Dietary intake in the early years and its relationship to BMI in a bi-ethnic group: the Born in Bradford 1000 study

Abstract

Shortened version of the title: Dietary intake and its relationship to BMIDisclosure statements: This research received no specific grant from any funding agency, commercial or not-for-profit sectors. Acknowledgments:We are grateful to all the families who took part in this study, to the midwives for their help in recruiting them, the paediatricians and health visitors and to the Born in Bradford team which included interviewers, data managers, laboratory staff, clerical workers, research scientists, volunteers and managers Conflict of interest:The authors declare no conflict of interest. Authors PS and MB had some financial support from an NIHR CLAHRC implementation grant and/or an NIHR applied programme grant (RP-PG-0407-10044) for the submitted work, but have had no financial relationships with any organisations that might have an interest in the submitted work in the previous 3 years and no other relationships or activities that could appear to have influenced the submitted work.Authorship: All authors contributed to the interpretation of the results ad write-up and have read and approved the final version. MB and PS designed the research, trained the data collection staff, provided oversight in data collection, interpreted results and supported the manuscript preparation. SM conducted the analysis, interpreted the data and led the writing of the manuscript. SB provided oversight to the analysis, contributed to data interpretation and reviewed the manuscript. Subjects: Infants at age 12 months (n 722; 44% White British, 56% Pakistani), 18 months (n 779; 10 44% White British, 56% Pakistani) and 36 months (n 845; 45% White British, 55% Pakistani). Ethical Standards 11Results: Diet at age 12 months was not associated with BMI z-score at age 36 months. Higher

"Strong Teeth": an early-phase study to assess the feasibility of an oral health intervention delivered by dental teams to parents of young children

“…The self- report questionnaire collected information on participant sociodemographic data, as well as toothbrushing and dietary behaviours, based on validated measures [ 28 , 29 ]. Self-report determinants of toothbrushing were measured against national guidance.…”

Dietary fibre intake in childhood or adolescence and subsequent health outcomes: A systematic review of prospective observational studies

“…49 The same two studies showed a significant reduction in metabolic syndrome with higher fruit intake. 47,48 For measures of cognition, both studies reporting on a cohort of 2868 students identified educational benefits [19][20][21]26,[29][30][31]34,35,42,[62][63][64][65] Blood lipids 19,26,30,31,66 Glycaemia 19,31,34,67,68 Blood pressure 19,31 Puberty 43 Bowel health 44 Vegetables 16 19 487 Body weight 23,24,[26][27][28][29]32,[69][70][71] Blood lipids 26,32 Glycaemia 32 Blood pressure 32,38 Metabolic syndrome [47][48]…”

“…Body weight [23][24][25][26][27][28][29]32,[69][70][71] Blood lipids 26,32 Glycaemia 32 Blood pressure 25,32,38 Metabolic syndrome 48,49 Bone health 41 Cognition 50,51 Vegetables and fruit 13 5286 Body weight 22,34,35,46,65,72 Blood lipids 33 Glycaemia 34 Blood pressure 36,73,74 Bone health 39,40 Cognition 45 Refined or whole grains 6 10 037 Body weight 26,27 Blood lipids 26,33 Glycaemia 67 Metabolic syndrome 49 Cognition 51 with a higher intake of fruit 50,51 ; however, these benefits were not observed with higher vegetable or wholegrain intakes. 51…”

"Strong Teeth" – an Early-phase Study to Assess the Feasibility of an Oral Health Intervention Delivered by Dental Teams to Parents of Young Children

“…dyads compliant with all items of DBOH advice). Dietary data was collected based on child's frequency of consumption, using an established dietary questionnaire used within a similar population 28 . Frequency scoring of food and drinks was nonlinear (e.g.…”

“…Collecting dietary data presented several challenges. The dietary questionnaire, although a validated data collection method, 28 had limitations: it relied on recall, parents were sometimes unsure of diet at nursery/with grandparents, and it did not account for seasonal differences. Anecdotally, researchers found some parents struggled with de nitions used in the frequency table (e.g.…”