Bone health in women with a history of gestational diabetes or obesity

Introduction Type 2 diabetes is associated with an increased risk of bone fractures. However, bone health of women with a history of gestational diabetes (GDM) has received little attention. This cross-sectional study compares bone health between premenopausal women with and without a history of GDM, and examines factors associated with bone health in women with a history of GDM or obesity. Material and methods We measured areal bone mineral density for total hip, lumbar spine and whole body, and total body fat percentage (fat%) with dual-energy X-ray absorptiometry in 224 women. In addition, we measured bone characteristics of radius and tibia with peripheral quantitative computed tomography. Results When compared with women without a history of GDM (mean age 39 years [SD 5], body mass index [BMI] 35 kg/m(2) [SD 6], fat% 48 [SD 7]), women with a history of GDM (age 41 years [SD 4], BMI 31 kg/m(2) [SD 7], fat% 43 [SD 10]) had lower hip and whole body bone mineral densities, and inferior tibia outcomes. However, the differences in bone characteristics disappeared after controlling for age, height, BMI and fat%. After controlling for age, height, BMI and smoking, physical activity and healthier diet were positively associated with bone outcomes, whereas fat%, HbA(1c) and screen time were negatively associated with bone outcomes. Particularly, fat% showed independent negative associations with whole body bone mineral density and several tibia and radius characteristics. Conclusions Fat% is associated with adverse bone health, independently of BMI, in women with a history of GDM or obesity. Promoting healthy lifestyle and reducing fat% in high-risk women could improve bone health and prevent future fractures.Peer reviewe

Heterogeneity of gestational diabetes (GDM) and challenges in developing a GDM risk score

AimsGestational diabetes (GDM) affects a growing number of women and identification of individuals at risk, e.g., with risk prediction models, would be important. However, the performance of GDM risk scores has not been optimal. Here, we assess the impact of GDM heterogeneity on the performance of two top-rated GDM risk scores.MethodsThis is a substudy of the RADIEL triala lifestyle intervention study including women at high GDM risk. We assessed the GDM risk score by Teede and that developed by Van Leeuwen in our high-risk cohort of 510 women. To investigate the heterogeneity of GDM, we further divided the women according to GDM history, BMI, and parity. With the goal of identifying novel predictors of GDM, we further analyzed 319 women with normal glucose tolerance in the first trimester.ResultsBoth risk scores underestimated GDM incidence in our high-risk cohort. Among women with a BMI30kg/m(2) and/or previous GDM, 49.4% developed GDM and 37.4% received the diagnosis already in the first trimester. Van Leeuwen score estimated a 19% probability of GDM and Teede succeeded in risk identification in 61%. The lowest performance of the risk scores was seen among the non-obese women. Fasting plasma glucose, HbA(1c), and family history of diabetes were predictors of GDM in the total study population. Analysis of subgroups did not provide any further information.ConclusionsOur findings suggest that the marked heterogeneity of GDM challenges the development of risk scores for detection of GDM.Peer reviewe

Macronutrient intake during pregnancy in women with a history of obesity or gestational diabetes and offspring adiposity at 5 years of age

Background/objectives The impact of maternal macronutrient intake during pregnancy on offspring childhood adiposity is unclear. We assessed the associations between maternal macronutrient intake during and after pregnancy with offspring adiposity at 5 years of age. Additionally, we investigated whether gestational diabetes (GDM), BMI, or breastfeeding modified these associations. Subjects/methods Altogether, 301 mother-child dyads with maternal prepregnancy BMI >= 30 and/or previous GDM participated in the Finnish Gestational Diabetes Prevention Study (RADIEL) and its 5 years follow-up. Macronutrient intakes (E%) were calculated from 3-day food records collected at 5-18 weeks' gestation, in the third trimester, and at 12 months and 5 years after pregnancy. Offspring body fat mass (BFM) and fat percentage (BF%) at 5 years were measured by bioimpedance. Statistical analyses were multivariate linear regression. Results Mean (SD) prepregnancy BMI was 33(4) kg/m(2). GDM was diagnosed in 47%. In normoglycemic women, higher first half of pregnancy n-3 PUFA intake was associated with lower offspring BFM (g) (ss -0.90; 95% CI -1.62, -0.18) and BF% (ss -3.45; 95% CI -6.17, -0.72). In women with GDM, higher first half of pregnancy n-3 PUFA intake was associated with higher offspring BFM (ss 0.94; 95% CI 0.14, 1.75) and BF% (ss 3.21; 95% CI 0.43, 5.99). Higher SFA intake in the third trimester and cumulative intake across pregnancy (mean of the first half and late pregnancy) was associated with higher BFM and BF% (across pregnancy: ss 0.12; 95% CI 0.03, 0.20 and ss 0.44; 95% CI 0.15, 0.73, respectively). Higher carbohydrate intake across pregnancy was associated with lower BFM (ss -0.044; 95% CI -0.086, -0.003), and borderline associated with BF% (ss -0.15; 95% CI -0.31, 0.00). Conclusions The macronutrient composition of maternal diet during pregnancy is associated with offspring BFM and BF% at 5 years. GDM modifies the association between prenatal n-3 PUFA intake and offspring anthropometrics.Peer reviewe

Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women : Study protocol for a quasi-experimental trial

ObjectivesTo assess, in terms of self-efficacy in weight management, the effectiveness of the SLIM lifestyle intervention among overweight or obese women during pregnancy and after delivery, and further to exploit machine learning and event mining approaches to build personalized models. Additionally, the aim is to evaluate the implementation of the SLIM intervention.MethodsThis prospective trial, which is a non-randomized, quasi-experimental, pre-post intervention, includes an embedded mixed-method process evaluation. The SLIM Intervention is delivered by public health nurses (n = 9) working in maternity clinics. The public health nurses recruited overweight women (n = 54) at their first antenatal visit using convenience sampling. The core components of the intervention i.e. health technology, motivational interviewing, feedback, and goal setting, are utilized in antenatal visits in maternity clinics starting from gestational week 15 or less and continuing to 12 weeks after delivery. Mixed effect models are used to evaluate change over time in self-efficacy, weight management and weight change. Simple mediation models are used to assess calories consumed and moderate to vigorous physical activity (MVPA) as mediators between self-efficacy and weight change. Signal processing and machine learning techniques are exploited to extract events from the data collected via the Oura ring and smartphone-based questionnaires.DiscussionThe SLIM intervention was developed in collaboration with overweight women and public health nurses working in maternity clinics. This study evaluates the effectiveness of the intervention among overweight women in increasing self-efficacy and achieving a healthy weight; thus, impacting the healthy lifestyle and long-term health of the whole family. The long-term objective is to contribute to women's health by supporting weight-management through behavior change via interventions conducted in maternity clinics.Peer reviewe

Äidin tyypin 1 diabeteksen vaikutus sikiön ja vastasyntyneen terveyteen

Vertaisarvioitu. English summary.Tyypin 1 diabetesta sairastavan naisen raskauteen liittyy merkittävästi suurentunut obstetristen komplikaatioiden ja vastasyntyneen hoidontarpeen riski. Viidesosa tyypin 1 diabetesta sairastavien äitien lapsista joutuu vastasyntyneiden teho-osastolle ja joka toinen lastenosastolle hoitoon synnytyksen jälkeen. Tavallisimpia ongelmia ovat hypoglykemia, makrosomia ja siihen liittyvät synnytysvauriot, vastasyntyneen hengitysongelmat, hyperbilirubinemia ja ennenaikaisuus. Tyypin 1 diabetesta sairastavan naisen raskaus vaatii huolellista suunnittelua ja diabeteksen hoidon optimointia ennen raskautta sekä tiivistä moniammatillista seurantaa raskausaikana. Uudet kansainväliset hoitosuositukset korostavat glukoosipitoisuuden vaihtelun vähentämisen merkitystä. Raskauden suunnittelussa ja raskausajan hoitotavoitteena tuleekin olla riittävä aika glukoositavoitteessa (time in range, TIR). Jatkuvan glukoosiseurannan avulla voidaan vähentää äidin glukoosipitoisuuden vaihtelua ja vastasyntyneen ongelmia.Peer reviewe

Oral Health in Women with a History of High Gestational Diabetes Risk

We studied oral health in 115 women with and without a history of gestational diabetes (GDM), expecting poorer oral health in the GDM group. Full-mouth examinations were performed 5 years postpartum and the number of teeth, total dental index (TDI) and decayed, missing, filled teeth (DMFT) index were calculated. Bleeding on probing (BOP), probing depth (PD), visible plaque index (VPI), and clinical attachment level (CAL) were recorded. The periodontal inflammatory burden index (PIBI) was calculated. Panoramic radiographs were taken and signs of infections recorded. Oral health habits, symptoms and participants’ own opinion of oral health were recorded with questionnaires. At the time of examination, 45% of the women had a history of GDM in the index pregnancy. Mild periodontitis (62%) and bleeding on probing (46%) were common. VPI (13% and 17%, p = 0.009) and PIBI (13.1 and 17.5, p = 0.041) were lower among women with a history of GDM compared with those with no history of GDM. There was no difference between groups in DMFT scores. All women reported good subjective oral health. Thus, contrary to our hypothesis, women with a history of GDM showed better oral health parameters than women without a history of GDM

Heterogeneity of gestational diabetes (GDM) and long-term risk of diabetes and metabolic syndrome : findings from the RADIEL study follow-up

To assess the metabolic health of obese and non-obese women at high GDM risk 5 years postpartum. This is a secondary analysis of the 5-year follow-up of the RADIEL GDM prevention study including 333 women at high GDM risk (BMI ae 30 kg/m(2) and/or previous GDM). Five years postpartum metabolic health was assessed including anthropometric measurements, oral glucose tolerance test, lipid metabolism, and body composition as well as medical history questionnaires. For the analysis, we divided the women into four groups based on parity, BMI, and previous history of GDM. Five years postpartum impaired glucose regulation (IFG, IGT, or diabetes) was diagnosed in 15% of the women; 3.6% had type 2 diabetes. The highest prevalence was observed among obese women with a history of GDM (26%), and the lowest prevalence (8%) among primiparous obese women (p = 0.021). At follow-up 25-39% of the obese women fulfilled the diagnostic criteria for the metabolic syndrome, in the non-obese group 11% (p <0.001). This was associated with body fat percentage. The non-obese group, however, faced metabolic disturbances (IFG, IGT, diabetes, or metabolic syndrome) at a significantly lower BMI (p <0.001). Among women who were non-obese before pregnancy, 5 years postpartum, the obesity prevalence based on BMI was 14% and based on body fat percentage 58%. The prevalence of impaired glucose regulation and metabolic syndrome is high 5 years postpartum among women at high risk of GDM. There are high-risk women also among the non-obese, who develop metabolic derangements already at a lower BMI.Peer reviewe

Lifestyle and glycemic health 5 years postpartum in obese and non-obese high diabetes risk women

Aim Women with prior gestational diabetes (GDM) are at increased diabetes risk. This study aimed to assess whether lifestyle is associated with glycemic health of high-risk women 5 years postpartum, taking into account the pre-pregnancy BMI. Methods The RADIEL study enrolled before or in early pregnancy 720 women with pre-pregnancy BMI >= 30 kg/m(2)and/or prior GDM. The follow-up visit 5 years postpartum included questionnaires and measurements of anthropometrics, blood pressure, and physical activity (PA) as well as analyses of glucose metabolism, lipids, and inflammatory markers. We measured body composition (Inbody) and calculated a Healthy Food Intake Index (HFII) from Food Frequency Questionnaires (FFQ). ArmBand measured PA, sedentary time, and sleep. To take into account the diverse risk groups of GDM, we divided the women based on pre-pregnancy BMI over/under 30 kg/m(2). Results Altogether 348 women attended the follow-up. The obese and non-obese women showed similar prevalence of glycemic abnormalities, 13% and 19% (p = 0.139). PA levels were higher among the non-obese women (p <0.05), except for step count, and their HFII was higher compared to the obese women (p = 0.033). After adjusting for age, education, and GDM history, PA and HFII were associated with glycemic health only among obese women. When both lifestyle factors were in the same model, only PA remained significant. PA associated with other markers of metabolic health also among the non-obese women, excluding HbA1c. Conclusion Lifestyle 5 years postpartum was associated with better glycemic health only among the obese high-risk women. PA, however, is essential for the metabolic health of all high-risk women.Peer reviewe

Ascending Growth is Associated with Offspring Adiposity in Pregnancies Complicated with Obesity or Gestational Diabetes

Context: Early growth is associated with childhood adiposity, but the influence of lifestyle remains unknown. Objective: This work aimed to investigate the association of growth profiles from high-risk pregnancies with adiposity at age 5 years, taking into account lifestyle and several antenatal/postnatal exposures. Methods: This prospective cohort study included 609 children born during the Finnish Gestational Diabetes Prevention Study (RADIEL), recruiting women with body mass index (BMI) greater than or equal to 30 and/or prior gestational diabetes mellitus (GDM) (2008-2013). Altogether 332 children attended the 5-year follow-up (2014-2017). Main outcome measures included growth profiles based on ponderal index (PI = weight/height(3)), investigated using latent class mixed models. Adiposity was assessed with anthropometrics and body composition (InBody720). Results: We identified 3 growth profiles: ascending (n = 82), intermediate (n = 351), and descending (n = 149). Children with ascending growth had a higher body fat percentage, ISO-BMI, and waist circumference (P Conclusion: Accelerated early growth was associated with higher adiposity in 5-year-old children from high-risk pregnancies, even when adjusted for lifestyle. Reducing cesarean deliveries and promoting breastfeeding may be beneficial for postnatal growth.Peer reviewe

Genetic risk of type 2 diabetes modifies the effects of a lifestyle intervention aimed at the prevention of gestational and postpartum diabetes

Aims/hypothesis The aim of this study was to assess the interaction between genetic risk and lifestyle intervention on the occurrence of gestational diabetes mellitus (GDM) and postpartum diabetes. Methods The RADIEL study is an RCT aimed at prevention of GDM and postpartum diabetes through lifestyle intervention. Participants with a BMI >= 30 kg/m(2) and/or prior GDM were allocated to intervention and control groups before pregnancy or in early pregnancy. The study visits took place every 3 months before pregnancy, once in each trimester, and at 6 weeks and 6 and 12 months postpartum. We calculated a polygenic risk score (PRS) based on 50 risk variants for type 2 diabetes. Results Altogether, 516 participants provided genetic and GDM data. The PRS was associated with higher glycaemic levels (fasting glucose and/or HbA(1c)) and a lower insulin secretion index in the second and third trimesters and at 12 months postpartum, as well as with a higher occurrence of GDM and glycaemic abnormalities at 12 months postpartum (n = 356). There was an interaction between the PRS and lifestyle intervention (p=0.016 during pregnancy and p=0.024 postpartum) when analysing participants who did not have GDM at the first study visit during pregnancy (n = 386). When analysing women in tertiles according to the PRS, the intervention was effective in reducing the age-adjusted occurrence of GDM only among those with the highest genetic risk (OR 0.37; 95% CI 0.17, 0.82). The risk of glycaemic abnormalities at 12 months postpartum was reduced in the same group after adjusting additionally for BMI, parity, smoking and education (OR 0.35; 95% CI 0.13, 0.97). Conclusions/interpretation Genetic predisposition to diabetes modifies the response to a lifestyle intervention aimed at prevention of GDM and postpartum diabetes. This suggests that lifestyle intervention may benefit from being tailored according to genetic risk.Peer reviewe