was 13.9% in the intervention group and 21.6% in the control group ([95% CI 0.40-0.98%]; P = 0.044, after adjustment for age, prepregnancy BMI, previous GDM status, and the number of weeks of gestation). Gestational weight gain was lower in the intervention group (-0.58 kg [95% CI -1.12 to -0.04 kg]; adjusted P = 0.037). Women in the intervention group increased their leisure time physical activity more and improved their dietary quality compared with women in the control group.A moderate individualized lifestyle intervention reduced the incidence of GDM by 39% in high-risk pregnant women. These findings may have major health consequences for both the mother and the child.

Background : The prevalence of gestational diabetes (GDM) has been increasing along with the obesity pandemic. It is associated with pregnancy complications and a risk of type 2 diabetes. Objective : To study nutrient intake among pregnant Finnish women at increased risk of GDM due to obesity or a history of GDM. Design : Food records from obese women or women with GDM history ( n= 394) were examined at baseline (≤20 weeks of pregnancy) of the Finnish Gestational Diabetes Prevention Study. Results : The pregnant women had a mean fat intake of 33 en% (SD 7), saturated fatty acids (SFA) 12 en% (SD 3), and carbohydrate 46 en% (SD 6). Sucrose intake among pregnant women with GDM history was 7 en% (SD 3), which was different from the intake of the other pregnant women, 10 en% (SD 4) ( p< 0.001). Median intakes of folate and vitamins A and D provided by food sources were below the Finnish national nutrition recommendation, but, excluding vitamin A, supplements raised the total intake to the recommended level. The frequency of use of dietary supplements among pregnant women was 77%. Conclusions : The observed excessive intake of SFA and low intake of carbohydrates among women at high risk of GDM may further increase their risk of GDM. A GDM history, however, seems to reduce sucrose intake in a future pregnancy. Pregnant women at high risk of GDM seem to have insufficient intakes of vitamin D and folate from food and thus need supplementation, which most of them already take. Keywords : nutrition; pregnancy; diabetes; obesity; maternal nutrition; diet (Published: 19 May 2015) Citation: Food & Nutrition Research 2015, 59: 26676 - http://dx.doi.org/10.3402/fnr.v59.26676

The importance of overall diet in modifying circulating lipoprotein particles and fatty acids during pregnancy is unclear. We examined the relationships of diet quality as assessed by the validated Healthy Food Intake Index (HFII) with serum HDL, LDL and VLDL particle concentrations and sizes and proportions of serum fatty acids in pregnant women at high risk for gestational diabetes mellitus (GDM). Overall, 161 women with a BMI of ≥30 kg/m2and/or a history of GDM were drawn from the Finnish Gestational Diabetes Prevention Study, which is a dietary and exercise intervention trial to prevent GDM. At baseline, the HFII score was inversely related to concentrations of HDL particles (P=0·010) and MUFA (P=0·010) and positively related to concentrations ofn-3 (Pn-6 (P=0·003) PUFA. The significance for MUFA disappeared after adjustments. An increase in the HFII score from the first to second trimester of pregnancy correlated with reduced VLDL particle size (r−0·16, 95 % CI −0·31, −0·01), decreased MUFA concentrations (r−0·17, 95 % CI −0·31, −0·01) and elevatedn-6 PUFA concentrations (r0·16, 95 % CI 0·01, 0·31). In the maximum-adjusted model, the results remained significant except for VLDL particle size. These findings suggest that higher diet quality as defined by the HFII is related to a more favourable serum fatty acid profile, whereas the relationship with serum lipoprotein profile is limited in pregnant women at increased GDM risk.

Background The aim was to develop and validate a food-based diet quality index for measuring adherence to the Nordic Nutrition Recommendations (NNR) in a pregnant population with high risk of gestational diabetes (GDM). Methods This study is a part of the Finnish Gestational Diabetes Prevention Study (RADIEL), a lifestyle intervention conducted between 2008 and 2014. The 443 pregnant participants (61 % of those invited), were either obese or had a history of GDM. Food frequency questionnaires collected at 1st trimester served for composing the HFII; a sum of 11 food groups (available score range 0–17) with higher scores reflecting higher adherence to the NNR. Results The average HFII of the participants was 10.2 (SD 2.8, range 2–17). Factor analysis for the HFII component matrix revealed three factors that explained most of the distribution (59 %) of the HFII. As an evidence of the component relevance 9 out of 11 of the HFII components independently contributed to the total score (item-rest correlation coefficients