bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compared to women without obesity, women with obesity have reduced odds of breastfeeding initiation and breastfeeding at hospital discharge
Authors: O'Sullivan Elizabeth J. , Fallon Laura , Byrne Fionnuala , McAuliffe Fionnuala M 
Published: June 2020

AbstractWomen with obesity breastfeed for shorter durations than women of normal-weight body mass index (BMI). There is also evidence to suggest that women with obesity are less likely to initiate breastfeeding. This is important because breastfeeding is associated with a small, but significant, reduced risk of obesity among offspring; which may be particularly important for the offspring of mothers with obesity as these infants are at an increased risk of obesity. Using data prospectively collected during 2015 by medical staff in a large maternity hospital, we aimed to explore the association between maternal obesity status and early breastfeeding outcomes: breastfeeding initiation and exclusive breastfeeding at hospital discharge (approx. day 2 of life). Data were obtained from electronic records for all births in The National Maternity Hospital, Dublin in 2015. We included data from mothers who delivered a healthy, full-term, singleton infant (n = 7449). At the booking visit (approx. 12 weeks’ gestation), maternal height and weight were objectively measured by nursing staff and subsequently used to calculate BMI; other demographic data were recorded at this time. At delivery, epidural use, mode of delivery, and infant sex and weight were recorded. At discharge, mode of feeding was recorded. In SPSS, we explored unadjusted and adjusted associations between obesity status (BMI < 30kg/m2 [n = 964] vs. BMI ≥ 30kg/m2 [n = 6485]) and breastfeeding outcomes (dichotomous: yes/no) using Chi-squared analysis and multivariate logistic regression, respectively. In unadjusted analyses, there was a significant association between obesity status and breastfeeding initiation; 76% of women without obesity initiated breastfeeding compared with 59% of women with obesity (P < 0.001). There was also a significant association between obesity status and exclusive breastfeeding; 69% of women without obesity were exclusively breastfeeding at discharge compared with 37% of women with obesity (P < 0.001). In logistic regression analyses adjusted for maternal age, ethnicity, marital status, smoking status, parity, epidural use and delivery mode, the odds of women with obesity initiating breastfeeding were 51% lower than women without obesity (odds ratio [OR] 0.49, 95% confidence interval [CI] 0.42–0.57; P < 0.001). Similarly, in adjusted analyses, the odds of women with obesity exclusively breastfeeding at hospital discharge were 54% lower than women without obesity (OR 0.44, 95% CI 0.38–0.51; P < 0.001). Research is needed to understand whether the negative association between obesity and breastfeeding is biological or cultural in origin, or both. Interventions to promote and support breastfeeding among women with obesity may improve breastfeeding outcomes.
The impact of wealth status on dietary diversity of infants and young children in the Philippines
Authors: Lenighan Yvonne M. , Angeles-Agdeppa Imelda , Toledo Marvin B. , Capanzana Mario V. , Jacquier Emma F 
Published: June 2020

AbstractIntroductionDietary diversity and socio-economic status are recognised as determinants of childhood malnutrition. The impact of wealth status on dietary diversity of infants and toddlers in Filipino infants and toddlers is currently unknown. Therefore, the aim of this analysis was to describe the impact of wealth status on dietary patterns using data from the 2013 Feeding Infants and Toddlers Study (FITS).MethodsThe FITS is a cross-sectional, national survey of infants (6–11.9mo;n = 362), younger toddlers (12–17.9mo;n = 360) and older toddlers (18–23.9mo;n = 373). Dietary data were collected using 24-hour recalls. Percentage consumption of food groups were calculated. Data were stratified by socio-economic status (SES) based on the characteristics of their dwelling units.ResultsFifty percent of the population were classified as low-SES, 20% middle-SES and 30% high-SES. Rice was the most commonly consumed food across all ages, followed by human milk and infant formula in infants and younger toddlers. Sixty-nine percent of infants from the low-SES consumed human milk compared to 41% of infants from the high-SES. In contrast, infant formula was consumed by 62% of high-SES infants compared to 25% of low-SES infants. Similarly, 54% of younger toddlers from the low-SES consumed human milk, compared to 24% of children from the high-SES, and only 10% of toddlers from poor-SES consumed toddler formula, compared to 47% of toddlers from the high-SES. Differences in non-milk based food groups were more evident in the older toddlers. Rice was consumed by approximately 90% of this population. Fish consumption varied by SES among toddlers (45% in low-SES compared to 33% in high-SES). However, pork, chicken and sausages were consumed by less than 10% of toddlers from the low-SES compared to 18%, 16% and 25%, respectively, from the high-SES. Vegetables were more highly consumed by toddlers from the low-SES (34%) than the high-SES (27%). Approximately 20% of older toddlers consumed cookies and 22% consumed sugar sweetened beverages, while cakes were consumed by 18% of toddlers from the high-SES compared to only 5% of toddlers from the low-SES.DiscussionDietary diversity in Filipino infants and toddlers is very limited. Rice, human milk and infant formula are the main source of nutrients for infants and young toddlers. Typically, there is low consumption of vegetables and protein-containing foods and high consumption of sugary foods, which is further impacted by SES. These data can be used to support public health initiatives to improve dietary diversity in the first years of life.
Energy and protein intake of older residents in private nursing homes in Finland
Authors: Suominen Merja , Jussila Henriikka , Salmenius-Suominen Heli , Rapo Johanna 
Published: June 2020

AbstractIntroduction:Malnutrition, low body mass index (BMI), and nutritional problems are common among nursing home residents. Quality of care including nutrition in long term care has been criticised lately. Objective was to study nutrition of older residents in private nursing homes in Finland for preparation of the upcoming intervention study.Methods:Descriptive, cross-sectional study. Nutritional value of the menu used in nursing homes was evaluated. Food service personal and nurses had instructions to modify offered food suitable to different needs of residents. The residents’ food intake for one day was assessed with food records and their energy and protein intakes were calculated. Nurses filled the food records and they were advised to include all kind of eaters. Information was also gathered about residents’ weight, BMI, texture of the diet (normal, soft, mashed and smooth mashed) and their need for help in eating.Results:Residents, n = 161, 57% female, mean age 81.0 y (SD ± 11.1) in 70 different nursing homes took part to the study. Their mean BMI was 24.6. (SD ± 5.0), ranging from 15.0 to 45.0. The residents had five meals: breakfast, lunch, coffee, dinner and evening snack. Of the residents 68.3% had normal, 9.3% soft, 5.0% mashed and 14.3% smooth smashed texture in their food. Using average portion size it was possible to receive enough energy and protein daily. Residents’ mean intake of energy was 1723 kcal (SD ± 506), ranging from 329 kcal to 3167 kcal per day, mean intake of protein was 69 g (SD ± 24), ranging from 14 g to 141 g per day. When protein intake was calculated by g/kg BW/day, the mean intake was 1.0 g (SD ± 0.34), ranging from 0.2 to 2 g/kg BW/day. Female residents had lower energy intake (1557 kcal, SD ± 486) than male (1888 kcal, SD ± 450), p < 0.001 and protein intake (F 62 g, SD ± 22)/(M 72 g, SD ± 24), p < 0.001 but not when counting g/kg BW/day.Discussion:Nutritional value of the menu in average met the recommendations for older people's nutrition. Although the mean intakes of energy and protein were adequate there was a great variation in intakes and a part of the residents received so little energy and protein that it would evidently lead to malnutrition. Taking account the wide range of residents’ BMI, energy and protein intake education of the personnel in personalized nutrition is needed.
Impact of high-fat overfeeding on white adipose tissue and systemic metabolic and inflammatory responses
Authors: Dewhurst-Trigg Rebecca , Woods Rachel M. , Hulston Carl J. , Markey Oonagh 
Published: June 2020

AbstractWhite adipose tissue (WAT) inflammation is linked to the development of cardiometabolic disease. A high intake of saturated fatty acids (SFA) may promote a more pro-inflammatory WAT gene expression profile, compared to monounsaturated fatty acids(1,2). This is concerning as the UK adult population currently exceeds the SFA intake target of < 10% total energy (TE), at 11.9%TE(3). However, further research is needed to understand how SFA ingestion impacts the protein content and phosphorylation of key targets involved in WAT inflammatory signalling. Therefore, this study investigated the effect of short-term, high-fat overfeeding on WAT and systemic metabolic and inflammatory responses in healthy, non-obese individuals.Fifteen (9 men, 6 women) apparently healthy participants (mean (SE) age; 26.6 (1.2) y, BMI; 24.4 (0.6) kg/m2) consumed a high-fat (dietary target: 65.0%TE total fat; 32.5%TE SFA), high-calorie (+ 50% estimated energy requirements) diet for 7 days. Fasted venous blood and WAT samples were collected pre- and post-intervention.Body mass increased following the intervention (pre-intervention vs. post-intervention: 75.2 (2.9) kg vs. 76.4 (2.9) kg; P < 0.0001). The intervention also led to increases in glucose (4.4 (0.1) vs. 4.6 (0.1) mmol/L; P = 0.022) and lipopolysaccharide-binding protein (12.9 (1.3) vs. 17.7 (3.0) μg/mL; P = 0.038), and a decrease in triacylglycerol (0.91 (0.08) vs. 0.72 (0.05) mmol/L; P = 0.007). Insulin, IL-6 and soluble CD14 concentrations remained unchanged (all P > 0.05). At the WAT level, total protein (TLR4; NF-κB; IKβα; P38; MCP-1) and phosphorylation (p) of proteins (p-NF-κB; p-IKβα; p-P38) involved in inflammatory signalling were unchanged following the intervention (all P > 0.05).In conclusion, although short-term, high-fat overfeeding led to an increase in body mass as well as systemic metabolic alterations, the content and phosphorylation of proteins involved in WAT inflammatory signalling were unaltered in healthy, non-obese individuals. Further analysis will reveal the impact of high-fat overfeeding on peripheral blood monocyte populations, which are involved in mediating pro- and anti-inflammatory responses.This research was supported by a Society for Endocrinology Early Career Grant.
Advanced glycation end products (AGEs) in metabolic disease: linking diet, inflammation and microbiota
Authors: Gaudioso Giulia , Collotta Debora , Chiazza Fausto , Mastrocola Raffaella , Cento Alessia , Fava Francesca , Aragno Manuela , Collino Massimo , Tuohy Kieran 
Published: June 2020

AbstractIntroduction:High sugar consumption promotes endogenous formation of advanced glycation end-products (AGEs), a heterogeneous class of molecules originated from non-enzymatic glycation between reducing sugars and free amino groups of proteins, nucleic acids, or lipids. AGEs accumulation in tissues has been linked to aging and diabetes complications. AGEs might also play an independent role in inflammation and development of cardiovascular disease (CVD). Exogenous dietary AGEs, due to excess intake of modern heat-treated foods, might act synergistically with endogenous AGEs, thus contributing to increase inflammation and CVD. A large amount of ingested AGEs reaches the colon, where they might affect gut microbial metabolism, for example, by acting as substrate for colonic bacterial fermentation, driving alterations of microbiota composition and of intestinal permeability. However in vitro and in vivo studies (animal and human) on the impact of AGEs on the gut microbiota are discordant. This study on mice aims to link the modulation of gut microbiota by AGEs-enriched diet (AGE-D) with metabolic and inflammatory markers.Materials and methods:C57BL/6 mice were randomly allocated into the following dietary regimens: Control (n = 24) and AGE-D (n = 20) for 22 weeks. AGE-D was prepared replacing casein (200 g/kg diet) by an equal amount of modified casein where 10% of arginine was glycated with MG-H1 (methylglyoxal 5-hydro-5-methylimidazolone) for a total of 4 μmol of MG-H1 per g of diet. Faeces were collected using metabolic cages (18 h starving) at week 0, 11 and 22 for fecal DNA extraction and 16SrRNA analysis through Illumina MiSeq using V3-V4 targeted primers. After 22 weeks of dietary manipulation, mice were sacrificed, plasma and organ lipid profiles and serum metabolic and inflammatory profiles were determined.Results and discussion:AGE-D caused a significant reduction in the blood levels of two important components of the incretin system, GIP and GLP-1, when compared to control diet, suggestive of unbalance in the incretin-insulin axis. AGE-D exposure was associated with a significant increase in systemic concentrations of inflammatory cytokines, e.g. IL-1β and IL-17, and PAI-1, which has been suggested as both reliable marker and critical mediator of cellular senescence. We will present how AGEs impact on microbiome community structure and correlate changes in gut microbiota with GIP and GLP-1 levels.Conclusions:AGEs, characteristic of modern processed foods, appear to impact on the incretin-insulin axis, a key regulator of metabolic disease risk. Diets rich in AGEs may mediate these physiological effects at least in part, by reshaping intestinal microbiota structure.
Diet quality, anthropometrics, and gut microbiota composition in healthy adults
Authors: Malinowska Anna M. , Schmidt Marcin , Chmurzynska Agata 
Published: June 2020

AbstractHuman gut microbiota may affect metabolism and health by synthesizing metabolites and processing of food components. Those processes are specific to genus and species (or even strain), and dietary intake and metabolic state (such as obesity) can affect the composition of gut microbiota. The aim of the study was to assess the effect of dietary patterns and intake of several groups of food products and macronutrients, as well as the impact of anthropometric parameters on gut microbiota composition.The study group consisted of 200 men and women between 31 and 50 years of age. The diet was assessed using three-day dietary records and the dietary pattern was determined with the use of the original score method and two dietary indices, namely the Diet Quality Index – International (DQI-I) and the Healthy Eating Index (HEI). Bacterial DNA was isolated from the feces of the participants and microbiota composition was determined using metagenomic sequencing of the V3–V4 region of the 16S rRNA gene.Dietary indices and intake of energy from macronutrients did not correlate with the Firmicutes to Bacteroidetes phylum ratio. However people with greater abundance of the Firmicutes phylum compared to Bacteroidetes consumed higher amounts of fermented milk beverages, hard cheese, and salt (78%, 48%, 14% higher intake respectively; p < 0.05). A higher diet quality as measured by the diet indices was positively correlated with the relative abundance of the Firmicutes phylum, Bacilli, Clostridia class, Lachnospira, Faecalibacterium, Coprococcus, and Prevotella genus and negatively correlated with the relative abundance of the Bacteroidetes phylum, Bacteroidia class, and Bacteroides genus. Higher dietary fiber intake positively correlated with the relative abundance of the Coprococcus, Lachnospira, and Roseburia genera, whereas energy intake from simple carbohydrates was positively correlated with the relative abundance of the Tenericutes phylum and the Mollicutes class. Energy intake from alcohol correlated positively with the relative abundance of Bacteroidetes phylum and Bacteroides class and correlated negatively with Firmicutes phylum and Clostridia class. Lower waist-to-hip-ratio, body mass index, and fat mass led to higher abundance of the Fecalibacterium genus.Both diet and anthropometric parameters are associated with gut microbiota composition. Associations between diet and the relative abundance of microbiota are nutrient-specific.
Associations between choline intake, body composition, lipid profile, and liver status in healthy adults
Authors: Młodzik-Czyżewska Monika , Malinowska Anna , Chmurzyńska Agata 
Published: June 2020

AbstractCholine is an essential nutrient involved in several processes, including the export of lipids from the liver. Recent studies have underlined that low choline intake may be linked to greater body weight and liver dysfunction. The aim of this study was thus to determine whether choline intake is associated with body weight, body mass index (BMI), body composition, lipid profile, or liver steatosis indices.407 healthy subjects aged 20–40 were enrolled in Poznań, Poland from 2016 to 2018. Food intake was assessed using three-day food records. Choline intake was analyzed using the USDA Database for the Choline Content of Common Foods, which summarizes the levels of choline found in a range of food items. Weight to 0.1 kg and height to 0.01 m were measured using an electronic scale and a stadiometer, respectively. BMI was calculated as body weight in kilograms divided by height in meters squared. Fat mass and lean body mass were determined using whole-body air-displacement plethysmography. Waist and hip circumferences were measured to 0.5 cm using nonelastic tape. Total cholesterol, LDL cholesterol, HDL cholesterol, and triglyceride levels in serum were determined using a biochemical analyzer. The following biomarkers of liver steatosis were calculated: NAFLD liver fat score (NAFLD-LFS), fatty liver index (FLI), and hepatic steatosis index (HSI). To analyze associations between choline intake and these parameters, we used multiple regression with adjustments for age, sex, and energy intake.The mean BMI was 25.9 ± 5.28 kg/m2, the mean body weight was 78.39 ± 18.03 kg, the mean body fat percentage was 29.1 ± 10.79%, and the mean choline intake was 447.93 ± 235 mg/day. Choline intake was negatively associated with body weight, body fat percentage, waist circumference, and FLI index (p < 0.05 for all associations) and positively associated with HDL cholesterol (p < 0.05). There were no associations between choline intake and BMI, hip circumference, total cholesterol, LDL cholesterol, and the following fatty liver indexes: HSI and NAFLD-LFS.Our study suggests that higher choline intake is associated with favorable body composition and may have a protective role on liver status. However, additional studies are needed to understand the effect of choline on these parameters.The authors declare that they have no conflict of interests.This work was supported by the Polish National Science Centre (grants 2014/15/B/NZ9/02134 and 2016/21/N/NZ9/01195).
Depressive symptoms and liver fat in subjects with nonalcoholic fatty liver disease after 6-month weight loss intervention: The FLiO study
Authors: Marin-Alejandre Bertha Araceli , Abete Itziar , Cantero Irene , Galarregui Cristina , Elorz Mariana , Tur Josep A. , Alfredo Martinez J. , Angeles Zulet M. 
Published: June 2020

AbstractIntroduction:Nonalcoholic fatty liver disease (NAFLD) is the most common cause of liver disease in Western countries and is strongly associated with obesity and insulin resistance-related comorbidities. Moreover, there is some evidence of a relationship between NAFLD and depression. The aim of this study was to compare the effect of two personalized energy-restricted diets on liver fat and depressive symptoms in overweight or obese subjects with NAFLD after a 6-month follow-up.Materials and methods:Ninety-eight overweight or obese adults with NAFLD were enrolled and randomized to follow one of two different personalized energy-restricted diets (American Heart Association vs. FLiO diet) accompanied by healthy lifestyle advice. Study registered as FLiO: Fatty Liver in Obesity; NCT03183193. Anthropometry, body composition, biochemical features and liver status were assessed at baseline and after a 6-month follow-up. Liver fat was evaluated by Magnetic Resonance Imaging and depressive symptoms using the Beck's Depression Inventory-II (BDI-II).Results:Participants of both groups showed significant reductions in body weight, total fat mass, glucose, insulin and alanine aminotransferase (p < 0.001 for all these parameters in both groups). A significant decrease in liver fat (p < 0.001 in both groups) and depressive symptoms (p < 0.01 in both groups) was observed after the follow-up. The effects of the intervention in the evaluated variables did not differ when both diets were compared. Consequently, the two groups were considered together as one sample for the further analyses. Correlation analyses evidenced a positive association between the decrease in depressive symptoms and the reduction in body weight (r = 0.241; p = 0.044) and liver fat (r = 0.251; p = 0.046).Discussion:Previous studies have reported that the prevalence of depression in patients with chronic liver disease (including NAFLD) is higher than in the general population and that major depressive disorder is associated with more severe hepatic steatosis and with worse outcomes in the treatment of NAFLD subjects. In our study, both healthy personalized energy-restricted diets were able to improve metabolic parameters, liver fat content and depressive symptoms in overweight and obese participants with NAFLD. To our knowledge, this is the first study to report an association between the changes in depressive symptoms and the decrease in liver fat after a dietary randomized controlled trial. Further investigation is needed to clarify the relationship between depression and the development and treatment of NAFLD.