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Obesity and the onset of depressive symptoms among middle-aged and older adults in China: evidence from the CHARLS

Overview of attention for article published in BMC Public Health, July 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 news outlet
blogs
1 blog
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2 X users

Citations

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100 Dimensions

Readers on

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142 Mendeley
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Title
Obesity and the onset of depressive symptoms among middle-aged and older adults in China: evidence from the CHARLS
Published in
BMC Public Health, July 2018
DOI 10.1186/s12889-018-5834-6
Pubmed ID
Authors

Huiqiang Luo, Jijie Li, Qi Zhang, Peiya Cao, Xiaohui Ren, Aiping Fang, Haiying Liao, Lijuan Liu

Abstract

The association between obesity and depression has been documented in previous systematic studies but remains controversial. Many prospective studies have focused on children and youth, and several studies have examined this relationship among older populations. This study of the changes in obesity status aimed to examine the association between depression and obesity among middle-aged and elderly adults in China. The data originated from the follow-up survey (2011 and 2013-2015) of the China Health and Retirement Longitudinal Study (CHARLS) and included 3337 residents aged at least 45 years who completed a physical examination and were evaluated with the Center for Epidemiological Studies Depression Scale (CES-D-10), which assessed depressive symptoms. Obesity status was defined by body mass index (BMI) and waist circumference (WC) according to Chinese criteria. A time-dependent Cox proportional hazards model was used to estimate the relationship between obesity status and depressive symptoms. The rate of depression in men and women was 26.67 and 38.37%, respectively. Based on BMI, the proportion of the population that was overweight and obese was 28.07 and 9.26%, respectively, in males and 35.03 and 16.84%, respectively, in females. Males with obesity were less likely to suffer from depressive symptoms than males with a normal weight (ORHR = 0.506, 95% CI = 0.347~ 0.736). Based on WC, the proportion of abdominal obesity was 49.35% in males and 73.65% in females. Males with abdominal obesity were less likely to suffer from depressive symptoms than males without abdominal obesity (ORHR = 0.775, 95% CI = 0.644~ 0.933). Obesity is more likely to be associated with the onset of depression in males than in females. However, regardless of underweight or overweight status, the relationship between weight and depressive symptoms is negatively associated among females and males. In conclusion, both BMI and WC can be used as tools for examining the association between obesity and depression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 18%
Student > Ph. D. Student 11 8%
Student > Master 11 8%
Student > Postgraduate 7 5%
Student > Doctoral Student 7 5%
Other 22 15%
Unknown 59 42%
Readers by discipline Count As %
Medicine and Dentistry 31 22%
Nursing and Health Professions 19 13%
Psychology 7 5%
Social Sciences 4 3%
Sports and Recreations 3 2%
Other 12 8%
Unknown 66 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 11 April 2022.
All research outputs
#2,041,626
of 23,881,329 outputs
Outputs from BMC Public Health
#2,272
of 15,466 outputs
Outputs of similar age
#43,035
of 331,593 outputs
Outputs of similar age from BMC Public Health
#64
of 317 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,466 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 85% 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 331,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.