Literature DB >> 26627493

A Review of the Relationship Between Socioeconomic Position and the Early-Life Predictors of Obesity.

Adrian J Cameron1, Alison C Spence2, Rachel Laws2,3, Kylie D Hesketh2, Sandrine Lioret4,5, Karen J Campbell2,3.   

Abstract

A range of important early-life predictors of later obesity have been identified. Children of lower socioeconomic position (SEP) have a steeper weight gain trajectory from birth with a strong socioeconomic gradient in child and adult obesity prevalence. An assessment of the association between SEP and the early-life predictors of obesity has been lacking. The review involved a two-stage process: Part 1, using previously published systematic reviews, we developed a list of the potentially modifiable determinants of obesity observable in the pre-natal, peri-natal or post-natal (pre-school) periods; and part 2, conducting a literature review of evidence for socioeconomic patterning in the determinants identified in part 1. Strong evidence was found for an inverse relationship between SEP and (1) pre-natal risk factors (pre-pregnancy maternal body mass index (BMI), diabetes and pre-pregnancy diet), (2) antenatal/peri natal risk factors (smoking during pregnancy and low birth weight) and (3) early-life nutrition (including breastfeeding initiation and duration, early introduction of solids, maternal and infant diet quality, and some aspects of the home food environment), and television viewing in young children. Less strong evidence (because of a lack of studies for some factors) was found for paternal BMI, maternal weight gain during pregnancy, child sleep duration, high birth weight and lack of physical activity in young children. A strong socioeconomic gradient exists for the majority of the early-life predictors of obesity suggesting that the die is cast very early in life (even pre-conception). Lifestyle interventions targeting disadvantaged women at or before child-bearing age may therefore be particularly important in reducing inequality. Given the likely challenges of reaching this target population, it may be that during pregnancy and their child's early years are more feasible windows for engagement.

Entities:  

Keywords:  Infant; Nutrition; Physical activity; Socioeconomic position

Mesh:

Year:  2015        PMID: 26627493     DOI: 10.1007/s13679-015-0168-5

Source DB:  PubMed          Journal:  Curr Obes Rep        ISSN: 2162-4968


  137 in total

1.  Socioeconomic status and birth weight: comparison of an area-based measure with the Registrar General's social class.

Authors:  N Spencer; S Bambang; S Logan; L Gill
Journal:  J Epidemiol Community Health       Date:  1999-08       Impact factor: 3.710

2.  Influence of mother's educational level on food parenting practices and food habits of young children.

Authors:  Carine A Vereecken; Els Keukelier; Lea Maes
Journal:  Appetite       Date:  2004-08       Impact factor: 3.868

Review 3.  Experimental models of developmental programming: consequences of exposure to an energy rich diet during development.

Authors:  James A Armitage; Paul D Taylor; Lucilla Poston
Journal:  J Physiol       Date:  2005-02-03       Impact factor: 5.182

Review 4.  Relationships between parenting style, feeding style and feeding practices and fruit and vegetable consumption in early childhood.

Authors:  Jackie Blissett
Journal:  Appetite       Date:  2011-05-27       Impact factor: 3.868

5.  Infant growth is associated with parental education but not with parental adiposity - Early Stockholm Obesity Prevention Project.

Authors:  V Svensson; A Ek; M Forssén; K Ekbom; Y Cao; M Ebrahim; E Johansson; H Nero; M Hagströmer; M Ekstedt; P Nowicka; C Marcus
Journal:  Acta Paediatr       Date:  2014-01-17       Impact factor: 2.299

Review 6.  Does Breastfeeding Protect Against Childhood Obesity? Moving Beyond Observational Evidence.

Authors:  Jessica G Woo; Lisa J Martin
Journal:  Curr Obes Rep       Date:  2015-06

7.  Weight and weight gain at 4 months (The Netherlands 1998): influences of nutritional practices, socio-economic and ethnic factors.

Authors:  Anneke M W Bulk-Bunschoten; Sylvia van Bodegom; J Dorothea Reerink; Pieternel C M Pasker de Jong; Cornelis J de Groot
Journal:  Paediatr Perinat Epidemiol       Date:  2002-10       Impact factor: 3.980

8.  Socioeconomic status and diabetes among urban Indigenous Australians aged 15-64 years in the DRUID study.

Authors:  Joan Cunningham; Kerin O'Dea; Terry Dunbar; Tarun Weeramanthri; Jonathan Shaw; Paul Zimmet
Journal:  Ethn Health       Date:  2008-01       Impact factor: 2.772

9.  Childhood sleep duration and associated demographic characteristics in an English cohort.

Authors:  Peter S Blair; Joanna S Humphreys; Paul Gringras; Shahrad Taheri; Nicola Scott; Alan Emond; John Henderson; Peter J Fleming
Journal:  Sleep       Date:  2012-03-01       Impact factor: 5.849

10.  Socioeconomic differences in childhood growth trajectories: at what age do height inequalities emerge?

Authors:  Laura D Howe; Kate Tilling; Bruna Galobardes; George Davey Smith; David Gunnell; Debbie A Lawlor
Journal:  J Epidemiol Community Health       Date:  2010-08-18       Impact factor: 3.710

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  40 in total

1.  Good intentions are not enough: how informatics interventions can worsen inequality.

Authors:  Tiffany C Veinot; Hannah Mitchell; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

2.  Starting Early Program Impacts on Feeding at Infant 10 Months Age: A Randomized Controlled Trial.

Authors:  Mary Jo Messito; Michelle W Katzow; Alan L Mendelsohn; Rachel S Gross
Journal:  Child Obes       Date:  2020-01-14       Impact factor: 2.992

3.  Maternal dietary intakes of refined grains during pregnancy and growth through the first 7 y of life among children born to women with gestational diabetes.

Authors:  Yeyi Zhu; Sjurdur F Olsen; Pauline Mendola; Thorhallur I Halldorsson; Edwina H Yeung; Charlotta Granström; Anne A Bjerregaard; Jing Wu; Shristi Rawal; Jorge E Chavarro; Frank B Hu; Cuilin Zhang
Journal:  Am J Clin Nutr       Date:  2017-06-07       Impact factor: 7.045

4.  Association between household poverty dynamics and childhood overweight risk and health behaviours in the United States: a 8-year nationally representative longitudinal study of 16 800 children.

Authors:  J Min; H Xue; Y Wang
Journal:  Pediatr Obes       Date:  2018-08-15       Impact factor: 4.000

5.  Critical examination of relationships between early growth and childhood overweight in extremely preterm infants.

Authors:  Tanis R Fenton; Roseann Nasser; Dianne Creighton; Seham Elmrayed; Selphee Tang; Chelsia Gillis; Belal Alshaikh
Journal:  J Perinatol       Date:  2021-08-17       Impact factor: 2.521

6.  Ecological factors and childhood eating behaviours at 5 years of age: findings from the ROLO longitudinal birth cohort study.

Authors:  Anna Delahunt; Marie C Conway; Eileen C O'Brien; Aisling A Geraghty; Linda M O'Keeffe; Sharleen L O'Reilly; Ciara M McDonnell; Patricia M Kearney; John Mehegan; Fionnuala M McAuliffe
Journal:  BMC Pediatr       Date:  2022-06-27       Impact factor: 2.567

7.  The Mediating Effect of Self-Regulation in the Association Between Poverty and Child Weight: A Systematic Review.

Authors:  Katherine A Hails; Yiyao Zhou; Daniel S Shaw
Journal:  Clin Child Fam Psychol Rev       Date:  2019-09

8.  Prevalence and time trends of overweight, obesity and severe obesity in 447,925 Swedish adults, 1995-2017.

Authors:  Erik Hemmingsson; Örjan Ekblom; Lena V Kallings; Gunnar Andersson; Peter Wallin; Jonas Söderling; Victoria Blom; Björn Ekblom; Elin Ekblom-Bak
Journal:  Scand J Public Health       Date:  2020-04-30       Impact factor: 3.021

Review 9.  Epigenetic Alterations of Maternal Tobacco Smoking during Pregnancy: A Narrative Review.

Authors:  Aurélie Nakamura; Olivier François; Johanna Lepeule
Journal:  Int J Environ Res Public Health       Date:  2021-05-11       Impact factor: 3.390

10.  Low birth weight leads to obesity, diabetes and increased leptin levels in adults: the CoLaus study.

Authors:  François R Jornayvaz; Peter Vollenweider; Murielle Bochud; Vincent Mooser; Gérard Waeber; Pedro Marques-Vidal
Journal:  Cardiovasc Diabetol       Date:  2016-05-03       Impact factor: 9.951

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