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Associations between toddlers’ and parents’ BMI, in relation to family socio-demography: a cross-sectional study

Overview of attention for article published in BMC Public Health, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Title
Associations between toddlers’ and parents’ BMI, in relation to family socio-demography: a cross-sectional study
Published in
BMC Public Health, December 2015
DOI 10.1186/s12889-015-2602-8
Pubmed ID
Authors

Marie Lindkvist, Anneli Ivarsson, Sven Arne Silfverdal, Eva Eurenius

Abstract

It is well established that the pregnancy and the first years of life are important for future childhood health and body weight. Even though current evidence suggests that both parents are important for childhood health, the influence that parents' BMI and socio-demography has on toddlers' BMI has so far received little attention. This study aimed to increase our knowledge on the association between toddlers' and parents' BMI, in relation to family socio-demography. Further, the aim was to investigate the interaction between the mothers' and fathers' BMI in relation to their child's BMI. A total of 697 children with a median age of 18 months (range 16-24 months) participated in the study along with their mothers (n = 697) and fathers (n = 674). As regards representability, our parental sample had a lower proportion of immigrants and the parents were more gainfully employed compared to parents in the rest of Sweden (when the child was 18 months old). The parents completed a questionnaire on parental and child health. Data on parental weight, height, and socio-demographics were recorded along with the child's weight and height measured at an ordinary child health care visit. We used the thresholds for children's BMI that were recommended for surveillance by the Royal College of Paediatrics and Child Health in 2012 based on the WHO reference population. Among the toddlers, 33 % had a BMI above the WHO 85(th) percentile and 14 % had a BMI above the WHO 95(th) percentile. The probability of a toddler having a BMI above the WHO 95(th) percentile was significantly increased if either the mother or father was overweight (BMI ≥ 25 kg/m(2)). Furthermore, we found a positive synergistic effect between the mother and father being overweight and their child having a BMI above the WHO 85(th) percentile. No associations were found between the toddlers' BMI and the family's socio-demographics, but there were associations between the parents' BMI and the family's socio-demographics. High BMI is common even in toddlers in this population. The risk increases if one parent is overweight, and it increases even more if both parents are overweight. The results in this study confirm the importance of considering familial risk factors when examining child health and BMI at ordinary child health care visits already at an early age.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Student > Master 11 19%
Student > Bachelor 10 17%
Researcher 4 7%
Student > Doctoral Student 4 7%
Other 4 7%
Unknown 13 22%
Readers by discipline Count As %
Nursing and Health Professions 11 19%
Medicine and Dentistry 9 16%
Psychology 7 12%
Social Sciences 5 9%
Agricultural and Biological Sciences 3 5%
Other 8 14%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 26 February 2018.
All research outputs
#1,813,710
of 24,086,561 outputs
Outputs from BMC Public Health
#2,012
of 15,846 outputs
Outputs of similar age
#29,307
of 370,880 outputs
Outputs of similar age from BMC Public Health
#22
of 238 outputs
Altmetric has tracked 24,086,561 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,846 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 238 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.