Literature DB >> 21149280

Birth order and childhood type 1 diabetes risk: a pooled analysis of 31 observational studies.

Chris R Cardwell1, Lars C Stene, Geir Joner, Max K Bulsara, Ondrej Cinek, Joachim Rosenbauer, Johnny Ludvigsson, Jannet Svensson, Michael J Goldacre, Thomas Waldhoer, Przemyslawa Jarosz-Chobot, Suely Ga Gimeno, Lee-Ming Chuang, Christine L Roberts, Roger C Parslow, Emma Jk Wadsworth, Amanda Chetwynd, Girts Brigis, Brone Urbonaite, Sandra Sipetic, Edith Schober, Gabriele Devoti, Constantin Ionescu-Tirgoviste, Carine E de Beaufort, Denka Stoyanov, Karsten Buschard, Katja Radon, Christopher Glatthaar, Chris C Patterson.   

Abstract

BACKGROUND: The incidence rates of childhood onset type 1 diabetes are almost universally increasing across the globe but the aetiology of the disease remains largely unknown. We investigated whether birth order is associated with the risk of childhood diabetes by performing a pooled analysis of previous studies.
METHODS: Relevant studies published before January 2010 were identified from MEDLINE, Web of Science and EMBASE. Authors of studies provided individual patient data or conducted pre-specified analyses. Meta-analysis techniques were used to derive combined odds ratios (ORs), before and after adjustment for confounders, and investigate heterogeneity.
RESULTS: Data were available for 6 cohort and 25 case-control studies, including 11,955 cases of type 1 diabetes. Overall, there was no evidence of an association prior to adjustment for confounders. After adjustment for maternal age at birth and other confounders, a reduction in the risk of diabetes in second- or later born children became apparent [fully adjusted OR = 0.90 95% confidence interval (CI) 0.83-0.98; P = 0.02] but this association varied markedly between studies (I² = 67%). An a priori subgroup analysis showed that the association was stronger and more consistent in children < 5 years of age (n = 25 studies, maternal age adjusted OR = 0.84 95% CI 0.75, 0.93; I² = 23%).
CONCLUSION: Although the association varied between studies, there was some evidence of a lower risk of childhood onset type 1 diabetes with increasing birth order, particularly in children aged < 5 years. This finding could reflect increased exposure to infections in early life in later born children.

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Year:  2010        PMID: 21149280     DOI: 10.1093/ije/dyq207

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  19 in total

Review 1.  The prenatal environment and type 1 diabetes.

Authors:  L C Stene; E A M Gale
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2.  Asthma in Children of Mothers With Systemic Lupus Erythematosus and the Role of Preterm Birth.

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Review 3.  Early life origin of type 1 diabetes.

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Journal:  Semin Immunopathol       Date:  2017-11-23       Impact factor: 9.623

Review 4.  Risk of Type 1 Diabetes in the Offspring Born through Elective or Non-elective Caesarean Section in Comparison to Vaginal Delivery: a Meta-Analysis of Observational Studies.

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Journal:  Curr Diab Rep       Date:  2019-11-11       Impact factor: 4.810

Review 5.  Type 1 diabetes-early life origins and changing epidemiology.

Authors:  Jill M Norris; Randi K Johnson; Lars C Stene
Journal:  Lancet Diabetes Endocrinol       Date:  2020-01-27       Impact factor: 32.069

Review 6.  The hygiene hypothesis in autoimmunity: the role of pathogens and commensals.

Authors:  Jean-François Bach
Journal:  Nat Rev Immunol       Date:  2017-10-16       Impact factor: 53.106

7.  Dog Exposure During the First Year of Life and Type 1 Diabetes in Childhood.

Authors:  Mona-Lisa Wernroth; Bodil Svennblad; Katja Fall; Fang Fang; Catarina Almqvist; Tove Fall
Journal:  JAMA Pediatr       Date:  2017-07-01       Impact factor: 16.193

8.  Birth order and myopia.

Authors:  Jeremy A Guggenheim; George McMahon; Kate Northstone; Yossi Mandel; Igor Kaiserman; Richard A Stone; Xiaoyu Lin; Seang Mei Saw; Hannah Forward; David A Mackey; Seyhan Yazar; Terri L Young; Cathy Williams
Journal:  Ophthalmic Epidemiol       Date:  2013-10-29       Impact factor: 1.648

9.  How do childhood diagnoses of type 1 diabetes cluster in time?

Authors:  Colin R Muirhead; Timothy D Cheetham; Simon Court; Michael Begon; Richard J Q McNally
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

10.  Visualizing Europe's demographic scars with coplots and contour plots.

Authors:  Jonathan Minton; Laura Vanderbloemen; Danny Dorling
Journal:  Int J Epidemiol       Date:  2013-08       Impact factor: 7.196

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