| Title |
Poor mental health status and its associations with demographic characteristics and chronic diseases in Chinese elderly
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, August 2016
|
| DOI | 10.1007/s00127-016-1271-y |
| Pubmed ID | |
| Authors |
Shibin Wang, Bo Li, Gabor S. Ungvari, Chee H. Ng, Helen F. K. Chiu, Changgui Kou, Yawen Liu, Yuchun Tao, Yanhua Wu, Yingli Fu, Yue Qi, Yaqin Yu, Yu-Tao Xiang |
| Abstract |
Although poor mental health is associated with significant personal and societal burden, it is rarely reported in older Chinese populations. This study examined the mental health status of a large representative sample of Chinese elderly in relation to socio-demographic characteristics, lifestyle, and chronic diseases. Multistage stratified cluster sampling was used in this cross-sectional study. A total of 4115 people aged between 60 and 79 years were selected and interviewed with standardized assessment tools. The 12-item General Health Questionnaire (GHQ-12) was used to measure general mental health with the total score of ≥4 as the threshold for poor mental health status. The adjusted percentage of poor mental health status in the whole sample was 23.8 %; 18.5 % in men and 28.9 % in women. Multivariate logistic regression analysis revealed that female gender, widowed/separated marital status, rural abode, low income, poor diet, lack of physical exercise, and multi-morbidity were independently associated with poor mental health. The percentage of poor mental health status was significantly higher in patients with anemia, diabetes, hyperlipidemia, cataract/glaucoma, ischemic heart disease, cerebrovascular diseases, nasopharyngitis, chronic gastroenteritis/peptic ulcer, liver diseases, cholecystitis/gallstone, arthritis, or chronic low back pain. Given the high rate of poor mental health status among older Chinese population, policy makers and health professionals in China should address the mental health burden of its aging population. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 11% |
| Researcher | 9 | 8% |
| Student > Doctoral Student | 9 | 8% |
| Student > Bachelor | 8 | 8% |
| Student > Ph. D. Student | 8 | 8% |
| Other | 16 | 15% |
| Unknown | 44 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 17% |
| Social Sciences | 9 | 8% |
| Psychology | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Sports and Recreations | 3 | 3% |
| Other | 16 | 15% |
| Unknown | 49 | 46% |
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 13 February 2019.
All research outputs
#18,530,416
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#2,163
of 2,534 outputs
Outputs of similar age
#252,116
of 346,052 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#16
of 17 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 13th percentile – i.e., 13% 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 346,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
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 is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.