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The relation between obesity and depressed mood in a multi-ethnic population. The HELIUS study

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, April 2018
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Title
The relation between obesity and depressed mood in a multi-ethnic population. The HELIUS study
Published in
Social Psychiatry and Psychiatric Epidemiology, April 2018
DOI 10.1007/s00127-018-1512-3
Pubmed ID
Authors

Deborah Gibson-Smith, Mariska Bot, Marieke Snijder, Mary Nicolaou, Eske M. Derks, Karien Stronks, Ingeborg A. Brouwer, Marjolein Visser, Brenda W. J. H. Penninx

Abstract

To examine the association between obesity and depressed mood in a large multi-ethnic population and check for consistency in this association across six ethnic groups. Data of 21,030 persons (18-70 years) were sourced from the HELIUS study. Cross-sectional relationships between obesity measures [body mass index (kg/m2) and waist circumference (cm)] and depressed mood (PHQ-9 score ≥ 10) were analysed. Consistency of associations was investigated across ethnic groups by interaction terms (ethnicity*obesity measures) in basic (age, sex, education) and fully (health behaviours and somatic health) adjusted models. Obesity was prevalent in all ethnic groups, but varied substantially. After sociodemographic adjustment, obesity measures were associated with increased odds of depressed mood but this was inconsistent across ethnic groups. Obesity (BMI ≥ 30 or highest waist circumference quartile) was strongly and significantly associated with depressed mood in the Dutch [Odds Ratio (OR) = 1.72; 95% Confidence intervals (CI) 1.24-2.40, and OR = 1.86; 95% CI 1.38-2.50], respectively, and African Surinamese (OR = 1.60; 95% CI 1.29-1.98 and OR = 1.59; 95% CI 1.27-2.00, respectively) but had a weaker, non-significant association in other ethnic groups (South-Asian Surinamese, Ghanaian, Moroccan, Turkish groups). Adjustment for health behaviours and somatic health had limited effect on this pattern. Obesity was associated with a higher risk of depressed mood. However, ethnic differences were found: the obesity-depressed mood association was strong in the Dutch and African Surinamese populations, but not in other ethnic groups. Future studies should explore whether differential normative values or pathophysiology across ethnic groups explain why the obesity-depression association is inconsistent across ethnic groups.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 18%
Student > Ph. D. Student 14 11%
Student > Bachelor 11 9%
Researcher 8 6%
Student > Doctoral Student 7 5%
Other 21 16%
Unknown 45 35%
Readers by discipline Count As %
Medicine and Dentistry 26 20%
Nursing and Health Professions 15 12%
Psychology 7 5%
Social Sciences 6 5%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 22 17%
Unknown 50 39%
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 25 April 2020.
All research outputs
#13,212,862
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,717
of 2,534 outputs
Outputs of similar age
#155,717
of 330,635 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#31
of 35 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 31st percentile – i.e., 31% 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 330,635 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 52% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.