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Is body weight dissatisfaction a predictor of depression independent of body mass index, sex and age? Results of a cross-sectional study

Overview of attention for article published in BMC Public Health, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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2 news outlets
twitter
5 tweeters
facebook
1 Facebook page

Citations

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45 Dimensions

Readers on

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85 Mendeley
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Title
Is body weight dissatisfaction a predictor of depression independent of body mass index, sex and age? Results of a cross-sectional study
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3497-8
Pubmed ID
Authors

Aline Richard, Sabine Rohrmann, Tina Lohse, Monika Eichholzer

Abstract

Little is known about the association of dissatisfaction with body weight - a component of body image - with depression in individuals of different sex, age, and with different body mass index (BMI). Hence, the aim of our study was to evaluate the association of body weight dissatisfaction (BWD) with depression in different sub-groups. We analyzed data of 15,975 individuals from the cross-sectional 2012 Swiss Health Survey. Participants were asked about their body weight satisfaction. The validated Patient Health Questionnaire (PHQ-9) was used to ascertain depression. Age was stratified into three groups (18-29, 30-59, and ≥60 years). The body mass index (BMI) was calculated from self-reported body height and weight and categorized into underweight (BMI <18.5 kg/m(2)), normal weight (BMI 18.5-24.9 kg/m(2)), overweight (BMI 25.0-29.9 kg/m(2)), and obesity (BMI ≥30 kg/m(2)). The association between body weight dissatisfaction (BWD) and depression was assessed with logistic regression analyses and odds ratios (OR) with 95 % confidence intervals (CI) were computed. BWD was associated with depression in the overall group (OR 2.04, 95 % CI 1.66-2.50) as well as in men (OR 1.85, 95 % CI 1.34-2.56) and women (OR 2.25, 95 % CI 1.71-2.96) independent of BMI. The stratification by age groups showed significant associations of BWD with depression in young (OR 1.78, 95 % CI 1.16-2.74), middle-aged (OR 2.10, 95 % CI 1.61-2.74) and old individuals (OR 2.34, 95 % CI 1.30-4.23) independent of BMI. Stratification by BMI categories resulted in statistically significant positive associations of BWD and depression in underweight, normal weight, overweight and obese individuals. BWD was associated with depression independent of BMI, sex and age.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 14%
Student > Ph. D. Student 11 13%
Student > Master 9 11%
Student > Doctoral Student 8 9%
Researcher 7 8%
Other 14 16%
Unknown 24 28%
Readers by discipline Count As %
Medicine and Dentistry 18 21%
Psychology 14 16%
Nursing and Health Professions 13 15%
Social Sciences 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 9 11%
Unknown 27 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 July 2022.
All research outputs
#1,454,286
of 21,597,408 outputs
Outputs from BMC Public Health
#1,589
of 14,005 outputs
Outputs of similar age
#26,632
of 287,236 outputs
Outputs of similar age from BMC Public Health
#2
of 17 outputs
Altmetric has tracked 21,597,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 88% 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 287,236 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 90% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.