scholarly journals Diet at Age 10 and 13 Years in Children Identified as Picky Eaters at Age 3 Years and in Children Who Are Persistent Picky Eaters in A Longitudinal Birth Cohort Study

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 807 ◽  
Author(s):  
Caroline M Taylor ◽  
Nicholas P Hays ◽  
Pauline M Emmett

Picky eating has been associated with lower intakes of some nutrients and foods during preschool ages but there is little known about the longer-term diet. The aim of this study was to characterise the diets of children aged 10 and 13 years who had been identified as: (1) picky eaters at age 3 years (cross-sectional); and (2) picky eaters at 2–5.5 years old (longitudinal). Picky eating behaviour (PE) was identified in the Avon Longitudinal Study of Parents and Children (ALSPAC) from parental/caregiver questionnaires. Dietary intake was assessed at age 3.5 years and repeated at 10 and 13 years. For cross-sectional PE compared with non-PE there were differences at age 10 years that were similar to those at 3.5 years: lower intakes of protein (−5%) and fibre (−7%) and of meat (−15%), fruit (−10%) and vegetables (−33%). At 13 years, differences in vegetable (−23%), fruit (−14%) and meat (−8%) intakes were evident. For longitudinal (persistent) PE, differences were more pronounced at each age. More effective strategies to help parents to widen the food choices of their children at early ages need to be developed, focusing particularly on vegetable and fruit intakes.

2020 ◽  
Vol 5 ◽  
pp. 229
Author(s):  
Mark Mummé ◽  
Andy Boyd ◽  
Jean Golding ◽  
John Macleod

This data note describes the linked antenatal and delivery records of the mothers and index children of the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort study. These records were extracted from the computerised maternity record system ‘STORK’ used by the two largest NHS trusts in the study catchment area. The STORK database was designed to be populated by midwives and other health professionals during a woman’s pregnancy and shortly after the baby’s birth. These early computer records were initiated in the early 1990s, shortly before the start of enrolment to ALSPAC. At this time the use of electronic medical record systems such as ‘STORK’ was very new, the accuracy of the records has been questioned and little contemporary detailed documentation is available. Small sample spot checks on the accuracy of the information in ‘STORK’ suggests extensive missingness and differences against gold-standard fieldworker abstracted information in some variables; yet high levels of completeness and agreement with gold-standard data in others. Software code was created using STATA (StataCorp LLC) to transform the original CSV (comma-separated values) files into a cohesive and consistent format which was reviewed for data-completeness for its potential use in future research. The cleaned ‘STORK’ records provide health, social and maternity data from the very earliest period of the ALSPAC study in an easily accessible format, which is particularly useful when other sources of data are missing.


2020 ◽  
Vol 5 ◽  
pp. 185
Author(s):  
Kaitlin H. Wade ◽  
Laura Clifford ◽  
Andrew J. Simpkin ◽  
Rhona Beynon ◽  
Laura Birch ◽  
...  

Background: Effective measurement and adaption of eating behaviours, such as eating speed, may improve weight loss and weight over time. We assessed whether the Mandometer, a portable weighing scale connected to a computer that generates a graph of food removal rate from the plate to which it is connected, together with photo-imaging of food, might prove an effective approach to measuring eating behaviours at large scale. Methods: We deployed the Mandometer in the home environment to measure main meals over three days of 95 21-year-old participants of the Avon Longitudinal Study of Parents and Children. We used multi-level models to describe food weight and eating speed and, as exemplar analyses, examined the relationship of eating behaviours with body mass index (BMI), dietary composition (fat content) and genotypic variation (the FTO rs9939609 variant). Using this pilot data, we calculated the sample size required to detect differences in food weight and eating speed between groups of an exposure variable. Results: All participants were able to use the Mandometer effectively after brief training. In exemplar analyses, evidence suggested that obese participants consumed more food than those of "normal" weight (i.e., BMI 19 to <25 kg/m2) and that A/A FTO homozygotes (an indicator of higher weight) ate at a faster rate compared to T/T homozygotes. There was also some evidence that those with a high-fat diet consumed less food than those with a low-fat diet, but no strong evidence that individuals with medium- or high-fat diets ate at a faster rate. Conclusions: We demonstrated the potential for assessing eating behaviour in a short-term home setting and combining this with information in a research setting. This study may offer the opportunity to design interventions tailored for at-risk eating behaviours, offering advantages over the “one size fits all” approach of current failing obesity interventions.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yingxin Chen ◽  
Susan Hodgson ◽  
John Gulliver ◽  
Raquel Granell ◽  
A. John Henderson ◽  
...  

Abstract Background Evidence suggests that exposure to particulate matter with aerodynamic diameter less than 10 μm (PM10) is associated with reduced birth weight, but information is limited on the sources of PM10 and exposure misclassification from assigning exposures to place of residence at birth. Methods Trimester and source-specific PM10 exposures (PM10 from road source, local non-road source, and total source) in pregnancy were estimated using dispersion models and a full maternal residential history for 12,020 births from the Avon longitudinal study of parents and children (ALSPAC) cohort in 1990–1992 in the Bristol area. Information on birth outcomes were obtained from birth records. Maternal sociodemographic and lifestyle factors were obtained from questionnaires. We used linear regression models for continuous outcomes (birth weight, head circumference (HC), and birth length (BL) and logistic regression models for binary outcomes (preterm birth (PTB), term low birth weight (TLBW) and small for gestational age (SGA)). Sensitivity analysis was performed using multiple imputation for missing covariate data. Results After adjustment, interquartile range increases in source specific PM10 from traffic were associated with 17 to 18% increased odds of TLBW in all pregnancy periods. We also found odds of TLBW increased by 40% (OR: 1.40, 95%CI: 1.12, 1.75) and odds of SGA increased by 18% (OR: 1.18, 95%CI: 1.05, 1.32) per IQR (6.54 μg/m3) increase of total PM10 exposure in the third trimester. Conclusion This study adds to evidence that maternal PM10 exposures affect birth weight, with particular concern in relation to exposures to PM10 from road transport sources; results for total PM10 suggest greatest effect in the third trimester. Effect size estimates relate to exposures in the 1990s and are higher than those for recent studies – this may relate to reduced exposure misclassification through use of full residential history information, changes in air pollution toxicity over time and/or residual confounding.


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