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Associations among maternal pre-pregnancy body mass index, gestational weight gain and risk of autism in the Han Chinese population

Overview of attention for article published in BMC Psychiatry, January 2018
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Title
Associations among maternal pre-pregnancy body mass index, gestational weight gain and risk of autism in the Han Chinese population
Published in
BMC Psychiatry, January 2018
DOI 10.1186/s12888-018-1593-2
Pubmed ID
Authors

Yidong Shen, Huixi Dong, Xiaozi Lu, Nan Lian, Guanglei Xun, Lijuan Shi, Lu Xiao, Jingping Zhao, Jianjun Ou

Abstract

Autism is a neurodevelopmental disorder with an unclear etiology. Pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) have been suggested to play a role in the etiology of autism. The current study explores the associations among maternal pre-pregnancy BMI, GWG and the risk of autism in the Han Chinese population. Demographic information, a basic medical history and information regarding maternal pre-pregnancy and pregnancy conditions were collected from the parents of 705 Han Chinese children with autism and 2236 unrelated typically developing children. Binary logistic regressions were conducted to calculate the odds ratio (OR) for the relationship among pre-pregnancy BMI, GWG and the occurrence of autism. The interaction between pre-pregnancy BMI and GWG was analyzed by performing stratification analyses using a logistic model. After adjusting for the children's gender, parental age and family annual income, excessive GWG was associated with autism risk in the entire sample (OR = 1.327, 95% CI: 1.021-1.725), whereas the relationship between maternal pre-pregnancy BMI and autism was not significant. According to the stratification analyses, excessive GWG increased the risk of autism in overweight/obese mothers (OR = 2.468, 95% CI: 1.102-5.526) but not in underweight or normal weight mothers. The maternal pre-pregnancy BMI might not be independently associated with autism risk. However, excessive GWG might increase the autism risk of offspring of overweight and obese mothers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Researcher 12 12%
Student > Ph. D. Student 11 11%
Student > Bachelor 10 10%
Student > Doctoral Student 5 5%
Other 12 12%
Unknown 34 34%
Readers by discipline Count As %
Medicine and Dentistry 16 16%
Psychology 14 14%
Nursing and Health Professions 13 13%
Agricultural and Biological Sciences 7 7%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 13 13%
Unknown 33 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2018.
All research outputs
#20,880,816
of 25,654,806 outputs
Outputs from BMC Psychiatry
#4,587
of 5,502 outputs
Outputs of similar age
#346,817
of 453,091 outputs
Outputs of similar age from BMC Psychiatry
#75
of 88 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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