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Early life risk factors and their cumulative effects as predictors of overweight in Spanish children

Overview of attention for article published in International Journal of Public Health, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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105 Mendeley
Title
Early life risk factors and their cumulative effects as predictors of overweight in Spanish children
Published in
International Journal of Public Health, March 2018
DOI 10.1007/s00038-018-1090-x
Pubmed ID
Authors

Isabel Iguacel, Laura Escartín, Juan M. Fernández-Alvira, Iris Iglesia, Idoia Labayen, Luis A. Moreno, María Pilar Samper, Gerardo Rodríguez, On behalf of the CALINA study group

Abstract

To explore early life risk factors of overweight/obesity at age 6 years and their cumulative effects on overweight/obesity at ages 2, 4 and 6 years. Altogether 1031 Spanish children were evaluated at birth and during a 6-year follow-up. Early life risk factors included: parental overweight/obesity, parental origin/ethnicity, maternal smoking during pregnancy, gestational weight gain, gestational age, birth weight, caesarean section, breastfeeding practices and rapid infant weight gain collected via hospital records. Cumulative effects were assessed by adding up those early risk factors that significantly increased the risk of overweight/obesity. We conducted binary logistic regression models. Rapid infant weight gain (OR 2.29, 99% CI 1.54-3.42), maternal overweight/obesity (OR 1.93, 99% CI 1.27-2.92), paternal overweight/obesity (OR 2.17, 99% CI 1.44-3.28), Latin American/Roma origin (OR 3.20, 99% CI 1.60-6.39) and smoking during pregnancy (OR 1.61, 99% CI 1.01-2.59) remained significant after adjusting for confounders. A higher number of early life risk factors accumulated was associated with overweight/obesity at age 6 years but not at age 2 and 4 years. Rapid infant weight gain, parental overweight/obesity, maternal smoking and origin/ethnicity predict childhood overweight/obesity and present cumulative effects. Monitoring children with rapid weight gain and supporting a healthy parental weight are important for childhood obesity prevention.

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X Demographics

The data shown below were collected from the profiles of 5 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 15%
Student > Master 12 11%
Student > Ph. D. Student 10 10%
Researcher 7 7%
Student > Doctoral Student 7 7%
Other 20 19%
Unknown 33 31%
Readers by discipline Count As %
Nursing and Health Professions 26 25%
Medicine and Dentistry 16 15%
Psychology 5 5%
Agricultural and Biological Sciences 3 3%
Social Sciences 3 3%
Other 13 12%
Unknown 39 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 March 2018.
All research outputs
#14,455,786
of 25,660,026 outputs
Outputs from International Journal of Public Health
#1,043
of 1,929 outputs
Outputs of similar age
#170,373
of 352,598 outputs
Outputs of similar age from International Journal of Public Health
#13
of 30 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,929 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 352,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.