↓ Skip to main content

Factors associated with and prevalence of depressive features amongst older adults in an urban city in eastern China

Overview of attention for article published in South African Journal of Psychiatry, March 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
39 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Factors associated with and prevalence of depressive features amongst older adults in an urban city in eastern China
Published in
South African Journal of Psychiatry, March 2017
DOI 10.4102/sajpsychiatry.v23i0.1064
Pubmed ID
Authors

Ping Shao, Yong Xu, Chen-Wei Pan

Abstract

Mental health problems have become serious for older Chinese adults who have lived through the process of urbanisation. This current research aimed to determine the prevalence of and associated factors for depressive features in a community-based sample of older adults in China. A community-based survey of 4077 adults aged 60 or older was conducted in Suzhou, China. Information including demographic characteristics, health behaviours, social support, disease histories and physical function was collected using a pre-designed questionnaire. Depressive features were assessed using the self-rating depression scale. Multivariate logistic regression analysis was performed to identify associated factors for depression. The overall prevalence of depressive features in the surveyed population was 47.4% (45.9% in men and 48.5% in women). In a multiple logistic regression analysis, the significant variables of depressive features were no fixed occupation (odds ratio [OR] = 0.28; 95% confidence interval [CI]: 0.21-0.37), doing non-technical and service work (OR = 0.23; 95% CI: 0.19-0.28) or being a manager and technical personnel (OR = 0.25; 95% CI: 0.19-0.32), physical activities (OR = 0.71; 95% CI: 0.61-0.82), never taking dietary supplements (OR = 0.73; 95% CI: 0.58-0.91), not having hobbies (OR = 1.34; 95% CI: 1.15-1.56), never interacting with neighbours (OR = 1.79; 95% CI: 1.28-2.50), cold relationship with a spouse (OR = 3.34; 95% CI: 1.18-9.45) and limited activities of daily living (OR = 2.27; 95% CI: 1.91-2.69). There is an urgent need for public policy interventions to address depression in elderly people located in Suzhou in China.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 4 10%
Unknown 14 36%
Readers by discipline Count As %
Psychology 6 15%
Medicine and Dentistry 6 15%
Social Sciences 4 10%
Nursing and Health Professions 2 5%
Environmental Science 1 3%
Other 4 10%
Unknown 16 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 April 2017.
All research outputs
#7,116,237
of 11,420,745 outputs
Outputs from South African Journal of Psychiatry
#2
of 2 outputs
Outputs of similar age
#147,968
of 264,104 outputs
Outputs of similar age from South African Journal of Psychiatry
#1
of 4 outputs
Altmetric has tracked 11,420,745 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one scored the same or higher as 0 of them.
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 264,104 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them