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      Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women

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          Abstract

          Background

          An increasingly large share of diet comes from ultra-processed foods (UPFs), which are assemblages of food substances designed to create durable, convenient and palatable ready-to-eat products. There is increasing evidence that high UPF consumption is indicative of poor diet and is associated with obesity and metabolic disorders. This study sought to examine the relationship between percent of energy intake from ultra-processed foods (PEI-UPF) during pregnancy and maternal gestational weight gain, maternal lipids and glycemia, and neonatal body composition. We also compared the PEI-UPF indicator against the US government’s Healthy Eating Index-2010 (HEI-2010).

          Methods

          Data were used from a longitudinal study performed in 2013–2014 at the Women’s Health Center and Obstetrics & Gynecology Clinic in St. Louis, MO, USA. Subjects were pregnant women in the normal and obese weight ranges, as well as their newborns ( n = 45). PEI-UPF and the Healthy Eating Index-2010 (HEI-2010) were calculated for each subject from a one-month food frequency questionnaire (FFQ). Multiple regression (ANCOVA-like) analysis was used to analyze the relationship between PEI-UPF or HEI-2010 and various clinical outcomes. The ability of these dietary indices to predict clinical outcomes was also compared with the predictive abilities of total energy intake and total fat intake.

          Results

          An average of 54.4 ± 13.2% of energy intake was derived from UPFs. A 1%-point increase in PEI-UPF was associated with a 1.33 kg increase in gestational weight gain ( p = 0.016). Similarly, a 1%-point increase in PEI-UPF was associated with a 0.22 mm increase in thigh skinfold ( p = 0.045), 0.14 mm in subscapular skinfold ( p = 0.026), and 0.62 percentage points of total body adiposity ( p = 0.037) in the neonate.

          Discussion

          PEI-UPF (percent of energy intake from ultra-processed foods) was associated with and may be a useful predictor of increased gestational weight gain and neonatal body fat. PEI-UPF was a better predictor of all tested outcomes than either total energy or fat intake, and a better predictor of the three infant body fat measures than HEI-2010. UPF consumption should be limited during pregnancy and diet quality should be maximized in order to improve maternal and neonatal health.

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          Most cited references24

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          The short- and long-term implications of maternal obesity on the mother and her offspring.

          Obesity's increasing prevalence has reached epidemic proportions in the USA, with close to one-third of the adult population affected in 2000. Additionally, there is increasing prevalence of obesity in other industrialised areas of the world such as Europe. Of potentially more concern is the potential risks associated with obesity and related metabolic complications in the developing world. The maternal, fetal, peripartum and neonatal complications of obesity in pregnancy have far-reaching implications for both mother and offspring. Of alarming interest is the increasing rate of obesity among adolescents and the cycle of obesity in future generations it portends. The purpose in this review is to briefly review the maternal perinatal morbidities associated with maternal pregravid obesity. Additionally, we will review evidence of both short- and long-term effect of maternal obesity on the in utero environment as it relates to fetal growth, neonatal body composition and adolescent obesity.
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            The relation of childhood BMI to adult adiposity: the Bogalusa Heart Study.

            Although many studies have found that childhood levels of body mass index (BMI; kg/m(2)) are associated with adult levels, it has been reported that childhood BMI is not associated with adult adiposity. We further examined these longitudinal associations. Cohort study based on examinations between 1973 and 1996. Bogalusa, Louisiana. Children (2610; ages 2-17 years old) who were followed to ages 18 to 37 years; the mean follow-up was 17.6 years. BMI-for-age and triceps skinfold thickness (SF) were measured in childhood. Subscapular and triceps SFs were measured among adults, and the mean SF was used as an adiposity index. Adult obesity was defined as a BMI >or= 30 kg/m(2) and adult overfat as a mean SF in the upper (gender-specific) quartile. Childhood levels of both BMI and triceps SF were associated with adult levels of BMI and adiposity. The magnitude of these longitudinal associations increased with childhood age, but the BMI levels of even the youngest (ages 2-5 years) children were moderately associated (r = 0.33-0.41) with adult adiposity. Overweight (BMI-for-age >or= 95th centile) 2- to 5-year-olds were >4 times as likely to become overfat adults (15 of 23 [65%]), as were children with a BMI < 50th centile (30 of 201 [15%]). Even after accounting for the triceps SF of children, BMI-for-age provided additional information on adult adiposity. Childhood BMI is associated with adult adiposity, but it is possible that the magnitude of this association depends on the relative fatness of children.
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              Ultra-Processed Food Products and Obesity in Brazilian Households (2008–2009)

              Background Production and consumption of industrially processed food and drink products have risen in parallel with the global increase in overweight and obesity and related chronic non-communicable diseases. The objective of this study was to analyze the relationship between household availability of processed and ultra-processed products and the prevalence of excess weight (overweight plus obesity) and obesity in Brazil. Methods The study was based on data from the 2008–2009 Household Budget Survey involving a probabilistic sample of 55,970 Brazilian households. The units of study were household aggregates (strata), geographically and socioeconomically homogeneous. Multiple linear regression models were used to assess the relationship between the availability of processed and ultra-processed products and the average of Body Mass Index (BMI) and the percentage of individuals with excess weight and obesity in the strata, controlling for potential confounders (socio-demographic characteristics, percentage of expenditure on eating out of home, and dietary energy other than that provided by processed and ultra-processed products). Predictive values for prevalence of excess weight and obesity were estimated according to quartiles of the household availability of dietary energy from processed and ultra-processed products. Results The mean contribution of processed and ultra-processed products to total dietary energy availability ranged from 15.4% (lower quartile) to 39.4% (upper quartile). Adjusted linear regression coefficients indicated that household availability of ultra-processed products was positively associated with both the average BMI and the prevalence of excess weight and obesity, whereas processed products were not associated with these outcomes. In addition, people in the upper quartile of household consumption of ultra-processed products, compared with those in the lower quartile, were 37% more likely to be obese. Conclusion Greater household availability of ultra-processed food products in Brazil is positively and independently associated with higher prevalence of excess weight and obesity in all age groups in this cross-sectional study.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                7 December 2017
                2017
                : 5
                : e4091
                Affiliations
                [1 ]Program in Physical Therapy, Washington University School of Medicine , St. Louis, MO, United States of America
                [2 ]School of Kinesiology, Recreation, and Sport, Western Kentucky University , Bowling Green, KY, United States of America
                [3 ]Department of Nutrition, University of São Paulo , São Paulo, Brazil
                [4 ]Department of Obstetrics and Gynecology, Washington University School of Medicine , St. Louis, MO, United States of America
                Article
                4091
                10.7717/peerj.4091
                5723430
                29230355
                70c75d15-6efd-4449-80af-76796c6d5eb9
                ©2017 Rohatgi et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 12 August 2017
                : 3 November 2017
                Funding
                Funded by: National Institutes of Health
                Award ID: TL1 TR000449
                Award ID: DK094416
                Funded by: Nutrition Obesity Research Center
                Award ID: DK5634
                Funded by: Diabetes Research Center
                Award ID: DK20579
                Funded by: Clinical and Translational Science Award
                Award ID: RR024992
                This research was funded by the National Institutes of Health grants TL1 TR000449, DK094416, Nutrition Obesity Research Center Grant DK56341, Diabetes Research Center Grant DK20579, and Clinical and Translational Science Award RR024992. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Gynecology and Obstetrics
                Health Policy
                Nutrition
                Public Health
                Women’s Health

                ultra-processed foods,neonatal body composition,birth outcomes,gestational weight gain

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