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Social Disparities in Obesogenic Behaviors in Adolescents

Overview of attention for article published in Journal of Racial and Ethnic Health Disparities, January 2017
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Social Disparities in Obesogenic Behaviors in Adolescents
Published in
Journal of Racial and Ethnic Health Disparities, January 2017
DOI 10.1007/s40615-017-0339-z
Pubmed ID
Authors

Sasha A. Fleary, Karen M. Freund

Abstract

Demographic and social characteristics, such as sex, race/ethnicity, and income, have been implicated as risk and protective factors for behavior change regarding obesogenic behaviors in adolescents. The purpose of this study was to determine the social disparities in obesogenic behaviors and compare social disparities in obesogenic behaviors between adolescents who are overweight/obese and non-overweight adolescents using an alternative methodology for calculating disparities. Data were obtained from the 2013 Massachusetts Youth Risk Behavior Surveillance Systems. Social disparities ratios for meeting fruit and vegetable recommendation, daily breakfast consumption, physical activity, and non-sedentary activity were calculated using the Extended Gastwirth Index Method. Independent sample t tests were used to compare social disparities between non-overweight and overweight/obese participants. Racial disparities were the largest contributor to overall disparities for meeting fruit and vegetables recommendations, daily breakfast, and non-sedentary activity, while sex disparities were the largest contributor to overall disparities for meeting physical activity recommendations. The non-overweight group had lower free/reduced lunch disparities for all behaviors when compared to the overweight/obese group. The results of this study confirmed that social disparities exist for obesogenic behaviors. The methodology allowed for the determination of the percentage change needed in behavior to eliminate disparities between groups. These calculations are a useful tool for identifying groups that should be targeted for intervention if disparities are to be reduced.

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The data shown below were collected from the profiles of 9 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Ph. D. Student 5 11%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Doctoral Student 2 4%
Other 8 17%
Unknown 16 34%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Nursing and Health Professions 5 11%
Unspecified 4 9%
Social Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Other 4 9%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 February 2017.
All research outputs
#6,804,090
of 24,943,708 outputs
Outputs from Journal of Racial and Ethnic Health Disparities
#639
of 1,212 outputs
Outputs of similar age
#119,869
of 429,840 outputs
Outputs of similar age from Journal of Racial and Ethnic Health Disparities
#9
of 19 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one is in the 47th percentile – i.e., 47% 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 429,840 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 71% of its contemporaries.
We're also able to compare this research output to 19 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 57% of its contemporaries.